College of Animal Science, Jilin University, Changchun, 130062, People's Republic of China.
College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, People's Republic of China.
Funct Integr Genomics. 2021 Jul;21(3-4):393-404. doi: 10.1007/s10142-021-00786-9. Epub 2021 May 7.
Lipid metabolism in bovine mammary epithelial cells has been the primary focus of the research of milk fat percentage of dairy cattle. Functional microRNAs can affect lipid metabolism by regulating the expression of candidate genes. The purpose of the study was to screen and identify differentially expressed miRNAs, candidate genes, and co-regulatory pathways related to the metabolism of milk fat. To achieve this aim, we used miRNA and transcriptome data from the mammary epithelial cells of dairy cattle with high (H, 4.85%) and low milk fat percentages (L, 3.41%) during mid-lactation. One hundred ninety differentially expressed genes and 33 differentially expressed miRNAs were significantly enriched in related regulatory networks, of which 27 candidate genes regulated by 18 differentially expressed miRNAs significantly enriched in pathways related to lipid metabolism (p < 0.05). Target relationships between PDE4D and bta-miR-148a, PEG10 and bta-miR-877, SOD3 and bta-miR-2382-5p, and ADAMTS1 and bta-miR-2425-5p were verified using luciferase reporter assays and quantitative RT-PCR. The detection of triglyceride production in BMECs showed that bta-miR-21-3p and bta-miR-148a promote triglyceride synthesis, whereas bta-miR-124a, bta-miR-877, bta-miR-2382-5p, and bta-miR-2425-5p inhibit triglyceride synthesis. The conjoint analysis could identify functional miRNAs and regulatory candidate genes involved in lipid metabolism within the co-expression networks of the dairy cattle mammary system, which contributes to the understanding of potential regulatory mechanisms of genetic element and gene signaling networks involved in milk fat metabolism.
奶牛乳脂率一直是奶牛乳腺上皮细胞脂代谢研究的重点。功能性 microRNA 可以通过调节候选基因的表达来影响脂代谢。本研究旨在筛选和鉴定与乳脂代谢相关的差异表达 miRNA、候选基因和共同调控途径。为此,我们使用了泌乳中期乳脂率高(H,4.85%)和低(L,3.41%)的奶牛乳腺上皮细胞的 miRNA 和转录组数据。19 个差异表达基因和 33 个差异表达 miRNA 显著富集在相关调控网络中,其中 27 个候选基因受 18 个差异表达 miRNA 调控,显著富集在与脂代谢相关的途径中(p<0.05)。通过荧光素酶报告基因检测和定量 RT-PCR 验证了 PDE4D 和 bta-miR-148a、PEG10 和 bta-miR-877、SOD3 和 bta-miR-2382-5p 以及 ADAMTS1 和 bta-miR-2425-5p 之间的靶关系。在 BMECs 中检测甘油三酯的产生表明,bta-miR-21-3p 和 bta-miR-148a 促进甘油三酯的合成,而 bta-miR-124a、bta-miR-877、bta-miR-2382-5p 和 bta-miR-2425-5p 则抑制甘油三酯的合成。联合分析可以在奶牛乳腺系统的共表达网络中识别参与脂代谢的功能 miRNA 和调节候选基因,有助于理解与乳脂代谢相关的遗传元件和基因信号网络的潜在调节机制。