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Continual evolution through coupled fast and slow feedbacks
- Source :
- Proceedings of the National Academy of Sciences of the United States of America, 117(8), 4234-4242. National Academy of Sciences, Proc Natl Acad Sci U S A
- Publication Year :
- 2020
-
Abstract
- Continual evolution describes the unceasing evolution of at least one trait involving at least one organism. The Red Queen Hypothesis is a specific case in which continual evolution results from coevolution of at least two species. While microevolutionary studies have described examples in which evolution does not cease, understanding which general conditions lead to continual evolution or to stasis remains a major challenge. In many cases, it is unclear which experimental features or model assumptions are necessary for the observed continual evolution to emerge, and whether the described behavior is robust to variations in the given setup. Here, we aim to find the minimal set of conditions under which continual evolution occurs. To this end, we present a theoretical framework that does not assume any specific functional form and, therefore, can be applied to a wide variety of systems. Our framework is also general enough to make predictions about both monomorphic and polymorphic populations. We show that the combination of a fast positive and a slow negative feedback between environment, population, and evolving traits causes continual evolution to emerge even from the evolution of a single evolving trait, provided that the ecological timescale is sufficiently faster than the timescales of mutation and the negative feedback. Our approach and results thus contribute to a deeper understanding of the evolutionary dynamics resulting from biotic interactions.
- Subjects :
- 0106 biological sciences
0303 health sciences
education.field_of_study
Multidisciplinary
Models, Genetic
Computer science
Population
Biological Sciences
010603 evolutionary biology
01 natural sciences
Biological Evolution
03 medical and health sciences
Red Queen hypothesis
Evolutionary biology
Negative feedback
Mutation (genetic algorithm)
Mutation
Trait
Set (psychology)
education
Evolutionary dynamics
Coevolution
Ecosystem
030304 developmental biology
Subjects
Details
- Language :
- English
- ISSN :
- 00278424
- Database :
- OpenAIRE
- Journal :
- Proceedings of the National Academy of Sciences of the United States of America, 117(8), 4234-4242. National Academy of Sciences, Proc Natl Acad Sci U S A
- Accession number :
- edsair.doi.dedup.....22cb49e9274a28916e8fc080875abda9