Literature DB >> 32029592

Continual evolution through coupled fast and slow feedbacks.

Meike T Wortel1,2,3, Han Peters4, Juan A Bonachela5, Nils Chr Stenseth1.   

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.

Keywords:  Red Queen; ecoevolutionary dynamics; evolutionary modeling; fast–slow feedbacks

Mesh:

Year:  2020        PMID: 32029592      PMCID: PMC7049158          DOI: 10.1073/pnas.1916345117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  26 in total

1.  Evolutionary branching under asymmetric competition.

Authors:  E Kisdi
Journal:  J Theor Biol       Date:  1999-03-21       Impact factor: 2.691

2.  Rapid evolution drives ecological dynamics in a predator-prey system.

Authors:  Takehito Yoshida; Laura E Jones; Stephen P Ellner; Gregor F Fussmann; Nelson G Hairston
Journal:  Nature       Date:  2003-07-17       Impact factor: 49.962

3.  Asymmetric ecological conditions favor Red-Queen type of continued evolution over stasis.

Authors:  Jan Martin Nordbotten; Nils C Stenseth
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-01       Impact factor: 11.205

Review 4.  Red Queen: from populations to taxa and communities.

Authors:  Lee Hsiang Liow; Leigh Van Valen; Nils Chr Stenseth
Journal:  Trends Ecol Evol       Date:  2011-04-20       Impact factor: 17.712

Review 5.  The role of biotic forces in driving macroevolution: beyond the Red Queen.

Authors:  Kjetil L Voje; Øistein H Holen; Lee Hsiang Liow; Nils Chr Stenseth
Journal:  Proc Biol Sci       Date:  2015-06-07       Impact factor: 5.349

6.  Computational Complexity as an Ultimate Constraint on Evolution.

Authors:  Artem Kaznatcheev
Journal:  Genetics       Date:  2019-03-04       Impact factor: 4.562

7.  Evolutionary cycling in predator-prey interactions: population dynamics and the red queen.

Authors:  U Dieckmann; P Marrow; R Law
Journal:  J Theor Biol       Date:  1995-09-07       Impact factor: 2.691

8.  Eco-Evolutionary Dynamics of Ecological Stoichiometry in Plankton Communities.

Authors:  Pedro Branco; Martijn Egas; James J Elser; Jef Huisman
Journal:  Am Nat       Date:  2018-04-05       Impact factor: 3.926

9.  Evolution of evolvability in gene regulatory networks.

Authors:  Anton Crombach; Paulien Hogeweg
Journal:  PLoS Comput Biol       Date:  2008-07-11       Impact factor: 4.475

10.  Evolutionary pressures on microbial metabolic strategies in the chemostat.

Authors:  Meike T Wortel; Evert Bosdriesz; Bas Teusink; Frank J Bruggeman
Journal:  Sci Rep       Date:  2016-07-06       Impact factor: 4.379

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  1 in total

1.  Phenotypic-dependent variability and the emergence of tolerance in bacterial populations.

Authors:  José Camacho Mateu; Matteo Sireci; Miguel A Muñoz
Journal:  PLoS Comput Biol       Date:  2021-09-23       Impact factor: 4.475

  1 in total

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