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Seforta, an integrated tool for detecting the signature of selection in coding sequences

BACKGROUND: The majority of amino acid residues are encoded by more than one codon, and a bias in the usage of such synonymous codons has been repeatedly demonstrated. One assumption is that this phenomenon has evolved to improve the efficiency of translation by reducing the time required for the re...

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Autores principales: Camiolo, Salvatore, Melito, Sara, Milia, Giampiera, Porceddu, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022393/
https://www.ncbi.nlm.nih.gov/pubmed/24739143
http://dx.doi.org/10.1186/1756-0500-7-240
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author Camiolo, Salvatore
Melito, Sara
Milia, Giampiera
Porceddu, Andrea
author_facet Camiolo, Salvatore
Melito, Sara
Milia, Giampiera
Porceddu, Andrea
author_sort Camiolo, Salvatore
collection PubMed
description BACKGROUND: The majority of amino acid residues are encoded by more than one codon, and a bias in the usage of such synonymous codons has been repeatedly demonstrated. One assumption is that this phenomenon has evolved to improve the efficiency of translation by reducing the time required for the recruitment of isoacceptors. The most abundant tRNA species are preferred at sites on the protein which are key for its functionality, a behavior which has been termed “translational accuracy”. Although observed in many species, as yet no public domain software has been made available for its quantification. FINDINGS: We present here Seforta (Selection for Translational Accuracy), a program designed to quantify translational accuracy. It searches for synonymous codon usage bias in both conserved and non-conserved regions of coding sequences and computes a cumulative odds ratio and a Z-score. The specification of a set of preferred codons is desirable, but the program can also generate these. Finally, a randomization protocol calculates the probability that preferred codon combinations could have arisen by chance. CONCLUSIONS: Seforta is the first public domain program able to quantify translational accuracy. It comes with a simple graphical user interface and can be readily installed and adjusted to the user's requirements.
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spelling pubmed-40223932014-05-16 Seforta, an integrated tool for detecting the signature of selection in coding sequences Camiolo, Salvatore Melito, Sara Milia, Giampiera Porceddu, Andrea BMC Res Notes Technical Note BACKGROUND: The majority of amino acid residues are encoded by more than one codon, and a bias in the usage of such synonymous codons has been repeatedly demonstrated. One assumption is that this phenomenon has evolved to improve the efficiency of translation by reducing the time required for the recruitment of isoacceptors. The most abundant tRNA species are preferred at sites on the protein which are key for its functionality, a behavior which has been termed “translational accuracy”. Although observed in many species, as yet no public domain software has been made available for its quantification. FINDINGS: We present here Seforta (Selection for Translational Accuracy), a program designed to quantify translational accuracy. It searches for synonymous codon usage bias in both conserved and non-conserved regions of coding sequences and computes a cumulative odds ratio and a Z-score. The specification of a set of preferred codons is desirable, but the program can also generate these. Finally, a randomization protocol calculates the probability that preferred codon combinations could have arisen by chance. CONCLUSIONS: Seforta is the first public domain program able to quantify translational accuracy. It comes with a simple graphical user interface and can be readily installed and adjusted to the user's requirements. BioMed Central 2014-04-16 /pmc/articles/PMC4022393/ /pubmed/24739143 http://dx.doi.org/10.1186/1756-0500-7-240 Text en Copyright © 2014 Camiolo 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 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 Technical Note
Camiolo, Salvatore
Melito, Sara
Milia, Giampiera
Porceddu, Andrea
Seforta, an integrated tool for detecting the signature of selection in coding sequences
title Seforta, an integrated tool for detecting the signature of selection in coding sequences
title_full Seforta, an integrated tool for detecting the signature of selection in coding sequences
title_fullStr Seforta, an integrated tool for detecting the signature of selection in coding sequences
title_full_unstemmed Seforta, an integrated tool for detecting the signature of selection in coding sequences
title_short Seforta, an integrated tool for detecting the signature of selection in coding sequences
title_sort seforta, an integrated tool for detecting the signature of selection in coding sequences
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022393/
https://www.ncbi.nlm.nih.gov/pubmed/24739143
http://dx.doi.org/10.1186/1756-0500-7-240
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