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Microbiome interactions shape host fitness
Gut bacteria can affect key aspects of host fitness, such as development, fecundity, and lifespan, while the host, in turn, shapes the gut microbiome. However, it is unclear to what extent individual species versus community interactions within the microbiome are linked to host fitness. Here, we com...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304949/ https://www.ncbi.nlm.nih.gov/pubmed/30510004 http://dx.doi.org/10.1073/pnas.1809349115 |
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author | Gould, Alison L. Zhang, Vivian Lamberti, Lisa Jones, Eric W. Obadia, Benjamin Korasidis, Nikolaos Gavryushkin, Alex Carlson, Jean M. Beerenwinkel, Niko Ludington, William B. |
author_facet | Gould, Alison L. Zhang, Vivian Lamberti, Lisa Jones, Eric W. Obadia, Benjamin Korasidis, Nikolaos Gavryushkin, Alex Carlson, Jean M. Beerenwinkel, Niko Ludington, William B. |
author_sort | Gould, Alison L. |
collection | PubMed |
description | Gut bacteria can affect key aspects of host fitness, such as development, fecundity, and lifespan, while the host, in turn, shapes the gut microbiome. However, it is unclear to what extent individual species versus community interactions within the microbiome are linked to host fitness. Here, we combinatorially dissect the natural microbiome of Drosophila melanogaster and reveal that interactions between bacteria shape host fitness through life history tradeoffs. Empirically, we made germ-free flies colonized with each possible combination of the five core species of fly gut bacteria. We measured the resulting bacterial community abundances and fly fitness traits, including development, reproduction, and lifespan. The fly gut promoted bacterial diversity, which, in turn, accelerated development, reproduction, and aging: Flies that reproduced more died sooner. From these measurements, we calculated the impact of bacterial interactions on fly fitness by adapting the mathematics of genetic epistasis to the microbiome. Development and fecundity converged with higher diversity, suggesting minimal dependence on interactions. However, host lifespan and microbiome abundances were highly dependent on interactions between bacterial species. Higher-order interactions (involving three, four, and five species) occurred in 13–44% of possible cases depending on the trait, with the same interactions affecting multiple traits, a reflection of the life history tradeoff. Overall, we found these interactions were frequently context-dependent and often had the same magnitude as individual species themselves, indicating that the interactions can be as important as the individual species in gut microbiomes. |
format | Online Article Text |
id | pubmed-6304949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-63049492018-12-28 Microbiome interactions shape host fitness Gould, Alison L. Zhang, Vivian Lamberti, Lisa Jones, Eric W. Obadia, Benjamin Korasidis, Nikolaos Gavryushkin, Alex Carlson, Jean M. Beerenwinkel, Niko Ludington, William B. Proc Natl Acad Sci U S A PNAS Plus Gut bacteria can affect key aspects of host fitness, such as development, fecundity, and lifespan, while the host, in turn, shapes the gut microbiome. However, it is unclear to what extent individual species versus community interactions within the microbiome are linked to host fitness. Here, we combinatorially dissect the natural microbiome of Drosophila melanogaster and reveal that interactions between bacteria shape host fitness through life history tradeoffs. Empirically, we made germ-free flies colonized with each possible combination of the five core species of fly gut bacteria. We measured the resulting bacterial community abundances and fly fitness traits, including development, reproduction, and lifespan. The fly gut promoted bacterial diversity, which, in turn, accelerated development, reproduction, and aging: Flies that reproduced more died sooner. From these measurements, we calculated the impact of bacterial interactions on fly fitness by adapting the mathematics of genetic epistasis to the microbiome. Development and fecundity converged with higher diversity, suggesting minimal dependence on interactions. However, host lifespan and microbiome abundances were highly dependent on interactions between bacterial species. Higher-order interactions (involving three, four, and five species) occurred in 13–44% of possible cases depending on the trait, with the same interactions affecting multiple traits, a reflection of the life history tradeoff. Overall, we found these interactions were frequently context-dependent and often had the same magnitude as individual species themselves, indicating that the interactions can be as important as the individual species in gut microbiomes. National Academy of Sciences 2018-12-18 2018-12-03 /pmc/articles/PMC6304949/ /pubmed/30510004 http://dx.doi.org/10.1073/pnas.1809349115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | PNAS Plus Gould, Alison L. Zhang, Vivian Lamberti, Lisa Jones, Eric W. Obadia, Benjamin Korasidis, Nikolaos Gavryushkin, Alex Carlson, Jean M. Beerenwinkel, Niko Ludington, William B. Microbiome interactions shape host fitness |
title | Microbiome interactions shape host fitness |
title_full | Microbiome interactions shape host fitness |
title_fullStr | Microbiome interactions shape host fitness |
title_full_unstemmed | Microbiome interactions shape host fitness |
title_short | Microbiome interactions shape host fitness |
title_sort | microbiome interactions shape host fitness |
topic | PNAS Plus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304949/ https://www.ncbi.nlm.nih.gov/pubmed/30510004 http://dx.doi.org/10.1073/pnas.1809349115 |
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