Title of Invention

ARRAY HAVING SUBSTANCES FIXED ON SUPPORT ARRANGED WITH CHROMOSOMAL ORDER OR SEQUENCE POSITION INFORMATION ADDED THERETO

Abstract ABSTRACT In fabricating various types of arrays such as a micro array, different kinds of biosubstances, or synthetic substances interacting with the biosubstances, are arranged and immobilized on a support such that the chromosomal order of base sequence blocks, corresponding to the biosubstances, is flticertainable. The biosubstances mny he niiclcic ni I'dH HVicii MS DNA, or polypeptides such as protein. The synthetic substances may be compounds that react with the biosubstances. By thus specifying the order of the biosubstances or synthetic substances immobilized on the support, the array can be used, for example, for screening in variety improvement of living organisms.
Full Text

TECHNICAL FIELD
The present invention relates, for example, to a novel
array and a fabrication method of the array, various analytical
systems using the array, and representative methods of using
these techniques.
More specifically, the invention relates to (1) an array,
such as a DNA micro array, in which biosubstances derived
from a Hving organism, or synthetic substances that interact
with the biosubstances, are immobilized on a support by being
arranged in an orderly manner, (2) a system for analyzing a
genotype of the organism of interest for display, and, in
particular a genotype analyzing and display system that enables
locations o( crossovers on the chromosomes to be visually
recognized in hybrid individuals obtained by crossing, (3) a
HVstfin for analyzing quantitative iriiit Inci f»( llir' riri'.nnism of

inlrrrNl, and representative melhutU of UHltiK ll, iiiul In
particular a quantitative loci analyzing system for analyzing
QTL by effectively using the analysis result obtained from a
nucleic acid array, and (4) a gene interaction analyzing system,
and in particular a gene interaction analyzing system for
effectively analyzing which genes or a group of genes are
associated with the traits or genes being analyzed, by effectively
using the analysis result obtained from a nucleic acid array.
The invention also relates to representative methods of using
such arrays and analyzing systems.
BACKGROUND ART
With the recent advance of the worldwide genome project,
the entire genomes of many model organisms have been
sequenced. Sequencing of the entire genomes of many other
organisms are underway as in the sequencing ai the human
genome in the Human Genome Project. As evidenced by these
advances, research in molecular biology has entered the
post-genome (post-sequence) era.
In the post-genome era, a new approach has been used for
the analysis of genome functions. Specifically, the emphasis of
genome function analysis has shifted, rather drastically, from
the conventional pinpoint approach whereby analysis is made
by cloning individual genes associated with certain living
phenomena, to a systematic and comprehensive approach
whereby gene functions are analyzed on a genome scale.
The genome information is also used for the analysis of
transcripts and proteins. Specifically, ^transcriptome analysis
and prote.c>m& analysis^ have won the recognition. The
transcriptome analysis is used for the analysis of transcripts,
whereby the expression of all transcripts in an organism or cells
are analyzed both systematically and comprehensively using

genome information. The proteome analysis is a systematic and
comprehensive method of analyzing proteins, in which the
properties or expression of all proteins expressed at any given
location and any given time in an organism or cells are analyzed
using genome information.
For the systematic and comprehensive analyses, various
array techniques are often used. The array technique refers to a
technique using an array, in which biosubstances, such as DNA
or various proteins obtained from the organism of interest being
analyzed, or synthetic substances (for example, compounds
with hythophobic groups or ion exchniiRe KrcuipH) lliiil internet
with such biosubstances urr immohillzeci on ti MVijiptut in tm
orderly manner.
With the array technique, the systematic and
comprehensive analysis can be performed efficiently. For
example, for the analysis of gene transcription control
mechanism, it is required to measure transcription level of
genes, which varies according to the state of the cell. For this
purpose, use of a DNA micro array, one form of the array
technique, allows for systematic measurement of transcription
level of several thousand to several ten thousand of genes (see
Non-Patent Documents 1-6, for example).
Among such DNA micro array techniques, one that has
been widely used is the DNA micro array technique developed
by Affymetrix. In this technique, oligonucleotides are directly
synthesized on a silica substrate using a microfabrication
technique employed in the fabrication of semiconductors (see
Patent Document 1, for example).
For example, for the analysis of gene transcription control
mechanism, it is required to measure transcription level of
genes, which varies according to the state of the cell. For this
purpose, use of a DNA micro array, one form of the array
H

technique, allows for systematic measurement of transcription
level of several thousand to several ten thousand of genes. Thus,
through hybridization, the nucleic acid array such as the DNA
micro array can produce a large amount of data concerning
gene expression.
However, it is practically impossible to manually process
the gene expression data obtained from the nucleic acid array
since the amount of data obtained in biotechnology is enormous.
In view of this, there have been proposed various types of
bioinformatics techniques, whereby a large volume of data is
analyzed using computers. As a technique of analyzing gene
expression data, it has been known to analyze gene expression
patterns in clusters, as disclosed in Patent Document 2, or
analyze gene expression data based on parameters and use it
for clinical purposes, as disclosed in Patent Document 3.
With the large data volume to be analyzed, the analysis
may yield complex results. Therefore, the bioinformatics
technique requires a technique of desirably displaying the
analysis results. For example, as a technique concerning gene
expression display, a technique for two-dimensionally
displaying expression level has been known, as disclosed in
Patent Document 4.
Willi the recent tidvancc in Ihr unir itunllfit iidnn
technique, alien genes have been introduced into vurinua pIuntB
to confer new traits. Actual application of such plants aa crop
plants is also underway. The development of genetically
modified crops (GMO) was once believed to have a promising
future in bio-industries. However, the GMO could not win
customer acceptance, and, today, safety of processed foods is
often promoted by not using GMO.
It is therefore inconceivable that the traditional crossing
or mutant induction will fade away in the variety improvement
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of crops. On the contrary, for' improving the market value of
crops or processed foods using crops, crossing or other
traditional methods are still favored as a primary method of
variety improvement of crops.
However, in actual variety improvement by crossing for
example, a group of hybrid individuals, numbering several
thousand to several tens of thousand, is screened for useful
individuals by observing or analyzing traits of the hybrid
individuals. As such, the efficiency of screening for superior
individuals is considerably poor.
The array technique and bioinformatics technique are
believed to facilitate the variety improvement employing
traditional crossing.
One known technique of crossing is screening of a
genotype using genetic markers. In variety improvement using
genetic markers, it is important to recognize loci associated with
target quantitative traits (QTL). The quantitative traits are
governed by the polygene system, and therefore it is not
possible to directly deal with the effects of expression of
individual genes. This is where statistical analysis is important
for the recognition of QTL. [Specifically, in order to recognize
QTL, selected genetic markers are scattered along the entire
chromosomes, and any linkage between the genetic markers
and the quantitative traits is determined in order to map
locations of QTL on a linkage map.
The QTL analysis requires development of genetic markers
or other materials such as hybrid lines (family lines), which are
used to construct a linkage map. In addition, the QTL analysis
produces a vast amount of information concerning analysis,
such as measurement of traits, or typing of genetic markers
(number of genetic markers B number of individuals). The array
technique and bioinformatics technique are considered to

facilitate the QTL analysis.
In tlie analysis of ^rne rxpicMHion (inlii. llir iritii
/^expression profile" is used to refer to puUcrna of ^f.nc
expression or amount which vary depending on the cell type or
cell stage. By measuring and analyzing the expression profile,
important findings concerning gene functions or regulation
mechanisms can be obtained. Such findings can be effectively
used for the variety improvement of industrially useful species.
In the case of humans, the analysis of expression profile can
yield useful results for drug discovery, pharmacology, toxicology,
and diagnosis.
One technique of expression profile analysis is one that
employs plustering, as disclosed in Patent Document 2 and
Patent Document 5. In clustering, a group of genes that shows
similar expression patterns under different measurement
conditions is identified and sorted into clusters on a nucleic
acid array. Another technique is one that Analyzes expression
networks between genes, as disclosed in Patent Document 6.
The expression level of a gene is directly or indirectly regulated
by other genes, and therefore finding expression networks
between genes provides important information in the expression
profile analysis, as does clustering.
For human applications, Patent Document 7 discloses an
evaluation index estimation technique, in which genes for
quantitatively estimating an evaluation index of interest are
suitably selected from data obtained from, each sample. For
example, in the score measuring changes in gene expression
profile caused by human illness, the number of samples is
considerably smaller than the number of genes on which
changes in expression level are measured, owning to the
difficulty in collecting a large number of samples. Thus, it is
often difficult to analyze the correlation with the illness by a
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common statistical method. In order to overcome such problems,
the technique disclosed in Patent Document 7 extracts genes
closely related to an evaluation index of interest and estimates
evaluation index data.
[Non-Patent Document 1]
Genome Functions, Expression Profile and Transcriptome;
Editor-in-Chief, Ken-ich Matsubara, Yoshiyuki Sakaki,
Nakayama-Shoten Co., Ltd., published on September 13, 2000
[Non-Patent Document 2]
DNA Micro Array; chief translator, Ikunoshinn Kato,
Maruzen, published on September 25, 2000
[Non-Patent Document 3)
DNA Micro Array Praclicnl Maniinl for S\iiirnsfui lUtta
Acquisition, Basic Principle, from Chip Fabrication to
Bioinformatics, Editor-in-Chief, Yoshihidc Hayashizaki,
YODOSHA Co., Ltd., published on December ], 2000
[Non-Patent Document 4]
Concise and Practical Introductions to DNA Micro Array
Data Analysis, YODOSHA Co., Ltd., published on November 20,
2002
[Non-Patent Document 5]
DNA Microarrays Associate Editor: Kaaren Janssen, Cold
Spring Harbor Laboratory Press, 2003
[Non-Patent Document 6]
Microarray Analysis, Mark Schena, John Wiley 86 Sons,
Inc., 2003
[Patent Document 1]
Japanese Unexamined Patent PubUcation No.
228999/2000 (Tokukai 2000-228999; published on August 22,
2000)
[Patent Document 2]
Japanese Unexamined Patent Publication No.
i

342299/2000 {Tokukai 2000-34^299; published on December
12, 2000)
[Patent Document 3]
Japanese PCT Laid-Open Publication No. 508853/2003
(published on March 4, 2003; International Publication No.
WOOl/016860, published on March 8, 2001)
[Patent Document 4]
Japanese Unexamined Patent Publication No.
342000/1999 [Tokukaihei U-342000; published on December
14, 1999)
[Patent Document 5]
Japanese Unexamined Patent Publication No. 30093/2004
{Tokukai 2004-30093; published on January 29, 2004)
[Patent Document 6]
Japanese Unexamined Patent Publication No.
175305/2002 (Tokukai 2002-175305; published on June 21,
2002)
[Patent Document 7]
Japanese Unexamined Patent Publication No. 4739/2003
(Tokukai 2003-4739; published on January 8, 2003)
Conventionally, the array technique han been developed
primarily for academic purposes centered on genome analysis,
or for providing a research tool. As such, Ihrrr has been no
Hcrrivf flrvclopment for morr prflcticid piniKiNfN. A intthlrni of
the array technique then is that it is not oftrn HUitoblr for
practical purposes such as identification of individuals, or
genetic analysis.
Specifically, in the array technique, the biosubstances or
synthetic substances are immobilized on a support in an orderly
fashion, but the order is not specific and the biosubstances or
synthetic substances are randomly arranged in most cases. The
random arrangement of biosubstances or synthetic substance,

r
however, does not cause any problem as long as the array
technique is used for the systematic and comprehensive
analysis of genes, etc. That is, there was no special meaning in
arranging the biosubstances or synthetic substances in a
predetermined order based on some criteria.
However, the systematic and comprehensive analysis of
genes, etc, has potential use in more practical applications such
as variety improvement of plants, for example. In using the
array technique for such purposes, it is desirable that the
biosubstances and synthetic substances be analyzed with
additional position information of chromosomes. In some cases,
it may be required to use some kind of reference to set the order
of arrangement.
A problem of the conventional bioinformatics technique is
that it cannot be used to efficiently perform crossing for variety
improvement, QTL analysis, and the like.
Specifically, in crossing, numerous numbers of
individuals in the hybrid generations need to be screened for
individuals in which target traits are expressed. Conventionally,
it is been required to grow the hybrid generation for several
years until the traits are confirmed. Further, depending on the
type of trait, the traits cannot be easily recognized by simply
growing the hybrid individuals. On the other hand, if the
screening is performed with large gene expression data obtained
from the nucleic acid array, whether target traits have been
inherited or not can be efficiently confirmed with good
reproducibility only by obtaining nucleic acids from the
individuals of the hybrid generation.
However, since the conventional bioinformatics technique
concerning gene expression is not intended for such a purpose,
the gene expression data obtained from the DNA micro array
has not been effectively used for crossing,
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The QTL analysis involves statistical analysis. When only
this aspect of QTL analysis is considered, the bioinformatics
ir(:hni(|iir IH easily applicablt* lo the QTl. IUIHIVHIN. Ilnwrvrr, im
technique is known that uses the array technique and the
bioinformatics technique in combination for the QTL analysis,
Further, as to the conventional bioinformatics technique
concerning gene expression, it has not been passible to
effectively use the technique in the QTL analysis.
Further, while the conventional technique allows
information concerning gene functions or regulating functions
to be obtained by performing an expression profile analysis on
cells of a particular type or particular stage, the technique
cannot provide enough information concerning expression of
genes associated with particular traits.
More specifically, since the expression profile analysis
analyzes expression profiles of cells of a particular type or
particular stage, a comprehensive gene expression analysis can
be carried out and expression patterns specific to a particular
cell type or particular cell stage can be obtained. However, while
the technique is useful in finding target genes or a target gene
group, it is not sufficient to analy2e which genes or a group of
genes are associated with predetermined specific traits or genes
of interest.
That is, the comprehensive gene expression analysis is
useful in finding clusters or networks in a vast amount
expression information, and obtaining therefrom specific genes
or a group of genes. However, the technique is not effective in
analyzing which genes or a group of genes are associated with
specific traits or genes of interest, because the technique in
which a vast amount of expression information is narrowed
down to desired information involves unnecessary information
processing and may cause difficulties in accurately narrowing
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down the information.
DISCLOSURE OF INVENTION
The present invention was made in view of the foregoing
problems, and an object of the invention is to provide an array
technique in which the order of arrangement of biosubstances
or synthetic substances immobihzed on a support is specified,
and which is therefore applicable to, for example, screening in
variety improvement of organisms.
Another object of the invention is to provide {IJ a genotype
analyzing and display system to be suitably used in effectively
using gene expression data of a nucleic acid array in crossing
for variety improvement, (2) a quantitative toci nniilyzing system
to br miitulily used in effectively iminK tlnla of a inulric Htid
arr&y in QTL analysis, (3) a gene interaction iitm]yzmg Hyntrm
for effectively analyzing, using the result of analysis obtained
from the nucleic acid array, which genes or a group of genes are
associated with target traits or genes that have been specified
beforehand, and (4) representative methods of using such
analyzing systems.
The inventors of the present invention diligently worked to
solve the foregoing problems, and accomplished the invention
by finding that, for example, a DNA micro array can be used for
screening in variety improvement of living organisms when DNA
fragments immobilized on a glass substrate (support) are
arranged in the order they are coded for on the chromosomes,
or when information obtained from the array is analyzed with
such order information.
In order to achieve the foregoing objects, the present
invention provides an array in which different kinds of
biosubstances obtained from an organism of interest, or
synthetic substances interacting with such biosubstances are
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arranged and immobilized on 'a support in an orderly manner,
the different kinds of biosubstances or the synthetic substances
being arranged such that a chromosomal order of base
sequence blocks corresponding to the biosubstances is
ascertainable.
In one specific example of the array in which the
biosubstances or synthetic substances are arranged in such a
manner that their chromosomal order is recognizable, different
kinds of biosubstances or synthetic substances are arranged in
the chromosomal order of respective base sequence blocks of
the biosubstances. Such an arrangement will be called a "direct
arrangement" (see First Embodiment).
in the direct-arrangement array, it is not necessarily
required that all of the biosubstances or synthetic substances
are arranged in the chromosomal order of respective base
sequence blocks of the biosubstances. As such, only some of
the biosubstances or synthetic substances may he arranged in
the chromosomal order of their respective base sequence blocks.
The support may include labels that indicate the chromosomal
order of the respective base sequence blocks of the
biosubstances.
In another example of the chromosomal order recognizable
array, the biosubstances or synthetic substances immobiUzed
on the support are each appended with sequence position
information corresponding to the chnimoHomnl nttter of the
respective sequence blocks of the biosubstunceH, udd. In UHr,
data is acquired and the sequence position information is read
out, so as to rearrange sequences of the data in the
chromosomal order. Such an arrangement will be called an
"indirect arrangement" (see First Embodiment).
In a more specific example of the indirect-arrangement
array, the support is realized by a collection of micro supports
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individually immobilizing the biosubstances or synthetic
substances, and each micro support is appended with sequence
position information corresponding to the chromosomal order of
the respective base sequence blocks of the biosubstances.
Based on the sequence position information, the order of
acquired data is rearranged in the chromosomal order.
In the array, nucleic acids or polypeptides can be used as
the biosubstances. The nucleic acid may be DNA, for example.
The type of DNA is not particularly limited, but a genetic marker,
genomic DNA, genomic DNA treated with restriction enzyme,
cDNA, EST, and synthetic oligoDNA are preferably used, for
example. It is preferable that a plurality of DNA molecules
immobilized on the support be arranged based on a genetic map
or physical map.
As a rule, in order to quantify gene expression level, cDNA
or cRNA derived from mRNA is generally used as a target
sample. In addition to cDNA and cRNA, the target sample used
in an array of the present invention may be genomic DNA
treated with restriction en2yme, when the biosubstance is
nucleic acid. Here, it is preferable that the target DNA have
been fractionated by size after treated with restriction enzyme.
When the biosubstance is polypeptide, proteins, fragments
of proteins, or oligopeptides can be used as the biosubstances.
The type of protein is not particularly limited. For example,
enzymes, kinase, antibodies, receptors, and proteins with an
SH3 region may be used. It is preferable that the proteins be
arranged based on a genetic map or physical map {see Second
Embodiment).
In an array according to the present invention, the
support or micro support may be an inorganic substrate, an
organic membrane, or a bead. More specifically, an array
according to the present invention may be a micro array, a
i)f

macro array, a bead array, or a protein chip.
A producing process of an array according to the present
invention includes the step of orderly arranging and
imniobiliziiiB on a support differrnl kintlH nf UluHuiiNltinrrH
(iblftined from an organism of interest, or synlhrlic BubstnnneH
interacting with such biosubstances, the step including
arranging and immobilizing the biosubstances or the synthetic
substances according to the order in which genes corresponding
to the biosubstances are coded for on a chromosome of the
organism. In the process, nucleic acids or polypeptides may be
used as the biosubstances.
Use of the present invention is not particularly limited.
For example, the invention can be used for identification of a
genotype, in which a chromosome fragment including a target
trait is identified from hybrids obtained by crossing, with the
use of an array using DNA as the biosubstance. The organism
used for the identification of such a chromosome fragment is
not particularly limited, and experimental animals and plants
can be used, for example. Further, the organism used for this
purpose may be a human. In this case, the genotype
identification method can be used as a gene diagnosis method.
The present invention can also be used, for example, for
screening in variety improvement, whereby a variety including a
target trait is selected, with the use of an array using DNA as
the biosubstance, from hybrids obtained by crossing of
organisms whose characteristics are to be improved. Here, the
type of organism used for variety improvement is not
particularly limited. For example, domestic animals or crops
can be used. Specific examples of crops include cereals such as
rice, wheat, corn, and barley.
The inventors of the present invention diligently worked to
achieve the foregoing objects, and accomplished the invention
\
based on the following finding. Namely, the inventors found that,
in analyzing gene expression data obtained from hybrid
individuals with the nucleic acid array, use of at least (1)
genetic information of parents of the hybrid individuals and (2)
a genetic map of the species to which these individuals belong
allows the gene expression data to be analyzed based on
graphical representation of locations of crossovers on the
chromosomes, and thereby enables the gene expression data
obtained with the nucleic acid array to be effectively used in
crossing for variety improvement.
Namely, a genotype analyzing and display system
according to the present invention includes; a genotype origin
detecting section for comparing (a) gene expression level
information comprehensively obtained through n hybridization
HMijlysiN of hybrid individnnlN wilh >i nuilrii uriil itnuv witlt (b|
genetic information of parents of the hybrid individuals, and a
genetic map of a species to which the hybrid individuals belong,
so as to determine whether a genotype of a hybrid individual of
interest derives from which parent; and a display information
generating section for gathering a plurality of results obtained
from the genotype origin detecting section and, based on the
results, generating display information used to display a
plurality of genotypes altogether on a chromosome basis, so as
to determine whether individual genotypes derives from which
parent (see Fourth Embodiment).
In the genotype analyzing and display system, it is highly
preferable that the nucleic acid be a chromosomal location
recognizable array in which a plurality of nucleic acid molecules
immobilized thereon are arranged such that a chromosomal
order of base sequence blocks corresponding to the nucleic acid
molecules is ascertainable.
It is preferable that the genotype analyzing and display
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system includes a genetic map constructing section for
constructing, based on genetic map constructing information, a
genetic map of a species to which the hybrid individuals belong.
It is preferable that the genetic map constructing information
includes names of genes and/or genetic markers known in the
species, and chromosomal loci of the genes and/ or genetic
markers.
In the genotype analyzing and display system, it is
preferable that the genotype origin detecting section determines
a genotype as being homozygous for one of the parents,
heterozygous, or unrecognizable to yield a result. Further, it is
preferable that the genotype origin detecting section use
genotype information and/or gene expression profile
information of parents as genetic information of parents.
In the genotype analyzing and display system, it is
preferable that the display information generating section
generate display information including at least one of
recombination number and recombination frequency of
individual chromosomes. Further, it is preferable that the
display information generating section generate display
information such that an origin of a genotype is identifiable
based on different display colors or patterns.
It is preferable that the genotype analyzing and display
system include at least one of an input section and an output
section. The input section preferably receives at least one of
('()mprr))rnHJve expression Irve] infnrmntinn of ^rnrn of Ihr
hybrid individuals, and genetic information of pHirnfs. J'Yirt.hrr,
the input section preferably receives genetic map constructing
information.
The input section may be, for example, a scanner i'or
enabling a hybridization result of the nucleic acid array to be
read out as image information. Preferably, an image information
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processing section is also provided that analyzes an expression
level of gene based on the image information and generating
comprehensive expression level information of gene.
It is preferable that the input section be a manual input
section for modifying at least one of: the comprehensive
expression level information of gene of the hybrid individuals;
the genetic information of parents; and the genetic map
constructing information.
It is preferable that the output section include at least one
of: a display for displaying the display information on a screen;
and a printer for printing the display information. Preferably,
the input section and output section are realized by an externa)
communications section for sending and receiving information
to and from an external device.
In the genotype analyzing and display system, the nucleic
acid array is generally, but not limited to, a DNA array on which
DNA is immobilized. Specific examples of DNA immobilized on
the DNA array include a genetic marker, genomic DNA, genomic
DNA treated with a restriction enzyme, cDNA, EST, and
synthetic oligoDNA. Specific examples of the nucleic acid array
include a micro array, a macro array, and a bead array.
Use of the present invention is not particularly limited.
For example, the invention can be used for identifying a target
trait-including chromosome fragment, using the genotype
analyzing and display system, from hybrids obtained by
crossing organisms. The organisms may be experimental
animals and plants.
The invention can also be used for screening for a target
trait-carrying variety from hybrids obtained by crossing
organisms whose characteristics are to be improved, using the
genotype analyzing and display system. The organisms crossed
for variety improvement may be experimental animals and
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plants, domestic animals, or crops.
The inventors of the present invention diliKf ntly worked to
achieve the foregoing objects, and accomplished the invention
by finding that the gene expression data ohf[iined with the
niiclric lu'id array can be effccrtively used fnr (he *y\'\. IUIMIVHIH
when the result of hybrid!2alion oblained from llir spoty of ihr
nucleic acid array is used as genetic marker information.
Namely, a quantitative loci analyzing system according to
the present invention include: a genetic marker specifying
section for comparing (a) com,prehensive presence information
of genes of hybrid individuals, obtained by hybridizing a
genomic sample of the hybrid individuals of a certain hybrid
line with a nucleic acid array on which a genetic marker of a
species of interest is immobilized (b) with a genetic map of a
species to which the hybrid individuals belong, and genetic
marker information known in the species, so as to specify a
genetic marker that exists in the hybrid line; and a quantitative
loci detecting section for detecting a quantitative locus of a
phenotype of interest of the hybrid individual, by confirming
whether a phenotypic value indicative of the phenotype is linked
to the genetic marker (see Fifth Embodiment).
In the quantitative loci analyzing system, it is highly
preferable that the nucleic acid array be a chromosomal
location recognizable array in which a plurality of nucleic acid
molecules immobilized thereon are arranged such that a
chromosomal order of base sequence blocks corresponding to
the nucleic acid molecules is ascertainable.
It is preferable that the quantitative loci analyzing system
include a genetic map constructing section for constructing,
based on genetic map constructing information, a genetic map
of a species to which the hybrid individuals belong. The genetic
map constructing information preferably includes names of
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genes and/or genetic markers known in the species, and
chromosomal loci of the genes and/or genetic markers.
In the quantitative loci analyzing system, it is preferable
that the genetic marker information used by the genetic marker
specifying section include a genetic marker with polymorphism.
More specifically, the genetic marker is preferably SNP or RFLP.
In the quantitative loci analyzing system, it is preferable
that the quantitative loci detecting section detect a quantitative
locus of phenotype by interval mapping.
It is preferable that the quantitative loci analyzing system
include: a scanner for enabling a hybridization result of the
nucleic acid array to be read out as im.age information; and an
image information processing section for analyzing an
expression level of gene based on the image information and
generating comprehensive expression level informntion of gene.
il IH preferable that thr t|vian1ilii1ive loci inmlvziiig t*VMlrm
include at least one of an input section and an outpvit section.
Here, the scanner can be used as an input section. The input
section preferably receives at least one of the genetic marker
information and the phenotypic value. Further, the input
section preferably receives at least one of the genetic map and
the genetic map constructing information.
Further, it is preferable that the input section be a
manual input section for modifying at least one of: the
comprehensive presence information of gene of the hybrid
individuals; the genetic marker information, and the genetic
map constructing information.
It is preferable that the output section be at least one of a
display for displaying an analysis result on a screen; and a
printer for printing an analysis result. Preferably, the input
section and output section be realized by an external
communications section for sending and receiving information
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to and from an external device.
In the quantitative loci analyzing system, the nucleic acid
array is generally, but not limited to, a DNA array on which
DNA is immobilized. Specific examples of the nucleic acid array
include a micro array, a macro array, and a bead array.
Use oi the present invention is not particularly limited.
For example, the invention can be used as a quantitative trait
analyzing method for analyzing a quantitative trait of an
organism, using the quantitative loci analyzing system, or a
gene searching method for searching for a gene associated with
expression of a trait of interest, using the quantitative loci
analyzing system, or a variety improvement method for
organisms, which uses the quantitative loci analyzing system.
The organisms used for variety improvement are preferably
laboratory animals and plants, domestic animals, or crops.
The inventors of the present invention diligently worked to
achieve the foregoing objects, and accomplished the invention
by finding that an analysis of whether or not which gene or
which group of genes is associated with a previously specified
trait or gene of interest can be effectively performed when
hereditary factors for regulating the expression level oi
individual genes are described based on the hybridization
results of the genetic markers immobilized on the nucleic acid
array.
Namely, a gene interaction analyzing system according to
the present invention includes: a genetic marker specifying
Hpftinn for comparing (a) comprehensivr ptcHcnir information
of ^PiirB of hybrid Individ mils, nljliiijird by hybi idlzln^ n
genomic sample of the hybrid individuals of u certain hybrid
line with a nucleic acid array on which a genetic marker of H
species oi interest is immobilized (b| with a genetic map oi a
species to which the hybrid individuals belong, and genetic
Jl

marker information known in the species, so as to specify a
genetic marker that exists in the hybrid line; a spot marker
information generating section for comparing the specified
genetic marker with the genetic marker immobilized on the
nucleic acid array, so as to generate spot marker information,
being genetic marker information for use in analysis, from
hybridization results obtained from individual spots on the
nucleic acid array; and a hereditary factor specifying section for
specifying, with regard to an arbitrarily selected phenotype and
gene to be analyzed, a hereditary factor of the selected
phenotype by determining whether the phenotypic value
indicative of the phenotype, and an expressed gene included in
expression profile information obtained from the hybrid
individual are linked to a plurality of spot marker information
(see Sixth Embodiment).
In the gene interaction analyzing systena, it is highly
preferable that the nucleic acid array be a chromosomal
location recognizable array in which a plurality of nucleic acid
molecules immobilized thereon are arranged such that a
chromosomal order of base sequence blocks corresponding to
the nucleic acid molecules is ascertainable.
It is preferable that the gene interaction analyzing system
include a genetic map constructing section for constructing,
based on genetic map constructing information, a genetic map
of a species to which the hybrid individuals belong. Further, it
is preferable that the genetic map constructing information be
names of genes and/or genetic markers known in the species,
and chromosomal loci of the genes and/or genetic markers.
In the gene interaction analyzing system, it is preferable
that the genetic marker information used by the genetic marker
specifying section be a genetic marker with polymorphism. More
specifically, the genetic marker is preferably SNP or RFLP.
W^

In the gene interaction analyzing system, the spot marker
information generating section generates spot marker
information only for a genetic marker spot found by
hybridization. Here, it is preferable that the spot marker
information generating section generate spot marker
iiiforniHlion by including position informntion of ii K'*"'^!^'^
murkrr immobilized on the jjucleic ucJd arvuy.
It is preferable that the gene interaction analyzing system
include an expression profile information generating section for
analyzing an expression profile in regard to a comprehensive
gene expression level obtained from the hybrid individual, so as
to generate expression profile information of the hybrid
individual. The expression profile information generating
section generates expression profile information of the hybrid
individual by comprehensively measuring gene expression,
using at least one of a micro array, a macro array, a bead array,
and a differential display. Here, it is preferable that the
expression profile information generating section generate
expression profile information using a nucleic acid array used
to obtain comprehensive presence information of gene of the
hybrid individual, or a nucleic acid array on which the sample
has been spotted.
The DNA array on which DNA is immobilized can be
suitably used as the nucleic acid array for obtaining the
gene-presence-information, or the nucleic acid array for
obtaining expression profiles. Specifically, the nucleic acid may
be a micro array, a macro array, or a bead array.
In the gene interaction analyzing system, the hereditary
factor specifying section specifies a hereditary factor of a
phenotype based on a quantitative trait locus (QTL) that exists
among genetic markers obtained by interval mapping. Here, the
hereditary factor specifying section may uses information of

expression level of a gene associated with the genetic marker, so
as to specify a hereditary factor of the phenotype.
The gene interaction analyzing system includes at least
one of an input section and an output section. The input
section receives at least one of: comprehensive presence
information of gene of the hybrid individual; the genetic marker
information; the phenotypic value; and the expression profile
information. Preferably, the input section receives at least one
of the genetic map and the genetic map constructing
information.
The input section is not limited to a particular structure.
For example, the input section may be provided as a scanner for
enabling a hybridization result of the nucleic acid array to be
read out as image information. Here, it is preferable that an
image information processing section be provided that analyzes
an expression level of gene based on the image information and
f^rnrriiting comprehensive expresaitui U'vel inrciniintifin of ^rne.
Tlic HCinmcr may be used us an input HCCMHII lui entering thr
expression profile information.
Further, it is preferable that the input section be provided
as a manual input section for modifying at least one of; the
comprehensive presence information of gene of the hybrid
individuals; the genetic marker information, and the genetic
map constructing information.
It is preferable that the output section be at least one of a
display for displaying an analysis result on a screen; and a
printer for printing an analysis result. Further, it is preferable
that the input section and the output section be realized by an
external communications section for sending and receiving
information to and from an external device.
Use of the present invention is not particularly limited.
For example, the present invention may be used as a gene

interaction analyzing method for analyzing interaction between
genes, using the gene interaction analyzing system, or a gene
searching method for searching for a gene associated with a
trait of interest, using the gene interaction analyzing system, or
a variety improvement method for organisms, which uses the
gene interaction analyzing system. The organisms used for
variety improvement may be laboratory animals and plants,
domestic animals, or crops.
For a fuller understanding of the nature and advantages
of the invention, reference should be made to the ensuing
detailed description taken in conjunction with the
accompanying drawings.
BRIEF DESCRIPTION OF DRAWINGS
Fig. 1 is a schematic diagram showing a specific
exemplary structure of an array according to the present
invention, when the substance immobilized on a support
(substrate) is DNA.
Figs. 2(a) and 2(b) are plan views schematically
illustrating expression of genes with particular characteristics
in the array of Fig. 1.
Fig. 3 is a schematic diagram showing expression of genes
with particular characteristics, concerning a resulting
segregating population of the cross between varieties
respectively expressing genes as shown in Figs, 2(a) and 2(b),
and a specific variety selected from the segregating population.
Fig. 4 is a schematic diagram showing a specific
exrmpliiry structure of an array arrordinK In I he present
invention, when the subsliince iminohilizrd oii ii Hupjunl
(aubatrtite) is protein.
Fig. 5 is a schematic diagram showing a specific
exemplary structure of an array according to the present
J^

invention, when the substance immobilized on a support
(substance) is a compound (synthetic substance) which
specifically interacts with protein.
Fig. 5 is a schematic diagram showing a specific
exemplary structure of a bead array as one example of an array
according to the present invention.
Fig. 7 is a block diagram illustrating an example of a
genotype analyzing and display system according to the present
invention.
Fig. 8 is a view illustrating an example of display
information displayed in the genotype analyzing and display
system according to the present invention.
Fig. 9 is a flowchart representing an example of an
analysis method employed by the genotype analyzing and
display system according to the present invention.
Fig. 10 is a block diagram illustrating an example of a
quantitative loci analyzing system according to the present
invention.
Fig. 11 is a flowchart representing an example of an
analysis method employed in the quantitative loci analyzing
system according to the present invention.
Fig. 12 is a block diagram illustrating an example of a
gene interaction analyzing system according to the present
invention.
Fig. 13 is a flowchart representing an example of an
analysis method employed by the gene interaction analyzing
system according to the present invention.
BEST MODE FOR CARRYING OUT THE INVENTION
[First Embodiment]
The following will describe one embodiment of the present
invention with reference to Fig. 1 through Fig. 3. It should be
«

appreciated that the present invention is not just limited to the
particular embodiment described below.
According to the present invention, there is provided an
array in which substances are immobilized on a support by
being arranged in a chromosomal order. The invention is
applicable to a wide range of array techniques. As used herein,
the "arniy techniques" refer to techniques conerMiiMH nrrnvs in
wliich different kinds of subsLancctt arc ordrily uimiigcd unci
immobiUzed on a support.
An array according to the present invention can be
classified according to the type of substance immobilized, the
type of support, use, or the Uke. The invention, to a large extent,
is characterized by the order of substances immobilized on a
support, and therefore the following specifically describes
representative examples of the invention based on different
types of substances immobilized on a support. First, in the
present embodiment, the invention will be described through
the case where the substance immobilized on a support is
nucleic acid.

The basic structure of an array used in the present
invention is not particularly limited. As noted above, the
invention provides an array in which a substance is immobilized
on a support, Here, the support (substrate) is not particularly
limited and may have any shape and may be made of any
material as long as it can immobilize the substance.
Examples of support materials include, generally,
inorganic materials such as glass or silicon wafer; natural
polymers such as paper; synthetic polymers such as
nitrocellulose or nylon; and gels using synthetic polymer or
natural polymer. The shape of the support is not particularly
limited either as long as it has a sufficient area on which the
^1

substance can be immobilized. Generally, those with a two
dimensional plane, for example, such as a substrate with little
or no flexibility, a flexible membrane, or a flexible substrate
with intermediate flexibility can be preferably used. The
thickness of the substrate or membrane is not particularly
limited either, and it can be suitably set according to the
material or use of the substrate or membrane.
The invention can also use bead arrays, as will be
described later. As such, the support may be a collection of
micro-supports on which biosubstances or synthetic substances
are individually immobilized. As such micro-supports, various
beads may be used, for example.
Here, a collection (group) of micro-supports makes up a
single support. Such a group of micro-supports is prepared and
used as a dispersion liquid (or a solution} charged into a small
container, in which m.icro-supports immobilizing biosubstances
(nucleic acid, protein, etc.) are dispersed. In this way, data can
br fredy acquired from the micro-supportH, I'^MCII rnictn HUpporl
is iippended with an ID code, and dutu is ufqulicd fruni llir
micro-support with the ID code. Thus, the order of substances
immobilized on the micro-supports corresponds to the arranged
order of data acquired from the micro-supports based on the ID
codes.
As used herein, the "substances immobilized on a
support" refer to different kinds of biosubstances obtained from
a living organism of interest, or synthetic substances which
interact with such biosubstances. In other words, in an array
according to the present invention, it is required that the
substances immobilized on a support be at least substances
associated with biosubstances derived from living organisms,
Substances which are not associated with biosubstances cannot
be used because, in this case, the coding order of chromosomes
^H

cannot be used as a basis of arranging these substances.
Nucleic acids and polypeptides are specific examples of
such biosubstances. As nucleic acids, DNA and RNA can be
used. Use of polypeptides as the biosubstances will described in
detail in the Second Embodiment. As to use of synthetic
substances that interact with biosubstances, detailed
description will be given in the Third Embodiment. Note that,
the biosubstances may include sugar chains, etc.
In an array according to the present invention, different
kinds of biosubstances or synthetic substances are arranged in
such a manner that the chromosomal order of respective base
sequence blocks of these biosubstances is recognizable. Thus,
for convenience of explanation, an array according to the
present invention will be referred to as a chromosomal location
recognizable array. In one specific implementation of such a
chromosomal location recognizable array, different kinds of
biosubstances are arranged in the chromosomal order. For
convenience of explanation, such an arrangement will be called
a "direct arrangement," because the order of the substances
arranged on the array directly corresponds to the order in which
these substances are sequenced on the chromosome.
In another implementation of a chromosomal location
recognizable array, the order of the substances arranged on the
array indirectly corresponds to the chromosomal order. This will
be called an "indirect arrangement."

The present embodiment is described below in more detail
based on an example (direct-arrangement array) in which DNA,
as an example of nucleic acid, is arrnngfd on a support in a
clirnrndsmiiul order.
For example, it is assumed here lluit an array is
fabricated for an organism Z based on an organism Z
c?-t

chromosome in which 10 genes ABCl through ABC 10 are
present that are lined up in this order on the chromosome, as
schematically illustrated in Fig. 1. It is also assumed that the
genes ABCl through ABC 10 respectively have corresponding
DNA fragments (assuming that such DNA fragments are
obtained). In this case, an array is fabricated by spotting these
DNA fragments in an orderly manner on a substrate. Note that,
in the following, the biosubstances immobilized on a substrate
will be referred to as "spots" where appropriate.
In spotting the DNA fragments on the substrate, a device
called a spotter or arrayer is generally used. The operation of
the spotter is controlled in such a manner that the DNA
fragments are spotted in the order their corresponding genes
are found on the chromosome. In this way, the DNA fragments
are immobilized on the support by being arranged in the order
"respective base sequence blocks of the biosubstances are
sequenced on the chromosome."
As used herein, the "base sequence block" refers to a
region of a certain length in the base sequence of a chromosome.
A typical example is a region corresponding to a gene that
encodes a protein. It should be noted, however, that the "base
sequence block" is not just limited to gene but may be a large
DNA fragment like a BAC (Bacterial Artificial Chromosome)
clone, or a region corresponding to only an exon. Further, the
"base sequence block" may be a region, like EST, that does not
necessarily include a coding region of a protein.
Referring to the foregoing example, the chromosomal order
may be simply the order of the genes ABCl, ABC2, ABC3, ... up
to ABC 10, or the order of three different fragments of ABCl
gene, three different fragments of ABC2 gene, and three
different fragments of ABC3 gene, and so on. Here, the number
of fragments may be three for ABCl gene, two for ABC2 gene.
30

and five for ABC3 gene. Namely, the order of substances
immobilized on the support is not particularly limited as long as,
when taken as a whole, it corresponds to the order in which
these substances are sequenced on the chromosome.
In the example illustrated in Fig. 1, a plurality of DNA
fragments occurs on a single chromosome. However, the present
invention is not just limited to this example, and the DNA
fragments may occur in more than one clirdinoHnme. In this
ciiHc, us with the foregoing, Ihr DNA IriiKiiirniN iitr niiimKrd oi)
the array in the order they are sequenced on the chromosomes.
Further, in the example illustrated in Fig. 1, a plurality of
DNA fragments is arranged as they are sequenced on the
chromosome. However, the present invention is not just limited
to this example. For example, in order to meet different
purposes, only some of the DNA fragments may be arranged in
the chromosomal order. That is, an array according to the
present invention may immobilize substances other than
nucleic acids, and at least some of the different kinds of
biosubstances or synthetic substances may be arranged in the
order the respective base sequence blocks of the biosubstances
are sequenced on the chromosome.
Further, in the direct arrangement, the chromosomal
order can be recognized by techniques other than arranging the
substances in the chromosomal order. For example, labels
indicative of the chromosomal order of respective base sequence
blocks of the biosubstances may be appended on the support.
As an example, labels may be provided that can
distinguish between first and second rows of DNA fragments
obtained from an organism of interest, wherein the first row
includes 10 kinds of DNA fragments (spots) obtained from
chromosome 1 and arranged in the chromosomal order, and the
second row includes 10 kinds of DNA fragments (spots) obtained
^
from chromosome 2 and arranged in the chromosomal order.
Further, as in the indirect arrangement described below,
information indicative of the type of DNA fragment immobilized
on each spot may be appended as a label in the vicinity of each
spot.

The following describes the indirect-arrangement array. In
the indirect-arrangement array, sequence position information
corresponding to the chromosomal order of the base sequence
blocks of the biosubstances is added to each of the
biosubstances or synthetic substances immobilized on the
support. This enables acquired data to be rearranged in the
chromosomal order based on the sequence position information,
irrespective of the order of the immobilized substances.
A specific example of the in direct-arrangement array is a
bead array, in which the support is a collection of
micro-supports individually immobilizing biosubstances or
synthetic substances (bead array will be described later). In this
arrnnRemrnt, each micro-support is npppndrti witli sequence
poMitidii information corrrHpondin^ lo thr- onlrr In wlilili
respective base sequence blocks of the bioHubstuncea iirc
sequenced on the chromosome.
In use, data is acquired and the sequence position
information is read out. Based on the sequence position
information, the sequence of the acquired data is rearranged in
the chromosomal order. By thus recognizing the chromosomal
order, the substances immobilized on the micro-supports can
be arranged in the chromosomal order.
Note that, a specific form of the sequence position
information is not particularly limited as long as it corresponds
to the chromosomal order of the respective base sequence
blocks of the DNA immobilized on the micro-supports.
-5^


In the present embodiment, DNA is used as the
biosubstance. The type of DNA (DNA fragment) is not
particularly limited, but a genetic marker, genomic DNA,
genomic DNA treated with restriction enzyme, cDNA, EST, and
synthetic oligoDNA are preferably used, for example. It is
preferable that the DNA be arranged based on a genetic map or
physical map. For example, for a group of different kinds of
genetic markers, it is preferable that these genetic markers
make up a genetic map. Based on the genetic map, the DNA
fragments can be arranged on a substrate.
The genetic marker or a group of genetic markers are riot
particularly limited as long as they can serve as genetic labels
on the chromosome. Non-limiting examples include an EST
marker using EST, a SNP marker including SNP (Single
Nucleotide Polymorphism), a RFLP (Restriction Fragment Length
Polymorphism) marker, and a micro satellite marker (SSR
(simple sequence repeat) marker). Thus, the genetic marker or a
group of genetic markers include genomic DNA treated with
restriction enzyme, EST, synthetic oligoDNA, and the like, if
they can be used as markers.
The number of biosubstances immobilized on the support
is not particularly limited, and it is generally on the order of
several thousand (10^). The number of immobilized (or
arranged) biosubstances varies greatly depending on the type of
device, such as a spotter, used for the fabrication of the array,
or the area of the support (substrate), for example.
It should be noted that, in the DNA array, information
concerning gene expression can only be obtained for genes
corresponding to the immobilized DNA fragmmlH. It is therefore
prrfrrtibk.' to increase the number oC iiiiiiHihl!l/cil blnHubMliiiii'fH
(DNA fragments) as much as possilile, in order lo perform ^;enc
i3

expression analysis more systematically and comprehensively.

The type of array used in the present invention is not
particularly limited and various conventional arrays can be
used. Specifically, a micro array, a macro array, a bead array,
or a protein chip can be used, for example. The present
embodiment uses nucleic acid as the biosubstance, and
therefore more specific examples include a DNA micro array and
DNA macro array, for example.
The DNA micro array is also known as a DNA chip, and
the immobilized DNA is often referred to as a probe. The micro
array is smaller in size than macro array and provides more
density. This enables the number of genes (DNA fragments)
immobilized as probes to be increased, allowing for more
comprehensive gene expression analysis.
The DNA micro array can be classified based on types of
immobilized DNA. However, structural differences can be
revealed more clearly if the DNA micro array is classified based
on fabrication methods. Specifically, based on fabrication
methods, the micro array can be broadly classified into the
Stanford type and the Affymetrix type.
A DNA micro array of the Stanford type is fabricated by
spotting a DNA solution onto a substrate (support) with a
spotter, wherein a slide glass for a microscope is used as the
substrate. One advantage of a DNA micro array of a Stanford
type is that it can always be fabricated with the use of a spotter.
However, this comes with a drawback in that it requires
expensive hardware (spotter, etc.}, or complex procedures for
the preparation of biosubstances as necessitated by a large
number of probes required for spotting.
On the other hand, a DNA micro array of the Affymetrix
type, as described in the BACKGROUND ART section, does not
3.^

employ the method of immobilizing DNA fragments on a
substrate with a spotter, etc., but is fabricated by chemically
synthesizing oligoDNA of about 25 mer on a substrate using a
micro fabrication technique commonly used in the fabrication of
semiconductors, namely, a photolithography technique.
Specifically, for each gene, 11 to 20 oligos (25 mers) (for
example, 11 oligos in the case of a barley DNA array) are set
based on base sequence data, and a pair of oligo DNA: one with
a perfect match to each 25 mer, and onr with a forced
MinKlf-buse mismatch at thr 13th biiMr IN UHrd MN II [iiolir, 'I'hr
array can be fabricated without using a spotter or other devices
when it is designed with data of a known database. Further,
since the probe (DNA fragment) has a constant length and the
sequence is known, the CG content, which influences the
strength of hybridization, can remain constant. It should be
noted, however, that since the probe is synthesized based on
information of a database, clones to be analyzed need to be
separately isolated.
As described above, the present invention is characterized
by the order information of the sequence of the nucleic acids
(biosubstances) immobiUzed on a substrate (support), and the
invention can use various types of DNA, including synthetic
oligoDNA, as the nucleic acids. This makes the techniques of
the present invention suitable for both Stanford DNA micro
array and Affymetrix DNA micro array.
The following describes an exemplary method of using the
DNA micro array. First, the DNA micro array is hybridized with
fluorescent-labeled target DNA (hereinafter, "targets"). Here, the
target molecules containing complementary sequences to the
probes on the DNA micro array bind to (hybridize with) their
complementary probe molecules, leaving other target molecules
unbound. Then, these target molecules not bound to the probes
^s-

are washed and removed, leaving only the hybridized target
molecules on the micro array. Since the target molecules are
fluorescence-labeled, the fluorescence of the targets is
measured as signal intensity and hybridized probes are
identified.
The fluorescent-labeled targets are generally prepared first
by extracting mRNA from cells of two different states (first state
and second state) to be compared, and then performing a
reverse transcription reaction in the presence of fluorescent
nucleotides. Here, two kinds of fluorescent dyes with different
detection wavelengths are used for the first state and second
state, respectively. The expression level of genes is greater for
the cDNA contained in the targets, and the fluorescent signal
intensity is in accord with the expression level of genes in each
state. Thus, from the measured signal intensity, the expression
level of a specific gene can be detected.
The DNA macro array basically has the same structure as
the DNA micro array, but differs from the DNA micro array in
that it uses a common membrane filter like a nylon membrane
as H subHtrate. An advantage nf the macro iirrny JH Ihnt it allows
liir fin t^xpression profile itiitilysiM, nciinrnr- wu\r, mnirdliiK.', In
methods based on conventional blotting nirlhoclH, Anollier
advantage is that, unlike the micro array, the DNA does nol
detach in washing, owning to the fact that Ihe spotted DNA is
immobilized on a membrane filter after denatured by an alktili
treatment. Therefore, the macro array and micro array should
be suitably selected according to use.
The following describes an exemplary method of using the
macro array. The macro array is used basically in the same way
as the micro array. Specifically, the macro array is hybridized
with isotope {^^P, etc.)-labeled targets. Then, target molecules
that did not bind to the array are washed and removed, leaving
5^

only hybridized target molecules on the macro array. Here,
since the target molecules are isotope-labeled, the spots are
exposed on an imaging plate and the expression level of the
targets is determined by measuring signal intensity from the
imaging plate—a procedure not performed in the micro array.
The techniques of the present invention can also be
applied to the mass array. In the mass array, genomic DNA
fragments are arranged and immobilized in an orderly manner
on a silicon substrate, and therefore the structure is basically
the same as that of the micro array. The mass array was
developed for SNP analysis, and as such it is used differently
from the DNA micro array.
Specifically, oligonucleotides corresponding to regions in
the vicinity of target SNP are synthesized and hybridized with
the mass array. Then, by using the oligonucleotides as primers,
a DNA fragment having a SNP single base difference is
synthesized through elongation catalyzed by DNA polymerase.
The DNA fragment is eluted and then ionized with MALDI. The
SNP type can be determined by detecting a single base mass
difference using TOS-MS. Note that, as to the MALDI-TOS-MS,
details will be described later in the Third Embodiment.
The DNA micro array and macro array are both
direct-arrangement arrays, whereas the bead array is classified
as an indirect-arrangement array. The bead array is used in
such a manner that, in a small container, a probe such as a
nucleic acid or antibody is immobilized on a surface of each
bead to which an ID code has been added, and that the probe
immobilized on the probe surface is specified by reading the ID
code of the bead. With use of a two-wavelength inser beam, 100
kinds of beads can be quantified. That is, in an array according
to the present invention, the support may br o collection of
micro itrrtiys (beads, for example) on wliicli hldHiilmtHiiifM or
?)-l

synthetic substances are individually immobilized.
In applying the invention to the bead array, each bead Is
appended with an ID code containing sequence position
information, as described above. In this way, measurement can
be performed in the same manner as in the other techniques.
Further, since the bead array allows for detection in a liquid
phase, it is effective in efficiently quantifying proteins in
particular. This will be described in detail in the Third
Embodiment.

The target DNA is not particularly limited. In quantifying
the expression level of genes, cDNA or cRNA derived from mRNA
is generally used as a target sample. In the present invention,
genomic DNA treated with restriction enzyme can also be used,
for example.
A gene expression analysis with a common DNA array
{represented by DNA micro array) is based on the principle of
Northern blotting. This is effective in detecting genes having
different expression patterns between two samples that differ
from each other by the presence or absence of a particular
disease, for example. However, if the purpose of the analysis is
to detect genetic differences between the two samples, finding
different gene expression is often not effective in meeting such a
purpose because different gene expression does not necessarily
mean that the samples are genetically different.
For a comparative expression analysis of a large number
of samples (lines) using known DNA micro array techniques, a
strict coordination (synchronization) of growth stage is required
between tested samples, or only specific tissues need to be
collected. Further, since the mRNA (cDNA) used as target DNA
is a collection of expressed genes, comparison can only be made
for the information of genes whose expression is specifically
-^9

activated or suppressed in a tested growth stage.
Further, there have been many reports that suggest
difficulties of a DNA micro array analysis in detecting a specific
mutated gene in the genome even if it is present, owning to the
fact that the expression level may not reflect the amount of
transcripts, that the genes may be expressed only in limited
tissues or stages, or that the amount of transcripts may be too
small to be detected by the Northern blotting method.
Meanwhile, diversity of genes is not necessarily governed
by mutations in the coding regions of genes. For rxample, there
have h^rn many reports that jiddrcHM ttir picuriicr ot (ibNriK r oC
insprEion and/or deletion in the introns, or Btructural
differences (for example, differences in promoter activities) in
the expression regulating region like a promoter sequence.
One applicable area of the present invention is variety
improvement. In this application, cereals can be suitably used
for variety improvement, for example. Among cereals, the
genome size of barley for example is greater than that of rice by
more than 10 fold. It is then highly likely that the non-coding
regions, which account for the majority of the barley genome,
contribute to the intraspecies diversity in barley.
In a DNA array according to the present invention, the
DNA fragments (biosubstances) immobilized on a support are
arranged in the chromosomal order. Thus, with an array of the
present invention, the location of chromosomal recombination
can be grasped by a single round of testing. Thus, in an
analysis using an array of the present invention, target DNA is
prepared so as to allow for use of the Southern blotting method.
In this way, structural mutations in the non-coding regions of
genes can also be efficiently detected, in addition to solving the
conventional problems associated with the Northern blotting
method.
^^

The method by which target DNA is prepared for Southern
blotting is not particularly limited, and genomic DNA is
fragmented by known methods. Specifically, genomic DNA
subjected to restriction enzyme is used as target DNA. In other
words, RFLP analysis is performed with an array of the present
invention.
Digestion of genomic DNA with restriction enzymes
produce probe DNA fragments of many different sizes as
compared with using mRNA (cDNA). This can be a drawback
where accurate detection of polymorphism, such as a length
difference, for example, between 500 bp and 5 kbp is required
on the array (detection sensitivity of imaging means for
detecting image information of array is brought into question).
In order to avoid such a problem, DNA fragments obtained
by the treatment of genomic DNA with restriction enzymes are
fractionated by size to be used as target DNA. In this way, a
length difference can be effectively detected as a polymorphism,
enabling an array of the present invention to be effectively used
in the analysis employing the Southern blotting method.
The method of size fractionation is not particularly limited,
unci any technique can be used as long fis tlir inr(hod HUOWS
Ihr ^ciinmic DNA treated with i rHliiitioti fiizviin'H 1 fractionated to required sizes. For example, ti coTnmerciidly
available nucleic acid purification column kit usinf^ u
centrifugal tube can be used. Further, size fractionation can be
performed by setting PCR conditions such that DNA fragments
of certain sizes are specifically amplified. The labeling method of
genomic DNA is not particularly limited, and labeling can be
made by a known method using PCR, for example.

A fabrication method of array according to the present
invention at least includes the step of arranging and
/eO

immobilizing on a support different kinds of biosubstances
obtained from a living organism of interest, or synthetic
substances interacting with such biosubstances. In the step,
the biosubstances or synthetic substances immobilized on the
support are arranged in the order genes of the organism are
coded on the chromosome.
When the biosubstances are nucleic acids as in the
present embodiment, the step follows the following procedure,
for example. After preparing genomic DNA, the genomic DNA is
fragmented by restriction enzymes, and a solution of DNA
fragments is spotted on the support using a spotter. Here, the
DNA fragments are spotted with a spotter in such a manner
that chromosome information of the corresponding genes can be
identified, as described above.
The spotter is not particularly limited and known
instruments can be suitably used. Specifically, for example, an
instrument that sputters a DNA solution onto a substrate
through a capillary pen, or an ink jet device that plots a DNA
solution on a substrate is available.
In the case where the support is a collection of micro
supports (beads) like a bead array {micro support group), DNA
or other substances are individually immobilized on the beads,
and sequence position information indicative of chromosomal
locations of the immobilized DNA is added, together with an
identification code, to each bead. The group of beads so
obtained is dispersed in a known liquid to prepare a bead
solution, which is then charged into a small container and used
as a bead array.

Use of an array according to the present invention is not
particularly limited. For example, in the case of an array using
DNA as biosubstances, the array can be suitably used to
h^

icit-nlily chromosome fruj'mrnls Inrliidiii^i n itu^rt litiil
(identification of genotype), from hybrids obtainrd by croMsin^
living organisms. Further, the array can be suitably used to
screen for a variety with a target trait, from hybrids obtained by
crossing organisms for variety improvement.
In conventional arrays, the DNA fragments immobilized on
the support are randomly arranged. This enables the expression
level or other profiles of the immobilized DNA fragments to be
individually analyzed. In hybrids, individual genes are inherited
in units of blocks, from a point of crossing over to the next
point of crossing over, on the chromosomes. Therefore, for the
genotype identification or selection in variety improvement, etc.,
it is necessary to determine the location and extent of
recombination and the presence or absence of unnecessary
recombination, in addition to finding individual traits. Thus,
conventional arrays with randomly arranged DNA fragments
cannot be used efficiently for the screening in variety
improvement, etc.
On the other hand, in an array of the present invention,
the DNA fragments (biosubstances) immobilized on the support
are arranged in the chromosomal order. Thus, with an array of
the present invention, the location of recombination on the
chromosomes can be found, if any, with a single round of
testing. This allows for accurate selection of individuals with
desirable traits from a segregating population of hybrid
individuals. Further, with an array according to the present
invention, chromosomal recombinations in the hybrid
generation can easily be estimated. This allows a group of genes
to be introduced in units of blocks, or genes in the blocks to be
modified.
Further, with an array according to the present invention,
the recombination patterns, i.e., the location and type of
i^

recombination on the chromosomes can be accurately grasped.
Thus, by identifying conserved regions of chromosomes where
recombination frequency is smal] in the population of hybrids or
natural population, recombination can be efficiently promoted
only in these regions of the chromosomes.
In an analysis using conventional arrays, the cause of
signal failure at a particular spot, whether it is actually caused
by unexpressed genes, or due to experimental error, cannot be
accurately determined unless it is rechecked. In contrast, in an
array according to the present invention, such an experimental
error can easily be found because the chromosomal order of
ONA fragments {biosubstanres) immohilizrd on tlir Hiipporl (-nn
be rrcoynized from their arrangement.
For example, consider the situation where signals are
obtained from spots in front of and after the spot where signal
failure has occurred. In an array according to the present
invention, the spots are arranged in such a manner that their
chromosomal order is recognizable. As a rule, in order for a
gene flanked by another gene on the same chromosome to be
recombined, two recombinations must occur in close proximity.
Given a significantly low probability of such a phenomenon, the
signal failure can be attributed to experimental error. Thus,
with an array according to the present invention, whether signal
failure that has occurred at a particular spot is due to
experimental error or not can easily be found, with the result
that analysis accuracy is improved.
The following schematically describes an example of a
screening method using an array according to the present
invention. It is assumed here that a DNA micro array according
to the present invention is fabricated using DNA fragments
obtained from barley. In a DNA micro array according to the
present invention, solid spots X in Fig. 2(a) indicate that genes
Ui%

that confer brewing characteristics are expressed, and hatched
spots Y in Fig. 2(b) indicates expression of genes that confer
disease-resistance.
In a DNA micro array according to the present invention,
the spots are arranged in a chromosomal order, and therefore
the positions of spots X and Y are fixed, For example, in Fig.
2(a), the spots X are fixed at the first, second, fifth, and sixth
positions of the first row, and at the ninth and tenth positions
of the bottom row. The spots Y are fixed at the third and fourth
positions of the first row, as shown in Fig. 2(b),
It is assumed here that segregating populations as
represented by four micro arrays in the bottom of Fig. 3 were
obtained from the cross between a variety expressing the
brewing genes as indicated by spots X (corresponding to the
upper left DNA micro array in Fig. 3) and a variety expressing
the disease-resistant genes as indicated by spots Y
(corresponding to the upper right DNA micro array in Fig. 3), for
example. From the result of analysis using these DNA micro
arrays, varieties expressing both the brewing genes and
disease-resistant genes can be screened for from the segregating
populations (variety corresponding to the upper left DNA miicro
array circled by a dotted line in the lower porlioii of Fig. 3).
I from wliicli parent can easily be determincti MIHO for oilier'
regions of the genome. Thus, a backcross, for example, hf.iwc.fin
H hybrid and the variety shown in Fig. 2(a) eusily allows for
selection and growth of varieties having all of the expressed
spots as illustrated in Fig. 2(a), i.e., the first, second, fifth, and
sixth spots of the first row, and the ninth and tenth spots of the
bottom row, as well as the third and fourth spots of the first row
as shown in Fig. 2(b).
The type of organism to which an array of the present
k^

invention is applicable is not particularly limited, and any of
plants, animals, and microorganisms may be used. Particularly,
an array of the present invention can be used in the foregoing
screening method in organisms that include chromosomes and
obey the laws of Mendelian genetics. Examples of such an
organism are, but not limited to, those commercially available
and for which need for variety improvement is high.
In the case of plants, various crops (plant and farm
products produced in agriculture, forestry, and fishery
industries) can be used. Specific examples include: cereals such
as rice, wheat, barley, rye, triticale, and corn; marine plants
such as seaweed; various vegetables and flowers; and trees
such as cedar or cypress. In the case of animals, various
domestic animals can be used. Specific examples include:
domestic mammals such as bovines, sheep, and pigs; domestic
birds such as chickens and quails; fish such as yellowtail
snapper, sea bream, carp, and sweetfish; insects such as honey
bees, and silkworm; and shellfish such as oyster, ormer, and
scallop. As microorganisms, bacteria such as Escherichia coli,
yeasts, fungi, actinomycetes, and basidiomycetes can be used.
Among these examples, the cereals include crops svtch as
rice, wheat, corn, and barley, which are cultivated worldwide
and are strategically important. Thus, by using the present
invention for the variety improvement of these plants, varieties
with desirable traits can be efficiently produced.
An array according to the present invention can also be
used for experimental animals and plants. Specific examples of
experimental animals include mice, rats, D. melanog aster, and
C. elegans. A specific example is Arabidopsis thaliana.
Further, for the purpose of identifying genotypes with an
array of the present invention, the invention can be applied to
humans. In other words, an array according to the present
k^

invention can be preferably used for a gene diriKiinsis method,
Hiiirp llif iirray allows for efricicnt idrniiricftlinii n( j'.r'MutvpcH,
[Sf^cond Embodiment]
Referring to Fig. 4, the following will descrilie another
embodiment of an array according to the present invention. It
should be appreciated that the invention is not limited by the
following description.
In the First Embodiment, the invention was described
through the case where nucleic acids were used as the
biosubstances. The present invention is not just limited to this
example, and the biosubstances may be polypeptides.

Polypeptides used in the present embodiment are not
particularly limited as long as they are peptides of amino acids.
Specific examples are proteins, fragments of proteins, and
oligopeptides. As used herein, "fragments of protein" refers to
polypeptides of partial amino acid sequences of a complete
protein. The "oligopeptide" refers to an oligopeptide with a
molecular weight of no more than 5000. The "protein" includes
a protein complex forming multimers, as well as monomer
proteins.
In an array according to the present embodiment, as in
the First Embodiment, the polypeptides immobilized on a
support are arranged in the order respective base sequence
blocks of the polypeptides are sequenced on a chromosome.
For example, it is assumed here, as in the example of Fig.
1, that an array is fabricated for an organism Z based on an
organism Z chromosome in which 10 genes ABCl through
ABC 10 are present that are lined up in this order on the
chromosome, as schematically illustrated in Fig. 4. It is also
assumed that 10 kinds of proteins are respectively transcribed
and translated from the genes ABCl through ABC 10 (as
k^

indicated by arrows). In this case, an array is fabricated by
spotting these proteins on a substrate in the chromosomal
order.
The "base sequence blocks" may be regions corresponding
to genes encoding the proteins, or regions corresponding to only
polypeptides as fragments of protein.
The type of protein used as the biosubstance is not
particularly limited. For example, enzymes, kinase, antibodies,
and proteins with an SH3 region may be used. It is preferable
that the proteins, as with the DNA in the First Embodiment, be
arranged based on a genetic map or physical map.

The type of array used in the prrHcnt rnilmdimrni IN not
pHrticularly limited as long as the polypeptldcH hiuni)bili/-cd on
the support are arranged in the order respective bawe sequence
blocks of the polypeptides are sequenced on the chromosome.
Specifically, for example, a peptide array, a kinase array, an
enzyme array, an SH3 domain array, and a receptor array may
be used, depending on the type of polypeptide immobilized on
the support.
In the peptide array, oligopeptides are immobilized on a
support. The oligopeptides may be synthetic, or may be
obtained by degrading or cutting proteins or other polypeptides
by a known method.
In the kinase array, different kinds of purified kinase
proteins are arranged and immobilized on a support. By finding
phosphorylation patterns exhibited by the kinase, the behaviors
of proteins in the cell can be observed, or phosphorylation
targets can be searched comprehensively.
In the antibody array, different kinds of antibodies are
arranged and immobilized on a support. The antibody array is
also known as an antibody chip. By allowing the antibody array
W)

to bind to proteins, proteins that interact with the target
antibodies can be detected.
In the enzyme array, different kinds of enzymes are
arranged and immobilized on a support. The enzyme array is
used for the purpose of monitoring activities of different kinds
of enzymes, for example.
In the SH3 domain array, a group of proteins with an SH3
region are arranged and immobilized on a support. A
representative example is the array manufactured by Panoraics.
The SH3 (Src Homology 3) domain is a relatively short
conserved region that occurs in Src protein. Specifically, the
SH3 domain has a beta-barrel structure of 50 to 70 amino acid
residues with five to six anti-parallel beta strands packed
together. The SH3 domain specifically binds to a target protein
via a peptide region (SH3 ligand) with a common sequence of six
to twelve residues. Two types of SH3 ligands are known, both of
which contain prolines. The binding is made as the proline
occupies a hydrophilic pocket.
In humans, about 408 kinds of proteins with SH3
domains are known. These proteins serve as mediators of
various interactions, playing part in cell-cell communications,
or signal transduction from a cell surface to the nucleus. Thus,
with the SH3 domain array, it is possihif to recognize
iiivnJvrim'iil of a specific- prowin in ji pju li" iiliu HJI^IIDI
iransriuclion, or the number of proteins involved in a spct-iric
reaction pathway.
In tlie receptor array, receptor proteins ussocitited witli
various cell responses are arranged and immobilized on a
support. The receptors are not particularly limited and not
necessarily limited to proteins as long as they can specifically
recognize substances such as hormones, neurotransmitters, or
foreign substances such as autacoid, or respond to physical or
1^1

chemical stimuli, when these substances or stimuli induce cell
response. Generally, the receptors are proteins which are
activated by specific substances or stimuli present in the cell
membrane, organelle membrane, or cytoplasm.
Some of the arrays described above are classified as
so-called biological chips, which are particular type of protein
chips.
The protein chip is a small array (chip) on which various
chemical properties suitable for protein analysis are spotted
and immobilized. Depending on the purpose of analysis, the
protein chip is broadly classified as a chemical chip and a
biological chip. The biological chip is used for the analysis of
specific binding (interaction) of proteins or other polypeptides.
As the substances immobilized on the chip, substances, for
example, such as antibody, receptor, or DNA are used that can
interact with polypeptides. Thus, in terms of purpose (use), the
nucleic acid-immobilized array described in the First
Embodiment can also be classified as a biological chip. As to
the chemical chip, details will be described later.
In some types of biological chips, a carbonyldiimidazole
group or epoxy group is immobilized on the surface. These
functional groups (compounds) can easily immobilize
biosubstances such as an antibody, receptor protein, or DNA,
allowing an array to be easily fabricated according to the
purpose of analysis. In other words, an array according to the
present invention may be adapted so that biosubstances (or
synthetic substances) are immobilized either directly on a
surface of a support, or, as in the biological chip, with an
intervening ligand compound that can desirably bind to the
support surface and the biosubstances.
fThird Embodiment]
Referring to Fig. 5 and Fig. 5, the following wilt describe
1/^

yet another embodiment of an array according to the present
invention. It should be appreciated that the invention is not
limited l)y the fallowing desirlplion.
In the foregoing First and Second EmbodimentB, the
present invention was described through the case whrrp nucleic
acids and polypeptides are used as biosubstances, respectively.
However, the invention is not limited to these examples, and
synthetic substances that can interact with the biosubstances
can also be used.

The synthetic substance is not particularly limited as long
as it can interact with the biosubstance. Specific examples are
compounds with a protein-interacting group, which may be a
hydrophobic group, cation-exchange group, anion-exchange
group, metal ion immobilized group, or normal phase group.
The synthetic substances also include synthetic
oligonucleotides and synthetic oligopeptides.
In an array of the present embodiment, as in the First and
Second Embodiments, the synthetic substances immobilized on
a support are arranged in the order respective base sequence
blocks of the biosubstances interacting with the synthetic
substances are sequenced on the chromosome.
For example, as in Fig. 1 and Fig. 3, it is assumed here
that an array is fabricated for an organism Z based on an
organism Z chromosome in which 10 genes ABCl through
ABC 10 are present that are lined up in this order on the
chromosome, as schematically illustrated in Fig. 5. It is also
assumed that 10 kinds of proteins are respectively transcribed
and translated from the genes ABC 1 through ABC 10 (as
indicated by arrows), and that the proteins specifically interact
with a certain compound. In this case, an array is fabricated by
spotting the compound in the order genes encoding the proteins
STO

interacting with the compound are sequenced on the
chromosome.
A specific example of an array using the synthetic
substances is a chemical chip as one type of the protein chip
described in the foregoing embodiment. The chemical chip is
generally used for the expression analysis, purification, and
identification of proteins, whereas the biological chip is used for
the evaluation of specific binding (interaction) of the proteins,
for example.
As described above, the protein chips include chemical
chip and biological chip. In the chemical chip, a functional
group (compound) such as a hydrophobic group,
cation-exchange group, anion-exchange group, metal ion
iniintibilized group, or normal phase Kf'>iip if* imiinil)ili/rd on a
chip surface. As with common chromatogruphy, the chcnilcnl
chip is used such that, when brought into contact with a
sample under certain reaction conditions, the functional group
can capture the proteins in the sample. The sample is not
particularly limited as long as it contains (or may contain)
proteins. Specific examples include biological samples such as
serum, urine, spinal fluid, synovial fluid, saliva, and tissue
homogenate; and culture samples such as cultured-cell
supernatant or cultured-cell crushed solution.

The method of analyzing the protein chip, including both
the chemical chip and the biological chips described in the
Second Embodiment, is not particularly limited. Generally, a
protein chip system is used. The protein chip system is not
limited to a particular structure, and is generally realized by a
computer including; a protein chip, a protein chip reader used
for measurement, and software for measurement and analysis.
The protein chip system may also include other components as
SI

well.
The protein chip reader is not particularly limited as long
as it can read out data of expression analysis or interaction
evaluation of proteins from the protein chip. Generally, a
Time-of-Flight Mass Spectrometry (TOS-MS) is used for this
purpose. In the TOS-MS, an ionized sample is allowed to fly
through a highly evacuated column by applying kinetic energy
of a constant acceleration voltage. The time of flight of the
sample reaching a detector is then measured to analyze the
mass of the sample. In this way, data of expression analysis or
interaction evaluation of proteins or the like is read out from
the protein chip.
The sample used in the TOS-MS may be polypeptides such
as proteins, or nucleic acids such as DNA. The method of
ionizing the biosubstance sample is not particularly limited,
and generally, a MALDI (Matrix Assisted Laser
Desorption/Ionization) method is used. In this method, a
sample immobilized on a metal plate (support) is ionized by
irradiation of a laser beam. The TOS-MS using the MALDI
method is called MALDI-TOF-MS.
The following describes an exemplary analysis method
using the protein chip system. First, one to several hundred
micro liters of sample is spotted on a protein chip. Then, the
surface of the protein chip is washed under predetermined
(■(HidilioiiH, HO as to remove siibstfincrs lliiil tin imi iiiiffiicl wilii
ihc suliHttuiees immobilizctl on thr pi'oUnn v.Uii> wuilbcc. In UUH
woy, proteins captured on the spot under specific conditions are
selected. Each spot is then ionized by MALDI, and the molecular
weight is measured by TOS-MS. The data obttiined from each
spot is analyzed by a computer.
The protein chip system allows a large number of samples
to be analyzed both quickly and quantitatively from a small
y^

amount of sample and based on the mass number, without
using any label or tag. Further, the system allows for
measurement of a trace component in a crude sample without
pre-treatment. Further, residual salts on the spots can be easily
removed before measurement is performed. The system is
therefore suitable for the search of marker proteins of various
diseases, or evaluation of toxicity, or for screening molecules
(candidate substances for drugs) that interact with specific
molecules.
Here, the advantages described in the First Embodiment
can be obtained if the synthetic substances or biosubstancs
immobihzed on the protein chip are arranged in the order they
are coded on the chromosome. In this case, the protein chip
system can improve the level of analysis it performs, or can be
used in more practical applications.

In order to efficiently identify proteins, the bead array as
described in the First Embodiment can be used. In the bead
array, as shown in Fig. 6, a plurality of beads (10 beads in Fig.
6) respectively appended with ID codes are charged in a small
container formed by a cell of a micro titer plate. On the surface
of each bead, a probe such as a biosubstance or synthetic
substance (antibody in this example) is immobilized.
With the sequence position information appended to the
beads, the type of protein (which of the 10 proteins transcribed
and translated (as indicated by the arrows) from the genes
ABCl through ABCIO as shown in Fig. 6) corresponding to the
probe immobilized on the surface can be specified. With a
two-wavelength laser beam, 100 kinds of beads may be
quantified.
This technique can be used for detection in a liquid phase,
and therefore is useful for quantification of proteins in
5J

particular. A representative example of the bead array system is
the fluorescent micro bead array system Luminex, the product
of Hitachi Software Engineering Co., Ltd.
The head array systrm is not Hmilrd in n iitirlii'iilnr
structur-e, and is generally realized by a slriictiirr including; n
plute with probes, an analyzer used for fluorescence detei-:tion,
and a computer equipped with software for measurement and
analysis. The micro bead array may include other elements avS
well.
The analyzer is not particularly limited as long as it can
read out the result of expression analysis or interaction
evaluation of the proteins, in some form of data, from the bead
array. Generally, a device equipped with a flowmetry
mechanism and fluorescence detection capability using a laser
beam can be used. The device can distinguish tones of bead
colors. Thus, by immobilizing different antibodies on the beads
and allowing the antibodies to bind to labeled samples, the level
of sam.ple binding can be measured for each bead by
flowcytometry. The samples can then be quantified from these
reactions by gathering several hundred samples for each type of
bead.
The sample used in the bead array system may be
polypeptides such as proteins, or nucleic acids such as DNA.
The bead array system allows a large number of samples to be
analyzed in a liquid phase both quickly and quantitatively from
a small amount of sample. Here, the advantages described in
the First Embodiment can be obtained if the synthetic
substances or biosubstances immobilized on the bead array are
arranged in the order they are coded on the chromosome.
It should be appreciated here that the invention is not
just limited to the foregoing embodiments and various
modifications are possible within the scope of the invention as
^/f

defined in the appended claims. Embodiments obtained by
suitably combining different technical means as disclosed in the
embodiments also fall within the scope of the present invention.
Thus, even though the foregoing Third Embodiment was
described through the case of bead array and protein chip as
arrays according to the present invention, an array analyzing
system such as the protein chip system is also applicable, for
example, to the DNA micro array described in the First
Embodiment.
As described above, in an array according to the present
invention, biosubstances, or synthetic substances that interact
with the biosubstances, are analyzed by arranging these
substances in the chromosomal order of the genes that encode
the biosubstances. This enables the array to be used in more
practical applications such as screening in variety improvement,
in udditian Lo improving reliabiUty of array unMlyHlh.
Note that, an array according to the present invention
may be provided as a kit according to intended use. For
example, in the case where the DNA array described in the First
Embodiment is used for variety improvement, the array may be
provided as a kit including reagents or instruments for
preparing target DNA.
[Fourth Embodiment]
Referring to Fig. 7 through Fig. 9, the following will
describe one embodiment of a genotype analyzing and display
system according to the present invention. It should be
appreciated that the invention is not limited by the following
description.
In a genotype analyzing and display system according to
the present invention, analysis is made for hybrid individuals
derived from the cross between individual A and individual B (A
H B) of an arbitrarily selected species of living organism, using
Sr

the result of hybridization performed with the nucleic acid array.
From the result of analysis, the system provides a graphical
representation of locations of the chromosomes of the hybrid
individuals where crossovers have occurred.
A genotype analyzing and display system according to the
present invention is not limited to a particular structure.
Specifically, as shown in Fig. 7, a genotype analyzing and
display system includes, for example, an image information
processing section (image information processing means) 11, a
genetic map constructing section (genetic map constructing
means) 12, a genotype origin detecting section (genotype origin
detecting means) 13, a display information constructing section
(display information constructing means) 14, a control section
(control means) 15, a memory (storage means) 16, a scanner
(image reading means, input means} 21, an external
communications section (external information input and output
means) 22, a storage medium reading and writing section
(memory means, input means, output means) 23, a manual
input section (manual input means} 24, a printer (image
forming means, printing means, output means) 25, and a
display (image display means, output means) 26. The genotype
analyzing and display system of such a structure can be
roughly divided into an input section, an output section, and an
analyzing section (analyzing means) 10,
(I) Nucleic acid array
■^Specific structure of nucleic iicid Jirniv -
'I'he invention analyzes and displayh a gcnolypf (if ii
desired species of living organism based on I he resiili of
analysis performed with a nucleic acid array on tlie expression
level of genes of hybrid individiials derived from the cross
between individual A and individual B (A n B}. The nucleic acid
array used in the present invention is not particularly lirnited,
BG

and conventional nucleic acid arrays can be suitably used.
Specific examples include a micro array, a macro array, and a
bead array. In the present embodiment, DNA is used as the
nucleic acid, and therefore more specific examples of the
nucleic acid array are DNA arrays such as a DNA micro array
and a DNA macro array.
The DNA micro array is also known as a DNA chip, and
the immobilized DNA is often referred to as a probe. The micro
array is smaller in size than macro array and provides more
density. This enables the number of genes (DNA fragments)
immobilized as probes to be increased, allowing for more
comprehensive gene expression analysis.
The DNA micro array can be classified based on types of
immobilized DNA. However, structural differences can be
revealed more clearly if the DNA micro array is classified based
on fabrication methods. Specifically, based on fabrication
methods, the micro array can be broadly classified into the
Stanford type and the Affymetrix type.
A DNA micro array of the Stanford type is fabricated by
spotting a DNA solution onto a substrate (support) with a
spotter, wherein a slide glass for a microscope is used as the
substrate. One advantage of a DNA micro array of a Stanford
type is that it can always be fabricated with the use of a spotter.
However, this comes with a drawback in that it requires
expensive hardware (spotter, etc.), or complex procedures for
the preparation of biosubstances as necessitated by a large
number of probes required for spotting.
On the other hand, a DNA micro array of the Affymetrix
type does not employ the method of immobilizing DNA
fragments on a substrate with a spotter, etc., but is fabricated
by chemically synthesizing oligoDNA of about 25 mer on a
substrate using a micro fabrication technique commonly used
57

in the fabrication of semiconductors, namely, a
photolithography technique.
Specifically, for each gene, 11 to 20 oligos (25 mers) (for
example, 11 oligos in the case of a barley DNA array) are set
Im.sfd on b/me sequence dala, and a pair r>f olij^o DNA; our vvilb
a pfrfcct match to each 25 mer, unci single-base mismatch at the I 3th base is used as a probe. The
array can be fabricated without using a spotter or other devices
when it is designed with data of a known database. Further,
since the probe (DNA fragment) has a constant length and the
sequence is known, the GC content, which influences the
strength of hybridization, can remain constant. It should be
noted, however, that since the probe is synthesized based on
information of a database, clones to be analyzed need to be
separately isolated.
In the present invention, either the Stanford DNA micro
array or the Affymetrix DNA micro array can be used as the
nucleic acid array.
The following describes an exemplary method of using the
DNA micro array. First, the DNA micro array is hybridized with
fluorescent-labeled target DNA (hereinafter, "targets"). Here, the
target molecules containing complementary sequences to the
probes on the DNA micro array bind to (hybridize with) their
complementary probe molecules, leaving other target molecules
unbound. Then, these target molecules not bound to the probes
are washed and removed, leaving only the hybridized target
molecules on the micro array. Since the target molecules are
fluorescence-labeled, the fluorescence of the targets is
measured as signal intensity and hybridized probes are
identified,
The fluorescent-IabeJed targets are generally prepared first
by extracting mRNA from cells of two different states [first state
£?

and second state) to be compared, and then performing a
reverse transcription reaction in the presence of fluorescent
nucleotides. Here, two kinds of fluorescent dyes with different
detection wavelengths are used for the first state and second
state, respectively. The expression level of genes is greater for
the cDNA contained in the targets, and the fluorescent signal
intensity is in accord with the expression level of genes in each
state. Thus, from the measured signal intensity, the expression
level of a specific gene can be detected.
The DNA macro array basically has the same structure as
the DNA micro array, but differs from the DNA micro array in
that it uses a common membrane filter like a nylon membrane.
An advantage of the macro array is that it allows for an
expression profile analysis, genome wide, according to methods
based on conventional blotting methods. Another advantage is
that, unlike the micro array, the DNA fior» nn) detach in
wushiny, owning to the fad thut the Npotted DNA IK itiinicihlll/.fd
on a membrane filter after denatured by an ulkuli treatment.
Therefore, the macro array and micro array should be suitably
selected according to use.
The following describes an exemplary method of using the
macro array. The macro array is used basically in the same way
as the micro array. Specifically, the macro array is hybridized
with isotope (^^P, etc.)-labeled targets. Then, target molecules
that did not bind to the array are washed and removed, leaving
only hybridized target molecules on the macro array. Here,
since the target molecules are isotope-labeled, the spots are
exposed on an imaging plate and the expression level of the
targets is determined by measuring signal intensity from the
imaging plate—a procedure not performed in the micro array.
The techniques of the present invention can also be
applied to the mass array. In the mass array, genomic DNA
Sf

fragments are arranged and immobilized in an orderly manner
on a silicon substrate, and therefore the structure is basically
the same as that of the micro array. The mass array was
developed for SNP analysis, and as such it is used differently
from the DNA micro array.
Specifically, oligonucleotides corresponding to regions in
the vicinity of target SNP are synthesized and hybridized with
the mass array. Then, by using the oligonucleotides as primers,
a DNA fragment having a SNP single base difference is
synthesized through elongation catalyzed by DNA polymerase.
The DNA fragment is eluted and then ionized with MALDL The
SNP type can be determined by detecting a single base mass
difference using TOS-MS.
The bead array can also be used as the nucleic acid array
of the present invention. The bead array is used in such a
manner that, in a small container, a probe such as a nucleic
acid or antibody is immobilized on a surface of each bead to
which an ID code has been added, and that the probe
immobilized on the probe surface is specified by reading the ID
code of the bead. With use of a two-wavelength laser beam, 100
kinds of beads can be quantified. That is, in an array according
to the present invention, the support may be a collection of
micro arrays (beads, for example) on which biosubstances or
synthetic substances are individually immobilized.

The nucleic acid array used in the present invention is
nios! prrft^rably the chromosoma) lofjiiinn rcrnjj))i/,;ib]f nrray
descriticii in tlie First I'^nihodtnu'iil, In (he i in'oriinmnniil
localion recognizable array, the probes (a plurnlily of nucleic
acid molecules) immobilized on a support are arranged In such
an orderly manner that the chromosomal ordrr of respertivf
base sequence blocks of the nucleic acid molecuies is
60

recognizable. In the most typical chromosomal location
recognizable array, the nucleic acid molecules (probes) are
arranged in the chromosomal order of respective sequence
blocks of the base sequences of the probes. That is, the probes
are arranged in the chromosomal order. With the probes
arranged in the chromosomal order, the chromosomal location
recognizable array provided as a nucleic acid array is usable as
a micro array, a macro array, a mass array, and the like.
In the bead array, the beads immobilizing the probes are
appended with sequence position information indicative of the
chromosomal order of base sequence blocks corresponding to
the base sequences of the probes. In use, the analysis result
(result of hybridization) is acquired and the sequence position
information is read out, so that the order obtained from the
analysis result is rearranged in the chromosomal order.
The nucleic acid molecules immobilized on the nucleic
acid array may be DNA or RNA, and DNA is generally used as
described above. The type of DNA used as the probes
immobilized on the DNA array (nucleic acid array) is not
particularly limited, but a genetic marker, genomic DNA,
genomic DNA treated with restriction enzyme, cDNA, EST, and
synthetic oligoDNA are preferably used, for example. It is
preferable that the DNA be arranged based on a genetic map or
physical map. For example, for a group of different kinds of
genetic markers, it is preferable that these genetic markers
make up a genetic map. Based on the genetic map, the DNA
fragments can be arranged on a substrate.
The genetic marker or a group of genetic markers are not
particularly limited as long as they can serve as genetic labels
on the chromosome. Non-limiting examples include an EST
marker using EST, a SNP marker including SNP (Single
Nucleotide Polymorphism), a RFLP (Restriction Fragment Length
a

Polymorphism) marker, and a micro satellite marker (SSR
(simple sequence repeat) marker). Thus, the genetic marker or a
group of genetic markers include genomic Dl^fA treated with
restriction enzyme, EST, synthetic oligoDNA, and the like, if
they can he used as markers.
Thf number of DNA (probes) immohilizrd oti tlir support
is imt juirticularly limited, mul it in grnrriijly nii Ihr ordrr ol
several thousand (10'). The number of immobilized (or
arranged) DNA varies greatly depending on the type of device,
such as a spotter, used for the fabrication of the array, or the
area of the support (substrate), for example.
It should be noted that, in the DNA array, information
concerning gene expression can only be obtained for genes
corresponding to the immobilized DNA fragments. It is therefore
preferable to increase the number of immobilized DNA (probes)
as much as possible, in order to perform gene expression
analysis more systematically and comprehensively.
(11) Structure of genotype analyzing and display system

The invention analyzes and displays a genotype of a
desired species of living organism based on the result of
analysis performed with an nucleic acid array on the expression
level of genes of hybrid individuals derived from the cross
between individual A and individual B (A n B). To this end, a
genotype analyzing and display system according to the present
invention includes means (input section) for inputting the result
of hybridization analysis performed with a nucleic acid array on
the expression level of genes, i.e., comprehensive information
concerning expression level of genes of the hybrid individuals
being analyzed.
In the structure shown in Fig. 7, the analysis result from
the nucleic acid array is entered as image information through
S'ii'

the scanner 21. The image information processing section 11
analyzes the image information and generates expression level
information of genes from the analysis result. The scanner 21 is
not particularly limited as long as it can serve as image reading
means for reading the hybridization result as image information.
Specifically, the fluorescence of the targets that hybridized with
the probes is read out as image data from the nucleic acid array,
and the expression level of genes is detected from the signal
intensity of the image data. Thus, as the scanner 21, a
conventional fluorescent scanner 21 can be suitably used, for
example.
Here, the image information obtained from the scanner 21
is subjected to necessary information processing to generate
gene-expression-level information. Thus, as shown in Fig. 7,
the present invention preferably includes the image
information processing section 11 for analyzing the expression
level of genes based on the image information, nnd generating
cnmprrliensive gene-expresHion-Irvrl Infornutlldii. Tlir iniuKP
information processing section 11 is not Hmilcd to a particular
structure, and conventional gene expression analyzing systems
can be used.
Further, in the present invention, the result of
hybridization analysis from the nucleic acid array
(gene-expression-level information of the hybrid individuals) is
compared with the genetic information of the parents of the
hybrid individuals, and with the genetic map of the species to
which these individuals belong, as will be described later. To
this end, a genotype analyzing and display system according to
the present invention includes, in addition to the scanner 21
(image reading means), means for inputting genetic
information of the parents, and information of the genetic map.
The means for inputting genetic information of the
63

parents is not particularly limited. In the structure shown in
Fig. 7, the external communications section 22, the storage
medium reading and writing section 23, and the manual input
section 24 correspond to such means. Generally, the genetic
information of individuals of the parental generation is well
known, and therefore genetic information of the parents may
be obtained from database via networks with the external
communications section 22, or genetic information stored in
various storage media may be read out with the storage
medium reading and writing section 23. Further, if the
information can be manually entered, it may be entered
through the manual input section 24.
The external communications section 22 is not
particularly limited as long as it allows for input and output of
information to and from external devices, and conventional
communications interfaces such as a LAN card, a LAN board, a
LAN adapter, and a modem can be used. The storage medium
reading and writing section 23 is not limited to a particular
structure either. For example, known disk drives such as a
hard disk drive, a flexible disk drive, a CD-ROM drive, and a
DVD-ROM drive, or various memory cards or memory
cartridges such as USB memory can be used. The manual
input section 24 is not limited to a particular structure, and
conventional input means such as a keyboard or a tablet can
be suitably used.
The genetic information of parents is not particularly
limited, and may be genotypes of parents, or gene expression
prnfile information, for example. Amonf?, tln-Ne examples,
^^riidlyiie information of piirrnts IH iiioir liltfly In I"' Uimwii. In
particular, genotypes of organisms usee! for cxprrimenl, or
genotypes of important species in crops, domestic nnimals, or
the like are widely known and some are available as a dataliase.
dlf

Thus, genotype information can be suitably used as genetic
information of parents.
The gene expression profile information is obtained
through a comprehensive analysis of gene expression in the
cell. Under ordinary or specific conditions, the expression
pattern of genes may vary depending on the genotypes of
individuals. Thus, the gene expression profile information can
be used as genetic information of parents, instead of the
genotype information. Further, the gene expression profile
information may be used together with the genotype
information, so as to enhance genetic information of parents.
The means for entering genetic map information is not
particularly limited, and the means for entering genetic
information of parents may be used therefor. This is because a
relatively large number of genetic maps are available as
complete chromosome maps, as with the genetic information of
parents. However, given that fact that sufficient genetic maps
are not available for the majority of agricultural crops or
domestic animals, the invention may include, for example, the
genetic map constructing section 12 for constructing a
necessary genetic map based on genetic map constructing
information, as shown in Fig. 7, The genetic map constructing
section 12 will be described in more detail later.
Note that, the comprehensive gene-expression-level
information of the hybrid individuals may be entered without
being mediated by the scanner 21 or image information
constructing section 11. For example, gene-expression-level
information having been entered and analyzed through the
scanner 21 or other gene expression analyzing systems may be
entered through the external communications section 22 or
storage medium reading and writing section 23,
Further, it is preferable that a genotype analyzing and
^r

display system according to the present invention include
means for correcting at least one of the comprehensive
gene-expression-level information of hybrid individuals, genetic
information of parents, and genetic map constructing
information. Specifically, the manual input section 24 shown
in Fig. 7 corresponds to such means.
As will be described later, a genolypr iinnlyzinR and
di.spliiy system according In llie juTNnit iiivi-nlloji prjfnrmH iin
analysing steps in which an entry error is found, if any, wlien
creating a genetic map or display information. In this way,
reliability of final display information can be improved, It is
therefore preferable that means be provided for correcting an
entry error. Specifically, the manual input section 24 can be
used to for this purpose. The means for correcting an entry
error is not just limited to the manual input section 24, and
other means may be used as well.

The present invention analyzes and displays genotypes of
hybrid individuals of the cross between individual A and
individual B (A Bl B) in a desired species of living organism,
using the result of analysis performed on the expression level
of genes with a nucleic acid array. Thus, the analyzing section
10 for analyzing the information entered through the input
section is an essential component. The analyzing section 10 at
least includes the genotype origin detecting section 13 and the
display information generating section 14, as shown in Fig. 7.
In the genotype origin detecting section 13, the
gene-expression-level information or polymorphism information
generated in the image information processing section 11
through the scanner 21, or the gene-expression-level
information entered through the external communications
section 22 or the storage medium reading and writing section
a

23, etc., is compared with the genetic information of parents or
the genetic map, so as to determine whether the genotype of a
hybrid individual of interest derived from which parent. This is
not limited to a particular process, and the genotype origin
detecting section 13 can suitably perform the process
according to the selected procedure of crossing, or the type of
species of living organisms used. For example, a genotype may
be determined as being signal parental, hetero, or
unrecognizable to yield the result.
The determination is made using the genetic information
of the parents (genotype information, expression profile
information) and a genetic map, by comparing these
information with the gene-expression-level information and
polymorphism information. The polymorphism information may
be of SNP or RFLP, for example. The polymorphism information
is generally used as a genetic marker, and therefore the
presence or absence of a genetic marker distinct to the
genotype being compared may be used as a criterion of the
(Idermination. It should be apprr('iiitr prescnl invention is not just limited to this example, and the
polymorphism information is not necessarily required in the
comparison as long as the determination yields effective
results.
The display information generating section ]4 gathers the
results of determination obtained in the genotype origin
detecting section 13, and displays genotypes as a whole on the
chromosome basis based on the results of determination, so
that the parental type of the genotypes can be individually
recognized. The display information is not particularly limited
as long as the origin of each genotype can be recognized on the
chromosome basis. For example, it is preferable that the
display information be generated with statistics. The statistics
61

included in the display information is not particularly limited,
and may be, for example, at least one of, or preferably both of a
recombination number and recombination frequency of
individual chromosomes. With such statistics included in the
display information, information concerning crossovers can be
recognized comprehensively for each chromosome, in addition
to recognizing the origin of individual genotypes.
The display information is adapted so that the origin of
each genotype can be recognized on the chromosome basis.
Specifically, as shown in Fig. 8, the origin of a genotype of
interest can be recognized by different display colors or display
patterns. In the example illustrated in Fig. 8, the stripe region
indicates paternal origin (one of the parents), the dotted region
indicates maternal origin (the other parent), and solid region
indicate hetero origin. The blank region means that the origin
is unrecognizable. The display is not limited to such display
patterns, and different colors may be displayed to make
distinctions.
A map of genotypes of different individuals of a given
species of living organism is generally referred to as a graphical
genotype. From the graphical genotype, whether a particular
individual includes a particular trait (locus) can be found if a
marker linked to the trait is available. Thus, the present
invention can be thought of as a technique of displaying
genotypes of parents as graphical genotypes, based on the
result of hybridization analysis performed on the expression
level of genes with a nucleic acid array. As such, for the
display information generated in the present invention, a
display method used in the graphical genotype* cnn be suitably
A Ecnntype analyzing and display system iiccording lo llie
present invention may include the genetic map constructing
M

section 12, in addition to the genotype origin detecting section
13 and the display information generating section 14. The
genetic map constructing section 12 constructs a genetic map
of a species to which the hybrid individuals belong, based on
genetic map constructing information. As described earlier, the
genetic map is constructed for only some of the species. It is
therefore preferable to provide the genetic map constructing
section 12.
The genetic map constructing section 12 is not
particularly limited as long as the genetic map is constructed
on the chromosome basis based on various genetic map
constructing information. As the genetic map constructing
information, at least names of genes and/or genetic markers
known in the species being analyzed, and the chromosomal
loci of the genes and/or genetic markers are used, for example.
The means for entering the genetic map constructing
information is not particularly limited, and various input
sections, for example, such as the external communications
section 22, the storage medium reading and writing section 23,
and the manual input section 24 shown in Fig. 7 can be used.
Further, with the chromosomal location recognizable
array, a genetic map can be constructed through mapping of
genetic markers with unknown locations. Specifically, in order
to construct a genetic map, targets obtained from Mendelian
segregation population of the species being analyzed are
hybridized with the chromosomal location recognizable array.
Then, genetic markers with unknown locations are hybridi2:ed
on the same chromosomal location recognizable array, so as to
determine locations of the genetic markers. In this way, a high
density genetic map can be constructed,
Even though the foregoing example uses the same
chromosomal location recognizable array, the method of
6"^

mapping the genetic markers of unknown location is not just
limited to this example. For example, mapping can be made by
processing the same targets with the genetic markers on
different arrays. Here, mapping of genes is possible if the genes
follow the rule of Mendelian segregation as in Single Feature
Polymorphism (SFP), even if SNP or RFLP is not detected.
Thus, a genotype analyzing and display system according
to the present invention may be adapted HO thnt, in order to
constrti(:t a genetic map in the f^fiirtic nmp i (itiMlriuiliin
section 12, the hybridization result is analyzed and processed
by reading it from the array with the scanner 21 and the image
information processing section 11, before analyzing genotypes.
TO this end, the image information processing section 11 is
adapted to output information also to the genetic map
constructing section 12, as shown in Fig. 7 (as indicated by
arrow in the figure).
Information such as the genetic map constructed by the
genetic map constructing section 12, or the result of
determination made by the genotype origin detecting section 13
can be temporarily stored in the memory 16. The memory 15 is
provided in the analyzing section 10 as shown in Fig. 7, and
serves as a storage section for storing various information used
or generated in a genotype analyzing and display system
according to the present invention. The memory operation of
the memory 15 is controlled by the control section 15. The
memory 16 is not limited to a particular structure, and may be
realized, for example, by a semiconductor memory, such as
RAM or ROM. Note that, the storage medium reading and
writing section 23 described as an input section can be used
as a storage section of the present invention. This will be
described later in more detail In conjunction with the output
section.
10

The analyzing section of the structure shown in Fig. 7
includes the control section 15 for controlling the entire
operation of the analyzing section 10, and in turn the entire
operation of the genotype analyzing and display system. In the
structure shown in Fig. 7, the control section 15 outputs
control information to the image information processing
section 11, the genetic map constructing section 12, the
genotype origin detecting section 13, the display information
generating section 14, and the memory 16. These means
operate based on the control information they receive, thereby
operating the genotype analyzing and display system. It should
be noted here that the control section 15 is also adapted to
receive information from these means, and as such the flow of
control information is indicated by the bidirectional arrow in
Fig. 7.

The present invention analyzes and displays genotypes of
hybrid individuals of the cross between individual A and
individual B (A H B} in a desired species of living organism,
iming thr result of analysis perforinrd (in tlir rxprrHHJdn Irvrl
of genes with a nucleic acid array. To this end, a genotype
analyzing and display system according to the present
invention includes means, provided as an output section, for
outputting display information.
The output section for outputting the display information
is not particularly limited, and at least one of, or preferably
both of a display 26 for displaying display information on a
display screen (soft copy), and a printer 25 for printing display
information {hard copy) are provided. The display 26 is not
limited to a particular structure, and various types of known
displays such as a CRT, a liquid crystal display, and a plasma
display can be used. The printer 25 is not limited to a
-^1

particular structure, and known image forming devices such as
an ink-jet printer and a laser printer can be used.
It is preferable that the display 26 and the printer 25 are
both adapted to output display information in colors. This
enables the origin of a genotype to be displayed in different
colors, thereby increasing display variations. Use of color is
also preferable in displaying the origin of a genotype in the
display patterns shown in Fig. 8, because colors offer graphical
representations that are easier to read.
The output section is not just limited to the display 26 or
printer 25, and other means can be used as well. For example,
the external communications section 22 can be used as an
output section. Specifically, the external communications
section 22 allows for input and output of information to and
from external devices, by serving as both an input section and
an output section. This enables display information to be
transmitted to other devices via external networks, etc,
enabling a genotype analyzing and display system according to
the present invention to be used more efficiently.
Specifically, when the genotype analyzing and display
system is connected to externa) devices via LAN for example,
the genotype analyzing and display system, installed in a
research facility for example, can be shared with other
researchers via information terminals such as personal
computers. Further, the results of analysis obtained in the
genotype analyzing and display system, may be accumulated in
an external server via a communications network, allowing the
analysis result to be used more efficiently.
As the output section, the storage medium reading and
writing section 23, described as an input Hfction, can be
suitiilily used. Specifically, in a gciinly|K' i\\u\\\'/.\t\y_ MIKI (hft|iliiy
sysirin according to the present invenlion, a chivr for rt-nding
^^

information from a storage medium can be used as an output
section if the drive has a writing capability. The storage
medium reading and writing section 23 is not limited to a
particular structure, and known disk drives such as a hard
disk drive, a flexible disk drive, a CD-ROM drive, and a
DVD-ROM drive, or various memory cards or memory
cartridges such as a USB memory can be suitably used for
example, as described above in conjunction with the input
section.
Note that, in the exemplary structure shown in Fig. 7, the
system is realized by the analyzing section 10 and
independently provided input and output sections, wherein the
analyzing section 10 includes the image information processing
section 11, the genetic map constructing section 12, the
genotype origin detecting section 13, the display information
generating section 14, the control section 15, and the memory
16. However, the present invention is not just limited to this
structure. For example, all means may be provided as a single
unit, or some of the input sections and/or output sections may
be integrated with the analyzing section 10. Further, the
system may include means other than those shown in Fig. 7.
The analyzing section 10 is not just limited to a particular
structure, and conventional arithmetic means, for exaniple,
such as a central processing unit (CPU) of a computer may be
used. The operation of the analyzing section 10 is executed by
a computer program.
(Ui) Analyzing method by the genotype analyzing and
display system
An analyzing method performed by a genotype analyzing
and display system according to the present invention is not
particularly limited. Specifically, the method may include 12
steps as shown in Fig. 8.
"13

First, in step 101 (step will be denoted by "S" hereinafter),
genetic map constructing information (names of chromosomes,
genes, and genetic markers, and loci, etc.) is entered through
input sections. In S102, the genetic map constructing section
12 constructs a genetic map based on the genetic map
constructing information, and the genetic map is supplied to
the genotype origin detecting section 13. Here, the genetic map
may be stored in the memory 16, or optionally displayed in the
display 26. In S103, the presence or absence oT nn entry error
IN found (need for correction \H detcnniiirdl. 1( thrtr IM MM cMliy
error (YES), the genetic map constructing informfltitni is
re-entered in SI04 through, for example, the manual input
section 24, and the sequence returns to SlOl.
On the other hand, if correction is not required (NO), the
sequence goes to S105. In S105, genetic information of parents
(genotypes of parents and/or gene expression profile
information) is entered through input sections. In SI06,
gene-expression-level information (DNA array analysis result)
of hybrid individuals (target individuals in Fig. 9) being
analyzed is entered through the scanner 21 and image
information processing section 11. In S107, the genotype origin
detecting section 13 compares the comprehensive
gene-expression-level information of the hybrid individuals
with the genetic information of the parents, and the genetic
map of the species to which these individuals belong, so as to
determine whether a genotype of a hybrid individual of interest
derived from which parent. In SI08, it is decided whether the
determination has been made for all necessary genotypes. If
not (NO in Fig. 9), the sequence returns to S107 and the
procedure is repeated.
On the other hand, if the determination has been finished
for all genotypes in S108, the display information generating
iif

section 14 in S109 gathers results of determination and, based
on the results, generates display information, the display
information being generated for displaying a plurality of
genotypes together on the chromosome basis so that the
parental type of individual genotypes can be recognized. Here,
the display information may be stored in the memory 16, or
optionally displayed in the display 26. Then, in SI 10, the
presence or absence of an error in generating the display
information is found (need for correction is determined). If
there is an error (YES), correction information is entered in
Sill through the manual input section 24, and the sequence
returns to S107. If correction is not required (NO), the output
section outputs the display information in S112. This
completes the series of analysis procedures.
(IV) Use of the present invention
Use of a genotype analyzing and display system according
to the present invention is not particularly limited, and the
system is used for graphically displaying locations of
crossovers that have occurred on the chromosomes of hybrid
individuals of the cross between individual A and individual B
(A n n) (if an arbitrary spenirB of living (irgruiiHiii, liiiHcd nti the
result of analysis using the hybridization rcHiiltH ohlaincd wllh
the use of a nucleic acid array.
As a specific example, the invention can be suitably used
for identifying a target trait-containing chromosome fragment
from hybrids of organisms (identifying a genotype), or selecting
a variety with a target trait from hybrids of organisms being
crossed for variety improvenaent. With the present invention,
the site of recombination on the chromosomes can easily be
found. This allows for accurate selection of only those
individuals with a target trait from a segregating population
obtained by the cross. Further, with the present invention,
^5-

data of chromosomal recombinations in the hybrid generations
can be accumulated, making it possible to readily estimate
recombinations. This enables gene groups to be inserted in
units of blocks, or genes in the blocks to be modified.
The organisms to which the identification or screening of
a genotype according to the present invention is applicable are
not particularly limited, and may be any of plants, animals,
and microorganisms. Particularly, the invention is applicable
to organisms that have chromosomes and follow the laws of
Mendelian genetics. The organisms that follow the laws of
Mendelian genetics are not particularly limited, and those
commercially available and for which need for variety
improvement is high can be used.
In the case of plants, various crops (plant and farm
products produced in agriculture, forestry, and fishery
industries) can be used. Specific examples include: cereals
such as rice, wheat, barley, rye, triticale, and corn; marine
plants such as seaweed; various vegetables and flowers; and
trees such as cedar or cypress. In the case of animals, various
domestic animals can be used. Specific examples include:
domestic mammals such as bovines, sheep, and pigs; domestic
birds such as chickens and quails; fish such as yellowtail
snapper, sea bream, carp, and sweetfish; insects such as
honey bees, and silkworm; and shellfish such as oyster, ormer,
and scallop. As microorganisms, bacteria such as Escherichia
coli, yeasts, fungi, actinomycetes, and basidiomycetes can be
used.
Among these examples, the cereals include crops such as
rice, wheat, corn, and barley, which are cultivated worldwide
and are strategically important. Thus, by using the present
invention for the variety improvement of these plants, varieties
with desirable traits can he rrfic-ieiillv prnclui fd.
-76

An array according to the present invention ctm QIHO be
used for experimental animals and plants. Specific examples of
experimental animals include mice, rats, D. melanogastef, and
C. elegans. A specific example is Arabidopsis thaliana.
Further, for the purpose of identifying genotypes by the
present invention, the invention can be applied to humans.
It should be appreciated that the present invention is not
just limited to the foregoing embodiments. The foregoing
examples are not intended to limit the invention to the
particular forms disclosed, but on the contrary, the invention
is to cover all modifications, equivalents, and alternatives
falling within the scope of the invention as defined in the
appended claims.
As described, in a genotype analyzing and display system
according to the present invention, comprehensive
gene-expression-level information of hybrid individuals is
compared with the genetic information of parents of the hybrid
individuals, and a genetic map of the species to which these
individuals belong, so as to determine and display the origin of
the genotype of a hybrid individual of interest. Thus, for each
chromosome of the hybrid individuals, locations of crossovers
can be graphically displayed. That is, a genotype of a hybrid
individual can be accurately determined or recognized only by
acquiring nucleic acid from each individual of the hybrid
generation and obtaining a hybridization result using the
nucleic acid array.
Thus, with the present invention, whether or not a
genotype or trait of interest conferred by such a genotype has
been inherited can be accurately determined for each
individual of the hybrid generation. This enables individuals
with a target trait to be selected from a large group of hybrid
generation both easily and reliably and with good repeatability.
"77

That is, the invention allows gene expression data obtained
with the use of a nucleic acid array to be effectively used in
crossing for variety improvement.
[Fifth Embodiment]
Referring to Fig. 10 and Fig. 11, the following will describe
one embodiment of a quantitative loci analyzing system
according to the present invention. It should be appreciated
that the invention is not limited by the following description.
A quantitative loci analyzing system according to the
present invention examines various Menflrliun segregation
popululionH, such as an F2 populnlinn, bnclfrnmN |ii>|uilnl ion,
and doubled haploid population, in regard (o u phenotypic
value (for example, disease resistance quantified in scores) of
each hybrid individual of these populations, and hybridizes
extracted nucleic acid samples of the hybrid individuals with a
nucleic acid array so as to analyze quantitative loci using the
array spots as genetic markers.
A quantitative loci analyzing system according to the
present invention is not limited to a particular structure. For
example, a quantitative loci analyzing system includes, as
shown in Fig. 10, an image information processing section
(image information processing means) 31, a genetic map
constructing section (genetic map constructing means) 32, a
genetic marker specifying section (genetic marker specifying
means) 33, a quantitative loci detecting section (quantitative
loci detecting means) 34, a control section (control means) 35, a
memory (storage means) 36, a scanner (image reading means,
input means) 21, an external communications section (external
information input and output means) 22, a storage medium
reading and writing section (storage means, input means,
output means) 23, a manual input section (manual input
means) 24, a printer (image forming means, printing means,
1^

output means) 25, and a display (image display means, output
means) 26. The quantitative loci analyzing system having such
a structure can be roughly divided into an input section, an
output section, and an analyzing section (analyzing means) 30.
([) Nucleic acid array
The invention prepares genomic samples from hybrid
individuals obtained from each different Mendelian segregation
population of a desired species of living organism, and
hybridizes the genom.ic samples with a nucleic acid array so as
to obtain comprehensive gene-presence-information of the
hybrid individuals. The nucleic acid array used in the present
invention is not particularly limited, and conventional nucleic
acid arrays can be suitably used. Specific examples include a
micro array, a macro array, and a bead array. In the present
embodiment, DNA is used as the nucleic acid, and therefore
more specific examples of the nucleic acid array are DNA arrays
such as DNA micro array and DNA macro array.
As to the specifics of the DNA micro array, DNA macro
array, and other DNA arrays, no further description will be
given since they were described in detail in the foregoing Fourth
Embodiment. The chromosomal location recognizable array is
preferably used also in the present embodimrnl.
The following describes u metluKl of LIMJUK Ihc DNA urruy,
taking the DNA micro array as an example. First, the DNA micro
array is hybridized with fluorescent-labeled target DNA
(hereinafter, "targets"). Here, the target molecules containing
complementary sequences to the probes on the DNA micro array
bind to (hybridize with) their complementary probe molecules,
leaving other target molecules unbound. Then, these target
molecules not bound to the probes are washed and removed,
leaving only the hybridized target molecules on the micro array.
Since the target molecules are fluorescence-labeled, the
-^^i

fluorescence oi the targets is measured as signal intensity, so
as to identify hybridized probes.
In the present invention, comprehensive
gene-presence-information of hybrid individuals is obtained,
and therefore the presence of individual genes can be
recognized by the presence or absence of hybridization.
Specifically, genomic DNA obtained from individuals are treated
with restriction enzymes for example, and the resulting
fragments are used as targets and hybridized with a DNA array
so as to check for the presence or absence of complementary
base sequences that hybridize with the probes on the DNA array.
The resulting information is obtained as comprehensive
gene-presence-information.
The nucleic acid molecules immobilized on the nucleic
acid array are not particularly limited and DNA is generally
used, as described above. The type of DNA used as probes
immobilized on the DNA array (nucleic acid array) is not
particularly limited either, and a genetic marker or a group of
genetic markers are used in the invention. The genetic marker
or a group of genetic markers are arranged based on a genetic
map or physical map.
The genetic marker or a group of genetic markers are
not particularly limited as long as they can serve as genetic
labels on the chromosome. Non-limiting examples include an
EST marker, a SNP marker including, a RFLP marker, and a
micro satellite marker (SSR marker), as described above. Among
these examples, a SNP marker and RFLP marker including
polymorphism can be preferably used.
(II) Structure of quantitative loci analyzing system

In the present invention, genomic samples obtained from
hybrid individuals of each different hybrid line are hybridized
^0

witli a nuclric acid array on which Krnrtic iniirkriM of ii Nprciea
have hren immobilized. With the rcsultiiiiLi cmiiprclieuHlvc
gene-presence-information of the hybrid individuals, genetic
markers are specified for each different hybrid line and QTL
analysis is carried out. To this end, a quantitative loci analyzing
system according to the present invention includes, as an input
section, means for entering comprehensive
gene-presence-information for specifying genetic markers.
In the structure shown in Fig. 10, the analysis result from
the nucleic acid array is entered as image information through
the scanner 21. The image information processing section 31
analyzes the image information and generates
gene-presence-information from the analysis result. The
scanner 21 is not particularly limited as long as it can serve as
image reading means for reading the hybridization result as
image information. Specifically, the fluorescence of the targets
that hybridized with the probes is read out as image data from
the nucleic acid array, and the expression level of genes is
detected from the signal intensity of the image data. Thus, as
the scanner 21, a conventional fluorescent scanner 21 can be
suitably used, for example.
Here, the image information obtained from the scanner 21
is subjected to necessary information processing to generate
gene-presence-information. Thus, as shown in Fig. 10, the
present invention preferably includes the image information
processing section 31 for analyzing the image information, and
generating comprehensive gene-presence-information. The
image information processing section 31 is not limited to a
particular structure, and conventional analyzing systems can
be used.
Further, in the present invention, the result of
hybridization analysis from the nucleic acid array
1{

(comprehensive gene-presence-information of the hybrid
individuals) is compared with the genetic marker information
of the hybrid individuals, and with the genetic map of the
species to which these individuals belong, as will be described
later. To this end, a quantitative loci analyzing system
according to the present invention includes, in addition to the
scanner 21 (image reading means), means for inputting at least
one of the genetic marker information, and a phenotypic value
representing a phenotype of interest. In addition, the
quantitative loci analyzing system includes means for inputting
at least one of a genetic map and genetic mnp constructing
iiifnrmution.
The means for inputting genetic mnrkcr informotion or
phenotypic value is not particularly limited. In the structure
shown in Fig. 10, the external communications section 22, the
storage medium reading and writing section 23, and the
manual input section 24 correspond to such means. These
input means are also used for inputting a genetic map or
genetic map constructing information.
The external communications section 22 is not
particularly limited as long as it allows for input and output of
information to and from external devices, and conventional
communications interfaces such as a LAN card, a LAN board, a
LAN adapter, and a modem can be used. The storage medium
reading and writing section 23 is not limited to a particular
structure either. For example, known disk drives such as a
hard disk drive, a flexible disk drive, a CD-ROM drive, and a
DVD-ROM drive, or various memory cards or memory
cartridges such as USB memory can be used. The manual
input section 24 is not limited to a particular structure, and
conventional input means such as a keyboard or a tablet can
be suitably used.
?^

An example of the genetic marker information is position
information immobilized on the nucleic acid array. Specifically,
the hybridization detects spots if nucleic acid molecules having
complementary base sequences are present. Thus, once the
positions of immobilized spots on the nucleic acid array were
found to correspond to which genetic markers, the information
can be used as genetic marker information.
The phenotypic value is not particularly limited as long
as it represents a phenotype of interest. For example, the
inventors of the present invention have evaluated resistance to
Fusarium head bhght with the scores of 0 (resistance) to 10
(diseased) by modifying a cut spike test (see Development of
Fusarium head blight testing method, and a search for resistant
varieties in barley, Japanese Journal of Variety Improvement,
39, 1989, Kazuyoshi Takeda, Hideo Heta). In this manner,
phenotypic values may be suitably selected depending on the
type of species to be analyzed, or the type of desired trait.
A relatively large number of genetic maps as chromosome
maps are available for experimental animals and some of the
crops and domestic animals. However, the selection of genetic
maps is often not sufficient in most crops and domestic
animals. Thus, the genetic map is directly entered if it is
uvailalilr. If not, genetic map constnutitin inrortmitum is
entered and a new genetic map \H cunHtrucird In the gcnrtlc
map constructing section 32 shown in Fig. 10. Details of the
genetic map constructing section 32 will be described later.
A quantitative loci analyzing system according to the
present invention preferably includes means for correcting at
least one of the comprehensive gene-presence-information of
hybrid individuals, genetic marker information, and genetic
map constructing information. Specifically, the manual input
section 24 in the structure shown in Fig. 10 corresponds to
^S

such means.
As will be described later, a quantitative loci analyzing
system according to the present invention performs the step of
checking for the presence or absence of an entry error in the
analysis process, particularly in specifying genetic markers.
This improves reliability of final interval mapping performed in
a subsequent stage. It is therefore preferable that the system
include means for correcting entry error, i.e., the manual input
section 24, for example. Note that, the means for correcting
entry error is not just limited to the manual input section 24,
and other means may be used as well.

In the present invention, genomic samples obtained from
hybrid individuals of each different hybrid line are hybridized
with a nucleic acid array on which genetic markers of a species
of interest have been immobilized. With the resulting
comprehensive gene-presence-information of the hybrid
individuals, genetic markers are specified for each different
hybrid line and QTL analysis is carried out. To this end, a
quantitative loci analyzing system according to the present
invention includes, as an input section, means for entering
comprehensive gene-presence-information for specifying
genetic markers. Thus, the analyzing section 30 for analyzing
the information entered through the input section is an
essential component. The analyzing section 30 at least
includes the genetic marker specifying section 33 and the
quantitative loci detecting section 34, as shown in Fig. 10.
In the genetic marker specifying section 33, the
gene-presence-information generated in the image information
processing section 31 through the scanner 21 is compared
with the genetic map and genetic marker information, so as to
specify genetic markers for each different hybrid line.
n

Specifically, from the result of comparison between a genetic
map and position information of thr K^"!""'"' mnrUrrH
immobilized on the nucleic acid array, whethcj- oi MUL a hybrid
individual of interest includes the genetic markers is
determined. If the genetic markers are included, the genetic
markers are specified as the genetic markers of the hybrid line
to which the hybrid individuals belong.
In obtaining the presence information of genes of the
hybrid individuals, the use of the chromosomal location
recognizable array as a nucleic array allows the order of
immobilized spots to be used as the genetic marker
information. In other words, the order of immobilized spots
and the map distance (cM) of chromosomes, etc, can be used
as genetic marker information. This is highly preferable as it
makes it easier for the genetic marker specifying section 33 to
perform the comparison. Further, as described above, the
genetic marker information should preferably be polymorphic
genetic markers (SNP or RFLP}, since it is easily recognizable
as typical genetic markers of each different hybrid line.
The quantitative loci detecting section 34 determines the
quantitative loci of a phenotype of interest in the same hybrid
individuals by checking whether a phenotypic value
representing the phenotype is linked to the specific genetic
markers. The quantitative loci are determined by interval
mapping. The interval mapping is not particularly limited, and
simple interval mapping (SIM), or composite interval mapping
(CIM) may be used, for example. For a specific analysis of
interval mapping, a known analyzing system may be used.
Specific examples of such analyzing system include those
using analyzing software such as MAPMARKER/QTL or QTL
Cartographer.
A quantitative loci analyzing system according to the
gs-

present invention may include the genetic map constructing
section 32 in addition to the genetic marker specifying section
33 and the quantitative loci detecting section 34. Based on the
genetic map constructing information, the genetic map
constructing section 32 constructs a genetic map of a species
to which the hybrid individuals belong. As described earlier,
the genetic map is constructed for only some of the species. It
is therefore preferable to provide the genetic map constructing
section 32.
The genetic map constructing section 32 is not
particularly limited as long as the genetic map is constructed
on the chromosome basis based on various genetic map
c-onstnuMing information. AH thr RriiPtic iniip rntiHlniclinR
information, at least names of genes and/or genetic markrra
known in the species being analyzed, and chromosomal loci of
the genes and/or genetic markers are used, for example.
The means for entering the genetic map constructing
information is not particularly limited, and various input
sections, for example, such as the external communications
section 22, the storage medium reading and writing section 23,
and the manual input section 24 shown in Fig. 10 can be used.
Further, with the chromosomal location recognizable
array, a genetic map can be constructed through mapping of
genetic markers with unknown locations. Specifically, in order
to construct a genetic map, targets obtained from a Mendelian
segregation population of the species being analyzed are
hybridized with the chromosomal location recognizable array.
Then, genetic markers with unknown locations are hybridized
on the same chromosomal location recognizable array, so as to
determine locations of the genetic markers. In this way, a
highly dense genetic map can be constructed.
Even though the foregoing example uses the same
'E'i

chromosomaJ location recognizable array, the method of
mapping the genetic markers of unknown locations is not just
limited to this example. For example, mapping can be made by
processing the same targets with the genetic markers on
different arrays. Here, mapping of genes is possible if the genes
follow the rule of Mendelian segregation as in Single Feature
Polymorphism (SFP), even if SNP or RFLP is not detected.
Thus, a quantitative loci analyzing system according to
the present invention may be adapted so that, in order to
construct a genetic map in the genetic map constructing
section 32, the hybridization result is analyzed and processed
by reading it from the array with the scanner 21 and the image
information processing section 31, before analyzing genotypes.
To this end, the image information processing section 31 is
adapted to output information also to the genetic map
constructing section 32, as shown in Fig. 10 (as indicated by
arrow in the figure).
Information such as the genetic map constructed by the
genetic map constructing section 32, information concerning
the genetic markers identified by the genetic marker specifying
section 33, and the result of determination made by the
genotype origin detecting section 34 can be temporarily stored
in the memory 36. The memory 36 is provided in the analyzing
aection 30 as shown in Fig. 10, and serves us n HUirnf^p Bpction
for Mtoring various infoimution used or grnci ulcci in a
quantitative loci analyzing system according to the present
invention. The storage operation of the memory 36 is controlled
by the control section 35. The memory 36 is not limited to a
particular structure, and may be realized, for example, by a
semiconductor memory, such as RAM or ROM. Note that, the
storage medium reading and writing section 23 described as an
input section can be used as a storage section of the present
^•7

invention. This will be described later in more detail in
conjunction with the output section.
The analyzing section 30 of the structure shown in Fig. 10
includes the control section 35 for controlling the entire
operation of the analyzing section 30, and in turn the entire
operation of the quantitative loci analyzing system. In the
structure shown in Fig. 10, the control section 35 outputs
control information to the image information processing
section 31, the genetic map constructing section 32, the
genetic marker specifying section 33, the display information
generating section 34, and the memory 36. These means
operate based on the control information they receive, thereby
operating the quantitative loci analyzing system. It should be
noted here that the control section 35 is also adapted to
receive information from these means, and as such the flow of
control information is indicated by the bidirectional arrow in
Fig. 10.

In the present invention, a genomic sample of a hybrid
individual obtained from each different hybrid line is
hybridized with a nucleic acid array on which genetic markers
of a species of interest are immobilized. In this way,
comprehensive gene-presence-information of hybrid individuals
are obtained, and by using the gene-presence-information,
genetic markers are specified for each different hybrid line and
QTL analysis is performed. To this end, a quantitative loci
analyzing system according to the present invention includes
means, provided as an output section, for outputting a result
of QTL analysis.
The output section is not particularly limited, and at least
one of, or preferably both of a display 26 for displaying a result
of QTL analysis on a display screen (soft copy), and a printer
^-F

25 for printing a result of QTL analysis (hard copy) are
provided. The display 26 is not limited to a particular structure,
Hiul various types of known displays such HH ii CRT, ii llrniid
crystal display, and a plasma displtiy can be used. The prinU-f
25 is not limited to a particular structure, and known image
forming devices such as an ink-jet printer and laser printer
can be used.
The output section is not just limited to the display 26 or
printer 25, and other means can be used as well. For example,
the external communications section 22 can be used as an
output section. Specifically, the external communications
section 22 allows for input and output of information to and
from external devices by serving as both an input section and
an output section. This enables the result of QTL analysis to
be transmitted to other devices via external networks, etc,
enabling a quantitative loci analyzing system according to the
present invention to be used more efficiently.
Specifically, when the quantitative loci analyzing system is
connected to external devices via LAN for example, the
quantitative loci analyzing system, installed in a research
facility for example, can be shared with other researchers via
information terminals such as personal computers. Further,
the results of analysis obtained in the quantitative loci
analyzing system may be accumulated in an external server via
a communications network, allowing the analysis result to be
used more efficiently.
As the output section, the storage medium reading and
writing section 23, described as an input section, can be
suitably used. Specifically, in a quantitative loci analyzing
system according to the present invention, a drive for reading
information from a storage medium can be used as an output
section if the drive has a writing capability. The storage
?^

medium reading and writing section 23 is not limited to a
particular structure, and known disk drives such as a hard
disk drive, a flexible disk drive, a CD-ROM drive, and a
DVD-ROM drive, or various memory cards or memory
cartridges such as a USB memory can be suitably used for
example, as described above in conjunction with the input
section.
Note that, in the exemplary structure shown in Fig. 10,
the system is realized by the analyzing section 30 and
independently provided input and output sections, wherein the
analyzing section 30 includes the image information processing
section 31, the genetic map constructing section 32, the
genetic marker detecting section 33, the quantitative loci
{irtecting section 34, the control srction 35, nnd llir mrmory
v36. However, the present invention in nol ju»t limited to Lhiw
structure. For example, all means may be provided as a single
unit, or some of the input sections and/or output sections may
be integrated with the analyzing section 30. Further, the
system may include means other than those shown in Fig. 10.
The analyzing section 30 is not just limited to a particular
structure, and conventional arithmetic means, for example,
such as a central processing unit (CPU) of a computer may be
used. The operation of the analyzing section 30 is executed by
a computer program.
(Ill) Analyzing method by the quantitative loci analyzing
system
An analyzing method performed by a quantitative loci
analyzing system according to the present invention is not
particularly limited. Specifically, the method may include 12
steps as represented in Fig. 11.
First, in step 201 (step will be denoted by "S" hereinafter),
genetic map constructing information (names of chromosomes.
^0

genes, and genetic markers, and Joci, etc.) is entered through
input sections. In S202, the genetic map constructing section
32 constructs a genetic map based on the genetic map
constructing information, and the genetic map is supplied to
the genetic marker detecting section 33. In S203, the number
of hybrid lines is entered through the input section. In S204,
gene-presence-information (i.e., the result of DNA array
analysis) of the hybrid individuals (targets individuals in Fig.
11) being analyzed is entered through the scanner 21 and the
image information processing section 31 for each different
hybrid line. In S205, genetic marker information is entered.
In S206, based on the entered information, the genetic
marker detecting section 33 determines a genetic marker that
is present in each different hybrid line. Here, the result of
determination of a genetic marker may be stored in the
memory 36, or optionally displayed in the display 25. In S207,
the presence or absence of an entry error is found (need for
correction is determined). If there is an entry error (YES), the
information is re-entered in S208 through, for example, the
manual input section 24, and the sequence returns to S201.
On the other hand, if correction is not required (NO), the
sequence goes to S209.
In S209, a phenotypic value is entered through the input
section. In S210, interval mapping (QTL analysis) is performed
based on the result of determination of a genrlic marker and
the phrnolypic value, so as lo detertninr n t|uiintilntiv(' IOCUH of
the phenotype. In S211, based on the result of (^TL unulysis,
the locations and functions of the genes associated with the
quantitative traits are estimated. The result of analysis is
outputted from the output section in S212. This completes the
series of analysis procedures.
fIV) Use of the present invention
^
Use of a quantitative loci analyzing system according to
the present invention is not particularly limited as long as QTL
analysis is carried out on a species of interest. In one specific
example, a search for a useful gene is made through an
organism of interest, and such a useful gene is used for variety
improvement. That is, in the present invention, the
quantitative loci analyzing system can be suitably used in a
quantitative trait analyzing method in which quantitative traits
of organisms are analyzed, and in a gene search method in
which genes associated with expression of traits of interest are
searched.
A QTL analysis is an analyzing method by which a genetic
map distance between two loci is estimated based on
recombination value. The genetic map distance refers to an
expected value of a crossover between two loci that occurs in
each round of meiosis. In the QTL analysis, a recombination
value is estimated from the data of hybrid lines, and a genetic
map distance is estimated from the recombination value.
If it is assumed that crossing over occurs at equal
probability anywhere on the chromosomes, then the genetic
map distance is directly proportional to the physical distance.
From this relationship, the physical distance can be estimated
based on the genetic map distance. By thus finding the genetic
map distance between a genetic marker of a known physical
location and a gene associated with the expression of the trait
of interest, the chromosomal location of the gene can be
specified with fair accuracy.
It should be noted, however, that the recombination value
is equal to the genetic map distance only when the physical
distance between two loci on the chromosome is close. That is,
the recombination value does not indicate the genetic map
distance when the two loci are far apart from each other. The
'lil

number of crossovers that might have occurred between two
loci cannot be directly measured, and it is measurable only
through recombination values. Thus, a genetic map distance is
estimated from the recombination value, usin^ n Renetic map
funrlion.
A QTL analysis is generally performed in the following
manner. First, genetically different two hybrid lines are crossed
to produce hybrid generations Fl, F2 and subsequent
generations. Then, typing of multiple genetic markers is
performed for these individuals, and statistics are taken for the
resulting data.
As described thus far, the QTL analysis requires
estimation of a genetic map distance, or processing of typing
data of genetic markers, etc. The QTL analysis is therefore
suitable for technical areas involving bioinformatics. To this
date, no proposal has been made for applying QTL analysis to
these technical areas. As described above, in the present
invention, a genomic sample of hybrid individuals obtained
from each different hybrid line is hybridized with a nucleic acid
array on which genetic markers of the species of interest are
immobilized, using a quantitative loci analyzing system. With
the resulting comprehensive gene-presence-information of the
hybrid individuals, genetic markers are specified for each
different hybrid line and QTL analysis is carried out. In this
way, information can be analyzed comprehensively in the QTL
analysis, making it possible to efficiently perform the QTL
analysis.
Thus, a more specific application of the present invention
is use of the quantitative loci analyzing system in variety
improvement using genetic markers.
The type of organism to which a quantitative trait
analyzing method, gene search method, or variety improvement
^3

method of the present invention is applicable is not
particularly limited, and any of plants, animals, and
microorganisms may be used. Particularly, the present
invention is applicable in organisms that include chromosomes
and obey the lavys of MendeUan genetics. Examples of such an
organism are, but not limited to, those commercially available
and for which need for variety improvement is high.
In the case of plants, various crops (plant and farm
products produced in agriculture, forestry, and fishery
industries) can be used. Specific examples include: cereals
such as rice, wheat, barley, rye, triticale, and corn; marine
plants such as seaweed; various vegetables and flowers; and
trees such as cedar or cypress. In the case of animals, various
domestic animals can be used. Specific examples include:
domcMlic mammals such as bovinca, sherp, und piM"; domestic
birds such as chickens and quailti; fish HLICII UB yclluwUiil
snapper, sea bream, carp, and sweetfish; insects such as
honey bees, and silkworm; and shellfish such as oyster, ormer,
and scallop. As microorganisms, bacteria such as Escherichia
coli, yeasts, fungi, actinomycetes, and basidiomycetes can be
used.
Among these examples, the cereals include crops such as
rice, wheat, corn, and barley, which are cultivated worldwide
and are strategically important. Thus, by using the present
invention for the variety improvement of these plants, varieties
with desirable traits can be efficiently produced. The invention
is also applicable to experimental animals and plants. Specific
examples of experimental animals include mice, rats, D.
melanogaster, and C. elegans. A specific example is
Arabidopsis thaliana. Further, for the purpose of identifying
genotypes with the present invention, the invention can be
applied to humans.
tH

It should be appreciated that the present invention is not
just limited to the foregoing embodiments. The foregoing
examples are not intended to limit the invention to the
particular forms disclosed, but on the contrary, the invention
is to cover all modifications, equivalents, and alternatives
falling within the scope of the invention as defined in the
appended claims.
As described above, a quantitative loci analyzing system
according to the present invention utilizes a hybridization
analysis using a nucleic acid array for specifying genetic
markers present in each hybrid line, and performs QTL
analysis using the genetic markers so specified. In this way,
information can be analyzed comprehensively in the QTL
analysis, making it possible to efficiently perform QTL analysis.
[Sixth Embodiment]
Referring to Fig. 12 and Fig. 13, the following will describe
another embodiment of the present invention. It should be
appreciated that the invention is not limited by the following
description.
A gene interaction analyzing system according to the
present invention individually performs interval mapping (QTL
analysis) for specific genes or phenotypes based on the
hybridization result of genetic markers immobilized on a
nucleic acid array, and thereby estimates locations and
functions of genes involved. In this way, hereditary factors of
specific genes or phenotypes can be regulatrd, allowing for
effirienl unulysis of gene interaction,
A gene interaction analyzing system ficc^ording fo flic
present invention is not limited to a particular structure. For
example, a gene interaction analyzing system includes, as
shown in Fig. 12, an image information processing section
(image information processing means) 41, a genetic map
R-S-

constructing section (genetic map constructing means) 42, a
genetic marker specifying section (genetic marker specifying
means) 43, a spot marker information generating section (spot
marker information generating means) 44, an expression profile
information generating section (expression profile information
generating means) 45, a hereditary factor regulating section
(hereditary factor regulating means) 46, a control section
(control means) 47, a memory (storage means) 48, a scanner
(image reading means, input means) 21, an external
communications section (external information input and output
means) 22, a storage medium reading and writing section
(storage means, input means, output means) 23, a manual
input section (manual input means) 24, a printer (image
forming means, printing means, output means) 25, and a
display (image display means, output means) 25. The gene
interaction analyzing system having such a structure can be
roughly divided into an input section, an output section, and an
analyzing section (analyzing means) 40.
(I) Nucleic acid array
The invention prepares genomic samples from hybrid
individuals obtained from each different Mendelian segregation
population of a desired species of living organism, and
hybridizes the genomic samples with a nucleic acid array so as
to obtain comprehensive gene-presence-information of the
hybrid individuals. The comprehensive
gene-presence-information so obtained is used for the analysis
of gene interaction. The nucleic acid array used in the present
invention is not particularly limited, and conventional nucleic
acid arrays can be suitably used. Specific examples include a
micro array, a macro array, and a bead array. In the present
embodiment, DNA is used as the nucleic acid, and therefore
more specific examples of the nucleic acid array are DNA arrays
'^i

such as DNA micro array and DNA macro array.
As to the specifics of the DNA arrays, no further
description will be given since they are described in detail in the
foregoing Fourth and Fifth Embodiments. The chromosomal
location recognizable array is preferably used nlso in the
present emVjodiment.
The following describes a method of using tlie DNA array,
taking the DNA micro array as an example. First, the DNA micro
array is hybridized with fluorescent-labeled target DNA
(hereinafter, "targets"). Here, the target molecules containing
complementary sequences to the probes on the DNA micro array
bind to (hybridize with) their complementary probe molecules,
leaving other target molecules unbound. Then, these target
molecules not bound to the probes are washed and removed,
leaving only the hybridized target molecules on the micro array.
Since the target molecules are fluorescence-labeled, the
fluorescence of the targets is measured as signal intensity, so
as to identify hybridized probes.
In the present invention, comprehensive
gene-presence-information of hybrid individuals is obtained,
and therefore the presence of individual alleles can be
recognized by the presence or absence of hybridization.
Specifically, genomic DNA obtained from individuals are treated
with restriction enzymes for example, and the resulting
fragments are used as targets and hybridized with a DNA array
so as to check for the presence or absence of complementary
base sequences that hybridize with the probes on the DNA array.
The resulting information is obtained as comprehensive
gene-presence-information.
(11) Structure of gene interaction analyzing system

In the present invention, comprehensive
^7

gene-presence-information of hybrid individuals is compared
with a genetic map of the species to which the hybrid
individuals belong, and with the genetic marker information
known in the species, so as to specify genetic markers present
in each hybrid line and thereby generate spot marker
information (described later) based on the genetic markers so
specified. Then, phenotj'pes and genes of interest to be analyzed
are specified, and whether or not phenotypic values
representing the phenotypes are linked to the expressed genes
included in the expression profile information obtained from the
same hybrid individuals is confirmed. To this end, a gene
interaction analyzing system according to the present invention
includes, as an input section, means for entering at least one of
comprehensive gene-presence-information of hybrid individuals,
the genetic marker information, the phenotypic values, and the
expression profile information.
The means for entering llir t(nni>rrlipnHlve
gene-presence-information is not particularly limited. For
example, in the structure shown in Fig. 12, the analysis result
from the nucleic acid array is entered as image information
through the scanner 21. The image information processing
section 41 analyzes the image information and generates
gene-presence-information from the analysis result. In this
manner, the scanner 21 can be used as the means for entering
comprehensive gene-presence-information, for example.
The scanner 21 is not particularly limited as long as it can
serve as image reading means for reading the nucleic acid array
hybridization result as image information. Specifically, the
fluorescence of the targets that hybridized with the probes is
read out as image data from the nucleic acid array, and the
expression level of genes is detected from the signal intensity of
the image data. Thus, as the scanner 21, a conventional
1?

fluorescent scanner 21 can be suitably used, for example.
Here, the image information obtained from the scanner 21
is subjected to necessary information processing to generate
gene-presence-information. Thus, as shown in Fig. 12, the
present invention preferably includes the image information
processing section 41 for analyzing the image information, and
generating comprehensive gene-presence-information. The
image information processing section 41 is not limited to a
particular structure, and conventional analyzing systems can
be used.
The means for entering the genetic marker information
and phenotypic value is not particularly limited. In the
structure shown in Fig. 12, for example, the external
communications section 22, the storage medium reading and
writing section 23, and the manual input section 24
correspond to such means. The expression profile information
can be generated by reading the result of nucleic acid array
analysis, as will be described later. Alternatively, expression
profile information that has been obtained by performing
expression profile analysis beforehand may be entered as
appropriate. Thus, the external communications section 22
and the storage medium reading and writing section 23, etc.
can also be used as the means for entering the expression
profile information.
Further, the present invention uses a genetic map for
specifying genetic markers that exist in each hybrid line. To
this end, it is preferable that means be provided for entering
the griu'lic map or genetic map conHlrutliii^ iiifiH niMtinn, an
well us the foregoing information. As the means for entering
the genetic map or genetic map information, the external
communications section 22, the storage medium reading and
writing section 23, and the manual input section 24 can be
^^

suitably used, for example.
The external communications section 22 is not
particularly limited as long as it allows for input and output of
information to and from external devices, and conventional
communications interfaces such as a LAN card, a LAN board, a
LAN adapter, and a modem can be used. The storage medium
reading and writing section 23 is not limited to a particular
structure either. For example, known disk drives such as a
hard disk drive, a flexible disk drive, a CD-ROM drive, and a
DVD-ROM drive, or various memory cards or memory
cartridges such as USB memory can be used. The manual
input section 24 is not limited to a particular structure, and
conventional input means such as a keyboard or a tablet can
be suitably used.
An example of the genetic marker information is position
information immobilized on the nucleic acid array. Specifically,
hybridization detects spots if nucleic acid molecules having
complementary base sequences are present. Thus, once the
positions of immobilized spots on the nucleic acid array were
found to correspond to which genetic markers, the information
can be used as genetic marker information.
The phenotypic value is not particularly limited as long as
it represents a phenotype of interest. For example, the
inventors of the present invention have evaluated resistance to
Fusarium head blight with the scores of 0 (resistance) to 10
(diseased) by modifying a cut spike test (see Development of
Fusarium head blight testing method, and a search for resistant
varieties in barley, Japanese Journal of Variety Improvement,
39, 1989, Kazuyoshi Takeda, Hideo Heta). In this manner,
phenotypic values may be suitably selected depending on the
type of species to be analyzed, or the type of desired trait.
A relatively large number of genetic maps as chromosome
lOO

maps are available for experimental animals and some of the
crops and domestic animals. However, the selection of genetic
maps is often not sufficient for most crops and domestic
animals. Thus, the genetic map is directly entered if it is
available. If not, genetic map constructing information is
entered and a new genetic map is constructed in the genetic
map cnnstructing section A2 shown hi Fi^, 1^. Drlnils of ihr
genetic map constructing section 42 will be described later.
The expression profile information is not particularly
limited as long as it is obtained by comprehensively analyzing
gene expression in the cell. As noted earlier, information that
has been analyzed may be entered as the expression profile
information; however, it is more preferable that expression
profile analysis be performed as appropriate for the hybrid
individuals being analyzed. Thus, the means for entering
expression profile information can be used not only to enter
analyzed information but to generate expression profile
information by reading and analyzing the expression profile as
appropriate.
As the means for reading the expression profile, image
reading means such as the scanner 21 can be used. The
experiment system used for reading (experiment system for
performing an expression profile experiment) is not particularly
limited, and a nucleic acid array for obtaining comprehensive
gene-presence-information may be used. Other than the
nucleic acid array, other experiment systems can be used as
well. Examples of the nucleic acid array include a m.icro array,
a macro array, and a bead array, as described earlier. As an
experiment system for performing an expression profile
experiment, a differential display may be used, for example.
A differential display is a technique whereby a difference
in gene expression level in the cells placed under different
01

conditions is detected on a gel as a difference between band
profiles, and the genes are collected and identified. Specifically,
in the case of a fluorescent differential display for example, a
PCR product of fluorescent-labeled cDNA is obtained from total
RNA, and a fluorescent image is measured as signal intensity
after separating the PCR product on a denatured
polyacrylamide gel.
The differential display is not a method for
comprehensively analyzing total mRNA. However, since the
differential display allows a large number of samples to be
compared using a small amount of mRNA, it can be used to
perform the expression profile experiment as with the nucleic
acid array. Thus, as the input section, image reading means
for detecting signal intensity from a gel plate of the
electrophorased polyacrylamide gel is provided.
A gene interaction analyzing system according to the
present invention preferably includes meons for correcting at
least one of the comprehensive griic-prr»riH'r iiilfMriiHlidii ol'
hybrid individuals, genetic marker information, and genetic
map constructing information. Specifically, the manual input
section 24 in the structure shown in Fig. 12 corresponds to
such means.
As will be described later, a gene interaction analyzing
system according to the present invention performs the step of
checking for the presence or absence of an entry error in the
analysis process, particularly in specifying genetic markers.
This improves reliability of final interval mapping performed in
a subsequent stage. It is therefore preferable that the system
include means for correcting entry error, i.e., the manual input
section 24, for example. Note that, the means for correcting
entry error is not just limited to the manual input section 24,
and other means may be used as well.
lOil.


In the present invention, genetic markers are specified
and spot marker information (described later) is generated
from the genetic markers. Then, it is confirmed whether
expressed genes in the expression profile information are
linked to the spot marker information, so as to regulate
hereditary factors of the phenotype of interest. To this end, a
gene interaction analyzing system according to the present
invention includes, as an essential component, the analyzing
section 40 for analyzing the information entered through the
input section. The analyzing section 40 includes at least the
genetic marker specifying section 43, the spot marker
information generating section 44, and the hereditary factor
regulating section 46, as shown in Fig. 12.
In the genetic marker specifying section 43, the
gene-presence-information generated in the image information
processing section 41 through the scanner 21 is compared
with the genetic map and genetic marker information, so as to
specify genetic markers for each different hybrid line.
Specifically, from the result of comparison between a genetic
map and position information of the genetic markers
immobilized on the nucleic acid array, whether or not a hybrid
individual of interest includes the genetic markers is
determined. If the genetic markers are included, the genetic
markers are specified as the genetic markers of the hybrid line
to which the hybrid individuals belong.
In obtaining the presence information of genes of the
hybrid individuals, the use of the chromosomal location
recoKnizable array as a nucleic firriiy IIIIOWH tlir order of
immobilized spots to be used as the genetic marker
information. In other words, the order of immobilized spots
and the map distance of chromosomes, etc. can be used as
f03

genetic marker information. This is highly preferable as it
makes it easier for the genetic marker specifying section 43 to
perform the comparison. Further, as described above, the
genetic marker information should preferably be polymorphic
genetic markers (SNP or RFLP), since it is easily recognizable
as typical genetic markers of each different hybrid line.
In the spot marker information generating section 44, the
genetic markers specified by the genetic marker specifying
section 43 are compared with the genetic markers im.mobilized
on the nucleic acid array, and the result of hybridization of
individual spots on the nucleic acid array is generated as spot
marker information and used as genetic marker information for
analysis. More specifically, the specified genetic markers are
compared with the genetic markers on the nucleic acid array,
and only the genetic marker spots so found by the
hybridization are generated as spot marker information. This
enables the hybridized spots on the nucleic acid array to be
used as the genetic markers that exist in each hybrid line.
The chromosomal location recognizable array may be used
as the nucleic acid array. In this case, the order of immobilized
spots can be used as the genetic marker information.
Specifically, in generating the spot marker information, certain
immobilized genetic markers are obtained by reversing the
order of immobilized spots, and the genetic markers so
obtained are compared with the genetic markers previously
specified. It is therefore preferable that the spot marker
information include position information indicative of the
positions of genetic markers immobilized on the nucleic acid
array. In this way, when the expression profile information was
obtained using the chromosomal location recognizable array,
the position information can actually be used as spot marker
information, and genetic markers can be readily specified.
\ok

In the hereditary factor regulating section 45, phenotypes
and genes of interest to be analyzed are specified, and whether
or not phenotypic values representing the phenotypes, and the
expressed genes of interest included in the expression profile
information obtained from the same hybrid individual are
linked to plural pieces of spot marker information is confirmed.
In this manner, the hereditary factors of the phenotypes of
interest are regulated baaed on tlic cxprrHHcd M^'if*"' '1'IIUH,
based on the specified phenotypes and genes anHociuted with
the expression of the phenotypes, genes that are closely
associated with the expression of the phenotype can be
selected from the spot marker information, based on the
presence or absence of a linkage.
Specifically, for a gene pi known to be associated with a
phenotype (trait) P, the gene pi and a phenotypic value Vp
representing the phenotype P are specified, and the presence
or absence of any linkage between the spot marker information
and phenotypic value Vp, and gene pi is confirmed. For
example, genetic markers mp2 and mp3 are found as genetic
marker information linked to the phenotypic value Vp and gene
pi. Here, if these genetic markers mp2 and mp3 are for genes
p2 and p3, then the genes p2 and p3 are specified as genes
interacting with the phenotype P and gene pi. Note that, the
genetic markers can determine hereditary factors even when
there is no linkage to known genes. Thus, as the information
for regulating hereditary factors of the phenotypes, the
hereditary factor regulating section 46 uses at least genetic
markers, and preferably uses known genes.
When no spot marker is found to be directly linked, a
quantitative trait locus (QTL) is estimated between the most
proximate genetic markers, and the hereditary factors may be
regulated based on the QTL. Thus, provided that genetic
(0^

markers to be used as spot marker information are present
with such a density that linkage is detectable on the genetic
map, hereditary factors can be regulated based on QTL even
when genetic markers that are linked at high resolution cannot
be specified.
By thus finding genetic markers (or genes, QTL) linked to
the phenotypes, the hereditary factor regulating section 46,
based on such genetic markers, can estimate locations or
functions of genes associated with the expression of the
phenotypes. Further, as the information for regulating
hereditary factors of the phenotypes, the hereditary factor
regulating section 46 can use the expression level of genes
associated with the genetic markers.
Whether the plural pieces of spot marker information is
linked to the specified phenotypic values or genes can be found
through analysis employing Interval mapping. The interval
mapping is not particularly limited, and simple interval
mapping (SIM), or composite interval mapping (CIM) may be
used, for example. For a sprcific aniilyHiH uf inlnvnl ninppltig,
a known analyzing system may be used. Specific- examples of
such analyzing system include those using analyzing software
such as MAPMARKER/QTL or QTL Cartographer.
A gene interaction analyzing system according to the
present invention may include the expression profile
information generating section 45 in addition to the genetic
marker specifying section 43, the spot marker information
generating section 44, and the hereditary factor regulating
section 46. As described earlier, the expression profile
information generating section 45 is adapted to generate
expression profile information of a hybrid individual by
performing expression profile analysis with regard to a
comprehensive gene-expression level obtained from the same
(OG

hybrid individual. Here, the expression profile information is
generated through comprehensive measurement of gene
expression using at least one of experiment systems using a
micro array, a macro array, a bead array, and a differential
display, as described above.
The expression profile information generating section 45
can also generate expression profile information using the
nucleic acid array used for obtaining comprehensive
gene-presence-information of hybrid individuals, or the nucleic
acid array on which the same sample has been spotted.
Namely, in the structure shown in Fig. 12, the scanner 21 first
reads the result of expression profile experiment, and then the
expression profile information generating section 45 generates
expression profile information after images have been
processed in the image processing section 11.
Here, the analysis can be carried out more efficiently
when analysis data for specifying genetic markers (and for
constructing a genetic map) and analysis data for the
expression profile are acquired simultaneously. For example,
when four or more kinds of labeling is possible in the
hybridization experiment using the nucleic acid array, two
kind of labeling may be set for specifying genetic markers, and
two kinds for gene expression. In this way, analysis data for
specifying genetic markers (and for constructing a genetic map)
and analysis data for the expression profile can be acquired
simultaneously from a single nucleic acid array.
Note that, in the structure shown in Fig. 12, the
expression profile information generating section 45 and the
image information processing section 41 may be provided in
ont^ unjl. That is, the expression profiir infoniiMlion mtiy l>e
genrrafrcl by the image iniui'mation processing Hccliun 41.
A gene interaction analyzing system according to the
lO"^

present invention may include the genetic map constructing
section 42 in addition to the genetic marker specifying section
43, the spot marker information generating section 44, the
expression profile information generating section 45, and the
hereditary factor regulating section 46. Based on genetic map
constructing information, the genetic map constructing section
42 constructs a genetic map of a species to which the hybrid
individual belongs. As described earlier, the genetic map is
constructed for only some of the species. It is therefore
preferable to provide the genetic map constructing section 42.
The genetic map constructing section 42 is not
particularly limited as long as the genetic map is constructed
on the chromosome basis based on various genetic map
constructing information. As the genetic map constructing
information, at least names of genes and/or genetic markers
known in the species being analyzed, and chromosomal loci of
the genes and/or genetic markers are used, for example.
The means for entering the genetic map constructing
information is not particularly limited, and various input
sections, for example, such as the external communications
section 22, the storage medium reading and writing section 23,
and the manual input section 24 shown in Fig. 12 can be used.
Further, with the chromosomal location recognizable
array, a genetic map can be constructed through mapping of
genetic markers with unknown locations. Specifically, in order
to construct a genetic map, targets obtained from a Mendelian
segregation population of the species being analyzed are
hybridized with the chromosomal location recognizable array.
Then, genetic markers with unknown locations are hybridized
on the same chromosomal location recognizable array, so as to
determine locations of the genetic markers. In this way. a high
density genetic map can be constructed.
0?

Even though the foregoing example uses the same
chromosomal location recognizable array, the method of
mapping the genetic markers of unknown location is not just
limited to this example. For example, mapping can be made by
processing the same targets with the genetic markers on
different arrays. Here, mapping of genes is possible if the genes
follow the rule of Mendelian segregation as in Single Feature
Polymorphism (SFP), even if SNP or RFLP is not detected.
Thus, a gene interaction analyzing HyHleni ticcdrrlinn to
the present invention may be adapted ao Lhut, in order lo
construct the genetic map in the genetic map constructing
section 42, the hybridization result is analyzed and processed
by reading it from the array with the scanner 21 and the image
information processing section 41, before specifying genetic
markers. To this end, the image information processing section
41 is adapted to output information also to the genetic map
constructing section 42, as shown in Fig. 12 (as indicated by
arrow in the figure).
Information such as the genetic map constructed by the
genetic map constructing section 42, information concerning
the genetic markers specified by the genetic marker specifying
section 43, the result of determination made by the genotype
origin detecting section 44, the expression profile information
generated by the expression profile information generating
section 45, or hereditary factor information generated by the
hereditary factor regulating section 46 can be temporarily
stored in the memory 48. The memory 48 is provided in the
analyzing section 40 as shown in Fig. 12, and serves as a
storage section for storing various information used or
generated in a gene interaction analyzing system according to
the present invention. The storage operation of the memory 48
is controlled by the control section 47. The memory 48 is not
(0^

limited to a particular structure, and may be realized, for
example, by a semiconductor memory, such as RAM or ROM.
Note that, the storage medium reading and writing section 23
described as an input section can be used as a storage section
of the present invention. This will be described later in more
detail in conjunction with the output section.
The analyzing section 40 of the structure shown in Fig. 12
includes the control section 47 for controlling the entire
operation of the analyzing section 40, and in turn the entire
operation of the gene interaction analyzing system. In the
structure shown in Fig. 12, the control section 47 outputs
control information to the image information processing
section 41, the genetic map constructing section 42, the
genetic marker specifying section 43, the spot marker
information generating section 44, the expression profile
information generating section 45, the hereditary factor
regulating section 45, and the memory 48. These means
operate based on the control information they receive, thereby
operating the gene interaction analyzing syslem. It should be
noted here that the control section A7 is IIIMO iidnplcd to
rfcv'ivt information from these means, and as Much the How iiI
control information is indicate by the bidirectional arrow in Fig.
12.

In the present invention, hereditary factors of the
phenotype of interest are regulated by finding whether the spot
marker information is linked to the expressed genes included
in the expression profile information. To this end, a gene
interaction analyzing system according to the present
invention includes means, provided as an output section, for
outputting a regulation result of hereditary factors.
The output section is not particularly limited, and at least

one of, or preferably both of a display 26 for displaying a
regulation result of hereditary factors on a display screen (soft
copy), and a printer 25 for printing a regulation result of
hereditary factors (hard copy} are provided. The display 26 is
not limited to a particular structure, and various types of
known displays such as a CRT, a liquid crystal display, and a
plasma display can be used. The printer 25 is not limited to a
particular structure, and known image forming devices such as
an ink-jet printer and a laser printer can be used.
The output section is not just limited to the display 26 or
printer 25, and other means can be used as well. For example,
the external communications section 22 can be used as an
output section. Specifically, the external communications
section 22 allows for input and output of information to and
from external devices by serving as both an input section and
an output section. This enables the result of QTL analysis to
be transmitted to other devices via external networks, etc,
enabling a gene interaction analyzing system according to the
present invention to be used more efficiently.
Specifically, when the gene interaction analyzing system is
connected to external devices via LAN for example, the gene
interaction analyzing system, installed in a research facility for
example, can be shared with other researchers via information
terminals such as personal computers. Further, the results of
analysis obtained in the gene interaction analyzing system may
be accumulated in an external server via a communications
network, allowing the analysis result to be used more
efficiently.
As the output section, the storage medium reading and
writing section 23, described as an input section, can be
suitably used. Specifically, in a gene inlrrniiion analyzing
Hyslcm ac(^ording to the present iiivrnlion, ii diivp lor rpiidlii^
in

information from a storage medium can be used as an output
section if the drive has a writing capability. The storage
medium reading and writing section 23 is not limited to a
particular structure, and known disk drives such as a hard
disk drive, a flexible disk drive, a CD-ROM drive, and a
DVD-ROM drive, or various memory cards or memory
cartridges such as a USB memory can be suitably used for
example, as described above in conjunction with the input
section.
Note that, in the exemplary structure shown in Fig. 12,
the system is realized by the analyzing section 40 and
independently provided input and output sections, wherein the
analyzing section 40 includes the image information processing
section 41, the genetic map constructing section 42, the
genetic marker specifying section 43, the spot marker
information generating section 44, the expression profile
information generating section 45, the hereditary factor
regulating section 46, the control section 47, and the memory
48. However, the present invention is not just limited to this
structure. For example, all means may be provided as a single
unit, or some of the input sections and/or output sections may
be integrated with the analyzing section 40. Further, the
system may include means other than those shown in Fig. 12.
The analyzing section 40 is not just limited to a particular
structure, and conventional arithmetic means, for example,
such as a central processing unit (CPU) of a computer may be
used. The operation of the analyzing section 40 is executed by
a computer program.
iUl) Analyzing method by the gene interaction analyzing
system
An analyzing method performed by a gene interaction
analyzing system according to the present invention is not
n5/

particularly limited. Specifically, the method may include 16
steps as represented in Fig. 13.
First, in step 301 (step will be denoted by "S" hereinafter),
genetic map constructing information {names of chromosomes,
genes, and genetic markers, and loci, etc.) is entered through
input sections. In S302, the genetic map constructing section
42 constructs a genetic map based on the genetic map
constructing information, and the genetic map is supplied to
the genetic marker specifying section 43. In S303, the number
of hybrid lines is entered through the inpul srction. In R304,
genc-preHence-information (i.e., the reuutl (iV UNA tinny
analysis) of the hybrid individuals (targets individuals in Fig.
13) being analyzed is entered through the scanner 21 and the
image information processing section 41 for each different
hybrid line. In S305, genetic marker information is entered.
In S306, based on the entered gene-presence-information,
genetic map, and genetic marker information, the genetic
marker detecting section 43 determines a genetic marker that
is present in each different hybrid line. Here, the result of
determination of a genetic marker may be stored in the
memory 48, or optionally displayed in the display 26. In S307,
the genetic marker specified in S306 is compared with genetic
markers immobilized on the DNA array, and spot marker
information is generated from the individual spots of the DNA
array. The spot marker information may be stored in the
memory 48, or optionally displayed in the display 26. In S308,
the presence or absence of an entry error is found (need for
correction is determined). If there is an entry error (YES), the
information is re-entered in S309 through, for example, the
manual input section 24, and the sequence returns to S301.
On the other hand, if correction is not required (NO), the
sequence goes to S310.
(15

In S310, a phenotypic value is entered through the input
section. In S311, expression profile information of the hybrid
individual being analyzed is entered through the input section.
In S312, based on the expression profile information entered in
S311, the expression profile information generating section 45
identifies genes with different expression levels. The identified
genes may be stored in the memory 48, or optionally displayed
in the display 26. In S313, a phenotype and gene of interest to
be analyzed is entered through the input section.
In S314, interval mapping (QTL analysis) is performed
based on the phenotypic value entered in S310 and the
expressed genes identified in S312, so as to determine whether
the plural pieces of spot marker information is linked to the
phenotypic value and the expressed genes. In S315, based on
the result of QTL analysis, associated genes and/or genetic
markers are estimated, and the hereditary factors of the
specified phenotype and gene are regulated based on the result
of estimation. The regulation result of hereditary factor may be
stored in the memory 48, or optionally displayed in the display
26. In S316, whether or not correction is required for the genes,
flc beins analyzed is determined hiiscd oii the rrHiilt of
aiiulysis. If correction is required (YES), llie stMiLieiit^e returns
lo S313. If correction is not required (NO), the sec]Lience goes to
S317. The result of analysis is outputted from the output
section in S317. This completes the series of analysis
procedures,
(IV) Use of the present invention
Use of a gene interaction analyzing system according to
the present invention is not particularly limited as long as
interaction of more than one gene associated with a desired
phenot3'pe (trait) is analyzed in the species of interest.
As described earlier, a technique of expression profile
Vk

analysis is known in which a group of genes are analyzed in
clusters, or a network of gene expression is analyzed. These
techniques are useful for the non-exclusive or comprehensive
analysis of gene expression. However, since the techniques are
for extracting closely associated genes with no other given
information, they cannot be used for extracting hereditary
factors closely associated with previously specified traits or
genes to be analyzed. However, with a gene interaction
analyzing system according to the present invention, a trait or
gene of interest can be specified before actually analyzing gene
interaction. That is, gene interaction can be analyzed
differently from the expression profile analysis.
Thus, a gene interaction analyzing system according to
the present invention is applicable not only to a gene
interaction analyzing method but also to a gene search method,
in which a search is made for genes associated with previously
specified traits or genes to be analyzed.
In the expression profile analysis performed by the
technique disclosed in Patent Document 6 as described in the
BACKGROUND ART section, genes closely associated with a
target evaluation index are extracted to estimate evaluation
index data. The technique may appear to be similar to the
present invention in the sense that the analysis is based on
previously entered evaluation index data of interest. However,
since the technique is for analyzing expression profiles based
on the results obtained from a DNA array, it does not use the
DNA array spots as genetic markers (spot marker information),
nor does it perform a QTL analysis using such genetic
markers.
The present invention does not analyze expression profiles,
i.e., comprehensive analysis of gene expression is not
performed. Rather, the analysis focuses on inlrrnctlon between
^

genrs. In this way, a relationship betWf-rn grncs of interest c.iin
be established more clearly as compared with the
comprehensive analysis. Therefore, the present invention can
be suitably used for purposes requiring detailed analysis of
genes which have already been analyzed by the comprehensive
analysis.
Generally, in the cluster technique, a group of genes with
different expression levels for a particular trait are detected in
clusters. In order to find any relationship between these genes,
each gene is annotated or a known pathway is analyzed, or, by
an experimental biological approach, labeled genes are directly
introduced into an organism. On the other hand, the present
invention employs a genetic approach, whereby an analysis
using a nucleic acid array is applied to a Mendelian
segregation population, and interaction between individual
genes contained in the cluster is identified in an exploratory
manner. That is, interaction can be identified even for genes of
unknown functions, and therefore any genetic association of a
group of genes with a particular trait can be estimated. Since
these genes are mapped, every gene can be introduced by
variety improvement. Further, by the QTL analysis, the
influence of the introduced genes on a trait can be statistically
analyzed.
Specific use of the present invention is not particularly
limited. For example, the gene interaction analyzing system
can be used in a variety improvement method using genetic
markers. As an example, traits or genes of interest may be
specified for variety improvement, and genes or genetic
markers closely associated with these traits or genes may be
regulated. In this way, variety improvement can be performed
more efficiently.
The type of organism to which an array of the present

invention is appHcable is not particularly limited, and any of
plants, animals, and microorganisms may be used. Particularly,
an array of the present invention can be used in the foregoing
screening method in organisms that include chromosomes and
obey the laws of Mendelian genetics. Examples of such an
organism are, but not limited to, those commercially available
and for which need for variety improvement is high.
In the case of plants, various crops (plant and farm
products produced in agriculture, forestry, and fishery
industries] can be used. Specific examples include; cereals
sxich as rice, wheat, barley, rye, triticale, and corn; marine
plunta siicli as seaweed; vuricius vr^rtaljlrH uiid flowrrM; nnd
trees such as cedar or cypress. In the case of animals, various
domestic animals can be used. Specific examples include:
domestic mammals such as bovines, sheep, and pigs; domestic
birds such as chickens and quails; fish such as yellowtail
snapper, sea bream, carp, and sweetfish; insects such as
honey bees, and silkworm; and shellfish such as oyster, ormer,
and scallop. As microorganisms, bacteria such as Escherichia
coli, yeasts, fungi, actinomycetes, and basidiomycetes can be
used.
Among these examples, the cereals include crops such as
rice, wheat, corn, and barley, which are cultivated worldwide
and are strategically important. Thus, by using the present
invention for the variety improvement of these plants, varieties
with desirable traits can be efficiently produced.
The present invention can also be used for experimental
animals and plants. Specific examples of experimental animals
include mice, rats, D. raelanogaster, and C. elegans. A specific
example is Arabidopsis thaliana. Further, for the purpose of
identifying genotypes with the present invention, the invention
can be applied to humans.
in

As described above, in a gene interaction analyzing system
according to the present invention, data of genetic markers for
mapping is obtained together with gene expression data. With
these data combined with phenotype data, the expression
levels of respective genes are taken as target variables and are
individually analyzed by a QTL analysis. That is, genes
associated with traits or genes of interest are estimated after
specifying traits or genes to be analyzed. It is therefore possible
to efficiently estimate genes closely associated with traits or
genes to be analyzed. Further, by interval mapping, hereditary-
factors can be estimated as quantitative trait loci (QTL) that
exist between genetic markers, even when the genetic markers
themselves are not sufficient to regulate the hereditary factors.
In sum, gene interaction can be efficiently analyzed under
specific conditions, allowing for detailed analysis of gene
interaction with the linkage information or QTL information,
for example.
The invention being thus described, it will be obvious that
the same may be varied in many ways. Such variations are not
to be regarded as a departure from the spirit and scope of the
invention, and all such modifications as would be obvious to
one skilled in the art are intendecf to he iruindrfl within the
Ht'ope of the following claims.
INDUSTRIAL APPLICABILITY
As described above, in the present invention, the
biosubstances or synthetic substances immobilized on an array
are arranged based on the chromosomal order of genes
corresponding to the biosubstances. The invention therefore has
practical applications such as identification of a genotype, gene
diagnosis, screening in variety improvement, or the like. Further,
the invention improves reliability of an array analysis. Thus, the

invention can be suitably used in the production of research
reagents or samples using various types of arrays, or industries
related to analytical techniques. Other applicable areas of the
invention include crop production, animal production, and
fisheries, in which identification of a genotype or variety
improvement of organisms that follow the laws of Mendelian
genetics is performed. The invention also has medical or
pharmaceutical applications, such as gene diagnosis.
With the present invention, the genotype of each
individual of a hybrid generation can be accurately determined
or confirmed only by acquiring a genome of each individual of
the hybrid generation and obtaining a hybridization result of a
nucleic acid array. Thus, the invention can be suitably used in
the production of research reagents or samples using various
types of arrays, or industries related to analytical techniques.
Other appHcable areas of the invention include crop production,
animal production, and fisheries, in which identification of a
genotype or variety improvement of organisms that follow the
laws of Mendelian genetics is performed. The invention also has
medical or pharmaceutical applications, such as gene diagnosis.
Further, with the present invention, a QTL analysis can be
efficiently performed with the array technique. Thus, the
invention can be suitably used in the production of research
reagents or samples using various types of arrays, or industries
related to analytical techniques. Other applicable areas of the
invention include crop production, animal production, and
fisheries, in which identification of a genotype or variety
improvement of organisms that follow the laws of Mendelian
genetics is performed. The invention also has medical or
pharmaceutical applications, such as gene diagnosis.
Further, with the present invention, gene interaction
can be analyzed both efficiently and thoroughly under specific
.\^


animal production, and fisheries, in which identification of a
genotype or variety improvement of organisms that follow the
laws of Mendelian genetics is performed. The invention also
has medical or pharmaceutical applications, such as gene
diagnosis.
\^10


WE CLAIM:
1. An array in which different kinds of biosubstances obtained from an
organism of interest, or synthetic substances interacting with such biosubstances
are arranged and immobilized on a support in an orderly manner.
the different kinds of biosubstances or the synthetic substances being
arranged such that a chromosomal order of base sequence blocks corresponding
to the biosubstances is ascertainable,
said biosubstances being nucleic acids or polypeptides, wherein the
nucleic acids comprise DNA, and the polypeptides comprise proteins, fragments
thereof, or oligopeptides,
said DNA or said proteins being arranged on the support based on a
genetic map or physical map.
2. The array as claimed in claim I, wherein at least part of the different
kinds of biosubstances or the synthetic substances are arranged in the
chromosomal order of the base sequence blocks corresponding to the
biosubstances.
3. The array as claimed in claim 1 or 2. wherein the support includes a
label that indicates the chromosomal order of the base sequence blocks
corresponding to the biosubstances,
4. 'The array as claimed in claim 1, wherein the biosubstances or the
synthetic substances immobilized on the support each include sequence position
information corresponding to the chromosomal order of the base sequence blocks
corresponding to the biosubstances, and
wherein, in use, data is acquired and the sequence position information is
read out. so as to rearrange sequences of the data in the chromosomal order.
5. An array as set forth in claim 1.


wherein the support comprises a collection of micro supports on which the
biosubstances or the synthetic substances are individually immobilized,
wherein the micro supports each include sequence position information
corresponding to the chromosomal order of the base sequence blocks
corresponding to the biosubstances, and
wherein sequences of acquired data are rearranged in the chromosomal
order based on the sequence position information.
6. The array as claimed in claim 1, wherein the DNA comprises a genetic
marker, genomic DNA, genomic DNA treated with a restriction enzyme, cDNA,
EST. or synthetic oligoDNA,
7. The array as claimed in claim 1 or 6, wherein genomic DNA treated
with a restriction enzyme is used as target DNA.
8. The array as claimed in claim 7. wherein the target DNA is fractionated
by size after the treatment with a restriction enzyme.
9. The array as claimed in claim I, wherein the proteins comprise
enzymes, kinase, antibodies, receptors, or proteins with SH3 region.
10. The array as claimed in any one of claims 1 through 9, wherein the
support or micro support comprises an inorganic substrate, an organic film, or a
bead.
11. The array as claimed in any one of claims 1 through 10, which
comprises any one of a micro array, a macro array, a bead array, and a protein
chip.
12. A producing process of an array, comprising the step of orderly
arranging and immobilizing on a support different kinds of biosubstances
122

obtained from an organism of interest, or synthetic substances interacting with
such biosubslances.
said step comprising arranging and immobilizing the biosubstances or the
synthetic substances according to the order in which genes corresponding to the
biosubstances are coded for on a chromosome of the organism.
13. The producing process as claimed in claim 12, wherein the
biosubstances comprise nucleic acids or polypeptides.
14. A genotype identification method, comprising identifying a target
trait^including chromosome fragment, using the array of claim 1, from hybrids
obtained by crossing organisms.
15. An identification method as claimed in claim 14, wherein the
organisms comprise laboratory animals and plants.
16. A gene diagnosis method for identifying human genotypes, using the
identification method of claim 15.
17. A screening method for screening for a target trait-carrying variety
from hybrids obtained by crossing organisms whose characteristics are to be
improved, using the array of claim 1.
18. The screening method as claimed in claim 17, wherein the living
organisms crossed for variety improvement comprise laboratory animals and
plants, domestic animals, or crops.
19. The screening method as claimed in claim 18, wherein the crops
comprise cereals.


20. The screening method as claimed in claim 19. wherein the cereals
comprise rice, wheat, corn, or barley.
2!. A genotype analyzing and display system, comprising:
genotype origin detecting means for comparing (a) gene expression level
information and polymorphism information comprehensively obtained through a
hybridization analysis of hybrid individuals with the array of claim 1 with (b)
genetic information of parents of the hybrid individuals, and a genetic map of a
species to which the hybrid individuals belong, so as to determine whether a
genotype of a hybrid individual of interest derives from which parent; and
display information generating means for gathering a plurality of results
obtained from the genotype origin detecting means and, based on the results,
generating display information used to display a plurality of genotypes
altogether on a chromosome basis, so as to determine whether individual
genotypes derives from which parent.
22. A quantitative loci analyzing system which uses the array of claim 1,
and in which a genetic marker of a species of interest is immobilized on the
array,
said quantitative loci analyzing system comprising;
genetic marker specifying means for comparing (a) comprehensive
presence information of genes of hybrid individuals, obtained by hybridizing the
array with a genomic sample obtained from the hybrid individuals of a certain
hybrid line with (b) a genetic map of a species to which the hybrid individuals
belong, and genetic marker information known in the species, so as to specify a
genetic marker that exists in the hybrid line; and
quantitative loci detecting means for detecting a quantitative locus of a
phenotype of interest of the hybrid individual, by confirming whether a
phenotypic value indicative of the phenotype is linked to the genetic marker.


23. A gene interaction analyzing system which uses the array of claim 1.
and in which a genetic marker of a species of interest is immobilized on the
array,
said gene interaction analyzing system comprising:
genetic marker specifying means for comparing (a) comprehensive
presence information of genes of hybrid individuals, obtained by hybridizing the
array with a genomic sample obtained from the hybrid individuals of a certain
hybrid line (b) with a genetic map of species to which the hybrid individuals
belong, and genetic marker information known in the species, so as to specify a
genetic marker that exists in the hybrid line;
spot marker inforn)ation generating means for comparing the specified
genetic marker with the genetic marker immobilized on the support, so as to
generate spot marker information, being genetic marker information for use in
analysis, from hybridization results obtained from individual spots on the array;
and
hereditary factor specifying means for specifying, with regard to an
arbitrarily selected phenotype and gene to be analyzed, a hereditary factor of the
selected phenotype by determining whether the phenotypic value indicative of
the phenotype, and an expressed gene included in expression profile information
obtained from the hybrid individual are linked to a plurality of spot marker
information.
24, A genotype analyzing and display system which uses the nucleic acid
array of claim 1, comprising:
genotype origin detecting means for comparing (a) gene expression level
information and polymorphism information comprehensively obtained through a
hybridization analysis of hybrid individuals using a nucleic acid array with (b)
genetic information of parents of the hybrid individuals, and a genetic map ot
species to which the hybrid individuals belong, so as to determine whether a
genotype of a hybrid individual of interest derives from which parent; and
125

display information generating means for gathering a plurality of results
obtained from the genotype origin detecting means and, based on the results,
generating display information used to display a plurality of genotypes
altogether on a chromosome basis, so as to determine whether individual
genotypes derives from which parent.
25. The genotype analyzing and display system as claimed in claim 24,
further comprising genetic map constructing means for constructing, based on
genetic map constructing information, a genetic map of a species to which the
hybrid individuals belong.
26. The genotype analyzing and display system as claimed in claim 25,
wherein the genetic map constructing information comprises names of genes
and/or genetic markers known in the species, and chromosomal loci of the genes
and/or genetic markers.
27. The genotype analyzing and display system as claimed in any one of
claims 24 through 26, wherein the genotype origin detecting means determines a
genotype as being homozygous for one of the parents, heterozygous, or
unrecognizable to yield a result.
28. The genotype analyzing and display system as claimed in any one of
claims 24 through 26, wherein the genotype origin detecting means uses
genotype information and/or gene expression profile information of parents as
genetic information of parents.
29. The genotype analyzing and display system as claimed in any one of
claims 24 through 28, wherein the display information generating means
generates display information including at least one of recombination number
and recombination frequency of individual chromosomes.


30. The genotype analyzing and display system as claimed in any one of
claims 24 through 29, wherein the display information generating means
generates display information such that an origin of a genotype is identifiable
based on different display colors or patterns.
3 1. The genotype analyzing and display system as claimed in any one of
claims 24 through 30, comprising at least one of input means and output means.
32. The genotype analyzing and display system as claimed in claim 31,
wherein the input means receives at least one of comprehensive expression level
information of genes of the hybrid individuals, and genetic information of
parents.
33. The genotype analyzing and display system as claimed in claim 32,
wherein the input means receives genetic map constructing information.
34. The genotype analyzing and display system as claimed in any one of
claims 31 through 33, comprising:
image reading means, provided as the input means, for enabling a
hybridization result of the nucleic acid array to be read out as image information;
and
image information processing means for analyzing an expression level of
gene based on the image information and generating comprehensive expression
level information of gene.
35. The genotype analyzing and display system as claimed in any one of
claims 31 through 34, comprising manual input means, provided as the input
means, for modifying at least one of: the comprehensive expression level
information of gene of the hybrid individuals; the genetic information of parents;
and the genetic map constructing information.
127

36. The genotype analyzing and display system as claimed in any one of
claims 31 through 35, wherein the output means comprises at least one of: image
display means for displaying the display information on a screen; and printing
means for printing the display information.
37. The genotype analyzing and display system as claimed in any one of
claims 31 through 35, wherein the input means and the output means comprise
external information input-output means for sending and receiving information
to and from an external device.
38. The genotype analyzing and display system as claimed in any one of
claims 24 through 37, wherein the nucleic acid array comprises a DNA array on
which DNA is immobilized.
39. The genotype analyzing and display system as claimed in claim 38,
wherein the DNA immobilized on the DNA array comprises a genetic marker,
genomic DNA, genomic DNA treated with a restriction enzyme, cDNA, EST, or
synthetic oligoDNA.
40. The genotype analyzing and display system as claimed in any one of
claims 24 through 39, which comprises any one of a micro array, a macro array,
and a bead array.
41. A genotype identification method, comprising identifying a target
trait-including chromosome fragment, using the genotype analyzing and display
system of any one of claims 24 through 40, from hybrids obtained by crossing
organisms.
42. An identification method as claimed in claim 41, wherein the
organisms comprise laboratory animals and plants.
128

' 43. A screening method for screening for a target Ira it-carrying variety
from hybrids obtained by crossing organisms whose characteristics are to be
improved, using the genotype analyzing and display system of any one of claims
24 through 40.
44. The screening method as claimed in claim 43, wherein the organisms
crossed for variety improvement comprise laboratory animals and plants,
domestic animals, or crops.
45. A quantitative loci analyzing system which uses the nucleic acid array
of claim 1. comprising:
genetic marker specifying means for comparing (a) comprehensive
presence information of genes of hybrid individuals, obtained by hybridizing a
genomic sample of the hybrid individuals of a certain hybrid line with a nucleic
acid array on which a genetic marker of a species of interest is immobilized with
(b) a genetic map of a species to which the hybrid individuals belong, and
genetic marker information known in the species, so as to specify a genetic
marker that exists in the hybrid line; and
quantitative loci detecting means for detecting a quantitative locus of a
phenotype of interest of the hybrid individual, by confirming whether a
phenotypic value indicative of the phenotype is linked to the genetic marker.
46. The quantitative loci analyzing system as claimed in claim 45. further
comprising genetic map constructing means for constructing, based on genetic
map constructing information, a genetic map of a species to which the hybrid
individuals belong.
47. The quantitative loci analyzing system as claimed in claim 46, wherein
the genetic map constructing information comprises names of genes and/or
genetic markers known in the species, and chromosomal loci of the genes and/or
genetic markers.
129

' 84. The gene interaction analyzing system as claimed in any one of claims
78 through 83, wherein the output means comprises at least one of image display
means for displaying an analysis result on a screen; and printing means for
printing an analysis result.
85. The gene interaction analyzing system as claimed in any one of claims
78 through 84, wherein the input means and the output means comprise external
information input-output means for sending and receiving information to and
from an external device.
86. A gene interaction analyzing method for analyzing interaction between
genes, using the gene interaction analyzing system of any one of claims 64
through 85.
87. A gene searching method for searching for a gene associated with a
trait of interest, using the gene interaction analyzing system of any one of claims
64 through 85,
88. A variety improvement method for organisms, which uses the gene
interaction analyzing system of any one of claims 64 through 85.
89. A variety improvement method as set forth in claim 88. wherein the
organisms comprise laboratory animals and plants, domestic animals, or crops.


48. The quantitative loci analyzing system as claimed in any one of claims
45 through 47. wherein the genetic marker information used by the genetic
marker specifying means comprises a genetic marker with polymorphism.
49. The quantitative loci analyzing system as claimed in claim 48, wherein
the genetic marker comprises SNP or RFLP.
50. The quantitative loci analyzing system as claimed in any one of claims
45 through 49, wherein the quantitative loci detecting means detects a quantitative
locus of phenotype by interval mapping,
51. The quantitative loci analyzing system as claimed in any one of cJaims
45 through 50, comprising:
image reading means for enabling a hybridization result of the nucleic
acid array to be read out as image information; and
image information processing means for analyzing the image information
and generating comprehensive expression level information of gene.
52. The quantitative loci analyzing system as claimed in any one of claims
45 through 50, comprising at least one of input means and output means.
53. The quantitative loci analyzing system as claimed in claim 52, wherein
the input means receives at least one of the genetic marker information and the
phenotypic value.
54. The quantitative loci analyzing system as claimed in claim 53, wherein
the input means receives at least one of the genetic map and the genetic map
constructing information.
130

55. The quantitative loci analyzing system as claimed in any one of claims
52 through 54, comprising manual input means, provided as the input means, for
modifying at least one of: the comprehensive presence information of gene of the
hybrid individuals; the genetic marker information, and the genetic map
constructing information.
56. The quantitative loci analyzing system as claimed in any one of claims
52 through 55, wherein the output means comprises at least one of image display
means for displaying an analysis result on a screen; and printing means for
printing an analysis result,
57. The quantitative loci analyzing system as claimed in any one of claims
52 through 56, wherein the input means and the output means comprise external
information input-output means for sending and receiving information to and
from an external device.
58. The quantitative loci analyzing system as claimed in any one of claims
45 through 57, wherein the nucleic acid array comprises a DNA array on which
DNA is immobilized.
59. The quantitative loci analyzing system as claimed in any one of claims
45 through 58, wherein the nucleic acid array comprises a micro array, a macro
array, or a bead array.
60. A quantitative trait analyzing method for analyzing a quantitative trait
of an organism, using the quantitative loci analyzing system of any one of claims
45 through 59.
61. A gene searching method for searching for a gene associated with
expression of a trail of interest, using the quantitative loci analyzing system of
any one of claims 45 through 59.
131

62. A variety improvement method for organisms, which uses the
quantitative loci analyzing system of any one of claims 45 through 59.
63. A variety improvement method as claimed in claim 62, wherein the
organisms comprise laboratory animals and plants, domestic animals, or crops.
64. A gene interaction analyzing system which uses the nucleic acid array
of claim 1, comprising:
genetic marker specifying means for comparing (a) comprehensive
presence information of genes of hybrid individuals, obtained by hybridizing a
genomic sample of the hybrid individuals of a certain hybrid line with a nucleic
acid array on which a genetic marker of a species of interest is immobilized with
(b) a genetic map of a species to which the hybrid individuals belong, and
genetic marker information known in the species, so as to specify a genetic
marker that exists in the hybrid line;
spot marker information generating means for comparing the specified
genetic marker with the genetic marker immobilized on the nucleic acid array, so
as to generate spot marker information, being genetic marker information for use
in analysis, from hybridization results obtained from individual spots on the
nucleic acid array; and
hereditary factor specifying means for specifying, with regard to an
arbitrarily selected phenotype and gene to be analyzed, a hereditary factor of the
selected phenotype by determining whether the phenotypic value indicative of
the phenotype, and an expressed gene included in expression profile information
obtained from the hybrid individual are linked to a plurality of spot marker
information.
132

65. The gene interaction analyzing system as claimed in claim 64, further
comprising genetic map constructing means for constructing, based on genetic
map constructing information, a genetic map of a species to which the hybrid
individuals belong.
66. The gene interaction analyzing system as claimed in claim 65,
wherein the genetic map constructing information comprises names of genes
and/or genetic markers known in the species, and chromosomal loci of the genes
and/or genetic markers.
67. The gene interaction analyzing system as claimed in any one of claims
64 through 66, wherein the genetic marker information used by the genetic
marker specifying means comprises a genetic marker with polymorphism.
68. The gene interaction anaiyzing system as claimed in claim 67, wherein
the genetic marker comprises SNP or RFLP.
69. The gene interaction analyzing system as claimed in any one of claims
64 through 68, wherein the spot marker information generating means generates
spot marker information only for a genetic marker spot found by hybridization.
70. The gene interaction analyzing system as claimed in claim 69, wherein
the spot marker information generating means generates spot marker information
by including position information of a genetic marker immobilized on the
nucleic acid array.
71. The gene interaction analyzing system as claimed in any one of claims
64 through 70, comprising expression profile information generating means for
analyzing an expression profile in regard to a comprehensive gene expression
level obtained from the hybrid individual, so as to generate expression profile
information of the hybrid individual.
133

72. The gene interaction analyzing system as claimed in claim 71, wherein
the expression profile information generating means generates expression profile
information of the hybrid individual by comprehensively measuring gene
expression, using at least one of a micro array, a macro array, a bead array, and a
differential display.
73. The gene interaction analyzing system as claimed in claim 72, wherein
the expression profile information generating means generates expression profile
information using a nucleic acid array used to obtain comprehensive presence
information of gene of the hybrid individual, or a nucleic acid array on which the
same sample has been spotted.
74. The gene interaction analyzing system as claimed in any one of claims
64 through 73, wherein the nucleic acid array comprises a DNA array on which
DNA is immobilized.
75. The gene interaction analyzing system as claimed in any one of claims
64 through 74, wherein the nucleic acid array comprises a micro array, a niacro
array, or a bead array.
76. The gene interaction analyzing system as claimed in any one of claims
64 through 75. wherein the hereditary factor specifying means specifies a
hereditary factor of a phenotype based on a quantitative trait locus (QTL) that
exists among genetic markers obtained by interval mapping.
77. The gene interaction analyzing system as claimed in claim 76, wherein
the hereditary factor specifying means uses information of expression level of a
gene associated with the genetic marker, so as to specify a hereditary factor of
the phenotype.
134

78. The gene interaction analyzing system as claimed in any one of claims
64 through 77. comprising at least one of input means and output means.
79. The gene interaction analyzing system as claimed in claim 78, wherein
the input means receives at least one of: comprehensive presence information of
gene of the hybrid individual; the genetic marker information; the phenotypic
value; and the expression profile information,
80. The gene interaction analyzing system as claimed in claim 79, wherein
the input means receives at least one of the genetic map and the genetic map
constructing information.
81. The gene interaction analyzing system as claimed in any one of
claims 78 through 80, comprising:
image reading means, provided as the input means, for enabling a
hybridization result of the nucleic acid array to be read out as image information;
and
image information processing means for analyzing an expression level of
gene based on the image information and generating comprehensive expression
level information of gene.
82. The gene interaction analyzing system as claimed in claim 81, wherein
the input means receiving the expression profile information comprises image
information reading means.
83. The gene interaction analyzing system as claimed in any one of claims
78 through 82, comprising manual input means, provided as the input means, for
modifying at least one of: the comprehensive presence information of gene of the
hybrid individuals; the genetic marker information, and the genetic map
constructing information.
135

Documents:

3224-chenp-2005 abstract-duplicate.pdf

3224-chenp-2005 abstract.pdf

3224-chenp-2005 claims-duplicate.pdf

3224-chenp-2005 claims.pdf

3224-chenp-2005 correspondences others.pdf

3224-chenp-2005 correspondences po.pdf

3224-chenp-2005 descripition(completed)-duplicate.pdf

3224-chenp-2005 descripition(completed).pdf

3224-chenp-2005 drawings-duplicate.pdf

3224-chenp-2005 drawings.pdf

3224-chenp-2005 form-1.pdf

3224-chenp-2005 form-18.pdf

3224-chenp-2005 form-26.pdf

3224-chenp-2005 form-3.pdf

3224-chenp-2005 form-5.pdf

3224-chenp-2005 pct.pdf


Patent Number 230631
Indian Patent Application Number 3224/CHENP/2005
PG Journal Number 13/2009
Publication Date 27-Mar-2009
Grant Date 27-Feb-2009
Date of Filing 01-Dec-2005
Name of Patentee JAPAN SCIENCE AND TECHNOLOGY AGENCY
Applicant Address 4-1-8, HONCHO, KAWAGUCHI-SHI, SAITAMA 332-0012,
Inventors:
# Inventor's Name Inventor's Address
1 TAKEDA KAZUHIRO 1160-171, ARIKI KURASHIKI-SHI, OKYAMA 710-0031,
2 SATO, KAZUYOSHI 1169-40, ARIKI KURASHIKI-SHI, OKAYAMA 710-0031,
PCT International Classification Number C12N15/00
PCT International Application Number PCT/JP04/06284
PCT International Filing date 2004-04-30
PCT Conventions:
# PCT Application Number Date of Convention Priority Country
1 2004-093826 2004-03-26 Japan
2 2004-093824 2004-03-26 Japan
3 2003-126667 2003-05-01 Japan
4 2004-093825 2004-03-26 Japan