Analysis of Associations Between Expression Patterns of miRNA miR-767, miR-335-3p and miR-106b-5p and Metabolites of Milk and Serum of Goats (Capra hircus)

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Abstract

The presented work characterised the expression profile of microRNAs miR-767, miR-335-3p and miR-106b-5p in milk and blood serum samples of goats from week 1 to week 23 of lactation, taking into account the dynamics of some protein and lipid metabolites of milk and blood. The expression of microRNAs in milk was associated with some changes in the analysed metabolites. MiR-767 was positively correlated with milk protein, casein, and fatty acids (C18:0, MCFA and MUFA). For miR-335-3p, it was negatively correlated with cholesterol and triglycerides of blood, but positively correlated with milk fat and MCFA, SCFA, TFA, and SFA including C14:0, C16:00 and C18:0. Expression of miR-106b-5p showed a unidirectional association with total blood cholesterol. Among all three serum microRNAs analysed, only miR-106b-5p expression was positively associated with milk protein, casein, LCFA and MUFA content. The high predictive effect (R2 > 0.800, p < 0.001) suggests a significant role of microRNAs synthesized by the mammary gland (miR-767 and miR-335-3p) for milk protein and fat components and miR-106b-5p circulating in the blood for milk protein and casein. The results of our study suggest that an increase in the expression level of miR-767, miR-335-3p in milk and miR-106b-5p in blood serum leads to activation of transcription and translation of their target genes, which is phenotypically expressed by an increase in the values of a range of protein and fat components of goat milk. The study of the role of miRNAs in the regulation of lactation is a promising area of modern molecular biology, which has great potential for increasing the efficiency of dairy production, improving product quality and in programs for the development of predictive biomarkers.

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About the authors

M. V. Pozovnikova

Russian Research Institute of Farm Animal Genetics and Breeding – Branch of the Ernst Federal Research Center for Animal Husbandry

Author for correspondence.
Email: pozovnikova@gmail.com
Russian Federation, Saint Petersburg, Tyarlevo, 196625

V. B. Leibova

Russian Research Institute of Farm Animal Genetics and Breeding – Branch of the Ernst Federal Research Center for Animal Husbandry

Email: pozovnikova@gmail.com
Russian Federation, Saint Petersburg, Tyarlevo, 196625

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2. Fig. 1. The PCR graph for all analyzed components of goat milk (a), for a cluster including MJ and LC (b), and the correlation matrix of goat milk components (c); in cells: **p < 0.01, ***p < 0.001.

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3. 2. Dynamic changes in triglycerides (a), total cholesterol (b), and total protein (c) in goat blood serum.

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4. 3. The level of relative expression of (-2–dCt) miR-767 (a), miR-335-3p (b) and miR-106b-5p (c) in goat milk and blood serum during various periods of the first lactation.

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5. 4. Graph of the prognostic ability of miR-106b-5p blood based on a logistic nonlinear regression model for predicting the content of MDB (a), casein (b), C18:1 (c), DCFA (d), MNFA (e) and total serum protein (e).

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6. 5. Graph of the predictive ability of milk microRNAs based on a logistic nonlinear regression model for predicting the content of milk and blood serum metabolites: miR-767 – MJ (a), MDB(b), casein (c), C18:1 (d), SCFA (e), MNFA (e); miR-335-3p – MJ (w), C14:0 (H), C16:0 (i), C18:0 (K), SCFA (L), NLC (M), SCFA (H), THC (o), blood triglycerides (P), total blood cholesterol (p); miR-106b-5p – total blood cholesterol (c).

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7. 6. microRNAs and all their target genes, including the genes of the “central module”.

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