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Barba-Montoya J , Tao Q , Kumar S
Molecular and morphological clocks for estimating evolutionary divergence times
BMC Ecol Evol. 2021 May 12;21(1) :83
PMID: 33980146    PMCID: PMC8117668   
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Abstract
BACKGROUND: Matrices 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. RESULTS: We 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 asĀ  some intermediate nodes may show large time differences between these two types of data. CONCLUSIONS: Our 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.
Notes
2730-7182 Barba-Montoya, Jose Tao, Qiqing Kumar, Sudhir Orcid: 0000-0002-9918-8212 R01 GM126567/GM/NIGMS NIH HHS/United States 1661218/National Science Foundation/ GM0126567-03/NH/NIH HHS/United States NNX16AJ30G/NASA/NASA/United States Journal Article BMC Ecol Evol. 2021 May 12;21(1):83. doi: 10.1186/s12862-021-01798-6.