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特殊代谢的计算基因组学:从天然产物发现到微生物群落生态学

Computational Genomics of Specialized Metabolism: from Natural Product Discovery to Microbiome Ecology.

作者信息

Medema Marnix H

机构信息

Bioinformatics Group, Wageningen University, Wageningen, The Netherlands.

出版信息

mSystems. 2018 Mar 6;3(2). doi: 10.1128/mSystems.00182-17. eCollection 2018 Mar-Apr.

Abstract

Microbial and plant specialized metabolites, also known as natural products, are key mediators of microbe-microbe and host-microbe interactions and constitute a rich resource for drug development. In the past decade, genome mining has emerged as a prominent strategy for natural product discovery. Initially, such mining was performed on the basis of individual microbial genome sequences. Now, these efforts are being scaled up to fully genome-sequenced strain collections, pangenomes of bacterial genera, and large sets of metagenome-assembled genomes from microbial communities. The Medema research group aims to play a leading role in these developments by developing and applying computational approaches to identify, classify, and prioritize specialized metabolite biosynthetic gene clusters and pathways and to connect them to specific molecules and microbiome-associated phenotypes. Moreover, we are extending the scope of genome mining from microbes to plants, which will allow more comprehensive interpretation of the chemical language between hosts and microbes in a microbiome setting.

摘要

微生物和植物的特殊代谢产物,也被称为天然产物,是微生物与微生物以及宿主与微生物相互作用的关键介质,也是药物开发的丰富资源。在过去十年中,基因组挖掘已成为天然产物发现的一项突出策略。最初,这种挖掘是基于单个微生物基因组序列进行的。现在,这些工作正在扩大到全基因组测序的菌株集合、细菌属的泛基因组以及来自微生物群落的大量宏基因组组装基因组。梅德马研究小组旨在通过开发和应用计算方法来识别、分类和优先排序特殊代谢产物生物合成基因簇和途径,并将它们与特定分子和微生物组相关表型联系起来,在这些发展中发挥主导作用。此外,我们正在将基因组挖掘的范围从微生物扩展到植物,这将使我们能够在微生物组环境中更全面地解读宿主与微生物之间的化学语言。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/5853187/e3b8aba84e01/sys0021821760001.jpg

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