Vialette-Guiraud Aurélie C M, Andres-Robin Amélie, Chambrier Pierre, Tavares Raquel, Scutt Charles P
Laboratoire de Reproduction et Développement des Plantes (UMR 5667 - CNRS/INRA/ENS-Lyon/université Lyon 1/université de Lyon), Ecole Normale Supérieure de Lyon, 46 allée d'Italie, 69364 Lyon Cedex 07, France.
Laboratoire de Biométrie et Biologie Évolutive (UMR 5558 - CNRS/université Lyon 1/université de Lyon), Bâtiment Gregor Mendel, 43 bd du 11 novembre 1918, 69622 Villeurbanne Cedex, France.
J Exp Bot. 2016 Apr;67(9):2549-63. doi: 10.1093/jxb/erw119. Epub 2016 Mar 22.
We provide an overview of methods and workflows that can be used to investigate the topologies of Gene Regulatory Networks (GRNs) in the context of plant evolutionary-developmental (evo-devo) biology. Many of the species that occupy key positions in plant phylogeny are poorly adapted as laboratory models and so we focus here on techniques that can be efficiently applied to both model and non-model species of interest to plant evo-devo. We outline methods that can be used to describe gene expression patterns and also to elucidate the transcriptional, post-transcriptional, and epigenetic regulatory mechanisms underlying these patterns, in any plant species with a sequenced genome. We furthermore describe how the technique of Protein Resurrection can be used to confirm inferences on ancestral GRNs and also to provide otherwise-inaccessible points of reference in evolutionary histories by exploiting paralogues generated in gene and whole genome duplication events. Finally, we argue for the better integration of molecular data with information from paleobotanical, paleoecological, and paleogeographical studies to provide the fullest possible picture of the processes that have shaped the evolution of plant development.
我们概述了可用于在植物进化发育(evo-devo)生物学背景下研究基因调控网络(GRN)拓扑结构的方法和工作流程。许多在植物系统发育中占据关键位置的物种不太适合作为实验室模型,因此我们在此重点关注可有效应用于植物进化发育研究中感兴趣的模型和非模型物种的技术。我们概述了可用于描述基因表达模式的方法,以及用于阐明任何具有测序基因组的植物物种中这些模式背后的转录、转录后和表观遗传调控机制的方法。此外,我们描述了如何利用蛋白质复活技术来确认对祖先GRN的推断,并通过利用基因和全基因组复制事件中产生的旁系同源物,在进化历史中提供其他无法获得的参考点。最后,我们主张更好地将分子数据与古植物学、古生态学和古地理学研究的信息整合起来,以尽可能全面地描绘塑造植物发育进化过程的全貌。