Abstract

MicroRNAs (miRNA) regulate mRNA networks to coordinate cellular functions. In this study, we constructed gene co-expression networks to detect miRNA modules (clusters of miRNAs with similar expression patterns) and miRNA–mRNA pairs associated with blood (triacylglyceride and nonesterified fatty acids) and milk (milk yield, fat, protein, and lactose) components and milk fatty acid traits following dietary supplementation of cows’ diets with 5% linseed oil (LSO) (n = 6 cows) or 5% safflower oil (SFO) (n = 6 cows) for 28 days. Using miRNA transcriptome data from mammary tissues of cows for co-expression network analysis, we identified three consensus modules: blue, brown, and turquoise, composed of 70, 34, and 86 miRNA members, respectively. The hub miRNAs (miRNAs with the most connections with other miRNAs) were miR-30d, miR-484 and miR-16b for blue, brown, and turquoise modules, respectively. Cell cycle arrest, and p53 signaling and transforming growth factor–beta (TGF-β) signaling pathways were the common gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enriched for target genes of the three modules. Protein percent (p = 0.03) correlated with the turquoise module in LSO treatment while protein yield (p = 0.003) and milk yield (p = 7 × 10−04) correlated with the turquoise model, protein and milk yields and lactose percent (p < 0.05) correlated with the blue module and fat percent (p = 0.04) correlated with the brown module in SFO treatment. Several fatty acids correlated (p < 0.05) with the blue (CLA:9,11) and brown (C4:0, C12:0, C22:0, C18:1n9c and CLA:10,12) modules in LSO treatment and with the turquoise (C14:0, C18:3n3 and CLA:9,11), blue (C14:0 and C23:0) and brown (C6:0, C16:0, C22:0, C22:6n3 and CLA:10,12) modules in SFO treatment. Correlation of miRNA and mRNA data from the same animals identified the following miRNA–mRNA pairs: miR-183/RHBDD2 (p = 0.003), miR-484/EIF1AD (p = 0.011) and miR-130a/SBSPON (p = 0.004) with lowest p-values for the blue, brown, and turquoise modules, respectively. Milk yield, protein yield, and protein percentage correlated (p < 0.05) with 28, 31 and 5 miRNA–mRNA pairs, respectively. Our results suggest that, the blue, brown, and turquoise modules miRNAs, hub miRNAs, miRNA–mRNA networks, cell cycle arrest GO term, p53 signaling and TGF-β signaling pathways have considerable influence on milk and blood phenotypes following dietary supplementation of dairy cows’ diets with 5% LSO or 5% SFO.

Highlights

  • Bovine milk and its products constitute a rich source of proteins, energy, minerals, vitamins (A, B, D, E and K) and antioxidants in human nutrition

  • We examined the effect of diets rich in unsaturated fatty acids (USFA) on milk composition and blood metabolites (TAG and nonesterified fatty acids (NEFA)) of lactating Holstein cows [7]

  • Using the weighted gene co-expression network analysis (WGCNA) approach for miRNA read data described by Li et al [12], we identified a total of three consensus modules of co-expressed miRNAs during the control and treatment periods (Figures 1 and 2)

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Summary

Introduction

Bovine milk and its products constitute a rich source of proteins, energy, minerals (e.g., calcium), vitamins (A, B, D, E and K) and antioxidants in human nutrition. Unsaturated fatty acids make up about 30% of the fatty acid content of milk, it has been proposed that milk fat composition with potential positive effects on human health should contain about 70% USFA [4]. Soybeans, safflower and sunflower are the most effective sources of unsaturated plant lipids used to enhance the conjugated linoleic acid (CLA) and USFA contents of milk fat. Unsaturated fatty acids and other factors like physiological and metabolic state of the cow, breed and genetics are known to influence the concentration of blood metabolites like glucose, nonesterified fatty acids (NEFA), triacylglyceride (TAG) and β hydroxybutyric acid [7,8]. The blood metabolic profile of dairy cows is used to assess the nutritional and health state of the dairy herd [9,10]

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