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Genome-wide association for grain yield under rainfed conditions in historical wheat cultivars from Pakistan

机译:巴基斯坦历史小麦品种在雨育条件下谷物产量的全基因组关联

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摘要

Genome-wide association studies (GWAS) were undertaken to identify SNP markers associated with yield and yield-related traits in 123 Pakistani historical wheat cultivars evaluated during 2011–2014 seasons under rainfed field conditions. The population was genotyped by using high-density Illumina iSelect 90K single nucleotide polymorphism (SNP) assay, and finally 14,960 high quality SNPs were used in GWAS. Population structure examined using 1000 unlinked markers identified seven subpopulations (K = 7) that were representative of different breeding programs in Pakistan, in addition to local landraces. Forty four stable marker-trait associations (MTAs) with -log p > 4 were identified for nine yield-related traits. Nine multi-trait MTAs were found on chromosomes 1AL, 1BS, 2AL, 2BS, 2BL, 4BL, 5BL, 6AL, and 6BL, and those on 5BL and 6AL were stable across two seasons. Gene annotation and syntey identified that 14 trait-associated SNPs were linked to genes having significant importance in plant development. Favorable alleles for days to heading (DH), plant height (PH), thousand grain weight (TGW), and grain yield (GY) showed minor additive effects and their frequencies were slightly higher in cultivars released after 2000. However, no selection pressure on any favorable allele was identified. These genomic regions identified have historically contributed to achieve yield gains from 2.63 million tons in 1947 to 25.7 million tons in 2015. Future breeding strategies can be devised to initiate marker assisted breeding to accumulate these favorable alleles of SNPs associated with yield-related traits to increase grain yield. Additionally, in silico identification of 454-contigs corresponding to MTAs will facilitate fine mapping and subsequent cloning of candidate genes and functional marker development.
机译:进行了全基因组关联研究(GWAS),以鉴定在雨育田间条件下于2011-2014年评估的123个巴基斯坦历史小麦品种中与产量和产量相关性状相关的SNP标记。使用高密度Illumina iSelect 90K单核苷酸多态性(SNP)分析对种群进行基因分型,最后在GWAS中使用了14,960个高质量SNP。使用1000个未关联的标记检查的种群结构确定了7个亚种群(K = 7),除了当地的地方品种外,它们还代表了巴基斯坦不同的育种计划。对于9个与产量相关的性状,确定了-log p> 4的44个稳定的标记-性状关联(MTA)。在1AL,1BS,2AL,2BS,2BL,4BL,5BL,6AL和6BL染色体上发现了9个多性状MTA,而在5BL和6AL染色体上两个季节均保持稳定。基因注释和合成鉴定出14个与性状相关的SNP与在植物发育中具有重要意义的基因相关。抽穗期(DH),株高(PH),千粒重(TGW)和籽粒产量(GY)等天的有利等位基因显示出较小的累加效应,并且在2000年后发布的品种中其频率略高。但是,没有选择压力确定了任何有利的等位基因。从历史上看,这些确定的基因组区域在过去一直为实现增产做出了贡献,从1947年的263万吨增加到2015年的2570万吨。可以设计未来的育种策略来启动标记辅助育种,以积累与产量相关性状相关的SNP有利等位基因,从而增加谷物产量。另外,对与MTA对应的454个重叠群进行计算机鉴定将有助于精细定位,候选基因的后续克隆以及功能标记的开发。

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