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Pseudofinder: Detection of Pseudogenes in Prokaryotic Genomes.
Syberg-Olsen, Mitchell J; Garber, Arkadiy I; Keeling, Patrick J; McCutcheon, John P; Husnik, Filip.
Afiliación
  • Syberg-Olsen MJ; Department of Botany, University of British Columbia, Vancouver, BC, Canada.
  • Garber AI; Division of Biological Sciences, University of Montana, Missoula, MT, USA.
  • Keeling PJ; Department of Botany, University of British Columbia, Vancouver, BC, Canada.
  • McCutcheon JP; Division of Biological Sciences, University of Montana, Missoula, MT, USA.
  • Husnik F; Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, MD, USA.
Mol Biol Evol ; 39(7)2022 07 02.
Article en En | MEDLINE | ID: mdl-35801562
Prokaryotic genomes are usually densely packed with intact and functional genes. However, in certain contexts, such as after recent ecological shifts or extreme population bottlenecks, broken and nonfunctional gene fragments can quickly accumulate and form a substantial fraction of the genome. Identification of these broken genes, called pseudogenes, is a critical step for understanding the evolutionary forces acting upon, and the functional potential encoded within, prokaryotic genomes. Here, we present Pseudofinder, an open-source software dedicated to pseudogene identification and analysis in bacterial and archaeal genomes. We demonstrate that Pseudofinder's multi-pronged, reference-based approach can detect a wide variety of pseudogenes, including those that are highly degraded and typically missed by gene-calling pipelines, as well newly formed pseudogenes containing only one or a few inactivating mutations. Additionally, Pseudofinder can detect genes that lack inactivating substitutions but experiencing relaxed selection. Implementation of Pseudofinder in annotation pipelines will allow more precise estimations of the functional potential of sequenced microbes, while also generating new hypotheses related to the evolutionary dynamics of bacterial and archaeal genomes.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Seudogenes / Genoma Arqueal Tipo de estudio: Diagnostic_studies Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Seudogenes / Genoma Arqueal Tipo de estudio: Diagnostic_studies Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos