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Multivariate genetic analysis of plant responses to water deficit and high temperature revealed contrasting adaptive strategies

机译:植物对水分亏缺和高温反应的多元遗传分析显示了不同的适应策略

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摘要

How genetic factors control plant performance under stressful environmental conditions is a central question in ecology and for crop breeding. A multivariate framework was developed to examine the genetic architecture of performance-related traits in response to interacting environmental stresses. Ecophysiological and life history traits were quantified in the Arabidopsis thaliana Ler×Cvi mapping population exposed to constant soil water deficit and high air temperature. The plasticity of the genetic variance–covariance matrix (>G-matrix) was examined using mixed-effects models after regression into principal components. Quantitative trait locus (QTL) analysis was performed on the predictors of genotype effects and genotype by environment interactions (G×E). Three QTLs previously identified for flowering time had antagonistic G×E effects on carbon acquisition and the other traits (phenology, growth, leaf morphology, and transpiration). This resulted in a size-dependent response of water use efficiency (WUE) to high temperature but not soil water deficit, indicating that most of the plasticity of carbon acquisition and WUE to temperature is controlled by the loci that control variation of development, size, growth, and transpiration. A fourth QTL, MSAT2.22, controlled the response of carbon acquisition to specific combinations of watering and temperature irrespective of plant size and development, growth, and transpiration rate, which resulted in size-independent plasticity of WUE. These findings highlight how the strategies to optimize plant performance may differ in response to water deficit and high temperature (or their combination), and how different G×E effects could be targeted to improve plant tolerance to these stresses.
机译:遗传因素如何在压力环境条件下控制植物生长是生态学和作物育种的中心问题。开发了一个多变量框架来检查与环境压力相互作用的与性能相关的性状的遗传结构。在暴露于恒定土壤缺水和高空气温度的拟南芥Ler×Cvi作图种群中对生态生理和生活史特征进行了定量。回归主成分后,使用混合效应模型检查了遗传方差-协方差矩阵(> G -矩阵)的可塑性。通过环境相互作用(G×E)对基因型效应和基因型的预测因子进行定量性状基因座(QTL)分析。先前确定的开花时间的三个QTL对碳吸收和其他特征(物候,生长,叶片形态和蒸腾作用)具有拮抗的G×E效应。这导致了水分利用效率(WUE)对高温的大小依赖性响应,但对土壤缺水没有响应,这表明碳捕获和WUE对温度的大部分可塑性都由控制发育,大小,生长和蒸腾作用。第四个QTL MSAT2.22控制碳获取对浇水和温度的特定组合的响应,而与植物的大小,发育,生长和蒸腾速率无关,这导致WUE的大小独立于可塑性。这些发现强调了优化植物性能的策略可能会因缺水和高温(或其组合)而有所不同,以及如何针对不同的G×E效应提高植物对这些胁迫的耐受性。

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