Literature DB >> 16599908

An indirect approach to imply trade-off shapes: population level patterns in resistance suggest a decreasingly costly resistance mechanism in a model insect system.

M A Mealor1, M Boots.   

Abstract

Trade-offs between life history and other traits play a key role in shaping the evolution of individuals. It is well established theoretically that the shapes of trade-off curves are as crucial to the evolutionary outcome as their strengths. However, measuring the shape of these relationships directly is often impractical. Here we use an indirect approach that examines the patterns seen within a population and then use theory to infer the shape of the trade-off curve. Using a bioassay we found that most individuals had either high susceptibility or relatively high resistance to a microparasite in a lepidopteran host population. According to general theory, this type of pattern in resistance would be most likely with a deceleratingly costly impact on fitness of increasing resistance. The implications and generality of the approach are discussed, along with the implications of the results to our understanding of the nature of innate resistance to parasites.

Mesh:

Year:  2006        PMID: 16599908     DOI: 10.1111/j.1420-9101.2005.01031.x

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  7 in total

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Journal:  Proc Biol Sci       Date:  2010-03-17       Impact factor: 5.349

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Authors:  Sylvie Estrela; Ivana Gudelj
Journal:  PLoS One       Date:  2010-11-29       Impact factor: 3.240

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5.  Coevolutionary dynamics of host-pathogen interaction with density-dependent mortality.

Authors:  Yantao Yang; Chaojing Ma; Jian Zu
Journal:  J Math Biol       Date:  2022-07-25       Impact factor: 2.164

6.  Evolution and the microbial control of insects.

Authors:  Jenny S Cory; Michelle T Franklin
Journal:  Evol Appl       Date:  2012-05-31       Impact factor: 5.183

7.  A genotypic trade-off between constitutive resistance to viral infection and host growth rate.

Authors:  Lewis J Bartlett; Lena Wilfert; Michael Boots
Journal:  Evolution       Date:  2018-10-21       Impact factor: 3.694

  7 in total

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