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应用进化:基于系统发育的天然产物研究方法。

Applied evolution: phylogeny-based approaches in natural products research.

机构信息

Applied Natural Products Genome Mining, Interfaculty Institute of Microbiology and Infection Medicine Tuebingen (IMIT), University of Tuebingen, Auf der Morgenstelle 28, 72076 Tuebingen, Germany.

Bioinformatics Group, Wageningen University, Wageningen, The Netherlands.

出版信息

Nat Prod Rep. 2019 Sep 1;36(9):1295-1312. doi: 10.1039/c9np00027e. Epub 2019 Sep 2.

Abstract

Covering: up to 2019Phylogenetic methods become increasingly important in natural product research. The growing amount of genetic data available today is enabling us to infer the evolutionary history of secondary metabolite gene clusters and their encoded compounds. We are starting to understand patterns and mechanisms of how the enormous diversity of chemical compounds produced by nature has evolved and are able to use phylogenetic inference to facilitate functional predictions of involved enzymes. In this review, we highlight how phylogenetic methods can aid natural product discovery and predictions and demonstrate several examples how these have been used in the past. We are featuring a number of easy to use tools that aid tree building and analysis and are providing a short overview how to create and interpret a phylogenetic tree.

摘要

涵盖

截至 2019 年

系统发育方法在天然产物研究中变得越来越重要。如今,可用的遗传数据越来越多,使我们能够推断次生代谢物基因簇及其编码化合物的进化历史。我们开始了解自然界产生的大量化合物的多样性是如何进化的,并能够利用系统发育推断来促进相关酶的功能预测。在这篇综述中,我们强调了系统发育方法如何有助于天然产物的发现和预测,并展示了过去使用这些方法的一些例子。我们重点介绍了一些易于使用的工具,这些工具可辅助构建和分析系统发育树,并简要概述了如何创建和解释系统发育树。

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