Literature DB >> 12622330

Costs of resistance in insect-parasite and insect-parasitoid interactions.

A R Kraaijeveld1, J Ferrari, H C J Godfray.   

Abstract

Most, if not all, organisms face attack by natural enemies and will be selected to evolve some form of defence. Resistance may have costs as well as its obvious benefits. These costs may be associated with actual defence or with the maintenance of the defensive machinery irrespective of whether a challenge occurs. In this paper, the evidence for costs of resistance in insect-parasite and insect-parasitoid systems is reviewed, with emphasis on two host-parasitoid systems, based on Drosophila melanogaster and pea aphids as hosts. Data from true insect-parasite systems mainly concern the costs of actual defence; evidence for the costs of standing defences is mostly circumstantial. In pea aphids, the costs of standing defences have so far proved elusive. Resistance amongst clones is not correlated with life-time fecundity, whether measured on good or poor quality plants. Successful defence by a D. melanogaster larva results in a reduction in adult size and fecundity and an increased susceptibility to pupal parasitoids. Costs of standing defences are a reduction in larval competitive ability though these costs only become important when food is limited. It is concluded that costs of resistance can play a pivotal role in the evolutionary and population dynamic interactions between hosts and their parasites.

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Year:  2002        PMID: 12622330     DOI: 10.1017/s0031182002001750

Source DB:  PubMed          Journal:  Parasitology        ISSN: 0031-1820            Impact factor:   3.234


  30 in total

Review 1.  Trade-offs between competition and defense specialists among unicellular planktonic organisms: the "killing the winner" hypothesis revisited.

Authors:  Christian Winter; Thierry Bouvier; Markus G Weinbauer; T Frede Thingstad
Journal:  Microbiol Mol Biol Rev       Date:  2010-03       Impact factor: 11.056

2.  Genomic changes under rapid evolution: selection for parasitoid resistance.

Authors:  Kirsten M Jalvingh; Peter L Chang; Sergey V Nuzhdin; Bregje Wertheim
Journal:  Proc Biol Sci       Date:  2014-02-05       Impact factor: 5.349

3.  Coevolution can reverse predator-prey cycles.

Authors:  Michael H Cortez; Joshua S Weitz
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-05       Impact factor: 11.205

Review 4.  Evolution of animal immunity in the light of beneficial symbioses.

Authors:  Nicole M Gerardo; Kim L Hoang; Kayla S Stoy
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-08-10       Impact factor: 6.237

5.  Resistance is costly: trade-offs between immunity, fecundity and survival in the pea aphid.

Authors:  D M Gwynn; A Callaghan; J Gorham; K F A Walters; M D E Fellowes
Journal:  Proc Biol Sci       Date:  2005-09-07       Impact factor: 5.349

6.  Genetic covariation between effectiveness and cost of defence in aphids.

Authors:  Christoph Vorburger; Alexandre Gouskov; Simone von Burg
Journal:  Biol Lett       Date:  2008-12-23       Impact factor: 3.703

7.  Genetic variation and covariation of susceptibility to parasitoids in the aphid Myzus persicae: no evidence for trade-offs.

Authors:  Simone von Burg; Julia Ferrari; Christine B Müller; Christoph Vorburger
Journal:  Proc Biol Sci       Date:  2008-05-07       Impact factor: 5.349

8.  The unavoidable costs and unexpected benefits of parasitism: population and metapopulation models of parasite-mediated competition.

Authors:  Chih-Horng Kuo; Vanessa Corby-Harris; Daniel E L Promislow
Journal:  J Theor Biol       Date:  2007-10-09       Impact factor: 2.691

9.  Genetic variation in Drosophila melanogaster pathogen susceptibility.

Authors:  M C Tinsley; S Blanford; F M Jiggins
Journal:  Parasitology       Date:  2006-02-24       Impact factor: 3.234

10.  Host ecology shapes geographical variation for resistance to bacterial infection in Drosophila melanogaster.

Authors:  Vanessa Corby-Harris; Daniel E L Promislow
Journal:  J Anim Ecol       Date:  2008-05-16       Impact factor: 5.091

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