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Improved mitochondrial amino acid substitution models for metazoan evolutionary studies.
Le, Vinh Sy; Dang, Cuong Cao; Le, Quang Si.
Afiliação
  • Le VS; University of Engineering and Technology, Vietnam National University Hanoi, Hanoi, Vietnam. vinhls@vnu.edu.vn.
  • Dang CC; University of Engineering and Technology, Vietnam National University Hanoi, Hanoi, Vietnam.
  • Le QS; School of Pharmacy and Biomedical Sciences, University of Portsmouth, Winston Churchill Avenue Portsmouth, Portsmouth, PO1 2UP, UK. lsquang@gmail.com.
BMC Evol Biol ; 17(1): 136, 2017 06 12.
Article em En | MEDLINE | ID: mdl-28606055
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Vertebrados / Invertebrados / Modelos Genéticos Limite: Animals / Humans Idioma: En Revista: BMC Evol Biol Assunto da revista: BIOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Vietnã

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Vertebrados / Invertebrados / Modelos Genéticos Limite: Animals / Humans Idioma: En Revista: BMC Evol Biol Assunto da revista: BIOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Vietnã