10.5061/DRYAD.6343J
da Silva, Jack
University of Adelaide
Galbraith, James D.
University of Adelaide
Data from: Hill-Robertson interference maintained by red queen dynamics
favours the evolution of sex
Dryad
dataset
2017
Red Queen dynamics
recombination
antagonistic coevolution
Sex
Hill-Robertson interference
2020-06-30T00:00:00Z
en
https://doi.org/10.1111/jeb.13068
103057 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Although it is well established theoretically that selective interference
among mutations (Hill-Robertson interference) favours meiotic
recombination, genome-wide mean rates of mutation and strengths of
selection appear too low to support this as the mechanism favouring
recombination in nature. A possible solution to this discrepancy between
theory and observation is that selection is at least intermittently very
strong due to the antagonistic coevolution between a host and its
parasites. The Red Queen theory posits that such coevolution generates
fitness epistasis among loci, which generates negative linkage
disequilibrium among beneficial mutations, which in turn favours
recombination. This theory has received only limited support. However, Red
Queen dynamics without epistasis may provide the ecological conditions
that maintain strong and frequent selective interference in finite
populations that indirectly selects for recombination. This hypothesis is
developed here through the simulation of Red Queen dynamics. This approach
required the development of a method to calculate the exact frequencies of
multi-locus haplotypes after recombination. Simulations show that
recombination is favoured by the moderately weak selection of many loci
involved in the interaction between a host and its parasites, which
results in substitution rates that are compatible with empirical
estimates. The model also reproduces the previously reported rapid
increase in the rate of outcrossing in Caenorhabditis elegans coevolving
with a bacterial pathogen.
recomb8.f90: Fortran 90 Code for Main Recursion-Equation ModelFortran 90
code used for the simulations reported in Figures 1-7. Compilation of this
code requires the Intel Math Kernel Library Vector Statistical
Library.recomb8.f90recomb_individ2.1.f90: Fortran 90 Code for
Individual-Based ModelFortran 90 code used for simulations in Figure 8 and
used to verify the recursion-equation model (Table
S1).recomb_individ2.1.f90recomb2omp3.f90: Fortran 90 Code Used to
Calculate Probability of Fixation of Recombination AlleleFortran 90 code
used for simulations in Table S5. Compilation of this code requires the
Intel Math Kernel Library Vector Statistical Library and an OpenMP
library.recomb2omp3.f90