4.8 Article

Pseudofinder: Detection of Pseudogenes in Prokaryotic Genomes

期刊

MOLECULAR BIOLOGY AND EVOLUTION
卷 39, 期 7, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/molbev/msac153

关键词

dN; dS; bacteria; archaea; genome; pseudogene; annotation; prediction

资金

  1. Natural Sciences and Engineering Research Council of Canada [2019-04042]
  2. Gordon and Betty Moore Foundation
  3. US National Science Foundation [IOS-1553529]
  4. National Aeronautics and Space Administration Astrobiology Institute [NNA15BB04A]
  5. Japan Society for the Promotion of Science (JSPS) KAKENHI [JP20K22672, JP21K15094]

向作者/读者索取更多资源

Pseudofinder is an open-source software for detecting and analyzing pseudogenes in bacterial and archaeal genomes. The software's multi-pronged, reference-based approach allows it to detect a wide variety of pseudogenes, including highly degraded ones missed by gene-calling pipelines, as well as newly formed pseudogenes with few inactivating mutations. Additionally, Pseudofinder can identify genes that lack inactivating substitutions but experience relaxed selection. Implementation of Pseudofinder in annotation pipelines enables more precise estimation of the functional potential of sequenced microbes and generates new hypotheses about the evolutionary dynamics of bacterial and archaeal genomes.
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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