Evidence map›Paper›PMID 34809586›Full record

ArticleBMC ecology and evolution2021

Divergence time estimation of Galliformes based on the best gene shopping scheme of ultraconserved elements.

De Chen, Peter A Hosner, Donna L Dittmann, John P O'Neill, Sharon M Birks, Edward L Braun, Rebecca T Kimball

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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14citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

De ChenMOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China.
Peter A HosnerDepartment of Biology, University of Florida, Gainesville, FL, USA.
Donna L DittmannMuseum of Natural Science, Louisiana State University, Baton Rouge, LA, USA.
John P O'NeillMuseum of Natural Science, Louisiana State University, Baton Rouge, LA, USA.
Sharon M BirksBurke Museum of Natural History and Culture, University of Washington, Seattle, WA, USA.
Edward L BraunDepartment of Biology, University of Florida, Gainesville, FL, USA.
Rebecca T KimballDepartment of Biology, University of Florida, Gainesville, FL, USA. rkimball@ufl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDivergence 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.

resultsIn 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.

conclusionsWe 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.

Indexed as

GalliformesAnimalsFossilsPhylogenyTimeData heterogeneityFossil calibrationGalliformesMolecular datingPartitionFinderPhylogenomicsUltraconserved elements

Identifiers

PMID34809586
PMCPMC8609756

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.