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Quintet Rooting: rooting species trees under the multi-species coalescent model
MOTIVATION: Rooted species trees are a basic model with multiple applications throughout biology, including understanding adaptation, biodiversity, phylogeography and co-evolution. Because most species tree estimation methods produce unrooted trees, methods for rooting these trees have been develope...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236578/ https://www.ncbi.nlm.nih.gov/pubmed/35758805 http://dx.doi.org/10.1093/bioinformatics/btac224 |
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author | Tabatabaee, Yasamin Sarker, Kowshika Warnow, Tandy |
author_facet | Tabatabaee, Yasamin Sarker, Kowshika Warnow, Tandy |
author_sort | Tabatabaee, Yasamin |
collection | PubMed |
description | MOTIVATION: Rooted species trees are a basic model with multiple applications throughout biology, including understanding adaptation, biodiversity, phylogeography and co-evolution. Because most species tree estimation methods produce unrooted trees, methods for rooting these trees have been developed. However, most rooting methods either rely on prior biological knowledge or assume that evolution is close to clock-like, which is not usually the case. Furthermore, most prior rooting methods do not account for biological processes that create discordance between gene trees and species trees. RESULTS: We present Quintet Rooting (QR), a method for rooting species trees based on a proof of identifiability of the rooted species tree under the multi-species coalescent model established by Allman, Degnan and Rhodes (J. Math. Biol., 2011). We show that QR is generally more accurate than other rooting methods, except under extreme levels of gene tree estimation error. AVAILABILITY AND IMPLEMENTATION: Quintet Rooting is available in open source form at https://github.com/ytabatabaee/Quintet-Rooting. The simulated datasets used in this study are from a prior study and are available at https://www.ideals.illinois.edu/handle/2142/55319. The biological dataset used in this study is also from a prior study and is available at http://gigadb.org/dataset/101041. CONTACT: warnow@illinois.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9236578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92365782022-06-29 Quintet Rooting: rooting species trees under the multi-species coalescent model Tabatabaee, Yasamin Sarker, Kowshika Warnow, Tandy Bioinformatics ISCB/Ismb 2022 MOTIVATION: Rooted species trees are a basic model with multiple applications throughout biology, including understanding adaptation, biodiversity, phylogeography and co-evolution. Because most species tree estimation methods produce unrooted trees, methods for rooting these trees have been developed. However, most rooting methods either rely on prior biological knowledge or assume that evolution is close to clock-like, which is not usually the case. Furthermore, most prior rooting methods do not account for biological processes that create discordance between gene trees and species trees. RESULTS: We present Quintet Rooting (QR), a method for rooting species trees based on a proof of identifiability of the rooted species tree under the multi-species coalescent model established by Allman, Degnan and Rhodes (J. Math. Biol., 2011). We show that QR is generally more accurate than other rooting methods, except under extreme levels of gene tree estimation error. AVAILABILITY AND IMPLEMENTATION: Quintet Rooting is available in open source form at https://github.com/ytabatabaee/Quintet-Rooting. The simulated datasets used in this study are from a prior study and are available at https://www.ideals.illinois.edu/handle/2142/55319. The biological dataset used in this study is also from a prior study and is available at http://gigadb.org/dataset/101041. CONTACT: warnow@illinois.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-06-27 /pmc/articles/PMC9236578/ /pubmed/35758805 http://dx.doi.org/10.1093/bioinformatics/btac224 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | ISCB/Ismb 2022 Tabatabaee, Yasamin Sarker, Kowshika Warnow, Tandy Quintet Rooting: rooting species trees under the multi-species coalescent model |
title | Quintet Rooting: rooting species trees under the multi-species coalescent model |
title_full | Quintet Rooting: rooting species trees under the multi-species coalescent model |
title_fullStr | Quintet Rooting: rooting species trees under the multi-species coalescent model |
title_full_unstemmed | Quintet Rooting: rooting species trees under the multi-species coalescent model |
title_short | Quintet Rooting: rooting species trees under the multi-species coalescent model |
title_sort | quintet rooting: rooting species trees under the multi-species coalescent model |
topic | ISCB/Ismb 2022 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236578/ https://www.ncbi.nlm.nih.gov/pubmed/35758805 http://dx.doi.org/10.1093/bioinformatics/btac224 |
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