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基于代谢组学的根内生真菌化学分类学及其天然产物的发现

Metabolomics-based chemotaxonomy of root endophytic fungi for natural products discovery.

机构信息

Institute of Ecology, Evolution and Diversity, Goethe Universität Frankfurt, Max-von-Laue-Str. 13, Frankfurt am Main, 60438, Germany.

Integrative Fungal Research Cluster (IPF), Frankfurt am Main, Germany.

出版信息

Environ Microbiol. 2018 Mar;20(3):1253-1270. doi: 10.1111/1462-2920.14072. Epub 2018 Mar 14.

Abstract

Fungi are prolific producers of natural products routinely screened for biotechnological applications, and those living endophytically within plants attract particular attention because of their purported chemical diversity. However, the harnessing of their biosynthetic potential is hampered by a large and often cryptic phylogenetic and ecological diversity, coupled with a lack of large-scale natural products' dereplication studies. To guide efforts to discover new chemistries among root-endophytic fungi, we analyzed the natural products produced by 822 strains using an untargeted UPLC-ESI-MS/MS-based approach and linked the patterns of chemical features to fungal lineages. We detected 17 809 compounds of which 7951 were classified in 1992 molecular families, whereas the remaining were considered unique chemistries. Our approach allowed to annotate 1191 compounds with different degrees of accuracy, many of which had known fungal origins. Approximately 61% of the compounds were specific of a fungal order, and differences were observed across lineages in the diversity and characteristics of their chemistries. Chemical profiles also showed variable chemosystematic values across lineages, ranging from relative homogeneity to high heterogeneity among related fungi. Our results provide an extensive resource to dereplicate fungal natural products and may assist future discovery programs by providing a guide for the selection of target fungi.

摘要

真菌是天然产物的丰富生产者,经常被筛选用于生物技术应用,而那些生活在植物体内的内生真菌因其所谓的化学多样性而引起特别关注。然而,由于其庞大而通常隐蔽的系统发育和生态多样性,以及缺乏大规模的天然产物去重复研究,其生物合成潜力的利用受到了阻碍。为了指导从根内生真菌中发现新化学物质的努力,我们使用非靶向 UPLC-ESI-MS/MS 方法分析了 822 株菌株产生的天然产物,并将化学特征模式与真菌谱系联系起来。我们检测到 17809 种化合物,其中 7951 种被分类为 1992 种分子家族,而其余的则被认为是独特的化学物质。我们的方法允许对不同准确度的 1191 种化合物进行注释,其中许多具有已知的真菌起源。大约 61%的化合物是特定于一个真菌目,并且在不同的谱系中观察到它们的化学物质的多样性和特征存在差异。化学图谱还显示了谱系之间化学系统学值的可变性,从相关真菌之间的相对同质性到高度异质性不等。我们的研究结果提供了一个广泛的去重复真菌天然产物的资源,并且可以通过为目标真菌的选择提供指导,为未来的发现计划提供帮助。

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