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Comput Struct Biotechnol J. 2015 Mar 24;13:192-203. doi: 10.1016/j.csbj.2015.03.003. eCollection 2015.

Genome mining: Prediction of lipopeptides and polyketides from Bacillus and related Firmicutes.

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1
AIT Austrian Institute of Technology GmbH, AIT, Health & Environment Department, Bioresources Unit, Konrad Lorenz Strasse 24, A-3430 Tulln, Austria.

Abstract

Bacillus and related genera in the Bacillales within the Firmicutes harbor a variety of secondary metabolite gene clusters encoding polyketide synthases and non-ribosomal peptide synthetases responsible for remarkable diverse number of polyketides (PKs) and lipopeptides (LPs). These compounds may be utilized for medical and agricultural applications. Here, we summarize the knowledge on structural diversity and underlying gene clusters of LPs and PKs in the Bacillales. Moreover, we evaluate by using published prediction tools the potential metabolic capacity of these bacteria to produce type I PKs or LPs. The huge sequence repository of bacterial genomes and metagenomes provides the basis for such genome-mining to reveal the potential for novel structurally diverse secondary metabolites. The otherwise cumbersome task to isolate often unstable PKs and deduce their structure can be streamlined. Using web based prediction tools, we identified here several novel clusters of PKs and LPs from genomes deposited in the database. Our analysis suggests that a substantial fraction of predicted LPs and type I PKs are uncharacterized, and their functions remain to be studied. Known and predicted LPs and PKs occurred in the majority of the plant associated genera, predominantly in Bacillus and Paenibacillus. Surprisingly, many genera from other environments contain no or few of such compounds indicating the role of these secondary metabolites in plant-associated niches.

KEYWORDS:

Genome mining; Lipopeptides; Non-ribosomal protein synthetase; Paenibacillus; Polyketides; Structure prediction

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