Published March 5, 2024 | Version v1
Software Open

Data from: Dominance reversals and the maintenance of genetic variation

  • 1. University of East Anglia

Description

Beneficial reversals of dominance reduce the costs of genetic trade-offs and can enable selection to maintain genetic variation for fitness. Beneficial dominance reversals are characterized by the beneficial allele for a given context (e.g. habitat, developmental stage, trait, or sex) being dominant in that context but recessive where deleterious. This context-dependence at least partially mitigates the fitness consequence of heterozygotes carrying one non-beneficial allele for their context and can result in balancing selection that maintains alternative alleles. Dominance reversals are theoretically plausible and are supported by mounting empirical evidence. Here we highlight the importance of beneficial dominance reversals as a mechanism for the mitigation of genetic conflict and review the theory and empirical evidence for them. We identify some areas in need of further research and development and outline three methods (dominance ordination, allele-specific expression, and allele-specific ATAC-Seq) that could facilitate the identification of antagonistic genetic variation. There is ample scope for the development of new empirical methods as well as reanalysis of existing data through the lens of dominance reversals. A greater focus on this topic will expand our understanding of the mechanisms that resolve genetic conflict and whether they maintain genetic variation.

Notes

Funding provided by: Swedish Research Council
Crossref Funder Registry ID: https://ror.org/03zttf063
Award Number: 2018-06775

Funding provided by: Natural Sciences and Engineering Research Council
Crossref Funder Registry ID: https://ror.org/01h531d29
Award Number:

Funding provided by: University of Toronto
Crossref Funder Registry ID: https://ror.org/03dbr7087
Award Number:

Methods

This is the python code and supporting files for a custom forward-time population genetic simulation of a biophysically explicit gene network subject to sexually antagonistic selection.

Files

example_parameter_file.csv

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Additional details

Related works

Is source of
10.5061/dryad.d7wm37q7k (DOI)