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MapGL: inferring evolutionary gain and loss of short genomic sequence features by phylogenetic maximum parsimony

BACKGROUND: Comparative genomics studies are growing in number partly because of their unique ability to provide insight into shared and divergent biology between species. Of particular interest is the use of phylogenetic methods to infer the evolutionary history of cis-regulatory sequence features,...

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Autores principales: Diehl, Adam G., Boyle, Alan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510305/
https://www.ncbi.nlm.nih.gov/pubmed/32962625
http://dx.doi.org/10.1186/s12859-020-03742-9
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author Diehl, Adam G.
Boyle, Alan P.
author_facet Diehl, Adam G.
Boyle, Alan P.
author_sort Diehl, Adam G.
collection PubMed
description BACKGROUND: Comparative genomics studies are growing in number partly because of their unique ability to provide insight into shared and divergent biology between species. Of particular interest is the use of phylogenetic methods to infer the evolutionary history of cis-regulatory sequence features, which contribute strongly to phenotypic divergence and are frequently gained and lost in eutherian genomes. Understanding the mechanisms by which cis-regulatory element turnover generate emergent phenotypes is crucial to our understanding of adaptive evolution. Ancestral reconstruction methods can place species-specific cis-regulatory features in their evolutionary context, thus increasing our understanding of the process of regulatory sequence turnover. However, applying these methods to gain and loss of cis-regulatory features historically required complex workflows, preventing widespread adoption by the broad scientific community. RESULTS: MapGL simplifies phylogenetic inference of the evolutionary history of short genomic sequence features by combining the necessary steps into a single piece of software with a simple set of inputs and outputs. We show that MapGL can reliably disambiguate the mechanisms underlying differential regulatory sequence content across a broad range of phylogenetic topologies and evolutionary distances. Thus, MapGL provides the necessary context to evaluate how genomic sequence gain and loss contribute to species-specific divergence. CONCLUSIONS: MapGL makes phylogenetic inference of species-specific sequence gain and loss easy for both expert and non-expert users, making it a powerful tool for gaining novel insights into genome evolution.
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spelling pubmed-75103052020-09-25 MapGL: inferring evolutionary gain and loss of short genomic sequence features by phylogenetic maximum parsimony Diehl, Adam G. Boyle, Alan P. BMC Bioinformatics Software BACKGROUND: Comparative genomics studies are growing in number partly because of their unique ability to provide insight into shared and divergent biology between species. Of particular interest is the use of phylogenetic methods to infer the evolutionary history of cis-regulatory sequence features, which contribute strongly to phenotypic divergence and are frequently gained and lost in eutherian genomes. Understanding the mechanisms by which cis-regulatory element turnover generate emergent phenotypes is crucial to our understanding of adaptive evolution. Ancestral reconstruction methods can place species-specific cis-regulatory features in their evolutionary context, thus increasing our understanding of the process of regulatory sequence turnover. However, applying these methods to gain and loss of cis-regulatory features historically required complex workflows, preventing widespread adoption by the broad scientific community. RESULTS: MapGL simplifies phylogenetic inference of the evolutionary history of short genomic sequence features by combining the necessary steps into a single piece of software with a simple set of inputs and outputs. We show that MapGL can reliably disambiguate the mechanisms underlying differential regulatory sequence content across a broad range of phylogenetic topologies and evolutionary distances. Thus, MapGL provides the necessary context to evaluate how genomic sequence gain and loss contribute to species-specific divergence. CONCLUSIONS: MapGL makes phylogenetic inference of species-specific sequence gain and loss easy for both expert and non-expert users, making it a powerful tool for gaining novel insights into genome evolution. BioMed Central 2020-09-22 /pmc/articles/PMC7510305/ /pubmed/32962625 http://dx.doi.org/10.1186/s12859-020-03742-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Software
Diehl, Adam G.
Boyle, Alan P.
MapGL: inferring evolutionary gain and loss of short genomic sequence features by phylogenetic maximum parsimony
title MapGL: inferring evolutionary gain and loss of short genomic sequence features by phylogenetic maximum parsimony
title_full MapGL: inferring evolutionary gain and loss of short genomic sequence features by phylogenetic maximum parsimony
title_fullStr MapGL: inferring evolutionary gain and loss of short genomic sequence features by phylogenetic maximum parsimony
title_full_unstemmed MapGL: inferring evolutionary gain and loss of short genomic sequence features by phylogenetic maximum parsimony
title_short MapGL: inferring evolutionary gain and loss of short genomic sequence features by phylogenetic maximum parsimony
title_sort mapgl: inferring evolutionary gain and loss of short genomic sequence features by phylogenetic maximum parsimony
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510305/
https://www.ncbi.nlm.nih.gov/pubmed/32962625
http://dx.doi.org/10.1186/s12859-020-03742-9
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