A Probabilistic Structural Equation Model to Evaluate Links between Gut Microbiota and Body Weights of Chicken Fed or Not Fed Insect Larvae

Feeding chicken with black soldier fly larvae (BSF) may influence their rates of growth via effects on the composition of their gut microbiota. To verify this hypothesis, we aim to evaluate a probabilistic structural equation model because it can unravel the complex web of relationships that exist b...

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Main Authors: Johann Detilleux, Nassim Moula, Edwin Dawans, Bernard Taminiau, Georges Daube, Pascal Leroy
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Biology
Subjects:
Online Access:https://www.mdpi.com/2079-7737/11/3/357
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author Johann Detilleux
Nassim Moula
Edwin Dawans
Bernard Taminiau
Georges Daube
Pascal Leroy
author_facet Johann Detilleux
Nassim Moula
Edwin Dawans
Bernard Taminiau
Georges Daube
Pascal Leroy
author_sort Johann Detilleux
collection DOAJ
description Feeding chicken with black soldier fly larvae (BSF) may influence their rates of growth via effects on the composition of their gut microbiota. To verify this hypothesis, we aim to evaluate a probabilistic structural equation model because it can unravel the complex web of relationships that exist between the bacteria involved in digestion and evaluate whether these influence bird growth. We followed 90 chickens fed diets supplemented with 0%, 5% or 10% BSF and measured the strength of the relationship between their weight and the relative abundance of bacteria (OTU) present in their cecum or cloaca at 16, 28, 39, 67 or 73 days of age, while adjusting for potential confounding effects of their age and sex. Results showed that OTUs (62 genera) could be combined into ten latent constructs with distinctive metabolic attributes. Links were discovered between these constructs that suggest nutritional relationships. Age directly influenced weights and microbiotal composition, and three constructs indirectly influenced weights via their dependencies on age. The proposed methodology was able to simplify dependencies among OTUs into knowledgeable constructs and to highlight links potentially important to understand the role of insect feed and of microbiota in chicken growth.
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spelling doaj.art-77f483e2f5124c0a891a0314c897e5d22023-11-24T00:30:45ZengMDPI AGBiology2079-77372022-02-0111335710.3390/biology11030357A Probabilistic Structural Equation Model to Evaluate Links between Gut Microbiota and Body Weights of Chicken Fed or Not Fed Insect LarvaeJohann Detilleux0Nassim Moula1Edwin Dawans2Bernard Taminiau3Georges Daube4Pascal Leroy5Fundamental and Applied Research for Animals, Veterinary Faculty, University of Liège, Quartier Vallée 2, Avenue de Cureghem 7A-7D, 4000 Liège, BelgiumFundamental and Applied Research for Animals, Veterinary Faculty, University of Liège, Quartier Vallée 2, Avenue de Cureghem 7A-7D, 4000 Liège, BelgiumFundamental and Applied Research for Animals, Veterinary Faculty, University of Liège, Quartier Vallée 2, Avenue de Cureghem 7A-7D, 4000 Liège, BelgiumFundamental and Applied Research for Animals, Veterinary Faculty, University of Liège, Quartier Vallée 2, Avenue de Cureghem 7A-7D, 4000 Liège, BelgiumFundamental and Applied Research for Animals, Veterinary Faculty, University of Liège, Quartier Vallée 2, Avenue de Cureghem 7A-7D, 4000 Liège, BelgiumFundamental and Applied Research for Animals, Veterinary Faculty, University of Liège, Quartier Vallée 2, Avenue de Cureghem 7A-7D, 4000 Liège, BelgiumFeeding chicken with black soldier fly larvae (BSF) may influence their rates of growth via effects on the composition of their gut microbiota. To verify this hypothesis, we aim to evaluate a probabilistic structural equation model because it can unravel the complex web of relationships that exist between the bacteria involved in digestion and evaluate whether these influence bird growth. We followed 90 chickens fed diets supplemented with 0%, 5% or 10% BSF and measured the strength of the relationship between their weight and the relative abundance of bacteria (OTU) present in their cecum or cloaca at 16, 28, 39, 67 or 73 days of age, while adjusting for potential confounding effects of their age and sex. Results showed that OTUs (62 genera) could be combined into ten latent constructs with distinctive metabolic attributes. Links were discovered between these constructs that suggest nutritional relationships. Age directly influenced weights and microbiotal composition, and three constructs indirectly influenced weights via their dependencies on age. The proposed methodology was able to simplify dependencies among OTUs into knowledgeable constructs and to highlight links potentially important to understand the role of insect feed and of microbiota in chicken growth.https://www.mdpi.com/2079-7737/11/3/357microbiota16S RNABayesian networkstructural equation modelchickeninsect in feed
spellingShingle Johann Detilleux
Nassim Moula
Edwin Dawans
Bernard Taminiau
Georges Daube
Pascal Leroy
A Probabilistic Structural Equation Model to Evaluate Links between Gut Microbiota and Body Weights of Chicken Fed or Not Fed Insect Larvae
Biology
microbiota
16S RNA
Bayesian network
structural equation model
chicken
insect in feed
title A Probabilistic Structural Equation Model to Evaluate Links between Gut Microbiota and Body Weights of Chicken Fed or Not Fed Insect Larvae
title_full A Probabilistic Structural Equation Model to Evaluate Links between Gut Microbiota and Body Weights of Chicken Fed or Not Fed Insect Larvae
title_fullStr A Probabilistic Structural Equation Model to Evaluate Links between Gut Microbiota and Body Weights of Chicken Fed or Not Fed Insect Larvae
title_full_unstemmed A Probabilistic Structural Equation Model to Evaluate Links between Gut Microbiota and Body Weights of Chicken Fed or Not Fed Insect Larvae
title_short A Probabilistic Structural Equation Model to Evaluate Links between Gut Microbiota and Body Weights of Chicken Fed or Not Fed Insect Larvae
title_sort probabilistic structural equation model to evaluate links between gut microbiota and body weights of chicken fed or not fed insect larvae
topic microbiota
16S RNA
Bayesian network
structural equation model
chicken
insect in feed
url https://www.mdpi.com/2079-7737/11/3/357
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