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Pseudofinder: Detection of Pseudogenes in Prokaryotic 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. Ident...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336565/ https://www.ncbi.nlm.nih.gov/pubmed/35801562 http://dx.doi.org/10.1093/molbev/msac153 |
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author | Syberg-Olsen, Mitchell J Garber, Arkadiy I Keeling, Patrick J McCutcheon, John P Husnik, Filip |
author_facet | Syberg-Olsen, Mitchell J Garber, Arkadiy I Keeling, Patrick J McCutcheon, John P Husnik, Filip |
author_sort | Syberg-Olsen, Mitchell J |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9336565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-93365652022-07-29 Pseudofinder: Detection of Pseudogenes in Prokaryotic Genomes Syberg-Olsen, Mitchell J Garber, Arkadiy I Keeling, Patrick J McCutcheon, John P Husnik, Filip Mol Biol Evol Methods 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. Oxford University Press 2022-07-08 /pmc/articles/PMC9336565/ /pubmed/35801562 http://dx.doi.org/10.1093/molbev/msac153 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Syberg-Olsen, Mitchell J Garber, Arkadiy I Keeling, Patrick J McCutcheon, John P Husnik, Filip Pseudofinder: Detection of Pseudogenes in Prokaryotic Genomes |
title | Pseudofinder: Detection of Pseudogenes in Prokaryotic Genomes |
title_full | Pseudofinder: Detection of Pseudogenes in Prokaryotic Genomes |
title_fullStr | Pseudofinder: Detection of Pseudogenes in Prokaryotic Genomes |
title_full_unstemmed | Pseudofinder: Detection of Pseudogenes in Prokaryotic Genomes |
title_short | Pseudofinder: Detection of Pseudogenes in Prokaryotic Genomes |
title_sort | pseudofinder: detection of pseudogenes in prokaryotic genomes |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336565/ https://www.ncbi.nlm.nih.gov/pubmed/35801562 http://dx.doi.org/10.1093/molbev/msac153 |
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