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How to build phylogenetic species trees with OMA
Knowledge of species phylogeny is critical to many fields of biology. In an era of genome data availability, the most common way to make a phylogenetic species tree is by using multiple protein-coding genes, conserved in multiple species. This methodology is composed of several steps: orthology infe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194518/ https://www.ncbi.nlm.nih.gov/pubmed/35722083 http://dx.doi.org/10.12688/f1000research.23790.2 |
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author | Dylus, David Nevers, Yannis Altenhoff, Adrian M. Gürtler, Antoine Dessimoz, Christophe Glover, Natasha M. |
author_facet | Dylus, David Nevers, Yannis Altenhoff, Adrian M. Gürtler, Antoine Dessimoz, Christophe Glover, Natasha M. |
author_sort | Dylus, David |
collection | PubMed |
description | Knowledge of species phylogeny is critical to many fields of biology. In an era of genome data availability, the most common way to make a phylogenetic species tree is by using multiple protein-coding genes, conserved in multiple species. This methodology is composed of several steps: orthology inference, multiple sequence alignment and inference of the phylogeny with dedicated tools. This can be a difficult task, and orthology inference, in particular, is usually computationally intensive and error prone if done ad hoc. This tutorial provides protocols to make use of OMA Orthologous Groups, a set of genes all orthologous to each other, to infer a phylogenetic species tree. It is designed to be user-friendly and computationally inexpensive, by providing two options: (1) Using only precomputed groups with species available on the OMA Browser, or (2) Computing orthologs using OMA Standalone for additional species, with the option of using precomputed orthology relations for those present in OMA. A protocol for downstream analyses is provided as well, including creating a supermatrix, tree inference, and visualization. All protocols use publicly available software, and we provide scripts and code snippets to facilitate data handling. The protocols are accompanied with practical examples. |
format | Online Article Text |
id | pubmed-9194518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-91945182022-06-16 How to build phylogenetic species trees with OMA Dylus, David Nevers, Yannis Altenhoff, Adrian M. Gürtler, Antoine Dessimoz, Christophe Glover, Natasha M. F1000Res Method Article Knowledge of species phylogeny is critical to many fields of biology. In an era of genome data availability, the most common way to make a phylogenetic species tree is by using multiple protein-coding genes, conserved in multiple species. This methodology is composed of several steps: orthology inference, multiple sequence alignment and inference of the phylogeny with dedicated tools. This can be a difficult task, and orthology inference, in particular, is usually computationally intensive and error prone if done ad hoc. This tutorial provides protocols to make use of OMA Orthologous Groups, a set of genes all orthologous to each other, to infer a phylogenetic species tree. It is designed to be user-friendly and computationally inexpensive, by providing two options: (1) Using only precomputed groups with species available on the OMA Browser, or (2) Computing orthologs using OMA Standalone for additional species, with the option of using precomputed orthology relations for those present in OMA. A protocol for downstream analyses is provided as well, including creating a supermatrix, tree inference, and visualization. All protocols use publicly available software, and we provide scripts and code snippets to facilitate data handling. The protocols are accompanied with practical examples. F1000 Research Limited 2022-02-28 /pmc/articles/PMC9194518/ /pubmed/35722083 http://dx.doi.org/10.12688/f1000research.23790.2 Text en Copyright: © 2022 Dylus D et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Article Dylus, David Nevers, Yannis Altenhoff, Adrian M. Gürtler, Antoine Dessimoz, Christophe Glover, Natasha M. How to build phylogenetic species trees with OMA |
title | How to build phylogenetic species trees with OMA |
title_full | How to build phylogenetic species trees with OMA |
title_fullStr | How to build phylogenetic species trees with OMA |
title_full_unstemmed | How to build phylogenetic species trees with OMA |
title_short | How to build phylogenetic species trees with OMA |
title_sort | how to build phylogenetic species trees with oma |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194518/ https://www.ncbi.nlm.nih.gov/pubmed/35722083 http://dx.doi.org/10.12688/f1000research.23790.2 |
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