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CBDB: The codon bias database

BACKGROUND: In many genomes, a clear preference in the usage of particular codons exists. The mechanisms that induce codon biases remain an open question; studies have attributed codon usage to translational selection, mutational bias and drift. Furthermore, correlations between codon usage within h...

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Autores principales: Hilterbrand, Adam, Saelens, Joseph, Putonti, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3463423/
https://www.ncbi.nlm.nih.gov/pubmed/22536831
http://dx.doi.org/10.1186/1471-2105-13-62
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author Hilterbrand, Adam
Saelens, Joseph
Putonti, Catherine
author_facet Hilterbrand, Adam
Saelens, Joseph
Putonti, Catherine
author_sort Hilterbrand, Adam
collection PubMed
description BACKGROUND: In many genomes, a clear preference in the usage of particular codons exists. The mechanisms that induce codon biases remain an open question; studies have attributed codon usage to translational selection, mutational bias and drift. Furthermore, correlations between codon usage within host genomes and their viral pathogens have been observed for a myriad of host-virus systems. As such, numerous studies have investigated codon usage and codon bias in an effort to better understand how species evolve. Numerous metrics have been developed to identify biases in codon usage. In addition, a few data repositories of codon bias data are available, differing in the metrics reported as well as the number and taxonomy of strains examined. DESCRIPTION: We have created a new web resource called the Codon Bias Database (CBDB) which provides information regarding the codon bias within the set of highly expressed genes for 300+ bacterial genomes. CBDB was developed to provide a resource for researchers investigating codon bias in bacteria, facilitating comparisons between strains and species. Furthermore, the site was created to serve those studying adaptation in phage; the genera selected for this first release of CBDB all have sequenced, annotated bacteriophages. The annotations and sequences for the highly expressed gene set are available for each strain in addition to the strain’s codon bias measurements. CONCLUSIONS: Comparing species and strains provides a comprehensive look at how codon usage has been shaped over evolutionary time and can elucidate the putative mechanisms behind it. The Codon Bias Database provides a centralized repository of look-up tables and codon usage bias measures for a wide variety of genera, species and strains. Through our analysis of the variation in codon usage within the strains presently available, we find that most members of a genus have a codon composition most similar to other members of its genus, although not necessarily other members of its species.
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spelling pubmed-34634232012-10-05 CBDB: The codon bias database Hilterbrand, Adam Saelens, Joseph Putonti, Catherine BMC Bioinformatics Database BACKGROUND: In many genomes, a clear preference in the usage of particular codons exists. The mechanisms that induce codon biases remain an open question; studies have attributed codon usage to translational selection, mutational bias and drift. Furthermore, correlations between codon usage within host genomes and their viral pathogens have been observed for a myriad of host-virus systems. As such, numerous studies have investigated codon usage and codon bias in an effort to better understand how species evolve. Numerous metrics have been developed to identify biases in codon usage. In addition, a few data repositories of codon bias data are available, differing in the metrics reported as well as the number and taxonomy of strains examined. DESCRIPTION: We have created a new web resource called the Codon Bias Database (CBDB) which provides information regarding the codon bias within the set of highly expressed genes for 300+ bacterial genomes. CBDB was developed to provide a resource for researchers investigating codon bias in bacteria, facilitating comparisons between strains and species. Furthermore, the site was created to serve those studying adaptation in phage; the genera selected for this first release of CBDB all have sequenced, annotated bacteriophages. The annotations and sequences for the highly expressed gene set are available for each strain in addition to the strain’s codon bias measurements. CONCLUSIONS: Comparing species and strains provides a comprehensive look at how codon usage has been shaped over evolutionary time and can elucidate the putative mechanisms behind it. The Codon Bias Database provides a centralized repository of look-up tables and codon usage bias measures for a wide variety of genera, species and strains. Through our analysis of the variation in codon usage within the strains presently available, we find that most members of a genus have a codon composition most similar to other members of its genus, although not necessarily other members of its species. BioMed Central 2012-04-26 /pmc/articles/PMC3463423/ /pubmed/22536831 http://dx.doi.org/10.1186/1471-2105-13-62 Text en Copyright ©2012 Hilterbrand et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Hilterbrand, Adam
Saelens, Joseph
Putonti, Catherine
CBDB: The codon bias database
title CBDB: The codon bias database
title_full CBDB: The codon bias database
title_fullStr CBDB: The codon bias database
title_full_unstemmed CBDB: The codon bias database
title_short CBDB: The codon bias database
title_sort cbdb: the codon bias database
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3463423/
https://www.ncbi.nlm.nih.gov/pubmed/22536831
http://dx.doi.org/10.1186/1471-2105-13-62
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