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Genome-Wide Analyses Reveal Footprints of Divergent Selection and Drought Adaptive Traits in Synthetic-Derived Wheats

机译:全基因组分析揭示合成小麦的不同选择和干旱适应性状的足迹

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摘要

Crop-wild introgressions have long been exploited without knowing the favorable recombination points. Synthetic hexaploid wheats are one of the most exploited genetic resources for bread wheat improvement. However, despite some QTL with major effects, much less is known about genome-wide patterns of introgressions and their effects on phenotypes. We used two genome-wide association approaches: SNP-GWAS and haplotype-GWAS to identify SNPs and haplotypes associated with productivity under water-limited conditions in a synthetic-derived wheat (SYN-DER) population. Haplotype-GWAS further enriched and identified 20 more genomic regions associated with drought adaptability that did not overlap with SNP-GWAS. Since GWAS is biased to the phenotypes in the study and may fail to detect important genetic diversity during breeding, we used five complementary analytical approaches (t-test, Tajima’s D, nucleotide diversity (π), Fst, and EigenGWAS) to identify divergent selections in SYN-DER compared to modern bread wheat. These approaches consistently pinpointed 89 ‘selective sweeps’, out of which 30 selection loci were identified on D-genome. These key selections co-localized with important functional genes of adaptive traits such as TaElf3-D1 (1D) for earliness per se (Eps), TaCKX-D1 (3D), TaGS1a (6D) and TaGS-D1 (7D) for grain size, weight and morphology, TaCwi-D1 (5D) influencing drought tolerance, and Vrn-D3 (7D) for vernalization. Furthermore, 55 SNPs and 23 haplotypes of agronomic and physiological importance such as grain yield, relative water content and thousand grain weight in SYN-DER, were among the top 5% of divergent selections contributed by synthetic hexaploid wheats. These divergent selections associated with improved agronomic performance carry new alleles that have been introduced to wheat. Our results demonstrated that GWAS and selection sweep analyses are powerful approaches for investigating favorable introgressions under strong selection pressure and the use of crop-wild hybridization to assist the improvement of wheat yield and productivity under moisture limiting environments.
机译:长期以来,人们一直在利用农作物种质的渗入而不了解有利的重组点。合成六倍体小麦是用于改良面包小麦的最广泛利用的遗传资源之一。但是,尽管有一些QTL具有重大影响,但对全基因组渗入模式及其对表型的影响知之甚少。我们使用了两种全基因组关联方法:SNP-GWAS和单倍型-GWAS,以鉴定与水相关的人工合成小麦(SYN-DER)群体中与生产力相关的SNP和单倍型。单倍型-GWAS进一步丰富和鉴定了20个与干旱适应性相关的基因组区域,这些区域与SNP-GWAS不重叠。由于GWAS在研究中偏向表型,并且可能无法在育种过程中检测到重要的遗传多样性,因此我们使用了五种互补的分析方法(t检验,Tajima D,核苷酸多样性(π),Fst和EigenGWAS)来识别不同的选择。在SYN-DER中与现代面包小麦相比。这些方法一致地确定了89个“选择性扫描”,在D基因组中鉴定出30个选择位点。这些关键选择与适应性状的重要功能基因共定位,例如TaElf3-D1(1D)本身(Eps),TaCKX-D1(3D),TaGS1a(6D)和TaGS-D1(7D)用于谷物大小,重量和形态,影响耐旱性的TaCwi-D1(5D)和用于春化处理的Vrn-D3(7D)。此外,在合成六倍体小麦贡献的发散选择中,前55%的55个SNP和23个在农业和生理上具有重要意义的单倍型(如谷物产量,相对含水量和千粒重)均位于发散选择的前5%。这些与改良农艺性能相关的不同选择携带了已引入小麦的新等位基因。我们的结果表明,GWAS和选择扫描分析是研究在强选择压力下有利的渗入和利用作物野生杂交来帮助提高水分限制环境下小麦产量和生产力的有力方法。

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