Pangenome analysis of Enterobacteria reveals richness of secondary metabolite gene clusters and their associated gene sets
| Autor: | Omkar Satyavan Mohite, Jonathan M. Monk, Tilmann Weber, Bernhard O. Palsson, Colton J. Lloyd |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Siderophore
Enterobacteria Biomedical Engineering Secondary metabolite Genome Applied Microbiology and Biotechnology Workflow Secretion systems SDG 3 - Good Health and Well-being Nonribosomal peptide Structural Biology Escherichia medicine Genetics Gene Pangenome analysis Type VI secretion system chemistry.chemical_classification biology Phylum Secondary metabolites Colibactin biology.organism_classification chemistry medicine.drug |
| Zdroj: | Mohite, O S, Lloyd, C J, Monk, J M, Weber, T & Palsson, B O 2022, ' Pangenome analysis of Enterobacteria reveals richness of secondary metabolite gene clusters and their associated gene sets ', Synthetic and Systems Biotechnology, vol. 7, no. 3, pp. 900-910 . https://doi.org/10.1016/j.synbio.2022.04.011 |
| ISSN: | 2405-805X |
| Popis: | The growing number of sequenced genomes enables the study of secondary metabolite biosynthetic gene clusters (BGC) in phyla beyond well-studied soil bacteria. We mined 2627 enterobacterial genomes to detect 8604 BGCs, including nonribosomal peptide synthetases, siderophores, polyketide-nonribosomal peptide hybrids, and 60 other BGC types, with an average of around 3.3 BGCs per genome. These BGCs represented 212 distinct BGC families, of which only 20 have associated products in the MIBiG standard database with functions such as siderophores, antibiotics, and genotoxins. Pangenome analysis identified genes associated with a specific BGC encoding for colon cancer-related colibactin. In one example, we associated genes involved in the type VI secretion system with the presence of a colibactin BGC inEscherichia. This richness of BGCs in enterobacteria opens up the possibility to discover novel secondary metabolites, their physiological roles and provides a guide to identify and understand PKS associated gene sets. |
| Databáze: | OpenAIRE |
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