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Genome-wide association analysis of agronomic traits in wheat under drought-stressed and non-stressed conditions

机译:干旱和非胁迫条件下小麦农艺性状的全基因组关联分析

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摘要

This study determined the population structure and genome-wide marker-trait association of agronomic traits of wheat for drought-tolerance breeding. Ninety-three diverse bread wheat genotypes were genotyped using the Diversity Arrays Technology sequencing (DArTseq) protocol. The number of days-to-heading (DTH), number of days-to-maturity (DTM), plant height (PHT), spike length (SPL), number of kernels per spike (KPS), thousand kernel weight (TKW) and grain yield (GYLD), assessed under drought-stressed and non-stressed conditions, were considered for the study. Population structure analysis and genome-wide association mapping were undertaken based on 16,383 silico DArTs loci with < 10% missing data. The population evaluated was grouped into nine distinct genetic structures. Inter-chromosomal linkage disequilibrium showed the existence of linkage decay as physical distance increased. A total of 62 significant (P < 0.001) marker-trait associations (MTAs) were detected explaining more than 20% of the phenotypic variation observed under both drought-stressed and non-stressed conditions. Significant (P < 0.001) MTA event(s) were observed for DTH, PHT, SPL, SPS, and KPS; under both stressed and non-stressed conditions, while additional significant (P < 0.05) associations were observed for TKW, DTM and GYLD under non-stressed condition. The MTAs reported in this population could be useful to initiate marker-assisted selection (MAS) and targeted trait introgression of wheat under drought-stressed and non-stressed conditions, and for fine mapping and cloning of the underlying genes and QTL.
机译:本研究确定了用于耐旱育种的小麦农艺性状的种群结构和全基因组标记性状关联。使用分集阵列技术测序(DArTseq)协议对93种不同的面包小麦基因型进行了基因分型。抽穗日(DTH),成熟日(DTM),株高(PHT),穗长(SPL),每穗粒数(KPS),千粒重(TKW)本研究考虑了在干旱和非干旱条件下评估的谷物产量(GYLD)。人口结构分析和全基因组关联映射是基于16,383个硅DArTs位点进行的,数据缺失率小于10%。评估的人群分为九个不同的遗传结构。染色体间连锁不平衡表明随着物理距离的增加连锁衰变的存在。总共检测到62个显着(P <0.001)标记-性状关联(MTA),解释了在干旱胁迫和非胁迫条件下观察到的表型变异超过20%。对于DTH,PHT,SPL,SPS和KPS,观察到了显着(P <0.001)的MTA事件。在压力和非压力条件下,在非压力条件下观察到的TKW,DTM和GYLD具有显着的关联(P <0.05)。该种群中报道的MTA可能有助于启动干旱胁迫和非胁迫条件下小麦的标记辅助选择(MAS)和定向性状渗入,以及潜在基因和QTL的精细定位和克隆。

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