2020
DOI: 10.1101/2020.09.21.306779
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Host evolutionary history and ecological context modulate the adaptive potential of the microbiome

Abstract: The microbiome may serve as a reservoir of adaptive potential if hosts can leverage microbial adaptations in stressful environments. However, the facilitation of rapid host adaptation may be limited by interactions between host genotype, microbiome, and environment (GH x GM x E). Here, to understand how host x microbiome x environment interactions shape adaptation, we leverage >150 generations of experimental evolution in Drosophila melanogaster in a stressful environment, high sugar (HS) diet. The microbio… Show more

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Cited by 3 publications
(3 citation statements)
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References 114 publications
(233 reference statements)
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“…Certain combinations of mutualists can also appear maladapted to their environment (Rúa et al, 2016). This could be due to coevolution between mutualists slowing the approach to a stable environmentally matched equilibrium (Thompson et al, 2002); however, our model suggests that this scenario could also be a stable reverse migration-selection balance equilibrium if GXE interactions are relatively weak and dispersal is low (e.g., as in the Drosophila melanagoster microbiome experiment, Henry et al, 2020). Finally, our model suggests that asymmetric rates of dispersal between partners increases the scope for local polymorphism in mutualisms.…”
Section: Implications For Empirical Studiesmentioning
confidence: 84%
See 1 more Smart Citation
“…Certain combinations of mutualists can also appear maladapted to their environment (Rúa et al, 2016). This could be due to coevolution between mutualists slowing the approach to a stable environmentally matched equilibrium (Thompson et al, 2002); however, our model suggests that this scenario could also be a stable reverse migration-selection balance equilibrium if GXE interactions are relatively weak and dispersal is low (e.g., as in the Drosophila melanagoster microbiome experiment, Henry et al, 2020). Finally, our model suggests that asymmetric rates of dispersal between partners increases the scope for local polymorphism in mutualisms.…”
Section: Implications For Empirical Studiesmentioning
confidence: 84%
“…Henry et al (2020) conducted a microbiome reciprocal transplant experiment that we use to parameterize our fitness payoffs. They experimentally evolved one population of Drosophila melanogaster together with its microbiome (composed of Acetobacter spp.)…”
mentioning
confidence: 99%
“…System complexity emerges from the linking and co-localization of biotic and shared abiotic niches in space and time. From the point of view of population genetics, this leads to a genotype × genotype × environment (G×G×E) interaction that can co-evolve (Thompson 2005(Thompson , 2009(Thompson , 2013(Thompson , 2014Morris 2018;Henry et al 2020).…”
Section: On the Evolution Of Symbiosismentioning
confidence: 99%