Casto-Rebollo, C.; Argente, MJ.; García, ML.; Blasco Mateu, A.; Ibáñez-Escriche, N. (2023). Effect of environmental variance-based resilience selection on the gut metabolome of rabbits. Genetics Selection Evolution. 55(1). https://doi.org/10.1186/s12711-023-00791-5
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/212780
Título:
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Effect of environmental variance-based resilience selection on the gut metabolome of rabbits
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Autor:
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Casto-Rebollo, Cristina
Argente, María José
García, María Luz
Blasco Mateu, Agustín
Ibáñez-Escriche, Noelia
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Entidad UPV:
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Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural
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Fecha difusión:
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Resumen:
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[EN] BackgroundGut 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 ...[+]
[EN] BackgroundGut 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-E), specifically the residual variance, is one measure of resilience. The aim of this study was to identify gut metabolites that underlie differences in the resilience potential of animals originating from a divergent selection for V-E of litter size (LS). We performed an untargeted gut metabolome analysis in two divergent rabbit populations for low (n = 13) and high (n = 13) V-E of LS. Partial least square-discriminant analysis was undertaken, and Bayesian statistics were computed to determine dissimilarities in the gut metabolites between these two rabbit populations.ResultsWe 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.ConclusionsThis 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-E of LS. Furthermore, selection for V-E of LS modified the gut metabolome, which could be another factor that modulates animal resilience. Further studies are needed to determine the causal role of these metabolites in health and disease.
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Palabras clave:
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Gut metabolites
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Host-microbiota crosstalk
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Gut metabolome
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Livestock
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Animal resilience
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Derechos de uso:
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Reconocimiento (by)
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Fuente:
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Genetics Selection Evolution. (issn:
0999-193X
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DOI:
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10.1186/s12711-023-00791-5
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Editorial:
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Springer (Biomed Central Ltd.)
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Versión del editor:
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https://doi.org/10.1186/s12711-023-00791-5
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Código del Proyecto:
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-86083-C2-1-P/ES/ESTUDIO MULTIOMICO SOBRE SENSIBILIDAD AMBIENTAL, LONGEVIDAD Y DEPOSICION GRASA EN LINEAS SELECCIONADAS DE CONEJO/
...[+]
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-86083-C2-1-P/ES/ESTUDIO MULTIOMICO SOBRE SENSIBILIDAD AMBIENTAL, LONGEVIDAD Y DEPOSICION GRASA EN LINEAS SELECCIONADAS DE CONEJO/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-86083-C2-2-P/ES/ESTUDIO MULTIOMICO DE LA MICROBIOTA DIGESTIVA Y SU RELACION CON LA SENSIBILIDAD AL AMBIENTE EN LINEAS DE CONEJO SELECCIONADAS POR VARIABILIDAD AMBIENTAL/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115558GB-C21/ES/CREACION DE DOS LINEAS SELECCIONADAS POR EFICIENCIA ALIMENTARIA Y POR RESILIENCIA/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123702OB-I00/ES/IDENTIFICACION DE MARCADORES DE RESILIENCIA EN CONEJO PARA LA CREACION DE UNA LINEA PRODUCTIVA/
info:eu-repo/grantAgreement/MINECO//AGL2014-55921-C2-1-P/ES/ESTUDIO GENOMICO Y METABOLOMICO DE VARIAS LINEAS DE SELECCION DIVERGENTE EN CONEJO: EL CONEJO COMO MODELO EXPERIMENTAL/
info:eu-repo/grantAgreement/MINECO//AGL2014-55921-C2-2-P/ES/ANALISIS GENOMICO DE LA VARIANZA RESIDUAL DEL TAMAÑO DE CAMADA Y SU RELACION CON EL BIENESTAR ANIMAL/
info:eu-repo/grantAgreement/MECD//FPU17%2F01196/ES/AYUDA CONTRATO PREDOCTORAL FPU-CASTO REBOLLO/
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Agradecimientos:
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Cristina Casto-Rebollo acknowledges a FPU17/01196 scholarship from the Spanish Ministry of Science, Innovation and Universities. This study was supported by Projects AGL2014-5592, C2-1-P and C2-2-P, AGL2017-86083, C2-1-P ...[+]
Cristina Casto-Rebollo acknowledges a FPU17/01196 scholarship from the Spanish Ministry of Science, Innovation and Universities. This study was supported by Projects AGL2014-5592, C2-1-P and C2-2-P, AGL2017-86083, C2-1-P and C2-2-P, PID2021-123702OB-I00, and PID2020-115558GB-C21, funded by the Spanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER).
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Tipo:
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Artículo
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