Nosil, P. orcid.org/0000-0002-8271-9005, Villoutreix, R. orcid.org/0000-0002-1815-3844, de Carvalho, C.F. orcid.org/0000-0002-5780-5454 et al. (5 more authors) (2018) Natural selection and the predictability of evolution in Timemastick insects. Science, 359 (6377). pp. 765-770.
Abstract
Predicting evolution remains difficult. We studied the evolution of cryptic body coloration and pattern in a stick insect using 25 years of field data, experiments, and genomics. We found that evolution is more difficult to predict when it involves a balance between multiple selective factors and uncertainty in environmental conditions than when it involves feedback loops that cause consistent back-and-forth fluctuations. Specifically, changes in color-morph frequencies are modestly predictable through time (r2= 0.14) and driven by complex selective regimes and yearly fluctuations in climate. In contrast, temporal changes in pattern-morph frequencies are highly predictable due to negative frequency-dependent selection (r2= 0.86). For both traits, however, natural selection drives evolution around a dynamic equilibrium, providing some predictability to the process.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 American Association for the Advancement of Science. This is an author produced version of a paper subsequently published in Science. Uploaded in accordance with the publisher's self-archiving policy. |
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-2016-367 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Feb 2018 12:36 |
Last Modified: | 20 Feb 2018 12:37 |
Published Version: | https://doi.org/10.1126/science.aap9125 |
Status: | Published |
Publisher: | American Association for the Advancement of Science |
Refereed: | Yes |
Identification Number: | 10.1126/science.aap9125 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:127707 |