应用祖先序列重建了解植物特化代谢的进化。

IF 5.4 2区 生物学 Q1 BIOLOGY
Todd J Barkman
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引用次数: 0

摘要

对现代植物中酶的研究记录了当今物种所保留的代谢活动的多样性,但对这些特性是如何进化的了解却很有限。祖先序列重建(ASR)是一种提供古代植物酶序列统计估计值的方法,这种估计值可以用来检验催化活性和通路组装进化的假设。在此,我将回顾利用ASR研究植物新陈代谢所获得的启示,并强调重要的方法论方面。总体而言,对复活植物酶的研究表明:(i) 外适应是普遍存在的,因此即使是低水平或无法检测到的祖先底物活性,后来也可能成为后代酶的明显主要活性;(ii) 分子内外显性可能限制也可能不限制催化或底物偏好转换的进化路径;(iii) 古代途径通量往往不同于现代代谢网络。仅使用现代序列不可能从 ASR 中获得这些及其他见解。未来的 ASR 研究将描述整个祖先代谢网络的特征,并将古代结构与酶的特性联系起来,这些研究将继续为了解植物化学多样性的进化过程提供新的见解。本文是主题 "植物新陈代谢的进化 "的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of ancestral sequence reconstruction for understanding the evolution of plant specialized metabolism.

Studies of enzymes in modern-day plants have documented the diversity of metabolic activities retained by species today but only provide limited insight into how those properties evolved. Ancestral sequence reconstruction (ASR) is an approach that provides statistical estimates of ancient plant enzyme sequences which can then be resurrected to test hypotheses about the evolution of catalytic activities and pathway assembly. Here, I review the insights that have been obtained using ASR to study plant metabolism and highlight important methodological aspects. Overall, studies of resurrected plant enzymes show that (i) exaptation is widespread such that even low or undetectable levels of ancestral activity with a substrate can later become the apparent primary activity of descendant enzymes, (ii) intramolecular epistasis may or may not limit evolutionary paths towards catalytic or substrate preference switches, and (iii) ancient pathway flux often differs from modern-day metabolic networks. These and other insights gained from ASR would not have been possible using only modern-day sequences. Future ASR studies characterizing entire ancestral metabolic networks as well as those that link ancient structures with enzymatic properties should continue to provide novel insights into how the chemical diversity of plants evolved. This article is part of the theme issue 'The evolution of plant metabolism'.

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来源期刊
CiteScore
11.80
自引率
1.60%
发文量
365
审稿时长
3 months
期刊介绍: The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas): Organismal, environmental and evolutionary biology Neuroscience and cognition Cellular, molecular and developmental biology Health and disease.
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