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新陈代谢的进化:如何在基因组水平上检验进化假说。

The evolution of metabolism: How to test evolutionary hypotheses at the genomic level.

作者信息

Scossa Federico, Fernie Alisdair R

机构信息

Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476 Potsdam-Golm, Germany.

Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (CREA-GB), Via Ardeatina 546, 00178 Rome, Italy.

出版信息

Comput Struct Biotechnol J. 2020 Feb 20;18:482-500. doi: 10.1016/j.csbj.2020.02.009. eCollection 2020.

Abstract

The origin of primordial metabolism and its expansion to form the metabolic networks extant today represent excellent systems to study the impact of natural selection and the potential adaptive role of novel compounds. Here we present the current hypotheses made on the origin of life and ancestral metabolism and present the theories and mechanisms by which the large chemical diversity of plants might have emerged along evolution. In particular, we provide a survey of statistical methods that can be used to detect signatures of selection at the gene and population level, and discuss potential and limits of these methods for investigating patterns of molecular adaptation in plant metabolism.

摘要

原始代谢的起源及其扩展形成如今现存的代谢网络,是研究自然选择的影响以及新化合物潜在适应性作用的绝佳系统。在此,我们阐述了关于生命起源和祖先代谢的当前假说,并介绍了植物在进化过程中可能产生巨大化学多样性的理论和机制。特别是,我们概述了可用于在基因和种群水平检测选择特征的统计方法,并讨论了这些方法在研究植物代谢中分子适应模式方面的潜力和局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a36/7063335/d5fbcc4985c6/ga1.jpg

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