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Rules of teeth development align microevolution with macroevolution in extant and extinct primates

  • Fabio A. Machado
  • , Carrie S. Mongle
  • , Graham Slater
  • , Anna Penna
  • , Anna Wisniewski
  • , Anna Soffin
  • , Vitor Dutra
  • , Josef C. Uyeda
  • Oklahoma State University
  • The University of Chicago
  • University of Texas at San Antonio
  • Virginia Polytechnic Institute and State University
  • Florida Atlantic University

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Macroevolutionary biologists have classically rejected the notion that higher-level patterns of divergence arise through microevolutionary processes acting within populations. For morphology, this consensus partly derives from the inability of quantitative genetics models to correctly predict the behaviour of evolutionary processes at the scale of millions of years. Developmental studies (evo-devo) have been proposed to reconcile micro- and macroevolution. However, there has been little progress in establishing a formal framework to apply evo-devo models of phenotypic diversification. Here we reframe this issue by asking whether using evo-devo models to quantify biological variation can improve the explanatory power of comparative models, thus helping us bridge the gap between micro- and macroevolution. We test this prediction by evaluating the evolution of primate lower molars in a comprehensive dataset densely sampled across living and extinct taxa. Our results suggest that biologically informed morphospaces alongside quantitative genetics models allow a seamless transition between the micro- and macroscales, whereas biologically uninformed spaces do not. We show that the adaptive landscape for primate teeth is corridor like, with changes in morphology within the corridor being nearly neutral. Overall, our framework provides a basis for integrating evo-devo into the modern synthesis, allowing an operational way to evaluate the ultimate causes of macroevolution.

Original languageEnglish
Pages (from-to)1729-1739
Number of pages11
JournalNature Ecology and Evolution
Volume7
Issue number10
DOIs
StatePublished - Oct 2023

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