Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS

生物 驯化 适应(眼睛) 种质资源 生态遗传学 温带气候 局部适应 选择(遗传算法) 进化生物学 人口 群体基因组学 生态学 基因组学 生物技术 遗传学 基因 基因组 农学 计算机科学 社会学 人口学 人工智能 神经科学
作者
Jing Li,Guo‐Bo Chen,Awais Rasheed,Delin Li,Kai Sonder,Cristian Zavala Espinosa,Jiankang Wang,Denise E. Costich,Patrick S. Schnable,Sarah Hearne,Huihui Li
出处
期刊:Molecular Ecology [Wiley]
卷期号:28 (15): 3544-3560 被引量:27
标识
DOI:10.1111/mec.15169
摘要

Abstract Understanding the genomic basis of adaptation in maize is important for gene discovery and the improvement of breeding germplasm, but much remains a mystery in spite of significant population genetics and archaeological research. Identifying the signals underpinning adaptation are challenging as adaptation often coincided with genetic drift, and the base genomic diversity of the species in massive. In this study, tGBS technology was used to genotype 1,143 diverse maize accessions including landraces collected from 20 countries and elite breeding lines of tropical lowland, highland, subtropical/midaltitude and temperate ecological zones. Based on 355,442 high‐quality single nucleotide polymorphisms, 13 genomic regions were detected as being under selection using the bottom‐up searching strategy, EigenGWAS. Of the 13 selection regions, 10 were first reported, two were associated with environmental parameters via EnvGWAS, and 146 genes were enriched. Combining large‐scale genomic and ecological data in this diverse maize panel, our study supports a polygenic adaptation model of maize and offers a framework to enhance our understanding of both the mechanistic basis and the evolutionary consequences of maize domestication and adaptation. The regions identified here are promising candidates for further, targeted exploration to identify beneficial alleles and haplotypes for deployment in maize breeding.
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