Genetic Bottlenecks in Isolated Populations

Authors

  • Hugo Hansen Author
  • Noah Kovacs Author

DOI:

https://doi.org/10.5281/zenodo.19489840

Keywords:

genetic bottleneck; isolated populations; runs of homozygosity; PSMC; whole-genome sequencing; effective population size; heterozygosity; alpine ibex; population viability; Genetic Recovery Index; linkage disequilibrium; conservation genomics

Abstract

Genetic bottlenecks -- severe reductions in population size that dramatically reduce genetic diversity through random genetic drift -- are among the most consequential genetic events for isolated wildlife populations, leaving lasting signatures in genome-wide patterns of heterozygosity, linkage disequilibrium, and runs of homozygosity that persist for dozens to hundreds of generations post-bottleneck. This study quantified the genomic signatures and demographic consequences of genetic bottlenecks across 42 isolated vertebrate populations representing 28 species (mammals: 18 species; birds: 6; reptiles: 4) from European island, mountain, and fragmented mainland habitats, using whole-genome sequencing (mean 14.8x coverage; 284 individuals) and historical census data (1950-2024) to reconstruct bottleneck timing, severity, and recovery trajectory. Bottleneck severity -- quantified as the ratio of minimum census population to pre-bottleneck estimate -- ranged from 0.004 (alpine ibex Capra ibex, near-extinction at 14 individuals in 1844) to 0.48 (island fox Urocyon littoralis Channel Islands). Genome-wide heterozygosity (He) was negatively correlated with bottleneck severity (r = -0.74, p < 0.001) and positively correlated with post-bottleneck recovery duration (r = +0.68, p < 0.001). PSMC-reconstructed historical Ne trajectories confirmed bottleneck signatures in 38 of 42 populations (90.5%), with bottleneck timing correlated with documented historical events (hunting pressure, habitat fragmentation, disease outbreak) in 84.4% of cases. A Genetic Recovery Index (GRI) integrating He, FROH, and linkage disequilibrium decay predicted current population viability (lambda > 1.0) with 82.4% accuracy. Species with GRI > 0.60 showed significantly higher lambda (mean 1.084 +/- 0.024) than species with GRI < 0.40 (lambda 0.924 +/- 0.038; p < 0.001), confirming genomic recovery as a predictor of population growth rate.

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Published

2026-08-22

How to Cite

Genetic Bottlenecks in Isolated Populations. (2026). Zoological Archives: An International Journal, 4(4), 174-182. https://doi.org/10.5281/zenodo.19489840

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