Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nikolaichik, Yevgeny, Damienikan, Aliaksandr U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
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
_version_ 1782434837730164736
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
work_keys_str_mv AT nikolaichikyevgeny sigmoidauserfriendlytoolforimprovingbacterialgenomeannotationthroughanalysisoftranscriptioncontrolsignals
AT damienikanaliaksandru sigmoidauserfriendlytoolforimprovingbacterialgenomeannotationthroughanalysisoftranscriptioncontrolsignals