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StORF-Reporter: finding genes between genes
Large regions of prokaryotic genomes are currently without any annotation, in part due to well-established limitations of annotation tools. For example, it is routine for genes using alternative start codons to be misreported or completely omitted. Therefore, we present StORF-Reporter, a tool that t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682499/ https://www.ncbi.nlm.nih.gov/pubmed/37897345 http://dx.doi.org/10.1093/nar/gkad814 |
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author | Dimonaco, Nicholas J Clare, Amanda Kenobi, Kim Aubrey, Wayne Creevey, Christopher J |
author_facet | Dimonaco, Nicholas J Clare, Amanda Kenobi, Kim Aubrey, Wayne Creevey, Christopher J |
author_sort | Dimonaco, Nicholas J |
collection | PubMed |
description | Large regions of prokaryotic genomes are currently without any annotation, in part due to well-established limitations of annotation tools. For example, it is routine for genes using alternative start codons to be misreported or completely omitted. Therefore, we present StORF-Reporter, a tool that takes an annotated genome and returns regions that may contain missing CDS genes from unannotated regions. StORF-Reporter consists of two parts. The first begins with the extraction of unannotated regions from an annotated genome. Next, Stop-ORFs (StORFs) are identified in these unannotated regions. StORFs are open reading frames that are delimited by stop codons and thus can capture those genes most often missing in genome annotations. We show this methodology recovers genes missing from canonical genome annotations. We inspect the results of the genomes of model organisms, the pangenome of Escherichia coli, and a set of 5109 prokaryotic genomes of 247 genera from the Ensembl Bacteria database. StORF-Reporter extended the core, soft-core and accessory gene collections, identified novel gene families and extended families into additional genera. The high levels of sequence conservation observed between genera suggest that many of these StORFs are likely to be functional genes that should now be considered for inclusion in canonical annotations. |
format | Online Article Text |
id | pubmed-10682499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106824992023-11-30 StORF-Reporter: finding genes between genes Dimonaco, Nicholas J Clare, Amanda Kenobi, Kim Aubrey, Wayne Creevey, Christopher J Nucleic Acids Res Data Resources and Analyses Large regions of prokaryotic genomes are currently without any annotation, in part due to well-established limitations of annotation tools. For example, it is routine for genes using alternative start codons to be misreported or completely omitted. Therefore, we present StORF-Reporter, a tool that takes an annotated genome and returns regions that may contain missing CDS genes from unannotated regions. StORF-Reporter consists of two parts. The first begins with the extraction of unannotated regions from an annotated genome. Next, Stop-ORFs (StORFs) are identified in these unannotated regions. StORFs are open reading frames that are delimited by stop codons and thus can capture those genes most often missing in genome annotations. We show this methodology recovers genes missing from canonical genome annotations. We inspect the results of the genomes of model organisms, the pangenome of Escherichia coli, and a set of 5109 prokaryotic genomes of 247 genera from the Ensembl Bacteria database. StORF-Reporter extended the core, soft-core and accessory gene collections, identified novel gene families and extended families into additional genera. The high levels of sequence conservation observed between genera suggest that many of these StORFs are likely to be functional genes that should now be considered for inclusion in canonical annotations. Oxford University Press 2023-10-28 /pmc/articles/PMC10682499/ /pubmed/37897345 http://dx.doi.org/10.1093/nar/gkad814 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 | Data Resources and Analyses Dimonaco, Nicholas J Clare, Amanda Kenobi, Kim Aubrey, Wayne Creevey, Christopher J StORF-Reporter: finding genes between genes |
title | StORF-Reporter: finding genes between genes |
title_full | StORF-Reporter: finding genes between genes |
title_fullStr | StORF-Reporter: finding genes between genes |
title_full_unstemmed | StORF-Reporter: finding genes between genes |
title_short | StORF-Reporter: finding genes between genes |
title_sort | storf-reporter: finding genes between genes |
topic | Data Resources and Analyses |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682499/ https://www.ncbi.nlm.nih.gov/pubmed/37897345 http://dx.doi.org/10.1093/nar/gkad814 |
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