Large scale comparative genomics of codon context

Bibliographic Details
Main Author: Lousado, José
Publication Date: 2006
Other Authors: Moura, Gabriela, Pinheiro, Miguel, Oliveira, José, Santos, Manuel
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.19/1059
Summary: The efficiency of protein synthesis is highly dependent on codon usage and codon context. Indeed, the choice of particular synonymous codons is constrained by neighbour codons (codon context) to optimize mRNA decoding speed and accuracy. This is related to spatial (steric) effects created by the need to accommodate 3 tRNAs in the ribosome A-, P- and E-sites. Since these tRNAs interact with each other, with their cognate codons and with various structural domains of rRNAs, the structure of the 6 nucleotide RNA helix formed by the anticodon-codon interactions is strongly int1uenced by the type of codons and tRNAs present in the ribosome decoding centre. To ensure proper tRNA selection and correct codon decoding the rRNA monitors the structure of the codon-anticodon RNA helix. We hypothesized that large scale comparative analysis of 3 consecutive codons, corresponding to the ribosome A-, P- and E-sites codons, would unveil novel codon biases and "bad" codon combinations that are error prone. For this, we have built a software package that counts codon triplets in complete assemblies of open reading frames (ORFeomes) and used the ORFeome sequences of 12 fungal species, including Aspergillus fumigatus, Saccharomyces cerevisiae, and Candida albicans to validate our working hypothesis. We have used data mining methodologies to explore this large dataset of 220,000 combinations of 3 consecutive codons, and extracted the most biased contexts. The data showed that three-codon contexts are species-specific, although major context rules could also be found. Interestingly, biases introduced at DNA replication and transcription levels, namely trinucleotide repeats, play an important role in the evolution of ORFeomes. Candida albicans revealed unique features and very strong context biases. For example, codon triplet biases is much stronger in C. albicans than in other species and it has a very high number of consecutive codon repeats, which comprise up to 6% of the total ORFeome
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spelling Large scale comparative genomics of codon contextgenome AnalysisBioinformaticsThe efficiency of protein synthesis is highly dependent on codon usage and codon context. Indeed, the choice of particular synonymous codons is constrained by neighbour codons (codon context) to optimize mRNA decoding speed and accuracy. This is related to spatial (steric) effects created by the need to accommodate 3 tRNAs in the ribosome A-, P- and E-sites. Since these tRNAs interact with each other, with their cognate codons and with various structural domains of rRNAs, the structure of the 6 nucleotide RNA helix formed by the anticodon-codon interactions is strongly int1uenced by the type of codons and tRNAs present in the ribosome decoding centre. To ensure proper tRNA selection and correct codon decoding the rRNA monitors the structure of the codon-anticodon RNA helix. We hypothesized that large scale comparative analysis of 3 consecutive codons, corresponding to the ribosome A-, P- and E-sites codons, would unveil novel codon biases and "bad" codon combinations that are error prone. For this, we have built a software package that counts codon triplets in complete assemblies of open reading frames (ORFeomes) and used the ORFeome sequences of 12 fungal species, including Aspergillus fumigatus, Saccharomyces cerevisiae, and Candida albicans to validate our working hypothesis. We have used data mining methodologies to explore this large dataset of 220,000 combinations of 3 consecutive codons, and extracted the most biased contexts. The data showed that three-codon contexts are species-specific, although major context rules could also be found. Interestingly, biases introduced at DNA replication and transcription levels, namely trinucleotide repeats, play an important role in the evolution of ORFeomes. Candida albicans revealed unique features and very strong context biases. For example, codon triplet biases is much stronger in C. albicans than in other species and it has a very high number of consecutive codon repeats, which comprise up to 6% of the total ORFeomeInstituto Politécnico de ViseuLousado, JoséMoura, GabrielaPinheiro, MiguelOliveira, JoséSantos, Manuel2012-04-10T14:35:09Z20062006-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.19/1059enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-06T14:03:37Zoai:repositorio.ipv.pt:10400.19/1059Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:14:33.013841Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Large scale comparative genomics of codon context
title Large scale comparative genomics of codon context
spellingShingle Large scale comparative genomics of codon context
Lousado, José
genome Analysis
Bioinformatics
title_short Large scale comparative genomics of codon context
title_full Large scale comparative genomics of codon context
title_fullStr Large scale comparative genomics of codon context
title_full_unstemmed Large scale comparative genomics of codon context
title_sort Large scale comparative genomics of codon context
author Lousado, José
author_facet Lousado, José
Moura, Gabriela
Pinheiro, Miguel
Oliveira, José
Santos, Manuel
author_role author
author2 Moura, Gabriela
Pinheiro, Miguel
Oliveira, José
Santos, Manuel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Instituto Politécnico de Viseu
dc.contributor.author.fl_str_mv Lousado, José
Moura, Gabriela
Pinheiro, Miguel
Oliveira, José
Santos, Manuel
dc.subject.por.fl_str_mv genome Analysis
Bioinformatics
topic genome Analysis
Bioinformatics
description The efficiency of protein synthesis is highly dependent on codon usage and codon context. Indeed, the choice of particular synonymous codons is constrained by neighbour codons (codon context) to optimize mRNA decoding speed and accuracy. This is related to spatial (steric) effects created by the need to accommodate 3 tRNAs in the ribosome A-, P- and E-sites. Since these tRNAs interact with each other, with their cognate codons and with various structural domains of rRNAs, the structure of the 6 nucleotide RNA helix formed by the anticodon-codon interactions is strongly int1uenced by the type of codons and tRNAs present in the ribosome decoding centre. To ensure proper tRNA selection and correct codon decoding the rRNA monitors the structure of the codon-anticodon RNA helix. We hypothesized that large scale comparative analysis of 3 consecutive codons, corresponding to the ribosome A-, P- and E-sites codons, would unveil novel codon biases and "bad" codon combinations that are error prone. For this, we have built a software package that counts codon triplets in complete assemblies of open reading frames (ORFeomes) and used the ORFeome sequences of 12 fungal species, including Aspergillus fumigatus, Saccharomyces cerevisiae, and Candida albicans to validate our working hypothesis. We have used data mining methodologies to explore this large dataset of 220,000 combinations of 3 consecutive codons, and extracted the most biased contexts. The data showed that three-codon contexts are species-specific, although major context rules could also be found. Interestingly, biases introduced at DNA replication and transcription levels, namely trinucleotide repeats, play an important role in the evolution of ORFeomes. Candida albicans revealed unique features and very strong context biases. For example, codon triplet biases is much stronger in C. albicans than in other species and it has a very high number of consecutive codon repeats, which comprise up to 6% of the total ORFeome
publishDate 2006
dc.date.none.fl_str_mv 2006
2006-01-01T00:00:00Z
2012-04-10T14:35:09Z
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language eng
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