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ABA 基因调控网络的分歧是生长控制差异的基础。

Divergence in the ABA gene regulatory network underlies differential growth control.

机构信息

Department of Biology, Stanford University, Stanford, CA, USA.

Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.

出版信息

Nat Plants. 2022 May;8(5):549-560. doi: 10.1038/s41477-022-01139-5. Epub 2022 May 2.

Abstract

The phytohormone abscisic acid (ABA) is a central regulator of acclimation to environmental stress; however, its contribution to differences in stress tolerance between species is unclear. To establish a comparative framework for understanding how stress hormone signalling pathways diverge across species, we studied the growth response of four Brassicaceae species to ABA treatment and generated transcriptomic and DNA affinity purification and sequencing datasets to construct a cross-species gene regulatory network (GRN) for ABA. Comparison of genes bound directly by ABA-responsive element binding factors suggests that cis-factors are most important for determining the target loci represented in the ABA GRN of a particular species. Using this GRN, we reveal how rewiring of growth hormone subnetworks contributes to stark differences in the response to ABA in the extremophyte Schrenkiella parvula. Our study provides a model for understanding how divergence in gene regulation can lead to species-specific physiological outcomes in response to hormonal cues.

摘要

植物激素脱落酸(ABA)是适应环境胁迫的中心调节剂;然而,其对物种间胁迫耐受性差异的贡献尚不清楚。为了建立一个比较框架,以了解应激激素信号通路在物种间是如何分化的,我们研究了四种十字花科植物对 ABA 处理的生长反应,并生成了转录组和 DNA 亲和纯化和测序数据集,以构建 ABA 的跨物种基因调控网络(GRN)。直接受 ABA 反应元件结合因子结合的基因的比较表明,顺式因子对于确定特定物种 ABA GRN 中代表的靶位基因是最重要的。利用这个 GRN,我们揭示了生长激素子网的重布线如何导致极端微生物 Schrenkiella parvula 对 ABA 的反应产生明显差异。我们的研究为理解基因调控的差异如何导致对激素信号的响应产生特定于物种的生理结果提供了一个模型。

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