In silico exploration of Red Sea Bacillus genomes for natural product biosynthetic gene clusters
Journal article, 2018

Background: The increasing spectrum of multidrug-resistant bacteria is a major global public health concern, necessitating discovery of novel antimicrobial agents. Here, members of the genus Bacillus are investigated as a potentially attractive source of novel antibiotics due to their broad spectrum of antimicrobial activities. We specifically focus on a computational analysis of the distinctive biosynthetic potential of Bacillus paralicheniformis strains isolated from the Red Sea, an ecosystem exposed to adverse, highly saline and hot conditions. Results: We report the complete circular and annotated genomes of two Red Sea strains, B. paralicheniformis Bac48 isolated from mangrove mud and B. paralicheniformis Bac84 isolated from microbial mat collected from Rabigh Harbor Lagoon in Saudi Arabia. Comparing the genomes of B. paralicheniformis Bac48 and B. paralicheniformis Bac84 with nine publicly available complete genomes of B. licheniformis and three genomes of B. paralicheniformis, revealed that all of the B. paralicheniformis strains in this study are more enriched in nonribosomal peptides (NRPs). We further report the first computationally identified trans-acyltransferase (trans-AT) nonribosomal peptide synthetase/polyketide synthase (PKS/ NRPS) cluster in strains of this species. Conclusions:B. paralicheniformis species have more genes associated with biosynthesis of antimicrobial bioactive compounds than other previously characterized species of B. licheniformis, which suggests that these species are better potential sources for novel antibiotics. Moreover, the genome of the Red Sea strain B. paralicheniformis Bac48 is more enriched in modular PKS genes compared to B. licheniformis strains and other B. paralicheniformis strains. This may be linked to adaptations that strains surviving in the Red Sea underwent to survive in the relatively hot and saline ecosystems.

Bioinformatics

Bacteriocins

Genome-mining

Bacillus licheniformis

Nonribosomal peptides

Bacillus paralicheniformis

Biosynthetic gene clusters

Antimicrobials

Lanthipeptides

Polyketides

Author

Ghofran Othoum

King Abdullah University of Science and Technology (KAUST)

Salim Bougouffa

King Abdullah University of Science and Technology (KAUST)

Rozaimi Razali

King Abdullah University of Science and Technology (KAUST)

Ameerah Bokhari

King Abdullah University of Science and Technology (KAUST)

Soha Alamoudi

King Abdulaziz University

André Antunes

Edge Hill University

Xin Gao

King Abdullah University of Science and Technology (KAUST)

Robert Hoehndorf

King Abdullah University of Science and Technology (KAUST)

Stefan T. Arold

King Abdullah University of Science and Technology (KAUST)

T. Gojobori

King Abdullah University of Science and Technology (KAUST)

Heribert Hirt

King Abdullah University of Science and Technology (KAUST)

Ivan Mijakovic

Technical University of Denmark (DTU)

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Vladimir B. Bajic

King Abdullah University of Science and Technology (KAUST)

Feras F. Lafi

King Abdullah University of Science and Technology (KAUST)

American University of Madaba

M. Essack

King Abdullah University of Science and Technology (KAUST)

BMC Genomics

14712164 (eISSN)

Vol. 19 1 382

Subject Categories

Microbiology

Microbiology in the medical area

Genetics

DOI

10.1186/s12864-018-4796-5

More information

Latest update

7/4/2018 1