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Extant timetrees are consistent with a myriad of diversification histories

Author

Listed:
  • Stilianos Louca

    (University of Oregon
    University of Oregon)

  • Matthew W. Pennell

    (University of British Columbia
    University of British Columbia)

Abstract

Time-calibrated phylogenies of extant species (referred to here as ‘extant timetrees’) are widely used for estimating diversification dynamics1. However, there has been considerable debate surrounding the reliability of these inferences2–5 and, to date, this critical question remains unresolved. Here we clarify the precise information that can be extracted from extant timetrees under the generalized birth–death model, which underlies most existing methods of estimation. We prove that, for any diversification scenario, there exists an infinite number of alternative diversification scenarios that are equally likely to have generated any given extant timetree. These ‘congruent’ scenarios cannot possibly be distinguished using extant timetrees alone, even in the presence of infinite data. Importantly, congruent diversification scenarios can exhibit markedly different and yet similarly plausible dynamics, which suggests that many previous studies may have over-interpreted phylogenetic evidence. We introduce identifiable and easily interpretable variables that contain all available information about past diversification dynamics, and demonstrate that these can be estimated from extant timetrees. We suggest that measuring and modelling these identifiable variables offers a more robust way to study historical diversification dynamics. Our findings also make it clear that palaeontological data will continue to be crucial for answering some macroevolutionary questions.

Suggested Citation

  • Stilianos Louca & Matthew W. Pennell, 2020. "Extant timetrees are consistent with a myriad of diversification histories," Nature, Nature, vol. 580(7804), pages 502-505, April.
  • Handle: RePEc:nat:nature:v:580:y:2020:i:7804:d:10.1038_s41586-020-2176-1
    DOI: 10.1038/s41586-020-2176-1
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    Cited by:

    1. Andrew F Magee & Sebastian Höhna & Tetyana I Vasylyeva & Adam D Leaché & Vladimir N Minin, 2020. "Locally adaptive Bayesian birth-death model successfully detects slow and rapid rate shifts," PLOS Computational Biology, Public Library of Science, vol. 16(10), pages 1-23, October.
    2. Dimitar Dimitrov & Xiaoting Xu & Xiangyan Su & Nawal Shrestha & Yunpeng Liu & Jonathan D. Kennedy & Lisha Lyu & David Nogués-Bravo & James Rosindell & Yong Yang & Jon Fjeldså & Jianquan Liu & Bernhard, 2023. "Diversification of flowering plants in space and time," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    3. Gen Morinaga & John J. Wiens & Daniel S. Moen, 2023. "The radiation continuum and the evolution of frog diversity," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    4. Sarah T. Friedman & Martha M. Muñoz, 2023. "A latitudinal gradient of deep-sea invasions for marine fishes," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    5. Bonnie B. Blaimer & Bernardo F. Santos & Astrid Cruaud & Michael W. Gates & Robert R. Kula & István Mikó & Jean-Yves Rasplus & David R. Smith & Elijah J. Talamas & Seán G. Brady & Matthew L. Buffingto, 2023. "Key innovations and the diversification of Hymenoptera," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    6. Joan Garcia-Porta & Daniel Sol & Matt Pennell & Ferran Sayol & Antigoni Kaliontzopoulou & Carlos A. Botero, 2022. "Niche expansion and adaptive divergence in the global radiation of crows and ravens," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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