Genetic variation in parasite avoidance, yet no evidence for constitutive fitness costs

Author:

Amoroso Caroline R1ORCID,Shepard Leila L1,Gibson Amanda K1

Affiliation:

1. Department of Biology, University of Virginia , Charlottesville, VA , United States

Abstract

Abstract Behavioral avoidance of parasites is a widespread strategy among animal hosts and in human public health. Avoidance has repercussions for both individual and population-level infection risk. Although most cases of parasite avoidance are viewed as adaptive, there is little evidence that the basic assumptions of evolution by natural selection are met. This study addresses this gap by testing whether there is a heritable variation in parasite avoidance behavior. We quantified behavioral avoidance of the bacterial parasite Serratia marcescens for 12 strains of the nematode host Caenorhabditis elegans. We found that these strains varied in their magnitude of avoidance, and we estimated the broad-sense heritability of this behavior to be in the range of 11%–26%. We then asked whether avoidance carries a constitutive fitness cost. We did not find evidence of one. Rather, strains with higher avoidance had higher fitness, measured as population growth rate. Together, these results direct future theoretical and empirical work to identify the forces maintaining genetic variation in parasite avoidance.

Funder

NIH MIRA Award

NIH NRSA Postdoctoral Fellowship

Publisher

Oxford University Press (OUP)

Reference64 articles.

1. Evolution of behavioural resistance in host–pathogen systems;Amoroso,2020

2. The cost of resistance and the maintenance of genetic polymorphism in host-pathogen systems;Antonovics;Proceedings of the Royal Society B: Biological Sciences,1994

3. Evolutionary determinants of genetic variation in susceptibility to infectious diseases in humans;Baker,2012

4. A genotypic trade-off between constitutive resistance to viral infection and host growth rate;Bartlett,2018

5. Fitting linear mixed-effects models using lme4;Bates;Journal of Statistical Software,2015

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