Mutation load dynamics during environmentally-driven range shifts

Gilbert, Kimberly J.; Peischl, Stephan; Excoffier, Laurent (2018). Mutation load dynamics during environmentally-driven range shifts. PLoS genetics, 14(9), pp. 1-18. Public Library of Science 10.1371/journal.pgen.1007450

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The fitness of spatially expanding species has been shown to decrease over time and space, but specialist species tracking their changing environment and shifting their range accordingly have been little studied. We use individual-based simulations and analytical modeling to compare the impact of range expansions and range shifts on genetic diversity and fitness loss, as well as the ability to recover fitness after either a shift or expansion. We find that the speed of a shift has a strong impact on fitness evolution. Fastest shifts show the strongest fitness loss per generation, but intermediate shift speeds lead to the strongest fitness loss per geographic distance. Range shifting species lose fitness more slowly through time than expanding species, however, their fitness measured at equal geographic distances from the source of expansion can be considerably lower. These counter-intuitive results arise from the combination of time over which selection acts and mutations enter the system. Range shifts also exhibit reduced fitness recovery after a geographic shift and may result in extinction, whereas range expansions can persist from the core of the species range. The complexity of range expansions and range shifts highlights the potential for severe consequences of environmental change on species survival.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE)
08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE) > Population Genetics
08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology > Bioinformatics
08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology > Computational Biology
08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology

UniBE Contributor:

Gilbert, Kimberly Julie, Peischl, Stephan, Excoffier, Laurent

Subjects:

500 Science > 570 Life sciences; biology

ISSN:

1553-7390

Publisher:

Public Library of Science

Language:

English

Submitter:

Susanne Holenstein

Date Deposited:

08 Nov 2018 09:35

Last Modified:

24 Apr 2024 10:36

Publisher DOI:

10.1371/journal.pgen.1007450

PubMed ID:

30265675

BORIS DOI:

10.7892/boris.120992

URI:

https://boris.unibe.ch/id/eprint/120992

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