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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...

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Autores principales: Syberg-Olsen, Mitchell J, Garber, Arkadiy I, Keeling, Patrick J, McCutcheon, John P, Husnik, Filip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
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.
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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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