4.6 Article

On the Effect of Asymmetrical Trait Inheritance on Models of Trait Evolution

Journal

SYSTEMATIC BIOLOGY
Volume 70, Issue 2, Pages 376-388

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/sysbio/syaa055

Keywords

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Funding

  1. Swiss National Science Foundation [CEFP3_187012, FN-1749, 31003A-163428]
  2. Swedish Research Council [VR: 2019-04739]
  3. University of Lausanne
  4. Banting postdoctoral fellowship [151042]
  5. European Union [785910]
  6. Swiss National Science Foundation (SNF) [31003A_163428] Funding Source: Swiss National Science Foundation (SNF)
  7. Marie Curie Actions (MSCA) [785910] Funding Source: Marie Curie Actions (MSCA)

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Current phylogenetic comparative methods often assume that phenotypes are inherited identically during speciation, neglecting the fact that species are made up of individuals with their own trait values. This study investigates the impact of asymmetrical trait inheritance on macroevolutionary analyses, highlighting the potential for small jumps in phenotypes to significantly affect model selection and parameter estimation. The findings emphasize the importance of considering intraspecific variability in modeling trait evolution and inheritance during speciation in comparative methods.
Current phylogenetic comparative methods modeling quantitative trait evolution generally assume that, during speciation, phenotypes are inherited identically between the two daughter species. This, however, neglects the fact that species consist of a set of individuals, each bearing its own trait value. Indeed, because descendent populations after speciation are samples of a parent population, we can expect their mean phenotypes to randomly differ from one another potentially generating a jump of mean phenotypes due to asymmetrical trait inheritance at cladogenesis. Here, we aim to clarify the effect of asymmetrical trait inheritance at speciation on macroevolutionary analyses, focusing on model testing and parameter estimation using some of the most common models of quantitative trait evolution. We developed an individual-based simulation framework in which the evolution of phenotypes is determined by trait changes at the individual level accumulating across generations, and cladogenesis occurs then by separation of subsets of the individuals into new lineages. Through simulations, we assess the magnitude of phenotypic jumps at cladogenesis under different modes of trait inheritance at speciation. We show that even small jumps can strongly alter both the results of model selection and parameter estimations, potentially affecting the biological interpretation of the estimated mode of evolution of a trait. Our results call for caution when interpreting analyses of trait evolution, while highlighting the importance of testing a wide range of alternative models. In the light of our findings, we propose that future methodological advances in comparative methods should more explicitly model the intraspecific variability around species mean phenotypes and how it is inherited at speciation.

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