Evolution · 2015 · 68 citations · 39 references
Life SciencesBiologyEvolutionary BiologyHost-pathogen InteractionsParasite EcologyParasitologyCoevolution With ParasitesHost-parasite AssociationsHost-parasite CoevolutionHost-parasite InteractionsParasite CoevolutionParasite TransmissionAnimal Host-parasite CoevolutionBehavioral Manipulation Of HostsExperimental Natural SelectionExperimental StudiesHost Manipulation By ParasitoidsMulti-host Parasite DynamicsNatural Selection SignaturesParasite Fitness Trade-offs
Host manipulation is a common parasite strategy to alter host behavior in a manner to enhance parasite fitness usually by increasing the parasite's transmission to the next host. In nature, hosts often harbor multiple parasites with agreeing or conflicting interests over host manipulation. Natural selection might drive such parasites to cooperation, compromise, or sabotage. Sabotage would occur if one parasite suppresses the manipulation of another. Experimental studies on the effect of multi-parasite interactions on host manipulation are scarce, clear experimental evidence for sabotage is elusive. We tested the effect of multiple infections on host manipulation using laboratory-bred copepods experimentally infected with the trophically transmitted tapeworm Schistocephalus solidus. This parasite is known to manipulate its host depending on its own developmental stage. Coinfecting parasites with the same aim enhance each other's manipulation but only after reaching infectivity. If the coinfecting parasites disagree over host manipulation, the infective parasite wins this conflict: the noninfective one has no effect. The winning (i.e., infective) parasite suppresses the manipulation of its noninfective competitor. This presents conclusive experimental evidence for both cooperation in and sabotage of host manipulation and hence a proof of principal that one parasite can alter and even neutralize manipulation by another.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 85.6K citations · Full text
Linear Mixed-Effects Models using 'Eigen' and S4
Douglas M. Bates, Martin Maechler, Benjamin M. Bolker et al. · 2015 · 6K citations
Parasites and the Behavior of Animals
Michael V. K. Sukhdeo, Janice Moore · Journal of Parasitology · 2002 · 735 citations · Full text
Life Sciences, Biology, Zoology +5