Effect of different reverse transcription aproaches in Pru p 3 transcripts semiquantitative amplification
DOI:
https://doi.org/10.5219/891Keywords:
reverse transcription, peach, RNA extraction, Pru p 3, semiquantitative amplificationAbstract
Reverse transcriptase transcribes the cDNA based on its previous extraction and standardization. Reverse transcription step is considered to be critical in the workflow of quantification of transcribed genes. The aim of the study was to extract total RNA by different methods and to analyse the results of the subsequent reverse transcription reaction when different commercial RT kits were used to process RNA extracted from pulp of matured peach fruit. Mature peach pulp was used in the study. The fruit of variety Vistarich was collected in summer 2017 in the orchard of Dvory nad Žitavou. Two RNA extraction methods, TRIzol® Reagent and GeneJET Plant RNA Purification Kit, were tested in to determine the suitable method for peach fruit RNA extraction. Three different cDNA reagent sets were used to transcribe 115 ng/500 ng total RNA or 11 ng/115 ng, respectively. Both variants of the primers, random hexamers as well as oligo (dT) 18, were used to anneal the target mRNA of Pru p 3 allergen following the manufacturer instructions. No specific effect was obtained in the case of peach fruit when using ethanol-extracted tissue treatment and the effect of the used extraction method was more significant. The A260/230 ratios were similar for three from four tested methods. In the case of these three methods, the A260/A230 ratios for all the extracted samples were higher than 1.9 which indicates high purity without contamination by polyphenols and polysaccharides. The specificity of obtained amplicons was proved by restriction cleavage using Tse I restriction endonuclease. This provided the cleavage of the 179 bp long product in all amplicons. Working with mature fruit meet a specific situation in the field of RNA extraction and subsequently all the downstream applications. That is, why choosing the most fitting methods and kits is a crucial step. Here, the method for the semi-quantitative analysis of the Pru p 3 allergen expressions was set up in the way that will be directly applicable for Pru p 3 expression analyses.
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Asif, M., Trivedi P., Solomos, T., Tucker, M. 2006. Isolation of High-Quality RNA from Apple (Malus domestica) Fruit. Journal of Agricultural and Food Chemistry, vol. 54, no. 15, p. 5227-5529. DOI: https://doi.org/10.1021/jf053137n
Davis, A. R., Levi, A., Kim, S., King, S. R., Hernandez, A. 2006. RNA Extraction Method from Fruit Tissue High in Water and Sugar. Horticulture Science, vol. 41, no. 5, p. 1292-1294. DOI: https://doi.org/10.21273/HORTSCI.41.5.1292
Gil, M. I., Tomás-Barberán, F. A., Hess-Pierce, B., Kader, A. A. 2002. Antioxidant capacities, phenolic compounds, carotenoids, and vitamin C contents of nectarine, peach, and plum cultivars from California. Journal of Agricultural and Food Chemistry, vol. 50, no. 17, p. 4976-4982. https://doi.org/10.1021/jf020136b PMid:12166993 DOI: https://doi.org/10.1021/jf020136b
Gudenschwager, O., González-Agüero, M., De Filippi, B.G. 2012. A general method for high-quality RNA isolation from metabolite-rich fruits. South African Journal of Botany, vol. 83, p. 186-192. https://doi.org/10.1016/j.sajb.2012.08.004 DOI: https://doi.org/10.1016/j.sajb.2012.08.004
Hu, C. G., Honda, C., Kita, M., Zhang, Z., Tsuda, T., Moriguchi, T. 2002. A simple protocol for RNA isolation from fruit trees containing high levels of polysaccharides and polyphenol compounds. Plant Molecular Biology Reporter, vol. 20, no. 1, p. 69a-69g. https://doi.org/10.1007/BF02801935 DOI: https://doi.org/10.1007/BF02801935
Hirose, T., Terao, T. 2004. A comprehensive expression analysis of the starch synthase gene family in rice (Oryza sativa L.). Planta, vol. 220, no. 1, p. 9-16. https://doi.org/10.1007/s00425-004-1314-6 DOI: https://doi.org/10.1007/s00425-004-1314-6
Huggett, J. B., Bustin, S. A. 2011. Standardisation and reporting for nucleic acid quantification. Accreditation and Quality Assurance, vol. 16, no. 8, p. 399-405. https://doi.org/10.1007/s00769-011-0769-y DOI: https://doi.org/10.1007/s00769-011-0769-y
Kačániová, M., Hleba, L., Pochop, J., Kádasi-Horáková, M., Fikselová, M., Rovná, K. 2012. Determination of wine microbiota using classical method, polymerase chain method and Step One Real-Time PCR during fermentation process. Journal of Environmental Science and Health, vol. 47, no. 6, p. 571-578. https://doi.org/10.1080/03601234.2012.665750 DOI: https://doi.org/10.1080/03601234.2012.665750
Knoteková, Ľ., Žiarovská, J. 2017. Comparative analysis of Mal d 1.03A expressed transcripts in pulp of apple cultivars Golden and Spartan. Journal of Microbiology, Biotechnology and Food Sciences, vol. 7, no. 3, p. 221-225. https://doi.org/10.15414/jmbfs.2017/18.7.3.221-225 DOI: https://doi.org/10.15414/jmbfs.2017/18.7.3.221-225
Lekanne Deprez, R. H., Fijnvandraat, A. C., Ruijter, J. M., Moorman, A. F. M. Sensitivity and accuracy of quantitative real-time polymerase chain reaction using SYBR green I depends on cDNA synthesis conditions. Analytical Chemistry, vol. 307, no. 1, p. 63-69. DOI: https://doi.org/10.1016/S0003-2697(02)00021-0
Mannonen, L., Markkula, E., Puolakkainen, M. 2011. Analysis of Chlamydia pneumoniae infection in mononuclear cells by reverse transcription-PCR targeted to chlamydial gene transcripts. Medical Microbiology and Immunology, vol. 200, no. 3, p. 143-154. https://doi.org/10.1007/s00430-011-0184-3 DOI: https://doi.org/10.1007/s00430-011-0184-3
Marone, M., Mozzetti, S., De Ritis, D., Pierelli, L., Scambia, G. 2001. Semiquantitative RT-PCR analysis to assess the expression levels of multiple transcripts fromthe same sample. Biological Procedures Online, vol. 3, p. 19-25. https://doi.org/10.1251/bpo20 PMid:12734582 DOI: https://doi.org/10.1251/bpo20
Nicot, N., Hausman, J. F., Hoffmann, L., Evers, D. 2005. Housekeeping gene selection for real-time RT-PCR normalization in potato during biotic and abiotic stress. Journal of Experimental Botany, vol. 56, no. 421, p. 2907-2914. https://doi.org/10.1093/jxb/eri285 DOI: https://doi.org/10.1093/jxb/eri285
Polumuri, S. K., Ruknudin, A., Schulze, D. H. 2002. RNase H and its effects on PCR. Biotechniques; vol. 32, no. 6, p. 1224-1225. PMid:12074147 DOI: https://doi.org/10.2144/02326bm01
Ražná, K., Bežo, M., Hlavačková, L., Žiarovská, J., Miko, M., Gažo, J., Habán, M. 2016. MicroRNA (miRNA) in food resources and medicinal plant. Potravinarstvo, vol. 10, no. 1, p. 188-194. https://doi.org/10.5219/583 DOI: https://doi.org/10.5219/583
Roberts, J. D., Bebenek, K., Kunkel, T. A. 1988. The accuracy of reverse transcriptase from HIV-1. Science, vol. 242, no. 4882, p. 1171-1173. https://doi.org/10.1126/science.2460925 PMid:2460925 DOI: https://doi.org/10.1126/science.2460925
Sanders, R., Mason, D. J., Foy, C. A., Huggett, J. F. 2014. Considerations for accurate gene expression measurement by reverse transcription quantitative PCR when analyzing clinical samples. Analytical Bioanalytical Chemistry, vol. 406, no. 26, p. 6471-6483. https://doi.org/10.1007/s00216-014-7857-x PMid:24858468 DOI: https://doi.org/10.1007/s00216-014-7857-x
Ståhlberg, A., Håkansson, J., Xian, X., Semb, H., Kubista, M. 2004. Properties of the Reverse Transcription Reaction in mRNA Quantification. Clinical Chemistry, vol. 50, no. 3, p. 509-515.https://doi.org/10.1373/clinchem.2003.026161 PMid:14726469 DOI: https://doi.org/10.1373/clinchem.2003.026161
Vivodík, M., Balážová, Ž., Gálová, Z., Kuťka Hlozáková, T. 2015. Differentiation of ricin using RAPD markers. Pakistan Journal of Botany, vol. 47, no. 4, p. 1341-1345.
Zou, J., Liu, A., Chen, X., Zhou, X., Gao, G., Wang, W., Zhang, Z. 2009. Expression analysis of nine rice heat shock protein genes under abiotic stresses and ABA treatment. Journal of Plant Physiology, vol. 166, no. 8, p. 851-861. https://doi.org/10.1016/j.jplph.2008.11.007 PMid:19135278 DOI: https://doi.org/10.1016/j.jplph.2008.11.007
Žiarovská, J., Labajová, M., Ražná, K., Bežo, M., Štefúnová, V., Shevtsova, T., Garkava, K., Brindza, J. 2013. Changes in expression of BetV1 allergen of silver birch pollen in urbanized area of Ukraine. Journal of environmental science and health, vol. 48, no. 12, p. 1479-1484. https://doi.org/10.1080/10934529.2013.796788 PMid:23802156 DOI: https://doi.org/10.1080/10934529.2013.796788
Žiarovská, J., Zeleňáková, L. 2016. Central and Eastern European spring pollen allergens and their expression analysis-state of the art. Diversity, vol. 8, no. 4, p. 1-11. https://doi.org/10.3390/d8040019 DOI: https://doi.org/10.3390/d8040019
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