SNP (Single Nucleotide Polymorphism) molecular marker combination for predicting Chinese rose flower type and application of SNP molecular marker combination

Abstract

The invention provides an SNP (Single Nucleotide Polymorphism) molecular marker combination for predicting a Chinese rose flower type and application of the SNP molecular marker combination. The combination comprises 2001 SNP loci distributed on 14 chromosomes of the rosa chinensis, and can be used for predicting the flower types of the rosa chinensis, including circles, irregular circles and stars. The SNP loci are determined through genome-wide association analysis and screening of a plurality of software models, and have dominant alleles which are positively and remarkably associated with the Chinese rose types. The invention also relates to a prediction probe and a prediction chip based on the SNP molecular marker combination, and applications of the prediction probe and the prediction chip in China rose type prediction. According to the SNP molecular marker combination, the prediction probe or the prediction chip, the prediction model is combined, the florescence characteristics of the Chinese roses can be predicted 6-8 months after the Chinese roses are planted, the breeding period is greatly shortened to 2-3 years, meanwhile, the prediction precision is improved, the cost is reduced, the screening efficiency is improved, a variety right technical barrier is formed, and the SNP molecular marker combination, the prediction probe or the prediction chip have important theoretical value and application significance.

Description

Technical Field

[0001] The present invention relates to the technical field of molecular breeding, and in particular to a SNP molecular marker combination for rose flower type prediction and application thereof. Background Art

[0002] Modern rose flower type breeding mainly includes methods such as introduction, hybridization and seed selection. The development of excellent varieties often requires 10-20 years of targeted selection, which has a long breeding cycle, high costs and slow results. Traditional breeding methods mainly rely on the selection of hybrid parents, creating variations through sexual hybridization combinations, and then selecting individuals that meet the breeding goals. However, this method has obvious shortcomings: First, it relies on manual experience observation and morphological statistics to judge flower type, which makes it difficult to accurately quantify complex flower type characteristics such as double petals and petal arrangement levels. Especially when faced with tens of thousands of hybrid offspring groups, there are defects such as low efficiency in obtaining phenotypic data and highly subjective evaluation criteria; second, it is impossible to achieve dynamic prediction of flower type in the early development stage, resulting in a long breeding cycle. It is usually necessary to wait until the plants bloom before screening.

[0003] SNPs (single nucleotide polymorphisms), as third-generation molecular markers, offer advantages such as dense distribution, good genetic stability, and codominance. They serve as the foundation for DNA resequencing and genetic diversity analysis, and are the preferred tool for the study of next-generation genetic variation. 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, SNP molecular marker technology has been increasingly applied in plant genomics research and molecular breeding, providing a new technical means for rose flower type prediction and breeding.

[0004] Whole-genome selection breeding is a breeding method that uses high-density molecular markers covering the entire genome, combined with statistical models, to predict individual breeding values. Material selection can be completed by testing the DNA of seeds or seedlings, greatly reducing the breeding time required to screen materials after field planting and accelerating the breeding process. This method can fully utilize genetic information across the entire genome, while considering the micro-effects of multiple genes and the complex interactions between genes, to effectively genetically improve complex quantitative traits. In rose breeding, whole-genome selection breeding technology provides potential possibilities for early prediction of flower shape and precise breeding.

[0005] Currently, an effective prediction system for rose flower type has not been established. Traditional flower type evaluation methods rely primarily on manual observation and empirical judgment, and can only record phenotypes after the rose blooms, making it impossible to accurately predict flower type at an early stage. This lag results in a significant investment of time and resources during the breeding process, waiting for the plants to bloom before selecting individuals with the target flower type, severely restricting the efficiency and progress of rose breeding. Therefore, developing a method that can accurately predict the flower type of roses in their early developmental stages is of great practical significance for shortening the breeding cycle and improving breeding efficiency. Summary of the Invention

[0006] In order to solve the problems of the prior art, the purpose of the present invention is to provide a SNP molecular marker combination for rose flower type prediction and its application.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] In a first aspect, the present application provides a SNP molecular marker combination for rose flower type prediction.

[0009] In a second aspect, the present application provides a rose type prediction probe.

[0010] In a third aspect, the present application provides a rose type prediction chip.

[0011] In a fourth aspect, the present application provides an application of a SNP molecular marker combination, probe or chip in rose flower type prediction.

[0012] In a fifth aspect, the present application provides a method for predicting rose flower types based on a combination of SNP molecular markers.

[0013] In a sixth aspect, the present application provides a method for constructing a prediction model for rose flower type based on a combination of SNP molecular markers.

[0014] In a first aspect, the present application provides a SNP molecular marker combination for rose flower type prediction, the SNP molecular marker combination including 2001 SNP sites distributed on 14 rose chromosomes, the SNP sites can be used to predict rose flower types, the flower types including round, irregular round, and star-shaped;

[0015] The specific information of the SNP site is represented by the structure of chromosome number_physical position_allele type. The SNP site contains a dominant allele that is positively and significantly associated with the rose flower type. The specific site information is shown in Appendix 1 of the specification.

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

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

[0018] In a third aspect, the present application provides a rose flower type prediction chip. The chip includes probes capable of high-throughput detection of genomic DNA from rose samples to obtain information on single nucleotide polymorphisms (SNPs) associated with flower type. This liquid-phase chip is low-cost, has a dynamically expandable marker library, and offers high detection efficiency.

[0019] The fourth aspect of the present application provides an application of a SNP molecular marker combination, probe or chip in the prediction of rose flower type. By extracting the genomic DNA of the rose plant, using the SNP site combination, probe or chip for detection, and combining it with a prediction model, the flowering characteristics of the rose 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] In a fifth aspect, the present application provides a method for predicting rose flower type based on a combination of SNP molecular markers, comprising the following steps:

[0022] A fifth aspect of the present application provides a method for rose flower type prediction based on a combination of SNP molecular markers, comprising the following steps:

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

[0024] (2) constructing a library of the extracted genomic DNA;

[0025] (3) Using probes corresponding to the SNP site combination for hybridization capture to enrich the target DNA region;

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

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

[0028] (6) Inputting the genotype information of the SNP site into a pre-established prediction model to obtain the prediction result of the rose flower type.

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

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

[0031] In a sixth aspect, the present application provides a method for constructing a rose flower type prediction model based on a combination of SNP molecular markers, comprising the following steps:

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

[0033] (2) quality control of the collected SNP locus data, including retaining loci with allele frequencies greater than 0.01 and missingness rates less than 0.2;

[0034] (3) performing genome-wide association studies (GWAS) on the quality-controlled SNP locus data and floral phenotype data using multiple software and models, including but not limited to EMMAX, GEMMA, RMVP, and TASSEL, and models including but not limited to FARMCPU model, GLM model, and MLM model;

[0035] (4) The SNP sites obtained by GWAS analysis were screened to remove sites with Indel markers within 50 bp upstream and downstream, sites with more than one copy number in the whole genome, sites with GC content not in the range of 40-60%, and sites containing short segment repeats or N bases;

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

[0037] (6) Use multiple genome-wide selection models to construct and evaluate prediction models for the selected SNP sites, 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, where the accuracy evaluation indicators include but are not limited to prediction accuracy, and the prediction accuracy is greater than 0.815.

[0039] Beneficial effects: The present invention significantly shortens the breeding cycle. At the same time, by synchronously detecting key SNP sites through liquid phase chips, combined with patented marker groups and prediction models, it can achieve early screening of flower shape traits and synergistic optimization of stress resistance.

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

[0041] (1) Shortening the breeding cycle: The traditional rose breeding cycle is as long as 5-8 years. The present invention constructs a rose flower type prediction model by analyzing the microstructure of stems and leaves in the seedling stage, genetic markers and environmental factors, so that breeders can predict the characteristics of flowering 6-8 months after planting, greatly shortening the breeding cycle to 2-3 years, achieving a leap from "seeing fruits after flowering" to "predicting before flowering", and significantly improving breeding efficiency.

[0042] (2) Improving prediction accuracy: The present invention uses 358 rose resequencing materials and collected flower type whole-genome association analysis. After multiple screening and evaluation, 2001 high-quality SNP markers are identified, and a whole-genome selection model with a prediction accuracy greater than 0.815 (such as the Bayes Ridge Regression (BRR) model) is constructed. This model can more accurately predict rose flower type, greatly improving the accuracy and reliability of prediction compared to traditional methods that rely on manual experience observation and morphological statistics.

[0043] (3) Reduce costs: The present invention adopts liquid-phase breeding chips and SNP site marker screening technology, which reduces the cost by 60% compared with traditional solid-phase chips, and supports dynamic expansion of marker libraries, realizing rapid genotyping of hybrid progeny seedlings, thereby reducing breeding costs.

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

[0045] (5) Forming technical barriers to variety rights: The present invention locks in key gene variations based on protected site genotype screening, forming a molecular marker intellectual property barrier, which helps breeders protect their own breeding results, enhance the commercial competitiveness of varieties, and promote the upgrade of rose breeding from "field trial and error" to "chip-driven" molecular design model. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

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

[0048] Figure 2 This is a missing rate diagram of rose petal shapes provided by the present invention.

[0049] Figure 3 This is a diagram of the whole genome selection evaluation results of rose petal types provided by the present invention.

[0050] Figure 4 This is a heterozygosity diagram of rose petal flower types provided by the present invention.

[0051] Figure 5 This is the whole chromosome marker distribution map of rose petal flower types provided by the present invention. DETAILED DESCRIPTION

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

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

[0054] In this application, "-one or more" means one or more, and "more than one" means two or more. "The following - one or more" or similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, "a, b, or c - one or more", or "a, b, and c - one or more" 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 the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. Some or all of the steps can 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 the present application.

[0056] The terms used in the embodiments of the present application are for the purpose of describing specific embodiments only and are not intended to limit the present application. The singular forms "a", "an", "the" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise.

[0057] The weights of the relevant components mentioned in the examples of this application may not only refer to the specific content of each component, but also represent the weight ratio between the components. Therefore, as long as the content of the relevant components is proportionally enlarged or reduced according to the examples of this application, it is within the scope disclosed in the examples of this application. Specifically, the mass described in the examples of this application may be a mass unit known in the chemical industry, such as μg, mg, g, kg, etc.

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

[0059] In a first aspect, the present invention provides a SNP molecular marker combination for rose flower type prediction. The SNP molecular marker combination includes 2001 SNP sites distributed on 14 rose chromosomes. The SNP sites can be used to predict rose flower types, including round, irregular round, and star-shaped.

[0060] The specific information of the SNP site is represented by the structure of chromosome number_physical position_allele type. The SNP site contains a dominant allele that is positively and significantly associated with the rose flower type. The specific site information is shown in Appendix 1 of the specification.

[0061] In some embodiments, the SNP sites are determined by performing genome-wide association analysis on 358 rose resequencing materials and screening with multiple software and model associations.

[0062] In a second aspect of an embodiment of the present application, a rose flower type prediction probe is provided. The probe is a specific probe designed for a combination of SNP sites and is used to detect corresponding SNP sites in the rose genome.

[0063] In a third aspect, embodiments of the present application provide a rose flower type prediction chip. The chip includes probes capable of high-throughput detection of genomic DNA from rose samples to obtain information on single nucleotide polymorphisms (SNPs) associated with flower type. This liquid-phase chip is low-cost, has a dynamically expandable marker library, and offers high detection efficiency.

[0064] The fourth aspect of the embodiments of the present application provides an application of a SNP molecular marker combination, probe or chip in the prediction of rose flower type. By extracting the genomic DNA of the rose plant and using the SNP site combination, probe or chip for detection, combined with a prediction model, the flowering characteristics of the rose 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 a genome-wide selection model such as Bayes Ridge Regression (BRR), and the prediction accuracy is greater than 0.815.

[0066] A fifth aspect of the present application provides a method for rose flower type prediction based on a combination of SNP molecular markers, comprising the following steps:

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

[0068] (2) constructing a library of the extracted genomic DNA;

[0069] (3) Using probes corresponding to the SNP site combination for hybridization capture to enrich the target DNA region;

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

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

[0072] (6) Inputting the genotype information of the SNP site into a pre-established prediction model to obtain the prediction result 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 rose leaf tissue using a magnetic bead method.

[0074] In some embodiments, in step (3), before hybridization capture using probes corresponding to the SNP molecular marker combination, a step of pre-PCR amplification of the DNA after library construction is also included.

[0075] A sixth aspect of the present application provides a method for constructing a rose flower type prediction model based on a combination of SNP molecular markers, comprising the following steps:

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

[0077] (2) quality control of the collected SNP locus data, including retaining loci with allele frequencies greater than 0.01 and missingness rates less than 0.2;

[0078] (3) performing genome-wide association studies (GWAS) on the quality-controlled SNP locus data and floral phenotype data using multiple software and models, including but not limited to EMMAX, GEMMA, RMVP, and TASSEL, and models including but not limited to FARMCPU model, GLM model, and MLM model;

[0079] (4) The SNP sites obtained by GWAS analysis were screened to remove sites with Indel markers within 50 bp upstream and downstream, sites with more than one copy number in the whole genome, sites with GC content not in the range of 40-60%, and sites containing short segment repeats or N bases;

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

[0081] (6) Use multiple genome-wide selection models to construct and evaluate prediction models for the selected SNP sites, 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, where 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 relating to a set of SNP marker combinations that can accurately predict rose flower type. Using 358 resequenced rose samples and collected genome-wide association analysis of flower type, 2001 SNP markers that showed significant simultaneous associations across multiple software programs were selected to construct a genome-wide selection model with good prediction results. This marker combination, distributed across 14 chromosomes, can provide theoretical and data support for rose flower type selection and breeding, possessing significant theoretical value and practical implications.

[0084] Example 1

[0085] The present invention provides a SNP molecular marker combination for rose flower type prediction, comprising 2001 SNP loci distributed on 14 rose chromosomes. The SNP loci can be used to predict rose flower types, including round, irregular round, and star-shaped.

[0086] The specific information of the SNP site is represented by the structure of chromosome number_physical position_allele type. The SNP site contains a dominant allele that is positively and significantly associated with the rose flower type. The specific site 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] The SNP sites were determined through genome-wide association analysis of 358 rose resequencing materials and association screening using multiple software and models.

[0090] Example 2

[0091] The present invention provides a rose flower type prediction probe, which is a specific probe designed for SNP site combination and is used to detect corresponding SNP sites in the rose genome.

[0092] The present invention discloses a rose flower type prediction chip, comprising probes capable of high-throughput detection of genomic DNA from rose samples to obtain information on single nucleotide polymorphisms (SNPs) associated with flower type. The chip, in liquid-phase format, offers low cost, a dynamically expandable marker library, and high detection efficiency.

[0093] Example 3

[0094] The present invention uses a SNP molecular marker combination, probe or chip in rose flower type prediction. By extracting genomic DNA from rose plants and using the SNP site combination, probe or chip 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] The 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] A method for predicting rose flower type based on SNP molecular marker combinations of the present invention comprises the following steps:

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

[0099] Example 5

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

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

[0102] (2) quality control of the collected SNP locus data, including retaining loci with allele frequencies greater than 0.01 and missingness rates less than 0.2;

[0103] (3) performing genome-wide association studies (GWAS) on the quality-controlled SNP locus data and floral phenotype data using multiple software and models, including but not limited to EMMAX, GEMMA, RMVP, and TASSEL, and models including but not limited to FARMCPU model, GLM model, and MLM model;

[0104] (4) The SNP sites obtained by GWAS analysis were screened to remove sites with Indel markers within 50 bp upstream and downstream, sites with more than one copy number in the whole genome, sites with GC content not in the range of 40-60%, and sites containing short segment repeats or N bases;

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

[0106] (6) Use multiple genome-wide selection models to construct and evaluate prediction models for the selected SNP sites, 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, where 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 resequenced rose samples and collected genome-wide association analysis data for flower type, 2001 SNP markers with significant simultaneous associations across multiple software programs were selected to construct a genome-wide selection model with good predictive results. This marker combination, distributed across 14 chromosomes, provides theoretical and data support for rose flower type selection and breeding, possessing significant theoretical value and practical implications.

[0110] Analyze 358 rose whole genome resequencing data to conduct genome-wide association analysis of flower type, including the following process:

[0111] (1) Genomic DNA from 358 rose leaf tissues was extracted 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, and sequenced using BGI DNBSEQ-T7 after qbit quantification.

[0112] (2) The second generation sequencing data in fq.gz format obtained in step (1) were aligned with the rose (R. hybrida'Samantha' genome (v2) using bwa software, the website is:

[0113] The genome was analyzed using GATK software to analyze SNP variation data, ultimately identifying 115,219,112 high-quality SNP sites.

[0114] (3) The SNP sites selected in step (2) were retained with allele frequencies greater than 0.01 ( Figure 1 ), SNP sites with a missing rate of less than 0.2 ( Figure 2 ), and obtained 35335433 high-quality SNP sites.

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

[0116] (5) Six models were used to correlate flower type and agronomic traits using four software programs: emmax, gemma, rmvp (FARMCPU model, GLM model, MLM model), and tassel (GLM model). The p-value threshold was set at 1E-4, and 268,779 SNP markers were consistently associated. After deduplication of the association results from different software models, 134,868 SNP loci were obtained.

[0117] (6) Probe evaluation was performed on the SNP sites screened in step (5). Screening principles: there were no InDel markers within 50 bp upstream and downstream of the SNP site; there was only one copy of the 100 bp sequence upstream and downstream in the entire genome; the GC content was 40-60%; there were no short repeats in the sequence; there were no N bases in the sequence. Finally, 5710 SNP sites remained.

[0118] (7) The SNP sites selected in step (6) were sorted according to the number of software and model associations and the association results, and the 2001 SNP markers with the largest number of software associations and significant association values ​​were selected. Figure 5 ).

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

[0120] (9) The SNP sites screened in step (7) are synthesized into probe sequences for capture sequencing.

[0121] Example 7

[0122] Method for detecting rose using the liquid phase probe corresponding to the 2001 SNPs described in Example 6

[0123] Genomic DNA Extraction: Rose leaves were collected, stored in ice packs, and promptly transported back to the laboratory. Total rose DNA was extracted using a magnetic bead method. Genomic DNA Library Construction: Genomic DNA was fragmented (200-300 bp), and the DNA fragments were end-repaired and ligated with adapters to prepare a pre-PCR amplification library. Probe Hybridization with Target Region: Prepared SNP probes were hybridized with the pre-PCR library. A streptomycin-modified probe was then used to capture the complementary DNA library. The target DNA library was enriched and the remaining library DNA was eluted, creating the captured pre-PCR library.

[0124] Hybridization conditions: The streptavidin-labeled probe was hybridized with the target library at 50°C for 16 hours. The biotin-labeled magnetic beads were combined with the streptavidin-labeled probe at room temperature for 30 minutes to enrich the target library. The non-target region library was rinsed with wash buffer and eluted with nuclease-free water.

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

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

[0127] Liquid phase probe capture rate evaluation: bwa software was used to align the cleaned sequencing data to the rose (R. hybrida

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

[0129] Test Example 1

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

[0131] Experimental Materials: Twelve rose leaves were collected, refrigerated, and promptly transported to the laboratory. Total DNA from each individual rose was extracted using the CTAB method. The 12 rose varieties and their serial numbers are listed in Table 1.

[0132] Table 1

[0133] serial number Rose varieties serial number Rose varieties Test1 Beloved Test2 porphyry Test3 Leah Tutu Test4 Labanites Test5 Hyde's Dream Test6 Shakra Test7 Red and black Test8 Yuna Test9 Queen Nefertiti Test10 Black Whirlwind Test11 Morris Test12 electronic watches

[0134] Capture efficiency evaluation

[0135] The results of the evaluation of 12 rose materials showed that the detection rate of 2001 SNPs ranged from 97.62% to 98.81%, with a coverage depth of 391.08-531.36X. This overall capture efficiency is good and can be used for subsequent SNP detection and whole-genome selection evaluation of other samples. Table 2 shows the coverage depth and detection rate statistics of the leaf sequencing of 12 rose varieties of the present invention.

[0136] Table 2

[0137] Sample_ID Coverage Depth Detection rate (%) Beloved 392.52 97.62 porphyry 419.64 98.03 Leah Tutu 391.08 98.11 Labanites 428.58 98.05 Hyde's Dream 419.16 98.81 Shakra 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 electronic watches 499.62 98.17

[0138] The basic principles, main features and advantages of the present invention are shown and described above. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and improvements may be made to the present invention without departing from the spirit and scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims, the description and their equivalents.

Claims

1. A SNP molecular marker combination for rose flower type prediction, characterized by: The SNP molecular marker combination includes 2001 SNP sites distributed on 14 rose chromosomes, and the SNP sites can be used to predict rose flower types, including round, irregular round, and star-shaped; The specific information of the SNP site is represented by the structure of chromosome number_physical position_allele type. The SNP site contains a dominant allele that is positively and significantly associated with the rose flower type. The specific site information is shown in Appendix 1 of the specification.

2. The SNP molecular marker combination for rose flower type prediction according to claim 1, characterized in that: The SNP sites were determined by performing genome-wide association analysis on 358 rose resequencing materials and screening with multiple software and model associations.

3. A rose type prediction probe, characterized by: The probe is a specific probe designed for the SNP molecular marker combination according to claim 1, and is used to detect the corresponding SNP site in the rose genome.

4. A rose type prediction chip, characterized by: The prediction chip includes the probe according to claim 3, and can perform high-throughput detection on the genomic DNA of rose samples to obtain SNP site information related to flower shape.

5. Use of the SNP molecular marker combination according to any one of claims 1-2, the probe according to claim 3, or the chip according to claim 4 in rose flower type prediction, characterized in that: By extracting genomic DNA from rose plants, using the SNP site combination, probes or chips for detection, and combining 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.

6. The use according to claim 5, characterized in that: The prediction model includes genome-wide selection models such as Bayes Ridge Regression (BRR), and the prediction accuracy is greater than 0.

815.

7. A method for predicting rose flower type based on the SNP molecular marker combination according to claim 1, characterized in that The steps include: (1) Extracting genomic DNA from the rose plants to be tested; (2) constructing a library of the extracted genomic DNA; (3) Using probes corresponding to the SNP site combination for hybridization capture to enrich the target DNA region; (4) performing high-throughput sequencing on the captured DNA; (5) Perform data analysis on the sequencing results to obtain the genotype information of the SNP sites; (6) Inputting the genotype information of the SNP site into a pre-established prediction model to obtain the prediction result of the rose flower type.

8. The prediction method according to claim 7, characterized in that: In step (1), the genomic DNA of the rose plant to be tested is extracted from rose leaf tissue using a magnetic bead method.

9. The prediction method according to claim 7, characterized in that: In step (3), before hybridization capture is performed using probes corresponding to the SNP molecular marker combination, a step of pre-PCR amplification of the DNA after library construction is also included.

10. A method for constructing a rose flower type prediction model based on the SNP molecular marker combination according to claim 1, characterized in that The steps include: (1) collecting rose genotype data containing the SNP locus combination of claim 1 and corresponding flower phenotype data, wherein the flower shapes include circle, irregular circle, and star; (2) quality control of the collected SNP locus data, including retaining loci with allele frequencies greater than 0.01 and missingness rates less than 0.2; (3) performing genome-wide association studies (GWAS) on the quality-controlled SNP locus data and floral phenotype data using multiple software and models, including but not limited to EMMAX, GEMMA, RMVP, and TASSEL, and models including but not limited to FARMCPU model, GLM model, and MLM model; (4) The SNP sites obtained by GWAS analysis were screened to remove sites with Indel markers within 50 bp upstream and downstream, sites with more than one copy number in the whole genome, sites with GC content not in the range of 40-60%, and sites containing short segment repeats or N bases; (5) Sort the screened SNP sites according to the number of associated software and models and the association results, and select SNP sites with a large number of software associations and significant association values; (7) Use multiple genome-wide selection models to construct and evaluate prediction models for the selected SNP sites, including but not limited to LightGBM, Random Forest, SVR, Lasso Regression, RidgeRegression, 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, where 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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