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ZENODO
Dataset . 2015
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2015
License: CC 0
Data sources: Datacite
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Data from: Rate of evolutionary change in cranial morphology of the marsupial genus Monodelphis is constrained by the availability of additive genetic variation

Authors: Porto, Arthur; Sebastião, Harley; Pavan, Silvia Eliza; VandeBerg, John L.; Marroig, Gabriel; Cheverud, James M.;

Data from: Rate of evolutionary change in cranial morphology of the marsupial genus Monodelphis is constrained by the availability of additive genetic variation

Abstract

We tested the hypothesis that the rate of marsupial cranial evolution is dependent on the distribution of genetic variation in multivariate space. To do so, we carried out a genetic analysis of cranial morphological variation in laboratory strains of Monodelphis domestica and used estimates of genetic covariation to analyze the morphological diversification of the Monodelphis brevicaudata species group. We found that within-species genetic variation is concentrated in only a few axes of the morphospace and that this strong genetic covariation influenced the rate of morphological diversification of the brevicaudata group, with between-species divergence occurring fastest when occurring along the genetic line of least resistance. Accounting for the geometric distribution of genetic variation also increased our ability to detect the selective regimen underlying species diversification, with several instances of selection only being detected when genetic covariances were taken into account. Therefore, this work directly links patterns of genetic covariation among traits to macroevolutionary patterns of morphological divergence. Our findings also suggest that the limited distribution of Monodelphis species in morphospace is the result of a complex interplay between the limited dimensionality of available genetic variation and strong stabilizing selection along two major axes of genetic variation.

Priors_Posterior_and_MeasurementsBSFG model input data and resulting posterior distributions. File names follow the convention established by the BSFG model (Runcie & Mukherjee, 2013). A file containing the 30 linear measurements collected in the skull of each strain specimen is also attached.MatricesVariance/covariance matrices used in this study, separated by species. The BSFG G-matrix is named G_Bayes. The BSFG P-matrix is named P_Bayes.Posterior_and_matrices_GnoiseBSFG model priors and posterior distributions, when estimating G based on random noise. File names follow the convention established by the BSFG model (Runcie & Mukherjee, 2013).Species_and_node_informationInformation on species' trait means and branch lengths used when estimating rate of morphological evolution. Branch names correspond to the names reported in the main text.Species_and_node_info.rar

Keywords

morphospace, Monodelphis domestica

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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