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Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs
A large number of studies have highlighted the importance of gut microbiome composition in shaping fat deposition in mammals. Several studies have also highlighted how host genome controls the abundance of certain species that make up the gut microbiota. We propose a systematic approach to infer how...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809165/ https://www.ncbi.nlm.nih.gov/pubmed/33510859 http://dx.doi.org/10.1016/j.csbj.2020.12.038 |
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author | Tiezzi, Francesco Fix, Justin Schwab, Clint Shull, Caleb Maltecca, Christian |
author_facet | Tiezzi, Francesco Fix, Justin Schwab, Clint Shull, Caleb Maltecca, Christian |
author_sort | Tiezzi, Francesco |
collection | PubMed |
description | A large number of studies have highlighted the importance of gut microbiome composition in shaping fat deposition in mammals. Several studies have also highlighted how host genome controls the abundance of certain species that make up the gut microbiota. We propose a systematic approach to infer how the host genome can control the gut microbiome, which in turn contributes to the host phenotype determination. We implemented a mediation test that can be applied to measured and latent dependent variables to describe fat deposition in swine (Sus scrofa). In this study, we identify several host genomic features having a microbiome-mediated effects on fat deposition. This demonstrates how the host genome can affect the phenotypic trait by inducing a change in gut microbiome composition that leads to a change in the phenotype. Host genomic variants identified through our analysis are different than the ones detected in a traditional genome-wide association study. In addition, the use of latent dependent variables allows for the discovery of additional host genomic features that do not show a significant effect on the measured variables. Microbiome-mediated host genomic effects can help understand the genetic determination of fat deposition. Since their contribution to the overall genetic variance is usually not included in association studies, they can contribute to filling the missing heritability gap and provide further insights into the host genome – gut microbiome interplay. Further studies should focus on the portability of these effects to other populations as well as their preservation when pro-/pre-/anti-biotics are used (i.e. remediation). |
format | Online Article Text |
id | pubmed-7809165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-78091652021-01-27 Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs Tiezzi, Francesco Fix, Justin Schwab, Clint Shull, Caleb Maltecca, Christian Comput Struct Biotechnol J Research Article A large number of studies have highlighted the importance of gut microbiome composition in shaping fat deposition in mammals. Several studies have also highlighted how host genome controls the abundance of certain species that make up the gut microbiota. We propose a systematic approach to infer how the host genome can control the gut microbiome, which in turn contributes to the host phenotype determination. We implemented a mediation test that can be applied to measured and latent dependent variables to describe fat deposition in swine (Sus scrofa). In this study, we identify several host genomic features having a microbiome-mediated effects on fat deposition. This demonstrates how the host genome can affect the phenotypic trait by inducing a change in gut microbiome composition that leads to a change in the phenotype. Host genomic variants identified through our analysis are different than the ones detected in a traditional genome-wide association study. In addition, the use of latent dependent variables allows for the discovery of additional host genomic features that do not show a significant effect on the measured variables. Microbiome-mediated host genomic effects can help understand the genetic determination of fat deposition. Since their contribution to the overall genetic variance is usually not included in association studies, they can contribute to filling the missing heritability gap and provide further insights into the host genome – gut microbiome interplay. Further studies should focus on the portability of these effects to other populations as well as their preservation when pro-/pre-/anti-biotics are used (i.e. remediation). Research Network of Computational and Structural Biotechnology 2020-12-30 /pmc/articles/PMC7809165/ /pubmed/33510859 http://dx.doi.org/10.1016/j.csbj.2020.12.038 Text en © 2021 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Tiezzi, Francesco Fix, Justin Schwab, Clint Shull, Caleb Maltecca, Christian Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs |
title | Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs |
title_full | Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs |
title_fullStr | Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs |
title_full_unstemmed | Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs |
title_short | Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs |
title_sort | gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809165/ https://www.ncbi.nlm.nih.gov/pubmed/33510859 http://dx.doi.org/10.1016/j.csbj.2020.12.038 |
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