PhageFinder

PhageFinder identifies and classifies prophage regions in completed bacterial genomes to enable detection and characterization of prophages.


Key Features:

  • Prophage identification: Identifies prophage regions within completed bacterial genomes.
  • Classification: Classifies identified prophage regions.
  • Algorithmic approach: Implemented as a heuristic computer program.
  • Performance: Evaluated on 42 bacterial genomes with manually identified prophages, detecting 91% of prophage regions with 7% false positives and 9% false negatives.
  • Large-scale screening: Applied to 302 complete bacterial genomes, predicting 403 putative prophage regions comprising approximately 2.7% of the analyzed bacterial DNA.
  • Integration site analysis: Analyzed 285 putative attachment sites and reported target distributions of tRNAs (33%), intergenic regions (31%), intragenic regions (28%), and tmRNAs (8%).
  • Targeted tRNAs: Most commonly targeted tRNAs include Arginine (Arg), Leucine (Leu), Serine (Ser), and Threonine (Thr).
  • Insertion point mapping: Mapped novel insertion points on the 5' side of the D loop, the 3' side of the anticodon loop, and within the anticodon.
  • Phylogenetic analysis: Constructs phylogenetic trees based on the mean of the BLAST score ratio (BSR) of phage/prophage proteomes.

Scientific Applications:

  • Prophage detection: Detection and classification of prophage regions in completed bacterial genomes.
  • Genome-scale surveys: Prediction and cataloging of putative prophage regions across large sets of complete bacterial genomes.
  • Integration site profiling: Mapping and statistical characterization of prophage attachment sites, including tRNAs and tmRNAs.
  • Phylogenetic characterization: Reconstruction of phage/prophage relationships using mean BSR-based phylogenetic trees to verify bacteriophage groups.
  • Prophage relationship analysis: Comparative analysis of prophage proteomes to inform understanding of prophage groupings and relationships.

Methodology:

Implemented as a heuristic computer program and constructs phylogenetic trees using the mean BLAST score ratio (BSR) of phage/prophage proteomes.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Perl
Added:
12/18/2017
Last Updated:
12/10/2018

Operations

Publications

Fouts DE. Phage_Finder: Automated identification and classification of prophage regions in complete bacterial genome sequences. Nucleic Acids Research. 2006;34(20):5839-5851. doi:10.1093/nar/gkl732. PMID:17062630. PMCID:PMC1635311.

Documentation

Links