MiRNome variations in milk fractions during feed restrictions of different intensities in dairy cows.


Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
13 Nov 2023
Historique:
received: 14 06 2023
accepted: 26 10 2023
medline: 15 11 2023
pubmed: 14 11 2023
entrez: 14 11 2023
Statut: epublish

Résumé

In dairy cows, diet is one factor that can affect their milk production and composition. However, the effect of feed restriction on milk miRNome has not yet been described. Indeed, milk is the body fluid with the highest RNA concentration, which includes numerous microRNA. Its presence in the four different milk fractions, whole milk, fat globules, mammary epithelial cells and extracellular vesicles, is still poorly documented. This study aimed to describe the effects of different feed restrictions on the miRNome composition of different milk fractions. Two feed restrictions were applied to lactating dairy cows, one of high intensity and one of moderate intensity. 2,896 mature microRNA were identified in the different milk fractions studied, including 1,493 that were already known in the bovine species. Among the 1,096 microRNA that were sufficiently abundant to be informative, the abundance of 1,027 of them varied between fractions: 36 of those were exclusive to one milk fraction. Feed restriction affected the abundance of 155 microRNA, with whole milk and milk extracellular vesicles being the most affected, whereas milk fat globules and exfoliated mammary epithelial cells were little or not affected at all. The high intensity feed restriction led to more microRNA variations in milk than moderate restriction. The target prediction of known microRNA that varied under feed restriction suggested the modification of some key pathways for lactation related to milk fat and protein metabolisms, cell cycle, and stress responses. This study highlighted that the miRNome of each milk fraction is specific, with mostly the same microRNA composition but with variations in abundance between fractions. These specific miRNomes were affected differently by feed restrictions, the intensity of which appeared to be a major factor modulating milk miRNomes. These findings offer opportunities for future research on the use of milk miRNA as biomarkers of energy status in dairy cows, which is affected by feed restrictions.

Sections du résumé

BACKGROUND BACKGROUND
In dairy cows, diet is one factor that can affect their milk production and composition. However, the effect of feed restriction on milk miRNome has not yet been described. Indeed, milk is the body fluid with the highest RNA concentration, which includes numerous microRNA. Its presence in the four different milk fractions, whole milk, fat globules, mammary epithelial cells and extracellular vesicles, is still poorly documented. This study aimed to describe the effects of different feed restrictions on the miRNome composition of different milk fractions.
RESULTS RESULTS
Two feed restrictions were applied to lactating dairy cows, one of high intensity and one of moderate intensity. 2,896 mature microRNA were identified in the different milk fractions studied, including 1,493 that were already known in the bovine species. Among the 1,096 microRNA that were sufficiently abundant to be informative, the abundance of 1,027 of them varied between fractions: 36 of those were exclusive to one milk fraction. Feed restriction affected the abundance of 155 microRNA, with whole milk and milk extracellular vesicles being the most affected, whereas milk fat globules and exfoliated mammary epithelial cells were little or not affected at all. The high intensity feed restriction led to more microRNA variations in milk than moderate restriction. The target prediction of known microRNA that varied under feed restriction suggested the modification of some key pathways for lactation related to milk fat and protein metabolisms, cell cycle, and stress responses.
CONCLUSIONS CONCLUSIONS
This study highlighted that the miRNome of each milk fraction is specific, with mostly the same microRNA composition but with variations in abundance between fractions. These specific miRNomes were affected differently by feed restrictions, the intensity of which appeared to be a major factor modulating milk miRNomes. These findings offer opportunities for future research on the use of milk miRNA as biomarkers of energy status in dairy cows, which is affected by feed restrictions.

Identifiants

pubmed: 37957547
doi: 10.1186/s12864-023-09769-5
pii: 10.1186/s12864-023-09769-5
pmc: PMC10641998
doi:

Substances chimiques

MicroRNAs 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

680

Informations de copyright

© 2023. The Author(s).

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Auteurs

A Leduc (A)

Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78350, France.
PEGASE, INRAE, Institut Agro, 35590, Saint Gilles, France.
Institut de L'Elevage, 75012, Paris, France.

S Le Guillou (S)

Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78350, France.

D Laloë (D)

Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78350, France.

L Herve (L)

PEGASE, INRAE, Institut Agro, 35590, Saint Gilles, France.

J Laubier (J)

Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78350, France.

P Poton (P)

PEGASE, INRAE, Institut Agro, 35590, Saint Gilles, France.

Y Faulconnier (Y)

INRAE, Université Clermont Auvergne, VetagroSup, UMRH, Saint-Genès-Champanelle, 63122, France.

J Pires (J)

INRAE, Université Clermont Auvergne, VetagroSup, UMRH, Saint-Genès-Champanelle, 63122, France.

M Gele (M)

Institut de L'Elevage, 75012, Paris, France.

P Martin (P)

Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78350, France.

C Leroux (C)

INRAE, Université Clermont Auvergne, VetagroSup, UMRH, Saint-Genès-Champanelle, 63122, France.

M Boutinaud (M)

PEGASE, INRAE, Institut Agro, 35590, Saint Gilles, France.

F Le Provost (F)

Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78350, France. fabienne.le-provost@inrae.fr.

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Classifications MeSH