Pangenome-scale annotation of mycobacteriophages for dissecting phage-host interactions based on a sequence clustering and structural homology analysis strategy.

ABSTRACT: With the increasing severity of bacterial drug resistance, there is a growing need for phages with well-defined genetic backgrounds to combat drug-resistant infections. Mycobacteriophages constitute the largest genome-sequenced phage group; however, the vast majority of these phage proteins have not yet been effectively annotated. In this study, we employed a structure-based similarity search approach to improve protein annotation. Through the application of this approach to 240,754 proteins from 2,169 mycobacteriophage genomes, we increased the protein annotation rate from 34% to 52.11%. Additionally, we identified a series of predicted counter-defense proteins, including anti-CRISPR proteins and antitoxins, and inferred the potential interaction network of phage-encoded proteins involved

SUBMITTER: Guo X 

PROVIDER: S-EPMC12363180 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature