Mining biosynthetic gene clusters in Virgibacillus genomes
Journal article, 2019
RESULTS: A comparative genomics analysis based on Virgibacillus dokdonensis Bac330, Virgibacillus sp. Bac332 and Virgibacillus halodenitrificans Bac324 (isolated from the Red Sea) and six other previously reported Virgibacillus strains was performed. Orthology analysis was used to determine the core genomes as well as the accessory genome of the nine Virgibacillus strains. The analysis shows that the Red Sea strain Virgibacillus sp. Bac332 has the highest number of unique genes and genomic islands compared to other genomes included in this study. Focusing on biosynthetic gene clusters, we show how marine isolates, including those from the Red Sea, are more enriched with nonribosomal peptides compared to the other Virgibacillus species. We also found that most nonribosomal peptide synthases identified in the Virgibacillus strains are part of genomic regions that are potentially horizontally transferred.
CONCLUSIONS: The Red Sea Virgibacillus strains have a large number of biosynthetic genes in clusters that are not assigned to known products, indicating significant potential for the discovery of novel bioactive compounds. Also, having more modular synthetase units suggests that these strains are good candidates for experimental characterization of previously identified bioactive compounds as well. Future efforts will be directed towards establishing the properties of the potentially novel compounds encoded by the Red Sea specific trans-AT PKS/NRPS cluster and the type III PKS/NRPS cluster.
Bacteriocins
Nonribosomal peptides
Lanthipeptides
Genome-mining
Biosynthetic gene clusters
Polyketides
Antimicrobial
Virgibacillus
Bioinformatics
Author
Ghofran Othoum
King Abdullah University of Science and Technology (KAUST)
Washington University in St. Louis
Salim Bougouffa
King Abdullah University of Science and Technology (KAUST)
Ameerah Bokhari
King Abdullah University of Science and Technology (KAUST)
Feras F. Lafi
King Abdullah University of Science and Technology (KAUST)
Zayed University
T. Gojobori
King Abdullah University of Science and Technology (KAUST)
Heribert Hirt
King Abdullah University of Science and Technology (KAUST)
Ivan Mijakovic
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Technical University of Denmark (DTU)
Vladimir B. Bajic
King Abdullah University of Science and Technology (KAUST)
M. Essack
King Abdullah University of Science and Technology (KAUST)
BMC Genomics
14712164 (eISSN)
Vol. 20 1 696- 696Subject Categories
Microbiology
Microbiology in the medical area
Genetics
DOI
10.1186/s12864-019-6065-7
PubMed
31481022