Environmental pleiotropy and demographic history direct adaptation under antibiotic selection
Gifford, Danna R., Krašovec, Rok, Aston, Elizabeth, Belavkin, Roman V. 
ORCID: https://orcid.org/0000-0002-2356-1447, Channon, Alastair and Knight, Christopher G.
(2018)
Environmental pleiotropy and demographic history direct adaptation under antibiotic selection.
Heredity, 121
(5)
.
pp. 438-448.
ISSN 0018-067X
[Article]
(doi:10.1038/s41437-018-0137-3)
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Abstract
Evolutionary rescue following environmental change requires mutations permitting population growth in the new environment. If change is severe enough to prevent most of the population reproducing, rescue becomes reliant on mutations already present. If change is sustained, the fitness effects in both environments, and how they are associated—termed ‘environmental pleiotropy’—may determine which alleles are ultimately favoured. A population’s demographic history—its size over time—influences the variation present. Although demographic history is known to affect the probability of evolutionary rescue, how it interacts with environmental pleiotropy during severe and sustained environmental change remains unexplored. Here, we demonstrate how these factors interact during antibiotic resistance evolution, a key example of evolutionary rescue fuelled by pre-existing mutations with pleiotropic fitness effects. We combine published data with novel simulations to characterise environmental pleiotropy and its effects on resistance evolution under different demographic histories. Comparisons among resistance alleles typically revealed no correlation for fitness—i.e., neutral pleiotropy—above and below the sensitive strain’s minimum inhibitory concentration. Resistance allele frequency following experimental evolution showed opposing correlations with their fitness effects in the presence and absence of antibiotic. Simulations demonstrated that effects of environmental pleiotropy on allele frequencies depended on demographic history. At the population level, the major influence of environmental pleiotropy was on mean fitness, rather than the probability of evolutionary rescue or diversity. Our work suggests that determining both environmental pleiotropy and demographic history is critical for predicting resistance evolution, and we discuss the practicalities of this during in vivo evolution.
| Item Type: | Article |
|---|---|
| Research Areas: | A. > School of Science and Technology > Computer Science > Artificial Intelligence group |
| Item ID: | 25183 |
| Notes on copyright: | © The Author(s) 2018. This article is published with open access
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
| Useful Links: | |
| Depositing User: | Roman Belavkin |
| Date Deposited: | 21 Sep 2018 10:40 |
| Last Modified: | 29 Nov 2022 19:39 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/25183 |
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