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利用关联分析对大豆(Glycine max)生育期性状进行表型鉴定和遗传剖析

Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association Mapping.

作者信息

Liu Zhangxiong, Li Huihui, Fan Xuhong, Huang Wen, Yang Jiyu, Li Candong, Wen Zixiang, Li Yinghui, Guan Rongxia, Guo Yong, Chang Ruzhen, Wang Dechun, Wang Shuming, Qiu Li-Juan

机构信息

National Key Facility for Gene Resources and Genetic Improvement, Key Laboratory of Crop Germplasm Utilization, Ministry of Agriculture, Institute of Crop Sciences, Chinese Academy of Agricultural Science, Beijing, China.

Institute of Soybean Research, Jilin Academy of Agricultural Sciences, Changchun, China.

出版信息

PLoS One. 2016 Jul 1;11(7):e0158602. doi: 10.1371/journal.pone.0158602. eCollection 2016.

DOI:10.1371/journal.pone.0158602
PMID:27367048
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4930185/
Abstract

The growth period traits are important traits that affect soybean yield. The insights into the genetic basis of growth period traits can provide theoretical basis for cultivated area division, rational distribution, and molecular breeding for soybean varieties. In this study, genome-wide association analysis (GWAS) was exploited to detect the quantitative trait loci (QTL) for number of days to flowering (ETF), number of days from flowering to maturity (FTM), and number of days to maturity (ETM) using 4032 single nucleotide polymorphism (SNP) markers with 146 cultivars mainly from Northeast China. Results showed that abundant phenotypic variation was presented in the population, and variation explained by genotype, environment, and genotype by environment interaction were all significant for each trait. The whole accessions could be clearly clustered into two subpopulations based on their genetic relatedness, and accessions in the same group were almost from the same province. GWAS based on the unified mixed model identified 19 significant SNPs distributed on 11 soybean chromosomes, 12 of which can be consistently detected in both planting densities, and 5 of which were pleotropic QTL. Of 19 SNPs, 7 SNPs located in or close to the previously reported QTL or genes controlling growth period traits. The QTL identified with high resolution in this study will enrich our genomic understanding of growth period traits and could then be explored as genetic markers to be used in genomic applications in soybean breeding.

摘要

生育期性状是影响大豆产量的重要性状。深入了解生育期性状的遗传基础可为大豆品种的种植区划、合理布局及分子育种提供理论依据。本研究利用全基因组关联分析(GWAS),采用4032个单核苷酸多态性(SNP)标记,对146个主要来自中国东北的大豆品种的始花天数(ETF)、开花至成熟天数(FTM)和成熟天数(ETM)进行数量性状位点(QTL)检测。结果表明,群体中存在丰富的表型变异,各性状的基因型、环境及基因型与环境互作所解释的变异均显著。基于遗传相关性,所有材料可清晰地聚类为两个亚群,同一组内的材料几乎来自同一省份。基于统一混合模型的GWAS鉴定出19个显著SNP,分布在11条大豆染色体上,其中12个在两种种植密度下均可重复检测到,5个为多效性QTL。在这19个SNP中,有7个位于先前报道的控制生育期性状的QTL或基因附近。本研究中高分辨率鉴定出的QTL将丰富我们对生育期性状的基因组认识,并可作为遗传标记应用于大豆育种的基因组研究。

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