Literature DB >> 28581175

PHYSIOLOGICAL AND BEHAVIORAL ADAPTATION TO VARYING ENVIRONMENTS: A MATHEMATICAL MODEL.

Carlos Castillo-Chavez1,2, Simon A Levin1,2,3, Fred Gould4.   

Abstract

We develop a mathematical model to explore the evolution of habitat selection and physiological adaptation in a heterogeneous environment. The model assumes the following conditions: 1) a panmictic population of infinite size; 2) prereproductive individuals mobile enough to move between patches; 3) alleles at one locus code for absence or presence of adaptation to detrimental patches; 4) alleles at a second locus code for absence or presence of behavior(s) that cause avoidance of the detrimental patches; 5) additive effects of alleles controlling physiology and behavior; 6) frequency-independent fitness. Results of the model indicate that nontrivial, polymorphic equilibria do not exist. The pattern of genotypic fitnesses and the initial allelic frequencies can influence whether the population adapts by physiological or behavioral mechanisms, or by both. Linkage between the two loci can alter the outcome of evolution, given specified genotypic fitness values and initial allelic frequencies. © 1988 The Society for the Study of Evolution.

Entities:  

Year:  1988        PMID: 28581175     DOI: 10.1111/j.1558-5646.1988.tb02517.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  5 in total

1.  Evolutionary adaptation to host plants in a laboratory population of the phytophagous mite Tetranychus urticae Koch.

Authors:  James D Fry
Journal:  Oecologia       Date:  1989-12       Impact factor: 3.225

2.  Evolutionary biology today and the call for an extended synthesis.

Authors:  Douglas J Futuyma
Journal:  Interface Focus       Date:  2017-08-18       Impact factor: 3.906

3.  Using evolution to generate sustainable malaria control with spatial repellents.

Authors:  Penelope Anne Lynch; Mike Boots
Journal:  Elife       Date:  2016-10-25       Impact factor: 8.140

4.  Host range evolution is not driven by the optimization of larval performance: the case of Lycaeides melissa (Lepidoptera: Lycaenidae) and the colonization of alfalfa.

Authors:  Matthew L Forister; Chris C Nice; James A Fordyce; Zachariah Gompert
Journal:  Oecologia       Date:  2009-03-07       Impact factor: 3.225

Review 5.  The importance of mosquito behavioural adaptations to malaria control in Africa.

Authors:  Michelle L Gatton; Nakul Chitnis; Thomas Churcher; Martin J Donnelly; Azra C Ghani; H Charles J Godfray; Fred Gould; Ian Hastings; John Marshall; Hilary Ranson; Mark Rowland; Jeff Shaman; Steve W Lindsay
Journal:  Evolution       Date:  2013-02-15       Impact factor: 3.694

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.