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Population demographic history and evolutionary rescue: Influence of a bottleneck event

Authors :
Laure Olazcuaga
Beatrice Lincke
Sarah DeLacey
Lily F. Durkee
Brett A. Melbourne
Ruth A. Hufbauer
Source :
Evolutionary Applications, Vol 16, Iss 8, Pp 1483-1495 (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract Rapid environmental change presents a significant challenge to the persistence of natural populations. Rapid adaptation that increases population growth, enabling populations that declined following severe environmental change to grow and avoid extinction, is called evolutionary rescue. Numerous studies have shown that evolutionary rescue can indeed prevent extinction. Here, we extend those results by considering the demographic history of populations. To evaluate how demographic history influences evolutionary rescue, we created 80 populations of red flour beetle, Tribolium castaneum, with three classes of demographic history: diverse populations that did not experience a bottleneck, and populations that experienced either an intermediate or a strong bottleneck. We subjected these populations to a new and challenging environment for six discrete generations and tracked extinction and population size. Populations that did not experience a bottleneck in their demographic history avoided extinction entirely, while more than 20% of populations that experienced an intermediate or strong bottleneck went extinct. Similarly, among the extant populations at the end of the experiment, adaptation increased the growth rate in the novel environment the most for populations that had not experienced a bottleneck in their history. Taken together, these results highlight the importance of considering the demographic history of populations to make useful and effective conservation decisions and management strategies for populations experiencing environmental change that pushes them toward extinction.

Details

Language :
English
ISSN :
17524571
Volume :
16
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Evolutionary Applications
Publication Type :
Academic Journal
Accession number :
edsdoj.49d4c24d4dd45869a4b6de9704f05c7
Document Type :
article
Full Text :
https://doi.org/10.1111/eva.13581