Evaluation of key miRNAs during early pregnancy in Kazakh horse using RNA sequencing.
Abstract: miRNA has an important role in cell differentiation, biological development, and physiology. Milk production is an important quantitative trait in livestock and miRNA plays a role in the amount of milk produced. Methods: The role of regulatory miRNAs involved in equine milk production is not fully understood. We constructed two miRNA libraries for Kazakh horse milk production from higher-producing (H group) and lower-producing (L group) individuals, and used RNA-Seq technology to identify the differentially expressed miRNAs between the two milk phenotypes of Kazakh horses. Results: A total of 341 known and 333 novel miRNAs were detected from the H and L groups, respectively. Eighty-three differentially expressed miRNAs were identified between the H and L group s, of which 32 were known miRNAs (27 were up-regulated, five were down-regulated) and 51 were novel miRNAs (nine were up-regulated, 42 were down-regulated). A total of 2,415 genes were identified. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses showed that these genes were annotated to mammary gland development, mammary gland morphogenesis, tissue development and PI3K-Akt signaling pathways, insulin signaling pathway and TGF-beta signaling pathway, among others. Five miRNAs (miR-199a-3p, miR143, miR145, miR221, miR486-5p) were identified as affecting horse milk production and these five miRNAs were validated using qRT-PCR. Conclusions: We described a methodology for the transcriptome-wide profiling of miRNAs in milk, which may help the design of new intervention strategies to improve the milk yield of Kazakh horses.
©2021 Liu et al.
Publication Date: 2021-02-23 PubMed ID: 33665012PubMed Central: PMC7908884DOI: 10.7717/peerj.10796Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Journal Article
Summary
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
This research investigated the roles of various miRNAs in milk production in Kazakh horses, discovering some that are differentially expressed in higher vs. lower milk-yielding horse populations, and suggesting possibilities for improving milk yield through miRNA intervention.
Objective and Methodology
- The goal of this research was to investigate the function of regulatory miRNAs in the milk production of Kazakh horses. Understanding this could shed light on quantitative traits like milk yield in livestock.
- The researchers developed two miRNA libraries from Kazakh horses with high milk production (H group) and low milk production (L group).
- The sequencing technology, RNA-Seq, was used to reveal differentially expressed miRNAs between the two groups.
Results
- In the high and low milk production groups, a total of 341 known and 333 novel miRNAs were detected respectively.
- There was differential expression of 83 miRNAs between the two groups, with 32 identified as known (27 up-regulated, 5 down-regulated) and 51 as novel miRNAs (9 up-regulated, 42 down-regulated).
- Through this process, the researchers were able to identify 2,415 genes.
- Both Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses suggested that these genes were associated with mammary gland development and morphogenesis, tissue development, and several signaling pathways.
- Five miRNAs (miR-199a-3p, miR143, miR145, miR221, miR486-5p) were found to have potential influence on horse milk production. These miRNAs were further validated using a method known as qRT-PCR.
Conclusions
- This study offers a methodology for profiling miRNAs on a transcriptome-wide scale within milk, which could guide new intervention strategies aimed to enhance milk yield in Kazakh horses.
- The research also adds to the existing body of knowledge on the role of miRNAs in milk production, which is an important quantitative trait in livestock.
Cite This Article
APA
Liu L, Fang C, Sun Y, Liu W.
(2021).
Evaluation of key miRNAs during early pregnancy in Kazakh horse using RNA sequencing.
PeerJ, 9, e10796.
https://doi.org/10.7717/peerj.10796 Publication
Researcher Affiliations
- College of Animal Science, Xinjiang Agriculture University, Urumqi, Xinjiang, China.
- Department of Animal Production, Farah Research Centre from the Faculty of Veterinary Medicine, University of Liège, Liège, Belgium.
- College of Animal Science, Xinjiang Agriculture University, Urumqi, Xinjiang, China.
- College of Animal Science, Xinjiang Agriculture University, Urumqi, Xinjiang, China.
Conflict of Interest Statement
The authors declare there are no competing interests.
References
This article includes 36 references
- Amaral ME, Cunha DA, Anhê GF, Ueno M, Carneiro EM, Velloso LA, Bordin S, Boschero AC. Participation of prolactin receptors and phosphatidylinositol 3-kinase and MAP kinase pathways in the increase in pancreatic islet mass and sensitivity to glucose during pregnancy.. J Endocrinol 2004 Dec;183(3):469-76.
- Baek D, Villén J, Shin C, Camargo FD, Gygi SP, Bartel DP. The impact of microRNAs on protein output.. Nature 2008 Sep 4;455(7209):64-71.
- Basu M, Roy SS. Wnt/β-catenin pathway is regulated by PITX2 homeodomain protein and thus contributes to the proliferation of human ovarian adenocarcinoma cell, SKOV-3.. J Biol Chem 2013 Feb 8;288(6):4355-67.
- Betel D, Wilson M, Gabow A, Marks DS, Sander C. The microRNA.org resource: targets and expression.. Nucleic Acids Res 2008 Jan;36(Database issue):D149-53.
- Cao WT. Identification, selection and functional research of miRNAs in dairy Goat mammary gland.. Xianyang: Northwest A & F University; 2015.
- Cappelli K, Capomaccio S, Viglino A, Silvestrelli M, Beccati F, Moscati L, Chiaradia E. Circulating miRNAs as Putative Biomarkers of Exercise Adaptation in Endurance Horses.. Front Physiol 2018;9:429.
- Capuco AV, Wood DL, Baldwin R, Mcleod K, Paape MJ. Mammary cell number, proliferation, and apoptosis during a bovine lactation: relation to milk production and effect of bST.. J Dairy Sci 2001 Oct;84(10):2177-87.
- Cowled C, Foo CH, Deffrasnes C, Rootes CL, Williams DT, Middleton D, Wang LF, Bean AGD, Stewart CR. Circulating microRNA profiles of Hendra virus infection in horses.. Sci Rep 2017 Aug 7;7(1):7431.
- Ducharme NA, Bickel PE. Lipid droplets in lipogenesis and lipolysis.. Endocrinology 2008 Mar;149(3):942-9.
- Friedländer MR, Chen W, Adamidi C, Maaskola J, Einspanier R, Knespel S, Rajewsky N. Discovering microRNAs from deep sequencing data using miRDeep.. Nat Biotechnol 2008 Apr;26(4):407-15.
- Gu Z, Eleswarapu S, Jiang H. Identification and characterization of microRNAs from the bovine adipose tissue and mammary gland.. FEBS Lett 2007 Mar 6;581(5):981-8.
- Huston GE, Patton S. Factors related to the formation of cytoplasmic crescents on milk fat globules.. J Dairy Sci 1990 Aug;73(8):2061-6.
- Ji Z, Chao T, Zhang C, Liu Z, Hou L, Wang J, Wang A, Wang Y, Zhou J, Xuan R, Wang G, Wang J. Transcriptome Analysis of Dairy Goat Mammary Gland Tissues from Different Lactation Stages.. DNA Cell Biol 2019 Feb;38(2):129-143.
- Ji Z, Dong F, Wang G, Hou L, Liu Z, Chao T, Wang J. miR-135a Targets and Regulates Prolactin Receptor Gene in Goat Mammary Epithelial Cells.. DNA Cell Biol 2015 Aug;34(8):534-40.
- Ji ZB, Wang GZ, Hou L, Liu ZH, Wang JM, Chao TL. MiR-143 inhibits proliferation and induces apoptosis of mammary epithelial cells in dairy goat.. Animal Cells and Systems 2016;20:63–69.
- Ji Z, Wang G, Zhang C, Xie Z, Liu Z, Wang J. Identification and Function Prediction of Novel MicroRNAs in Laoshan Dairy Goats.. Asian-Australas J Anim Sci 2013 Mar;26(3):309-15.
- Jiao BL, Zhang XL, Wang SH, Wang LX, Luo ZX, Zhao HB, Khatib H, Wang X. MicroRNA-221 regulates proliferation of bovine mammary gland epithelial cells by targeting the STAT5a and IRS1 genes.. J Dairy Sci 2019 Jan;102(1):426-435.
- Lee S, Hwang S, Yu HJ, Oh D, Choi YJ, Kim MC, Kim Y, Ryu DY. Expression of microRNAs in Horse Plasma and Their Characteristic Nucleotide Composition.. PLoS One 2016;11(1):e0146374.
- Lemay DG, Ballard OA, Hughes MA, Morrow AL, Horseman ND, Nommsen-Rivers LA. RNA sequencing of the human milk fat layer transcriptome reveals distinct gene expression profiles at three stages of lactation.. PLoS One 2013;8(7):e67531.
- Lemay DG, Neville MC, Rudolph MC, Pollard KS, German JB. Gene regulatory networks in lactation: identification of global principles using bioinformatics.. BMC Syst Biol 2007 Nov 27;1:56.
- Li Z, Liu H, Jin X, Lo L, Liu J. Expression profiles of microRNAs from lactating and non-lactating bovine mammary glands and identification of miRNA related to lactation.. BMC Genomics 2012 Dec 27;13:731.
- Lim W, Song G. Naringenin-induced migration of embrynoic trophectoderm cells is mediated via PI3K/AKT and ERK1/2 MAPK signaling cascades.. Mol Cell Endocrinol 2016 Jun 15;428:28-37.
- Liu HY, An JG, Wang HY, Li MX, Xue YH, Xu GF. Studying of fresh mare’s milk on alleviating physical fatigue.. China Dairy Industry 2010;38:25–27.
- Loux SC, Scoggin KE, Bruemmer JE, Canisso IF, Troedsson MH, Squires EL, Ball BA. Evaluation of circulating miRNAs during late pregnancy in the mare.. PLoS One 2017;12(4):e0175045.
- Maningat PD, Sen P, Rijnkels M, Sunehag AL, Hadsell DL, Bray M, Haymond MW. Gene expression in the human mammary epithelium during lactation: the milk fat globule transcriptome.. Physiol Genomics 2009 Mar 3;37(1):12-22.
- Martin M. Cut adapt removes adapter sequences from high-throughput sequencing reads.. Embnet Journal 2011;17:10–12.
- McGivney BA, Griffin ME, Gough KF, McGivney CL, Browne JA, Hill EW, Katz LM. Evaluation of microRNA expression in plasma and skeletal muscle of thoroughbred racehorses in training.. BMC Vet Res 2017 Nov 22;13(1):347.
- Mobuchon L, Marthey S, Boussaha M, Le Guillou S, Leroux C, Le Provost F. Annotation of the goat genome using next generation sequencing of microRNA expressed by the lactating mammary gland: comparison of three approaches.. BMC Genomics 2015 Apr 11;16(1):285.
- Patton S, Huston GE. Incidence and characteristics of cell pieces on human milk fat globules.. Biochim Biophys Acta 1988 May 12;965(2-3):146-53.
- Sferruzzi-Perri AN, López-Tello J, Fowden AL, Constancia M. Maternal and fetal genomes interplay through phosphoinositol 3-kinase(PI3K)-p110α signaling to modify placental resource allocation.. Proc Natl Acad Sci U S A 2016 Oct 4;113(40):11255-11260.
- Silanikove N, Merin U, Shapiro F, Leitner G. Milk metabolites as indicators of mammary gland functions and milk quality.. J Dairy Res 2014 Aug;81(3):358-63.
- Wang XH. The role of lncRNA and miRNA in dairy milk quality regulation.. Harbin: Northeast Agricultural University; 2017. p. pp 73.
- Wang L, Feng Z, Wang X, Wang X, Zhang X. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data.. Bioinformatics 2010 Jan 1;26(1):136-8.
- Wang M, Moisá S, Khan MJ, Wang J, Bu D, Loor JJ. MicroRNA expression patterns in the bovine mammary gland are affected by stage of lactation.. J Dairy Sci 2012 Nov;95(11):6529-35.
- Wang X, Zhang L, Jin J, Xia A, Wang C, Cui Y, Qu B, Li Q, Sheng C. Comparative transcriptome analysis to investigate the potential role of miRNAs in milk protein/fat quality.. Sci Rep 2018 Apr 19;8(1):6250.
- Wickramasinghe S, Rincon G, Islas-Trejo A, Medrano JF. Transcriptional profiling of bovine milk using RNA sequencing.. BMC Genomics 2012 Jan 25;13:45.
Citations
This article has been cited 4 times.- Ding Y, Hu Q, Gan J, Zang X, Gu T, Wu Z, Cai G, Hong L. Effect of miR-143-3p from Extracellular Vesicles of Porcine Uterine Luminal Fluid on Porcine Trophoblast Cells. Animals (Basel) 2022 Dec 2;12(23).
- Wang J, Hao Z, Hu L, Qiao L, Luo Y, Hu J, Liu X, Li S, Zhao F, Shen J, Li M, Zhao Z. MicroRNA-199a-3p regulates proliferation and milk fat synthesis of ovine mammary epithelial cells by targeting VLDLR. Front Vet Sci 2022;9:948873.
- Ding W, Gong W, Bou T, Shi L, Lin Y, Wu H, Dugarjaviin M, Bai D. Pilot Study on the Profiling and Functional Analysis of mRNA, miRNA, and lncRNA in the Skeletal Muscle of Mongolian Horses, Xilingol Horses, and Grassland-Thoroughbreds. Animals (Basel) 2025 Apr 13;15(8).
- Ulaangerel T, Wang M, Zhao B, Yi M, Shen Y, Mengkh Y, Wen X, Dugarjav M, Bou G. A Comparative Analysis of the Gene Expression Profiles in the Mammary Glands of Lactating and Nonlactating Mares at the Second Month of Gestation. Animals (Basel) 2024 Aug 9;14(16).
Use Nutrition Calculator
Check if your horse's diet meets their nutrition requirements with our easy-to-use tool Check your horse's diet with our easy-to-use tool
Talk to a Nutritionist
Discuss your horse's feeding plan with our experts over a free phone consultation Discuss your horse's diet over a phone consultation
Submit Diet Evaluation
Get a customized feeding plan for your horse formulated by our equine nutritionists Get a custom feeding plan formulated by our nutritionists