Codon-triplet context unveils unique features of the <it>Candida albicans </it>protein coding genome

<p>Abstract</p> <p>Background</p> <p>The evolutionary forces that determine the arrangement of synonymous codons within open reading frames and fine tune mRNA translation efficiency are not yet understood. In order to tackle this question we have carried out a large sca...

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Main Authors: Oliveira José L, Silva Raquel M, Carreto Laura, Pinheiro Miguel, Lousado José P, Moura Gabriela R, Santos Manuel AS
Format: Article
Language:English
Published: BMC 2007-11-01
Series:BMC Genomics
Online Access:http://www.biomedcentral.com/1471-2164/8/444
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spelling doaj-2e21f885dc0545dc8ccf9200e7afeb1e2020-11-24T22:19:47ZengBMCBMC Genomics1471-21642007-11-018144410.1186/1471-2164-8-444Codon-triplet context unveils unique features of the <it>Candida albicans </it>protein coding genomeOliveira José LSilva Raquel MCarreto LauraPinheiro MiguelLousado José PMoura Gabriela RSantos Manuel AS<p>Abstract</p> <p>Background</p> <p>The evolutionary forces that determine the arrangement of synonymous codons within open reading frames and fine tune mRNA translation efficiency are not yet understood. In order to tackle this question we have carried out a large scale study of codon-triplet contexts in 11 fungal species to unravel associations or relationships between codons present at the ribosome A-, P- and E-sites during each decoding cycle.</p> <p>Results</p> <p>Our analysis unveiled high bias within the context of codon-triplets, in particular strong preference for triplets of identical codons. We have also identified a surprisingly large number of codon-triplet combinations that vanished from fungal ORFeomes. <it>Candida albicans </it>exacerbated these features, showed an unbalanced tRNA population for decoding its pool of codons and used near-cognate decoding for a large set of codons, suggesting that unique evolutionary forces shaped the evolution of its ORFeome.</p> <p>Conclusion</p> <p>We have developed bioinformatics tools for large-scale analysis of codon-triplet contexts. These algorithms identified codon-triplets context biases, allowed for large scale comparative codon-triplet analysis, and identified rules governing codon-triplet context. They could also detect alterations to the standard genetic code.</p> http://www.biomedcentral.com/1471-2164/8/444
collection DOAJ
language English
format Article
sources DOAJ
author Oliveira José L
Silva Raquel M
Carreto Laura
Pinheiro Miguel
Lousado José P
Moura Gabriela R
Santos Manuel AS
spellingShingle Oliveira José L
Silva Raquel M
Carreto Laura
Pinheiro Miguel
Lousado José P
Moura Gabriela R
Santos Manuel AS
Codon-triplet context unveils unique features of the <it>Candida albicans </it>protein coding genome
BMC Genomics
author_facet Oliveira José L
Silva Raquel M
Carreto Laura
Pinheiro Miguel
Lousado José P
Moura Gabriela R
Santos Manuel AS
author_sort Oliveira José L
title Codon-triplet context unveils unique features of the <it>Candida albicans </it>protein coding genome
title_short Codon-triplet context unveils unique features of the <it>Candida albicans </it>protein coding genome
title_full Codon-triplet context unveils unique features of the <it>Candida albicans </it>protein coding genome
title_fullStr Codon-triplet context unveils unique features of the <it>Candida albicans </it>protein coding genome
title_full_unstemmed Codon-triplet context unveils unique features of the <it>Candida albicans </it>protein coding genome
title_sort codon-triplet context unveils unique features of the <it>candida albicans </it>protein coding genome
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2007-11-01
description <p>Abstract</p> <p>Background</p> <p>The evolutionary forces that determine the arrangement of synonymous codons within open reading frames and fine tune mRNA translation efficiency are not yet understood. In order to tackle this question we have carried out a large scale study of codon-triplet contexts in 11 fungal species to unravel associations or relationships between codons present at the ribosome A-, P- and E-sites during each decoding cycle.</p> <p>Results</p> <p>Our analysis unveiled high bias within the context of codon-triplets, in particular strong preference for triplets of identical codons. We have also identified a surprisingly large number of codon-triplet combinations that vanished from fungal ORFeomes. <it>Candida albicans </it>exacerbated these features, showed an unbalanced tRNA population for decoding its pool of codons and used near-cognate decoding for a large set of codons, suggesting that unique evolutionary forces shaped the evolution of its ORFeome.</p> <p>Conclusion</p> <p>We have developed bioinformatics tools for large-scale analysis of codon-triplet contexts. These algorithms identified codon-triplets context biases, allowed for large scale comparative codon-triplet analysis, and identified rules governing codon-triplet context. They could also detect alterations to the standard genetic code.</p>
url http://www.biomedcentral.com/1471-2164/8/444
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