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A workflow with R: Phylogenetic analyses and visualizations using mitochondrial cytochrome b gene sequences

Phylogenetic analyses can provide a wealth of information about the past demography of a population and the level of genetic diversity within and between species. By using special computer programs developed in recent years, large amounts of data have been produced in the molecular genetics area. To...

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Detalles Bibliográficos
Autores principales: Toparslan, Emine, Karabag, Kemal, Bilge, Ugur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737995/
https://www.ncbi.nlm.nih.gov/pubmed/33320915
http://dx.doi.org/10.1371/journal.pone.0243927
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author Toparslan, Emine
Karabag, Kemal
Bilge, Ugur
author_facet Toparslan, Emine
Karabag, Kemal
Bilge, Ugur
author_sort Toparslan, Emine
collection PubMed
description Phylogenetic analyses can provide a wealth of information about the past demography of a population and the level of genetic diversity within and between species. By using special computer programs developed in recent years, large amounts of data have been produced in the molecular genetics area. To analyze these data, powerful new methods based on large computations have been applied in various software packages and programs. But these programs have their own specific input and output formats, and users need to create different input formats for almost every program. R is an open source software environment, and it supports open contribution and modification to its libraries. Furthermore, it is also possible to perform several analyses using a single input file format. In this article, by using the multiple sequences FASTA format file (.fas extension) we demonstrate and share a workflow of how to extract haplotypes and perform phylogenetic analyses and visualizations in R. As an example dataset, we used 120 Bombus terrestris dalmatinus mitochondrial cytochrome b gene (cyt b) sequences (373 bp) collected from eight different beehives in Antalya. This article presents a short guide on how to perform phylogenetic analyses using R and RStudio.
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spelling pubmed-77379952021-01-08 A workflow with R: Phylogenetic analyses and visualizations using mitochondrial cytochrome b gene sequences Toparslan, Emine Karabag, Kemal Bilge, Ugur PLoS One Research Article Phylogenetic analyses can provide a wealth of information about the past demography of a population and the level of genetic diversity within and between species. By using special computer programs developed in recent years, large amounts of data have been produced in the molecular genetics area. To analyze these data, powerful new methods based on large computations have been applied in various software packages and programs. But these programs have their own specific input and output formats, and users need to create different input formats for almost every program. R is an open source software environment, and it supports open contribution and modification to its libraries. Furthermore, it is also possible to perform several analyses using a single input file format. In this article, by using the multiple sequences FASTA format file (.fas extension) we demonstrate and share a workflow of how to extract haplotypes and perform phylogenetic analyses and visualizations in R. As an example dataset, we used 120 Bombus terrestris dalmatinus mitochondrial cytochrome b gene (cyt b) sequences (373 bp) collected from eight different beehives in Antalya. This article presents a short guide on how to perform phylogenetic analyses using R and RStudio. Public Library of Science 2020-12-15 /pmc/articles/PMC7737995/ /pubmed/33320915 http://dx.doi.org/10.1371/journal.pone.0243927 Text en © 2020 Toparslan 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, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Toparslan, Emine
Karabag, Kemal
Bilge, Ugur
A workflow with R: Phylogenetic analyses and visualizations using mitochondrial cytochrome b gene sequences
title A workflow with R: Phylogenetic analyses and visualizations using mitochondrial cytochrome b gene sequences
title_full A workflow with R: Phylogenetic analyses and visualizations using mitochondrial cytochrome b gene sequences
title_fullStr A workflow with R: Phylogenetic analyses and visualizations using mitochondrial cytochrome b gene sequences
title_full_unstemmed A workflow with R: Phylogenetic analyses and visualizations using mitochondrial cytochrome b gene sequences
title_short A workflow with R: Phylogenetic analyses and visualizations using mitochondrial cytochrome b gene sequences
title_sort workflow with r: phylogenetic analyses and visualizations using mitochondrial cytochrome b gene sequences
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737995/
https://www.ncbi.nlm.nih.gov/pubmed/33320915
http://dx.doi.org/10.1371/journal.pone.0243927
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