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Title

Insights from Shigella bacteriophage genomes analysis

 

Authors

Pratanu Kayet1, Surajit Bhattacharjee2, Shanta Dutta3 & Surajit Basak1,*

 

Affiliation

1Division of Bioinformatics, ICMR-National Institute for Research in Bacterial Infections, Kolkata, India; 2Department of Molecular Biology and Bioinformatics, Tripura University, Suryamani nagar-799022, Tripura, India; 3Division of Bacteriology, ICMR-National Institute for Research in Bacterial Infections, Kolkata, India; *Corresponding author

 

Email

Pratanu Kayet - E - mail: 1660178@kiitbiotech.ac.in
Surajit Bhattacharjee - E - mail: surajit77@tripurauniv.ac.in
Shanta Dutta - E - mail: shanta.niced@icmr.gov.in

Surajit Basak - E - mail: basak.surajit@icmr.gov.in; Phone: +91 9862924152

 

Article Type

Research Article

 

Date

Received December 1, 2024; Revised December 31, 2024; Accepted December 31, 2024, Published December 31, 2024

 

Abstract

Shigella species, a major cause of shigellosis, remain a substantial global health issue, and the emergence of antibiotic-resistant Shigella strains has aggravated the situation. Hence, four Shigella phages were investigated to provide insights into the evolutionary trajectories and genomic properties of Shigella-infecting bacteriophages using comparative genome analysis. Analysis shows that these four phages belong to the Tequatrovirus genus and include a considerable number of proteins for 'Tail' and "DNA, RNA, and Nucleotide Metabolism," indicating their aptitude for specialized host interaction and replication efficiency. The identification of 10 tRNAs further support that, these phages have high replication efficiency. Thus, this study improves our understanding of phage evolution by exposing the genetic mechanisms that drive phage adaptability and host specificity. This also highlights the significance of phage genomic research in developing viable therapies for antibiotic-resistant Shigella infections.

 

Keywords

Anti-CRISPR, shigella phage, functional category, tRNA, antimicrobial resistance (AMR).

 

Citation

Kayet et al. Bioinformation 20(12): 2050-2061 (2024)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.