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phydms: software for phylogenetic analyses informed by deep mutational scanning
It has recently become possible to experimentally measure the effects of all amino-acid point mutations to proteins using deep mutational scanning. These experimental measurements can inform site-specific phylogenetic substitution models of gene evolution in nature. Here we describe software that ef...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5541924/ https://www.ncbi.nlm.nih.gov/pubmed/28785526 http://dx.doi.org/10.7717/peerj.3657 |
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author | Hilton, Sarah K. Doud, Michael B. Bloom, Jesse D. |
author_facet | Hilton, Sarah K. Doud, Michael B. Bloom, Jesse D. |
author_sort | Hilton, Sarah K. |
collection | PubMed |
description | It has recently become possible to experimentally measure the effects of all amino-acid point mutations to proteins using deep mutational scanning. These experimental measurements can inform site-specific phylogenetic substitution models of gene evolution in nature. Here we describe software that efficiently performs analyses with such substitution models. This software, phydms, can be used to compare the results of deep mutational scanning experiments to the selection on genes in nature. Given a phylogenetic tree topology inferred with another program, phydms enables rigorous comparison of how well different experiments on the same gene capture actual natural selection. It also enables re-scaling of deep mutational scanning data to account for differences in the stringency of selection in the lab and nature. Finally, phydms can identify sites that are evolving differently in nature than expected from experiments in the lab. As data from deep mutational scanning experiments become increasingly widespread, phydms will facilitate quantitative comparison of the experimental results to the actual selection pressures shaping evolution in nature. |
format | Online Article Text |
id | pubmed-5541924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55419242017-08-07 phydms: software for phylogenetic analyses informed by deep mutational scanning Hilton, Sarah K. Doud, Michael B. Bloom, Jesse D. PeerJ Bioinformatics It has recently become possible to experimentally measure the effects of all amino-acid point mutations to proteins using deep mutational scanning. These experimental measurements can inform site-specific phylogenetic substitution models of gene evolution in nature. Here we describe software that efficiently performs analyses with such substitution models. This software, phydms, can be used to compare the results of deep mutational scanning experiments to the selection on genes in nature. Given a phylogenetic tree topology inferred with another program, phydms enables rigorous comparison of how well different experiments on the same gene capture actual natural selection. It also enables re-scaling of deep mutational scanning data to account for differences in the stringency of selection in the lab and nature. Finally, phydms can identify sites that are evolving differently in nature than expected from experiments in the lab. As data from deep mutational scanning experiments become increasingly widespread, phydms will facilitate quantitative comparison of the experimental results to the actual selection pressures shaping evolution in nature. PeerJ Inc. 2017-07-31 /pmc/articles/PMC5541924/ /pubmed/28785526 http://dx.doi.org/10.7717/peerj.3657 Text en ©2017 Hilton et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Hilton, Sarah K. Doud, Michael B. Bloom, Jesse D. phydms: software for phylogenetic analyses informed by deep mutational scanning |
title |
phydms: software for phylogenetic analyses informed by deep mutational scanning |
title_full |
phydms: software for phylogenetic analyses informed by deep mutational scanning |
title_fullStr |
phydms: software for phylogenetic analyses informed by deep mutational scanning |
title_full_unstemmed |
phydms: software for phylogenetic analyses informed by deep mutational scanning |
title_short |
phydms: software for phylogenetic analyses informed by deep mutational scanning |
title_sort | phydms: software for phylogenetic analyses informed by deep mutational scanning |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5541924/ https://www.ncbi.nlm.nih.gov/pubmed/28785526 http://dx.doi.org/10.7717/peerj.3657 |
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