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Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l

Gene tree discordance in large genomic data sets can be caused by evolutionary processes such as incomplete lineage sorting and hybridization, as well as model violation, and errors in data processing, orthology inference, and gene tree estimation. Species tree methods that identify and accommodate...

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Autores principales: Morales-Briones, Diego F, Kadereit, Gudrun, Tefarikis, Delphine T, Moore, Michael J, Smith, Stephen A, Brockington, Samuel F, Timoneda, Alfonso, Yim, Won C, Cushman, John C, Yang, Ya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875436/
https://www.ncbi.nlm.nih.gov/pubmed/32785686
http://dx.doi.org/10.1093/sysbio/syaa066
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author Morales-Briones, Diego F
Kadereit, Gudrun
Tefarikis, Delphine T
Moore, Michael J
Smith, Stephen A
Brockington, Samuel F
Timoneda, Alfonso
Yim, Won C
Cushman, John C
Yang, Ya
author_facet Morales-Briones, Diego F
Kadereit, Gudrun
Tefarikis, Delphine T
Moore, Michael J
Smith, Stephen A
Brockington, Samuel F
Timoneda, Alfonso
Yim, Won C
Cushman, John C
Yang, Ya
author_sort Morales-Briones, Diego F
collection PubMed
description Gene tree discordance in large genomic data sets can be caused by evolutionary processes such as incomplete lineage sorting and hybridization, as well as model violation, and errors in data processing, orthology inference, and gene tree estimation. Species tree methods that identify and accommodate all sources of conflict are not available, but a combination of multiple approaches can help tease apart alternative sources of conflict. Here, using a phylotranscriptomic analysis in combination with reference genomes, we test a hypothesis of ancient hybridization events within the plant family Amaranthaceae s.l. that was previously supported by morphological, ecological, and Sanger-based molecular data. The data set included seven genomes and 88 transcriptomes, 17 generated for this study. We examined gene-tree discordance using coalescent-based species trees and network inference, gene tree discordance analyses, site pattern tests of introgression, topology tests, synteny analyses, and simulations. We found that a combination of processes might have generated the high levels of gene tree discordance in the backbone of Amaranthaceae s.l. Furthermore, we found evidence that three consecutive short internal branches produce anomalous trees contributing to the discordance. Overall, our results suggest that Amaranthaceae s.l. might be a product of an ancient and rapid lineage diversification, and remains, and probably will remain, unresolved. This work highlights the potential problems of identifiability associated with the sources of gene tree discordance including, in particular, phylogenetic network methods. Our results also demonstrate the importance of thoroughly testing for multiple sources of conflict in phylogenomic analyses, especially in the context of ancient, rapid radiations. We provide several recommendations for exploring conflicting signals in such situations. [Amaranthaceae; gene tree discordance; hybridization; incomplete lineage sorting; phylogenomics; species network; species tree; transcriptomics.]
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spelling pubmed-78754362021-02-16 Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l Morales-Briones, Diego F Kadereit, Gudrun Tefarikis, Delphine T Moore, Michael J Smith, Stephen A Brockington, Samuel F Timoneda, Alfonso Yim, Won C Cushman, John C Yang, Ya Syst Biol Regular Articles Gene tree discordance in large genomic data sets can be caused by evolutionary processes such as incomplete lineage sorting and hybridization, as well as model violation, and errors in data processing, orthology inference, and gene tree estimation. Species tree methods that identify and accommodate all sources of conflict are not available, but a combination of multiple approaches can help tease apart alternative sources of conflict. Here, using a phylotranscriptomic analysis in combination with reference genomes, we test a hypothesis of ancient hybridization events within the plant family Amaranthaceae s.l. that was previously supported by morphological, ecological, and Sanger-based molecular data. The data set included seven genomes and 88 transcriptomes, 17 generated for this study. We examined gene-tree discordance using coalescent-based species trees and network inference, gene tree discordance analyses, site pattern tests of introgression, topology tests, synteny analyses, and simulations. We found that a combination of processes might have generated the high levels of gene tree discordance in the backbone of Amaranthaceae s.l. Furthermore, we found evidence that three consecutive short internal branches produce anomalous trees contributing to the discordance. Overall, our results suggest that Amaranthaceae s.l. might be a product of an ancient and rapid lineage diversification, and remains, and probably will remain, unresolved. This work highlights the potential problems of identifiability associated with the sources of gene tree discordance including, in particular, phylogenetic network methods. Our results also demonstrate the importance of thoroughly testing for multiple sources of conflict in phylogenomic analyses, especially in the context of ancient, rapid radiations. We provide several recommendations for exploring conflicting signals in such situations. [Amaranthaceae; gene tree discordance; hybridization; incomplete lineage sorting; phylogenomics; species network; species tree; transcriptomics.] Oxford University Press 2020-06-12 /pmc/articles/PMC7875436/ /pubmed/32785686 http://dx.doi.org/10.1093/sysbio/syaa066 Text en © The Author(s) 2020. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Regular Articles
Morales-Briones, Diego F
Kadereit, Gudrun
Tefarikis, Delphine T
Moore, Michael J
Smith, Stephen A
Brockington, Samuel F
Timoneda, Alfonso
Yim, Won C
Cushman, John C
Yang, Ya
Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l
title Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l
title_full Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l
title_fullStr Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l
title_full_unstemmed Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l
title_short Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l
title_sort disentangling sources of gene tree discordance in phylogenomic data sets: testing ancient hybridizations in amaranthaceae s.l
topic Regular Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875436/
https://www.ncbi.nlm.nih.gov/pubmed/32785686
http://dx.doi.org/10.1093/sysbio/syaa066
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