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A computational framework for resolving the microbiome diversity conundrum
Recent empirical studies offer conflicting findings regarding the relation between host fitness and the composition of its microbiome, a conflict which we term ‘the microbial β- diversity conundrum’. The microbiome is crucial for host wellbeing and survival. Surprisingly, different healthy individua...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693575/ https://www.ncbi.nlm.nih.gov/pubmed/38042865 http://dx.doi.org/10.1038/s41467-023-42768-4 |
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author | Daybog, Itay Kolodny, Oren |
author_facet | Daybog, Itay Kolodny, Oren |
author_sort | Daybog, Itay |
collection | PubMed |
description | Recent empirical studies offer conflicting findings regarding the relation between host fitness and the composition of its microbiome, a conflict which we term ‘the microbial β- diversity conundrum’. The microbiome is crucial for host wellbeing and survival. Surprisingly, different healthy individuals’ microbiome compositions, even in the same population, often differ dramatically, contrary to the notion that a vital trait should be highly conserved. Moreover, gnotobiotic individuals exhibit highly deleterious phenotypes, supporting the view that the microbiome is paramount to host fitness. However, the introduction of almost arbitrarily selected microbiota into the system often achieves a significant rescue effect of the deleterious phenotypes. This is true even for microbiota from soil or phylogenetically distant host species, highlighting an apparent paradox. We suggest several solutions to the paradox using a computational framework, simulating the population dynamics of hosts and their microbiomes over multiple generations. The answers invoke factors such as host population size, the specific mode of microbial contribution to host fitness, and typical microbiome richness, offering solutions to the conundrum by highlighting scenarios where even when a host’s fitness is determined in full by its microbiome composition, this composition has little effect on the natural selection dynamics of the population. |
format | Online Article Text |
id | pubmed-10693575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106935752023-12-04 A computational framework for resolving the microbiome diversity conundrum Daybog, Itay Kolodny, Oren Nat Commun Article Recent empirical studies offer conflicting findings regarding the relation between host fitness and the composition of its microbiome, a conflict which we term ‘the microbial β- diversity conundrum’. The microbiome is crucial for host wellbeing and survival. Surprisingly, different healthy individuals’ microbiome compositions, even in the same population, often differ dramatically, contrary to the notion that a vital trait should be highly conserved. Moreover, gnotobiotic individuals exhibit highly deleterious phenotypes, supporting the view that the microbiome is paramount to host fitness. However, the introduction of almost arbitrarily selected microbiota into the system often achieves a significant rescue effect of the deleterious phenotypes. This is true even for microbiota from soil or phylogenetically distant host species, highlighting an apparent paradox. We suggest several solutions to the paradox using a computational framework, simulating the population dynamics of hosts and their microbiomes over multiple generations. The answers invoke factors such as host population size, the specific mode of microbial contribution to host fitness, and typical microbiome richness, offering solutions to the conundrum by highlighting scenarios where even when a host’s fitness is determined in full by its microbiome composition, this composition has little effect on the natural selection dynamics of the population. Nature Publishing Group UK 2023-12-02 /pmc/articles/PMC10693575/ /pubmed/38042865 http://dx.doi.org/10.1038/s41467-023-42768-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Daybog, Itay Kolodny, Oren A computational framework for resolving the microbiome diversity conundrum |
title | A computational framework for resolving the microbiome diversity conundrum |
title_full | A computational framework for resolving the microbiome diversity conundrum |
title_fullStr | A computational framework for resolving the microbiome diversity conundrum |
title_full_unstemmed | A computational framework for resolving the microbiome diversity conundrum |
title_short | A computational framework for resolving the microbiome diversity conundrum |
title_sort | computational framework for resolving the microbiome diversity conundrum |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693575/ https://www.ncbi.nlm.nih.gov/pubmed/38042865 http://dx.doi.org/10.1038/s41467-023-42768-4 |
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