Insights into the genomic features and lifestyle of B1 subcluster mycobacteriophages

Bacteriophages infecting Mycobacterium smegmatis mc2155 are numerous and, hence, are classified into clusters based on nucleotide sequence similarity. Analyzing phages belonging to clusters/subclusters can help gain deeper insights into their biological features and potential therapeutic application...

Full description

Saved in:
Bibliographic Details
Published in:Journal of basic microbiology 2024-06, Vol.64 (6), p.e2400027-n/a
Main Authors: Das, Ritam, Arora, Ritu, Nadar, Kanika, Saroj, Saroj, Singh, Amit K., Patil, Shripad A., Raman, Sunil K., Misra, Amit, Bajpai, Urmi
Format: Article
Language:English
Subjects:
B1 subcluster
biofilm
Biofilms - growth & development
evolution
Genome, Viral - genetics
Genomics
hypothetical proteins
Lysogeny
mycobacteriophage
Mycobacteriophages - genetics
Mycobacteriophages - physiology
Mycobacterium smegmatis - genetics
Mycobacterium smegmatis - virology
Phylogeny
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Bacteriophages infecting Mycobacterium smegmatis mc2155 are numerous and, hence, are classified into clusters based on nucleotide sequence similarity. Analyzing phages belonging to clusters/subclusters can help gain deeper insights into their biological features and potential therapeutic applications. In this study, for genomic characterization of B1 subcluster mycobacteriophages, a framework of online tools was developed, which enabled functional annotation of about 55% of the previously deemed hypothetical proteins in B1 phages. We also studied the phenotype, lysogeny status, and antimycobacterial activity of 10 B1 phages against biofilm and an antibiotic‐resistant M. smegmatis strain (4XR1). All 10 phages belonged to the Siphoviridae family, appeared temperate based on their spontaneous release from the putative lysogens and showed antibiofilm activity. The highest inhibitory and disruptive effects on biofilm were 64% and 46%, respectively. This systematic characterization using a combination of genomic and experimental tools is a promising approach to furthering our understanding of viral dark matter.
ISSN:0233-111X
1521-4028
DOI:10.1002/jobm.202400027