Evidence map›Paper›PMID 32681798›Full record

ArticleSystematic biology2021

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

Pablo Duchen, Michael L Alfaro, Jonathan Rolland, Nicolas Salamin, Daniele Silvestro

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Article in Systematic biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Pablo DuchenDepartment of Computational Biology, University of Lausanne, Quartier Sorge, 1015 Lausanne, Switzerland.
Michael L AlfaroUniversity of California Los Angeles (UCLA). College Life Sciences - Ecology and Evolutionary Biology. Los Angeles, CA, USA.
Jonathan RollandDepartment of Computational Biology, University of Lausanne, Quartier Sorge, 1015 Lausanne, Switzerland.
Nicolas SalaminDepartment of Computational Biology, University of Lausanne, Quartier Sorge, 1015 Lausanne, Switzerland.
Daniele SilvestroDepartment of Biology, University of Fribourg, 1700 Fribourg, Switzerland Nicolas Salamin and Daniele Silvestro contributed equally to this article.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Biological EvolutionGenetic SpeciationComputer SimulationHumansPhenotypePhylogeny

Identifiers

PMID32681798
PMCPMC7875446

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