SMILE

Stochastic Models for the Inference of Life Evolution

Bibtex

@article{debarre_evolution_2015,
Author = {Débarre, Florence and Yeaman, Sam and Guillaume,
Frédéric},
Title = {Evolution of {Quantitative} {Traits} under a
{Migration}-{Selection} {Balance}: {When} {Does} {Skew}
{Matter}?*},
Journal = {The American Naturalist},
Volume = {186},
Number = {S1},
Pages = {S37--S47},
abstract = {Quantitative-genetic models of differentiation under
migration-selection balance often rely on the
assumption of normally distributed genotypic and
phenotypic values. When a population is subdivided into
demes with selection toward different local optima,
migration between demes may result in asymmetric, or
skewed, local distributions. Using a simplified
two-habitat model, we derive formulas without a priori
assuming a Gaussian distribution of genotypic values,
and we find expressions that naturally incorporate
higher moments, such as skew. These formulas yield
predictions of the expected divergence under
migration-selection balance that are more accurate than
models assuming Gaussian distributions, which
illustrates the importance of incorporating these
higher moments to assess the response to selection in
heterogeneous environments. We further show with
simulations that traits with loci of large effect
display the largest skew in their distribution at
migration-selection balance.},
doi = {10.1086/681717},
file = {Snapshot:/home/marc/.mozilla/firefox/mwad0hks.default/zotero/storage/BV2E3V9F/681717.html:text/html},
shorttitle = {Evolution of {Quantitative} {Traits} under a
{Migration}-{Selection} {Balance}},
url = {http://www.jstor.org/stable/10.1086/681717},
urldate = {2015-08-27},
year = 2015
}