Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.19/967
Título: Codon-triplet context unveils unique features of the Candida albicans protein coding genome
Autor: Moura, Gabriela
Lousado, José
Pinheiro, Miguel
Carreto, Laura
Silva, Raquel
Oliveira, José
Santos, Manuel
Palavras-chave: Algorithms
Amino Acid Sequence
Base Sequence
Computational Biology/methods
Data: 29-Nov-2007
Editora: Biomed Central
Relatório da Série N.º: 8;
Resumo: BACKGROUND: 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. RESULTS: 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. Candida albicans 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. CONCLUSION: 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.
Peer review: yes
URI: http://hdl.handle.net/10400.19/967
ISSN: 1471-2164
Aparece nas colecções:ESTGL - DETICCF - Artigos publicados em revista científica

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