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Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models

BACKGROUND: The effect of the cecal microbiome on growth of rabbits that were fed under different regimes has been studied previously. However, the term “effect” carries a causal meaning that can be confounded because of potential genetic associations between the microbiome and production traits. St...

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Autores principales: Mora, Mónica, Velasco-Galilea, María, Sánchez, Juan Pablo, Ramayo-Caldas, Yuliaxis, Piles, Miriam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762025/
https://www.ncbi.nlm.nih.gov/pubmed/36536288
http://dx.doi.org/10.1186/s12711-022-00770-2
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author Mora, Mónica
Velasco-Galilea, María
Sánchez, Juan Pablo
Ramayo-Caldas, Yuliaxis
Piles, Miriam
author_facet Mora, Mónica
Velasco-Galilea, María
Sánchez, Juan Pablo
Ramayo-Caldas, Yuliaxis
Piles, Miriam
author_sort Mora, Mónica
collection PubMed
description BACKGROUND: The effect of the cecal microbiome on growth of rabbits that were fed under different regimes has been studied previously. However, the term “effect” carries a causal meaning that can be confounded because of potential genetic associations between the microbiome and production traits. Structural equation models (SEM) can help disentangle such a complex interplay by decomposing the effect on a production trait into direct host genetics effects and indirect host genetic effects that are exerted through microbiota effects. These indirect effects can be estimated via structural coefficients that measure the effect of the microbiota on growth while the effects of the host genetics are kept constant. In this study, we applied the SEM approach to infer causal relationships between the cecal microbiota and growth of rabbits fed under ad libitum (ADG(AL)) or restricted feeding (ADG(R)). RESULTS: We identified structural coefficients that are statistically different from 0 for 138 of the 946 operational taxonomic units (OTU) analyzed. However, only 15 and 38 of these 138 OTU had an effect greater than 0.2 phenotypic standard deviations (SD) on ADG(AL) and ADG(R), respectively. Many of these OTU had a negative effect on both traits. The largest effects on ADG(R) were exerted by an OTU that is taxonomically assigned to the Desulfovibrio genus (− 1.929 g/d, CSS-normalized OTU units) and by an OTU that belongs to the Ruminococcaceae family (1.859 g/d, CSS-normalized OTU units). For ADG(AL), the largest effect was from OTU that belong to the S24-7 family (− 1.907 g/d, CSS-normalized OTU units). In general, OTU that had a substantial effect had low to moderate estimates of heritability. CONCLUSIONS: Disentangling how direct and indirect effects act on production traits is relevant to fully describe the processes of mediation but also to understand how these traits change before considering the application of an external intervention aimed at changing a given microbial composition by blocking/promoting the presence of a particular microorganism. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12711-022-00770-2.
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spelling pubmed-97620252022-12-20 Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models Mora, Mónica Velasco-Galilea, María Sánchez, Juan Pablo Ramayo-Caldas, Yuliaxis Piles, Miriam Genet Sel Evol Research Article BACKGROUND: The effect of the cecal microbiome on growth of rabbits that were fed under different regimes has been studied previously. However, the term “effect” carries a causal meaning that can be confounded because of potential genetic associations between the microbiome and production traits. Structural equation models (SEM) can help disentangle such a complex interplay by decomposing the effect on a production trait into direct host genetics effects and indirect host genetic effects that are exerted through microbiota effects. These indirect effects can be estimated via structural coefficients that measure the effect of the microbiota on growth while the effects of the host genetics are kept constant. In this study, we applied the SEM approach to infer causal relationships between the cecal microbiota and growth of rabbits fed under ad libitum (ADG(AL)) or restricted feeding (ADG(R)). RESULTS: We identified structural coefficients that are statistically different from 0 for 138 of the 946 operational taxonomic units (OTU) analyzed. However, only 15 and 38 of these 138 OTU had an effect greater than 0.2 phenotypic standard deviations (SD) on ADG(AL) and ADG(R), respectively. Many of these OTU had a negative effect on both traits. The largest effects on ADG(R) were exerted by an OTU that is taxonomically assigned to the Desulfovibrio genus (− 1.929 g/d, CSS-normalized OTU units) and by an OTU that belongs to the Ruminococcaceae family (1.859 g/d, CSS-normalized OTU units). For ADG(AL), the largest effect was from OTU that belong to the S24-7 family (− 1.907 g/d, CSS-normalized OTU units). In general, OTU that had a substantial effect had low to moderate estimates of heritability. CONCLUSIONS: Disentangling how direct and indirect effects act on production traits is relevant to fully describe the processes of mediation but also to understand how these traits change before considering the application of an external intervention aimed at changing a given microbial composition by blocking/promoting the presence of a particular microorganism. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12711-022-00770-2. BioMed Central 2022-12-19 /pmc/articles/PMC9762025/ /pubmed/36536288 http://dx.doi.org/10.1186/s12711-022-00770-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Mora, Mónica
Velasco-Galilea, María
Sánchez, Juan Pablo
Ramayo-Caldas, Yuliaxis
Piles, Miriam
Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models
title Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models
title_full Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models
title_fullStr Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models
title_full_unstemmed Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models
title_short Disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models
title_sort disentangling the causal relationship between rabbit growth and cecal microbiota through structural equation models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762025/
https://www.ncbi.nlm.nih.gov/pubmed/36536288
http://dx.doi.org/10.1186/s12711-022-00770-2
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