Abstract
The predictability of evolution is expected to depend on the relative contribution of deterministic and stochastic processes. This ratio is modulated by effective population size. Smaller effective populations harbor less genetic diversity and stochastic processes are generally expected to play a larger role, leading to less repeatable evolutionary trajectories. Empirical insight into the relationship between effective population size and repeatability is limited and focused mostly on asexual organisms. Here, we tested whether fitness evolution was less repeatable after a population bottleneck in obligately outcrossing populations of Caenorhabditis elegans. Replicated populations founded by 500, 50, or five individuals (no/moderate/strong bottleneck) were exposed to a novel environment with a different bacterial prey. As a proxy for fitness, population size was measured after one week of growth before and after 15 weeks of evolution. Surprisingly, we found no significant differences among treatments in their fitness evolution. Even though the strong bottleneck reduced the relative contribution of selection to fitness variation, this did not translate to a significant reduction in the repeatability of fitness evolution. Thus, although a bottleneck reduced the contribution of deterministic processes, we conclude that the predictability of evolution may not universally depend on effective population size, especially in sexual organisms.
Original language | English |
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Pages (from-to) | 1896-1904 |
Number of pages | 9 |
Journal | Evolution |
Volume | 76 |
Issue number | 8 |
Early online date | 6 Jul 2022 |
DOIs | |
Publication status | Published - Aug 2022 |
Bibliographical note
Funding Information:We would like to thank J. Teapal and the Utrecht University Large-Particle Flow Cytometry Facility (UU-LPC) for their help with the BioSorter, S. Wiezer from Aquatic Ecology at NIOO-KNAW for using the Petri plate filling machine, and S. van der Steen. We also acknowledge A. de Visser, The Predicting Evolution consortium (D. Bonte, M. Bosse, S. Declerck, M. de Vos, R. S. Etienne, S. Goossens, M. Groenen, P. Hogeweg, J. Kammenga, K. Kraaijeveld, M. Maan, F. Mortier, I. R. Pen, J. Riksen, I. Smallegange, M. van der Zee, S. van Doorn, K. Verhoeven, B. Wertheim, S. Wiezer, and L. E. Zandbergen), and the Origins Center for helpful discussions. This work was funded by The Dutch Research Council National Science Agenda (NWA-ORC 400.17.606/4175) and a Flemish Research Foundation fellowship awarded to KB (FWO-12T5622N).
Funding Information:
We would like to thank J. Teapal and the Utrecht University Large‐Particle Flow Cytometry Facility (UU‐LPC) for their help with the BioSorter, S. Wiezer from Aquatic Ecology at NIOO‐KNAW for using the Petri plate filling machine, and S. van der Steen. We also acknowledge A. de Visser, The Predicting Evolution consortium (D. Bonte, M. Bosse, S. Declerck, M. de Vos, R. S. Etienne, S. Goossens, M. Groenen, P. Hogeweg, J. Kammenga, K. Kraaijeveld, M. Maan, F. Mortier, I. R. Pen, J. Riksen, I. Smallegange, M. van der Zee, S. van Doorn, K. Verhoeven, B. Wertheim, S. Wiezer, and L. E. Zandbergen), and the Origins Center for helpful discussions. This work was funded by The Dutch Research Council National Science Agenda (NWA‐ORC 400.17.606/4175) and a Flemish Research Foundation fellowship awarded to KB (FWO‐12T5622N).
Publisher Copyright:
© 2022 The Authors. Evolution published by Wiley Periodicals LLC on behalf of The Society for the Study of Evolution.
Funding
We would like to thank J. Teapal and the Utrecht University Large-Particle Flow Cytometry Facility (UU-LPC) for their help with the BioSorter, S. Wiezer from Aquatic Ecology at NIOO-KNAW for using the Petri plate filling machine, and S. van der Steen. We also acknowledge A. de Visser, The Predicting Evolution consortium (D. Bonte, M. Bosse, S. Declerck, M. de Vos, R. S. Etienne, S. Goossens, M. Groenen, P. Hogeweg, J. Kammenga, K. Kraaijeveld, M. Maan, F. Mortier, I. R. Pen, J. Riksen, I. Smallegange, M. van der Zee, S. van Doorn, K. Verhoeven, B. Wertheim, S. Wiezer, and L. E. Zandbergen), and the Origins Center for helpful discussions. This work was funded by The Dutch Research Council National Science Agenda (NWA-ORC 400.17.606/4175) and a Flemish Research Foundation fellowship awarded to KB (FWO-12T5622N). We would like to thank J. Teapal and the Utrecht University Large‐Particle Flow Cytometry Facility (UU‐LPC) for their help with the BioSorter, S. Wiezer from Aquatic Ecology at NIOO‐KNAW for using the Petri plate filling machine, and S. van der Steen. We also acknowledge A. de Visser, The Predicting Evolution consortium (D. Bonte, M. Bosse, S. Declerck, M. de Vos, R. S. Etienne, S. Goossens, M. Groenen, P. Hogeweg, J. Kammenga, K. Kraaijeveld, M. Maan, F. Mortier, I. R. Pen, J. Riksen, I. Smallegange, M. van der Zee, S. van Doorn, K. Verhoeven, B. Wertheim, S. Wiezer, and L. E. Zandbergen), and the Origins Center for helpful discussions. This work was funded by The Dutch Research Council National Science Agenda (NWA‐ORC 400.17.606/4175) and a Flemish Research Foundation fellowship awarded to KB (FWO‐12T5622N).
Funders | Funder number |
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Dutch Research Council National Science Agenda | |
NWA-ORC | |
NWA‐ORC | 400.17.606/4175 |
Nederlands Instituut voor Ecologie | |
Universiteit Utrecht | |
Fonds Wetenschappelijk Onderzoek | FWO-12T5622N |
Fonds Wetenschappelijk Onderzoek |
Keywords
- Caenorhabditis elegans
- effective population size
- experimental evolution
- fitness evolution
- repeatability