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The core of speciation is the genetic incompatibilities underlying the evolution of reproductive isolation. Hybrid zones provide unique opportunities to unravel the evolutionary rate of reproductive isolation in the origin of species. The selection against hybrids accrues with increased genetic incompatibilities and drives the evolution of reproductive isolation in the face of gene flow. There have been decades of debates over the relationship between the selection against hybrids and the genetic divergence between parental lineages. The debates occur primarily among three models: (1) the Linear Effect Model predicts a linear growth of selection against hybrids with the divergence of parental lineages; (2) the Snowball Effect Model predicts exponential growth of selection; whereas (3) the Slowdown Effect Model predicts a logarithmic growth of selection. Here, we tested the three models with 116 animal hybrid zones worldwide. The Slowdown Effect Model is best supported with the full dataset. We refined the three models to consider independent and interactive effects of mitochondrial (mtDNA) and nuclear genetic (nDNA) divergence on the selection against hybrids. There is greater mtDNA distance and greater selection on mtDNA than the nDNA. Together, the refined Linear Model was most supported by the data, revealing a significant mitochondrial effect as well as a marginal and heterogeneous nuclear effect. Collectively, this data synthesis in the early stage of animal speciation reveals a gradual development of reproductive isolation with mitonuclear genetic divergence.
https://doi.org/10.32942/X26P9S
Life Sciences
Speciation rate, Hybrid zone, Snowball Effect, Genetic Incompatibility, speciation, hybridization, Cline
Published: 2025-02-21 09:34
CC-By Attribution-NonCommercial-NoDerivatives 4.0 International
Conflict of interest statement:
NA
Data and Code Availability Statement:
Final data and code involved in this study will be accessible here: https://github.com/setophaga/hybridzone.snowball/tree/main/Final.data.code
Language:
English
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