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Drosophila melanogaster as a High-Throughput Model for Host–Microbiota Interactions
Microbiota research often assumes that differences in abundance and identity of microorganisms have unique influences on host physiology. To test this concept mechanistically, germ-free mice are colonized with microbial communities to assess causation. Due to the cost, infrastructure challenges, and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408076/ https://www.ncbi.nlm.nih.gov/pubmed/28503170 http://dx.doi.org/10.3389/fmicb.2017.00751 |
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author | Trinder, Mark Daisley, Brendan A. Dube, Josh S. Reid, Gregor |
author_facet | Trinder, Mark Daisley, Brendan A. Dube, Josh S. Reid, Gregor |
author_sort | Trinder, Mark |
collection | PubMed |
description | Microbiota research often assumes that differences in abundance and identity of microorganisms have unique influences on host physiology. To test this concept mechanistically, germ-free mice are colonized with microbial communities to assess causation. Due to the cost, infrastructure challenges, and time-consuming nature of germ-free mouse models, an alternative approach is needed to investigate host–microbial interactions. Drosophila melanogaster (fruit flies) can be used as a high throughput in vivo screening model of host–microbiome interactions as they are affordable, convenient, and replicable. D. melanogaster were essential in discovering components of the innate immune response to pathogens. However, axenic D. melanogaster can easily be generated for microbiome studies without the need for ethical considerations. The simplified microbiota structure enables researchers to evaluate permutations of how each microbial species within the microbiota contribute to host phenotypes of interest. This enables the possibility of thorough strain-level analysis of host and microbial properties relevant to physiological outcomes. Moreover, a wide range of mutant D. melanogaster strains can be affordably obtained from public stock centers. Given this, D. melanogaster can be used to identify candidate mechanisms of host–microbe symbioses relevant to pathogen exclusion, innate immunity modulation, diet, xenobiotics, and probiotic/prebiotic properties in a high throughput manner. This perspective comments on the most promising areas of microbiota research that could immediately benefit from using the D. melanogaster model. |
format | Online Article Text |
id | pubmed-5408076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54080762017-05-12 Drosophila melanogaster as a High-Throughput Model for Host–Microbiota Interactions Trinder, Mark Daisley, Brendan A. Dube, Josh S. Reid, Gregor Front Microbiol Microbiology Microbiota research often assumes that differences in abundance and identity of microorganisms have unique influences on host physiology. To test this concept mechanistically, germ-free mice are colonized with microbial communities to assess causation. Due to the cost, infrastructure challenges, and time-consuming nature of germ-free mouse models, an alternative approach is needed to investigate host–microbial interactions. Drosophila melanogaster (fruit flies) can be used as a high throughput in vivo screening model of host–microbiome interactions as they are affordable, convenient, and replicable. D. melanogaster were essential in discovering components of the innate immune response to pathogens. However, axenic D. melanogaster can easily be generated for microbiome studies without the need for ethical considerations. The simplified microbiota structure enables researchers to evaluate permutations of how each microbial species within the microbiota contribute to host phenotypes of interest. This enables the possibility of thorough strain-level analysis of host and microbial properties relevant to physiological outcomes. Moreover, a wide range of mutant D. melanogaster strains can be affordably obtained from public stock centers. Given this, D. melanogaster can be used to identify candidate mechanisms of host–microbe symbioses relevant to pathogen exclusion, innate immunity modulation, diet, xenobiotics, and probiotic/prebiotic properties in a high throughput manner. This perspective comments on the most promising areas of microbiota research that could immediately benefit from using the D. melanogaster model. Frontiers Media S.A. 2017-04-28 /pmc/articles/PMC5408076/ /pubmed/28503170 http://dx.doi.org/10.3389/fmicb.2017.00751 Text en Copyright © 2017 Trinder, Daisley, Dube and Reid. 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 Trinder, Mark Daisley, Brendan A. Dube, Josh S. Reid, Gregor Drosophila melanogaster as a High-Throughput Model for Host–Microbiota Interactions |
title | Drosophila melanogaster as a High-Throughput Model for Host–Microbiota Interactions |
title_full | Drosophila melanogaster as a High-Throughput Model for Host–Microbiota Interactions |
title_fullStr | Drosophila melanogaster as a High-Throughput Model for Host–Microbiota Interactions |
title_full_unstemmed | Drosophila melanogaster as a High-Throughput Model for Host–Microbiota Interactions |
title_short | Drosophila melanogaster as a High-Throughput Model for Host–Microbiota Interactions |
title_sort | drosophila melanogaster as a high-throughput model for host–microbiota interactions |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408076/ https://www.ncbi.nlm.nih.gov/pubmed/28503170 http://dx.doi.org/10.3389/fmicb.2017.00751 |
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