Combined transcriptomics and metabolomics in the whole blood to depict feed efficiency in pigs

Autor: Juigné, Camille, Becker, Emmanuelle, Gondret, Florence
Přispěvatelé: Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Dynamics, Logics and Inference for biological Systems and Sequences (Dyliss), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Région Bretagne, Métaprogramme DigitBio de l'INRAE.
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: European Federation of Animal Science (EAAP), World Association for Animal production (WAAP) and Interbull Joint International Congress (EAAP 2023)
European Federation of Animal Science (EAAP), World Association for Animal production (WAAP) and Interbull Joint International Congress (EAAP 2023), Aug 2023, Lyon, France. pp.1-17
Popis: Les informations bibliographiques du livre des résumés sont à venir après la fin du congrès.; International audience; Feed efficiency is a research priority to support a sustainable meat production, but it is also recognized as a complex trait that integrates multiple biological pathways orchestrated in and by various tissues. This study aims to determine the relationships between biological entities underlying the interindividual variation of feed efficiency in growing pigs. The feed conversion ratio (FCR) was calculated from a total of 47 Large White pigs from a divergent selection for residual feed intake and fed high starch or high-fat high fiber diets during 58 days. We considered transcriptomics (60 k porcine microarray) and metabolomics (1H-NMR analysis and target gas chromatography) datasets obtained in the whole blood of pigs at the end of the trial. We studied whether connecting these two levels of biological organization will help for a better understanding of the key biological processes driving the phenotypic difference in feed efficiency. We identified 33 weighted gene co-expression networks (WGCNA) in the whole blood (13 to 2,491 unique genes). The eigengenes of six modules were correlated to FCR (P < 0.05). Most of these modules were enriched in genes participating in immune and defense-related processes. Profiles in circulating metabolites and fatty acids were summarized by weighed linear combinations from principal component analyses, and correlated to the eigengenes of the co-expressed genes modules. A significant association was found between a module of coexpressed genes participating to T cell receptor signaling and cell development process and related to FCR, and the circulating concentrations of omega-3 fatty acids. Finally, we provided a new method to integrate those experimental data and the public knowledge from metabolic pathway networks databases, to show where and how these molecules at different levels of biological organization participate and interact with each other. Databases of biological pathways in BioPAX format, represented by graphs, were queried to identify participants of interest in interactions. Altogether, these different approaches will help to depict biological systems and understand complex traits such as feed efficiency.
Databáze: OpenAIRE
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