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Evolution along the parasitism-mutualism continuum determines the genetic repertoire of prophages.
Khan, Amjad; Burmeister, Alita R; Wahl, Lindi M.
Afiliação
  • Khan A; Department of Applied Mathematics, Western University, London, Ontario, Canada.
  • Burmeister AR; Department of Ecology and Evolution, Yale University, New Haven, Connecticut, USA.
  • Wahl LM; BEACON Center for the Study of Evolution in Action, East Lansing, Michigan, USA.
PLoS Comput Biol ; 16(12): e1008482, 2020 12.
Article em En | MEDLINE | ID: mdl-33275597
Integrated into their bacterial hosts' genomes, prophage sequences exhibit a wide diversity of length and gene content, from highly degraded cryptic sequences to intact, functional prophages that retain a full complement of lytic-function genes. We apply three approaches-bioinformatics, analytical modelling and computational simulation-to understand the diverse gene content of prophages. In the bioinformatics work, we examine the distributions of over 50,000 annotated prophage genes identified in 1384 prophage sequences, comparing the gene repertoires of intact and incomplete prophages. These data indicate that genes involved in the replication, packaging, and release of phage particles have been preferentially lost in incomplete prophages, while tail fiber, transposase and integrase genes are significantly enriched. Consistent with these results, our mathematical and computational approaches predict that genes involved in phage lytic function are preferentially lost, resulting in shorter prophages that often retain genes that benefit the host. Informed by these models, we offer novel hypotheses for the enrichment of integrase and transposase genes in cryptic prophages. Overall, we demonstrate that functional and cryptic prophages represent a diversity of genetic sequences that evolve along a parasitism-mutualism continuum.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prófagos / Genes Virais Tipo de estudo: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prófagos / Genes Virais Tipo de estudo: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Canadá