van Oosterhout, Cock, Speak, Samuel A., Birley, Thomas, Hitchings, Lewis W. G., Bortoluzzi, Chiara, Percival-Alwyn, Lawrence, Urban, Lara, Groombridge, Jim J., Segelbacher, Gernot, Morales, Hernán E. and others. (2026) Genomic erosion in the assessment of species’ extinction risk and recovery potential. Journal of Heredity, . Article Number esag011. ISSN 0022-1503. (doi:10.1093/jhered/esag011) (KAR id:112967)
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| Official URL: https://doi.org/10.1093/jhered%2Fesag011 |
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| Resource title: | Genomic erosion in the assessment of species’ extinction risk and recovery potential |
|---|---|
| Resource type: | Pre-print |
| DOI: | 10.1101/2022.09.13.507768 |
| KDR/KAR URL: | https://kar.kent.ac.uk/97006/ |
| External URL: | https://doi.org/10.1101/2022.09.13.507768 |
Abstract
Many species are undergoing rapid population declines and environmental deterioration, leading to genomic erosion. Here we define genomic erosion as the loss of genetic diversity, accumulation of deleterious mutations, maladaptation, and introgression, all of which can undermine individual fitness and long-term population viability. Critically, this process continues even after demographic recovery due to a time-lagged impact of genetic drift, which is known as drift debt. Current conservation assessments, such as the IUCN Red List, focus on short-term extinction risk and do not capture the long-term consequences of genomic erosion. Likewise, the longer-term assessments of the IUCN Green Status may overestimate population recovery by failing to account for the enduring effects of genomic erosion. As genome sequencing becomes increasingly accessible, there is a growing opportunity to quantify genomic erosion and integrate it into conservation planning. Here, we use genomic simulations to illustrate how different genomic metrics are sensitive to the drift debt. We test how ancestral effective population size (Ne) and bottleneck history influence the tempo and severity of genomic erosion. Furthermore, we demonstrate how these dynamics shape genetic load and additive genetic variation, which are key indicators of long-term evolutionary potential. Finally, we present a proof-of-concept for a Genomic Green Status framework that aligns genomic metrics with conservation impact assessments, laying the foundation for genomics-informed strategies to support species recovery.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1093/jhered/esag011 |
| Uncontrolled keywords: | genomic erosion, biodiversity, conservation, genomics, extinction |
| Subjects: | Q Science > QH Natural history > QH75 Conservation (Biology) |
| Institutional Unit: |
Schools > School of Natural Sciences > Conservation Institutes > Durrell Institute of Conservation and Ecology |
| Former Institutional Unit: |
There are no former institutional units.
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| Funders: | University of Kent (https://ror.org/00xkeyj56) |
| Depositing User: | Jim Groombridge |
| Date Deposited: | 03 Feb 2026 09:57 UTC |
| Last Modified: | 04 Feb 2026 12:49 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/112967 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0002-6941-8187
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