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植物转录调控的全基因组系统发育比较分析:与复杂性相关的损失、获得、扩张和相关性的时间线。

Genome-wide phylogenetic comparative analysis of plant transcriptional regulation: a timeline of loss, gain, expansion, and correlation with complexity.

机构信息

Plant Biotechnology, Faculty of Biology, University of Freiburg, Freiburg, Germany.

出版信息

Genome Biol Evol. 2010 Jul 19;2:488-503. doi: 10.1093/gbe/evq032.

Abstract

Evolutionary retention of duplicated genes encoding transcription-associated proteins (TAPs, comprising transcription factors and other transcriptional regulators) has been hypothesized to be positively correlated with increasing morphological complexity and paleopolyploidizations, especially within the plant kingdom. Here, we present the most comprehensive set of classification rules for TAPs and its application for genome-wide analyses of plants and algae. Using a dated species tree and phylogenetic comparative (PC) analyses, we define the timeline of TAP loss, gain, and expansion among Viridiplantae and find that two major bursts of gain/expansion occurred, coinciding with the water-to-land transition and the radiation of flowering plants. For the first time, we provide PC proof for the long-standing hypothesis that TAPs are major driving forces behind the evolution of morphological complexity, the latter in Plantae being shaped significantly by polyploidization and subsequent biased paleolog retention. Principal component analysis incorporating the number of TAPs per genome provides an alternate and significant proxy for complexity, ideally suited for PC genomics. Our work lays the ground for further interrogation of the shaping of gene regulatory networks underlying the evolution of organism complexity.

摘要

进化保留了编码转录相关蛋白(TAPs,包括转录因子和其他转录调控因子)的重复基因,这与形态复杂性的增加和古多倍体化呈正相关,尤其是在植物界。在这里,我们提出了一套最全面的 TAP 分类规则,并将其应用于植物和藻类的全基因组分析。利用一个有时间标记的物种树和系统发育比较(PC)分析,我们定义了在Viridiplantae 中 TAP 缺失、获得和扩展的时间线,发现有两次主要的增益/扩张发生,与从水生到陆生的过渡以及开花植物的辐射相吻合。我们首次为 TAP 是形态复杂性进化的主要驱动力这一长期假设提供了 PC 证据,在植物界,多倍体化和随后的偏古基因保留显著影响了形态复杂性的进化。纳入每个基因组中 TAP 数量的主成分分析为复杂性提供了一个替代的、重要的代理指标,非常适合 PC 基因组学。我们的工作为进一步探究基因调控网络在生物复杂性进化中的形成奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23af/2997552/8f967770c22a/gbeevq032f01_3c.jpg

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