表型可塑性
遗传学
生物
数量性状位点
单核苷酸多态性
遗传变异
表型
特质
人口
基因型
遗传建筑学
候选基因
基因
进化生物学
人口学
社会学
计算机科学
程序设计语言
作者
Aaron Kusmec,Srikant Srinivasan,Dan Nettleton,Patrick S. Schnable
出处
期刊:Nature plants
[Nature Portfolio]
日期:2017-08-31
卷期号:3 (9): 715-723
被引量:131
标识
DOI:10.1038/s41477-017-0007-7
摘要
Phenotypic plasticity describes the phenotypic variation of a trait when a genotype is exposed to different environments. Understanding the genetic control of phenotypic plasticity in crops such as maize is of paramount importance for maintaining and increasing yields in a world experiencing climate change. Here, we report the results of genome-wide association analyses of multiple phenotypes and two measures of phenotypic plasticity in a maize nested association mapping (US-NAM) population grown in multiple environments and genotyped with ~2.5 million single-nucleotide polymorphisms. We show that across all traits the candidate genes for mean phenotype values and plasticity measures form structurally and functionally distinct groups. Such independent genetic control suggests that breeders will be able to select semi-independently for mean phenotype values and plasticity, thereby generating varieties with both high mean phenotype values and levels of plasticity that are appropriate for the target performance environments. Whether phenotypic mean values and plasticity share similar genetic architectures remains elusive. A study examining multiple traits in a maize NAM population using GWAS showed that genes underlying mean and plasticity measures form distinct groups.
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