Literature DB >> 24334746

Evolutionary rescue in structured populations.

Hildegard Uecker1, Sarah P Otto, Joachim Hermisson.   

Abstract

Environmental change, if severe, can drive a population extinct unless the population succeeds in adapting to the new conditions. How likely is a population to win the race between population decline and adaptive evolution? Assuming that environmental degradation progresses across a habitat, we analyze the impact of several ecological factors on the probability of evolutionary rescue. Specifically, we study the influence of population structure and density-dependent competition as well as the speed and severity of environmental change. We also determine the relative contribution of standing genetic variation and new mutations to evolutionary rescue. To describe population structure, we use a generalized island model, where islands are affected by environmental deterioration one after the other. Our analysis is based on the mathematical theory of time-inhomogeneous branching processes and complemented by computer simulations. We find that in the interplay of various, partially antagonistic effects, the probability of evolutionary rescue can show nontrivial and unexpected dependence on ecological characteristics. In particular, we generally observe a nonmonotonic dependence on the migration rate between islands. Counterintuitively, under some circumstances, evolutionary rescue can occur more readily in the face of harsher environmental shifts, because of the reduced competition experienced by mutant individuals. Similarly, rescue sometimes occurs more readily when the entire habitat degrades rapidly, rather than progressively over time, particularly when migration is high and competition strong.

Mesh:

Year:  2013        PMID: 24334746     DOI: 10.1086/673914

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  29 in total

1.  Imperfect drug penetration leads to spatial monotherapy and rapid evolution of multidrug resistance.

Authors:  Stefany Moreno-Gamez; Alison L Hill; Daniel I S Rosenbloom; Dmitri A Petrov; Martin A Nowak; Pleuni S Pennings
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-18       Impact factor: 11.205

2.  Establishment of Locally Adapted Mutations Under Divergent Selection.

Authors:  Matteo Tomasini; Stephan Peischl
Journal:  Genetics       Date:  2018-05-17       Impact factor: 4.562

3.  Genetic Paths to Evolutionary Rescue and the Distribution of Fitness Effects Along Them.

Authors:  Matthew M Osmond; Sarah P Otto; Guillaume Martin
Journal:  Genetics       Date:  2019-12-10       Impact factor: 4.562

4.  Evolutionary Rescue and Drug Resistance on Multicopy Plasmids.

Authors:  Mario Santer; Hildegard Uecker
Journal:  Genetics       Date:  2020-05-27       Impact factor: 4.562

5.  Surviving environmental change: when increasing population size can increase extinction risk.

Authors:  Mark M Tanaka; Lindi M Wahl
Journal:  Proc Biol Sci       Date:  2022-06-01       Impact factor: 5.530

6.  Evolutionary Rescue over a Fitness Landscape.

Authors:  Yoann Anciaux; Luis-Miguel Chevin; Ophélie Ronce; Guillaume Martin
Journal:  Genetics       Date:  2018-03-13       Impact factor: 4.562

7.  Limits to adaptation along environmental gradients.

Authors:  Jitka Polechová; Nicholas H Barton
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-04       Impact factor: 11.205

8.  Catch Me if You Can: Adaptation from Standing Genetic Variation to a Moving Phenotypic Optimum.

Authors:  Sebastian Matuszewski; Joachim Hermisson; Michael Kopp
Journal:  Genetics       Date:  2015-06-01       Impact factor: 4.562

Review 9.  Evolutionary rescue: linking theory for conservation and medicine.

Authors:  Helen K Alexander; Guillaume Martin; Oliver Y Martin; Sebastian Bonhoeffer
Journal:  Evol Appl       Date:  2014-10-15       Impact factor: 5.183

10.  The Role of Recombination in Evolutionary Rescue.

Authors:  Hildegard Uecker; Joachim Hermisson
Journal:  Genetics       Date:  2015-12-01       Impact factor: 4.562

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