Rosa chinensis flower type prediction SNP molecular marker combination and application thereof

Abstract

The application provides a SNP molecular marker combination for rose flower type prediction and application thereof. The combination comprises 2001 SNP sites distributed on 14 chromosomes of the rose and can be used for predicting the rose flower type, including round, irregular round and star shape. The SNP sites are determined by whole genome association analysis and multiple software models, and have an advantageous allele which is positively significantly associated with the rose flower type. The application also relates to a prediction probe and a prediction chip based on the SNP molecular marker combination and application thereof in rose flower type prediction. By using the SNP molecular marker combination, the prediction probe or the prediction chip in combination with a prediction model, the flower forming characteristics of the rose can be predicted 6-8 months after planting, the breeding cycle is greatly shortened to 2-3 years, the prediction accuracy is improved, the cost is reduced, the screening efficiency is improved, a variety right technical barrier is formed, and the application has important theoretical value and application significance.

Description

Technical Field

[0001] This invention relates to the field of molecular breeding technology, and in particular to a combination of SNP molecular markers for predicting rose flower type and its application. Background Technology

[0002] Modern rose flower type breeding mainly includes methods such as introduction, hybridization, and seed selection. Developing superior varieties often requires 10-20 years of targeted selection, resulting in a long breeding cycle, high costs, and slow returns. Traditional breeding methods primarily rely on the selection of hybrid parents, creating variation through sexual hybridization combinations, and then selecting individuals that meet the breeding objectives. However, this method has significant shortcomings: First, it relies on manual observation and morphological statistics to determine flower type, making it difficult to accurately quantify complex flower type characteristics such as double petals and petal arrangement layers. Especially when dealing with populations of tens of thousands of hybrid offspring, it suffers from low efficiency in obtaining phenotypic data and highly subjective evaluation standards. Second, it cannot achieve dynamic prediction of flower type in the early developmental stages, leading to a long breeding cycle, typically requiring waiting until the plants have flowered before selection can begin.

[0003] Single nucleotide polymorphisms (SNPs), as third-generation molecular markers, possess advantages such as dense distribution, good genetic stability, and co-dominance. They are the foundation of DNA resequencing and genetic diversity analysis, and the preferred tool for next-generation genetic variation research. In plant breeding, SNP molecular markers have been widely used in gene mapping, genetic map construction, and marker-assisted breeding (MAS). In recent years, with the continuous development and cost reduction of high-throughput sequencing technology, the application of SNP molecular marker technology in plant genomics research and molecular breeding has become increasingly widespread, providing new technical means for rose flower type prediction and breeding.

[0004] Genome-wide selection breeding is a breeding method that uses high-density molecular markers covering the entire genome, combined with statistical models, to predict the breeding potential of individuals. By detecting the DNA of seeds or seedlings, material selection can be completed, significantly saving breeding time after field planting and accelerating the breeding process. This method can fully utilize genetic information across the entire genome, considering the minor effects of multiple genes and complex interactions between genes, enabling effective genetic improvement of complex quantitative traits. In rose breeding, genome-wide selection breeding technology offers potential for early prediction and precise selection of flower shapes.

[0005] Currently, there is no effective prediction system for rose flower shape. Traditional flower shape evaluation methods mainly rely on manual observation and experience, which can only record phenotypic data after the rose has bloomed, and cannot accurately predict the flower shape in the early stages. This lag means that a lot of time and resources need to be invested in the breeding process to wait for the plants to bloom before selecting individuals that meet the target flower shape, which seriously restricts the efficiency and progress of rose breeding. Therefore, developing a method that can accurately predict the flower shape of roses in the early developmental stages is of great practical significance for shortening the breeding cycle and improving breeding efficiency. Summary of the Invention

[0006] To address the problems of existing technologies, the purpose of this invention is to provide a combination of SNP molecular markers for predicting rose flower shape and its application.

[0007] To achieve the above objectives, the present invention adopts the following technical solution:

[0008] In one aspect, this application provides a combination of SNP molecular markers for predicting rose flower shape.

[0009] Secondly, this application provides a prediction probe for rose flower shape.

[0010] Thirdly, this application provides a predictive chip for rose flower patterns.

[0011] Fourthly, this application provides an application of SNP molecular marker combinations, probes, or chips in rose flower shape prediction.

[0012] Fifthly, this application provides a method for predicting rose flower shape based on SNP molecular marker combinations.

[0013] Sixthly, this application provides a method for constructing a predictive model of rose flower type based on SNP molecular marker combinations.

[0014] The first aspect of this application provides a combination of SNP molecular markers for predicting rose flower shape. The combination of SNP molecular markers includes 2001 SNP loci distributed on the 14 chromosomes of rose. These SNP loci can be used to predict rose flower shape, which includes round, irregular round, and star-shaped flower shapes.

[0015] The specific information of the SNP loci is represented in the structure of chromosome number_physical location_allele. The SNP loci contain dominant alleles that are positively and significantly associated with rose flower type. The specific locus information is shown in Appendix 1 of the instruction manual.

[0016] Furthermore, the SNP sites were determined through genome-wide association analysis of 358 rose resequencing materials, and were screened using multiple software and models.

[0017] The second aspect of this application provides a rose flower type prediction probe, which is a specific probe designed for combinations of SNP sites and is used to detect corresponding SNP sites in the rose genome.

[0018] A third aspect of this application provides a prediction chip for rose flower shape. The prediction chip includes probes capable of high-throughput detection of genomic DNA in rose samples to obtain SNP locus information related to flower shape. This chip is in liquid-phase form and features low cost, dynamically expandable marker library, and high detection efficiency.

[0019] The fourth aspect of this application provides an application of SNP molecular marker combinations, probes, or chips in rose flower shape prediction. By extracting the genomic DNA of rose plants and using the SNP site combinations, probes, or chips for detection, combined with a prediction model, the flowering characteristics of roses can be predicted 6-8 months after planting, thereby shortening the rose breeding cycle to 2-3 years.

[0020] Furthermore, the prediction models include genome-wide selection models such as Bayes Ridge Regression (BRR), with a prediction accuracy greater than 0.815.

[0021] The fifth aspect of this application provides a method for predicting rose flower type based on SNP molecular marker combinations, including the following steps:

[0022] The fifth aspect of this application provides a method for predicting rose flower type based on SNP molecular marker combinations, including the following steps:

[0023] (1) Extract genomic DNA from the rose plants to be tested;

[0024] (2) Library construction of the extracted genomic DNA;

[0025] (3) Use probes corresponding to SNP site combinations to perform hybridization capture and enrich the target DNA region;

[0026] (4) Perform high-throughput sequencing on the captured DNA;

[0027] (5) Perform data analysis on the sequencing results to obtain genotype information of SNP sites;

[0028] (6) Input the genotype information of the SNP loci into the pre-established prediction model to obtain the prediction results of the rose flower type.

[0029] Furthermore, in step (1), the genomic DNA of the rose plant to be tested is extracted from the rose leaf tissue using the magnetic bead method.

[0030] Furthermore, in step (3), before hybridization capture using probes corresponding to the SNP molecular marker combination, a pre-PCR amplification step is also included for the constructed DNA.

[0031] The sixth aspect of this application provides a method for constructing a predictive model of rose flower type based on SNP molecular marker combinations, comprising the following steps:

[0032] (1) Collect rose genotype data containing SNP locus combinations and corresponding flower shape phenotype data, including round, irregular round and star-shaped flowers;

[0033] (2) Quality control was performed on the collected SNP locus data, including retaining loci with an allele frequency greater than 0.01 and a deletion rate less than 0.2.

[0034] (3) Use multiple software and models to perform genome-wide association analysis (GWAS) on quality-controlled SNP locus data and flower phenotype data. The software includes, but is not limited to, EMMAX, GEMMA, RMVP, and TASSEL, and the models include, but are not limited to, FARMCPU model, GLM model, and MLM model.

[0035] (4) Screen the SNP sites obtained from GWAS analysis and remove sites with Indel markers within 50bp upstream and downstream, more than one copy number in the whole genome, GC content not in the range of 40-60%, short repetitive sequences or N bases.

[0036] (5) Sort the filtered SNP sites according to the number of software and models associated and the association results, and select SNP sites with a large number of software associations and significant association values.

[0037] (6) Construct and evaluate prediction models for selected SNP sites using multiple genome-wide selection models, including but not limited to LightGBM, Random Forest, SVR, Lasso Regression, Ridge Regression, rrBLUP, RKHS, Bayes Ridge Regression, Bayesian Lasso, BayesC, BayesB, BayesA, and GBLUP;

[0038] (7) Determine the optimal prediction model based on the accuracy evaluation results of the prediction model, wherein the accuracy evaluation indicators include, but are not limited to, prediction accuracy, and the prediction accuracy is greater than 0.815.

[0039] Beneficial effects: This invention significantly shortens the breeding cycle. At the same time, by simultaneously detecting key SNP sites through liquid phase chip, combined with patented marker groups and prediction models, it enables early screening of flower type traits and synergistic optimization of stress resistance.

[0040] Compared with the prior art, the present invention has the following advantages:

[0041] (1) Shorten the breeding cycle: The traditional rose breeding cycle is as long as 5-8 years. However, this invention constructs a rose flower shape prediction model by analyzing the microstructure of stems and leaves, gene markers and environmental factors during the seedling stage. This enables breeders to predict the flowering characteristics 6-8 months after planting, greatly shortening the breeding cycle to 2-3 years. This achieves a leap from "seeing the fruit after flowering" to "knowing before flowering", significantly improving breeding efficiency.

[0042] (2) Improved prediction accuracy: This invention utilizes 358 rose resequencing materials and collected flower type genome-wide association analysis. After multiple screenings and evaluations, 2001 high-quality SNP markers were identified, and a genome-wide selection model (such as the Bayes Ridge Regression (BRR) model) with a prediction accuracy greater than 0.815 was constructed. This model can more accurately predict rose flower types. Compared with traditional methods that rely on manual experience observation and morphological statistics, it greatly improves the accuracy and reliability of prediction.

[0043] (3) Reduced cost: The present invention uses liquid phase breeding chip and SNP site marker screening technology, which reduces the cost by 60% compared with traditional solid phase chip, and supports dynamic expansion of marker library, realizing rapid genotyping of hybrid offspring seedlings and reducing breeding cost.

[0044] (4) Improve screening efficiency: By combining SNP locus data with phenotypic prediction algorithms, “genotype potential assessment + flower type phenotypic prediction” can be completed simultaneously within 6 months of planting, improving screening efficiency by more than 3 times and effectively improving the screening efficiency and scientific decision-making of breeding work.

[0045] (5) Forming a technical barrier for variety rights: This invention locks in key gene variations by screening based on protected site genotypes, forming a molecular marker intellectual property barrier, which helps breeders protect their breeding results, enhance the commercial competitiveness of varieties, and promote the upgrading of rose breeding from "field trial and error" to "chip-driven" molecular design mode. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 This is an allele frequency diagram of rose petal flower shape provided by the present invention.

[0048] Figure 2 The missing rate diagram of rose petal shapes provided by this invention.

[0049] Figure 3 This is a diagram showing the results of genome-wide selection evaluation of rose petal shapes provided by this invention.

[0050] Figure 4 The heterozygosity diagram of rose petal flower shape provided by the present invention.

[0051] Figure 5 The distribution map of whole chromosome markers for rose petal flower shape provided by the present invention. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] In this application, the term "and / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0054] In this application, "-one less" means one or more, and "more than" means two or more. "-one less item (item) below" or similar expressions refer to any combination of these items, including any combination of single or multiple items. For example, "-one less item (item) in a, b, or c", or "-one less item (item) in a, b, and c", can all mean: a, b, c, ab (i.e., a and b), ac, bc, or abc, where a, b, and c can be single or multiple.

[0055] It should be understood that in the various embodiments of this application, the order of the above processes does not imply the order of execution. Some or all steps may be executed in parallel or sequentially. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0056] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. The singular forms “a,” “the,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0057] The weights of the relevant components mentioned in the embodiments of this application can refer not only to the specific content of each component, but also to the proportional relationship between the weights of the components. Therefore, any scaling up or down of the content of the relevant components according to the embodiments of this application is within the scope disclosed in the embodiments of this application. Specifically, the mass described in the embodiments of this application can be a mass unit known in the chemical industry, such as μg, mg, g, or kg.

[0058] The terms "first" and "second" are used for descriptive purposes only, to distinguish objects, such as substances, from one another, and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. For example, without departing from the scope of the embodiments of this application, "first XX" may also be referred to as "second XX," and similarly, "second XX" may also be referred to as "first XX." Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of that feature.

[0059] The first aspect of this application provides a combination of SNP molecular markers for predicting rose flower shape. The combination of SNP molecular markers includes 2001 SNP loci distributed on the 14 chromosomes of rose. These SNP loci can be used to predict rose flower shape, which includes round, irregular round, and star-shaped flower shapes.

[0060] The specific information of the SNP loci is represented in the structure of chromosome number_physical location_allele. The SNP loci contain dominant alleles that are positively and significantly associated with rose flower type. The specific locus information is shown in Appendix 1 of the instruction manual.

[0061] In some embodiments, SNP sites were determined by genome-wide association analysis of 358 rose resequencing materials, followed by association screening using multiple software and models.

[0062] The second aspect of this application provides a rose flower type prediction probe, which is a specific probe designed for combinations of SNP sites and is used to detect corresponding SNP sites in the rose genome.

[0063] A third aspect of this application provides a rose flower shape prediction chip. The prediction chip includes probes capable of high-throughput detection of genomic DNA in rose samples to obtain SNP site information related to flower shape. This chip is in liquid-phase chip form and features low cost, dynamically expandable marker library, and high detection efficiency.

[0064] The fourth aspect of this application provides an application of SNP molecular marker combinations, probes, or chips in rose flower shape prediction. By extracting the genomic DNA of rose plants and using the SNP site combinations, probes, or chips for detection, combined with a prediction model, the flowering characteristics of roses can be predicted 6-8 months after planting, thereby shortening the rose breeding cycle to 2-3 years.

[0065] In some embodiments, the prediction model includes genome-wide selection models such as Bayes Ridge Regression (BRR), with a prediction accuracy greater than 0.815.

[0066] The fifth aspect of this application provides a method for predicting rose flower type based on SNP molecular marker combinations, including the following steps:

[0067] (1) Extract genomic DNA from the rose plants to be tested;

[0068] (2) Library construction of the extracted genomic DNA;

[0069] (3) Use probes corresponding to SNP site combinations to perform hybridization capture and enrich the target DNA region;

[0070] (4) Perform high-throughput sequencing on the captured DNA;

[0071] (5) Perform data analysis on the sequencing results to obtain genotype information of SNP sites;

[0072] (6) Input the genotype information of the SNP loci into the pre-established prediction model to obtain the prediction results of the rose flower type.

[0073] In some embodiments, in step (1), the genomic DNA of the rose plant to be tested is extracted from the rose leaf tissue using a magnetic bead method.

[0074] In some embodiments, step (3) further includes a pre-PCR amplification step of the constructed DNA before hybridization capture using probes corresponding to the SNP molecular marker combination.

[0075] The sixth aspect of this application provides a method for constructing a predictive model of rose flower type based on SNP molecular marker combinations, including the following steps:

[0076] (1) Collect rose genotype data containing SNP locus combinations and corresponding flower shape phenotype data, including round, irregular round and star-shaped flowers;

[0077] (2) Quality control was performed on the collected SNP locus data, including retaining loci with an allele frequency greater than 0.01 and a deletion rate less than 0.2.

[0078] (3) Use multiple software and models to perform genome-wide association analysis (GWAS) on quality-controlled SNP locus data and flower phenotype data. The software includes, but is not limited to, EMMAX, GEMMA, RMVP, and TASSEL, and the models include, but are not limited to, FARMCPU model, GLM model, and MLM model.

[0079] (4) Screen the SNP sites obtained from GWAS analysis and remove sites with Indel markers within 50bp upstream and downstream, more than one copy number in the whole genome, GC content not in the range of 40-60%, short repetitive sequences or N bases.

[0080] (5) Sort the filtered SNP sites according to the number of software and models associated and the association results, and select SNP sites with a large number of software associations and significant association values.

[0081] (6) Construct and evaluate prediction models for selected SNP sites using multiple genome-wide selection models, including but not limited to LightGBM, Random Forest, SVR, Lasso Regression, Ridge Regression, rrBLUP, RKHS, Bayes Ridge Regression, Bayesian Lasso, BayesC, BayesB, BayesA, and GBLUP;

[0082] (7) Determine the optimal prediction model based on the accuracy evaluation results of the prediction model, wherein the accuracy evaluation indicators include, but are not limited to, prediction accuracy, and the prediction accuracy is greater than 0.815.

[0083] This invention belongs to the field of molecular breeding technology, specifically involving a set of SNP marker combinations that can accurately predict rose flower types. Using 358 rose resequencing materials and collected genome-wide association analyses of flower types, 2001 SNP markers with significant association results across multiple software programs were selected, and a genome-wide selection model with good predictive results was constructed. This marker combination is distributed across 14 chromosomes and can provide theoretical and data support for rose flower type breeding, possessing significant theoretical value and application significance.

[0084] Example 1

[0085] The present invention provides a combination of SNP molecular markers for predicting rose flower shape. The combination of SNP molecular markers includes 2001 SNP loci distributed on the 14 chromosomes of rose. These SNP loci can be used to predict rose flower shape, which includes round, irregular round, and star-shaped flower shapes.

[0086] The specific information of the SNP loci is represented in the structure of chromosome number_physical location_allele type. The SNP loci contain dominant alleles that are positively and significantly associated with rose flower type. The specific locus information is shown in Table 1.

[0087] Table 1

[0088] Chr1A_805313_G / A,Chr1A_905659_A / G,Chr1A_1890140_T / A,Chr1A_14566066_A / C,Chr1A_14566102_A / G,Chr1A_26240532_A / G,Chr1A_26240593_C / A,Chr1A_26240597_G / A,Chr1A_29041528_C / T,Chr1A_29507784_T / C,Chr1A_32140905_T / G,Chr1A_32506311_A / G,Chr1A_32876583_C / T,Chr1A_33024539_G / A,Chr1A_34127806_C / G,Chr1A_34150520_A / G,Chr1A_34159411_T / A,Chr1A_34234342_A / T,Chr1A_34243512_T / A,Chr1A_34244727_T / C,Chr1A_34245336_A / G,Chr1A_34245630_G / A,Chr1A_34481883_G / A,Chr1A_34481967_A / G,Chr1A_34484149_C / T,Chr1A_34484172_G / A,Chr1A_34496893_C / T,Chr1A_34497973_A / G,Chr1A_34619065_C / G,Chr1A_34782525_T / C,Chr1A_34787191_A / T,Chr1A_34787331_T / A,Chr1A_34787400_C / T,Chr1A_34787403_A / T,Chr1A_34825983_C / T,Chr1A_34953464_C / T,Chr1A_34978897_G / A,Chr1A_34981630_C / T,Chr1A_34982564_C / A,Chr1A_35107309_T / A,Chr1A_35152509_C / T,Chr1A_35152666_T / C,Chr1A_35152670_G / T,Chr1A_35152990_C / T,Chr1A_35153003_C / T,Chr1A_35153075_T / C,Chr1A_35153101_C / T,Chr1A_35153412_G / C,Chr1A_35177633_C / T,Chr1A_35599095_C / T,Chr1A_35620111_A / G,Chr1A_35774356_A / G,Chr1A_35852207_C / T,Chr1A_35852813_A / G,Chr1A_35880222_A / T,Chr1A_35955514_T / G,Chr1A_35962254_G / A,Chr1A_35968574_G / A,Chr1A_35983855_G / A,Chr1A_36021267_G / A,Chr1A_36025894_G / A,Chr1A_36041349_G / A,Chr1A_36041515_T / G,Chr1A_36111533_G / A,Chr1A_36200176_G / A,Chr1A_36200464_A / T,Chr1A_36200511_A / G,Chr1A_36222378_T / G,Chr1A_36222554_G / A,Chr1A_36222654_T / A,Chr1A_36222774_C / T,Chr1A_36223094_C / G,Chr1A_36223717_C / A,Chr1A_36226815_A / T,Chr1A_36388437_A / G,Chr1A_36975491_A / C,Ch r1A_36975591_T / A,Chr1A_37012645_C / T,Chr1A_37014718_G / A,Chr1A_37018472_T / A,Chr1A_37018520_C / T,Chr1A_37018557_A / C,Chr1A_37018699_C / T,Chr1A_37018710_C / T,Chr1A_37018770_A / C,Chr1A_37019362_G / A,Chr1A_37027731_C / T,Chr1A_37027823_T / A,Chr1A_37029248_T / A,Chr1A_37035793_C / T,Chr1A_37037132_C / T,Chr1A_37055279_G / A,Chr1A_37122189_C / T,Chr1A_37122380_G / A,Chr1A_37122387_A / C,Chr1A_37122594_G / A,Chr1A_37122669_G / A,Chr1A_37145582_G / A,Chr1A_37145593_A / T,Chr1A_37145859_T / C,Chr1A_37145870_C / G,Chr1A_37145889_G / T,Chr1A_37145895_A / T,Chr1A_37145946_G / T,Chr1A_37145957_C / T,Chr1A_37146381_T / G,Chr1A_37155366_C / T,Chr1A_37158666_A / G,Chr1A_37160269_G / T,Chr1A_37162307_C / T,Chr1A_37162581_G / A,Chr1A_37175620_G / A,Chr1A_37175720_C / A,Chr1A_37185708_C / T,Chr1A_37185762_A / T,Chr1A_37216460_G / A,Chr1A_37216469_G / A,Chr1A_37220233_A / G,Chr1A_37221132_T / C,Chr1A_37536441_G / A,Chr1A_37536450_C / T,Chr1A_37536459_C / T,Chr1A_37536489_C / T,Chr1A_37536513_A / G,Chr1A_37536551_C / T,Chr1A_37536578_T / G,Chr1A_37548751_C / T,Chr1A_37564835_G / A,Chr1A_37565150_T / C,Chr1A_37565198_T / C,Chr1A_37565214_G / A,Chr1A_38204907_C / A,Chr1A_38204967_C / T,Chr1A_38207141_T / C,Chr1A_38803646_G / A,Chr1A_41439979_G / A,Chr1A_43758947_A / G,Chr1A_43840517_C / T,Chr1A_44230041_T / C,Chr1A_44460732_C / T,Chr1A_44461170_T / C,Chr1A_44461268_T / A,Chr1A_44461442_C / T,Chr1A_44461475_C / T,Chr1A_44461630_T / A,Chr1A_44461691_C / T,Chr1A_44461829_T / C,Chr1A_44463135_T / C,Chr1A_44463229_C / T,Chr1A_44694943_A / T,Chr1A_44723143_C / T,Chr1A_44874671_G / A,Chr1A_49861722_C / T,Chr1A_50687945_T / C,Chr1A_61070685_G / T,Chr1A_64784083_G / A,Chr1A_65127499_G / T,Chr1A_65131459_G / A,Chr1A_65131482_T / G,Chr1A_65131523_C / T,Chr1A_65137606_G / T,Chr1A_65656657_C / T,Chr1A_66403893_T / A,Chr1A_66403945_T / C,Chr1A_66405909_C / T,Chr1A_66406080_G / A,Chr1A_66406547_G / T,Chr1A_66407767_C / T,Chr1A_66408444_T / C,Chr1A_66426833_A / G,Chr1A_66430158_C / T,Chr1A_66436319_T / C,Chr1A_66439951_C / T,Chr1A_66444627_G / T,Chr1B_18460291_G / A,Chr1B_22673973_C / T,Chr1B_22680034_C / T,Chr1B_22680042_G / T,Chr1B_23510220_G / A,Chr1B_25741720_G / A,Chr1B_26062747_G / A,Chr1B_26480231_C / T,Chr1B_26575755_A / G,Chr1B_26677113_T / C,Chr1B_26727563_G / A,Chr1B_26727614_C / T,Chr1B_26742153_C / T,Chr1B_26749473_T / G,Chr1B_26749474_G / T,Chr1B_27127036_C / T,Chr1B_27326704_T / C,Chr1B_32634186_G / C,Chr1B_32634269_T / C,Chr1B_32634327_C / G,Chr1B_33574041_T / A,Chr1B_33574092_C / T,Chr1B_33626363_T / A,Chr1B_33696243_C / T,Chr1B_33753960_C / G,Chr1B_43566112_T / G,Chr1B_47003167_G / C,Chr1B_52130360_A / C,Chr1B_52280278_T / C,Chr1B_53104886_G / C,Chr1B_53169971_T / A,Chr1B_53336486_G / A,Chr1B_53469677_A / G,Chr1B_54913894_T / C,Chr1B_55352338_C / T,Chr1B_55352354_A / T,Chr1B_55413582_T / A,Chr1B_55423399_T / C,Chr2A_4081414_G / A,Chr2A_4716910_G / A,Chr2A_4717645_T / C,Chr2A_7669640_C / T,Chr2A_7669860_G / T,Chr2A_15364683_G / T,Chr2A_15376350_C / G,Chr2A_21122262_G / A,Chr2A_23478933_C / T,Chr2A_23478934_G / A,Chr2A_24493498_A / G,Chr2A_24853637_C / G,Chr2A_25904926_C / T,Chr2A_27058786_A / G,Chr2A_27058790_A / G,Chr2A_33114475_C / A,Chr2A_33114507_T / G,Chr2A_33688306_C / T,Chr2A_33688366_G / T,Chr2A_33688423_T / C,Chr2A_35529633_G / A,Chr2A_36053652_T / C,Chr2A_36053657_T / A,Chr2A_36066509_T / C,Chr2A_36558558_T / C,Chr2A_36559245_C / T,Chr2A_36559453_T / C,Chr2A_36559663_T / A,Chr2A_36559899_A / G,Chr2A_36560050_A / G,Chr2A_36560091_T / C,Chr2A_36560149_A / G,Chr2A_36560166_T / C,Chr2A_36560248_A / T,Chr2A_36560275_T / G,Chr2A_36560328_A / G,Chr2A_36560475_T / C,Chr2A_36560641_T / C,Chr2A_36560664_A / G,Chr2A_36560699_C / G,Chr2A_36560740_T / C,Chr2A_36560784_T / C,Chr2A_36560911_T / C,Chr2A_36560929_G / A,Chr2A_36561002_T / C,Chr2A_36561063_C / T,Chr2A_36826332_C / T,Chr2A_37637431_T / A,Chr2A_37637433_T / G,Chr2A_37637443_G / T,Chr2A_38612305_A / G,Chr2A_46723354_G / A,Chr2A_48496435_T / G,Chr2A_48496445_G / A,Chr2A_50208950_A / G,Chr2A_50210301_G / A,Chr2A_51708010_T / C,Chr2A_53147325_G / T,Chr2A_55161927_C / T,Chr2A_55162234_G / C,Chr2A_55165135_A / G,Chr2A_55389766_A / T,Chr2A_55389773_G / A,Chr2A_60211097_G / A,Chr2A_61123889_A / T,Chr2A_63529917_G / A,Chr2A_64037896_T / C,Chr2A_64038993_T / C,Chr2A_64051487_C / A,Chr2A_64051493_C / T,Chr2A_64052112_A / T,Chr2A_64058424_G / A,Chr2A_64058425_A / G,Chr2A_64058715_T / C,Chr2A_64058757_G / T,Chr2A_64082731_A / C,Chr2A_64084314_C / A,Chr2A_64084350_T / C,Chr2A_64084596_T / C,Chr2A_64084624_A / G,Chr2A_64349438_C / T,Chr2A_67810645_C / T,Chr2A_67810655_T / A,Chr2A_71453528_C / T,Chr2A_72997734_G / A,Chr2A_73335866_A / G,Chr2A_73821865_G / A,Chr2A_78816767_A / C,Chr2A_86472143_A / T,Chr2A_86472158_A / G,Chr2B_10860640_C / T,Chr2B_10928222_A / T,Chr2B_25596261_G / A,Chr2B_25596351_A / C,Chr2B_27454174_A / C,Chr2B_27872654_C / T,Chr2B_29876466_C / T,Chr2B_32667392_G / A,Chr2B_34431124_C / A,Chr2B_34431125_A / G,Chr2B_35269470_G / A,Chr2B_35298140_T / G,Chr2B_35483035_A / G,Chr2B_35728413_C / A,Chr2B_44109874_C / G,Chr2B_49172504_G / T,Chr2B_50323402_T / G,Chr2B_51779777_A / G,Chr2B_51783980_A / T,Chr2B_69114426_G / A,Chr2B_69838584_G / A,Chr3A_108173_T / C,Chr3A_108370_C / T,Chr3A_108425_A / G,Chr3A_108426_T / G,Chr3A_109088_C / G,Chr3A_157968_A / G,Chr3A_158911_T / G,Chr3A_184155_A / G,Chr3A_206640_G / A,Chr3A_236790_G / C,Chr3A_255730_A / T,Chr3A_262467_G / A,Chr3A_306215_C / T,Chr3A_335845_A / T,Chr3A_335851_T / G,Chr3A_336021_A / G,Chr3A_336068_G / A,Chr3A_336073_A / G,Chr3A_337056_A / C,Chr3A_337065_C / T,Chr3A_337076_C / T,Chr3A_337077_T / G,Chr3A_337089_G / A,Chr3A_337125_A / T,Chr3A_337149_C / G,Chr3A_337189_C / T,Chr3A_354909_C / T,Chr3A_384092_A / T,Chr3A_384110_T / C,Chr3A_384144_T / A,Chr3A_384290_A / G,Chr3A_384324_T / C,Chr3A_384348_G / T,Chr3A_384497_T / G,Chr3A_389071_G / A,Chr3A_389083_G / A,Chr3A_389099_C / T,Chr3A_390867_A / G,Chr3A_390888_A / G,Chr3A_390900_G / A,Chr3A_405091_G / A,Chr3A_405899_G / A,Chr3A_405955_A / G,Chr3A_411762_A / G,Chr3A_411785_G / C,Chr3A_411790_C / T,Chr3A_411807_A / G,Chr3A_411905_A / G,Chr3A_411932_T / C,Chr3A_411941_A / G,Chr3A_412049_G / A,Chr3A_412062_A / T,Chr3A_1416946_A / G,Chr3A_1417478_A / G,Chr3A_1417566_A / T,Chr3A_1564383_C / T,Chr3A_1690053_A / C,Chr3A_1690091_A / C,Chr3A_1690114_C / A,Chr3A_1790538_G / A,Chr3A_1791823_C / G,Chr3A_1791840_T / G,Chr3A_1791857_T / A,Chr3A_1791888_A / G,Chr3A_1794785_T / C,Chr3A_1794842_T / A,Chr3A_1794881_G / T,Chr3A_1794885_A / G,Chr3A_1794970_T / G,Chr3A_1870154_A / G,Chr3A_1870214_T / A,Chr3A_1936539_A / G,Chr3A_1936837_C / G,Chr3A_1936920_T / G,Chr3A_1937431_T / A,Chr3A_1981926_C / T,Chr3A_1981968_G / A,Chr3A_1982045_G / T,Chr3A_1982450_G / A,Chr3A_2045623_T / A,Chr3A_2047159_T / G,Chr3A_2047293_G / A,Chr3A_2047314_C / T,Chr3A_2051004_T / C,Chr3A_2051547_A / C,Chr3A_2168640_T / C,Chr3A_2202693_C / T,Chr3A_2214549_G / A,Chr3A_2214708_T / C,Chr3A_2214718_A / T,Chr3A_2215248_C / T,Chr3A_2215260_A / C,Chr3A_2224591_C / T,Chr3A_2226219_C / T,Chr3A_2226558_C / T,Chr3A_2226572_A / C,Chr3A_2226578_A / G,Chr3A_2226588_T / C,Chr3A_2226771_A / C,Chr3A_2227321_T / C,Chr3A_2228427_T / A,Chr3A_2228493_A / G,Chr3A_2246492_G / A,Chr3A_2246593_T / A,Chr3A_2248735_A / C,Chr3A_2252277_T / C,Chr3A_2252309_G / A,Chr3A_2252312_C / T,Chr3A_2252330_A / C,Chr3A_2252334_C / T,Chr3A_2252335_C / T,Chr3A_2252343_A / G,Chr3A_2252352_T / A,Chr3A_2252408_A / G,Chr3A_2252423_G / C,Chr3A_2252429_G / C,Chr3A_2252492_T / C,Chr3A_2252503_C / T,Chr3A_2252525_C / G,Chr3A_2252538_C / T,Chr3A_2252547_A / G,Chr3A_2252548_C / T,Chr3A_2252645_G / A,Chr3A_2252680_C / T,Chr3A_2252689_A / G,Chr3A_2252709_G / A,Chr3A_2252748_G / A,Chr3A_2253022_A / T,Chr3A_2272027_G / A,Chr3A_2272153_G / A,Chr3A_2272160_T / C,Chr3A_2272437_G / T,Chr3A_2272652_C / T,Chr3A_2272677_C / A,Chr3A_2272708_A / G,Chr3A_2272731_A / G,Chr3A_2272733_T / A,Chr3A_2272747_A / C,Chr3A_2272767_T / A,Chr3A_2272808_T / C,Chr3A_2272946_A / C,Chr3A_2272979_A / G,Chr3A_2273021_C / T,Chr3A_2273035_C / T,Chr3A_2273044_C / G,Chr3A_2273049_A / G,Chr3A_20785785_T / C,Chr3A_21096388_C / T,Chr3A_21431515_G / A,Chr3A_21431527_C / T,Chr3A_21431533_A / T,Chr3A_21431540_A / G,Chr3A_21431550_C / T,Chr3A_21431554_A / C,Chr3A_21901573_G / A,Chr3A_21901582_C / T,Chr3A_21940553_C / T,Chr3A_21940568_C / A,Chr3A_21940632_C / G,Chr3A_21940654_A / C,Chr3A_21940838_T / C,Chr3A_22097892_C / T,Chr3A_22098480_G / A,Chr3A_22098537_G / A,Chr3A_22379175_A / C,Chr3A_22408407_T / C,Chr3A_22645086_T / C,Chr3A_22735560_C / G,Chr3A_22735580_A / G,Chr3A_22735599_C / G,Chr3A_22735656_C / T,Chr3A_22854553_C / T,Chr3A_22854602_T / C,Chr3A_22854642_G / A,Chr3A_22880697_G / C,Chr3A_22880727_A / G,Chr3A_22897555_A / T,Chr3A_22909416_T / G,Chr3A_24487517_T / C,Chr3A_25007851_T / A,Chr3A_25226680_A / T,Chr3A_26783397_T / A,Chr3A_27849482_A / T,Chr3A_27849494_T / G,Chr3A_27849500_A / G,Chr3A_27849546_A / G,Chr3A_27849567_G / T,Chr3A_27849569_C / T,Chr3A_27849621_G / A,Chr3A_27849627_A / G,Chr3A_27849647_G / A,Chr3A_27849947_T / C,Chr3A_27929261_G / A,Chr3A_27929359_G / A,Chr3A_28867152_C / T,Chr3A_28869506_C / T,Chr3A_28873806_G / A,Chr3A_28910499_C / T,Chr3A_30841246_T / A,Chr3A_31106765_T / A,Chr3A_32549768_T / C,Chr3A_32549796_A / G,Chr3A_32550493_T / C,Chr3A_35241187_A / G,Chr3A_36226917_G / A,Chr3A_36420464_A / G,Chr3A_38418771_T / C,Chr3A_38856381_T / C,Chr3A_39020345_G / T,Chr3A_39020374_G / T,Chr3A_39020411_G / T,Chr3A_39020433_G / A,Chr3A_39020476_T / A,Chr3A_39020489_G / A,Chr3A_39020520_C / G,Chr3A_39020600_G / A,Chr3A_39020684_A / T,Chr3A_39020707_A / G,Chr3A_39020903_C / T,Chr3A_39024368_A / T,Chr3A_39024378_G / A,Chr3A_39024414_A / G,Chr3A_39024417_C / T,Chr3A_39024519_A / G,Chr3A_39024528_G / A,Chr3A_39024564_A / T,Chr3A_39024568_A / G,Chr3A_39024597_G / C,Chr3A_39024610_T / G,Chr3A_39024623_G / A,Chr3A_39024649_G / T,Chr3A_39024732_G / T,Chr3A_39024745_G / A,Chr3A_39024752_G / C,Chr3A_39024819_G / A,Chr3A_39024865_C / T,Chr3A_39024869_G / A,Chr3A_39024875_A / T,Chr3A_39025073_C / A,Chr3A_39025112_A / T,Chr3A_39025115_A / G,Chr3A_39025224_C / T,Chr3A_39025228_T / G,Chr3A_39025350_C / A,Chr3A_39025369_T / A,Chr3A_39025564_T / A,Chr3A_39025565_C / G,Chr3A_39025623_A / G,Chr3A_39025649_C / T,Chr3A_39025658_A / G,Chr3A_39025663_C / T,Chr3A_39026013_A / C,Chr3A_39026033_T / C,Chr3A_39026067_C / T,Chr3A_39026370_A / C,Chr3A_39050746_T / A,Chr3A_39050942_A / G,Chr3A_39050945_A / G,Chr3A_39087805_A / G,Chr3A_39087859_G / A,Chr3A_39087862_T / A,Chr3A_39087874_G / C,Chr3A_39101902_G / A,Chr3A_39103716_G / C,Chr3A_39789100_A / T,Chr3A_40494089_G / A,Chr3A_41086862_T / G,Chr3A_41388299_G / T,Chr3A_44003215_C / T,Chr3A_44205386_G / A,Chr3A_44397844_T / A,Chr3A_44398525_A / G,Chr3A_44657508_C / T,Chr3A_45714654_C / T,Chr3A_45737980_C / T,Chr3A_45779545_G / C,Chr3A_45779911_T / A,Chr3A_45780077_G / C,Chr3A_45780096_G / T,Chr3A_46778954_A / G,Chr3A_47211018_G / A,Chr3A_47243191_T / C,Chr3A_47251929_T / A,Chr3A_47578124_T / A,Chr3A_47966676_G / A,Chr3A_48275351_T / A,Chr3A_48275477_G / A,Chr3A_48287874_C / T,Chr3A_48292491_C / T,Chr3A_48349691_G / A,Chr3A_48349813_C / T,Chr3A_48349823_G / A,Chr3A_48349870_G / A,Chr3A_48350099_G / A,Chr3A_48350101_G / A,Chr3A_48381678_T / C,Chr3A_48381842_C / T,Chr3A_48381962_C / G,Chr3A_48464695_T / C,Chr3A_48466267_A / C,Chr3A_49181423_G / A,Chr3A_49181428_A / T,Chr3A_49183432_C / A,Chr3A_49183433_T / C,Chr3A_49183458_T / A,Chr3A_49183503_G / A,Chr3A_49183745_C / T,Chr3A_49204318_T / A,Chr3A_49209176_C / T,Chr3A_49228230_A / T,Chr3A_49228358_T / C,Chr3A_49228359_G / A,Chr3A_49247087_G / A,Chr3A_49247236_A / G,Chr3A_49250895_A / G,Chr3A_49250909_C / A,Chr3A_49250921_A / C,Chr3A_49251827_C / A,Chr3A_49251835_A / G,Chr3A_49252170_A / G,Chr3A_49253678_A / G,Chr3B_139461_C / A,Chr3B_139468_G / A,Chr3B_139496_A / G,Chr3B_139510_C / T,Chr3B_139520_C / A,Chr3B_267525_C / T,Chr3B_267535_C / A,Chr3B_337094_A / C,Chr3B_394358_T / G,Chr3B_958325_C / T,Chr3B_958337_G / A,Chr3B_958355_G / A,Chr3B_958374_G / T,Chr3B_958376_G / A,Chr3B_1789141_A / G,Chr3B_1789177_T / C,Chr3B_1789224_C / T,Chr3B_1789227_A / T,Chr3B_1789257_T / C,Chr3B_1789274_G / A,Chr3B_1795175_G / A,Chr3B_1795189_A / T,Chr3B_1795493_T / C,Chr3B_1867034_C / T,Chr3B_1867164_C / T,Chr3B_1867321_G / T,Chr3B_1929788_C / T,Chr3B_1994638_A / G,Chr3B_2123886_A / G,Chr3B_2123910_C / T,Chr3B_2123969_A / G,Chr3B_2227602_C / T,Chr3B_2227636_T / A,Chr3B_2227640_A / G,Chr3B_2227660_C / T,Chr3B_2227665_C / T,Chr3B_2343298_G / A,Chr3B_10277771_C / T,Chr3B_13295206_G / A,Chr3B_13359661_A / C,Chr3B_13880114_G / A,Chr3B_13880117_G / C,Chr3B_13980980_A / G,Chr3B_14415763_T / G,Chr3B_20882370_A / G,Chr3B_20934846_C / T,Chr3B_20935025_G / A,Chr3B_21011965_C / T,Chr3B_21011967_C / T,Chr3B_21012225_A / T,Chr3B_21012381_G / T,Chr3B_21012451_C / A,Chr3B_21012787_G / T,Chr3B_21012983_C / A,Chr3B_21013147_G / T,Chr3B_21013213_G / T,Chr3B_21013242_A / G,Chr3B_21013289_A / T,Chr3B_21013445_G / T,Chr3B_21013878_A / T,Chr3B_21014209_C / A,Chr3B_21014297_C / T,Chr3B_21246437_C / T,Chr3B_21711552_C / A,Chr3B_21718149_G / A,Chr3B_22007958_G / A,Chr3B_22069742_G / A,Chr3B_22069756_G / T,Chr3B_22672314_A / C,Chr3B_22672378_G / A,Chr3B_22808087_C / T,Chr3B_22808106_G / A,Chr3B_22808129_C / G,Chr3B_22808133_C / T,Chr3B_22808134_C / T,Chr3B_22811133_T / G,Chr3B_22831075_T / C,Chr3B_22831186_C / T,Chr3B_22832258_A / G,Chr3B_22832587_T / G,Chr3B_22835664_T / A,Chr3B_23044995_G / A,Chr3B_27478975_C / T,Chr3B_29735375_G / A,Chr3B_30202670_C / T,Chr3B_34329816_G / T,Chr3B_34329848_A / G,Chr3B_35541593_C / T,Chr3B_35550010_T / G,Chr3B_35550635_G / C,Chr3B_35713468_A / G,Chr3B_35724702_C / A,Chr3B_35724951_C / T,Chr3B_35864513_G / A,Chr3B_35864633_T / G,Chr3B_35864644_A / T,Chr3B_35864683_C / T,Chr3B_35959368_C / T,Chr3B_35959485_C / T,Chr3B_35960139_T / A,Chr3B_35960186_G / A,Chr3B_35960227_T / A,Chr3B_35960302_C / A,Chr3B_35960400_G / C,Chr3B_35960517_C / A,Chr3B_36162329_T / A,Chr3B_36179786_T / C,Chr3B_36180382_G / T,Chr3B_36180777_C / T,Chr3B_36180925_C / T,Chr3B_36181437_C / T,Chr3B_36182129_T / C,Chr3B_36182305_C / T,Chr3B_36182361_T / C,Chr3B_36182471_G / A,Chr3B_36182752_G / A,Chr3B_36182781_G / T,Chr3B_36182910_C / A,Chr3B_36183247_G / A,Chr3B_36188491_G / T,Chr3B_36201586_G / A,Chr3B_36296101_T / C,Chr3B_36372981_T / C,Chr3B_36373044_G / C,Chr3B_36373130_A / C,Chr3B_36373619_C / T,Chr3B_36374727_T / A,Chr3B_36478510_A / C,Chr3B_36478522_T / C,Chr3B_36478642_G / A,Chr3B_36919025_C / T,Chr3B_36919151_C / T,Chr3B_36984458_T / G,Chr3B_36985565_G / T,Chr3B_36987446_A / C,Chr3B_36989427_C / A,Chr3B_37124869_C / T,Chr3B_37172177_A / G,Chr3B_37185492_C / T,Chr3B_37186014_C / G,Chr3B_37186076_G / A,Chr3B_37187981_C / G,Chr3B_37218473_C / T,Chr3B_37221545_A / G,Chr3B_37221577_G / T,Chr3B_37221592_G / A,Chr3B_37426806_T / C,Chr3B_37426809_T / G,Chr3B_37464955_C / T,Chr3B_37465993_C / T,Chr3B_37466554_G / T,Chr3B_37466633_T / C,Chr3B_37466696_T / C,Chr3B_37466738_T / C,Chr3B_37466791_A / T,Chr3B_37466865_C / T,Chr3B_37466866_G / A,Chr3B_37467143_G / A,Chr3B_37467158_C / A,Chr3B_37467171_G / A,Chr3B_37467234_G / A,Chr3B_37467408_G / C,Chr3B_37467781_C / A,Chr3B_37467921_G / A,Chr3B_37467999_G / A,Chr3B_37468214_C / T,Chr3B_37468216_C / T,Chr3B_37468219_G / A,Chr3B_37468229_G / A,Chr3B_37583244_A / T,Chr3B_37583252_G / A,Chr3B_37663114_T / C,Chr3B_37663191_C / T,Chr3B_40569753_C / T,Chr3B_40569840_A / T,Chr3B_40569844_A / T,Chr3B_40639046_G / T,Chr3B_40639110_C / T,Chr3B_40673062_A / G,Chr3B_40687727_C / T,Chr3B_40699854_A / G,Chr3B_40699860_A / T,Chr3B_40705237_C / T,Chr3B_40969390_G / T,Chr3B_40969393_G / A,Chr3B_41053039_C / T,Chr3B_41065091_C / T,Chr3B_41072621_G / A,Chr3B_41073822_C / T,Chr3B_41335793_C / T,Chr3B_41581979_A / G,Chr3B_41998295_C / T,Chr3B_42023271_A / C,Chr3B_42023311_G / A,Chr3B_42023312_G / A,Chr3B_42025161_C / A,Chr3B_42026379_C / T,Chr3B_42026501_T / G,Chr3B_42026594_G / A,Chr3B_42026649_G / A,Chr3B_42082003_G / T,Chr3B_42082107_C / T,Chr3B_42082172_A / C,Chr3B_42082376_C / T,Chr3B_42082547_A / T,Chr3B_42082607_G / T,Chr3B_42082613_C / G,Chr3B_42082813_C / T,Chr3B_42091286_G / A,Chr3B_42091715_T / A,Chr3B_42530036_A / T,Chr3B_42530071_G / A,Chr3B_42530242_C / T,Chr3B_42530770_T / A,Chr3B_42530834_G / A,Chr3B_42531043_T / A,Chr3B_42531057_C / T,Chr3B_42531303_A / T,Chr3B_42532210_C / T,Chr3B_42532235_C / T,Chr3B_42532345_G / A,Chr3B_42532425_C / T,Chr3B_42532449_G / A,Chr3B_42532527_G / A,Chr3B_42532544_G / T,Chr3B_42532599_G / A,Chr3B_42532621_G / A,Chr3B_42532785_A / C,Chr3B_42532871_C / A,Chr3B_42532915_G / A,Chr3B_42532918_G / A,Chr3B_42537490_C / T,Chr3B_42541490_G / A,Chr3B_42541955_T / G,Chr3B_42542511_G / C,Chr3B_42542896_A / G,Chr3B_42563120_A / C,Chr3B_42691607_T / C,Chr3B_42692945_C / A,Chr3B_42693095_C / A,Chr3B_42693173_C / T,Chr3B_42693782_T / A,Chr3B_42694241_C / A,Chr3B_42822528_G / A,Chr3B_42822819_A / C,Chr3B_43064806_C / T,Chr3B_43094069_C / T,Chr3B_43097668_G / A,Chr3B_43476758_C / G,Chr3B_43579689_C / T,Chr3B_43579819_C / T,Chr3B_43579841_T / A,Chr3B_43581329_G / A,Chr3B_43581671_A / G,Chr3B_43581797_C / G,Chr3B_43581827_G / A,Chr3B_43595772_A / G,Chr3B_43726855_C / G,Chr3B_43914124_C / T,Chr3B_43914167_G / A,Chr3B_43979142_G / A,Chr3B_43979177_G / A,Chr3B_43979204_T / C,Chr3B_43999799_T / C,Chr3B_44022044_G / A,Chr3B_44057288_C / T,Chr3B_44491293_C / A,Chr3B_44502407_G / A,Chr3B_44502520_G / A,Chr3B_44502528_G / A,Chr3B_44502536_G / A,Chr3B_44627794_T / A,Chr3B_44756510_C / A,Chr3B_44811038_G / A,Chr3B_44811212_G / A,Chr3B_44819467_C / T,Chr3B_45090565_C / A,Chr3B_45352219_T / A,Chr3B_45355507_T / A,Chr3B_45766816_C / T,Chr3B_45766944_G / A,Chr3B_45767011_G / A,Chr3B_45767058_C / T,Chr3B_45767147_T / C,Chr3B_45767183_C / T,Chr3B_45767253_C / T,Chr3B_45767261_C / A,Chr3B_45767440_C / A,Chr3B_46347381_C / T,Chr3B_46469938_T / A,Chr3B_46548531_G / A,Chr3B_46655972_C / G,Chr3B_46655983_G / A,Chr3B_46656157_C / T,Chr3B_46663761_A / G,Chr3B_46663995_C / A,Chr3B_47321052_T / G,Chr4A_1262831_G / T,Chr4A_1262848_C / A,Chr4A_1282373_G / T,Chr4A_1606700_T / A,Chr4A_7792414_A / G,Chr4A_14492899_C / T,Chr4A_15932296_T / A,Chr4A_16444257_T / C,Chr4A_20281211_C / T,Chr4A_20347708_A / G,Chr4A_20818737_G / T,Chr4A_22186021_C / A,Chr4A_22186034_C / T,Chr4A_22186044_C / A,Chr4A_22186055_A / G,Chr4A_22186064_C / T,Chr4A_22186081_A / G,Chr4A_32507907_T / C,Chr4A_38131629_C / T,Chr4A_39082878_G / T,Chr4A_39082909_T / C,Chr4A_39082917_T / C,Chr4A_39082949_C / T,Chr4A_39082953_G / C,Chr4A_39082958_T / C,Chr4A_39082959_G / T,Chr4A_39082978_T / C,Chr4A_39083435_T / C,Chr4A_39086743_A / G,Chr4A_41207694_C / G,Chr4A_41207697_C / T,Chr4A_41207702_C / T,Chr4A_41210107_G / A,Chr4A_41665685_C / T,Chr4A_41853275_A / G,Chr4A_41896439_C / T,Chr4A_42383011_A / T,Chr4A_43769467_T / G,Chr4A_48303729_T / G,Chr4A_60735332_T / A,Chr4A_61973528_A / T,Chr4A_61973570_G / C,Chr4A_64013688_A / T,Chr4B_5283050_C / A,Chr4B_12690240_C / T,Chr4B_12690799_C / T,Chr4B_12690820_C / T,Chr4B_12690821_A / G,Chr4B_12690823_C / T,Chr4B_12690882_G / A,Chr4B_13961038_T / G,Chr4B_16537551_G / T,Chr4B_16537556_C / A,Chr4B_16537559_T / C,Chr4B_16595899_C / T,Chr4B_16628055_C / T,Chr4B_16628202_C / T,Chr4B_16628238_C / G,Chr4B_16637517_C / T,Chr4B_16638007_A / G,Chr4B_16638017_G / T,Chr4B_16638034_A / C,Chr4B_16638102_A / G,Chr4B_16638103_C / T,Chr4B_16638201_A / G,Chr4B_16638308_T / A,Chr4B_16642354_T / A,Chr4B_16642394_A / G,Chr4B_16642481_A / G,Chr4B_30290137_G / C,Chr4B_37436762_T / A,Chr4B_38257753_T / C,Chr4B_38769199_C / T,Chr4B_38769205_T / C,Chr4B_48440618_C / T,Chr4B_48450088_T / G,Chr4B_53054528_A / T,Chr5A_62797_G / T,Chr5A_131064_G / A,Chr5A_6585833_G / A,Chr5A_8020109_T / C,Chr5A_8020139_C / T,Chr5A_8849475_C / A,Chr5A_8849477_A / G,Chr5A_8849481_T / C,Chr5A_8849488_C / T,Chr5A_12790710_G / A,Chr5A_13308941_G / A,Chr5A_13557821_C / T,Chr5A_13712264_C / T,Chr5A_13762325_G / A,Chr5A_13762337_C / T,Chr5A_13762360_G / A,Chr5A_13762364_T / C,Chr5A_13762446_C / T,Chr5A_13762454_T / C,Chr5A_13762462_G / A,Chr5A_13762466_T / C,Chr5A_13775131_A / T,Chr5A_13775135_A / T,Chr5A_13775274_C / A,Chr5A_13775275_C / A,Chr5A_13781136_G / T,Chr5A_13781155_G / A,Chr5A_13782222_A / T,Chr5A_13782307_C / T,Chr5A_13798538_T / C,Chr5A_13887975_G / T,Chr5A_13888039_A / G,Chr5A_13895240_T / C,Chr5A_13922195_G / T,Chr5A_14004070_C / G,Chr5A_14004147_A / G,Chr5A_14004235_T / G,Chr5A_14063991_C / T,Chr5A_14066457_G / A,Chr5A_14335886_T / A,Chr5A_14590849_T / C,Chr5A_14854001_G / C,Chr5A_14975008_G / A,Chr5A_14975034_C / G,Chr5A_14975370_C / T,Chr5A_15196038_T / A,Chr5A_15738687_A / T,Chr5A_15754986_A / T,Chr5A_15853690_T / G,Chr5A_15853719_G / A,Chr5A_15880145_G / A,Chr5A_15880257_C / T,Chr5A_15880267_C / A,Chr5A_15887233_T / C,Chr5A_15902687_A / G,Chr5A_15903684_C / T,Chr5A_15903760_G / A,Chr5A_15910821_C / T,Chr5A_15910828_C / T,Chr5A_15910829_G / A,Chr5A_15916258_T / C,Chr5A_15958874_G / T,Chr5A_16659512_T / A,Chr5A_16970807_G / A,Chr5A_17043874_A / G,Chr5A_17044236_C / T,Chr5A_17071270_C / T,Chr5A_17252429_T / A,Chr5A_17252470_C / T,Chr5A_17252490_C / T,Chr5A_17372584_C / T,Chr5A_17372592_G / A,Chr5A_21058063_C / T,Chr5A_21501668_C / T,Chr5A_21714995_T / C,Chr5A_21808828_G / A,Chr5A_21824241_A / G,Chr5A_21849435_C / G,Chr5A_21852957_C / T,Chr5A_21860088_T / A,Chr5A_21860103_G / A,Chr5A_21861626_G / A,Chr5A_21861634_G / A,Chr5A_21866402_G / A,Chr5A_21917978_C / T,Chr5A_21917980_T / G,Chr5A_24661684_C / T,Chr5A_24661750_G / A,Chr5A_24661758_G / A,Chr5A_24661765_C / T,Chr5A_24661830_G / A,Chr5A_24923550_A / C,Chr5A_29220802_C / T,Chr5A_29313622_A / G,Chr5A_29315885_C / T,Chr5A_29629035_C / T,Chr5A_29629045_G / A,Chr5A_29629083_G / A,Chr5A_29629120_T / C,Chr5A_29703868_T / A,Chr5A_29703871_G / A,Chr5A_29703915_A / T,Chr5A_29703932_C / T,Chr5A_29703958_T / G,Chr5A_29704051_T / C,Chr5A_29704071_T / A,Chr5A_29704155_C / A,Chr5A_29704734_G / A,Chr5A_29704862_T / C,Chr5A_29704881_T / C,Chr5A_30829446_C / T,Chr5A_30829508_G / A,Chr5A_31131885_C / T,Chr5A_32758587_T / C,Chr5A_34192882_C / G,Chr5A_34395321_C / T,Chr5A_34847917_A / G,Chr5A_34970685_T / A,Chr5A_34982006_G / T,Chr5A_35011570_T / C,Chr5A_35011693_A / T,Chr5A_35011694_C / A,Chr5A_35011697_T / C,Chr5A_35011822_T / C,Chr5A_35158045_G / C,Chr5A_35160458_T / G,Chr5A_35160474_C / T,Chr5A_35249587_G / T,Chr5A_35249588_A / C,Chr5A_35249626_T / A,Chr5A_35249635_C / T,Chr5A_35249653_T / C,Chr5A_35249684_A / G,Chr5A_35250124_T / C,Chr5A_35250488_G / A,Chr5A_35250707_T / C,Chr5A_35250870_A / C,Chr5A_35253011_T / C,Chr5A_35253463_G / A,Chr5A_35253864_C / A,Chr5A_35253929_A / G,Chr5A_35253948_A / G,Chr5A_35254047_A / G,Chr5A_35254070_G / A,Chr5A_35254091_C / T,Chr5A_35254101_G / A,Chr5A_35254116_A / G,Chr5A_35254121_G / C,Chr5A_35254228_T / C,Chr5A_35254243_G / A,Chr5A_35254248_A / G,Chr5A_35254267_A / G,Chr5A_35255058_C / T,Chr5A_35262712_T / C,Chr5A_35369003_T / G,Chr5A_35470323_T / C,Chr5A_35846050_T / C,Chr5A_35863286_G / A,Chr5A_35864435_C / T,Chr5A_35864709_C / A,Chr5A_35865495_A / C,Chr5A_35866234_C / T,Chr5A_35866334_A / T,Chr5A_35869147_G / A,Chr5A_35869196_C / G,Chr5A_35869320_T / C,Chr5A_35869329_C / T,Chr5A_36240592_T / G,Chr5A_36241947_C / T,Chr5A_36243067_T / A,Chr5A_36243650_A / T,Chr5A_36243762_G / A,Chr5A_36243885_G / T,Chr5A_36247439_A / G,Chr5A_36251754_C / T,Chr5A_36252302_T / A,Chr5A_36252319_G / C,Chr5A_36252320_A / T,Chr5A_36255432_G / A,Chr5A_36255453_T / A,Chr5A_37101314_C / T,Chr5A_37524507_A / G,Chr5A_37671945_A / C,Chr5A_37692384_T / A,Chr5A_37694388_A / G,Chr5A_37694391_T / C,Chr5A_37694398_A / G,Chr5A_37694531_C / A,Chr5A_37694537_G / A,Chr5A_37694584_A / T,Chr5A_37694596_G / A,Chr5A_37694599_G / A,Chr5A_37705279_T / A,Chr5A_37729416_T / C,Chr5A_37729484_A / G,Chr5A_37729508_G / A,Chr5A_37729517_A / C,Chr5A_37729546_C / T,Chr5A_37736274_C / T,Chr5A_41567422_C / T,Chr5A_41568998_G / A,Chr5A_43011993_C / T,Chr5A_43011994_G / T,Chr5A_49209952_T / C,Chr5A_49210252_A / G,Chr5A_49210254_T / C,Chr5A_49595695_T / C,Chr5A_50252206_G / A,Chr5A_51000502_A / G,Chr5A_52508389_G / A,Chr5A_52508391_T / C,Chr5A_54602098_C / T,Chr5A_54602108_C / A,Chr5A_54602119_C / T,Chr5A_54602166_G / A,Chr5A_54602177_A / G,Chr5A_54602232_C / T,Chr5A_64614573_G / A,Chr5A_64713158_G / T,Chr5A_64713160_A / T,Chr5A_66819966_G / A,Chr5A_66823064_C / T,Chr5A_84263777_A / T,Chr5A_87060132_T / A,Chr5B_4535534_T / A,Chr5B_10613828_C / A,Chr5B_12420918_G / A,Chr5B_12421355_A / T,Chr5B_12421356_C / G,Chr5B_15081520_A / T,Chr5B_15082266_A / G,Chr5B_15082504_A / G,Chr5B_15082510_G / T,Chr5B_15327124_G / A,Chr5B_16023243_A / G,Chr5B_20697734_C / T,Chr5B_28608164_T / A,Chr5B_29093264_G / A,Chr5B_29093401_G / A,Chr5B_29093406_G / A,Chr5B_29093596_G / A,Chr5B_29094043_C / T,Chr5B_29094161_C / T,Chr5B_29094347_G / C,Chr5B_30156616_A / G,Chr5B_30593216_C / G,Chr5B_32631581_C / T,Chr5B_32766230_G / A,Chr5B_32789167_A / G,Chr5B_33299445_T / A,Chr5B_33299561_G / C,Chr5B_3329 9565_G / T,Chr5B_33558738_G / A,Chr5B_33902155_C / T,Chr5B_33902165_A / G,Chr5B_33902173_T / C,Chr5B_33965909_T / C,Chr5B_33965933_C / T,Ch r5B_33965949_A / G,Chr5B_33965967_A / T,Chr5B_34303090_A / T,Chr5B_34900291_T / C,Chr5B_34900315_T / C,Chr5B_34900323_G / A,Chr5B_34900335_G / A,Chr5B_34900578_C / T,Chr5B_34900580_G / A,Chr5B_34900887_A / T,Chr5B_34902324_G / A,Chr5B_34902372_A / C,Chr5B_34902381_G / A,Chr5B _34902521_A / T,Chr5B_35883106_C / T,Chr5B_36736951_T / C,Chr5B_36953930_A / G,Chr5B_36954837_C / A,Chr5B_43363766_C / A,Chr5B_44074313_A / G,Chr5B_44512510_A / C,Chr5B_58995772_C / T,Chr5B_59126641_A / T,Chr5B_62073498_C / T,Chr5B_62977994_C / A,Chr5B_67974129_T / A,Chr5B_6 7974695_T / A,Chr5B_68538612_T / C,Chr5B_75358699_C / A,Chr5B_83798727_C / A,Chr5B_85796554_G / A,Chr6A_1541686_T / C,Chr6A_2860810_C / T,C hr6A_2875451_C / G,Chr6A_3014477_C / A,Chr6A_3014659_G / A,Chr6A_3014734_C / T,Chr6A_3018929_C / T,Chr6A_3035863_C / T,Chr6A_3035876_A / C,Chr6A_3035889_G / A,Chr6A_3035890_G / T,Chr6A_3035897_C / G,Chr6A_3035900_A / G,Chr6A_3035910_C / A,Chr6A_3035917_C / A,Chr6A_3035927_C / G,Chr6A_3035930_C / T,Chr6A_3035966_A / G,Chr6A_3036059_G / A,Chr6A_3036471_T / C,Chr6A_3036473_A / G,Chr6A_3036486_C / A,Chr6A_3036523_A / G,Chr6A_3036547_G / A,Chr6A_3036571_G / A,Chr6A_3036641_G / C,Chr6A_3036649_A / T,Chr6A_3036657_T / A,Chr6A_3036659_T / G,Chr6A_3213738_G / A,Chr6A_3305905_G / A,Chr6A_3373573_C / T,Chr6A_3373600_A / C,Chr6A_3373601_A / T,Chr6A_3408530_A / C,Chr6A_3408572_T / C,Chr6A_3411154_A / G,Chr6A_6412169_T / A,Chr6A_6412710_G / T,Chr6A_6412773_A / G,Chr6A_6414525_T / G,Chr6A_7545939_T / A,Chr6A_7546055_T / C,Chr6A_7546073_C / T,Chr6A_7668435_T / G,Chr6A_7855871_G / A,Chr6A_7966523_C / T,Chr6A_7974697_C / T,Chr6A_8073716_G / A,Chr6A_8093552_C / T,Chr6A_8093554_C / T,Chr6A_8094671_G / A,Chr6A_8181674_A / G,Chr6A_8181684_T / C,Chr6A_8223156_C / T,Chr6A_8223166_G / A,Chr6A_8223387_G / A,Chr6A_8223417_G / T,Chr6A_8237417_T / C,Chr6A_8237880_G / A,Chr6A_8237954_T / C,Chr6A_8239149_C / A,Chr6A_8239171_A / C,Chr6A_8239536_C / A,Chr6A_8240450_G / A,Chr6A_8241363_G / T,Chr6A_8241386_A / G,Chr6A_8241392_A / G,Chr6A_8241468_C / T,Chr6A_8241652_C / T,Chr6A_8366367_C / T,Chr6A_8838192_G / A,Chr6A_11558666_C / T,Chr6A_27918302_T / C,Chr6A_40166594_T / C,Chr6A_40166632_G / A,Chr6A_40166636_A / G,Chr6A_58899139_G / A,Chr6A_61362688_C / T,Chr6A_63082353_C / T,Chr6A_63082441_A / G,Chr6A_63102649_G / A,Chr6A_63103037_G / A,Chr6A_63125014_G / C,Chr6A_63133250_T / C,Chr6A_63140278_C / T,Chr6A_63174694_C / G,Chr6A_63306827_C / T,Chr6A_63370031_A / G,Chr6A_63815051_G / A,Chr6A_66429668_G / C,Chr6A_66459442_T / C,Chr6A_66835945_T / C,Chr6A_66949388_C / T,Chr6A_66952443_G / A,Chr6A_67018109_G / A,Chr6A_67019067_T / G,Chr6A_67052079_T / C,Chr6A_67116288_A / C,Chr6A_67130948_G / A,Chr6A_68023903_C / G,Chr6A_68160198_G / A,Chr6A_68272965_C / T,Chr6A_68272967_G / A,Chr6A_68274240_C / T,Chr6B_502180_C / T,Chr6B_739692_C / T,Chr6B_1259799_C / T,Chr6B_1601076_G / T,Chr6B_1635891_A / T,Chr6B_1823275_G / T,Chr6B_1823385_G / T,Chr6B_1829435_A / G,Chr6B_1829935_A / G,Chr6B_1831799_C / T,Chr6B_1831804_T / G,Chr6B_1832286_C / T,Chr6B_1832294_C / T,Chr6B_1832471_A / G,Chr6B_1832756_C / A,Chr6B_1944910_C / A,Chr6B_2017897_T / C,Chr6B_3492199_G / T,Chr6B_4279936_T / C,Chr6B_4280028_C / G,Chr6B_5668125_C / T,Chr6B_6027291_C / A,Chr6B_10346584_T / C,Chr6B_13059232_T / C,Chr6B_13059242_A / G,Chr6B_17338311_G / A,Chr6B_21519176_T / G,Chr6B_21520858_A / G,Chr6B_21527872_T / A,Chr6B_21527877_A / G,Chr6B_21529628_G / A,Chr6B_21529652_A / C,Chr6B_21529701_A / G,Chr6B_21529706_T / C,Chr6B_21529757_A / T,Chr6B_21529782_C / T,Chr6B_21530636_A / G,Chr6B_21532541_A / C,Chr6B_21533839_A / G,Chr6B_21533998_A / G,Chr6B_22924871_C / T,Chr6B_34707392_A / G,Chr6B_39759163_C / T,Chr6B_50391046_G / A,Chr6B_50391131_G / A,Chr6B_51869496_C / T,Chr6B_53935254_A / C,Chr6B_59210324_G / A,Chr6B_59897150_T / A,Chr7A_4328850_C / T,Chr7A_4329126_C / T,Chr7A_4348550_C / T,Chr7A_4348606_A / G,Chr7A_4595922_T / G,Chr7A_4615072_A / C,Chr7A_4615159_C / G,Chr7A_4633828_T / C,Chr7A_4684920_G / C,Chr7A_4697881_C / T,Chr7A_4703556_A / C,Chr7A_4703867_A / G,Chr7A_4704110_A / G,Chr7A_4711004_T / C,Chr7A_4718957_C / T,Chr7A_4719850_C / A,Chr7A_4739953_C / A,Chr7A_4739997_G / A,Chr7A_4772573_A / G,Chr7A_4811018_C / T,Chr7A_4815156_G / A,Chr7A_4816582_T / C,Chr7A_4817830_T / C,Chr7A_4817934_C / A,Chr7A_4825364_C / A,Chr7A_4825372_A / G,Chr7A_4825431_C / T,Chr7A_4827694_G / C,Chr7A_4849656_G / A,Chr7A_4870179_G / A,Chr7A_4906738 _C / T,Chr7A_4906832_C / T,Chr7A_4908850_T / A,Chr7A_4939905_A / T,Chr7A_4969646_A / G,Chr7A_5030601_C / A,Chr7A_5030634_G / A,Chr7A_5043829_A / G,Chr7A_5043965_C / T,Chr7A_5145441_C / G,Chr7A_5154598_A / C,Chr7A_5172898_C / T,Chr7A_5172939_A / C,Chr7A_5172955_A / G,Chr7A_522 0158_T / G,Chr7A_5230360_T / C,Chr7A_5259700_G / A,Chr7A_5260288_G / A,Chr7A_5260431_G / T,Chr7A_5260499_G / A,Chr7A_5283019_C / T,Chr7A_5325626_G / A,Chr7A_5326583_C / T,Chr7A_5354518_T / C,Chr7A_5408555_A / T,Chr7A_5411823_C / A,Chr7A_5449264_T / C,Chr7A_5471613_G / A,Chr7 A_5471978_C / T,Chr7A_5472678_G / T,Chr7A_5476053_G / A,Chr7A_5484458_C / T,Chr7A_5494029_A / G,Chr7A_5527505_G / A,Chr7A_5542064_T / C,Chr7A_5546398_C / A,Chr7A_5549192_C / T,Chr7A_5549202_G / T,Chr7A_5550636_A / G,Chr7A_5557515_T / G,Chr7A_5575573_T / C,Chr7A_5601941_C / A,Chr7A_5616731_C / A,Chr7A_5617515_G / A,Chr7A_5618317_G / A,Chr7A_5633584_T / C,Chr7A_5694943_T / A,Chr7A_5694968_T / C,Chr7A_5695004_A / T,Chr7A_5715626_G / A,Chr7A_5718827_G / C,Chr7A_5719315_G / A,Chr7A_5720232_T / G,Chr7A_5764346_C / A,Chr7A_5764481_A / G,Chr7A_5764827 _G / A,Chr7A_5814356_T / C,Chr7A_5814507_C / T,Chr7A_5848951_C / T,Chr7A_5849008_G / A,Chr7A_5867845_A / G,Chr7A_5873803_A / C,Chr7A_5910836_C / T,Chr7A_5923961_T / C,Chr7A_5923977_A / T,Chr7A_5923991_C / A,Chr7A_5923995_T / G,Chr7A_6001381_G / A,Chr7A_6011576_C / G,Chr7A_601 1590_A / G,Chr7A_6019316_G / A,Chr7A_6333995_G / A,Chr7A_6343989_A / C,Chr7A_6375085_C / T,Chr7A_6435099_C / T,Chr7A_6509433_C / T,Chr7A_6540743_A / T,Chr7A_6540765_C / T,Chr7A_6540779_C / T,Chr7A_6632670_T / C,Chr7A_6666451_T / C,Chr7A_6880507_A / G,Chr7A_6882908_G / A,Chr7 A_7037148_G / A,Chr7A_7134920_T / C,Chr7A_7135747_T / C,Chr7A_7240130_G / A,Chr7A_7249442_A / G,Chr7A_7382875_A / T,Chr7A_7474661_T / C,Chr7A_7474662_T / C,Chr7A_7658096_G / T,Chr7A_7671600_C / T,Chr7A_7721585_A / G,Chr7A_7773995_G / T,Chr7A_7994532_A / T,Chr7A_8072372_A / G,Chr7A_8108681_A / T,Chr7A_8217855_T / C,Chr7A_8390796_A / G,Chr7A_8391245_T / C,Chr7A_8391420_G / T,Chr7A_8391427_C / A,Chr7A_8393348_C / T,Chr7A_8525413_A / G,Chr7A_8535940_C / T,Chr7A_8536008_G / A,Chr7A_8641961_A / G,Chr7A_8846230_G / A,Chr7A_8962777_T / G,Chr7A_9081875_G / T,Chr7A_9144143_A / G,Chr7A_9198017_C / A,Chr7A_9224244_A / G,Chr7A_9441389_C / T,Chr7A_9556140_C / A,Chr7A_9704542_A / G,Chr7A_9740803_G / A,Chr7A_9768600_C / T,Chr7A_9817478_C / T,Chr7A_9846052_G / C,Chr7A_9846061_G / T,Chr7A_9877986_T / A,Chr7A_10012364_G / A,Chr7A_1022661 1_T / C,Chr7A_10226689_A / C,Chr7A_10226691_G / A,Chr7A_10298958_G / A,Chr7A_10298969_C / T,Chr7A_10299024_G / T,Chr7A_10444884_C / T,Chr7A_10452092_G / T,Chr7A_10453507_G / A,Chr7A_10490760_G / A,Chr7A_10491593_C / T,Chr7A_10537023_C / T,Chr7A_10561032_G / C,Chr7A_10571115_T / C,Chr7A_10715677_C / T,Chr7A_11112653_G / A,Chr7A_11281796_A / G,Chr7A_11282085_T / C,Chr7A_11384789_G / A,Chr7A_11384851_T / C,Chr7A_11495349_G / C,Chr7A_11578162_T / C,Chr7A_11595673_G / A,Chr7A_11595685_C / T,Chr7A_11778844_C / A,Chr7A_11780151_C / T,Chr7A_11780163_G / A,Chr7A_11780167_C / T,Chr7A_11792461_G / A,Chr7A_11792505_G / A,Chr7A_11792518_G / T,Chr7A_12283432_C / T,Chr7A_12284516_G / A,Chr7A_12284714_G / A,Chr7A_12316771_G / A,Chr7A_12707326_G / A,Chr7A_12750436_T / G,Chr7A_12750487_G / T,Chr7A_12751816_T / G,Chr7A_12751817_A / G, Chr7A_12757574_T / C,Chr7A_12768170_T / A,Chr7A_12768203_C / T,Chr7A_12768314_A / T,Chr7A_12769404_T / C,Chr7A_12780686_G / A,Chr7A_12803136_C / T,Chr7A_12845061_A / G,Chr7A_12846072_C / A,Chr7A_12846113_G / A,Chr7A_12886830_A / T,Chr7A_12886871_C / T,Chr7A_12945263_T / G, Chr7A_12973276_C / T,Chr7A_13148818_C / T,Chr7A_13197343_A / G,Chr7A_13661395_C / A,Chr7A_14061369_A / G,Chr7A_14110874_A / T,Chr7A_14147261_T / C,Chr7A_14226768_C / A,Chr7A_14292785_T / G,Chr7A_14582914_G / A,Chr7A_14622906_C / T,Chr7A_14714698_C / T,Chr7A_14720096_T / C, Chr7A_14720259_A / T,Chr7A_14792191_G / T,Chr7A_14913303_T / A,Chr7A_14922475_T / G,Chr7A_14943023_T / C,Chr7A_14943073_T / C,Chr7A_14950684_G / A,Chr7A_14950698_G / A,Chr7A_14950728_C / T,Chr7A_14960271_C / G,Chr7A_14960272_A / G,Chr7A_14974399_C / A,Chr7A_15242977_C / G,Chr7A_15288842_C / T,Chr7A_15288858_C / G,Chr7A_15288911_C / T,Chr7A_15367102_T / C,Chr7A_15367183_C / T,Chr7A_15397303_G / A,Chr7A_15694222_A / G,Chr7A_15694845_A / T,Chr7A_15695281_T / G,Chr7A_15695644_A / G,Chr7A_15696717_C / T,Chr7A_15696965_C / A,Chr7A_15697150_G / T, Chr7A_15746249_C / A,Chr7A_15988273_G / A,Chr7A_16039473_G / A,Chr7A_16040429_A / G,Chr7A_16042114_G / A,Chr7A_16088586_C / G,Chr7A_16094500_A / G,Chr7A_16108661_A / T,Chr7A_16108706_A / G,Chr7A_16109223_T / A,Chr7A_16109286_C / G,Chr7A_16109313_T / C,Chr7A_16109314_A / C, Chr7A_16126996_T / G,Chr7A_16149274_C / A,Chr7A_16150219_C / G,Chr7A_16158396_T / A,Chr7A_16160350_C / A,Chr7A_16160351_G / A,Chr7A_16205946_T / G,Chr7A_16205960_T / C,Chr7A_16216084_A / G,Chr7A_16226618_C / G,Chr7A_16230900_G / A,Chr7A_16232060_T / A,Chr7A_16233808_C / A, Chr7A_16234936_G / A,Chr7A_16235002_C / G,Chr7A_16235012_G / T,Chr7A_16300500_G / A,Chr7A_16410415_A / C,Chr7A_16452853_A / T,Chr7A_16488873_G / A,Chr7A_16530092_T / A,Chr7A_16530143_A / T,Chr7A_16585660_C / T,Chr7A_16738428_T / C,Chr7A_16751840_C / T,Chr7A_16855132_A / T,Chr7A_16868099_C / T,Chr7A_17091529_C / T,Chr7A_17111104_A / G,Chr7A_17113039_T / A,Chr7A_17113054_T / C,Chr7A_17123076_T / C,Chr7A_17179242_C / A,Chr7A_17179527_G / A,Chr7A_17288220_C / G,Chr7A_17299702_C / T,Chr7A_17319801_G / A,Chr7A_17319902_G / C,Chr7A_17320370_T / C, Chr7A_17320389_A / G,Chr7A_17333502_C / G,Chr7A_17406544_G / T,Chr7A_17406548_C / T,Chr7A_17406558_T / A,Chr7A_17406561_C / T,Chr7A_17548583_C / T,Chr7A_17578752_T / C,Chr7A_17578762_C / T,Chr7A_17665088_T / C,Chr7A_17693192_G / T,Chr7A_17693260_C / T,Chr7A_17699410_C / T, Chr7A_17699413_G / C,Chr7A_17756224_T / A,Chr7A_17781015_A / C,Chr7A_17781157_A / T,Chr7A_17781259_T / G,Chr7A_17784031_A / G,Chr7A_17786221_T / C,Chr7A_17813967_T / C,Chr7A_17822892_C / G,Chr7A_17829600_C / T,Chr7A_17829692_T / C,Chr7A_17831383_C / T,Chr7A_17835169_G / T, Chr7A_17857197_A / G,Chr7A_17860040_T / C,Chr7A_17870672_G / A,Chr7A_17938796_G / C,Chr7A_17939909_C / A,Chr7A_17940685_C / T,Chr7A_17941994_C / T,Chr7A_17949330_T / G,Chr7A_17986420_A / G,Chr7A_18003035_C / T,Chr7A_18032770_G / A,Chr7A_18071414_T / C,Chr7A_18246518_T / C,Chr7A_18256967_A / G,Chr7A_18532502_C / T,Chr7A_18532581_G / A,Chr7A_18532661_G / A,Chr7A_18578000_G / C,Chr7A_18578537_A / T,Chr7A_18582870_G / A,Chr7A_18582894_T / G,Chr7A_18582897_A / G,Chr7A_18584394_C / T,Chr7A_18584440_C / A,Chr7A_18587130_T / A,Chr7A_18609227_G / A, Chr7A_18678254_T / G,Chr7A_18731026_C / T,Chr7A_18789693_C / T,Chr7A_18789718_G / A,Chr7A_18790322_G / A,Chr7A_18790326_G / A,Chr7A_18828804_G / T,Chr7A_18829218_G / T,Chr7A_19510929_C / T,Chr7A_19511709_T / C,Chr7A_19533149_T / A,Chr7A_19703919_T / A,Chr7A_19704781_A / T, Chr7A_20475784_G / A,Chr7A_21356777_G / A,Chr7A_24189197_A / C,Chr7A_24229344_C / T,Chr7A_24229629_G / T,Chr7A_24621064_C / A,Chr7A_24621067_G / A,Chr7A_25082788_C / T,Chr7A_26274727_G / A,Chr7A_27161404_C / T,Chr7A_27278238_G / A,Chr7A_27368218_A / T,Chr7A_27510051_G / A, Chr7A_27510091_G / A,Chr7A_27510180_C / T,Chr7A_27510315_T / G,Chr7A_27538502_T / A,Chr7A_27541437_T / A,Chr7A_27541442_G / C,Chr7A_27541446_C / T,Chr7A_27541513_G / A,Chr7A_27541534_T / C,Chr7A_27541823_G / T,Chr7A_27541970_C / T,Chr7A_27552165_A / G,Chr7A_27719498_T / C,Chr7A_27719584_T / A,Chr7A_27969362_C / A,Chr7A_28587762_C / T,Chr7A_28596717_T / C,Chr7A_28616903_G / C,Chr7A_28616984_C / T,Chr7A_29212759_T / C,Chr7A_29212770_G / A,Chr7A_29225838_A / G,Chr7A_29233545_A / G,Chr7A_29923656_C / T,Chr7A_31144471_C / T,Chr7A_31465584_G / A, Chr7A_31759368_T / C,Chr7A_32411150_G / T,Chr7A_33094280_C / T,Chr7A_34234729_T / C,Chr7A_34750468_T / C,Chr7A_35148841_C / T,Chr7A_35369477_G / C,Chr7A_35369489_C / A,Chr7A_35375150_T / A,Chr7A_36413682_A / C,Chr7A_37183555_A / G,Chr7A_37183736_T / C,Chr7A_37183738_G / A, Chr7A_37307966_C / A,Chr7A_37737616_G / T,Chr7A_37745146_C / T,Chr7A_38247396_A / G,Chr7A_38320409_T / A,Chr7A_38371011_A / T,Chr7A_38423934_G / A,Chr7A_38423946_T / G,Chr7A_38424027_C / T,Chr7A_38424359_A / G,Chr7A_38424374_A / G,Chr7A_38424672_G / A,Chr7A_38424673_A / T, Chr7A_38425471_T / G,Chr7A_38425499_A / T,Chr7A_38425641_G / T,Chr7A_38425667_C / A,Chr7A_38425803_C / A,Chr7A_38425878_G / A,Chr7A_38470224_G / A,Chr7A_39217064_T / C,Chr7A_43248945_C / T,Chr7A_43364221_C / T,Chr7A_43453467_T / G,Chr7A_43641081_C / T,Chr7A_44322123_G / A,Chr7A_44756873_A / T,Chr7A_44818985_C / G,Chr7A_45412539_G / C,Chr7A_46609970_A / T,Chr7A_47903402_T / C,Chr7A_48222541_C / G,Chr7A_55504207_C / T,Chr7B_1802114_C / G,Chr7B_1802126_T / C,Chr7B_1802144_C / T,Chr7B_1802177_C / T,Chr7B_1875974_G / A,Chr7B_1979657_C / T,Chr7B_4158848_C / T,Chr7B_4170397_A / G,Chr7B_4177648_G / A,Chr7B_4177683_G / C,Chr7B_4207031_T / C,Chr7B_4568957_A / T,Chr7B_4612065_G / C,Chr7B_4612234_G / T,Chr7B_4612340_A / C,Chr7B_4631800_C / A,Chr7B_4927904_G / T,Chr7B_5449472_T / C,Chr7B_5717202_A / G,Chr7B_5717326_G / A,Chr7B_6001894_T / C,Chr7B_6151224_C / T,Chr7B_6151309_C / A,Chr7B_6151325_C / T,Chr7B_6151329_G / A,Chr7B_6151367_G / C,Chr7B_6151477_T / C,Chr7B_6151557_G / A,Chr7B_6151633_C / T,Chr7B_6152325_G / C,Chr7B_6167282_C / G,Chr7B_6167448_G / T,Chr7B_6194500_T / C,Chr7B_6964536_A / G,Chr7B_7094459_A / G,Chr7B_7753785_G / C,Chr7B_7754659_C / T,Chr7B_7754881_A / C,Chr7B_7755145_T / G,Chr7B_7755182_G / A,Chr7B_7755281_C / T,Chr7B_7755507_T / C,Chr7B_7755514_A / G,Chr7B_7755520_C / T,Chr7B_7755543_T / C,Chr7B_7755580_T / C,Chr7B_7755760_A / G,Chr7B_7755764_C / A,Chr7B_7755776_C / T,Chr7B_7755912_C / G,Chr7B_7756215_T / G,Chr7B_8164003_G / A,Chr7B_8165829_G / A,Ch r7B_8165889_T / C,Chr7B_8173804_G / A,Chr7B_8174410_G / A,Chr7B_8174490_G / A,Chr7B_8300507_G / A,Ch r7B_9428526_G / T,Chr7B_9428587_C / T,Chr7B_9429016_T / G,Chr7B_9429074_C / G,Chr7B_9429500_A / G,Chr 7B_9429697_T / C,Chr7B_9759948_G / A,Chr7B_9759949_A / T,Chr7B_9878361_A / G,Chr7B_10074455_G / C,Ch r7B_10545223_G / A,Chr7B_11892179_G / A,Chr7B_12768095_T / C,Chr7B_13242766_A / G,Chr7B_13266482_T / C,Chr7B_14006128_A / T,Chr7B_14072606_A / T,Chr7B_15031449_A / T,Chr7B_15361186_T / G,Chr7B_153612 53_G / T,Chr7B_15363027_G / C,Chr7B_15363034_G / C,Chr7B_15363291_G / C,Chr7B_16519785_G / A,Chr7B_17 076985_T / C,Chr7B_17142747_C / T,Chr7B_19846383_G / A,Chr7B_29031098_T / G,Chr7B_29038399_A / T,Chr7 B_29038467_C / T,Chr7B_29225816_C / T,Chr7B_35037022_A / G,Chr7B_39165636_C / T,Chr7B_54517616_G / A,

[0089] SNP sites were determined through genome-wide association analysis of 358 rose resequencing materials, and were screened using multiple software and models.

[0090] Example 2

[0091] The present invention provides a predictive probe for rose flower type. The probe is a specific probe designed for combinations of SNP sites and is used to detect corresponding SNP sites in the rose genome.

[0092] This invention discloses a rose flower shape prediction chip, which includes probes capable of high-throughput detection of genomic DNA in rose samples to obtain SNP site information related to flower shape. The chip is in liquid-phase form and features low cost, dynamically expandable marker library, and high detection efficiency.

[0093] Example 3

[0094] The present invention relates to the application of a combination of SNP molecular markers, probes, or chips in the prediction of rose flower type. By extracting the genomic DNA of rose plants and using the SNP site combination, probes, or chips for detection, combined with a prediction model, the flowering characteristics of roses can be predicted 6-8 months after planting, thereby shortening the rose breeding cycle to 2-3 years.

[0095] Prediction models include genome-wide selection models such as Bayes Ridge Regression (BRR), with a prediction accuracy greater than 0.815.

[0096] Example 4

[0097] The present invention provides a method for predicting rose flower type based on SNP molecular marker combinations, comprising the following steps:

[0098] (1) Genomic DNA of the rose plant to be tested is extracted from the rose leaf tissue using the magnetic bead method. (2) The extracted genomic DNA is processed for library construction. (3) Before hybridization capture using probes corresponding to the SNP molecular marker combination, a pre-PCR amplification step is also included in the DNA after library construction. (4) The captured DNA is subjected to high-throughput sequencing. (5) The sequencing results are analyzed to obtain the genotype information of the SNP sites. (6) The genotype information of the SNP sites is input into the pre-established prediction model to obtain the prediction results of the rose flower type.

[0099] Example 5

[0100] The present invention provides a method for constructing a predictive model of rose flower type based on SNP molecular marker combinations, comprising the following steps:

[0101] (1) Collect rose genotype data containing SNP locus combinations and corresponding flower shape phenotype data, including round, irregular round and star-shaped flowers;

[0102] (2) Quality control was performed on the collected SNP locus data, including retaining loci with an allele frequency greater than 0.01 and a deletion rate less than 0.2.

[0103] (3) Use multiple software and models to perform genome-wide association analysis (GWAS) on quality-controlled SNP locus data and flower phenotype data. The software includes, but is not limited to, EMMAX, GEMMA, RMVP, and TASSEL, and the models include, but are not limited to, FARMCPU model, GLM model, and MLM model.

[0104] (4) Screen the SNP sites obtained from GWAS analysis and remove sites with Indel markers within 50bp upstream and downstream, more than one copy number in the whole genome, GC content not in the range of 40-60%, short repetitive sequences or N bases.

[0105] (5) Sort the filtered SNP sites according to the number of software and models associated and the association results, and select SNP sites with a large number of software associations and significant association values.

[0106] (6) Construct and evaluate prediction models for selected SNP sites using multiple genome-wide selection models, including but not limited to LightGBM, Random Forest, SVR, Lasso Regression, Ridge Regression, rrBLUP, RKHS, Bayes Ridge Regression, Bayesian Lasso, BayesC, BayesB, BayesA, and GBLUP;

[0107] (7) Determine the optimal prediction model based on the accuracy evaluation results of the prediction model, wherein the accuracy evaluation indicators include, but are not limited to, prediction accuracy, and the prediction accuracy is greater than 0.815.

[0108] Example 6

[0109] Using 358 rose resequencing materials and collected genome-wide association analyses of flower types, 2001 SNP markers with significant association results across multiple software programs were selected to construct a genome-wide selection model with good predictive results. This marker combination is distributed across 14 chromosomes and can provide theoretical and data support for rose flower type breeding, possessing significant theoretical value and practical significance.

[0110] Genome-wide association analysis of flower type was performed on 358 rose whole-genome resequencing data, including the following workflow:

[0111] (1) Genomic DNA was extracted from 358 rose leaf tissues using the magnetic bead method, and a whole genome resequencing library was constructed. DNA fragments that met the sequencing requirements were screened by magnetic beads, quantified by qbit, and then sequenced using BGI DNBSEQ-T7.

[0112] (2) The second-generation sequencing data in fq.gz format obtained in step (1) was compared with the *R. hybrida* 'Samantha' genome (v2) using the bwa software. The URL is:

[0113] The genome (https: / / figshare.com / articles / dataset / _i_R_hybrida_i_Samantha_genome_v2_ / 28738781?file=53454104) was analyzed. SNP variation data were analyzed using GATK software, ultimately identifying 115,219,112 high-quality SNP loci.

[0114] (3) The SNP sites selected in step (2) are further categorized by allele frequency ( ) greater than 0.01. Figure 1 SNP sites with a deletion rate of less than 0.2 ( Figure 2 ), yielding 35,335,433 high-quality SNP loci.

[0115] (4) Flower shape traits: Flower shape includes 1: round; 2: irregular round; 3: star-shaped. Three replicate flower shape data were collected, and the mean and BLUP value were calculated. A total of 5 data were used for GWAS association analysis.

[0116] (5) Using emmax, gemma, rmvp (FARMCPU model, GLM model, MLM model), and tassel (GLM model), six models were used to associate floral agronomic traits. The p-value threshold was set to 1E-4, and 268,779 SNP markers were definitely associated. After deduplication of the association results from different software models, 134,868 SNP loci were obtained.

[0117] (6) Probe evaluation of the SNP sites screened in step (5). Screening criteria: no InDel markers within 50 bp upstream and downstream of the SNP site; 100 bp upstream and downstream of the sequence, with only one copy number in the whole genome; GC content of 40-60%; no short repetitive sequences in the sequence; no N bases in the sequence, resulting in 5710 SNP sites remaining.

[0118] (7) Sort the SNP sites selected in step (6) according to the number of software and models associated and the association results, and select the 2001 SNP markers with the most software associations and the most significant association values. Figure 5 ).

[0119] (8) The SNP loci selected in step (7) were evaluated using 13 genome-wide selection models: LightGBM (lgb), Random Forest (RF), SVR (svr), Lasso Regression (Lasso), Ridge Regression (Ridge), rrBLUP (rrblup), Reproducing Kernel Hilbert Space (RKHS), Bayes Ridge Regression (BRR), Bayesian Lasso (BL), BayesC, BayesB, BayesA, and GBLUP. The genotypes and flower type agronomic traits of 358 accessions were used to assess the accuracy of flower type prediction. The results showed that Ridge had the lowest prediction accuracy, while Bayes Ridge Regression (BRR) had the highest. The overall prediction accuracy was greater than 0.815, indicating good prediction accuracy. Figure 4 ).

[0120] (9) The SNP sites selected in step (7) are used to synthesize probe sequences for capture sequencing.

[0121] Example 7

[0122] The method for detecting roses using a liquid phase probe corresponding to 2001 SNPs as described in Example 6

[0123] Genomic DNA Extraction: Rose leaves were collected, preserved with ice packs, and promptly transported back to the laboratory. Total rose DNA was extracted using the magnetic bead method. Genomic DNA Library Construction: Genomic DNA was fragmented (200-300 bp), and adapters were ligated to the DNA fragment ends to create a Pre-PCR amplification library. Probe Hybridization with Target Region: The prepared SNP probes were hybridized with the Pre-PCR library. Streptomycin-modified probes were used to capture complementary DNA from the complementary DNA library. After enriching the target DNA library, other library DNA was eluted, resulting in the captured Pre-PCR library.

[0124] Hybridization conditions: streptomycin-labeled probes hybridized with the target library at 50°C for 16 h, biotin-labeled magnetic beads bound to streptomycin-labeled probes at room temperature for 30 min to enrich the target library, non-target areas of the library were rinsed with wash buffer, and then eluted with nuclease-free water.

[0125] After purification by magnetic beads, the DNA is amplified and enriched to the concentration required for high-throughput sequencing, and then subjected to high-throughput sequencing.

[0126] High-throughput sequencing: The library obtained after capture and amplification in step (4) was subjected to high-throughput sequencing using the BGI Genomics DNBSEQ-T7 sequencing platform to obtain the sequencing results of genomic DNA, and the obtained data was cleaned.

[0127] Liquid phase probe capture rate evaluation: The cleaned sequencing data were aligned to *Rhododendron hybrida* using bwa software.

[0128] The 'Samantha' genome (v2) reference sequence was used to evaluate its capture efficiency.

[0129] Experimental Example 1

[0130] Evaluation of liquid phase probe capture efficiency for 12 seasonal varieties

[0131] Experimental materials: Twelve rose leaf samples were selected, refrigerated, and promptly transported to the laboratory. Total DNA was extracted from each individual plant using the CTAB method. The 12 rose varieties and their numbers are shown in Table 1 below.

[0132] Table 1

[0133] Test1 Beloved Test2 porphyry Test3 Lia Tutu Test4 Laban Test5 Hyde's Dream Test6 Shakla Test7 Red and black Test8 Yuna Test9 Queen Nefertiti Test10 Black Whirlwind Test11 Morris Test12 digital watch

[0134] Capture efficiency assessment

[0135] Based on the evaluation results of the 12-month-old rose materials, the proportion of detectable SNPs ranged from 97.62% to 98.81%, with a coverage depth of 391.08 to 531.36X. The overall capture efficiency was good, and it can be used for subsequent SNP detection and genome-wide selection evaluation of other samples. Table 2 shows the statistics of leaf sequencing coverage depth and detection rate of the 12-month-old rose varieties of this invention.

[0136] Table 2

[0137] Beloved 392.52 97.62 porphyry 419.64 98.03 Lia Tutu 391.08 98.11 Laban 428.58 98.05 Hyde's Dream 419.16 98.81 Shakla 531.36 97.74 Red and black 404.16 98.07 Yuna 401.1 98.04 Queen Nefertiti 391.08 97.87 Black Whirlwind 421.56 98.1 Morris 416.58 98.03 digital watch 499.62 98.17

[0138] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope. The scope of protection of the present invention is defined by the appended claims, specification, and their equivalents.

Claims

1. A method for predicting rose flower type using SNP molecular marker combinations, characterized in that... Includes the following steps: (1) Extract genomic DNA from the rose plants to be tested; (2) Library construction of the extracted genomic DNA; (3) Use probes corresponding to SNP sites to perform hybridization capture and enrich the target DNA region; (4) Perform high-throughput sequencing on the captured DNA; (5) Perform data analysis on the sequencing results to obtain the genotype information of the SNP molecular marker combination; the SNP molecular marker combination includes 2001 SNP loci distributed on the 14 chromosomes of rose, which can be used to predict the rose flower shape, including round, irregular round, and star-shaped; the specific information of the SNP loci is represented in the structure of chromosome number_physical location_allele type, and the SNP loci contain dominant alleles that are positively and significantly associated with the rose flower shape. The specific locus information is shown in Table 1; the reference genome of the SNP molecular marker combination is the v2 version of the genome of the modern rose 'Samantha'; (6) Input the genotype information of the SNP loci into the pre-established prediction model to obtain the prediction results of the rose flower type.

2. The prediction method according to claim 1, characterized in that: In step (1), the extraction of genomic DNA from the rose plant to be tested is performed by using magnetic beads to extract it from the rose leaf tissue.

3. The prediction method according to claim 1, characterized in that: In step (3), before hybridization capture using probes corresponding to the SNP molecular marker combination, a pre-PCR amplification step is also included for the constructed DNA.

4. A method for constructing a predictive model of rose flower type based on SNP molecular marker combinations, characterized in that... Includes the following steps: (1) Collect rose genotype data containing the SNP molecular marker combination of claim 1, and corresponding flower shape phenotypic data, wherein the flower shape includes round, irregular round, and star-shaped; the SNP molecular marker combination includes 2001 SNP loci distributed on the 14 chromosomes of rose, and the SNP loci can be used to predict rose flower shape, wherein the flower shape includes round, irregular round, and star-shaped; the specific information of the SNP loci is represented in the structure of chromosome number_physical location_allele type, and the SNP loci contain dominant alleles that are positively and significantly associated with rose flower shape, and the specific locus information is shown in Table 1; the reference genome of the SNP molecular marker combination is the modern rose 'Samantha' genome v2 version; (2) Quality control was performed on the collected SNP locus data, including retaining loci with an allele frequency greater than 0.01 and a deletion rate less than 0.2; (3) Use multiple software and models to perform genome-wide association analysis (GWAS) on quality-controlled SNP locus data and flower phenotype data. The software includes, but is not limited to, EMMAX, GEMMA, RMVP, and TASSEL, and the models include, but are not limited to, FARMCPU model, GLM model, and MLM model. (4) Screen the SNP sites obtained from GWAS analysis and remove sites with Indel markers within 50 bp upstream and downstream, more than one copy number in the whole genome, GC content not in the range of 40-60%, short repetitive sequences or N bases. (5) Sort the filtered SNP sites according to the number of software and models associated and the association results, and select the SNP sites with a large number of software associations and significant association values; (7) Construct and evaluate prediction models for selected SNP sites using multiple genome-wide selection models, including but not limited to LightGBM, Random Forest, SVR, Lasso Regression, Ridge Regression, rrBLUP, RKHS, Bayes Ridge Regression, Bayesian Lasso, BayesC, BayesB, BayesA, and GBLUP; (8) Determine the optimal prediction model based on the accuracy evaluation results of the prediction model, wherein the accuracy evaluation indicators include, but are not limited to, prediction accuracy, and the prediction accuracy is greater than 0.815.

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