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iNID: An Analytical Framework for Identifying Network Models for Interplays among Developmental Signaling in Arabidopsis

机译:iNID:识别拟南芥中发展信号之间相互作用的网络模型的分析框架

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摘要

Integration of internal and external cues into developmental programs is indispensable for growth and development of plants, which involve complex interplays among signaling pathways activated by the internal and external factors (IEFs). However, decoding these complex interplays is still challenging. Here, we present a web-based platform that identifies key regulators and Network models delineating Interplays among Developmental signaling (iNID) in Arabidopsis. iNID provides a comprehensive resource of (1) transcriptomes previously collected under the conditions treated with a broad spectrum of IEFs and (2) protein and genetic interactome data in Arabidopsis. In addition, iNID provides an array of tools for identifying key regulators and network models related to interplays among IEFs using transcriptome and interactome data. To demonstrate the utility of iNID, we investigated the interplays of (1) phytohormones and light and (2) phytohormones and biotic stresses. The results revealed 34 potential regulators of the interplays, some of which have not been reported in association with the interplays, and also network models that delineate the involvement of the 34 regulators in the interplays, providing novel insights into the interplays collectively defined by phytohormones, light, and biotic stresses. We then experimentally verified that BME3 and TEM1, among the selected regulators, are involved in the auxin-brassinosteroid (BR)-blue light interplay. Therefore, iNID serves as a useful tool to provide a basis for understanding interplays among IEFs.
机译:内部和外部线索整合到发育程序中对于植物的生长和发育是必不可少的,这涉及到由内部和外部因素(IEF)激活的信号传导途径之间的复杂相互作用。然而,解码这些复杂的相互作用仍然具有挑战性。在这里,我们介绍了一个基于Web的平台,该平台可识别关键调节器和网络模型,该模型描述了拟南芥中的发育信号(iNID)之间的相互作用。 iNID提供了以下方面的全面资源:(1)先前在用广泛的IEF处理的条件下收集的转录组,以及(2)拟南芥中的蛋白质和遗传相互作用组数据。此外,iNID提供了一系列工具,可使用转录组和交互组数据来识别与IEF之间的相互作用有关的关键调节剂和网络模型。为了证明iNID的实用性,我们研究了(1)植物激素与光照和(2)植物激素与生物胁迫之间的相互作用。结果揭示了34种相互作用的潜在调控因子,其中一些尚未与相互作用相互作用相关的报道,并且网络模型描述了34种调控因子参与相互作用的过程,从而为植物激素共同定义的相互作用提供了新颖的见解,光和生物压力。然后,我们通过实验验证了所选调节剂中的BME3和TEM1参与了生长素-油菜素甾体(BR)-蓝光相互作用。因此,iNID是有用的工具,可为理解IEF之间的相互作用提供基础。

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