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水稻盐胁迫响应的系统基因组学

Systems genomics of salinity stress response in rice.

作者信息

Gupta Sonal, Niels Groen Simon, Zaidem Maricris L, Sajise Andres Godwin C, Calic Irina, Natividad Mignon, McNally Kenneth, Vergara Georgina V, Satija Rahul, Franks Steven J, Singh Rakesh K, Joly-Lopez Zoé, Purugganan Michael D

机构信息

Center for Genomics and Systems Biology, New York University, New York, United States.

Department of Nematology and Department of Botany & Plant Sciences, University of California, Riverside, Riverside, United States.

出版信息

Elife. 2025 Feb 20;13:RP99352. doi: 10.7554/eLife.99352.

Abstract

Populations can adapt to stressful environments through changes in gene expression. However, the fitness effect of gene expression in mediating stress response and adaptation remains largely unexplored. Here, we use an integrative field dataset obtained from 780 plants of ssp. (rice) grown in a field experiment under normal or moderate salt stress conditions to examine selection and evolution of gene expression variation under salinity stress conditions. We find that salinity stress induces increased selective pressure on gene expression. Further, we show that -eQTLs rather than -eQTLs are primarily associated with rice's gene expression under salinity stress, potentially via a few master-regulators. Importantly, and contrary to the expectations, we find that reinforcement is more common than compensation which may be reflective of rice diversification subsequent to domestication. We further identify genetic fixation as the likely mechanism underlying this compensation/reinforcement. Additionally, we show that - and -eQTLs are under balancing and purifying selection, respectively, giving us insights into the evolutionary dynamics of gene expression variation. By examining genomic, transcriptomic, and phenotypic variation across a rice population, we gain insights into the molecular and genetic landscape underlying adaptive salinity stress responses, which is relevant for other crops and other stresses.

摘要

种群可以通过基因表达的变化来适应压力环境。然而,基因表达在介导应激反应和适应过程中的适应性效应在很大程度上仍未得到探索。在这里,我们使用从780株 亚种(水稻)获得的综合田间数据集,这些水稻在正常或中度盐胁迫条件下的田间试验中生长,以研究盐胁迫条件下基因表达变异的选择和进化。我们发现盐胁迫会增加对基因表达的选择压力。此外,我们表明,在盐胁迫下,顺式-eQTL而非反式-eQTL主要与水稻的基因表达相关,这可能是通过一些主调控因子实现的。重要的是,与预期相反,我们发现强化比补偿更常见,这可能反映了驯化后水稻的多样化。我们进一步确定基因固定是这种补偿/强化背后的可能机制。此外,我们表明,反式-eQTL和顺式-eQTL分别处于平衡选择和纯化选择之下,这让我们深入了解了基因表达变异的进化动态。通过研究水稻种群中的基因组、转录组和表型变异,我们深入了解了适应性盐胁迫反应背后的分子和遗传景观,这与其他作物和其他胁迫相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7f2/11841989/dcfa2993e1b9/elife-99352-fig1.jpg

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