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SigmoID: a user-friendly tool for improving bacterial genome annotation through analysis of transcription control signals
The majority of bacterial genome annotations are currently automated and based on a ‘gene by gene’ approach. Regulatory signals and operon structures are rarely taken into account which often results in incomplete and even incorrect gene function assignments. Here we present SigmoID, a cross-platfor...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4888284/ https://www.ncbi.nlm.nih.gov/pubmed/27257541 http://dx.doi.org/10.7717/peerj.2056 |
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author | Nikolaichik, Yevgeny Damienikan, Aliaksandr U. |
author_facet | Nikolaichik, Yevgeny Damienikan, Aliaksandr U. |
author_sort | Nikolaichik, Yevgeny |
collection | PubMed |
description | The majority of bacterial genome annotations are currently automated and based on a ‘gene by gene’ approach. Regulatory signals and operon structures are rarely taken into account which often results in incomplete and even incorrect gene function assignments. Here we present SigmoID, a cross-platform (OS X, Linux and Windows) open-source application aiming at simplifying the identification of transcription regulatory sites (promoters, transcription factor binding sites and terminators) in bacterial genomes and providing assistance in correcting annotations in accordance with regulatory information. SigmoID combines a user-friendly graphical interface to well known command line tools with a genome browser for visualising regulatory elements in genomic context. Integrated access to online databases with regulatory information (RegPrecise and RegulonDB) and web-based search engines speeds up genome analysis and simplifies correction of genome annotation. We demonstrate some features of SigmoID by constructing a series of regulatory protein binding site profiles for two groups of bacteria: Soft Rot Enterobacteriaceae (Pectobacterium and Dickeya spp.) and Pseudomonas spp. Furthermore, we inferred over 900 transcription factor binding sites and alternative sigma factor promoters in the annotated genome of Pectobacterium atrosepticum. These regulatory signals control putative transcription units covering about 40% of the P. atrosepticum chromosome. Reviewing the annotation in cases where it didn’t fit with regulatory information allowed us to correct product and gene names for over 300 loci. |
format | Online Article Text |
id | pubmed-4888284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-48882842016-06-02 SigmoID: a user-friendly tool for improving bacterial genome annotation through analysis of transcription control signals Nikolaichik, Yevgeny Damienikan, Aliaksandr U. PeerJ Bioinformatics The majority of bacterial genome annotations are currently automated and based on a ‘gene by gene’ approach. Regulatory signals and operon structures are rarely taken into account which often results in incomplete and even incorrect gene function assignments. Here we present SigmoID, a cross-platform (OS X, Linux and Windows) open-source application aiming at simplifying the identification of transcription regulatory sites (promoters, transcription factor binding sites and terminators) in bacterial genomes and providing assistance in correcting annotations in accordance with regulatory information. SigmoID combines a user-friendly graphical interface to well known command line tools with a genome browser for visualising regulatory elements in genomic context. Integrated access to online databases with regulatory information (RegPrecise and RegulonDB) and web-based search engines speeds up genome analysis and simplifies correction of genome annotation. We demonstrate some features of SigmoID by constructing a series of regulatory protein binding site profiles for two groups of bacteria: Soft Rot Enterobacteriaceae (Pectobacterium and Dickeya spp.) and Pseudomonas spp. Furthermore, we inferred over 900 transcription factor binding sites and alternative sigma factor promoters in the annotated genome of Pectobacterium atrosepticum. These regulatory signals control putative transcription units covering about 40% of the P. atrosepticum chromosome. Reviewing the annotation in cases where it didn’t fit with regulatory information allowed us to correct product and gene names for over 300 loci. PeerJ Inc. 2016-05-24 /pmc/articles/PMC4888284/ /pubmed/27257541 http://dx.doi.org/10.7717/peerj.2056 Text en ©2016 Nikolaichik and Damienikan http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Nikolaichik, Yevgeny Damienikan, Aliaksandr U. SigmoID: a user-friendly tool for improving bacterial genome annotation through analysis of transcription control signals |
title | SigmoID: a user-friendly tool for improving bacterial genome annotation through analysis of transcription control signals |
title_full | SigmoID: a user-friendly tool for improving bacterial genome annotation through analysis of transcription control signals |
title_fullStr | SigmoID: a user-friendly tool for improving bacterial genome annotation through analysis of transcription control signals |
title_full_unstemmed | SigmoID: a user-friendly tool for improving bacterial genome annotation through analysis of transcription control signals |
title_short | SigmoID: a user-friendly tool for improving bacterial genome annotation through analysis of transcription control signals |
title_sort | sigmoid: a user-friendly tool for improving bacterial genome annotation through analysis of transcription control signals |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4888284/ https://www.ncbi.nlm.nih.gov/pubmed/27257541 http://dx.doi.org/10.7717/peerj.2056 |
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