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Parameter Estimation and Species Tree Rooting Using ALE and GeneRax
ALE and GeneRax are tools for probabilistic gene tree–species tree reconciliation. Based on a common underlying statistical model of how gene trees evolve along species trees, these methods rely on gene vs. species tree discordance to infer gene duplication, transfer, and loss events, map gene famil...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373948/ https://www.ncbi.nlm.nih.gov/pubmed/37463417 http://dx.doi.org/10.1093/gbe/evad134 |
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author | Williams, Tom A Davín, Adrián A Morel, Benoit Szánthó, Lénárd L Spang, Anja Stamatakis, Alexandros Hugenholtz, Philip Szöllősi, Gergely J |
author_facet | Williams, Tom A Davín, Adrián A Morel, Benoit Szánthó, Lénárd L Spang, Anja Stamatakis, Alexandros Hugenholtz, Philip Szöllősi, Gergely J |
author_sort | Williams, Tom A |
collection | PubMed |
description | ALE and GeneRax are tools for probabilistic gene tree–species tree reconciliation. Based on a common underlying statistical model of how gene trees evolve along species trees, these methods rely on gene vs. species tree discordance to infer gene duplication, transfer, and loss events, map gene family origins, and root species trees. Published analyses have used these methods to root species trees of Archaea, Bacteria, and several eukaryotic groups, as well as to infer ancestral gene repertoires. However, it was recently suggested that reconciliation-based estimates of duplication and transfer events using the ALE/GeneRax model were unreliable, with potential implications for species tree rooting. Here, we assess these criticisms and find that the methods are accurate when applied to simulated data and in generally good agreement with alternative methodological approaches on empirical data. In particular, ALE recovers variation in gene duplication and transfer frequencies across lineages that is consistent with the known biology of studied clades. In plants and opisthokonts, ALE recovers the consensus species tree root; in Bacteria—where there is less certainty about the root position—ALE agrees with alternative approaches on the most likely root region. Overall, ALE and related approaches are promising tools for studying genome evolution. |
format | Online Article Text |
id | pubmed-10373948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103739482023-07-28 Parameter Estimation and Species Tree Rooting Using ALE and GeneRax Williams, Tom A Davín, Adrián A Morel, Benoit Szánthó, Lénárd L Spang, Anja Stamatakis, Alexandros Hugenholtz, Philip Szöllősi, Gergely J Genome Biol Evol Article ALE and GeneRax are tools for probabilistic gene tree–species tree reconciliation. Based on a common underlying statistical model of how gene trees evolve along species trees, these methods rely on gene vs. species tree discordance to infer gene duplication, transfer, and loss events, map gene family origins, and root species trees. Published analyses have used these methods to root species trees of Archaea, Bacteria, and several eukaryotic groups, as well as to infer ancestral gene repertoires. However, it was recently suggested that reconciliation-based estimates of duplication and transfer events using the ALE/GeneRax model were unreliable, with potential implications for species tree rooting. Here, we assess these criticisms and find that the methods are accurate when applied to simulated data and in generally good agreement with alternative methodological approaches on empirical data. In particular, ALE recovers variation in gene duplication and transfer frequencies across lineages that is consistent with the known biology of studied clades. In plants and opisthokonts, ALE recovers the consensus species tree root; in Bacteria—where there is less certainty about the root position—ALE agrees with alternative approaches on the most likely root region. Overall, ALE and related approaches are promising tools for studying genome evolution. Oxford University Press 2023-07-18 /pmc/articles/PMC10373948/ /pubmed/37463417 http://dx.doi.org/10.1093/gbe/evad134 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. 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 | Article Williams, Tom A Davín, Adrián A Morel, Benoit Szánthó, Lénárd L Spang, Anja Stamatakis, Alexandros Hugenholtz, Philip Szöllősi, Gergely J Parameter Estimation and Species Tree Rooting Using ALE and GeneRax |
title | Parameter Estimation and Species Tree Rooting Using ALE and GeneRax |
title_full | Parameter Estimation and Species Tree Rooting Using ALE and GeneRax |
title_fullStr | Parameter Estimation and Species Tree Rooting Using ALE and GeneRax |
title_full_unstemmed | Parameter Estimation and Species Tree Rooting Using ALE and GeneRax |
title_short | Parameter Estimation and Species Tree Rooting Using ALE and GeneRax |
title_sort | parameter estimation and species tree rooting using ale and generax |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373948/ https://www.ncbi.nlm.nih.gov/pubmed/37463417 http://dx.doi.org/10.1093/gbe/evad134 |
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