Advertisement

Genome-Wide Identification of MicroRNAs in Medicago truncatula by High-Throughput Sequencing

Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 1069)

Abstract

MicroRNAs (miRNAs) are small, endogenous RNAs that play important regulatory roles in development and stress response in plants by negatively regulating gene expression post-transcriptionally. Medicago truncatula has been used as a model plant to study functional genomics of legume plants. It has also been widely used to functionally study miRNAs. Identification of miRNAs at the whole-genome level is essential for functional characterization of miRNAs in plants. High-throughput sequencing is a powerful technology to identify miRNAs. In this chapter, the methods used for construction of a small RNA library and high-throughput sequencing involving total RNA isolation, small RNA purification, adapter ligation, reverse transcription, PCR amplification, and Solexa sequencing are described. Bioinformatics and analysis of differential expression of miRNAs including primary disposal, miRNA identification, target prediction, and expression analysis are also discussed. These methodologies associated with identification and functional characterization of miRNAs may provide useful tools for readers to study miRNAs in plants in general and Medicago truncatula in particular.

Key words

microRNA Medicago truncatula High-throughput sequencing Bioinformatics analysis 

References

  1. 1.
    Lee RC, Feinbaum RL, Ambros V (1993) The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell 75:843–854PubMedCrossRefGoogle Scholar
  2. 2.
    Jones-Rhoades MW, Bartel DP, Bartel B (2006) MicroRNAs and their regulatory roles in plants. Annu Rev Plant Biol 57:19–53PubMedCrossRefGoogle Scholar
  3. 3.
    Khraiwesh B, Arif MA, Seumel GI et al (2010) Transcriptional control of gene expression by microRNAs. Cell 140:111–122PubMedCrossRefGoogle Scholar
  4. 4.
    Bartel DP (2004) MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116: 281–297PubMedCrossRefGoogle Scholar
  5. 5.
    Llave C, Xie Z, Kasschau KD et al (2002) Cleavage of Scarecrow-like mRNA targets directed by a class of Arabidopsis miRNA. Science 297:2053–2056PubMedCrossRefGoogle Scholar
  6. 6.
    Chen X (2004) A microRNA as a translational repressor of APETALA2 in Arabidopsis flower development. Science 303:2022–2025PubMedCrossRefGoogle Scholar
  7. 7.
    Brodersen P, Sakvarelidze-Achard L, Bruun-Rasmussen M et al (2008) Widespread translational inhibition by plant miRNAs and siRNAs. Science 320:1185–1190PubMedCrossRefGoogle Scholar
  8. 8.
    Kurihara Y, Watanabe Y (2004) Arabidopsis micro-RNA biogenesis through Dicer-like 1 protein functions. Proc Natl Acad Sci USA 101:12753–12758PubMedCrossRefGoogle Scholar
  9. 9.
    Reyes JL, Chua NH (2007) ABA induction of miR159 controls transcript levels of two MYB factors during Arabidopsis seed germination. Plant J 49:592–606PubMedCrossRefGoogle Scholar
  10. 10.
    Palatnik JF, Allen E, Wu X et al (2003) Control of leaf morphogenesis by microRNAs. Nature 425:257–263PubMedCrossRefGoogle Scholar
  11. 11.
    Liu Z, Jia L, Wang H et al (2011) HYL1 regulates the balance between adaxial and abaxial identity for leaf flattening via miRNA-mediated pathways. J Exp Bot 62:4367–4381PubMedCrossRefGoogle Scholar
  12. 12.
    Aukerman MJ, Sakai H (2003) Regulation of flowering time and floral organ identity by a MicroRNA and its APETALA2-like target genes. Plant Cell 15:2730–2741PubMedCrossRefGoogle Scholar
  13. 13.
    Guo HS, Xie Q, Fei JF et al (2005) MicroRNA directs mRNA cleavage of the transcription factor NAC1 to downregulate auxin signals for arabidopsis lateral root development. Plant Cell 17:1376–1386PubMedCrossRefGoogle Scholar
  14. 14.
    Wang JW, Wang LJ, Mao YB et al (2005) Control of root cap formation by MicroRNA-targeted auxin response factors in Arabidopsis. Plant Cell 17:2204–2216PubMedCrossRefGoogle Scholar
  15. 15.
    Boualem A, Laporte P, Jovanovic M et al (2008) MicroRNA166 controls root and nodule development in Medicago truncatula. Plant J 54:876–887PubMedCrossRefGoogle Scholar
  16. 16.
    Li WX, Oono Y, Zhu JH et al (2008) The Arabidopsis NFYA5 transcription factor is regulated transcriptionally and posttranscriptionally to promote drought resistance. Plant Cell 20:2238–2251PubMedCrossRefGoogle Scholar
  17. 17.
    Trindade I, Capitao C, Dalmay T et al (2010) miR398 and miR408 are up-regulated in response to water deficit in Medicago truncatula. Planta 231:705–716PubMedCrossRefGoogle Scholar
  18. 18.
    Wei LY, Zhang DF, Xiang F et al (2009) Differentially expressed miRNAs potentially involved in the regulation of defense mechanism to drought stress in maize seedlings. Int J Plant Sci 170:979–989CrossRefGoogle Scholar
  19. 19.
    Zhao B, Liang R, Ge L et al (2007) Identification of drought-induced microRNAs in rice. Biochem Biophys Res Commun 354:585–590PubMedCrossRefGoogle Scholar
  20. 20.
    Zhou L, Liu Y, Liu Z et al (2010) Genome-wide identification and analysis of drought–responsive microRNAs in Oryza sativa. J Exp Bot 61:4157–4168PubMedCrossRefGoogle Scholar
  21. 21.
    Lv DK, Bai X, Li Y et al (2010) Profiling of cold-stress-responsive miRNAs in rice by microarrays. Gene 459:39–47PubMedCrossRefGoogle Scholar
  22. 22.
    Zhang J, Xu Y, Huan Q et al (2009) Deep sequencing of Brachypodium small RNAs at the global genome level identifies microRNAs involved in cold stress response. BMC Genomics 10:449PubMedCrossRefGoogle Scholar
  23. 23.
    Zhou X, Wang G, Sutoh K et al (2008) Identification of cold-inducible microRNAs in plants by transcriptome analysis. Biochim Biophys Acta 1779:780–788PubMedCrossRefGoogle Scholar
  24. 24.
    Zhao B, Ge L, Liang R et al (2009) Members of miR-169 family are induced by high salinity and transiently inhibit the NF-YA transcription factor. BMC Mol Biol 10:29PubMedCrossRefGoogle Scholar
  25. 25.
    Bari R, Pant BD, Stitt M et al (2006) PHO2, microRNA399, and PHR1 define a phosphate-signaling pathway in plants. Plant Physiol 141:988–999PubMedCrossRefGoogle Scholar
  26. 26.
    Chiou TJ, Aung K, Lin SI et al (2006) Regulation of phosphate homeostasis by MicroRNA in Arabidopsis. Plant Cell 18:412–421PubMedCrossRefGoogle Scholar
  27. 27.
    Jones-Rhoades MW, Bartel DP (2004) Computational identification of plant microRNAs and their targets, including a stress-induced miRNA. Mol Cell 14:787–799PubMedCrossRefGoogle Scholar
  28. 28.
    Zeng HQ, Zhu YY, Huang SQ et al (2010) Analysis of phosphorus-deficient responsive miRNAs and cis-elements from soybean (Glycine max L.). J Plant Physiol 167:1289–1297PubMedCrossRefGoogle Scholar
  29. 29.
    Zhou ZS, Zeng HQ, Liu ZP et al (2012) Genome-wide identification of Medicago truncatula microRNAs and their targets reveals their differential regulation by heavy metal. Plant Cell Environ 35:86–99PubMedCrossRefGoogle Scholar
  30. 30.
    Chen L, Wang TZ, Zhao MG et al (2012) Identification of aluminum-responsive microRNAs in Medicago truncatula by genome-wide high-throughput sequencing. Planta 235:375–386PubMedCrossRefGoogle Scholar
  31. 31.
    Sunkar R, Kapoor A, Zhu JK (2006) Posttranscriptional induction of two Cu/Zn superoxide dismutase genes in Arabidopsis is mediated by downregulation of miR398 and important for oxidative stress tolerance. Plant Cell 18:2051–2065PubMedCrossRefGoogle Scholar
  32. 32.
    Zhang Z, Wei L, Zou X et al (2008) Submergence-responsive MicroRNAs are potentially involved in the regulation of morphological and metabolic adaptations in maize root cells. Ann Bot 102:509–519PubMedCrossRefGoogle Scholar
  33. 33.
    Jia X, Ren L, Chen QJ et al (2009) UV-B-responsive microRNAs in Populus tremula. J Plant Physiol 166:2046–2057PubMedCrossRefGoogle Scholar
  34. 34.
    Zhou X, Wang G, Zhang W (2007) UV-B responsive microRNA genes in Arabidopsis thaliana. Mol Syst Biol 3:103PubMedCrossRefGoogle Scholar
  35. 35.
    Bazzini AA, Hopp HE, Beachy RN et al (2007) Infection and coaccumulation of tobacco mosaic virus proteins alter microRNA levels, correlating with symptom and plant development. Proc Natl Acad Sci USA 104:12157–12162PubMedCrossRefGoogle Scholar
  36. 36.
    He XF, Fang YY, Feng L et al (2008) Characterization of conserved and novel microRNAs and their targets, including a TuMV-induced TIR-NBS-LRR class R gene-derived novel miRNA in Brassica. FEBS Lett 582:2445–2452PubMedCrossRefGoogle Scholar
  37. 37.
    Axtell MJ, Bartel DP (2005) Antiquity of microRNAs and their targets in land plants. Plant Cell 17:1658–1673PubMedCrossRefGoogle Scholar
  38. 38.
    Allen E, Xie Z, Gustafson AM et al (2004) Evolution of microRNA genes by inverted duplication of target gene sequences in Arabidopsis thaliana. Nat Genet 36:1282–1290PubMedCrossRefGoogle Scholar
  39. 39.
    Rajagopalan R, Vaucheret H, Trejo J et al (2006) A diverse and evolutionarily fluid set of microRNAs in Arabidopsis thaliana. Genes Dev 20:3407–3425PubMedCrossRefGoogle Scholar
  40. 40.
    Fahlgren N, Howell MD, Kasschau KD et al (2007) High-throughput sequencing of Arabidopsis microRNAs: evidence for frequent birth and death of MIRNA genes. PLoS One 2:e219PubMedCrossRefGoogle Scholar
  41. 41.
    Sunkar R, Zhou X, Zheng Y et al (2008) Identification of novel and candidate miRNAs in rice by high throughput sequencing. BMC Plant Biol 8:25PubMedCrossRefGoogle Scholar
  42. 42.
    Xin M, Wang Y, Yao Y et al (2010) Diverse set of microRNAs are responsive to powdery mildew infection and heat stress in wheat (Triticum aestivum L.). BMC Plant Biol 10:123PubMedCrossRefGoogle Scholar
  43. 43.
    Subramanian S, Fu Y, Sunkar R et al (2008) Novel and nodulation-regulated microRNAs in soybean roots. BMC Genomics 9:160PubMedCrossRefGoogle Scholar
  44. 44.
    Kwak PB, Wang QQ, Chen XS et al (2009) Enrichment of a set of microRNAs during the cotton fiber development. BMC Genomics 10:457PubMedCrossRefGoogle Scholar
  45. 45.
    Pantaleo V, Szittya G, Moxon S et al (2010) Identification of grapevine microRNAs and their targets using high-throughput sequencing and degradome analysis. Plant J 62:960–976PubMedGoogle Scholar
  46. 46.
    Barakat A, Wall PK, Diloreto S et al (2007) Conservation and divergence of microRNAs in Populus. BMC Genomics 8:481PubMedCrossRefGoogle Scholar
  47. 47.
    Kozomara A, Griffiths-Jones S (2011) miRBase: integrating microRNA annotation and deep-sequencing data. Nucleic Acids Res 39:D152–D157PubMedCrossRefGoogle Scholar
  48. 48.
    Szittya G, Moxon S, Santos DM et al (2008) High-throughput sequencing of Medicago truncatula short RNAs identifies eight new miRNA families. BMC Genomics 9:593PubMedCrossRefGoogle Scholar
  49. 49.
    Jagadeeswaran G, Zheng Y, Li YF et al (2009) Cloning and characterization of small RNAs from Medicago truncatula reveals four novel legume-specific microRNA families. New Phytol 184:85–98PubMedCrossRefGoogle Scholar
  50. 50.
    Lelandais-Briere C, Naya L, Sallet E et al (2009) Genome-wide Medicago truncatula small RNA analysis revealed novel microRNAs and isoforms differentially regulated in roots and nodules. Plant Cell 21:2780–2796PubMedCrossRefGoogle Scholar
  51. 51.
    Wang TZ, Chen L, Zhao MG et al (2011) Identification of drought-responsive microRNAs in Medicago truncatula by genome-wide high-throughput sequencing. BMC Genomics 12:367PubMedCrossRefGoogle Scholar
  52. 52.
    Chen L, Wang TZ, Zhao MG et al (2012) Ethylene-responsive miRNAs in roots of Medicago truncatula identified by high-throughput sequencing at whole genome level. Plant Sci 184:14–19PubMedCrossRefGoogle Scholar
  53. 53.
    Hafner M, Landgraf P, Ludwig J et al (2008) Identification of microRNAs and other small regulatory RNAs using cDNA library sequencing. Methods 44:3–12PubMedCrossRefGoogle Scholar
  54. 54.
    Allen E, Xie Z, Gustafson AM et al (2005) microRNA-directed phasing during trans-acting siRNA biogenesis in plants. Cell 121:207–221PubMedCrossRefGoogle Scholar
  55. 55.
    Li R, Li Y, Kristiansen K et al (2008) SOAP: short oligonucleotide alignment program. Bioinformatics 24:713–714PubMedCrossRefGoogle Scholar
  56. 56.
    Altschul SF, Gish W, Miller W et al (1990) Basic local alignment search tool. J Mol Biol 215:403–410PubMedGoogle Scholar
  57. 57.
    Griffiths-Jones S, Saini HK, van Dongen S et al (2008) miRBase: tools for microRNA genomics. Nucleic Acids Res 36:D154–D158PubMedCrossRefGoogle Scholar
  58. 58.
    Meyers BC, Axtell MJ, Bartel B et al (2008) Criteria for annotation of plant MicroRNAs. Plant Cell 20:3186–3190PubMedCrossRefGoogle Scholar
  59. 59.
    Moxon S, Schwach F, Dalmay T et al (2008) A toolkit for analysing large-scale plant small RNA datasets. Bioinformatics 24:2252–2253PubMedCrossRefGoogle Scholar
  60. 60.
    German MA, Luo S, Schroth G et al (2009) Construction of parallel analysis of RNA ends (PARE) libraries for the study of cleaved miRNA targets and the RNA degradome. Nat Protoc 4:356–362PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  1. 1.State Key Laboratory of Vegetation and Environmental ChangeInstitute of Botany, The Chinese Academy of SciencesBeijingChina

Personalised recommendations