Shafiey, H., Gossmann, T.I. and Waxman, D. (2017) Evolutionary control: Targeted change of allele frequencies in natural populations using externally directed evolution. Journal of Theoretical Biology, 419. pp. 362-374. ISSN 0022-5193
Abstract
© 2017 Elsevier LtdRandom processes in biology, in particular random genetic drift, often make it difficult to predict the fate of a particular mutation in a population. Using principles of theoretical population genetics, we present a form of biological control that ensures a focal allele's frequency, at a given locus, achieves a prescribed probability distribution at a given time. This control is in the form of an additional evolutionary force that acts on a population. We provide the mathematical framework that determines the additional force. Our analysis indicates that generally the additional force depends on the frequency of the focal allele, and it may also depend on the time. We argue that translating this additional force into an externally controlled process, which has the possibility of being implemented in a number of different ways corresponding to selection, migration, mutation, or a combination of these, may provide a flexible instrument for targeted change of traits of interest in natural populations. This framework may be applied, or used as an informed form of guidance, in a variety of different biological scenarios including: yield and pesticide optimisation in crop production, biofermentation, the local regulation of human-associated natural populations, such as parasitic animals, or bacterial communities in hospitals.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier. This is an author produced version of a paper subsequently published in Journal of Theoretical Biology. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Evolutionary theory; Random genetic drift; Markov chain; Diffusion approximation; Genetic control |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield) |
Funding Information: | Funder Grant number LEVERHULME TRUST (THE) ECF-2015-453 NATURAL ENVIRONMENT RESEARCH COUNCIL NE/N013832/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Mar 2017 16:34 |
Last Modified: | 25 Jan 2018 01:38 |
Published Version: | https://doi.org/10.1016/j.jtbi.2017.01.023 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.jtbi.2017.01.023 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113890 |