生物
表型可塑性
特质
基因-环境相互作用
环境变化
进化生物学
数量性状位点
人口
环境压力
适应(眼睛)
表型
遗传多样性
可塑性
基因型
生态学
遗传学
基因
神经科学
气候变化
计算机科学
热力学
物理
社会学
人口学
程序设计语言
作者
Joseph D Napier,Robert W Heckman,Thomas E Juenger
标识
DOI:10.1093/plcell/koac322
摘要
Abstract Plants demonstrate a broad range of responses to environmental shifts. One of the most remarkable responses is plasticity, which is the ability of a single plant genotype to produce different phenotypes in response to environmental stimuli. As with all traits, the ability of plasticity to evolve depends on the presence of underlying genetic diversity within a population. A common approach for evaluating the role of genetic variation in driving differences in plasticity has been to study genotype-by-environment interactions (G × E). G × E occurs when genotypes produce different phenotypic trait values in response to different environments. In this review, we highlight progress and promising methods for identifying the key environmental and genetic drivers of G × E. Specifically, methodological advances in using algorithmic and multivariate approaches to understand key environmental drivers combined with new genomic innovations can greatly increase our understanding about molecular responses to environmental stimuli. These developing approaches can be applied to proliferating common garden networks that capture broad natural environmental gradients to unravel the underlying mechanisms of G × E. An increased understanding of G × E can be used to enhance the resilience and productivity of agronomic systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI