Literature DB >> 34019824

Why extinction estimates from extant phylogenies are so often zero.

Stilianos Louca1, Matthew W Pennell2.   

Abstract

Time-calibrated phylogenies of extant species ("extant timetrees") are widely used to estimate historical speciation and extinction rates by fitting stochastic birth-death models.1 These approaches have long been controversial, as many phylogenetic studies report zero extinction in many taxa, contradicting the high extinction rates seen in the fossil record and the fact that the majority of species ever to have existed are now extinct.2-9 To date, the causes of this discrepancy remain unresolved. Here, we provide a novel and simple explanation for these "zero-inflated" extinction estimates, based on the recent discovery that there exist many alternative "congruent" diversification scenarios that cannot be distinguished based solely on extant timetrees.10 Due to such congruencies, estimation methods tend to converge to some scenario congruent to (i.e., statistically indistinguishable from) the true diversification scenario, but not necessarily to the true diversification scenario itself. This congruent scenario may exhibit negative extinction rates, a biologically meaningless but mathematically feasible situation, in which case estimators will tend to stick to the boundary of zero extinction. Based on this explanation, we make multiple testable predictions, which we confirm using analyses of simulated trees and 121 empirical trees. In contrast to other proposed mechanisms for erroneous extinction rate estimates,5,11-14 our proposed mechanism specifically explains the zero inflation of previous extinction rate estimates in the absence of detectable model violations, even for large trees. Not only do our results likely resolve a long-standing mystery in phylogenetics, they demonstrate that model congruencies can have severe consequences in practice.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  birth-death model; congruent; extinction; fossil record; identifiability; macroevolution; phylogenetic trees

Mesh:

Year:  2021        PMID: 34019824     DOI: 10.1016/j.cub.2021.04.066

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  5 in total

1.  When adaptive radiations collide: Different evolutionary trajectories between and within island and mainland lizard clades.

Authors:  Austin H Patton; Luke J Harmon; María Del Rosario Castañeda; Hannah K Frank; Colin M Donihue; Anthony Herrel; Jonathan B Losos
Journal:  Proc Natl Acad Sci U S A       Date:  2021-10-19       Impact factor: 11.205

2.  Evolutionary legacies in contemporary tetrapod imperilment.

Authors:  Dan A Greenberg; R Alexander Pyron; Liam G W Johnson; Nathan S Upham; Walter Jetz; Arne Ø Mooers
Journal:  Ecol Lett       Date:  2021-09-12       Impact factor: 11.274

3.  Protracted Speciation under the State-Dependent Speciation and Extinction Approach.

Authors:  Xia Hua; Tyara Herdha; Conrad J Burden
Journal:  Syst Biol       Date:  2022-10-12       Impact factor: 9.160

4.  Pulled Diversification Rates, Lineages-Through-Time Plots, and Modern Macroevolutionary Modeling.

Authors:  Andrew J Helmstetter; Sylvain Glemin; Jos Käfer; Rosana Zenil-Ferguson; Hervé Sauquet; Hugo de Boer; Léo-Paul M J Dagallier; Nathan Mazet; Eliette L Reboud; Thomas L P Couvreur; Fabien L Condamine
Journal:  Syst Biol       Date:  2022-04-19       Impact factor: 9.160

Review 5.  Integrative Phylogenetics: Tools for Palaeontologists to Explore the Tree of Life.

Authors:  Raquel López-Antoñanzas; Jonathan Mitchell; Tiago R Simões; Fabien L Condamine; Robin Aguilée; Pablo Peláez-Campomanes; Sabrina Renaud; Jonathan Rolland; Philip C J Donoghue
Journal:  Biology (Basel)       Date:  2022-08-07
  5 in total

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