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Experimental Evolution as an Underutilized Tool for Studying Beneficial Animal–Microbe Interactions

Microorganisms play a significant role in the evolution and functioning of the eukaryotes with which they interact. Much of our understanding of beneficial host–microbe interactions stems from studying already established associations; we often infer the genotypic and environmental conditions that l...

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Detalles Bibliográficos
Autores principales: Hoang, Kim L., Morran, Levi T., Gerardo, Nicole M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020044/
https://www.ncbi.nlm.nih.gov/pubmed/27679620
http://dx.doi.org/10.3389/fmicb.2016.01444
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author Hoang, Kim L.
Morran, Levi T.
Gerardo, Nicole M.
author_facet Hoang, Kim L.
Morran, Levi T.
Gerardo, Nicole M.
author_sort Hoang, Kim L.
collection PubMed
description Microorganisms play a significant role in the evolution and functioning of the eukaryotes with which they interact. Much of our understanding of beneficial host–microbe interactions stems from studying already established associations; we often infer the genotypic and environmental conditions that led to the existing host–microbe relationships. However, several outstanding questions remain, including understanding how host and microbial (internal) traits, and ecological and evolutionary (external) processes, influence the origin of beneficial host–microbe associations. Experimental evolution has helped address a range of evolutionary and ecological questions across different model systems; however, it has been greatly underutilized as a tool to study beneficial host–microbe associations. In this review, we suggest ways in which experimental evolution can further our understanding of the proximate and ultimate mechanisms shaping mutualistic interactions between eukaryotic hosts and microbes. By tracking beneficial interactions under defined conditions or evolving novel associations among hosts and microbes with little prior evolutionary interaction, we can link specific genotypes to phenotypes that can be directly measured. Moreover, this approach will help address existing puzzles in beneficial symbiosis research: how symbioses evolve, how symbioses are maintained, and how both host and microbe influence their partner’s evolutionary trajectories. By bridging theoretical predictions and empirical tests, experimental evolution provides us with another approach to test hypotheses regarding the evolution of beneficial host–microbe associations.
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spelling pubmed-50200442016-09-27 Experimental Evolution as an Underutilized Tool for Studying Beneficial Animal–Microbe Interactions Hoang, Kim L. Morran, Levi T. Gerardo, Nicole M. Front Microbiol Microbiology Microorganisms play a significant role in the evolution and functioning of the eukaryotes with which they interact. Much of our understanding of beneficial host–microbe interactions stems from studying already established associations; we often infer the genotypic and environmental conditions that led to the existing host–microbe relationships. However, several outstanding questions remain, including understanding how host and microbial (internal) traits, and ecological and evolutionary (external) processes, influence the origin of beneficial host–microbe associations. Experimental evolution has helped address a range of evolutionary and ecological questions across different model systems; however, it has been greatly underutilized as a tool to study beneficial host–microbe associations. In this review, we suggest ways in which experimental evolution can further our understanding of the proximate and ultimate mechanisms shaping mutualistic interactions between eukaryotic hosts and microbes. By tracking beneficial interactions under defined conditions or evolving novel associations among hosts and microbes with little prior evolutionary interaction, we can link specific genotypes to phenotypes that can be directly measured. Moreover, this approach will help address existing puzzles in beneficial symbiosis research: how symbioses evolve, how symbioses are maintained, and how both host and microbe influence their partner’s evolutionary trajectories. By bridging theoretical predictions and empirical tests, experimental evolution provides us with another approach to test hypotheses regarding the evolution of beneficial host–microbe associations. Frontiers Media S.A. 2016-09-13 /pmc/articles/PMC5020044/ /pubmed/27679620 http://dx.doi.org/10.3389/fmicb.2016.01444 Text en Copyright © 2016 Hoang, Morran and Gerardo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Hoang, Kim L.
Morran, Levi T.
Gerardo, Nicole M.
Experimental Evolution as an Underutilized Tool for Studying Beneficial Animal–Microbe Interactions
title Experimental Evolution as an Underutilized Tool for Studying Beneficial Animal–Microbe Interactions
title_full Experimental Evolution as an Underutilized Tool for Studying Beneficial Animal–Microbe Interactions
title_fullStr Experimental Evolution as an Underutilized Tool for Studying Beneficial Animal–Microbe Interactions
title_full_unstemmed Experimental Evolution as an Underutilized Tool for Studying Beneficial Animal–Microbe Interactions
title_short Experimental Evolution as an Underutilized Tool for Studying Beneficial Animal–Microbe Interactions
title_sort experimental evolution as an underutilized tool for studying beneficial animal–microbe interactions
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020044/
https://www.ncbi.nlm.nih.gov/pubmed/27679620
http://dx.doi.org/10.3389/fmicb.2016.01444
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