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Systems Genetics of Environmental Response in the Mature Wheat Embryo

机译:小麦成熟胚环境响应的系统遗传学

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摘要

Quantitative phenotypic traits are influenced by genetic and environmental variables as well as the interaction between the two. Underlying genetic × environment interaction is the influence that the surrounding environment exerts on gene expression. Perturbation of gene expression by environmental factors manifests itself in alterations to gene co-expression networks and ultimately in phenotypic plasticity. Comparative gene co-expression networks have been used to uncover biological mechanisms that differentiate tissues or other biological factors. In this study, we have extended consensus and differential Weighted Gene Co-Expression Network Analysis to compare the influence of different growing environments on gene co-expression in the mature wheat (Triticum aestivum) embryo. This network approach was combined with mapping of individual gene expression QTL to examine the genetic control of environmentally static and variable gene expression. The approach is useful for gene expression experiments containing multiple environments and allowed for the identification of specific gene co-expression modules responsive to environmental factors. This procedure identified conserved coregulation of gene expression between environments related to basic developmental and cellular functions, including protein localization and catabolism, vesicle composition/trafficking, Golgi transport, and polysaccharide metabolism among others. Environmentally unique modules were found to contain genes with predicted functions in responding to abiotic and biotic environmental variables. These findings represent the first report using consensus and differential Weighted Gene Co-expression Network Analysis to characterize the influence of environment on coordinated transcriptional regulation.
机译:定量表型性状受遗传和环境变量以及两者之间的相互作用影响。潜在的基因×环境相互作用是周围环境对基因表达的影响。环境因素对基因表达的干扰表现为基因共表达网络的改变,最终表现为表型可塑性。比较基因共表达网络已用于揭示区分组织或其他生物学因素的生物学机制。在这项研究中,我们扩展了共识和差分加权基因共表达网络分析,以比较不同生长环境对成熟小麦(Triticum aestivum)胚胎中基因共表达的影响。该网络方法与单个基因表达QTL的定位相结合,以检查环境静态和可变基因表达的遗传控制。该方法对于包含多个环境的基因表达实验很有用,并且可以用于识别对环境因素有反应的特定基因共表达模块。该程序确定了与基本发育和细胞功能有关的环境之间基因表达的保守整合,包括蛋白质定位和分解代谢,囊泡组成/贩运,高尔基体运输和多糖代谢等。发现环境上独特的模块包含对非生物和生物环境变量具有预测功能的基因。这些发现代表了使用共识和差异加权基因共表达网络分析法表征环境对协调转录调控的影响的第一份报告。

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