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Exploring the Macroevolutionary Signature of Asymmetric Inheritance at Speciation.

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Title: Exploring the Macroevolutionary Signature of Asymmetric Inheritance at Speciation.
Authors: Gaboriau, Théo1 (AUTHOR), Tobias, Joseph A2 (AUTHOR), Silvestro, Daniele3,4,5,6 (AUTHOR), Salamin, Nicolas1 (AUTHOR)
Source: Systematic Biology. Mar2025, Vol. 74 Issue 2, p267-281. 15p.
Subjects: Macroevolution, Genetic speciation, Adaptive radiation, Heredity, Phenotypic plasticity, Finches
Abstract: Popular comparative phylogenetic models such as Brownian Motion, Ornstein-Ulhenbeck, and their extensions assume that, at speciation, a trait value is inherited identically by 2 descendant species. This assumption contrasts with models of speciation at a micro-evolutionary scale where descendants' phenotypic distributions are sub-samples of the ancestral distribution. Different speciation mechanisms can lead to a displacement of the ancestral phenotypic mean among descendants and an asymmetric inheritance of the ancestral phenotypic variance. In contrast, even macro-evolutionary models that account for intraspecific variance assume symmetrically conserved inheritance of ancestral phenotypic distribution at speciation. Here, we develop an Asymmetric Brownian Motion model (ABM) that relaxes the assumption of symmetric and conserved inheritance of the ancestral distribution at the time of speciation. The ABM jointly models the evolution of both intra- and inter-specific phenotypic variation. It also infers the mode of phenotypic inheritance at speciation, which can range from a symmetric and conserved inheritance, where descendants inherit the ancestral distribution, to an asymmetric and displaced inheritance, where descendants inherit divergent phenotypic means and variances. To demonstrate this model, we analyze the evolution of beak morphology in Darwin finches, finding evidence of displacement at speciation. The ABM model helps to bridge micro- and macro-evolutionary models of trait evolution by providing a more robust framework for testing the effects of ecological speciation, character displacement, and niche partitioning on trait evolution at the macro-evolutionary scale. [ABSTRACT FROM AUTHOR]
Copyright of Systematic Biology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Exploring the Macroevolutionary Signature of Asymmetric Inheritance at Speciation.
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  Data: <searchLink fieldCode="JN" term="%22Systematic+Biology%22">Systematic Biology</searchLink>. Mar2025, Vol. 74 Issue 2, p267-281. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Macroevolution%22">Macroevolution</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+speciation%22">Genetic speciation</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+radiation%22">Adaptive radiation</searchLink><br /><searchLink fieldCode="DE" term="%22Heredity%22">Heredity</searchLink><br /><searchLink fieldCode="DE" term="%22Phenotypic+plasticity%22">Phenotypic plasticity</searchLink><br /><searchLink fieldCode="DE" term="%22Finches%22">Finches</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Popular comparative phylogenetic models such as Brownian Motion, Ornstein-Ulhenbeck, and their extensions assume that, at speciation, a trait value is inherited identically by 2 descendant species. This assumption contrasts with models of speciation at a micro-evolutionary scale where descendants' phenotypic distributions are sub-samples of the ancestral distribution. Different speciation mechanisms can lead to a displacement of the ancestral phenotypic mean among descendants and an asymmetric inheritance of the ancestral phenotypic variance. In contrast, even macro-evolutionary models that account for intraspecific variance assume symmetrically conserved inheritance of ancestral phenotypic distribution at speciation. Here, we develop an Asymmetric Brownian Motion model (ABM) that relaxes the assumption of symmetric and conserved inheritance of the ancestral distribution at the time of speciation. The ABM jointly models the evolution of both intra- and inter-specific phenotypic variation. It also infers the mode of phenotypic inheritance at speciation, which can range from a symmetric and conserved inheritance, where descendants inherit the ancestral distribution, to an asymmetric and displaced inheritance, where descendants inherit divergent phenotypic means and variances. To demonstrate this model, we analyze the evolution of beak morphology in Darwin finches, finding evidence of displacement at speciation. The ABM model helps to bridge micro- and macro-evolutionary models of trait evolution by providing a more robust framework for testing the effects of ecological speciation, character displacement, and niche partitioning on trait evolution at the macro-evolutionary scale. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Systematic Biology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1093/sysbio/syae043
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        Text: English
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      – SubjectFull: Adaptive radiation
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      – SubjectFull: Heredity
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      – SubjectFull: Phenotypic plasticity
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              Text: Mar2025
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              Y: 2025
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