The relationship between genomic variation and genetic load: insights from small island populations
Small populations face high extinction risks. This can be explained by several non-genetic and genetic factors, the latter including the loss of genetic diversity and evolutionary potential, as well as the accumulation of harmful mutations (genetic load). Using whole-genome data from island populations with different effective sizes, we estimated genetic variation and load and explored the relationship between these quantities. An extremely small population of the Aeolian wall lizard, Podarcis raffonei, likely isolated for tens of thousands of years, shows the lowest genome-wide heterozygosity observed in wild eukaryotes (one polymorphic site every 300 kb on average). Despite this, its realized genetic load is comparable to that observed in another larger and more genetically variable population. Both populations have lower variation and higher load than the much more abundant sister species, the Sicilian wall lizard. These observations are consistent with the hypothesis that populations experiencing severe bottlenecks may persist for extended periods with extremely low genomic variation, provided that their burden of deleterious mutations remains within tolerable bounds.
Authors
- Maëva Gabrielli (ORCID: https://orcid.org/0000-0002-6507-7215)
- Roberto Biello (ORCID: https://orcid.org/0000-0002-5916-884X)
- Claúdio Ciofi (ORCID: https://orcid.org/0000-0001-8537-8659)
- Emiliano Trucchi (ORCID: https://orcid.org/0000-0002-1270-5273)
- Giorgio Bertorelle (ORCID: https://orcid.org/0000-0002-2498-2702)
- Andrea Benazzo (ORCID: https://orcid.org/0000-0002-3434-2979)
- Alessio Iannucci
- Daniele Salvi
- Gentile Francesco Ficetola
Institutions
- Marche Polytechnic University (IT)
- Centre National de la Recherche Scientifique (FR)
- Université Fédérale de Toulouse Midi-Pyrénées (FR)
- University of Milan (IT)
- University of Ferrara (IT)
- University of L'Aquila (IT)
- Laboratoire d'Écologie Alpine (FR)
- Géosciences Environnement Toulouse (FR)
- Institut de Recherche pour le Développement (FR)
- University of Florence (IT)
- Université Grenoble Alpes (FR)
Publication Details
- Journal
- Heredity
- Published
- 2026-03-28
- DOI
- https://doi.org/10.1038/s41437-026-00835-8
- Primary Topic
- Evolution and Genetic Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00