Literature DB >> 34613395

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

Andrew J Helmstetter1, Sylvain Glemin2, Jos Käfer3, Rosana Zenil-Ferguson4, Hervé Sauquet5,6, Hugo de Boer7, Léo-Paul M J Dagallier8, Nathan Mazet9, Eliette L Reboud9, Thomas L P Couvreur8, Fabien L Condamine9.   

Abstract

Estimating time-dependent rates of speciation and extinction from dated phylogenetic trees of extant species (timetrees), and determining how and why they vary, is key to understanding how ecological and evolutionary processes shape biodiversity. Due to an increasing availability of phylogenetic trees, a growing number of process-based methods relying on the birth-death model have been developed in the last decade to address a variety of questions in macroevolution. However, this methodological progress has regularly been criticized such that one may wonder how reliable the estimations of speciation and extinction rates are. In particular, using lineages-through-time (LTT) plots, a recent study has shown that there are an infinite number of equally likely diversification scenarios that can generate any timetree. This has led to questioning whether or not diversification rates should be estimated at all. Here, we summarize, clarify, and highlight technical considerations on recent findings regarding the capacity of models to disentangle diversification histories. Using simulations, we illustrate the characteristics of newly proposed "pulled rates" and their utility. We recognize that the recent findings are a step forward in understanding the behavior of macroevolutionary modeling, but they in no way suggest we should abandon diversification modeling altogether. On the contrary, the study of macroevolution using phylogenetic trees has never been more exciting and promising than today. We still face important limitations in regard to data availability and methods, but by acknowledging them we can better target our joint efforts as a scientific community. [Birth-death models; extinction; phylogenetics; speciation.].
© The Author(s) 2021. Published by Oxford University Press on behalf of the Society of Systematic Biologists.

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Year:  2022        PMID: 34613395      PMCID: PMC9016617          DOI: 10.1093/sysbio/syab083

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   9.160


  76 in total

1.  Reconciling molecular phylogenies with the fossil record.

Authors:  Hélène Morlon; Todd L Parsons; Joshua B Plotkin
Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-19       Impact factor: 11.205

2.  Rates of speciation and morphological evolution are correlated across the largest vertebrate radiation.

Authors:  Daniel L Rabosky; Francesco Santini; Jonathan Eastman; Stephen A Smith; Brian Sidlauskas; Jonathan Chang; Michael E Alfaro
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

3.  Fruit evolution and diversification in campanulid angiosperms.

Authors:  Jeremy M Beaulieu; Michael J Donoghue
Journal:  Evolution       Date:  2013-07-08       Impact factor: 3.694

4.  Explosive evolutionary radiations: decreasing speciation or increasing extinction through time?

Authors:  Daniel L Rabosky; Irby J Lovette
Journal:  Evolution       Date:  2008-04-29       Impact factor: 3.694

5.  Five statistical questions about the tree of life.

Authors:  David J Aldous; Maxim A Krikun; Lea Popovic
Journal:  Syst Biol       Date:  2011-03-08       Impact factor: 15.683

6.  Why extinction estimates from extant phylogenies are so often zero.

Authors:  Stilianos Louca; Matthew W Pennell
Journal:  Curr Biol       Date:  2021-05-20       Impact factor: 10.834

7.  Assessing parameter identifiability in phylogenetic models using data cloning.

Authors:  José Miguel Ponciano; J Gordon Burleigh; Edward L Braun; Mark L Taper
Journal:  Syst Biol       Date:  2012-05-30       Impact factor: 15.683

8.  Density-dependent cladogenesis in birds.

Authors:  Albert B Phillimore; Trevor D Price
Journal:  PLoS Biol       Date:  2008-03-25       Impact factor: 8.029

9.  Non-equilibrium dynamics and floral trait interactions shape extant angiosperm diversity.

Authors:  Brian C O'Meara; Stacey D Smith; W Scott Armbruster; Lawrence D Harder; Christopher R Hardy; Lena C Hileman; Larry Hufford; Amy Litt; Susana Magallón; Stephen A Smith; Peter F Stevens; Charles B Fenster; Pamela K Diggle
Journal:  Proc Biol Sci       Date:  2016-05-11       Impact factor: 5.349

10.  Seed size and its rate of evolution correlate with species diversification across angiosperms.

Authors:  Javier Igea; Eleanor F Miller; Alexander S T Papadopulos; Andrew J Tanentzap
Journal:  PLoS Biol       Date:  2017-07-19       Impact factor: 8.029

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  2 in total

1.  A class of identifiable phylogenetic birth-death models.

Authors:  Brandon Legried; Jonathan Terhorst
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-22       Impact factor: 12.779

2.  Miocene Climate and Habitat Change Drove Diversification in Bicyclus, Africa's Largest Radiation of Satyrine Butterflies.

Authors:  Kwaku Aduse-Poku; Erik van Bergen; Szabolcs Sáfián; Steve C Collins; Rampal S Etienne; Leonel Herrera-Alsina; Paul M Brakefield; Oskar Brattström; David J Lohman; Niklas Wahlberg
Journal:  Syst Biol       Date:  2022-04-19       Impact factor: 9.160

  2 in total

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