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Transplanted cells could theoretically influence host behavior by a variety of different mechanisms of lesser or greater specificity, including nonspecific effects of surgical damage, delivery of pharmacological or trophic molecules, glial support, stimulation of host plasticity, as well as specific neuronal and glial cell replacement, reformation of axonal connections, and circuit repair.
Critically, consideration of microbial endocrinology as a mechanism to account for the ability of the microbiota to influence host behavior raises an evolutionary question that is not usually asked in discussions of the gut-microbiota-brain axis.
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Over the years — and "thanks to some really terrific graduate students" — Kim has discovered molecular pathways governing how C. elegans recognizes and responds to its microbial environment, with a more recent emphasis on understanding how bacterial metabolites can influence host animal behavior.
It was also shown that mice free of specific pathogens display different behavior patterns than germ free mice [ 11] and that the transfer of intestinal microbiota may influence target host behavior [ 12].
Mammal-associated microbiomes have been shown to influence host health and behavior (Cryan and O'Mahony 2011; Kinross et al. 2011; Muegge et al. 2011) and appear to be hotbeds for lateral gene transfer (LGT) (Smillie et al. 2011; Meehan and Beiko 2012).
In this context, infectious agents such as parasites and pathogens can influence host anti-predatory behaviors with important consequences for predator-prey interactions.
Our study of the microbial communities associated with leaf-cutter ant colonies provides insight into how host behavior can potentially influence the composition of microbial assemblages, and further illustrates the important role of symbiotic associations in shaping the dynamics of these communities.
Emerging research on how parasites affect host behavior fuels speculation about their influence on human history.
They can markedly change the behavior of their hosts [ 7], influence host species' mating strategies and genetic variation [ 8, 9], and contribute to the decline of locally threatened populations [ 10, 11].
The adjustments we have shown here crudely illustrate the gravity model's potential to accommodate spatial heterogeneities and host behavior in stochastic metapopulations by identifying important geographic features, which can influence host mixing behavior and affect disease transmission [21].
The Wolbachia bacteria are widespread parasites of arthropods and nematodes and may influence their hosts mating behavior in a way that facilitates the reproduction of the parasite [ 16, 17].
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