Identification of conserved miRNAs of Hypericum perforatum using next-generation sequencing (NGS) data

Document Type : Research Paper

Authors

1 Ph.D. graduated, Department of Department of Plant Production and Genetic Engineering, Faculty of Agriculture, Lorestan University, Khorramabad, I.R. Iran.

2 Prof., Department of Plant Production and Genetic Engineering, Faculty of Agriculture, Lorestan University, Khorramabad, I.R. Iran.

3 Ph.D. graduated, Agricultural Biotechnology Research Institute of Iran - Isfahan Branch, Agricultural Research, Education and Extension Organization (AREEO), Isfahan, I.R. Iran.

4 Prof., Department of Plant Production and Genetic Engineering, Faculty of Agriculture, Lorestan University, Khorramabad, I.R. Iran,.

Abstract

    miRNA genes consider as an important class of gene expression regulators that have diverse responses to environmental stresses and play a key role in regulating gene expression during post-transcriptional regulation. Hypericum perforatum, is well-known medicinal plant for its application in the treatment of depression due to the effects of its bioactive compounds named hypericin and hyperforin. The present study was performed to identify the conserved miRNAs and their target genes in the transcriptome of H. perforatum. First, RNA-seq data were obtained from the European Nucleotide Archive (ENA) of EMBL-EBI database and then the transcriptome (RNA) sequences were assembled. The non-coding transcripts were identified and considered as miRNA precursors candidate sequences. Finally, six miRNAs named Hp-miR395, Hp-miR845d, Hp-miR414, Hp-miR159, Hp-miR159e, and Hp-miR156c were identified from the candidate sequences using of C-mii software after applying strict filters.  Investigation of the protein-protein interaction network determined the relationships between the target genes and target proteins especially in transcription factors. In the next step, to confirm the target genes for the identified miRNAs, the foliar application of Methyl Jasmonate (MJ) with concentrations of 0 (control) and 200 μM was performed on H. perforatum plants and the expression pattern of two target genes was investigated. In the analysis of qRT-PCR expression changes at 12, 24, 48 and 72 hours after applying MJ, the relative expression level of Hyp-1 (DN121523_c1_g4_i2) and HD-Zip (DN121003_c0_g1_i1) transcripts increased after 72 hours of application of MJ. In general, regarding to the regulatory role of the identified miRNAs in the present study, these genes could be used to better and more accurately identify the biosynthetic pathway of hypercin and hyperforin.

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  • Akhtar, S., Hartmann, P., Karshovska, E., Rinderknecht, F.-A., Subramanian, P., Gremse, F., Grommes, J., Jacobs, M., Kiessling, F. & Weber, C. 2015. Endothelial hypoxia-inducible factor-1α promotes atherosclerosis and monocyte recruitment by upregulating microRNA-19a. Hypertension, 66(6), 1220-1226.
  • Çakır, Ö., Arıkan, B., Karpuz, B., & Turgut-Kara, N. 2021. Expression analysis of miRNAs and their targets related to salt stress in Solanum lycopersicum H-2274. Biotechnology & Biotechnological Equipment, 35(1), 283-290.
  • Chen, Y., Fu, Z., Zhang, H., Tian, R., Yang, H., Sun, C., Wang, L., Zhang, W., Guo, Z., & Zhang, X. 2020. Cytosolic malate dehydrogenase 4 modulates cellular energetics and storage reserve accumulation in maize endosperm. Plant biotechnology Journal, 18(12), 2420-2435.
  • Du T, Zamore PD 2005. microPrimer: the biogenesis and function of microRNA.Development, 132: 4645-4652.
  • Feyissa, B. A., Amyot, L., Nasrollahi, V., Papadopoulos, Y., Kohalmi, S. E., & Hannoufa, A. 2021. Involvement of the miR156/SPL module in flooding response in Medicago sativa. Scientific reports, 11(1), 1-16.
  • Haas, B. J., Papanicolaou, A., Yassour, M., Grabherr, M., Blood, P. D., Bowden, J., Couger, M. B., Eccles, D., Li, B., & Lieber, M. 2013. De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis. Nature protocols, 8(8), 1494-1512.
  • Han, J., Xie, H., Kong, M., Sun, Q., Li, R., & Pan, J. 2014. Computational identification of miRNAs and their targets in Phaseolus vulgaris. Genet Mol Res, 13(1), 310-322.
  • He, M., Wang, Y., Hua, W., Zhang, Y., & Wang, Z. 2012. De novo sequencing of Hypericum perforatum transcriptome to identify potential genes involved in the biosynthesis of active metabolites. PloS one, 7(7), e42081.
  • Ho, T.-T., Murthy, H. N., & Park, S.-Y. 2020. Methyl Jasmonate Induced Oxidative Stress and Accumulation of Secondary Metabolites in Plant Cell and Organ Cultures. International Journal of Molecular Sciences, 21(3), 716-727.
  • Jung J H, Seo PJ, Park CM. 2009. MicroRNAbiogenesis and function in higher plants. Plant Biotechnology Reports, 3: 111-126.
  • Li, H., Zhang, X., Wang, F., Zhou, L., Yin, Z., Fan, J., Nie, X., Wang, P., Fu, X.-D., & Chen, C. 2016. MicroRNA-21 lowers blood pressure in spontaneous hypertensive rats by upregulating mitochondrial translation. Circulation, 134(10), 734-751.
  • Mahmoudi, A., Aalami, A., Hasani Komleh, H., Esfehani, M & Shirzadian, M. 2018. Assessment of NAC2, MYB and CBF14 genes expression in susceptible. Iranian Journal of Rangelands and Forests Plant Breeding and Genetic Research, 26(1), 244-252. (In Persian)
  • Naghavi, M., & Karimi, A. 2018. Identification of miRNAs and their target genes in red clover (Trifolium pretense). Iranian Journal of Rangelands and Forests Plant Breeding and Genetic Research, 26(2), 155-163. (In Persian)
  • Rastogi, S., Meena, S., Bhattacharya, A., Ghosh, S., Shukla, R. K., Sangwan, N. S., Lal, R. K., Gupta, M. M., Lavania, U. C., & Gupta, V. 2014. De novo sequencing and comparative analysis of holy and sweet basil transcriptomes. BMC genomics, 15(1), 588-600.
  • Rizzo, P., Altschmied, L., Stark, P., Rutten, T., Gündel, A., Scharfenberg, S., Franke, K., Bäumlein, H., Wessjohann, L., & Koch, M. 2019. Discovery of key regulators of dark gland development and hypericin biosynthesis in St. John's Wort (Hypericum perforatum). Plant Biotechnology Journal, 17(12), 2299-2312.
  • Sabzehzari, M., & Naghavi, M. 2019. Phyto-miRNA: a molecule with beneficial abilities for plant biotechnology. Gene, 683, 28-34.
  • Schmiesing, A., Emonet, A., Gouhier-Darimont, C., & Reymond, P. 2016. Arabidopsis MYC transcription factors are the target of hormonal salicylic acid/jasmonic acid cross talk in response to Pieris brassicae egg extract. Plant Physiology, 170(4), 2432-2443.
  • Scholz, I., Liakoni, E., Hammann, F., Grafinger, K. E., Duthaler, U., Nagler, M., Krähenbühl, S., & Haschke, M. 2020. Effects of Hypericum perforatum (St John's wort) on the pharmacokinetics and pharmacodynamics of rivaroxaban in humans. British Journal Clinical Pharmacology, 87(3), 1466-1474.
  • Shahidi, B., Ahmadi, J., & Ourang, S. 2019. The Study of microRNAs expression pattern involved in drought stress tolerance in ancestors and wild-domestic relatives of wheat. Iranian Journal of Rangelands and Forests Plant Breeding and Genetic Research, 27(1), 1-13. (In Persian)
  • Sobhani, A., & Naghavi, M. 2018. Mining Ferula gummosa transcriptome to identify miRNAs involved in the regulation and biosynthesis of terpenes. Gene 645, 41–47.
  • Wang, Z., Wang, S., Xiao, Y., Li, Z., Wu, M., Xie, X., Li, H., Mu, W., Li, F., & Liu, P. 2020. Functional characterization of a HD-ZIP IV transcription factor NtHDG2 in regulating flavonols biosynthesis in Nicotiana tabacum. Plant Physiology and Biochemistry, 146, 259-268.
  • Wang, M., Yin, H., Zhou, Y., Sui, C., Wang, Y., Meng, X., Waterhouse, G. I., & Ai, S. 2019. Photoelectrochemical biosensor for microRNA detection based on a MoS2/g-C3N4/black TiO2 heterojunction with Histostar@ AuNPs for signal amplification. Biosensors and Bioelectronics, 128, 137-143.
  • Wu, H., Ren, Z., Zheng, L., Guo, M., Yang, J., Hou, L., Qanmber, G., Li, F., & Yang, Z. 2021. The bHLH transcription factor GhPAS1 mediates BR signaling to regulate plant development and architecture in cotton. The Crop Journal, 9(5), 1049-1059.