Correlated Responses to Selection for Intramuscular Fat on the Gut Microbiome in Rabbits.

correlated responses genetic selection gut microbiome intramuscular fat

Journal

Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614

Informations de publication

Date de publication:
16 Jul 2024
Historique:
received: 02 05 2024
revised: 11 07 2024
accepted: 12 07 2024
medline: 27 7 2024
pubmed: 27 7 2024
entrez: 27 7 2024
Statut: epublish

Résumé

Intramuscular fat (IMF) content is important for meat production and human health, where the host genetics and its microbiome greatly contribute to its variation. The aim of this study is to describe the consequences of the genetic modification of IMF by selecting the taxonomic composition of the microbiome, using rabbits from the 10th generation of a divergent selection experiment for IMF (high (H) and low (L) lines differ by 3.8 standard deviations). The selection altered the composition of the gut microbiota. Correlated responses were better distinguished at the genus level (51 genera) than at the phylum level (10 phyla). The H-line was enriched in

Identifiants

pubmed: 39061540
pii: ani14142078
doi: 10.3390/ani14142078
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Spanish Ministry of Science and Innovation
ID : PID2020-115558GB-C21
Organisme : Conselleria for Innovation, Universities, Science and Digital Society
ID : AICO/2020/349
Organisme : Conselleria for Innovation, Universities, Science and Digital Society
ID : CIAICO/2022/016
Organisme : Spanish Ministry of Science and Innovation
ID : RYC2021-032618-I

Auteurs

Marina Martínez-Álvaro (M)

Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain.

Agostina Zubiri-Gaitán (A)

Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain.

Pilar Hernández (P)

Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain.

Cristina Casto-Rebollo (C)

Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain.

Noelia Ibáñez-Escriche (N)

Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain.

Maria Antonia Santacreu (MA)

Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain.

Alejandro Artacho (A)

Area of Genomics and Health, Foundation for the Promotion of Sanitary and Biomedical Research of Valencia Region (FISABIO-Public Health), 46022 Valencia, Spain.

Vicente Pérez-Brocal (V)

Area of Genomics and Health, Foundation for the Promotion of Sanitary and Biomedical Research of Valencia Region (FISABIO-Public Health), 46022 Valencia, Spain.
Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.

Agustín Blasco (A)

Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain.

Classifications MeSH