10.5061/DRYAD.62SM982
Saunders, Paul A
University of Lausanne
Neuenschwander, Samuel
Swiss Institute of Bioinformatics
Perrin, Nicolas
University of Lausanne
Data from: Sex chromosome turnovers and genetic drift: a simulation study
Dryad
dataset
2018
quantiNemo
Sex determination
Transitions
Individual-based simulations
Sex ratio selection
2018-06-25T13:05:07Z
2018-06-25T13:05:07Z
en
https://doi.org/10.1111/jeb.13336
7971 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The recent advances of new genomic technologies has enabled to identify
and characterize sex chromosomes in an increasing number of non-model
species, revealing that many plants and animals undergo frequent sex
chromosome turnovers. What evolutionary forces drive these turnovers
remains poorly understood, but it was recently proposed that drift might
play a more important role than generally assumed. We analyzed the
dynamics of different types of turnovers using individual-based
simulations, and show that when mediated by genetic drift, turnovers are
usually easier to achieve than substitutions at neutral markers, but that
their dynamics and relative likelihoods vary with the type of the resident
and emergent sex chromosome system (XY and/or ZW), and the dominance
relationships among the sex-determining factors. Focusing on turnovers
driven by epistatically dominant mutations, we find that drift-mediated
turnovers that preserve the heterogamety pattern are 2-4x more likely than
those along which the heterogametic sex changes. This ratio nevertheless
decreases along with effective population size, and can even reverse in
case of extreme polygyny. This can be attributed to a “drift-induced”
selective force, known to influence transitions between male and female
heterogamety, but which according to our study, does not affect turnovers
that preserve the heterogametic sex.
simulation_filesThis is the Dryad data submission corresponding to
"Sex chromosome turnovers and genetic drift: a simulation study"
by Saunders, Neuenschwander and Perrin, Journal of Evolutionary Biology It
contains two folders: * a folder with the input files for the simulations
with information on all parameters. * a folder with the allelic value
files, necessary to specify the type to turnover studied in a simulation
(or set of simulations). All informations and download links for
quantiNemo executable and corresponding manual can be found at
http://www2.unil.ch/popgen/softwares/quantinemo