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Parental divergence as a predictor of hybridization outcomes
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Abstract
Hybridization can generate both fitness benefits and genetic incompatibilities, yet predicting how these opposing effects shape hybrid fitness and genome evolution remains a major challenge in evolutionary genomics. Parental genetic divergence is expected to play a central role, as increasing divergence can promote heterosis and adaptive novelty while simultaneously increasing incompatibilities and barriers to gene flow. Here, we review the theoretical and empirical evidence linking parental divergence to homoploid hybridization outcomes and use meta-analyses to identify general patterns across taxa. We find that heterosis tends to decline with increasing parental divergence, consistent with accumulation of incompatibilities with divergence. Furthermore, we show that greater parental divergence is associated with lower minor parent ancestry in hybrid genomes, potentially explained by stronger constraints on hybrid genome formation set by accumulating incompatibilities. We also find a significant association between mitochondrial and major parent ancestry, consistent with mitonuclear incompatibilities constraining hybrid genome evolution. In contrast, our results concerning minor parent ancestry on sex chromosomes are inconclusive. Together, these findings suggest that parental divergence is an important predictor of both hybrid fitness and the retention of introgressed ancestry, while highlighting substantial variation in hybridization outcomes across taxa. Our analyses also reveal major limitations arising from inconsistent reporting and gaps in available data, underscoring the need for more standardized approaches to understanding and predicting the evolutionary consequences of hybridization.
DOI
https://doi.org/10.32942/X23H5M
Subjects
Evolution, Genomics
Keywords
Hybridization, Divergence, Ancestry, Incompatibilities, Heterosis
Dates
Published: 2026-11-06 11:03
Last Updated: 2026-11-06 11:03
License
CC BY Attribution 4.0 International
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Conflict of interest statement:
The authors declare no conflicts of interest.
Data and Code Availability Statement:
The data underlying the figures and analyses are provided in the Supplementary Material. The code used to perform the statistical analyses and generate the figures will be made publicly available on Zenodo upon publication.
Language:
English
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