10.5061/DRYAD.2HB2BR7
Simon, Alexis
University of Cambridge
Bierne, Nicolas
University of Cambridge
Welch, John J.
University of Cambridge
Data from: Coadapted genomes and selection on hybrids: Fisher's
geometric model explains a variety of empirical patterns
Dryad
dataset
2019
Evolutionary genomics
Mus musculus
models
Mytilus spp.
Senecio
2019-04-12T19:47:23Z
2019-04-12T19:47:23Z
en
https://doi.org/10.1002/evl3.66
13708345 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Natural selection plays a variety of roles in hybridization, speciation
and admixture. Most research has focused on two extreme cases: crosses
between closely-related inbred lines, where hybrids are fitter than their
parents, or crosses between effectively isolated species, where hybrids
suffer severe breakdown. But many natural populations must fall into
intermediate regimes, with multiple types of gene interaction, and these
are more difficult to study. Here, we develop a simple fitness landscape
model, and show that it naturally interpolates between previous modeling
approaches, which were designed for the extreme cases, and invoke either
mildly deleterious recessives, or discrete hybrid incompatibilities. Our
model yields several new predictions, which we test with genomic data from
Mytilus mussels, and published data from plants (Zea, Populus and Senecio)
and animals (Mus, Teleogryllus and Drosophila). The predictions are
generally supported, and the model explains a number of surprising
empirical patterns. Our approach enables novel and complementary uses of
genome-wide datasets, which do not depend on identifying outlier loci, or
"speciation genes" with anomalous effects. Given its simplicity
and flexibility, and its predictive successes with a wide range of data,
the approach should be readily extendable to other outstanding questions
in the study of hybridization.
Simon2018_Evolution_LettersDatasets and code used to produce figures of
the paper. The README file details the organization of the folders.