Disentangling the genetic consequences of demographic change
- PMID: 36440474
- DOI: 10.1111/mec.16798
Disentangling the genetic consequences of demographic change
Abstract
Quantifying the impact of human activity on the capacity of populations to persist is paramount to conservation biology, as numerous species and populations have already been driven to or beyond the brink of extinction. Those populations that persist are often a sobering example of the evolutionary power of human-disturbance, such as the loss of tusks in African elephants resulting from ivory harvesting (Campbell-Staton et al., 2021) and rapid life-history evolution in northern Atlantic cod in response to fisheries (Olsen et al., 2004). These evolutionary responses reflect a delicate interplay between demographic and selective processes (e.g., evolutionary rescue: Bell & Gonzalez, 2009; Gomulkiewicz & Holt, 1995), both of which can modify genetic variation for fitness. While quantifying fitness remains a difficult challenge, generalizable insights into the evolutionary consequences of population collapse can be provided in systems with independent demographic shifts in response to human activity. Unfortunately, such was the case for sea otter populations across its range in the 18th and 19th centuries, where the fur-trade had catastrophic, range-wide effects on sea otter (Enhydra lutris) populations. In a From the Cover article in this issue of Molecular Ecology, Beichman et al. (2022) combine a population genomic spatiotemporal data set and theoretical simulations not only to quantify past demographic change in response to sea otter exploitation, but also to understand the consequences of population collapse on species persistence.
© 2022 John Wiley & Sons Ltd.
Comment on
-
Genomic analyses reveal range-wide devastation of sea otter populations.Mol Ecol. 2023 Jan;32(2):281-298. doi: 10.1111/mec.16334. Epub 2022 Jan 17. Mol Ecol. 2023. PMID: 34967471 Free PMC article.
References
REFERENCES
-
- Agrawal, A. F., & Whitlock, M. C. (2011). Inferences about the distribution of dominance drawn from yeast gene knockout data. Genetics, 187(2), 553-566.
-
- Beichman, A. C., Huerta-Sanchez, E., & Lohmueller, K. E. (2018). Using genomic data to infer historic population dynamics of nonmodel organisms. Annual Review of Ecology, Evolution, and Systematics, 49(1), 433-456.
-
- Beichman, A. C., Kalhori, P., Kyriazis, C. C., DeVries, A. A., Nigenda-Morales, S., Heckel, G., Schramm, Y., Moreno-Estrada, A., Kennett, D. J., Hylkema, M., Bodkin, J., Koepfli, K.-P., Lohmueller, K. E., & Wayne, R. K. (2022). Genomic analyses reveal range-wide devastation of sea otter populations. Molecular Ecology, 32, 281-298.
-
- Bell, G., & Gonzalez, A. (2009). Evolutionary rescue can prevent extinction following environmental change. Ecology Letters, 12(9), 942-948.
-
- Campbell-Staton, S. C., Arnold, B. J., Gonçalves, D., Granli, P., Poole, J., Long, R. A., & Pringle, R. M. (2021). Ivory poaching and the rapid evolution of tusklessness in African elephants. Science, 374(6566), 483-487.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous
