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PMID: 22584627 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

PhiSpy: a novel algorithm for finding prophages in bacterial genomes that combines similarity- and composition-based strategies.

Nucleic acids research ·Vol. 40 ·No. 16 ·2012-09-00 ·Pages e126

Akhter S, Aziz RK, Edwards RA

Abstract

Prophages are phages in lysogeny that are integrated into, and replicated as part of, the host bacterial genome. These mobile elements can have tremendous impact on their bacterial hosts' genomes and phenotypes, which may lead to strain emergence and diversification, increased virulence or antibiotic resistance. However, finding prophages in microbial genomes remains a problem with no definitive solution. The majority of existing tools rely on detecting genomic regions enriched in protein-coding genes with known phage homologs, which hinders the de novo discovery of phage regions. In this study, a weighted phage detection algorithm, PhiSpy was developed based on seven distinctive characteristics of prophages, i.e. protein length, transcription strand directionality, customized AT and GC skew, the abundance of unique phage words, phage insertion points and the similarity of phage proteins. The first five characteristics are capable of identifying prophages without any sequence similarity with known phage genes. PhiSpy locates prophages by ranking genomic regions enriched in distinctive phage traits, which leads to the successful prediction of 94% of prophages in 50 complete bacterial genomes with a 6% false-negative rate and a 0.66% false-positive rate.

MeSH Terms
Algorithms Base Composition Codon DNA, Bacterial/chemistry Genome, Bacterial Prophages/genetics Transcription, Genetic Viral Proteins/genetics
Chemicals
Codon DNA, Bacterial Viral Proteins
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Akhter Sajia
Computational Science Research Center, Department of Computer Science, San Diego State University, San Diego, CA 92182, USA. [email protected]
Aziz Ramy K
Edwards Robert A
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
Published
2012-09-00
Epub
2012-00-14
Pages
e126
Language
English
Region
England
NLM ID
0411011
PMCID
PMC3439882
Subset
IM
Analysis Services
Analysis Services

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