10.5061/DRYAD.F8Q6B
Assis, Ana Paula A.
University of Sao Paulo
Patton, James L.
University of California, Berkeley
Hubbe, Alex
Federal University of Bahia
Marroig, Gabriel
University of Sao Paulo
Data from: Directional selection effects on patterns of phenotypic
(co)variation in wild populations
Dryad
dataset
2016
Tamias speciosus
Adaptive landscape
Tamias alpinus
Chipmunks
Genotype-phenotype map
P-matrix
Tamias
2016-11-03T13:48:23Z
2016-11-03T13:48:23Z
en
https://doi.org/10.1098/rspb.2016.1615
204800 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Phenotypic (co)variation is a prerequisite for evolutionary change, and
understanding how (co)variation evolves is of crucial importance to the
biological sciences. Theoretical models predict that under directional
selection, phenotypic (co)variation should evolve in step with the
underlying adaptive landscape, increasing the degree of correlation among
co-selected traits as well as the amount of genetic variance in the
direction of selection. Whether either of these outcomes occurs in natural
populations is an open question and thus an important gap in evolutionary
theory. Here, we documented changes in the phenotypic (co)variation
structure in two separate natural populations in each of two chipmunk
species (Tamias alpinus and T. speciosus) undergoing directional
selection. In populations where selection was strongest (those of T.
alpinus), we observed changes, at least for one population, in phenotypic
(co)variation that matched theoretical expectations, namely an increase of
both phenotypic integration and (co)variance in the direction of selection
and a re-alignment of the major axis of variation with the selection
gradient.
covariance_matrices_chipmunksThis file has the covariance matrices for
each time period in each population (each sheet). the last sheet
represents the averages in each trait for each population