Literature DB >> 20565235

Rapid exploiter-victim coevolution: the race is not always to the swift.

Vincent Calcagno1, Marion Dubosclard, Claire de Mazancourt.   

Abstract

The modeling of coevolutionary races has traditionally been dominated by methods invoking a timescale separation between ecological and evolutionary dynamics, the latter assumed to be much slower than the former. Yet it is becoming increasingly clear that in many cases the two processes occur on similar timescales and that such "rapid" evolution can have profound implications for the dynamics of communities and ecosystems. After briefly reviewing the timescale separations most common in coevolution theory, we use a general model of exploiter-victim coevolution to confront predictions from slow-evolution analysis with Monte Carlo simulations. We show how rapid evolution radically alters the dynamics and outcome of coevolutionary arms races. In particular, a fast-evolving exploiter can enable victim diversification and thereby lose a race it is expected to win. We explain simulation results, using mathematical analysis with relaxed timescale separations. Unusual mutation parameters are not required, since rapid evolution naturally emerges from slow competitive exclusion. Our results point to interesting consequences of exploiter rapid evolution and experimentally testable patterns, while indicating that more attention should be paid to rapid evolution in evolutionary theory.

Mesh:

Year:  2010        PMID: 20565235     DOI: 10.1086/653665

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  7 in total

1.  Evolutionary responses to environmental change: trophic interactions affect adaptation and persistence.

Authors:  Jarad P Mellard; Claire de Mazancourt; Michel Loreau
Journal:  Proc Biol Sci       Date:  2015-04-22       Impact factor: 5.349

2.  Antagonistic coevolution between quantitative and Mendelian traits.

Authors:  Masato Yamamichi; Stephen P Ellner
Journal:  Proc Biol Sci       Date:  2016-03-30       Impact factor: 5.349

3.  Approaches to Macroevolution: 2. Sorting of Variation, Some Overarching Issues, and General Conclusions.

Authors:  David Jablonski
Journal:  Evol Biol       Date:  2017-10-24       Impact factor: 3.119

4.  Species-specific genes under selection characterize the co-evolution of slavemaker and host lifestyles.

Authors:  B Feldmeyer; D Elsner; A Alleman; S Foitzik
Journal:  BMC Evol Biol       Date:  2017-12-04       Impact factor: 3.260

5.  Diversity spurs diversification in ecological communities.

Authors:  Vincent Calcagno; Philippe Jarne; Michel Loreau; Nicolas Mouquet; Patrice David
Journal:  Nat Commun       Date:  2017-06-09       Impact factor: 14.919

6.  Phage-induced diversification improves host evolvability.

Authors:  Hywel T P Williams
Journal:  BMC Evol Biol       Date:  2013-01-22       Impact factor: 3.260

7.  Rapid evolution of cooperation in group-living animals.

Authors:  Mathias Franz; Oliver Schülke; Julia Ostner
Journal:  BMC Evol Biol       Date:  2013-10-29       Impact factor: 3.260

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.