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Predicting the fungal CUG codon translation with Bagheera

BACKGROUND: Many eukaryotes have been shown to use alternative schemes to the universal genetic code. While most Saccharomycetes, including Saccharomyces cerevisiae, use the standard genetic code translating the CUG codon as leucine, some yeasts, including many but not all of the “Candida”, translat...

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Autores principales: Mühlhausen, Stefanie, Kollmar, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050208/
https://www.ncbi.nlm.nih.gov/pubmed/24885275
http://dx.doi.org/10.1186/1471-2164-15-411
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author Mühlhausen, Stefanie
Kollmar, Martin
author_facet Mühlhausen, Stefanie
Kollmar, Martin
author_sort Mühlhausen, Stefanie
collection PubMed
description BACKGROUND: Many eukaryotes have been shown to use alternative schemes to the universal genetic code. While most Saccharomycetes, including Saccharomyces cerevisiae, use the standard genetic code translating the CUG codon as leucine, some yeasts, including many but not all of the “Candida”, translate the same codon as serine. It has been proposed that the change in codon identity was accomplished by an almost complete loss of the original CUG codons, making the CUG positions within the extant species highly discriminative for the one or other translation scheme. RESULTS: In order to improve the prediction of genes in yeast species by providing the correct CUG decoding scheme we implemented a web server, called Bagheera, that allows determining the most probable CUG codon translation for a given transcriptome or genome assembly based on extensive reference data. As reference data we use 2071 manually assembled and annotated sequences from 38 cytoskeletal and motor proteins belonging to 79 yeast species. The web service includes a pipeline, which starts with predicting and aligning homologous genes to the reference data. CUG codon positions within the predicted genes are analysed with respect to amino acid similarity and CUG codon conservation in related species. In addition, the tRNA(CAG) gene is predicted in genomic data and compared to known leu-tRNA(CAG) and ser-tRNA(CAG) genes. Bagheera can also be used to evaluate any mRNA and protein sequence data with the codon usage of the respective species. The usage of the system has been demonstrated by analysing six genomes not included in the reference data. CONCLUSIONS: Gene prediction and consecutive comparison with reference data from other Saccharomycetes are sufficient to predict the most probable decoding scheme for CUG codons. This approach has been implemented into Bagheera (http://www.motorprotein.de/bagheera). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-411) contains supplementary material, which is available to authorized users.
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spelling pubmed-40502082014-06-17 Predicting the fungal CUG codon translation with Bagheera Mühlhausen, Stefanie Kollmar, Martin BMC Genomics Software BACKGROUND: Many eukaryotes have been shown to use alternative schemes to the universal genetic code. While most Saccharomycetes, including Saccharomyces cerevisiae, use the standard genetic code translating the CUG codon as leucine, some yeasts, including many but not all of the “Candida”, translate the same codon as serine. It has been proposed that the change in codon identity was accomplished by an almost complete loss of the original CUG codons, making the CUG positions within the extant species highly discriminative for the one or other translation scheme. RESULTS: In order to improve the prediction of genes in yeast species by providing the correct CUG decoding scheme we implemented a web server, called Bagheera, that allows determining the most probable CUG codon translation for a given transcriptome or genome assembly based on extensive reference data. As reference data we use 2071 manually assembled and annotated sequences from 38 cytoskeletal and motor proteins belonging to 79 yeast species. The web service includes a pipeline, which starts with predicting and aligning homologous genes to the reference data. CUG codon positions within the predicted genes are analysed with respect to amino acid similarity and CUG codon conservation in related species. In addition, the tRNA(CAG) gene is predicted in genomic data and compared to known leu-tRNA(CAG) and ser-tRNA(CAG) genes. Bagheera can also be used to evaluate any mRNA and protein sequence data with the codon usage of the respective species. The usage of the system has been demonstrated by analysing six genomes not included in the reference data. CONCLUSIONS: Gene prediction and consecutive comparison with reference data from other Saccharomycetes are sufficient to predict the most probable decoding scheme for CUG codons. This approach has been implemented into Bagheera (http://www.motorprotein.de/bagheera). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-411) contains supplementary material, which is available to authorized users. BioMed Central 2014-05-29 /pmc/articles/PMC4050208/ /pubmed/24885275 http://dx.doi.org/10.1186/1471-2164-15-411 Text en © Mühlhausen and Kollmar; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. 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 credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Mühlhausen, Stefanie
Kollmar, Martin
Predicting the fungal CUG codon translation with Bagheera
title Predicting the fungal CUG codon translation with Bagheera
title_full Predicting the fungal CUG codon translation with Bagheera
title_fullStr Predicting the fungal CUG codon translation with Bagheera
title_full_unstemmed Predicting the fungal CUG codon translation with Bagheera
title_short Predicting the fungal CUG codon translation with Bagheera
title_sort predicting the fungal cug codon translation with bagheera
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050208/
https://www.ncbi.nlm.nih.gov/pubmed/24885275
http://dx.doi.org/10.1186/1471-2164-15-411
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