Evidence map›Paper›PMID 33980146›Full record

ArticleBMC ecology and evolution2021

Molecular and morphological clocks for estimating evolutionary divergence times.

Jose Barba-Montoya, Qiqing Tao, Sudhir Kumar

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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 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jose Barba-MontoyaInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, 19122, USA.
Qiqing TaoInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, 19122, USA.
Sudhir KumarInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, 19122, USA. s.kumar@temple.edu.ORCID 0000-0002-9918-8212

Funding

Methods For Evolutionary Genomics AnalysisR35GM139540 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Sudhir Kumar · 2021 to 2026
$2.9M
Inferring molecular evolutionary rates and divergence datesR01GM126567 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI KUMAR, SUDHIR · 2018 to 2020
$951k
NIGMS NIH HHS R01 GM126567NIGMS NIH HHS R35 GM139540
6 · The paper itself

Abstract

backgroundMatrices of morphological characters are frequently used for dating species divergence times in systematics. In some studies, morphological and molecular character data from living taxa are combined, whereas others use morphological characters from extinct taxa as well. We investigated whether morphological data produce time estimates that are concordant with molecular data. If true, it will justify the use of morphological characters alongside molecular data in divergence time inference.

resultsWe systematically analyzed three empirical datasets from different species groups to test the concordance of species divergence dates inferred using molecular and discrete morphological data from extant taxa as test cases. We found a high correlation between their divergence time estimates, despite a poor linear relationship between branch lengths for morphological and molecular data mapped onto the same phylogeny. This was because node-to-tip distances showed a much higher correlation than branch lengths due to an averaging effect over multiple branches. We found that nodes with a large number of taxa often benefit from such averaging. However, considerable discordance between time estimates from molecules and morphology may still occur as  some intermediate nodes may show large time differences between these two types of data.

conclusionsOur findings suggest that node- and tip-calibration approaches may be better suited for nodes with many taxa. Nevertheless, we highlight the importance of evaluating the concordance of intrinsic time structure in morphological and molecular data before any dating analysis using combined datasets.

Indexed as

Biological EvolutionFossilsBayes TheoremPhylogenyTimeBayesian inferenceFossil calibrationMolecular clockMorphological clockSpecies divergence time estimation

Identifiers

PMID33980146
PMCPMC8117668

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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.