Literature DB >> 22873438

A simple fitness proxy for structured populations with continuous traits, with case studies on the evolution of haplo-diploids and genetic dimorphisms.

J A J Metz1, O Leimar.   

Abstract

For structured populations in equilibrium with everybody born equal, ln(R (0)) is a useful fitness proxy for evolutionarily steady strategy (ESS) and most adaptive dynamics calculations, with R (0) the average lifetime number of offspring in the clonal and haploid cases, and half the average lifetime number of offspring fathered or mothered for Mendelian diploids. When individuals have variable birth states, as is, for example, the case in spatial models, R (0) is itself an eigenvalue, which usually cannot be expressed explicitly in the trait vectors under consideration. In that case, Q(Y| X):=-det (I-L(Y| X)) can often be used as fitness proxy, with L the next-generation matrix for a potential mutant characterized by the trait vector Y in the (constant) environment engendered by a resident characterized by X. If the trait space is connected, global uninvadability can be determined from it. Moreover, it can be used in all the usual local calculations like the determination of evolutionarily singular trait vectors and their local invadability and attractivity. We conclude with three extended case studies demonstrating the usefulness of Q: the calculation of ESSs under haplo-diploid genetics (I), of evolutionarily steady genetic dimorphisms (ESDs) with a priori proportionality of macro- and micro-gametic outputs (an assumption that is generally made but the fulfilment of which is a priori highly exceptional) (II), and of ESDs without such proportionality (III). These case studies should also have some interest in their own right for the spelled out calculation recipes and their underlying modelling methodology.

Mesh:

Year:  2011        PMID: 22873438     DOI: 10.1080/17513758.2010.502256

Source DB:  PubMed          Journal:  J Biol Dyn        ISSN: 1751-3758            Impact factor:   2.179


  6 in total

1.  What life cycle graphs can tell about the evolution of life histories.

Authors:  Claus Rueffler; Johan A J Metz; Tom J M Van Dooren
Journal:  J Math Biol       Date:  2012-02-05       Impact factor: 2.259

2.  Evolutionary branching of a magic trait.

Authors:  Eva Kisdi; Tadeas Priklopil
Journal:  J Math Biol       Date:  2010-11-13       Impact factor: 2.259

3.  Necessary and sufficient conditions for R₀ to be a sum of contributions of fertility loops.

Authors:  Claus Rueffler; Johan A J Metz
Journal:  J Math Biol       Date:  2012-09-18       Impact factor: 2.259

4.  On the concept of individual in ecology and evolution.

Authors:  J A J Metz
Journal:  J Math Biol       Date:  2012-10-30       Impact factor: 2.259

5.  The canonical equation of adaptive dynamics for Mendelian diploids and haplo-diploids.

Authors:  Johan A J Metz; Carolien G F de Kovel
Journal:  Interface Focus       Date:  2013-12-06       Impact factor: 3.906

6.  The canonical equation of adaptive dynamics for life histories: from fitness-returns to selection gradients and Pontryagin's maximum principle.

Authors:  Johan A Jacob Metz; Kateřina Staňková; Jacob Johansson
Journal:  J Math Biol       Date:  2015-11-19       Impact factor: 2.259

  6 in total

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