Genome mining for ribosomally synthesized and post-translationally modified peptides (RiPPs) in anaerobic bacteria

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Abstract

Background: Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a diverse group of biologically active bacterial molecules. Due to the conserved genomic arrangement of many of the genes involved in their synthesis, these secondary metabolite biosynthetic pathways can be predicted from genome sequence data. To date, however, despite the myriad of sequenced genomes covering many branches of the bacterial phylogenetic tree, such an analysis for a broader group of bacteria like anaerobes has not been attempted. Results: We investigated a collection of 211 complete and published genomes, focusing on anaerobic bacteria, whose potential to encode RiPPs is relatively unknown. We showed that the presence of RiPP-genes is widespread among anaerobic representatives of the phyla Actinobacteria, Proteobacteria and Firmicutes and that, collectively, anaerobes possess the ability to synthesize a broad variety of different RiPP classes. More than 25% of anaerobes are capable of producing RiPPs either alone or in conjunction with other secondary metabolites, such as polyketides or non-ribosomal peptides. Conclusion: Amongst the analyzed genomes, several gene clusters encode uncharacterized RiPPs, whilst others show similarity with known RiPPs. These include a number of potential class II lanthipeptides; head-to-tail cyclized peptides and lactococcin 972-like RiPP. This study presents further evidence in support of anaerobic bacteria as an untapped natural products reservoir.

Figures

  • Table 1 Distribution of the presence of PKS/NRPS/RiPPs according to phyla
  • Figure 1 Potential of anaerobic bacteria for PKS/NRPS/RiPP productio for secondary metabolite production; percentage of strains containing: no PKS/NRPS (yellow); only RiPP (red) B Distribution of secondary metabolite con production (no PKS/NRPS/RiPP genes (green); both PKS/NRPS and RiPP genes are additionally divided into Clostridia and others.
  • Table 2 Distribution of different RiPPs according to phylum
  • Figure 2 Distribution of different RiPP biosynthetic gene clusters by h (soil/mud) (red); extreme (green); other (purple); pathogenic (orange); non- pa
  • Figure 3 Lichenicidin-like lanthipeptides. A Lichenicidin biosynthetic ge gene clusters of C. botulinum H04402 065 and C. cellulovorans 743B; Numbers each organism. B Comparison of lichenicidin peptide precursors (LicA1 and L (H04402_00614 and H04402_00615) and C. cellulovorans 743B (Clocel_4229 an leader sequence and core peptide (bold) C Formation of lanthionine (lan) and residues to dehydroalanine (dha) / dehydrobutyrine (dhb) and subsequen structure of lichenicidin α-subunit (Bliα).
  • Table 3 Detected putative lanthipeptide gene clusters
  • Figure 4 Detected putative lanthipeptide gene clusters sorted by similar biosynthetic origin. Numbers represent the locus tag for each gene within the genome sequence of each organism.
  • Figure 5 Detected putative sactipeptides. A Thuricidin CD gene cluster (tm) of B. thuringiensis DPC 6431 and subtilosin A gene cluster (alb) of B. subtilis 168 in comparison to detected putative sactipeptide gene clusters; Numbers represent the locus tag for each gene within the genome sequence of each organism. B Amino acid structure of thuricin CD α-subunit (Trnα) C Characteristic sulfur bridge between a cysteine residue and the α-carbon of another residue in sactipeptides.

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Genomic charting of ribosomally synthesized natural product chemical space facilitates targeted mining

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Letzel, A. C., Pidot, S. J., & Hertweck, C. (2014). Genome mining for ribosomally synthesized and post-translationally modified peptides (RiPPs) in anaerobic bacteria. BMC Genomics, 15(1). https://doi.org/10.1186/1471-2164-15-983

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