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Divergence time estimation of Galliformes based on the best gene shopping scheme of ultraconserved elements
BACKGROUND: Divergence time estimation is fundamental to understanding many aspects of the evolution of organisms, such as character evolution, diversification, and biogeography. With the development of sequence technology, improved analytical methods, and knowledge of fossils for calibration, it is...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609756/ https://www.ncbi.nlm.nih.gov/pubmed/34809586 http://dx.doi.org/10.1186/s12862-021-01935-1 |
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author | Chen, De Hosner, Peter A. Dittmann, Donna L. O’Neill, John P. Birks, Sharon M. Braun, Edward L. Kimball, Rebecca T. |
author_facet | Chen, De Hosner, Peter A. Dittmann, Donna L. O’Neill, John P. Birks, Sharon M. Braun, Edward L. Kimball, Rebecca T. |
author_sort | Chen, De |
collection | PubMed |
description | BACKGROUND: Divergence time estimation is fundamental to understanding many aspects of the evolution of organisms, such as character evolution, diversification, and biogeography. With the development of sequence technology, improved analytical methods, and knowledge of fossils for calibration, it is possible to obtain robust molecular dating results. However, while phylogenomic datasets show great promise in phylogenetic estimation, the best ways to leverage the large amounts of data for divergence time estimation has not been well explored. A potential solution is to focus on a subset of data for divergence time estimation, which can significantly reduce the computational burdens and avoid problems with data heterogeneity that may bias results. RESULTS: In this study, we obtained thousands of ultraconserved elements (UCEs) from 130 extant galliform taxa, including representatives of all genera, to determine the divergence times throughout galliform history. We tested the effects of different “gene shopping” schemes on divergence time estimation using a carefully, and previously validated, set of fossils. Our results found commonly used clock-like schemes may not be suitable for UCE dating (or other data types) where some loci have little information. We suggest use of partitioning (e.g., PartitionFinder) and selection of tree-like partitions may be good strategies to select a subset of data for divergence time estimation from UCEs. Our galliform time tree is largely consistent with other molecular clock studies of mitochondrial and nuclear loci. With our increased taxon sampling, a well-resolved topology, carefully vetted fossil calibrations, and suitable molecular dating methods, we obtained a high quality galliform time tree. CONCLUSIONS: We provide a robust galliform backbone time tree that can be combined with more fossil records to further facilitate our understanding of the evolution of Galliformes and can be used as a resource for comparative and biogeographic studies in this group. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12862-021-01935-1. |
format | Online Article Text |
id | pubmed-8609756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86097562021-11-24 Divergence time estimation of Galliformes based on the best gene shopping scheme of ultraconserved elements Chen, De Hosner, Peter A. Dittmann, Donna L. O’Neill, John P. Birks, Sharon M. Braun, Edward L. Kimball, Rebecca T. BMC Ecol Evol Research BACKGROUND: Divergence time estimation is fundamental to understanding many aspects of the evolution of organisms, such as character evolution, diversification, and biogeography. With the development of sequence technology, improved analytical methods, and knowledge of fossils for calibration, it is possible to obtain robust molecular dating results. However, while phylogenomic datasets show great promise in phylogenetic estimation, the best ways to leverage the large amounts of data for divergence time estimation has not been well explored. A potential solution is to focus on a subset of data for divergence time estimation, which can significantly reduce the computational burdens and avoid problems with data heterogeneity that may bias results. RESULTS: In this study, we obtained thousands of ultraconserved elements (UCEs) from 130 extant galliform taxa, including representatives of all genera, to determine the divergence times throughout galliform history. We tested the effects of different “gene shopping” schemes on divergence time estimation using a carefully, and previously validated, set of fossils. Our results found commonly used clock-like schemes may not be suitable for UCE dating (or other data types) where some loci have little information. We suggest use of partitioning (e.g., PartitionFinder) and selection of tree-like partitions may be good strategies to select a subset of data for divergence time estimation from UCEs. Our galliform time tree is largely consistent with other molecular clock studies of mitochondrial and nuclear loci. With our increased taxon sampling, a well-resolved topology, carefully vetted fossil calibrations, and suitable molecular dating methods, we obtained a high quality galliform time tree. CONCLUSIONS: We provide a robust galliform backbone time tree that can be combined with more fossil records to further facilitate our understanding of the evolution of Galliformes and can be used as a resource for comparative and biogeographic studies in this group. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12862-021-01935-1. BioMed Central 2021-11-22 /pmc/articles/PMC8609756/ /pubmed/34809586 http://dx.doi.org/10.1186/s12862-021-01935-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chen, De Hosner, Peter A. Dittmann, Donna L. O’Neill, John P. Birks, Sharon M. Braun, Edward L. Kimball, Rebecca T. Divergence time estimation of Galliformes based on the best gene shopping scheme of ultraconserved elements |
title | Divergence time estimation of Galliformes based on the best gene shopping scheme of ultraconserved elements |
title_full | Divergence time estimation of Galliformes based on the best gene shopping scheme of ultraconserved elements |
title_fullStr | Divergence time estimation of Galliformes based on the best gene shopping scheme of ultraconserved elements |
title_full_unstemmed | Divergence time estimation of Galliformes based on the best gene shopping scheme of ultraconserved elements |
title_short | Divergence time estimation of Galliformes based on the best gene shopping scheme of ultraconserved elements |
title_sort | divergence time estimation of galliformes based on the best gene shopping scheme of ultraconserved elements |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609756/ https://www.ncbi.nlm.nih.gov/pubmed/34809586 http://dx.doi.org/10.1186/s12862-021-01935-1 |
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