UVPAR: fast detection of functional shifts in duplicate genes

<p>Abstract</p> <p>Background</p> <p>The imprint of natural selection on gene sequences is often difficult to detect. A plethora of methods have been devised to detect genetic changes due to selective processes. However, many of those methods depend heavily on underlyin...

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Main Authors: Lucas J Ignasi, Gallach Miguel, Arnau Vicente, Marín Ignacio
Format: Article
Language:English
Published: BMC 2006-03-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/7/174
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author Lucas J Ignasi
Gallach Miguel
Arnau Vicente
Marín Ignacio
author_facet Lucas J Ignasi
Gallach Miguel
Arnau Vicente
Marín Ignacio
author_sort Lucas J Ignasi
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>The imprint of natural selection on gene sequences is often difficult to detect. A plethora of methods have been devised to detect genetic changes due to selective processes. However, many of those methods depend heavily on underlying assumptions regarding the mode of change of DNA sequences and often require sophisticated mathematical treatments that made them computationally slow. The development of fast and effective methods to detect modifications in the selective constraints of genes is therefore of great interest.</p> <p>Results</p> <p>We describe UVPAR, a program designed to quickly test for changes in the functional constraints of duplicate genes. Starting with alignments of the proteins encoded by couples of duplicate genes in two different species, UVPAR detects the regions in which modifications of the functional constraints in the paralogs occurred since both species diverged. Sequences can be analyzed with UVPAR in just a few minutes on a standard PC computer. To demonstrate the power of the program, we first show how the results obtained with UVPAR compare to those based on other approaches, using data for vertebrate <it>Hox </it>genes. We then describe a comprehensive study of the RBR family of ubiquitin ligases in which we have performed 529 analyses involving 14 duplicate genes in seven model species. A significant increase in the number of functional shifts was observed for the species <it>Danio rerio </it>and for the gene <it>Ariadne-2</it>.</p> <p>Conclusion</p> <p>These results show that UVPAR can be used to generate sensitive analyses to detect changes in the selection constraints acting on paralogs. The high speed of the program allows its application to genome-scale analyses.</p>
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spelling doaj.art-80706949c36e42f48bdf8b2cb10c49c12022-12-21T18:49:03ZengBMCBMC Bioinformatics1471-21052006-03-017117410.1186/1471-2105-7-174UVPAR: fast detection of functional shifts in duplicate genesLucas J IgnasiGallach MiguelArnau VicenteMarín Ignacio<p>Abstract</p> <p>Background</p> <p>The imprint of natural selection on gene sequences is often difficult to detect. A plethora of methods have been devised to detect genetic changes due to selective processes. However, many of those methods depend heavily on underlying assumptions regarding the mode of change of DNA sequences and often require sophisticated mathematical treatments that made them computationally slow. The development of fast and effective methods to detect modifications in the selective constraints of genes is therefore of great interest.</p> <p>Results</p> <p>We describe UVPAR, a program designed to quickly test for changes in the functional constraints of duplicate genes. Starting with alignments of the proteins encoded by couples of duplicate genes in two different species, UVPAR detects the regions in which modifications of the functional constraints in the paralogs occurred since both species diverged. Sequences can be analyzed with UVPAR in just a few minutes on a standard PC computer. To demonstrate the power of the program, we first show how the results obtained with UVPAR compare to those based on other approaches, using data for vertebrate <it>Hox </it>genes. We then describe a comprehensive study of the RBR family of ubiquitin ligases in which we have performed 529 analyses involving 14 duplicate genes in seven model species. A significant increase in the number of functional shifts was observed for the species <it>Danio rerio </it>and for the gene <it>Ariadne-2</it>.</p> <p>Conclusion</p> <p>These results show that UVPAR can be used to generate sensitive analyses to detect changes in the selection constraints acting on paralogs. The high speed of the program allows its application to genome-scale analyses.</p>http://www.biomedcentral.com/1471-2105/7/174
spellingShingle Lucas J Ignasi
Gallach Miguel
Arnau Vicente
Marín Ignacio
UVPAR: fast detection of functional shifts in duplicate genes
BMC Bioinformatics
title UVPAR: fast detection of functional shifts in duplicate genes
title_full UVPAR: fast detection of functional shifts in duplicate genes
title_fullStr UVPAR: fast detection of functional shifts in duplicate genes
title_full_unstemmed UVPAR: fast detection of functional shifts in duplicate genes
title_short UVPAR: fast detection of functional shifts in duplicate genes
title_sort uvpar fast detection of functional shifts in duplicate genes
url http://www.biomedcentral.com/1471-2105/7/174
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AT gallachmiguel uvparfastdetectionoffunctionalshiftsinduplicategenes
AT arnauvicente uvparfastdetectionoffunctionalshiftsinduplicategenes
AT marinignacio uvparfastdetectionoffunctionalshiftsinduplicategenes