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Total Ortholog Median Matrix as an alternative unsupervised approach for phylogenomics based on evolutionary distance between protein coding genes

The increasing number of available genomic data allowed the development of phylogenomic analytical tools. Current methods compile information from single gene phylogenies, whether based on topologies or multiple sequence alignments. Generally, phylogenomic analyses elect gene families or genomic reg...

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Autores principales: Maruyama, Sandra Regina, Rogerio, Luana Aparecida, Freitas, Patricia Domingues, Teixeira, Marta Maria Geraldes, Ribeiro, José Marcos Chaves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884790/
https://www.ncbi.nlm.nih.gov/pubmed/33589693
http://dx.doi.org/10.1038/s41598-021-81926-w
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author Maruyama, Sandra Regina
Rogerio, Luana Aparecida
Freitas, Patricia Domingues
Teixeira, Marta Maria Geraldes
Ribeiro, José Marcos Chaves
author_facet Maruyama, Sandra Regina
Rogerio, Luana Aparecida
Freitas, Patricia Domingues
Teixeira, Marta Maria Geraldes
Ribeiro, José Marcos Chaves
author_sort Maruyama, Sandra Regina
collection PubMed
description The increasing number of available genomic data allowed the development of phylogenomic analytical tools. Current methods compile information from single gene phylogenies, whether based on topologies or multiple sequence alignments. Generally, phylogenomic analyses elect gene families or genomic regions to construct phylogenomic trees. Here, we presented an alternative approach for Phylogenomics, named TOMM (Total Ortholog Median Matrix), to construct a representative phylogram composed by amino acid distance measures of all pairwise ortholog protein sequence pairs from desired species inside a group of organisms. The procedure is divided two main steps, (1) ortholog detection and (2) creation of a matrix with the median amino acid distance measures of all pairwise orthologous sequences. We tested this approach within three different group of organisms: Kinetoplastida protozoa, hematophagous Diptera vectors and Primates. Our approach was robust and efficacious to reconstruct the phylogenetic relationships for the three groups. Moreover, novel branch topologies could be achieved, providing insights about some phylogenetic relationships between some taxa.
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spelling pubmed-78847902021-02-18 Total Ortholog Median Matrix as an alternative unsupervised approach for phylogenomics based on evolutionary distance between protein coding genes Maruyama, Sandra Regina Rogerio, Luana Aparecida Freitas, Patricia Domingues Teixeira, Marta Maria Geraldes Ribeiro, José Marcos Chaves Sci Rep Article The increasing number of available genomic data allowed the development of phylogenomic analytical tools. Current methods compile information from single gene phylogenies, whether based on topologies or multiple sequence alignments. Generally, phylogenomic analyses elect gene families or genomic regions to construct phylogenomic trees. Here, we presented an alternative approach for Phylogenomics, named TOMM (Total Ortholog Median Matrix), to construct a representative phylogram composed by amino acid distance measures of all pairwise ortholog protein sequence pairs from desired species inside a group of organisms. The procedure is divided two main steps, (1) ortholog detection and (2) creation of a matrix with the median amino acid distance measures of all pairwise orthologous sequences. We tested this approach within three different group of organisms: Kinetoplastida protozoa, hematophagous Diptera vectors and Primates. Our approach was robust and efficacious to reconstruct the phylogenetic relationships for the three groups. Moreover, novel branch topologies could be achieved, providing insights about some phylogenetic relationships between some taxa. Nature Publishing Group UK 2021-02-15 /pmc/articles/PMC7884790/ /pubmed/33589693 http://dx.doi.org/10.1038/s41598-021-81926-w Text en © The Author(s) 2021 Open Access This 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/.
spellingShingle Article
Maruyama, Sandra Regina
Rogerio, Luana Aparecida
Freitas, Patricia Domingues
Teixeira, Marta Maria Geraldes
Ribeiro, José Marcos Chaves
Total Ortholog Median Matrix as an alternative unsupervised approach for phylogenomics based on evolutionary distance between protein coding genes
title Total Ortholog Median Matrix as an alternative unsupervised approach for phylogenomics based on evolutionary distance between protein coding genes
title_full Total Ortholog Median Matrix as an alternative unsupervised approach for phylogenomics based on evolutionary distance between protein coding genes
title_fullStr Total Ortholog Median Matrix as an alternative unsupervised approach for phylogenomics based on evolutionary distance between protein coding genes
title_full_unstemmed Total Ortholog Median Matrix as an alternative unsupervised approach for phylogenomics based on evolutionary distance between protein coding genes
title_short Total Ortholog Median Matrix as an alternative unsupervised approach for phylogenomics based on evolutionary distance between protein coding genes
title_sort total ortholog median matrix as an alternative unsupervised approach for phylogenomics based on evolutionary distance between protein coding genes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884790/
https://www.ncbi.nlm.nih.gov/pubmed/33589693
http://dx.doi.org/10.1038/s41598-021-81926-w
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