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PloS one2014; 9(4); e93662; doi: 10.1371/journal.pone.0093662

Identification and characterization of microRNAs in normal equine tissues by Next Generation Sequencing.

Abstract: The role of microRNAs (miRNAs) as a post-transcriptional gene regulator has been elucidated in a broad range of organisms including domestic animals. Characterization of miRNAs in normal tissues is an important step to investigate the functions of miRNAs in various physiological and pathological conditions. Using Illumina Next Generation Sequencing (NGS) technology, we identified a total of 292 known and 329 novel miRNAs in normal horse tissues including skeletal muscle, colon and liver. Distinct sets of miRNAs were differentially expressed in a tissue-specific manner. The miRNA genes were distributed across all the chromosomes except chromosomes 29 and 31 in the horse reference genome. In some chromosomes, multiple miRNAs were clustered and considered to be polycistronic transcript. A base composition analysis showed that equine miRNAs had a higher frequency of A+U than G+C. Furthermore, U tended to be more frequent at the 5' end of miRNA sequences. This is the first experimental study that identifies and characterizes the global miRNA expression profile in normal horse tissues. The present study enriches the horse miRNA database and provides useful information for further research dissecting biological functions of miRNAs in horse.
Publication Date: 2014-04-02 PubMed ID: 24695583PubMed Central: PMC3973549DOI: 10.1371/journal.pone.0093662Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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This research article explores the role of microRNAs (miRNAs) in regulating genes post-transcriptionally in several organisms, with a primary focus on horses. The researchers used Next Generation Sequencing technology to identify and study hundreds of known and new miRNAs in normal horse tissues, documenting their different expressions and locations in the horse genome.

Study Overview

  • The research identified and characterized miRNAs in normal horse tissues using high-throughput sequencing technology called Next Generation Sequencing (NGS). This high-tech sequencing method allowed researchers to identify large numbers of miRNAs reliably and efficiently.
  • The study focused on three tissues: skeletal muscle, liver and colon. A total of 621 miRNAs were identified – 292 known and 329 previously unidentified.

Key Findings

  • The researchers identified tissue-specific miRNA expression patterns. Different sets of miRNAs were found to be expressed in different tissues, indicating that their function may vary depending on the tissue.
  • The identified miRNA genes were widely distributed across the horse chromosomes. Interestingly, no miRNAs were found on chromosomes 29 and 31.
  • On some chromosomes, multiple miRNAs were clustered, suggesting they may be part of a polycistronic transcript. This means they could be transcribed as a single unit from DNA to RNA, further regulating gene expression post-transcriptionally.

miRNA Composition and Distribution

  • The researchers did a base composition analysis of the identified miRNAs. It was found that equine miRNAs had a higher frequency of adenine (A) and uracil (U) bases than guanine (G) and cytosine (C). This information could be valuable to future research analyzing the nucleotide composition and structure of miRNAs.
  • Furthermore, the base uracil (U) tended to be more frequent at the 5′ end of equine miRNA sequences. The 5′ end location is significant in RNA biology as it influences the stability and degradation of the molecule.

Contribution to Science

  • This is the first experimental study that identifies and characterizes global miRNA expression profile in normal horse tissues. The research enriches existing horse miRNA database and provides essential information for future research seeking to understand biological functions of miRNAs in the horse.

Cite This Article

APA
Kim MC, Lee SW, Ryu DY, Cui FJ, Bhak J, Kim Y. (2014). Identification and characterization of microRNAs in normal equine tissues by Next Generation Sequencing. PLoS One, 9(4), e93662. https://doi.org/10.1371/journal.pone.0093662

Publication

ISSN: 1932-6203
NlmUniqueID: 101285081
Country: United States
Language: English
Volume: 9
Issue: 4
Pages: e93662
PII: e93662

Researcher Affiliations

Kim, Myung-Chul
  • Laboratory of Clinical Pathology, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Lee, Seung-Woo
  • Laboratory of Environmental Health, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Ryu, Doug-Young
  • Laboratory of Environmental Health, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea; Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Cui, Feng-Ji
  • Laboratory of Clinical Pathology, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Bhak, Jong
  • Theragen Bio Institute, Suwon-city, Gyeonggi-do, Republic of Korea.
Kim, Yongbaek
  • Laboratory of Clinical Pathology, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea; Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.

MeSH Terms

  • Animals
  • Base Composition
  • Chromosome Mapping
  • Horses / genetics
  • MicroRNAs / genetics

Conflict of Interest Statement

The authors have declared that no competing interests exist.

References

This article includes 48 references
  1. Hwang HW, Mendell JT. MicroRNAs in cell proliferation, cell death, and tumorigenesis.. Br J Cancer 2006 Mar 27;94(6):776-80.
    pmc: PMC2361377pubmed: 16495913doi: 10.1038/sj.bjc.6603023google scholar: lookup
  2. Carrington JC, Ambros V. Role of microRNAs in plant and animal development.. Science 2003 Jul 18;301(5631):336-8.
    pubmed: 12869753doi: 10.1126/science.1085242google scholar: lookup
  3. Flynt AS, Lai EC. Biological principles of microRNA-mediated regulation: shared themes amid diversity.. Nat Rev Genet 2008 Nov;9(11):831-42.
    pmc: PMC2729318pubmed: 18852696doi: 10.1038/nrg2455google scholar: lookup
  4. Engels BM, Hutvagner G. Principles and effects of microRNA-mediated post-transcriptional gene regulation.. Oncogene 2006 Oct 9;25(46):6163-9.
    pubmed: 17028595doi: 10.1038/sj.onc.1209909google scholar: lookup
  5. Ambros V. The functions of animal microRNAs.. Nature 2004 Sep 16;431(7006):350-5.
    pubmed: 15372042doi: 10.1038/nature02871google scholar: lookup
  6. Lee Y, Jeon K, Lee JT, Kim S, Kim VN. MicroRNA maturation: stepwise processing and subcellular localization.. EMBO J 2002 Sep 2;21(17):4663-70.
    pmc: PMC126204pubmed: 12198168doi: 10.1093/emboj/cdf476google scholar: lookup
  7. Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function.. Cell 2004 Jan 23;116(2):281-97.
    pubmed: 14744438doi: 10.1016/s0092-8674(04)00045-5google scholar: lookup
  8. Bernstein E, Caudy AA, Hammond SM, Hannon GJ. Role for a bidentate ribonuclease in the initiation step of RNA interference.. Nature 2001 Jan 18;409(6818):363-6.
    pubmed: 11201747doi: 10.1038/35053110google scholar: lookup
  9. Hammond SM, Bernstein E, Beach D, Hannon GJ. An RNA-directed nuclease mediates post-transcriptional gene silencing in Drosophila cells.. Nature 2000 Mar 16;404(6775):293-6.
    pubmed: 10749213doi: 10.1038/35005107google scholar: lookup
  10. Boggs RM, Wright ZM, Stickney MJ, Porter WW, Murphy KE. MicroRNA expression in canine mammary cancer.. Mamm Genome 2008 Aug;19(7-8):561-9.
    pubmed: 18665421doi: 10.1007/s00335-008-9128-7google scholar: lookup
  11. Boggs RM, Moody JA, Long CR, Tsai KL, Murphy KE. Identification, amplification and characterization of miR-17-92 from canine tissue.. Gene 2007 Dec 1;404(1-2):25-30.
    pubmed: 17904311doi: 10.1016/j.gene.2007.08.015google scholar: lookup
  12. Li H, Li S, Yu B, Liu S. Expression of miR-133 and miR-30 in chronic atrial fibrillation in canines.. Mol Med Rep 2012 Jun;5(6):1457-60.
    pubmed: 22407060doi: 10.3892/mmr.2012.831google scholar: lookup
  13. Fleischhacker SN, Bauersachs S, Wehner A, Hartmann K, Weber K. Differential expression of circulating microRNAs in diabetic and healthy lean cats.. Vet J 2013 Sep;197(3):688-93.
    pubmed: 23636037doi: 10.1016/j.tvjl.2013.03.027google scholar: lookup
  14. Li G, Li Y, Li X, Ning X, Li M, Yang G. MicroRNA identity and abundance in developing swine adipose tissue as determined by Solexa sequencing.. J Cell Biochem 2011 May;112(5):1318-28.
    pubmed: 21312241doi: 10.1002/jcb.23045google scholar: lookup
  15. Dunn W, DuRaine G, Reddi AH. Profiling microRNA expression in bovine articular cartilage and implications for mechanotransduction.. Arthritis Rheum 2009 Aug;60(8):2333-9.
    pubmed: 19644847doi: 10.1002/art.24678google scholar: lookup
  16. 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.
    pubmed: 17306260doi: 10.1016/j.febslet.2007.01.081google scholar: lookup
  17. Jin W, Grant JR, Stothard P, Moore SS, Guan LL. Characterization of bovine miRNAs by sequencing and bioinformatics analysis.. BMC Mol Biol 2009 Sep 16;10:90.
    pmc: PMC2761914pubmed: 19758457doi: 10.1186/1471-2199-10-90google scholar: lookup
  18. Zhou M, Wang Q, Sun J, Li X, Xu L, Yang H, Shi H, Ning S, Chen L, Li Y, He T, Zheng Y. In silico detection and characteristics of novel microRNA genes in the Equus caballus genome using an integrated ab initio and comparative genomic approach.. Genomics 2009 Aug;94(2):125-31.
    pubmed: 19406225doi: 10.1016/j.ygeno.2009.04.006google scholar: lookup
  19. Das PJ, McCarthy F, Vishnoi M, Paria N, Gresham C, Li G, Kachroo P, Sudderth AK, Teague S, Love CC, Varner DD, Chowdhary BP, Raudsepp T. Stallion sperm transcriptome comprises functionally coherent coding and regulatory RNAs as revealed by microarray analysis and RNA-seq.. PLoS One 2013;8(2):e56535.
  20. Barrey E, Bonnamy B, Barrey EJ, Mata X, Chaffaux S, Guerin G. Muscular microRNA expressions in healthy and myopathic horses suffering from polysaccharide storage myopathy or recurrent exertional rhabdomyolysis.. Equine Vet J Suppl 2010 Nov;(38):303-10.
  21. Wang L, Liu H, Li D, Chen H. Identification and characterization of maize microRNAs involved in the very early stage of seed germination.. BMC Genomics 2011 Mar 18;12:154.
    pmc: PMC3066126pubmed: 21414237doi: 10.1186/1471-2164-12-154google scholar: lookup
  22. Shendure J, Ji H. Next-generation DNA sequencing.. Nat Biotechnol 2008 Oct;26(10):1135-45.
    pubmed: 18846087doi: 10.1038/nbt1486google scholar: lookup
  23. Voelkerding KV, Dames SA, Durtschi JD. Next-generation sequencing: from basic research to diagnostics.. Clin Chem 2009 Apr;55(4):641-58.
    pubmed: 19246620doi: 10.1373/clinchem.2008.112789google scholar: lookup
  24. Kozomara A, Griffiths-Jones S. miRBase: integrating microRNA annotation and deep-sequencing data.. Nucleic Acids Res 2011 Jan;39(Database issue):D152-7.
    pmc: PMC3013655pubmed: 21037258doi: 10.1093/nar/gkq1027google scholar: lookup
  25. Vilà C, Leonard JA, Gotherstrom A, Marklund S, Sandberg K, Liden K, Wayne RK, Ellegren H. Widespread origins of domestic horse lineages.. Science 2001 Jan 19;291(5503):474-7.
    pubmed: 11161199doi: 10.1126/science.291.5503.474google scholar: lookup
  26. Wade CM, Giulotto E, Sigurdsson S, Zoli M, Gnerre S, Imsland F, Lear TL, Adelson DL, Bailey E, Bellone RR, Blöcker H, Distl O, Edgar RC, Garber M, Leeb T, Mauceli E, MacLeod JN, Penedo MC, Raison JM, Sharpe T, Vogel J, Andersson L, Antczak DF, Biagi T, Binns MM, Chowdhary BP, Coleman SJ, Della Valle G, Fryc S, Guérin G, Hasegawa T, Hill EW, Jurka J, Kiialainen A, Lindgren G, Liu J, Magnani E, Mickelson JR, Murray J, Nergadze SG, Onofrio R, Pedroni S, Piras MF, Raudsepp T, Rocchi M, Røed KH, Ryder OA, Searle S, Skow L, Swinburne JE, Syvänen AC, Tozaki T, Valberg SJ, Vaudin M, White JR, Zody MC, Lander ES, Lindblad-Toh K. Genome sequence, comparative analysis, and population genetics of the domestic horse.. Science 2009 Nov 6;326(5954):865-7.
    pmc: PMC3785132pubmed: 19892987doi: 10.1126/science.1178158google scholar: lookup
  27. Nicholas FW. Online Mendelian Inheritance in Animals (OMIA): a comparative knowledgebase of genetic disorders and other familial traits in non-laboratory animals.. Nucleic Acids Res 2003 Jan 1;31(1):275-7.
    pmc: PMC165521pubmed: 12520001doi: 10.1093/nar/gkg074google scholar: lookup
  28. Chowdhary BP, Paria N, Raudsepp T. Potential applications of equine genomics in dissecting diseases and fertility.. Anim Reprod Sci 2008 Sep;107(3-4):208-18.
  29. Lacourt M, Gao C, Li A, Girard C, Beauchamp G, Henderson JE, Laverty S. Relationship between cartilage and subchondral bone lesions in repetitive impact trauma-induced equine osteoarthritis.. Osteoarthritis Cartilage 2012 Jun;20(6):572-83.
    pubmed: 22343573doi: 10.1016/j.joca.2012.02.004google scholar: lookup
  30. Yang H, Ma YH, Li B, Dugarjaviin M. [Progress on horse genome project].. Yi Chuan 2010 Mar;32(3):211-8.
    pubmed: 20233697doi: 10.3724/sp.j.1005.2010.00211google scholar: lookup
  31. McKenzie E. Muscle physiology and nutrition in exercising horses.. Equine Vet J 2011 Nov;43(6):637-9.
  32. Wei LQ, Yan LF, Wang T. Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa.. Genome Biol 2011 Jun 16;12(6):R53.
    pmc: PMC3218841pubmed: 21679406doi: 10.1186/gb-2011-12-6-r53google scholar: lookup
  33. Ji Z, Wang G, Xie Z, Zhang C, Wang J. Identification and characterization of microRNA in the dairy goat (Capra hircus) mammary gland by Solexa deep-sequencing technology.. Mol Biol Rep 2012 Oct;39(10):9361-71.
    pubmed: 22763736doi: 10.1007/s11033-012-1779-5google scholar: lookup
  34. Liang Y, Ridzon D, Wong L, Chen C. Characterization of microRNA expression profiles in normal human tissues.. BMC Genomics 2007 Jun 12;8:166.
    pmc: PMC1904203pubmed: 17565689doi: 10.1186/1471-2164-8-166google scholar: lookup
  35. Creighton CJ, Reid JG, Gunaratne PH. Expression profiling of microRNAs by deep sequencing.. Brief Bioinform 2009 Sep;10(5):490-7.
    pmc: PMC2733187pubmed: 19332473doi: 10.1093/bib/bbp019google scholar: lookup
  36. Chi X, Yang Q, Chen X, Wang J, Pan L, Chen M, Yang Z, He Y, Liang X, Yu S. Identification and characterization of microRNAs from peanut (Arachis hypogaea L.) by high-throughput sequencing.. PLoS One 2011;6(11):e27530.
  37. Song G, Wang L. A conserved gene structure and expression regulation of miR-433 and miR-127 in mammals.. PLoS One 2009 Nov 25;4(11):e7829.
  38. Mair TS, Smith LJ. Survival and complication rates in 300 horses undergoing surgical treatment of colic. Part 1: Short-term survival following a single laparotomy.. Equine Vet J 2005 Jul;37(4):296-302.
    pubmed: 16028616doi: 10.2746/0425164054529409google scholar: lookup
  39. Mair TS, Divers TJ, Ducharme NG. Manual of equine gastroenterology. 2002.
  40. Freestone JF, Carlson GR. Muscle disorders in the horse: a retrospective study.. Equine Vet J 1991 Mar;23(2):86-90.
  41. West HJ. Clinical and pathological studies in horses with hepatic disease.. Equine Vet J 1996 Mar;28(2):146-56.
  42. Galuppo LD, Snyder JR, Pascoe JR. Laparoscopic anatomy of the equine abdomen.. Am J Vet Res 1995 Apr;56(4):518-31.
    pubmed: 7785833
  43. Rajewsky N. microRNA target predictions in animals.. Nat Genet 2006 Jun;38 Suppl:S8-13.
    pubmed: 16736023doi: 10.1038/ng1798google scholar: lookup
  44. Frank F, Sonenberg N, Nagar B. Structural basis for 5'-nucleotide base-specific recognition of guide RNA by human AGO2.. Nature 2010 Jun 10;465(7299):818-22.
    pubmed: 20505670doi: 10.1038/nature09039google scholar: lookup
  45. Ai L, Xu MJ, Chen MX, Zhang YN, Chen SH, Guo J, Cai YC, Zhou XN, Zhu XQ, Chen JX. Characterization of microRNAs in Taenia saginata of zoonotic significance by Solexa deep sequencing and bioinformatics analysis.. Parasitol Res 2012 Jun;110(6):2373-8.
    pubmed: 22203522doi: 10.1007/s00436-011-2773-xgoogle scholar: lookup
  46. Zhang B, Pan X, Cannon CH, Cobb GP, Anderson TA. Conservation and divergence of plant microRNA genes.. Plant J 2006 Apr;46(2):243-59.
  47. Mendell JT. miRiad roles for the miR-17-92 cluster in development and disease.. Cell 2008 Apr 18;133(2):217-22.
    pmc: PMC2732113pubmed: 18423194doi: 10.1016/j.cell.2008.04.001google scholar: lookup
  48. Thatcher EJ, Bond J, Paydar I, Patton JG. Genomic organization of zebrafish microRNAs.. BMC Genomics 2008 May 29;9:253.
    pmc: PMC2427041pubmed: 18510755doi: 10.1186/1471-2164-9-253google scholar: lookup

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