Abstract
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.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10142-021-00786-9/MediaObjects/10142_2021_786_Fig1_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10142-021-00786-9/MediaObjects/10142_2021_786_Fig2_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10142-021-00786-9/MediaObjects/10142_2021_786_Fig3_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10142-021-00786-9/MediaObjects/10142_2021_786_Fig4_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10142-021-00786-9/MediaObjects/10142_2021_786_Fig5_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10142-021-00786-9/MediaObjects/10142_2021_786_Fig6_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10142-021-00786-9/MediaObjects/10142_2021_786_Fig7_HTML.png)
Similar content being viewed by others
Data availability
The data sets used and analyzed during the current study are available. The RNA-seq and miRNA-seq data have been submitted to the GenBank databases under accession number GSE137488.
Code availability
Not applicable.
References
Agha G, Houseman EA, Kelsey KT, Eaton CB, Buka SL, Loucks EB (2015) Adiposity is associated with DNA methylation profile in adipose tissue. Int J Epidemiol 44:1277–1287
Barber MC, Clegg RA, Travers MT, Vernon RG (1997) Lipid metabolism in the lactating mammary gland. Biochem Biophys Acta 1347:101–126. https://doi.org/10.1016/S0005-2760(97)00079-9
Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat SocSer B-Methodol 57:289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
Chen Z et al (2019) MicroRNA-106b Regulates milk fat metabolism via ATP binding cassette subfamily A member 1 (ABCA1) in bovine mammary epithelial cells. J Agric Food Chem 67:3981–3990. https://doi.org/10.1021/acs.jafc.9b00622
Chen Z, Luo J, Sun S, Cao D, Shi H, Loor JJ (2017) miR-148a and miR-17–5p synergistically regulate milk TAG synthesis via PPARGC1A and PPARA in goat mammary epithelial cells. RNA Biol 14:326–338
Cui X et al (2014) Transcriptional profiling of mammary gland in Holstein cows with extremely different milk protein and fat percentage using RNA sequencing. BMC Genomics 15:226–226
Das SK et al (2015) Micro RNA-124a regulates lipolysis via adipose triglyceride lipase and comparative gene identification 58. Int J Mol Sci 16:8555–8568
Dewhurst RJ, Shingfield KJ, Lee MRF, Scollan ND (2006) Increasing the concentrations of beneficial polyunsaturated fatty acids in milk produced by dairy cows in high-forage systems. Anim Feed Sci Technol 131:168–206. https://doi.org/10.1016/j.anifeedsci.2006.04.016
Du X et al (2014) Dictyosteliumdiscoideum Dgat2 can substitute for the essential function of Dgat1 in triglyceride production but not in ether lipid synthesis. Eukaryotic Cell 13:517–526
Felekkis K, Touvana E, Stefanou C, Deltas C (2010) MicroRNAs: a newly described class of encoded molecules that play a role in health and disease. Hippokratia 14:236–240
Javanmard A, Montanari A (2018) Online rules for control of false discovery rate and false discovery exceedance. Ann Stat 46:526–554
Jiang P et al. (2019) RNA interference mediated knockdown of ATP binding cassette subfamily A member 1 decreases the triglyceride content of bovine mammary epithelial cells. Pakistan J Zool 52(1):239–245
Jiang P et al (2020) New function of the CD44 gene: lipid metabolism regulation in bovine mammary epithelial cells. J Dairy Sci 103(7):6661–6671. https://doi.org/10.3168/jds.2019-17415
Krutzfeldt J, Poy MN, Stoffel M (2006) Strategies to determine the biological function of micrornas. Nat Genet 38. https://doi.org/10.1038/ng1799
Krutzfeldt J, Stoffel M (2006) MicroRNAs: a new class of regulatory genes affecting metabolism. Cell Metab 4:9–12. https://doi.org/10.1016/j.cmet.2006.05.009
Leng N, Dawson JA, Thomson JA, Ruotti V, Kendziorski C (2013) EBSeq: An empirical Bayes hierarchical model for inference in RNA-seq experiments. Bioinformatics 29(8):1035–1043
Li X et al (2019) miR-21–3p targets Elovl5 and regulates triglyceride production in mammary epithelial cells of cow. DNA Cell Biol 38:352–357
Li Z, Liu H, ** X, Lo L, Liu J (2012) Expression profiles of microRNAs from lactating and non-lactating bovine mammary glands and identification of miRNA related to lactation. BMC Genomics 13:731–731
Lin J, Arnold HB, Della-Fera MA, Azain MJ, Hartzell DL, Baile CA (2002) Myostatin knockout in mice increases myogenesis and decreases adipogenesis. Biochem Biophys Res Commun 291:701–706
Lu C et al (2012) Lines from Chinese Holstein dairy cow. J Anim Vet Adv 11:1166–1172
Mani O, Korner M, Ontsouka CE, Sorensen MT, Sejrsen K, Bruckmaier RM, Albrecht C (2011) Identification of ABCA1 and ABCG1 in milk fat globules and mammary cells--implications for milk cholesterol secretion. J Dairy Sci 94:1265–1276. https://doi.org/10.3168/jds.2010-3521
Mendelson CR, Zinder O, Blanchettemackie JE, Chernick SS, Scow RO (1977) Lipoprotein lipase and lipid metabolism in mammary gland. J Dairy Sci 60:666–676. https://doi.org/10.3168/jds.S0022-0302(77)83916-7
Patrice B, Silvia B, Camille B, Jean-Michel P, Cyrille F, Michele T (2017) Viruses and miRNAs: more friends than foes. Front Microbiol 8:824
Rutstein D, Castelli W, Nickerson R (1969) Heparin and human lipid metabolism. Lancet 293:1003–1008
Shen B et al (2016) Deep sequencing and screening of differentially expressed microRNAs related to milk fat metabolism in bovine primary mammary epithelial cells. Int J Mol Sci 17:200
Wang X et al (2018) Comparative transcriptome analysis to investigate the potential role of miRNAs in milk protein/fat quality. Sci Rep 8:6250. https://doi.org/10.1038/s41598-018-24727-y
Wang D, Liang G, Wang B, Sun H, Liu J, Guan LL (2016) Systematic microRNAome profiling reveals the roles of microRNAs in milk protein metabolism and quality: insights on low-quality forage utilization. Sci Rep 6:21194–21194. https://doi.org/10.1038/srep21194
Wong JC, Feldman BJ (2017) Adamts1 responds to systemic cues and gates adipogenesis. Adipocyte 6:293–297
Yang Y et al (2016b) miR-29b targets LPL and TDG genes and regulates apoptosis and triglyceride production in MECs. DNA Cell Biol 35:758–765
Yang J, Jiang J, Liu X, Wang H, Guo G, Zhang Q, Jiang L (2016a) Differential expression of genes in milk of dairy cattle during lactation. Anim Genet 47:174–180
Ying SY, Chang DC, Lin S-L (2008) The microRNA (miRNA): overview of the RNA genes that modulate gene function. Mol Biotechnol 38:257–268
Zhang Y-Y et al (2017) Transcriptome analysis of mRNA and microRNAs in intramuscular fat tissues of castrated and intact male Chinese Qinchuan cattle. PLoS One 12(10):e0185961
Funding
This work was supported by the National Natural Science Foundation of China (31772562, 31802034, and 31972993), and the Jilin Scientific and Technological Development Program (20180101275JC).
Author information
Authors and Affiliations
Contributions
Lixin **a, Zhihui Zhao, RunjunnYang, and **bi Fang conceived and designed the research. Lixin **a, ** Jiang, and Juan Liu carried out most experiments. Lixin **a, **anzhong Yu, and **aohui Li wrote the manuscript. Chunyan Lu, Haibin Yu, and **ang Yu analyzed the data. All authors read and approved the final manuscript.
Corresponding authors
Ethics declarations
Conflict of interest
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Lixin **a and Zhihui Zhao contributed equally to this work and share the first authorship.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
**a, L., Zhao, Z., Yu, X. et al. Integrative analysis of miRNAs and mRNAs revealed regulation of lipid metabolism in dairy cattle. Funct Integr Genomics 21, 393–404 (2021). https://doi.org/10.1007/s10142-021-00786-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10142-021-00786-9