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Abstract
The importance of palaeontological data in divergence time estimation has increased with the introduction of Bayesian Total-Evidence Dating methods which utilise fossil taxa directly for calibration, facilitated by the joint analysis of morphological and molecular data. Fossil taxa are invariably incompletely known as a consequence of taphonomic processes, resulting in the decidedly non-random distribution of missing data. The impact of non-random missing data on the accuracy and precision of clade age estimation is unknown. In an attempt to constrain the impact of taphonomy on tip-calibrated dating analyses, we compared clade ages estimated from a very complete morphological matrix to ages estimated from the same matrix permuted to simulate the progressive loss of anatomical information resulting from taphonomic processes. We demonstrate that systematically distributed missing data negatively influence clade age estimates, but that successive stages within the taphonomic process introduce greater differences in age estimates, when compared to estimates obtained from untreated data. Despite these effects, the general influence of missing data is weak, presumably due to the compensatory effect of extensive morphological data from extant taxa. We suggest that, in the absence of models that can explicitly account for taphonomic processes, morphological datasets should be constructed to minimise the impact of taphonomy on divergence time estimation.
Original language | English |
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Pages (from-to) | 687-697 |
Number of pages | 11 |
Journal | Palaeontology |
Volume | 64 |
Issue number | 5 |
Early online date | 26 Jul 2021 |
DOIs | |
Publication status | Published - Sept 2021 |
Bibliographical note
Funding Information:We thank Robert Sansom (Manchester) and our colleagues in the Bristol Palaeobiology Research Group, for discussion; Thomas Guillerme (Sheffield) and an anonymous referee provided constructive critical review that helped to improve our manuscript. This work was supported by BBSRC (BB/N000919/1 and BB/T012773/1 to PCJD) and NERC (NE/L501554/1 to JEO’R; NE/P013678/1 to PCJD) including funding from the Biosphere Evolution, Transitions and Resilience (BETR) programme, which is co‐funded by the Natural Science Foundation of China (NSFC).
Funding Information:
We thank Robert Sansom (Manchester) and our colleagues in the Bristol Palaeobiology Research Group, for discussion; Thomas Guillerme (Sheffield) and an anonymous referee provided constructive critical review that helped to improve our manuscript. This work was supported by BBSRC (BB/N000919/1 and BB/T012773/1 to PCJD) and NERC (NE/L501554/1 to JEO?R; NE/P013678/1 to PCJD) including funding from the Biosphere Evolution, Transitions and Resilience (BETR) programme, which is co-funded by the Natural Science Foundation of China (NSFC).
Publisher Copyright:
© 2021 The Palaeontological Association
Keywords
- morphology
- divergence time estimation
- missing data
- taphonomy
- Bayesian inference
- phlyogenetics
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Dive into the research topics of 'Fossilization processes have little impact on tip-calibrated divergence time analyses'. Together they form a unique fingerprint.Projects
- 3 Finished
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Efficient Bayesian phylogenomic dating with new models of trait evolution and rich diversities of living and fossil species
Donoghue, P. C. J. (Principal Investigator)
1/10/20 → 30/09/23
Project: Research
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Neoproterozoic - Phanerozoic transition
Donoghue, P. C. J. (Principal Investigator)
9/01/17 → 31/07/22
Project: Research
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Improving Bayesian methods for estimating divergence times integrating genomic and trait data
Donoghue, P. C. J. (Principal Investigator)
25/03/16 → 31/12/21
Project: Research