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Nat Prod Rep. 2016 Aug 27;33(8):988-1005. doi: 10.1039/c6np00025h. Epub 2016 Jun 8.

The evolution of genome mining in microbes - a review.

Author information

1
Interfaculty Institute for Microbiology and Infection Medicine Tübingen (IMIT), Microbiology and Biotechnology, University of Tuebingen, Germany. nadine.ziemert@uni-tuebingen.de.

Abstract

Covering: 2006 to 2016The computational mining of genomes has become an important part in the discovery of novel natural products as drug leads. Thousands of bacterial genome sequences are publically available these days containing an even larger number and diversity of secondary metabolite gene clusters that await linkage to their encoded natural products. With the development of high-throughput sequencing methods and the wealth of DNA data available, a variety of genome mining methods and tools have been developed to guide discovery and characterisation of these compounds. This article reviews the development of these computational approaches during the last decade and shows how the revolution of next generation sequencing methods has led to an evolution of various genome mining approaches, techniques and tools. After a short introduction and brief overview of important milestones, this article will focus on the different approaches of mining genomes for secondary metabolites, from detecting biosynthetic genes to resistance based methods and "evo-mining" strategies including a short evaluation of the impact of the development of genome mining methods and tools on the field of natural products and microbial ecology.

PMID:
27272205
DOI:
10.1039/c6np00025h
[Indexed for MEDLINE]

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