CN107217101A - Differentiate and really weigh the detection method of identification suitable for variety of crops molecular identity - Google Patents

Differentiate and really weigh the detection method of identification suitable for variety of crops molecular identity Download PDF

Info

Publication number
CN107217101A
CN107217101A CN201710527354.5A CN201710527354A CN107217101A CN 107217101 A CN107217101 A CN 107217101A CN 201710527354 A CN201710527354 A CN 201710527354A CN 107217101 A CN107217101 A CN 107217101A
Authority
CN
China
Prior art keywords
site
sample
core
variety
dna molecular
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710527354.5A
Other languages
Chinese (zh)
Other versions
CN107217101B (en
Inventor
赵久然
王凤格
田红丽
易红梅
王蕊
葛建镕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingnongke Testing And Certification Co ltd
Original Assignee
Beijing Academy of Agriculture and Forestry Sciences
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Academy of Agriculture and Forestry Sciences filed Critical Beijing Academy of Agriculture and Forestry Sciences
Priority to CN201710527354.5A priority Critical patent/CN107217101B/en
Publication of CN107217101A publication Critical patent/CN107217101A/en
Application granted granted Critical
Publication of CN107217101B publication Critical patent/CN107217101B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6888Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms
    • C12Q1/6895Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms for plants, fungi or algae
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00Oligonucleotides characterized by their use
    • C12Q2600/156Polymorphic or mutational markers

Landscapes

  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Engineering & Computer Science (AREA)
  • Organic Chemistry (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Health & Medical Sciences (AREA)
  • Biotechnology (AREA)
  • Zoology (AREA)
  • Wood Science & Technology (AREA)
  • Immunology (AREA)
  • Mycology (AREA)
  • Microbiology (AREA)
  • Molecular Biology (AREA)
  • Botany (AREA)
  • Biophysics (AREA)
  • Physics & Mathematics (AREA)
  • Biochemistry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Genetics & Genomics (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

The invention discloses a kind of detection method for differentiating suitable for variety of crops molecular identity and really weighing identification.A variety of methods and techniques are comprehensively utilized, carrying out comprehensive, multi-angle to marker site assesses, it is determined that applicable core and extension Sites Combination, under the premise of detection accuracy is met, prominent detection efficiency.(1) core Sites Combination:Efficiently to distinguish different cultivars as target, the features such as possessing high stability, high kind separating capacity, compatible with multiple platforms, number tens to hundreds of.(2) Sites Combination is extended:Using genetic similarty between accurate evaluation kind as target, possess be uniformly distributed, compatible chip platform the features such as, number is thousands of to tens of thousands of.The use in (3) two groups of sites:In cultivar identification, first detected using core bit point, such as can not effectively distinguish to be measured and control sample, then continue to detect using extension site.The detection method of the present invention is built suitable for variety of crops standard DNA finger print data, and molecular identity differentiates and really power identification etc..

Description

Differentiate and really weigh the detection method of identification suitable for variety of crops molecular identity
Technical field
The invention belongs to biology field, specifically, it is related to a kind of variety of crops molecular identity that is suitable to and differentiates With the detection method of true power identification.
Background technology
State is using agriculture as this, and agriculture is to plant as elder generation.Breeding and the fast development for planting industry, the variety of crops such as corn, paddy rice, wheat Quantity is sharply increased, and is all brought challenges to Variety identification and seed management.It is counterfeit set, how hash, a product are several, fastens one person's story upon another person Outstanding problem, these problems seriously govern the modern development for planting industry.Solve these problems be at all to variety of crops, Breeding material etc. effectively identify, monitor and protect.
Traditional field trapping test by cycle length, cost height, ambient influnence, be difficult to be formed the limitation such as normal data, The demand of variety of crops identification can not be met.In the urgent need to utilizing advanced molecular engineering, to each kind one clearly, have Effect, molecular identity card easy to identify.It is to implement cultivar identification, monitoring to carry out identification to variety of crops from DNA molecular level With the basis of protection, be ensure market fair competition in the urgent need to.DNA molecular identification technology is applied to by many developed countries In field crop and garden crop cultivar identification, international Seed Inspection association (ISTA), UPOV (UPOV), international organization's recommendation DNA identification technologies such as international seed alliance (ISF) build auxiliary with cultivar identification for varieties systematics Aid method.
Crops DNA molecular identification technology development experience three important stages, the first generation mark of the nineties in last century Note technology such as RFLP (RFLP) and RAPD (DNArandom amplified polymorphic DNA), the second generation that the beginning of this century rises Labelling technique SSR (simple repeated sequence), third generation labelling technique SNP (mononucleotide polymorphic) and INDEL in recent years (insertion and deletion is polymorphic).Wherein SSR, SNP, INDEL are due to being that codominant inheritance, chromosome mapping understand, can realize high pass Amount automation is in crops Molecular Identification field by system research or popularization and application.
Based on SSR molecular marker:China has promulgated the professional standard of corn variety identification in 2007 first, by the end of There are within 2015 16 crops to promulgate SSR fingerprint identification standards;China's staple crops kind is carried out based on above-mentioned standard Standard DNA fingerprint construction work, wherein corn, paddy rice have completed more than 20,000 parts and 5,000 multiple sample SSR fingerprints are built;And The staple crops such as corn, paddy rice SSR Molecular Identifications standard and fingerprint database are widely used in variety certification, registration, product Plant power protection, market monitorings, judicial expertise etc..External variety of crops DNA fingerprint is built mainly to be carried out under UPOV frameworks Plant variety right protects the database work of sample, as France sets up 1537 parts of corn variety SSR fingerprints, and Germany sets up 480 parts of Europe Continent wheat breed SSR fingerprints etc..
Based on SNP marker:With the continuous progress of modern molecular biology, the completion of multiple kinds of crops genome sequencing And the rise of high flux DNA typing technology etc., it is that the research and development of the New molecular marker identification technology such as SNP bring opportunity, it is main It is embodied in the following aspects.First, based on genomics Research foundation, the staple crops such as corn have developed largely Excellent SNP, IDNEL, SSR site, and carry out dependent evaluation checking.Second, since 2010, each crop high density parting Chip is issued successively, maizeSNP50K, maizeSNP3072, maizeSNP600K, 6H90K in such as corn, in paddy rice 660K and 90K in Rice 6K, 50K, 90K, wheat etc..3rd, the highdensity chip gene typing method in site is such as Illumina Infinium, Affymetrix Axiom, the high-throughout typing method LGC KASP of sample, Array Tape etc. It is applied in crops Molecular Identification technical research.
Although variety of crops Molecular Identification have 20 years of researches experiences, abundant Research foundation, variety managements, Extensive use in market monitorings, judicial expertise, but existing standard of perfection or technology are relatively independent, can only be in a class or a few classes Played a role in detection demand, without a set of comprehensive and systematic detection method.
The content of the invention
In order to change the present situation of variety of crops Molecular Detection, comprehensively solve above mentioned problem, present invention foundation molecular genetic , genomics correlation theory, binding molecule detection practice, it is proposed that one kind is suitable for the discriminating of variety of crops molecular identity and really Weigh the system detecting method of identification.
The design of the present invention is as follows:Genomics, genetic statistics and high flux genotyping technique are comprehensively utilized, Full-length genome horizontal alignment point carries out comprehensive, multi-angle deep assessment checking, differentiates according to kind identity and really power identification Etc. the requirement of different testing goals, it is determined that applicable core and extension Sites Combination, under the premise of detection accuracy is met, protrude inspection Efficiency is surveyed, it is workable, with practical application value.(1) core Sites Combination:It is excellent during DNA molecular marker method identification of species The one group of site first selected, efficiently to distinguish different cultivars as target, possesses high stability, high kind separating capacity, compatibility many Platform, take into account and be uniformly distributed and many laboratory proofing results, number of loci is tens to hundreds of magnitudes, can distinguish a kind of work The kind material of thing more than 90%, for improved variety (seed of single cross, self-mating system, DH pure lines etc.) standard fingerprint structure, kind Identity discriminating etc..(2) Sites Combination is extended:It is available outside core Sites Combination during DNA molecular marker method identification of species One group of site, using hereditary similarity degree between accurate evaluation kind as target, it is desirable to which site is uniformly distributed, compatible middle-high density core Piece, loci polymorphism is taken into account, thousands of to tens of thousands of magnitudes of number of loci can distinguish a kind of kind material of crop more than 99% Material, identification etc. is weighed for approximate kind, derivation kind really.The use of (3) two groups of Sites Combinations:When carrying out cultivar identification, Detected first by core Sites Combination, such as can not effectively distinguish testing sample and control sample, then using extension site Proceed detection, based on the relation between genetic similarty parameter decision testing sample and control sample.
In order to realize the object of the invention, what the present invention was provided is suitable to the discriminating of variety of crops molecular identity and really power identification Detection method, comprises the following steps:
S1, core DNA molecular labeling Sites Combination acquisition;
S2, the acquisition for extending DNA molecular marker Sites Combination;
S3, two groups of DNA molecular marker Sites Combinations use.
In step S1, the core DNA molecular labeling includes efficiently distinguishing different cultivars, possesses high stability, Gao Pin Kind of separating capacity, compatible with multiple platforms, take into account and be uniformly distributed and many laboratory proofing results, number of loci is tens to hundreds of amounts Level, can distinguish a kind of kind material of crop more than 90%, available for improved variety (seed of single cross, self-mating system, DH pure lines Deng) standard fingerprint build, kind identity differentiate etc. molecular labeling.
In step S2, the extension DNA molecular marker refers to outside step S1 core DNA molecular labeling Sites Combination Available molecular labeling, can hereditary similarity degree between accurate evaluation kind, site is uniformly distributed, compatible middle-high density core Piece, loci polymorphism is taken into account, thousands of to tens of thousands of magnitudes of number of loci can distinguish a kind of kind material of crop more than 99% Material, available for approximate kind, derives from the molecular labeling that kind really weighs identification etc..
In step S3, when carrying out cultivar identification, the core DNA molecular labeling Sites Combination first by step S1 is carried out Detection, such as can not effectively distinguish testing sample and control sample, then using step S2 extension DNA molecular marker Sites Combination after It is continuous to be detected, based on the relation between genetic similarty parameter decision testing sample and control sample.
Variety of crops identifies the determination in core site and extension site:
The selection of DNA molecular marker type:Codominance, rich polymorphism, experimental repeatability is good, and data are easy to integrate altogether Enjoy, site on genome distribution situation, it is known that corresponding typing method mature and reliable.Based on mentioned above principle, recommend SSR, SNP, The DNA molecular marker type that the types such as INDEL are identified as variety of crops.
Core site and the determination in extension site:(1) site is extended:From the excellent marker site pond of the crops such as corn In, with reference to the analysis of biological information means such as haplotype block, linkage disequilibrium, obtain hereditary equally distributed non-redundant candidate site Set.Polymorphic type sample (cenospecies, self-mating system/routine are planted) is chosen, using chip, contour throughput platform progress candidate bit is sequenced Point experimental evaluation, is mainly analyzed from data pick-up rate, genotyping effect, triplet feature.Finally, statistics is utilized Method determines to be suitable to the extension bits point set that breeding material is really weighed, formation middle-high density authentication chip etc..Number is thousands of to several Ten thousand.(2) core site:The demand differentiated based on improved variety identity, using platforms such as superchip, sequencings, to full-page proof This (based on known kind) carries out test assessment, candidate's core site that screening-gene type parting effect is good, polymorphism is high.Knot Many laboratories, multi-platform individual authentication result are closed, the site set that a set of compatible with multiple platforms, stability are high, polymorphism is high is determined. Optimal Sites Combination (can distinguish more than 90% known kind) is screened based on Analysis of Genetic Algorithms, and carries out random sample test, Sites Combination is optimized and revised, consequently recommended a set of high accuracy, high stability, high kind separating capacity, compatible with multiple platforms are taken into account Equally distributed core Sites Combination.Number of loci is tens to hundreds of.
The technology path that middle peasant's Identifying Crop Cultivars core of the present invention and extension Sites Combination are determined is shown in Fig. 1.
The step of variety of crops is identified:
Whether the 1st, identify testing sample A is control sample B:Detected first with core bit point, if core site Combination difference number of sites, which reaches, can be determined that sample A is different from sample B, can termination detection experiment;If using core site group Conjunction not can determine that sample A is different from sample B, then continue to carry out detection experiment using extension Sites Combination, using genetic similarty Mode judges sample A and sample B relation, determines that both relations belong to different cultivars, query and derive from kind also according to threshold value It is to derive from kind.
2nd, it is which known kind belonged to identify unknown testing sample C:Sample C fingerprint is set up first with core site Data, C fingerprint is compared two-by-two with known breed standard fingerprint database, if sample C with it is known in database Kind more can be determined that as difference then the sample may be with specific new varieties two-by-two;If sample C with it is a certain Individual or multiple kinds can not be determined as difference, then testing sample C is continued with into extension bits point with serial near sample is examined Test is tested, and is analyzed using genetic similarty, it is determined that with sample C genetic background similarity highest kinds, and determine be matter Doubt and derive from or derive from kind.
Middle peasant's Identifying Crop Cultivars technology path of the present invention is shown in Fig. 2.
The detection method that the present invention is provided can be applied in following any field.(1) variety of crops standard DNA Finger print data is built;(2) variety of crops molecular identity differentiates;(3) variety of crops really weighs identification etc..This method can be in farming The fields such as thing variety certification, registration, protection, market monitorings, judicial expertise are applied, and are varieties distribution and to set up fair competition Market environment technical support and guarantee are provided.
Above-mentioned core DNA molecular labeling site and combinations thereof and/or extension DNA molecular marker site and combinations thereof can be prepared Into chip, crops Molecular Identification/detection is carried out using constructed chip platform.
The present invention also provides the core, extension Sites Combination in variety of crops standard DNA fingerprint database structure Application.
The present invention also provides the core, extension Sites Combination in variety of crops molecular identity differentiates or kind is really weighed Application.
The present invention differentiates according to variety of crops identity and really the different testing goals such as power identification require to determine core and expansion The method for opening up Sites Combination, cultivar identification technology path is carried out using core and extension bits point.(1) solved with a small amount of core site Standard fingerprint storehouse builds the discriminating problem with most kinds, realizes reliable and stable, convenient and efficient, is particularly greatly lowered The problems such as cost;The approximate Variety identification of genetic affinity relatively near, similarity height etc. is solved with superchip or multidigit point data, with And breeding material is the problems such as really weigh.(2) core Sites Combination is determined:It is mainly used in improved variety standard fingerprint structure, kind body Part discriminating etc., efficiently to distinguish different cultivars as target, proposes its site screening principles and requirements, process, site in the present invention Number range.(3) extension Sites Combination is determined:It is mainly used in approximate kind, derivation kind, breeding material and weighs identification etc. really, Using hereditary similarity degree between accurate evaluation kind as target, its site screening principles and requirements, process, site are proposed in the present invention Number range.(4) applied with a small amount of core site and extension site:Based on variety of crops present situation and detection practical experience, carry Go out the two step system detecting methods for recycling extension bits point to be detected from core site first.
The present invention at least has following advantages and beneficial effect:
In view of the problem of variety of crops Molecular Identification is present at present, the present invention provides a kind of suitable for variety of crops molecule A kind of system detecting method that identity differentiates and really power is identified, comprehensive farming article can be applied to compared with existing authentication method Plant in the demands such as identity differentiates, breeding material is really weighed, approximate or derivation cultivar identification, expanded the application of Molecular Detection; Core and the flexible Application in extension site, on the basis of raising efficiency reduces cost, breach the limitation of number of loci, realize In the cultivar identification of genomic level;The present invention differentiates for variety of crops molecular identity, breeding material is really weighed and germplasm Stock assessment provides new idea and method, and this method can be in Crop breed audit, registration, protection, market monitorings, the administration of justice Applied in identification, be that varieties distribution and the market environment for setting up fair competition provide technical support and guarantee.
Brief description of the drawings
Fig. 1 is that variety of crops of the present invention identifies that core and extension bits point assess determination Technology Roadmap.
Fig. 2 is variety of crops identification technology route map of the present invention.
Embodiment
Following examples are used to illustrate the present invention, but are not limited to the scope of the present invention.Unless otherwise specified, embodiment According to conventional laboratory conditions, such as Sambrook equimoleculars Cloning: A Laboratory Manual (Sambrook J&Russell DW, Molecular Cloning:A Laboratory Manual, 2001), or according to the condition of manufacturer's specification suggestion.
The acquisition of the core and extension SNP marker Sites Combination of the corn of embodiment 1 (diplont) cultivar identification
1st, the determination of Sites Combination is extended:
(1) the excellent SNP site pond of corn:The domestic and international representativeness corn inbred line sample of selection (9 class germplasm groups are covered, And the torrid zone, the glutinous, local varieties of sweet tea etc.) full-length genome deep sequencing (10 ×) is carried out, excavated from high-quality heavy sequencing data, SNP site is positioned, the SNP site of single copy, two condition is determined based on Bioinformatic methods;With reference to the SNP in the chip announced SNP site in site or haplotype collection of illustrative plates, forms the more comprehensive excellent SNP site pond of corn (number of loci is more than 20,000,000).
(2) it is suitable to the candidate locus set that corn variety is identified:Above-mentioned excellent SNP site information submits two, U.S. chip Production company Affymetrix, Illumina, design team is based on probe design and the requirement of biochemical reaction to SNP site It is estimated.According to feedback information is assessed, the site for not meeting chip design requirement is deleted, point value of evaluation is deleted and is less than 0.6 Site, remaining site further carries out analysis and evaluation based on the data that self-mating system resurveys sequence.Assessing parameter is, MAF (Minor Allele Frequency) value is more than or equal to 0.2, and heterozygosis rate is less than 0.05, site both sides or at least 60bp sequences in side have Conservative (sequence of 60bp length has taken into account Affymetrix and the large chips of Illumina two design the requirement of probe length).Through Site after above-mentioned assessment, according to equally distributed principle (being analyzed with reference to physical location and haplotype block), it is chain not The methods such as equilibrium analysis, obtain the candidate locus set of equally distributed nonredundancy on genome (number of loci is more than 2,000,000).
(3) it is estimated using screening chip:Above-mentioned candidate locus set is submitted Affymetric companies to be estimated and set Meter, and form screening chip.Choose about 200 assessment samples, including the self-mating systems of different genetic backgrounds, triplet (parents and F1 cenospecies), breeding material etc., carry out test assessment.Assessing parameter is, if be PHR (poly high resolution) The site of class, data pick-up rate is more than or equal to 95%, MAF values and is more than or equal to 0.2, and triplet sample meets Mendelian inheritance, three Genotype energy automatic distinguishing is planted, site heterozygosis rate is less than 0.05, deletes undesirable site, obtains the SNP of high-effect high-quality Site.
(4) extension Sites Combination is determined:The above-mentioned site assessed through screening chip, it is further excellent according to principle is uniformly distributed Change, submit Affymetrix companies to be estimated design, customized a high density SNP chip (number of loci about 90,000).It is based on The customized chip, enlarged sample quantity, the self-mating system and Inbred Lines material for choosing acquisition corn variety power protection is commented Estimate, sample size about 2000 sets up the finger print data of these self-mating systems.It is to be classified as the site of PHR classes to assess parameter, Data pick-up rate is more than or equal to 97%, MAF values and is more than or equal to 0.2, and site heterozygosis rate is less than 0.05, deletes undesirable position Point.Further optimize using statistical method, according to equally distributed principle, obtain and be suitable to the extension site that corn variety is identified Combine (number of loci about 50,000).
2nd, the determination of core Sites Combination:
(1) candidate's core site is obtained based on large sample amount, big data analysis:Corn hybridization has been authorized or authorized in selection Kind, sample size about 3000, using above-mentioned customized chip, sets up corn hybrid seed finger print data, and to extension bits therein Point is estimated.Assessing parameter is, if be the site of PHR classes, and data pick-up rate is more than 99%, MAF values and is more than or equal to 0.4, Genotype data can automatic parting direction, physics heredity is uniformly distributed.Undesirable site is deleted, a set of candidate's core bit is obtained Point, number about 1000.
(2) multi-platform, many laboratories independently carry out site checking:Above-mentioned candidate's core site, chip, KASP, Multiple platforms such as TaqMan are verified, while submitting to other three laboratories carries out individual authentication, often take turns verification experimental verification sample This quantity about 200.With reference to the feedback result of multi-platform, many laboratory proofings, quality minute is carried out to candidate's core bit point on Class, obtains the site set that a set of compatible with multiple platforms, stability are high, polymorphism is high (number is hundreds of).
(3) it is based on the optimal Sites Combination of Analysis of Genetic Algorithms:From the superchip finger print data of about 5000 samples The data in above-mentioned hundreds of site are extracted, optimization analysis is combined based on genetic algorithm, a set of high-resolution SNP are filtered out Point, can distinguish more than 90% sample, and consider to be uniformly distributed principle, determine a set of optimal SNP site combination (number of loci Within 100).
(4) determination of core Sites Combination:Above-mentioned optimal Sites Combination, randomly selects 1000 corn samples and is surveyed Examination, adjusts optimal Sites Combination, comprehensive according to the development of kind SNP finger print data situations known to corn, with due regard to following kind Close and recommend a set of high accuracy differentiated suitable for corn identity, high stability, high kind separating capacity, the core of compatible with multiple platforms Sites Combination (number of loci is tens).
The core of the wheat of embodiment 2 (hexaploid) cultivar identification and the acquisition of extension SNP site combination
1st, the determination of Sites Combination is extended:
(1) Distinctive Wheat SNP site pond:Based on the physical map information in wheat full-length genome hereditary variation site, comprehensively Parse distribution of the SNP site in subgenome between subgenome, number of copies, homology and polymorphism level, screening tool There is discriminating homologue ability, and there is well-conserved specific mark in cultigen, set up hexaploid wheat A sub- The excellent marker site pond of group, B subgroups, the special SNP of D subgroup chromosomes.
(2) it is suitable to the candidate locus set that wheat breed is identified:Above-mentioned excellent SNP site information submits two, U.S. chip Production company Affymetrix, Illumina are estimated.Chip design evaluation and based on biological information assess with embodiment 1 in The corn principle of correspondence it is identical.Through the site after above-mentioned assessment, based on being uniformly distributed, linkage disequilibrium value method, with reference to With SNP marker polymorphism level, section base composition and design feature in subgroup between subgroup, three relatively uniform point of subgroups are obtained The candidate locus set of cloth.
(3) determination of Sites Combination is estimated and extended using screening chip:The assessment of screening chip and extension site The determination method of combination is identical with the corn principle of correspondence in embodiment 1.
2nd, the determination of core Sites Combination:
(1) candidate's core site is obtained based on large sample amount, big data analysis:Wheat descriptive literature has been authorized or authorized in selection Kind, sample size about 1000 sets up its finger print data, and extension bits point therein is estimated using customized chip. Assessing parameter is, if be the site of PHR classes, and data pick-up rate is more than 97%, MAF values and is more than or equal to 0.2, genotype data energy Enough automatic parting directions, physics heredity is uniformly distributed.
(2) multi-platform, many laboratories independently carry out site checking:Above-mentioned candidate's core site, in multiple platforms such as chip Verified, while submitting to other three laboratories carries out individual authentication, often take turns verification experimental verification sample size about 100.Knot Close feedback result, obtain the site set that a set of compatible with multiple platforms, stability are high, polymorphism is high (number is hundreds of).
(3) it is based on the optimal Sites Combination of Analysis of Genetic Algorithms:From the superchip finger print data of about 1000 samples The data in above-mentioned hundreds of site are extracted, optimization analysis is combined based on genetic algorithm, a set of high-resolution SNP are filtered out Point, can distinguish more than 90% sample, and consider to be uniformly distributed principle, determine a set of optimal SNP site combination (number of loci Within 100).
(4) determination of core Sites Combination:Above-mentioned optimal Sites Combination, randomly selects 200 wheat samples and is tested, Adjust Sites Combination scheme, recommend it is a set of suitable for wheat identity differentiate high accuracy, high stability, high kind separating capacity, The core Sites Combination of compatible with multiple platforms (number of loci is tens).
The structure of the maize dna fingerprint database of embodiment 3
(1) Reference cultivars:From corn hybrid seed capital section 968 two parent capital 724 and capital 92 as Reference cultivars, its The homozygosity of sample is detected that homozygosity reaches more than 99.9% using Sites Combination is extended.
(2) prepared by corn variety DNA:Each sample mixes the greenery of 30 individual plants, liquid nitrogen grinding, and DNA extracts specific step It is rapid to perform (Wang Fengge etc., 2014) according to maize dna Molecular Identification standard.Distinguished with ultraviolet specrophotometer and agarose electrophoresis DNA quality is extracted in detection, and agarose electrophoresis shows that DNA bands are single, do not degraded;UV spectrophotometer measuring A260/280 is between 1.8-2.0;A260/230 is more than 1.8.Dilution DNA formation working solution, concentration is 20ng/ μ L.
(3) corn variety fingerprint construction platform is selected:Flux based on each detection platform sample and site, with reference to actual feelings Condition selects suitable platform to carry out fingerprint structure.Standard for Maize sample number is more than 5000 in the present invention, and number of loci is Tens, so being adapted to selection sample high flux, the simple KASP platforms of experiment process.
(4) PCR is expanded:Enter performing PCR reaction from 1536 hole elisa Plates, water-bath PCR instrument.Reaction system is 1 μ L, including 1.5 μ L STb genes (drying), 0.5 μ L KASP ROX standard reaction mix (Kbiosciences, Herts UK), 0.014 μ L primer mixtures, 0.5 μ L deionized waters.Response procedures are 94 DEG C of 15min;Take touchdown PCR mode, 61 DEG C of landing To 55 DEG C, circulate 10 times, each 0.6 DEG C of circulation reduction;94 DEG C of 20sec, 58 DEG C of 1min, are circulated 30 times.
(5) fingerprint data collection:Amplified production is carried out using BMG Pherastar (LGC, Middlesex, UK) instrument Fluorescence signal is scanned, and obtains initial data.Initial data imports Kraken softwares (LGC, Middlesex, UK) progress analysis and obtained Obtain the finger print data in each each site of corn variety.Finger print data record format be A/B, homozygous genotype be recorded as AA or BB, heterozygous genotypes are recorded as AB, and A and B are defined using Reference cultivars simultaneously.
The application of the core of embodiment 4 and the combination of extension SNP site in corn variety identification
(1) whether identify corn sample (code name is D) to be measured is known control corn variety capital section 968 (code name is E).
DNA is extracted and quality determination:Extract corn sample to be measured (code name is D) and (code name of control corn sample capital section 968 For E) genomic DNA, step (2) in specific method be the same as Example 3.
Detect experiment process:First with core site, detection experiment is carried out based on KASP platforms.PCR is expanded and fingerprint Step (4) and (5) in collection, specific method be the same as Example 3.
Data analysis is with judging:Sample D and sample E fingerprint, one by one site be compared, difference number of loci, which reaches, to be sentenced Determine D different from E, it is not control corn variety capital section 968 to judge corn sample D to be measured.
(2) whether identify corn sample (code name is F) to be measured is known control corn variety capital section 968 (code name is E).
DNA is extracted and quality determination:Extract corn sample to be measured (code name is F) and (code name of control corn sample capital section 968 For E) genomic DNA, step (2) in specific method be the same as Example 3.
Detect experiment process:First with core site, detection experiment is carried out based on KASP platforms.PCR is expanded and fingerprint Step (4) and (5) in collection, specific method be the same as Example 3.
First time finger print data is analyzed with comparing:Sample F and sample E fingerprint, one by one site be compared, difference site Number not can determine that F is different from E, continue to carry out detection experiment using extension Sites Combination.
Extend the experiment of site combine detection:It is suitable based on each detection platform sample and the selection of site flux combination actual conditions Platform tested.Corn extends number of loci about 50,000 in the present invention, and test sample number is 2, so selection site High flux chip platform.Two samples of F and E are utilized respectively 150ngDNA, and two sample DNAs are divided together with other test samples It is fitted on 1 96 cell formula chip board.SNP chip base is carried out based on Affymetrix companies GeneTitan chip technologies platform Because of blood grouping.The Axiom 2.0Assay manual Workflow guides that operating process is announced according to Affymetrix companies Carry out.
Fingerprint data collection:Initial data CEL formatted files are obtained after chip scanning and imported into Axiom Analysis Suite softwares, are set using Best Practices and are automatically analyzed, export F and E finger print data.
Second of finger print data analysis is with comparing:Finger print data based on sample F and sample E, is joined using genetic similarty Number judges that corn sample F to be measured, with compareing the relation between corn variety capital section 968, determines that sample F is and capital section according to threshold value 968 be to belong to different cultivars, query and derive from kind, derive from kind relation.
(3) it is to belong to which in known kind corn variety to identify corn sample (code name is G) to be measured.
DNA is extracted and quality determination:The genomic DNA of corn sample to be measured (code name is G) is extracted, specific method is with implementation Step (2) in example 3.
Detect experiment process:First with core site, sample G finger print data is set up based on KASP platforms.PCR is expanded And fingerprint collecting, step (4) and (5) in specific method be the same as Example 3.
First time, data analysis was with comparing:Sample G fingerprint is compared two-by-two with known breed standard finger print data Analysis, can be determined that as difference if sample G is compared two-by-two with the known kind in database, and sample G may be to have There are specific new varieties.If sample G can not be determined as difference with some or multiple kinds, by testing sample G with being Row near sample continues with extension bits point and detected.
Extend the experiment of site combine detection:Tested based on Affymetrix chip technology platforms.G and the approximate sample of series Originally 150ngDNA is utilized respectively, is assigned to together with other test samples on 1 96 cell formula chip board.It is based on Affymetrix companies GeneTitan chip technologies platform carries out SNP chip genotypic assays.Operating process foundation The Axiom 2.0Assay manual Workflow guides that Affymetrix companies announce are carried out.
Fingerprint data collection:Initial data CEL formatted files are obtained after chip scanning and imported into Axiom Analysis Suite softwares, are set using Best Practices and are automatically analyzed, the finger of export G and the approximate sample of series Line data.
Second of finger print data analysis is with comparing:Finger print data based on sample G and the approximate sample of series, using hereditary phase Analyzed like degree parameter, it is determined that with testing sample G genetic background similarity highest kinds, and sample G is determined according to threshold value Belong to query between the kind to derive from kind or derive from kind relation.
Although above the present invention is described in detail with a general description of the specific embodiments, On the basis of the present invention, it can be modified or improved, this will be apparent to those skilled in the art.Cause This, these modifications or improvements, belong to the scope of protection of present invention without departing from theon the basis of the spirit of the present invention.
Bibliography
1.Chen HD,Xie WB,He H,Yu HH,Chen W,Li J,Yu RB,Yao Y,Zhang WH,He YQ, Tang XY,Zhou FS,Deng XW,Zhang QF,2014,A high-density SNP genotyping array for rice biology and molecular breeding,Molecular Plant,7(3),541-553
2.Ganal MW,Durstewitz G,Polley A,Bérard A,Buckler ES,Charcosset A, Clarke JD,Graner EM,Hansen M,Joets J,Paslier MC,McMullen MD,Montalent P,Rose M,CC,Sun Q,Walter H,Martin OC,Falque M,2011,A large maize(Zea mays L.)SNP genotyping array:development and germplasm genotyping,and genetic mapping to compare with the B73reference genome,PLoS One,6:e28334
3.Inghelandt DV,Melchinger AE,Lebreton C,Stich,B,2010,Population Structure and Genetic Diversity in a Commercial Maize Breeding Program Assessed with SSR and SNP Markers,Theoretical and Applied Genetics,120(7): 1289-1299
4.ISF(International Seed Federation),2008,ISF guidelines for the handling of a dispute on essential derivation of maize lines, (www.worldseed.org)
5.ISF(International Seed Federation),2010,Technical protocol for assessment of genetic distance for ISF guidelines for the handling of a dispute on EDV in diploid perennial ryegrass,microsatellite marker analysis- experimental procedures,(www.worldseed.org)
6.ISF(International Seed Federation),2014,ISF guidelines for handling disputes on essential derivation of maize lines,(www.worldseed.org)
7.Roder MS,Wendehake K,Korzun V,Bredemeijer GMM,Laborie D,Bertrand L, Isaac PS,Rendell S,Jackson J,Cooke RJ,Vosman B,Ganal MW,2002,Construction and Analysis of a Microsatellite-Based Database of European Wheat Varieties, Theoretical and Applied Genetics,106(1):67-73
8.Tian HL,Wang FG,Zhao JR,Yi HM,Wang L,Wang R,Yang Y,Song W,2015, Development of maizeSNP3072,a high-throughput compatible SNP array,for DNA fingerprinting identification of Chinese maize varieties,Molecular Breeding 35:136,DOI 10.1007/s11032-015-0335-0
9.Unterseer S,Bauer E,Haberer G,Seidel M,Knaak C,Ouzunova M,Meitinger T,Strom T M,Fries R,Pausch H,Bertani C,Davassi A,Mayer KF,CC,2014,A powerful tool for genome analysis in maize:development and evaluation of the high density 600K SNP genotyping array,BMC Genomics 15:823
10.UPOV(International Union for the Protection of New Varieties of Plants),2010,Guidelines for DNA-profiling:molecular marker selection and database construction(“BMT guidelines”),UPOV,Geneva,Switzerland
11.UPOV(International Union for the Protection of New Varieties of Plants),2011,Possible used of molecular markers in the examination of distinctness,uniformity and stability(DUS),UPOV,Geneva,Switzerland
12.Yu HH,Xie WB,Li J,Zhou FS,Zhang QF,2014,A whole-genome SNP array (RICE6K)for genomic breeding in rice,Plant Biotechnology Journal,12,28-37
13. sword is worn, Wang Xiansheng, Ding Kuimin, Wang Yanping, Xu Peng, Feng Jihong, Chen Erlong, 2013, Upland Cotton identification skill Art code SSR molecular marker method, People's Republic of China's agricultural industry criteria, NY/T 2469-2013
14. Li Dongmei, Liu Ping, Chen Lijun, Tang Hao, Sun Lianfa, Chi Yongqin, Wang Xiangyu, Ma Nan, 2014, soybean varieties mirror Determine technical regulation SSR molecular marker method, People's Republic of China's agricultural industry criteria, NY/T 2595-2014
15. you is beautiful by Lee, Zhang Han, Wang Dongjian, Sun Jiamei, Yao Fengxia, Zheng Yongsheng, Xu Jinfang, Duan Lili, Li Hua, and 2013, it is small Wheat variety identification technology code SSR molecular marker method, People's Republic of China's agricultural industry criteria, NY/T 2470-2013
16. Wang Feng lattice, Yi Hongmei, Zhao Jiuran, Liu Ping, Zhang Xinming, Tian Hongli, Du Yuan gardens, 2014, corn variety identification skill Art code SSR marker method, People's Republic of China's agricultural industry criteria, NY/T 1432-2014
17. Xu Qun, Wei Xinghua, Zhuan Jieyun, Lv Bo, Yuan Xiaoping, Liu Ping, Zhang Xinming, Yu Hanyong, Du Yuan garden, 2014, paddy rice Cultivar identification technical regulation SSR marker method, People's Republic of China's agricultural industry criteria, NY/T 1433-2014
18. Zhao is right long, Wang Fengge, Guo Jinglun, Lv Bo, Hu Changyuan, Du Yuan gardens, 2007, corn variety identification of dna fingerprint side Method, People's Republic of China's professional standard, NY/T 1432-2007
19. village outstanding person's cloud, Shi Yongfeng, Lv Bo, Chen Neng, Yang Kun, Ying Jiezheng, Zeng Ruizhen, 2007, rice varieties identification of dna refers to Line method, People's Republic of China's professional standard, NY/T 1433-2007

Claims (9)

1. differentiate and really weigh the detection method of identification suitable for variety of crops molecular identity, it is characterised in that comprise the following steps:
S1, core DNA molecular labeling Sites Combination acquisition;
S2, the acquisition for extending DNA molecular marker Sites Combination;
S3, two groups of DNA molecular marker Sites Combinations use;
In step S1, the core DNA molecular labeling includes efficiently distinguishing different cultivars, possesses high stability, high variety plot Point ability, compatible with multiple platforms, take into account and be uniformly distributed and many laboratory proofing results, number of loci is tens to hundreds of magnitudes, A kind of kind material of crop more than 90% can be distinguished, is built available for improved variety standard fingerprint, kind identity differentiates Molecular labeling;
In step S2, the extension DNA molecular marker refers to optional outside step S1 core DNA molecular labeling Sites Combination Molecular labeling, can hereditary similarity degree between accurate evaluation kind, site is uniformly distributed, compatible middle-high density chip, simultaneous Loci polymorphism is turned round and look at, thousands of to tens of thousands of magnitudes of number of loci can distinguish a kind of kind material of crop more than 99%, can use In approximate kind, derive from the molecular labeling that kind really weighs identification;
In step S3, when carrying out cultivar identification, the core DNA molecular labeling Sites Combination first by step S1 is examined Survey, such as can not effectively distinguish testing sample and control sample, then continued using step S2 extension DNA molecular marker Sites Combination Detected, based on the relation between genetic similarty parameter decision testing sample and control sample.
2. according to the method described in claim 1, it is characterised in that the DNA molecular marker is marked including SSR, SNP, INDEL Note.
3. according to the method described in claim 1, it is characterised in that in step S1 from the excellent marker site pond of crops, With reference to haplotype block, linkage disequilibrium analysis of biological information means, hereditary equally distributed non-redundant candidate site set is obtained; Polymorphic type sample is chosen, candidate locus experimental evaluation is carried out using chip, sequencing high flux platform, from data pick-up rate, gene Type parting effect, triplet feature are analyzed;Finally, determine to be suitable to the extension bits that breeding material is really weighed using statistical method Point set, forms middle-high density authentication chip, and number is thousands of to tens of thousands of.
4. according to the method described in claim 1, it is characterised in that superchip, microarray dataset are utilized in step S2, with Know and test assessment, candidate's core site that screening-gene type parting effect is good, polymorphism is high are carried out to large sample based on kind;Knot Many laboratories, multi-platform individual authentication result are closed, the site set that a set of compatible with multiple platforms, stability are high, polymorphism is high is determined; The optimal Sites Combination of more than 90% known kind can be distinguished by being filtered out based on Analysis of Genetic Algorithms, and carry out random sample survey Examination, optimizes and revises Sites Combination, finally determines a set of high accuracy, high stability, high kind separating capacity, compatible with multiple platforms, Equally distributed core Sites Combination is taken into account, number of loci is tens to hundreds of.
5. the method according to claim any one of 1-4, it is characterised in that carried out in step S3 first with core bit point Detection, if core Sites Combination difference number of sites, which reaches, can be determined that sample A is different from sample B, termination detection experiment;If It not can determine that sample A is different from sample B using core Sites Combination, then continue to carry out detection experiment using extension Sites Combination, Sample A and sample B relation are judged using genetic similarty mode, according to threshold value determine both relation belong to different cultivars, Query and derive from kind or derivation kind.
6. core DNA molecular labeling site obtained according to any one of claim 1-5 methods described and combinations thereof.
7. extension DNA molecular marker site obtained according to any one of claim 1-5 methods described and combinations thereof.
8. DNA molecular mark is extended described in core DNA molecular labeling site and combinations thereof described in claim 6 and/or claim 7 Remember application of the site and combinations thereof in variety of crops standard DNA fingerprint database structure.
9. DNA molecular mark is extended described in core DNA molecular labeling site and combinations thereof described in claim 6 and/or claim 7 Remember that site and combinations thereof differentiates or the really application in power identification in variety of crops molecular identity.
CN201710527354.5A 2017-06-30 2017-06-30 Detection method suitable for molecular identity identification and right-confirming identification of crop varieties Active CN107217101B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710527354.5A CN107217101B (en) 2017-06-30 2017-06-30 Detection method suitable for molecular identity identification and right-confirming identification of crop varieties

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710527354.5A CN107217101B (en) 2017-06-30 2017-06-30 Detection method suitable for molecular identity identification and right-confirming identification of crop varieties

Publications (2)

Publication Number Publication Date
CN107217101A true CN107217101A (en) 2017-09-29
CN107217101B CN107217101B (en) 2021-01-08

Family

ID=59951741

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710527354.5A Active CN107217101B (en) 2017-06-30 2017-06-30 Detection method suitable for molecular identity identification and right-confirming identification of crop varieties

Country Status (1)

Country Link
CN (1) CN107217101B (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108179175A (en) * 2018-01-23 2018-06-19 安徽微分基因科技有限公司 A kind of KASP combinations buccal swab is without extraction in QPCR platforms into the method for pedestrian's SNP Genotypings
CN108192991A (en) * 2018-02-06 2018-06-22 北京市农林科学院 Differentiate corn male sterility S type cytoplasm types using chloroplastic marker
CN108388766A (en) * 2018-01-19 2018-08-10 江汉大学 A kind of method that molecular difference is identified between kind
CN108416189A (en) * 2018-02-08 2018-08-17 北京市农林科学院 A kind of variety of crops Heterosis identification method based on molecular marking technique
CN108486263A (en) * 2018-02-06 2018-09-04 北京市农林科学院 Differentiate corn male sterility T-type cytoplasm type using chloroplastic marker
CN111088382A (en) * 2019-11-28 2020-05-01 北京市农林科学院 Corn whole genome SNP chip and application thereof
CN113718052A (en) * 2021-09-01 2021-11-30 北京市农林科学院 Application of 5000 SNP site combinations and method for authenticating wheat variety authenticity identity
CN116452155A (en) * 2023-06-14 2023-07-18 内蒙古盛健农牧业工程技术研究有限公司 Intelligent construction system for rapid breeding of high-yield milk goats

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007100243A1 (en) * 2006-03-01 2007-09-07 Keygene N.V. High throughput sequence-based detection of snps using ligation assays
CN104328507A (en) * 2014-10-11 2015-02-04 中国水稻研究所 SNP chip used for identifying rice variety, preparation method and application
CN104532359A (en) * 2014-12-10 2015-04-22 北京市农林科学院 Core SNP sites combination maizeSNP384 for building of maize DNA fingerprint database and molecular identification of varieties
CN105969767A (en) * 2016-07-18 2016-09-28 黄冈师范学院 SSR molecular marker primer based on transcriptome data of azalea as well as screening method and application of SSR molecular marker primer

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007100243A1 (en) * 2006-03-01 2007-09-07 Keygene N.V. High throughput sequence-based detection of snps using ligation assays
CN104328507A (en) * 2014-10-11 2015-02-04 中国水稻研究所 SNP chip used for identifying rice variety, preparation method and application
CN104532359A (en) * 2014-12-10 2015-04-22 北京市农林科学院 Core SNP sites combination maizeSNP384 for building of maize DNA fingerprint database and molecular identification of varieties
CN105969767A (en) * 2016-07-18 2016-09-28 黄冈师范学院 SSR molecular marker primer based on transcriptome data of azalea as well as screening method and application of SSR molecular marker primer

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
SANDRA UNTERSEER ET AL.: "A powerful tool for genome analysis in maize: development and evaluation of the high density 600 k SNP genotyping array", 《BMC GENOMICS》 *
刘丽华 等: "基于SNP 标记的小麦高通量身份鉴定模式", 《麦类作物学报》 *
姜卫良等: "《新常态下现代农业发展专家谈:2015年山东省农业专家顾问团论文选编》", 28 February 2016, 山东科学技术出版社 *

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108388766A (en) * 2018-01-19 2018-08-10 江汉大学 A kind of method that molecular difference is identified between kind
CN108388766B (en) * 2018-01-19 2021-11-16 江汉大学 Method for identifying molecular difference between varieties
CN108179175A (en) * 2018-01-23 2018-06-19 安徽微分基因科技有限公司 A kind of KASP combinations buccal swab is without extraction in QPCR platforms into the method for pedestrian's SNP Genotypings
CN108192991A (en) * 2018-02-06 2018-06-22 北京市农林科学院 Differentiate corn male sterility S type cytoplasm types using chloroplastic marker
CN108486263A (en) * 2018-02-06 2018-09-04 北京市农林科学院 Differentiate corn male sterility T-type cytoplasm type using chloroplastic marker
CN108416189A (en) * 2018-02-08 2018-08-17 北京市农林科学院 A kind of variety of crops Heterosis identification method based on molecular marking technique
CN108416189B (en) * 2018-02-08 2022-02-08 北京市农林科学院 Crop variety heterosis mode identification method based on molecular marker technology
CN111088382A (en) * 2019-11-28 2020-05-01 北京市农林科学院 Corn whole genome SNP chip and application thereof
CN113718052A (en) * 2021-09-01 2021-11-30 北京市农林科学院 Application of 5000 SNP site combinations and method for authenticating wheat variety authenticity identity
CN113718052B (en) * 2021-09-01 2023-11-17 北京市农林科学院 Application of 5000 SNP locus combinations and method for identifying authenticity and identity of wheat variety
CN116452155A (en) * 2023-06-14 2023-07-18 内蒙古盛健农牧业工程技术研究有限公司 Intelligent construction system for rapid breeding of high-yield milk goats

Also Published As

Publication number Publication date
CN107217101B (en) 2021-01-08

Similar Documents

Publication Publication Date Title
CN107217101A (en) Differentiate and really weigh the detection method of identification suitable for variety of crops molecular identity
Silva‐Junior et al. A flexible multi‐species genome‐wide 60K SNP chip developed from pooled resequencing of 240 Eucalyptus tree genomes across 12 species
CN104532359B (en) Maize dna fingerprint base builds and kind Molecular Identification SNP core Sites Combination-maizeSNP384
KR102015929B1 (en) Rice Whole Genome Breeding Chip and Application Thereof
Laucou et al. High throughput analysis of grape genetic diversity as a tool for germplasm collection management
CN108998550B (en) SNP molecular marker for rice genotyping and application thereof
CN108779459A (en) Cotton whole genome snp chip and its application
CN110257547B (en) Corn core SNP marker developed based on KASP technology and application thereof
CN111088382B (en) Corn whole genome SNP chip and application thereof
CN112289384B (en) Construction method and application of citrus whole genome KASP marker library
CN102899400B (en) Molecule marking method for rice anti-rice blast gene Pigm
CN107815507A (en) For detecting SNP marker and the application of rice brown planthopper resistant Bph14 genes
CN110846429A (en) Corn whole genome InDel chip and application thereof
CN110106279B (en) Single-site SSR primer group developed based on Miscanthus formosanus genome sequence and application thereof
CN107746896A (en) The SNP marker related to peach pericarp villus morphology and its application
CN109762922A (en) SNP marker and its screening technique for Germplasm Resources on Phaseolus Vulgaris identification
CN106460063A (en) SNP combination for Chinese cabbage germplasm resource diversity analysis and molecular breeding and application thereof
CN108179220B (en) KASP marker tightly linked with wheat dwarf gene Rht12 and application thereof
CN108416189B (en) Crop variety heterosis mode identification method based on molecular marker technology
CN113493853B (en) SNP (Single nucleotide polymorphism) marker combination for rice variety resource identification
CN105349659B (en) A set of core SNP marker and its application suitable for the building of Chinese cabbage kind nucleic acid fingerprint database
CN105779581B (en) A set of core SNP marker and its application suitable for the building of Chinese cabbage cultivar nucleic acid fingerprint database
CN104573409B (en) The multiple check method of the assignment of genes gene mapping
CN108676906B (en) SSR locus of corn chloroplast genome and application of SSR locus in variety identification
CN108060247A (en) A kind of and No. 8 relevant haplotypes of chromosome fibre intensity of upland cotton

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20240306

Address after: Room 701, 7th Floor, No. 11 Shuguang Huayuan Middle Road, Haidian District, Beijing, 100097

Patentee after: Beijing Jingnongke Testing and Certification Co.,Ltd.

Country or region after: China

Address before: 100097 No. 9 middle garden, Shuguang garden, Beijing, Haidian District

Patentee before: BEIJING ACADEMY OF AGRICULTURE AND FORESTRY SCIENCES

Country or region before: China

TR01 Transfer of patent right