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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7737995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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