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Improved mitochondrial amino acid substitution models for metazoan evolutionary studies
BACKGROUND: Amino acid substitution models play an essential role in inferring phylogenies from mitochondrial protein data. However, only few empirical models have been estimated from restricted mitochondrial protein data of a hundred species. The existing models are unlikely to represent appropriat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469158/ https://www.ncbi.nlm.nih.gov/pubmed/28606055 http://dx.doi.org/10.1186/s12862-017-0987-y |
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author | Le, Vinh Sy Dang, Cuong Cao Le, Quang Si |
author_facet | Le, Vinh Sy Dang, Cuong Cao Le, Quang Si |
author_sort | Le, Vinh Sy |
collection | PubMed |
description | BACKGROUND: Amino acid substitution models play an essential role in inferring phylogenies from mitochondrial protein data. However, only few empirical models have been estimated from restricted mitochondrial protein data of a hundred species. The existing models are unlikely to represent appropriately the amino acid substitutions from hundred thousands metazoan mitochondrial protein sequences. RESULTS: We selected 125,935 mitochondrial protein sequences from 34,448 species in the metazoan kingdom to estimate new amino acid substitution models targeting metazoa, vertebrates and invertebrate groups. The new models help to find significantly better likelihood phylogenies in comparison with the existing models. We noted remarkable distances from phylogenies with the existing models to the maximum likelihood phylogenies that indicate a considerable number of incorrect bipartitions in phylogenies with the existing models. Finally, we used the new models and mitochondrial protein data to certify that Testudines, Aves, and Crocodylia form one separated clade within amniotes. CONCLUSIONS: We introduced new mitochondrial amino acid substitution models for metazoan mitochondrial proteins. The new models outperform the existing models in inferring phylogenies from metazoan mitochondrial protein data. We strongly recommend researchers to use the new models in analysing metazoan mitochondrial protein data. |
format | Online Article Text |
id | pubmed-5469158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54691582017-06-14 Improved mitochondrial amino acid substitution models for metazoan evolutionary studies Le, Vinh Sy Dang, Cuong Cao Le, Quang Si BMC Evol Biol Research Article BACKGROUND: Amino acid substitution models play an essential role in inferring phylogenies from mitochondrial protein data. However, only few empirical models have been estimated from restricted mitochondrial protein data of a hundred species. The existing models are unlikely to represent appropriately the amino acid substitutions from hundred thousands metazoan mitochondrial protein sequences. RESULTS: We selected 125,935 mitochondrial protein sequences from 34,448 species in the metazoan kingdom to estimate new amino acid substitution models targeting metazoa, vertebrates and invertebrate groups. The new models help to find significantly better likelihood phylogenies in comparison with the existing models. We noted remarkable distances from phylogenies with the existing models to the maximum likelihood phylogenies that indicate a considerable number of incorrect bipartitions in phylogenies with the existing models. Finally, we used the new models and mitochondrial protein data to certify that Testudines, Aves, and Crocodylia form one separated clade within amniotes. CONCLUSIONS: We introduced new mitochondrial amino acid substitution models for metazoan mitochondrial proteins. The new models outperform the existing models in inferring phylogenies from metazoan mitochondrial protein data. We strongly recommend researchers to use the new models in analysing metazoan mitochondrial protein data. BioMed Central 2017-06-12 /pmc/articles/PMC5469158/ /pubmed/28606055 http://dx.doi.org/10.1186/s12862-017-0987-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Research Article Le, Vinh Sy Dang, Cuong Cao Le, Quang Si Improved mitochondrial amino acid substitution models for metazoan evolutionary studies |
title | Improved mitochondrial amino acid substitution models for metazoan evolutionary studies |
title_full | Improved mitochondrial amino acid substitution models for metazoan evolutionary studies |
title_fullStr | Improved mitochondrial amino acid substitution models for metazoan evolutionary studies |
title_full_unstemmed | Improved mitochondrial amino acid substitution models for metazoan evolutionary studies |
title_short | Improved mitochondrial amino acid substitution models for metazoan evolutionary studies |
title_sort | improved mitochondrial amino acid substitution models for metazoan evolutionary studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469158/ https://www.ncbi.nlm.nih.gov/pubmed/28606055 http://dx.doi.org/10.1186/s12862-017-0987-y |
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