Faculty of Biology, University of Latvia
Hard copy: ISSN 1691–8088
On-line: ISSN 2255–9582
Environ Exp Biol (2024) 22: 79–86
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Environmental and

Environ Exp Biol (2024) 22: 79–86

Orginal Paper

Bioinformatic insights into the xenobiotic degradation potential gene clusters of fish-associated novel Bacillus velezensis SNR14-4

Sethu Madhavan1, Niveditha Dinesh1, Rashid N.R. Muhammed1, Deepa John2, Sini Hariharan3, Kottayath G. Nevin1,2*
1 Department of Marine Bioscience, Faculty of Ocean Science and Technology, Kerala University of Fisheries and Ocean Studies, Kochi 682506, India
2 Centre for Bioactive Substances from Marine Organisms, Kerala University of Fisheries and Ocean Studies, Kochi 682506, India
3 Department of Biochemistry, Government College, Kariavattom, Thiruvananthapuram, Kerala 695581, India
* Corresponding author, E-mail: nevinkg@kufos.ac.in


Bacillus velezensis is a member of the genus Bacillus, which harbours useful, novel, and efficient secondary metabolites that can be utilized in the disruption of xenobiotics. Although a few strains of B. velezensis and related species are reported every year as having xenobiotic metabolism potential, several novel gene clusters are still unexplored, which could be more potent than those already discovered. The current B. velezensis strain was isolated from gills of healthy Oreochromis niloticus and the novelty of the strain was assessed through whole genome sequence analysis. Prokka, DFAST, BAKTA, and RASTtk were computational tools utilized for genome elucidation following the genome assembly. Protein and protein pathway prediction was achieved through the PATRIC database. Additionally, the resistance genes against microorganisms were examined through CARD (via Proksee), bacteriocin, and RiPPs using BAGEL4, and forecast of virulence factors using VFDB in PATRIC. The analysis led to identification of indicator genes for xenobiotic breakdown. The results were compared to pre-existing strains of B. velezensis and it was compelling to conclude the high biotechnological potential and the candidacy of the strain in xenobiotic degradation.

Key words: Bacillus velezensis SNR14-4, bioinformatics, gene clusters, whole genome sequencing, xenobiotics.

Environ Exp Biol (2024) 22: 79–86
 DOI: http://doi.org/10.22364/eeb.22.08

Prof. Gederts Ievinsh
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