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Reverse Engineering: A Key Component of Systems Biology to Unravel Global Abiotic Stress Cross-Talk

机译:逆向工程:系统生物学的关键组成部分以解开全球非生物胁迫交叉对话

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摘要

Understanding the global abiotic stress response is an important stepping stone for the development of universal stress tolerance in plants in the era of climate change. Although co-occurrence of several stress factors (abiotic and biotic) in nature is found to be frequent, current attempts are poor to understand the complex physiological processes impacting plant growth under combinatory factors. In this review article, we discuss the recent advances of reverse engineering approaches that led to seminal discoveries of key candidate regulatory genes involved in cross-talk of abiotic stress responses and summarized the available tools of reverse engineering and its relevant application. Among the universally induced regulators involved in various abiotic stress responses, we highlight the importance of (i) abscisic acid (ABA) and jasmonic acid (JA) hormonal cross-talks and (ii) the central role of WRKY transcription factors (TF), potentially mediating both abiotic and biotic stress responses. Such interactome networks help not only to derive hypotheses but also play a vital role in identifying key regulatory targets and interconnected hormonal responses. To explore the full potential of gene network inference in the area of abiotic stress tolerance, we need to validate hypotheses by implementing time-dependent gene expression data from genetically engineered plants with modulated expression of target genes. We further propose to combine information on gene-by-gene interactions with data from physical interaction platforms such as protein–protein or TF-gene networks.
机译:了解全球非生物胁迫响应是在气候变化时代发展植物普遍胁迫耐受性的重要踏脚石。尽管自然界中经常同时存在几种胁迫因素(非生物和生物),但目前尚无法了解在组合因素下影响植物生长的复杂生理过程。在这篇综述文章中,我们讨论了逆向工程方法的最新进展,这些进展导致了涉及非生物胁迫响应的串扰的关键候选调控基因的开创性发现,并总结了逆向工程的可用工具及其相关应用。在涉及各种非生物胁迫响应的普遍诱导的调节剂中,我们强调(i)脱落酸(ABA)和茉莉酸(JA)激素串扰的重要性,以及(ii)WRKY转录因子(TF)的中心作用,可能介导非生物和生物应激反应。这种相互作用组网络不仅有助于推导假设,而且在确定关键的调控靶标和相互联系的激素反应中也起着至关重要的作用。为了探索在非生物胁迫耐受性方面基因网络推断的全部潜力,我们需要通过实施来自具有目标基因调节表达的基因工程植物的时变基因表达数据来验证假设。我们进一步建议将有关基因间相互作用的信息与来自物理相互作用平台(例如蛋白质-蛋白质或TF-基因网络)的数据结合起来。

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