Effect of environmental variance-based resilience selection on the gut metabolome of rabbits.
Journal
Genetics, selection, evolution : GSE
ISSN: 1297-9686
Titre abrégé: Genet Sel Evol
Pays: France
ID NLM: 9114088
Informations de publication
Date de publication:
09 Mar 2023
09 Mar 2023
Historique:
received:
19
07
2022
accepted:
27
02
2023
entrez:
9
3
2023
pubmed:
10
3
2023
medline:
14
3
2023
Statut:
epublish
Résumé
Gut metabolites are key actors in host-microbiota crosstalk with effect on health. The study of the gut metabolome is an emerging topic in livestock, which can help understand its effect on key traits such as animal resilience and welfare. Animal resilience has now become a major trait of interest because of the high demand for more sustainable production. Composition of the gut microbiome can reveal mechanisms that underlie animal resilience because of its influence on host immunity. Environmental variance (V We identified 15 metabolites that discriminate rabbits from the divergent populations with a prediction performance of 99.2% and 90.4% for the resilient and non-resilient populations, respectively. These metabolites were suggested to be biomarkers of animal resilience as they were the most reliable. Among these, five that derived from the microbiota metabolism (3-(4-hydroxyphenyl)lactate, 5-aminovalerate, and equol, N6-acetyllysine, and serine), were suggested to be indicators of dissimilarities in the microbiome composition between the rabbit populations. The abundances of acylcarnitines and metabolites derived from the phenylalanine, tyrosine, and tryptophan metabolism were low in the resilient population and these pathways can, therefore impact the inflammatory response and health status of animals. This is the first study to identify gut metabolites that could act as potential resilience biomarkers. The results support differences in resilience between the two studied rabbit populations that were generated by selection for V
Sections du résumé
BACKGROUND
BACKGROUND
Gut metabolites are key actors in host-microbiota crosstalk with effect on health. The study of the gut metabolome is an emerging topic in livestock, which can help understand its effect on key traits such as animal resilience and welfare. Animal resilience has now become a major trait of interest because of the high demand for more sustainable production. Composition of the gut microbiome can reveal mechanisms that underlie animal resilience because of its influence on host immunity. Environmental variance (V
RESULTS
RESULTS
We identified 15 metabolites that discriminate rabbits from the divergent populations with a prediction performance of 99.2% and 90.4% for the resilient and non-resilient populations, respectively. These metabolites were suggested to be biomarkers of animal resilience as they were the most reliable. Among these, five that derived from the microbiota metabolism (3-(4-hydroxyphenyl)lactate, 5-aminovalerate, and equol, N6-acetyllysine, and serine), were suggested to be indicators of dissimilarities in the microbiome composition between the rabbit populations. The abundances of acylcarnitines and metabolites derived from the phenylalanine, tyrosine, and tryptophan metabolism were low in the resilient population and these pathways can, therefore impact the inflammatory response and health status of animals.
CONCLUSIONS
CONCLUSIONS
This is the first study to identify gut metabolites that could act as potential resilience biomarkers. The results support differences in resilience between the two studied rabbit populations that were generated by selection for V
Identifiants
pubmed: 36894894
doi: 10.1186/s12711-023-00791-5
pii: 10.1186/s12711-023-00791-5
pmc: PMC9996918
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
15Subventions
Organisme : Spanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER)
ID : AGL2014-5592
Organisme : Spanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER)
ID : C2-1-P
Organisme : Spanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER)
ID : C2-2-P
Organisme : Spanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER)
ID : AGL2017-86083
Organisme : Spanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER)
ID : C2-1-P
Organisme : Spanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER)
ID : C2-2-P
Organisme : Spanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER)
ID : PID2020-115558GB-C21
Organisme : Spanish Ministry of Science, Innovation and Universities
ID : FPU17/01196
Informations de copyright
© 2023. The Author(s).
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