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Identification of genomic regions for grain yield and yield stability and their epistatic interactions

机译:鉴定谷物产量和产量稳定性的基因组区域及其上位相互作用

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摘要

The task of identifying genomic regions conferring yield stability is challenging in any crop and requires large experimental data sets in conjunction with complex analytical approaches. We report findings of a first attempt to identify genomic regions with stable expression and their individual epistatic interactions for grain yield and yield stability in a large elite panel of wheat under multiple environments via a genome wide association mapping (GWAM) approach. Seven hundred and twenty lines were genotyped using genotyping-by-sequencing technology and phenotyped for grain yield and phenological traits. High gene diversity (0.250) and a moderate genetic structure (five groups) in the panel provided an excellent base for GWAM. The mixed linear model and multi-locus mixed model analyses identified key genomic regions on chromosomes 2B, 3A, 4A, 5B, 7A and 7B. Further, significant epistatic interactions were observed among loci with and without main effects that contributed to additional variation of up to 10%. Simple stepwise regression provided the most significant main effect and epistatic markers resulting in up to 20% variation for yield stability and up to 17% gain in yield with the best allelic combination.
机译:鉴定赋予产量稳定性的基因组区域的任务在任何作物中都是具有挑战性的,需要大量的实验数据集以及复杂的分析方法。我们报告了第一次尝试发现具有稳定表达的基因组区域的发现,以及通过多种基因组范围的关联映射(GWAM)方法在多种环境下的小麦的大型精英小组中为谷物产量和产量稳定性确定的个体上位相互作用。利用测序技术对720条品系进行了基因分型,并对谷物产量和物候性状进行了表型分析。小组中的高基因多样性(0.250)和中等遗传结构(五个组)为GWAM提供了极好的基础。混合线性模型和多基因座混合模型分析确定了染色体2B,3A,4A,5B,7A和7B上的关键基因组区域。此外,在有和没有主效应的基因座之间观察到显着的上位性相互作用,这导致高达10%的额外变异。简单的逐步回归提供了最显着的主效应和上位标记,从而导致最佳等位基因组合产生高达20%的产量稳定性变异,并获得高达17%的产量增益。

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