模式草Brachypodium distachyon对土壤干燥的反应是基因调控中基因型与环境相互作用的结果

Jie Yun, Angela C Burnett, Alistair Rogers, David L Des Marais
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摘要

基因表达是受遗传和环境因素及其相互作用(即所谓的 GxE)控制的数量性状。了解 GxE 的驱动机制对于确保作物在不同环境中的稳定表现以及预测自然种群对气候变化的反应至关重要。基因表达是通过复杂的分子网络调控的,然而基因型和环境对全基因组调控网络的相互作用却很少被考虑。在本研究中,我们模拟了模式草Brachypodium distachyon的两个天然品种之间基因组尺度的基因表达变异及其对土壤干燥的响应。我们确定了生理、代谢和基因表达性状的基因型、环境和 GxE 反应。然后,我们确定了不同条件和基因型之间的基因调控保护和变异,简化为每种基因型和环境处理组合中的共表达群。推定的基因调控相互作用通过图形建模方法以网络边缘的形式推断出来,从而提出了基因与基因之间相互作用的假说,这种相互作用在一种基因型、一种处理方法或处理方法下的一种基因型中具有特异性或更高的亲和性。我们进一步发现,有些基因与基因之间的相互作用在不同条件下是一致的,因此一个基因的不同表达显然会传递给一个目标基因。这些检测到的不同边缘在共表达模块中聚集在一起,表明作用于特定通路的不同限制或选择强度。基因调控网络的这些可变特征可能代表了通过基因组编辑调节环境响应的候选基因,并提示了与表型可塑性相关的基因调控网络进化变化的可能目标。
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Genotype by environment interactions in gene regulation underlie the response to soil drying in the model grass Brachypodium distachyon
Gene expression is a quantitative trait under the control of genetic and environmental factors and their interaction, so-called GxE. Understanding the mechanisms driving GxE is fundamental for ensuring stable crop performance across environments and for predicting the response of natural populations to climate change. Gene expression is regulated through complex molecular networks, yet the interactions between genotype and environment on genome-wide regulatory networks are rarely considered. In this study, we model genome-scale gene expression variation between two natural accessions of the model grass Brachypodium distachyon and their response to soil drying. We identified genotypic, environmental, and GxE responses in physiological, metabolic, and gene expression traits. We then identified gene regulation conservation and variation among conditions and genotypes, simplified as co-expression clusters in each combination of genotype and environmental treatment. Putative gene regulatory interactions are inferred as network edges with a graphical modelling approach, resulting in hypotheses about gene-gene interactions specific to -- or with higher affinity in -- one genotype, one treatment, or in one genotype under treatment. We further find that some gene-gene interactions are conserved across conditions such that differential expression of one gene is apparently transmitted to a target gene. These variably detected edges cluster together in co-expression modules, suggestive of different constraints or selection strength acting on specific pathways. These variable features of gene regulatory networks may represent candidates modulate environmental response via genome editing, and suggest possible targets of evolutionary change in gene regulatory networks associated with phenotypic plasticity.
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