Genetic variation for adaptive evolution in response to changed environments in plants

生物 生态型 适应(眼睛) 局部适应 进化生物学 基因组学 自然选择 基因 非生物成分 基因组 生态学 选择(遗传算法) 遗传学 神经科学 社会学 人工智能 人口 人口学 计算机科学
作者
Jing Hou,Meng Liu,Kai Yang,Bao Liu,Jianquan Liu,Huanhuan Liu
出处
期刊:Journal of Integrative Plant Biology [Wiley]
被引量:2
标识
DOI:10.1111/jipb.13961
摘要

ABSTRACT Plants adapt to their local environments through natural or artificial selection of optimal phenotypes. Recent advances in genomics and computational biology, which integrate phenotypic and multi‐omics data, have facilitated the rapid identification of key genes and allelic variations that underlie these adaptive evolutionary processes. Understanding the underlying molecular mechanisms has significantly enhanced our knowledge of how plants respond to changed habitats, including various biotic and abiotic stresses. In this review, we highlight recent progress in elucidating the genetic basis of phenotypic variation in morphological traits and stress responses, as well as the emergence of new ecotypes, subspecies, and species during adaptive evolution across varied environments. This occurs through allelic divergences in both coding and non‐coding regions in both model and non‐model plants. Furthermore, the terrestrialization and early diversification of land plants involved the acquisition of additional genes, primarily through horizontal gene transfer and whole‐genome duplication, which facilitated the development of complex molecular pathways to adapt to increasingly diverse environments. Finally, we discuss emerging trends and prospects for exploring and utilizing beneficial alleles for environmental adaptation, to guide crop breeding efforts in response to global climate change.
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