Przejdź do głównego menu Przejdź do sekcji głównej Przejdź do stopki
ASPHC Baner

Tom 18 Nr 2 (2019)

Artykuły

EFFECT OF PROVENANCE AND WATER STRESS ON BIOMASS AND POLYPHYLLIN CONTENT IN THE MEDICINAL PLANT Paris polyphylla Smith var. yunnanensis

DOI: https://doi.org/10.24326/asphc.2019.2.16
Przesłane: 15 kwietnia 2019
Opublikowane: 2019-04-15

Abstrakt

Water stress and provenance could affect the secondary metabolites synthesis and accumulation in herbs. Thus, this study explored the effect of soil water moisture and provenance on the growth of Paris polyphylla Smith var. yunnanensis (PPY). Three provenances (Jinping, Luquan and Weixi in Yunnan, China) of PPY samples were grown in different soil water moisture conditions [0.80, 0.70 and 0.50 field capacity (FC)] during Dec. 2015 to Sep. 2017. Results showed that the highest biomass weight was presented in 0.70 FC for Luquan and Weixi samples. Biomass weight for Jinping provenance presented a decreasing tendency with the decreased soil water moisture and the highest biomass were shown in 0.80 FC. However, quantitative analysis revealed that the total content of polyphyllin increased with decreasing the soil water moisture for Jinping and Weixi samples. The highest total content of polyphyllin in rhizome was inclined to show in Jinping samples, while the stem and leaf tissues were shown in Weixi samples. Additionally, results of ANOVA combined with PCA indicated that the difference among these three provenances were significant. Correlation analysis results revealed that 0.50 FC induced the competitive relationship occurrence for polyphyllin distribution. Thus, 0.70 FC was the most suitable soil-water condition for PPY growth. Besides, provenance collected from Jinping could consider as a good quality germplasm. Consequently, this study might provide a preliminary foundation for irrigation project formulated and provenance screened for PPY cultivation.

Bibliografia

  1. Ashokkumar, R., Ramaswamy, M., 2014. Phytochemical screening by FTIR spectroscopic analysis of leaf extracts of selected Indian medicinal plants. Int. J. Curr. Microbiol. Appl. Sci., 3, 395–406.
  2. Bray, E.A., 1997. Plant responses to water deficit. Trends Plant Sci., 2, 48–54.
  3. Bray, E.A., 2004. Genes commonly regulated by water-deficit stress in Arabidopsis thaliana. J. Exp. Bot., 55, 2331–2341.
  4. Borges, C.V., Minatel, I.O., Gomez-Gomez, H.A., Lima, G.P.P., 2017. Medicinal plants: influence of environmental factors on the content of secondary metabolites. In: medicinal plants and environmental challenges, Ghorbanpour, M., Varma, A. (eds.). Springer, Cham, 259–277.
  5. Chaves, M.M., Maroco, J.P., Pereira, J.S., 2003. Understanding plant responses to drought-from genes to the whole plant. Funct. Plant Biol. 30, 239–264.
  6. Chen, J.B., Sun, S.Q., Ma, F., Zhou, Q., 2014. Vibrational microspectroscopic identification of powdered traditional medicines: chemical micromorphology of Poria observed by infrared and Raman microspectroscopy. Spectrochim. Acta, Part A, 128, 629–637.
  7. Chen, J., Guo, B., Yan, R., Sun, S., Zhou, Q., 2017. Rapid and automatic chemical identification of the medicinal flower buds of Lonicera plants by the benchtop and hand-held Fourier transform infrared spectroscopy. Spectrochim. Acta, Part A, 182, 81–86.
  8. Dushyant, S., Kumar, S., Maurya, A.K., Meena, K.R., 2014. Efficacy of organic manures on growth, yield and biomolecules of stevia (Stevia rebaudiana Bertoni). J. Crop. Weed., 10, 107–110.
  9. Escamilla, M.N., Sanz, F.R., Li, H., Schönbichler, S.A., Yang, B., Bonn, G.K., 2013. Rapid determination of baicalin and total baicalein content in Scutellariae radix by ATR-IR and NIR spectroscopy. Talanta, 114, 304–310.
  10. Farmer, S.B., Schilling, E.E., 2002. Phylogenetic analyses of trilliaceae based on morphological and molecular data. Syst. Bot., 27, 674–692.
  11. Feng, L.L., Zhang, L., Li,, H.F., Zhang, C.G., 2015 Quality evaluation of Paris polyphylla var. yunnansis and accumulation low analysis of its steroidal saponins. Chin. J. Exp. Tradit. Med. Formulate, 21, 41–45.
  12. Gao, S.S., 2016 Identification method of Chinese medicine decoction Piece by Mid-Infrared spectroscopy, pp. 15.
  13. Gharibi, S., Saeidi, G., Goli, S.A.H., 2016 Effect of drought stress on total phenolic, lipid peroxidation, and antioxidant activity of achillea species. Appl. Biochem. Biotechnol., 178, 796–809.
  14. Horn, B., Esslinger, S., Pfister,, M., Fauhl-Hassek, C., Riedl, J., 2018. Non-targeted detection of paprika adulteration using mid-infrared spectroscopy and one-class classification-Is it data preprocessing that makes the performance. Food Chem., 257, 112–119.
  15. Huang, X.X., Gao, W.Y., Man, S.L., Zhao, Z.Y., 2009 Advances in studies on saponins in plants of Paris L. and their biosynthetic approach. Chin. Tradit. Herb Drugs., 3, 483–489.
  16. Jiang, Y., 2009. China’s water scarcity. J. Environ. Manage., 90, 3185–3196.
  17. Karoui, R., Downey, G., Blecker, C., 2010. Mid-infrared spectroscopy coupled with chemometrics: A tool for the analysis of intact food systems and the exploration of their molecular structure-quality relationships –
  18. A review. Chem. Rev., 110, 6144–6168.
  19. Kohara, A., Nakajima, C., Hashimoto, K., Ikenaga, T., Tanaka, H., Shoyama, Y., 2005. A novel glucosyltransferase involved in steroid saponin biosynthesis in Solanum aculeatissimum. Plant Mol. Biol., 57, 225–239.
  20. Layeghhaghighi, M., Asil, M.H., Abbaszadeh, B., Sefidkon, F., Matinizadeh, M., 2017. Mycorrhiza effect on yield and component yield of Nepeta pogonosperma under water deficit conditions. Adv. Bio. Res., 8, 174–179.
  21. Lee, M.S., Chan, J.Y.W., Kong, S.K., Yu, B., Eng-Choon, V.O., Nai-Ching, H.W., 2005. Effects of polyphyllin D, a steroidal saponin in Paris polyphylla, in growth inhibition of human breast cancer cells and in xenograft. Cancer Biol. Ther., 4, 1248–1254.
  22. Li, N., Wang, Y., Xu, K., 2006. Fast discrimination of traditional Chinese medicine according to geographical origins with FTIR spectroscopy and advanced pattern recognition techniques. Opt. Express., 14, 7630–7635.
  23. Li, S.P., Yang, L.Y., Yang, B., Gu, A.N., Yan, S.W., Li, L.Y., 2008. Study on high propagation efficiency and high yield cultivation of Paris polyphlla var. yunnansis. Southwest China J. Agricultureal. Sci., 4, 956–959.
  24. Li, Y.Q., Kong, D.X., Wu, H., 2013. Analysis and evaluation of essential oil components of cinnamon barks using GC-MS and FTIR spectroscopy. Ind. Crops Prod., 41, 269–278.
  25. Li, C., Guo, Q.S., Yang, S.C., Zheng, K.Y., Li, W.P., Meng, Z.G., 2015. Determination of multiple elements in samples of the medicinal plant Marsdenia tenacissima and estimation of geographic origin via pattern recognition techniques. J. Nat. Med., 69, 55–62.
  26. Li, Y., Zhang, J.Y., Wang, Y.Z., 2017. FT-MIR and NIR spectral data fusion: a synergetic strategy for the geographical traceability of Panax notoginseng. Anal. Bioanal. Chem., 1, 91–103.
  27. Liao, P., Liu, D., Xu, T.R., Yang, Y., Cui, X., 2017. Soil water stress attenuate the growth and development but enhance the saponin synthesis of Panax notogesing during flowering stage. Ind. Crops Prod., 108, 95–105.
  28. Liu, Y., Zhao, E.R., Huang, W., Zhou, J.Q., Ju, J.H., 2010. Characteristic analysis of precipitation and temperature trend in Yunnan Province in recent 46 years. J. Catastrophol., 25, 39–44.
  29. Liu, J., Liu, X.D., Jiang, X.M., Liao, L.Q., 2011. Differential expression of functional genes in Paris L. as revealed by quantitative competitive RT-PCR. China J. Mod. Med., 21, 2709–2714.
  30. Liu, L.M., Zhao, Z.L., Han, D., Li, H.F., 2016. Investigation on accumulation of dry weight and active ingredients of Paris polyphlla var. yunnanensis with different growth years. Chin. J. Pharm., 47, 706–710.
  31. Lu, G.H., Zhou, Q., Sun, S.Q., Leung, K.S.Y., Zhang, H., Zhao, Z.Z., 2008. Differentiation of Asian ginseng, American ginseng and Notoginseng by Fourier transform infrared spectroscopy combined with two-dimensional correlation infrared spectroscopy. J. Mol. Struct., 883, 91–98.
  32. Nunes, K.M., Andrade, M.V.O., Santos Filho A.M., Lasmar, M.C., Sena, M.M., 2016. Detection and characterisation of frauds in bovine meat in natura by non-meat ingredient additions using data fusion of chemical parameters and ATR-FTIR spectroscopy. Food Chem., 205, 14–22.
  33. Pérez-Arribas, L.V., León-González, M.E., Rosales-
  34. -Conrado, N., 2017. Learning principal component analysis by using data from air quality networks. J. Chem. Educ., 94, 458–464.
  35. Petrakis, E.A., Polissiou, M.G., 2017. Assessing saffron (Crocus sativus L.) adulteration with plant-derived adulterants by diffuse reflectance infrared Fourier transform spectroscopy coupled with chemometrics. Talanta, 162, 558–566.
  36. Pradhan, N.S., Fu, Y., Zhang, L., Yang, Y., 2017. Farmers’ perception of effective drought policy implementation: A case study of 2009–2010 drought in Yunnan province, China. Land Use Pol., 67, 48–56.
  37. Qi, L.M., Zhang, J., Liu, H.G., Li, T., Wang, Y.Z., 2017. Fourier transform mid-infrared spectroscopy and chemometrics to identify and discriminate Boletus edulis and Boletus tomentipes mushrooms. Int. J. Food Prop., 20, S56–S68.
  38. Ray, A., Gupta, S.D., Ghosh, S., 2013. Isolation and characterization of potent bioactive fraction with antioxidant and UV absorbing activity from Aloe barbadensis Miller gel. J. Plant Biochem. Biotechnol., 22, 483–487.
  39. Rohaeti, E., Rafi, M., Syafitri, U.D., Heryanto, R., 2015. Fourier transform infrared spectroscopy combined with chemometrics for discrimination of Curcuma longa, Curcuma xanthorrhiza and Zingiber cassumunar. Spectrochim. Acta, Part A, 137, 1244–1249.
  40. Sekkal, M., Dincq, V., Legrand, P., Huvenne, J.P., 1995. Investigation of the glycosidic linkages in several oligosaccharides using FT-IR and FT Raman spectroscopies. J. Mol. Struct., 349, 349–352.
  41. Shao, H.B., Chu, L.Y., Jaleel, C.A., Zhao, C.X., 2008. Water-deficit stress-induced anatomical changes in higher plants. C.R. Biol., 331, 215–225.
  42. Shao, W., Li, Y., Diao, S., Jiang, J., Dong, R., 2017. Rapid classification of Chinese quince (Chaenomeles speciosa Nakai) fruit provenance by near-infrared spectroscopy and multivariate calibration. Anal. Bioanal. Chem., 409, 115–120.
  43. Sharma, A., Kalita, P., Tag, H., 2015. Distribution and phytomedicinal aspects of Paris polyphylla Smith from the Eastern Himalayan Region: A review. Tang Humanitas Med., 5, 15–1.
  44. Shen, S., Chen, D., Li, X., Li, T., Yuan, M., Zhou, Y., 2014. Optimization of extraction process and antioxidant activity of polysaccharides from leaves of Paris polyphylla. Carbohydr. Polym., 104, 80–86.
  45. Srivastava, R., Rai, K.M., Srivastava, R., 2018. Plant biosynthetic engineering through transcription regulation: An insight into molecular mechanisms during environmental stress. In: Biosynthetic Technology and Environmental Challenges, Varjani, S., Binod, P., Kumar, S., Khare, S.K. (eds.). Springer, Singapore, 51–72.
  46. Sun, S., Chen, J., Zhou, Q., Lu, G., Chan, K., 2010. Application of mid-infrared spectroscopy in the quality control of traditional Chinese medicines. Planta Med., 76, 1987–1996.
  47. Chinese Pharmacopoeia. (2015). The State Pharmacopoeia Commission, Beijing, 260–261.
  48. Theivandran, G., Mohamed Ibrahim, S., Murugan, M., 2015. Fourier transform infrared (FT-IR) spectroscopic analysis of Spirulina fusiformis. J. Med. Plants Stud., 3, 30–32.
  49. Tohda, C., Urano, T., Umezaki, M., Nemere, I., Kuboyama, T., 2012. Diosgenin is an exogenous activator of 1,25D3-MARRS/Pdia3/ERp57 and improves Alzheimer’s disease pathologies in 5XFAD mice. Sci. Rep., 2, 535.
  50. Türker-Kaya, S., Huck, C.W., 2017. A review of mid-infrared and near-infrared imaging: principles, concepts and applications in plant tissue analysis. Molecules,
  51. , 168.
  52. Verma, N., Shukla, S., 2015. Impact of various factors responsible for fluctuation in plant secondary metabolites. J. Appl. Res. Med. Aromat. Plants, 2, 105–113.
  53. Wang, Y.Z., Li, P., 2018. Effect of cultivation years on saponins in Paris polyphylla var. yunnanensis using ultra-high liquid chromatography-tandem mass spectrometry and Fourier transform infrared spectroscopy. Plant Growth Regul., 84, 373–381.
  54. Wen R., 2017. Analysis of differential expression genes by cDNA-AFLP approach during drought stress in sunflower seed germination. Inner Mongolia Agricultural University, pp. 3.
  55. Wu, X., Yuan, J., Luo, A., Chen, Y., Fan, Y., 2016. Drought stress and re-watering increase secondary metabolites and enzyme activity in dendrobium moniliforme. Ind. Crops Prod., 94, 385–393.
  56. Wu, Z., Zhang, J., Xu, F.R., Wang, Y.Z., Zhang, J.Y., 2017a. Rapid and simple determination of polyphyllin I, II, VI, and VII in different harvest times of cultivated Paris polyphylla Smith var. yunnanensis (Franch.) Hand.-Mazz by UPLC-MS/MS and FT-IR. J. Nat. Med., 71, 139–147.
  57. Wu, Z., Zhao, Y.L., Zhang, J., Wang, Y.Z., 2017b. Quality assessment of Gentiana rigescens from different geographical origins using FT-IR spectroscopy combined with HPLC. Molecules, 22, 1238.
  58. Xu, R., Sun, S.Q., Xin, S.G., Zhu, W.C., Shi, Y., Liu, T.N., Chen, J., 2010. Qualitative and semi-quantitative analysis of Cistanche deserticola by mid-infrared spectroscopy. J. Infrared. Millimeter. Waves, 29, 325–328.
  59. Xu, C.H., Chen, J.B., Zhou, Q., Sun, S.Q., 2015. Classification and identification of TCM by macro-interpretation based on FT-IR combined with 2DCOS-IR. Biomed. Spectrosc. Imaging, 4, 139–158.
  60. Xu, Y., Zhao, S., Dong, X., Ye, X., 2017. Cloning and expression of squalene epoxidase from Paris polyphylla var. yunnanensis. Chin. Tradit. Herb Drugs, 48, 1839–1844.
  61. Xue, J., Zhou, S., Wang, W., Huo, L., Zhang, L., Fang, X., 2018. Water availability effects on plant growth, seed yield, seed quality in Cassia obtusifolia L., a medicinal plant. Agric. Manage Water Qual. 195, 104–113.
  62. Yang, Y., Yang, S.C., Zhao, J., Udikeri, S., Liu, T., 2015. Microbial diversity in Paris polyphylla var. yunnanensis rhizomes of varying ages. Genet. Mol. Res., 14, 17612–17621.
  63. Yang, Y.G., Jin, H., Zhang, J., Zhang, J.Y., Wang, Y.Z., 2017. Quantitative evaluation and discrimination of wild Paris polyphylla var. yunnanensis (Franch.) Hand.-Mazz from three regions of Yunnan Province using UHPLC-UV-MS and UV spectroscopy couple with partial least squares discriminant analysis. J. Nat. Med., 71, 148–157.
  64. Yan, L.L., Zhang, Y.J., Gao, W.Y., Man, S.L., Wang, Y., 2009. In vitro and in vivo anticancer activity of steroid saponins of Paris polyphylla var. yunnanensis. Exp. Oncol., 31, 27–32.
  65. Yu, K., Wang, Y., Wei, J., Ma, Q., Yu, D., Li, J., 2009. Improving rhizome yield and quality of Paris polyphylla through gibberellic acid-induced retardation of senescence of aerial parts. Plant Signaling Behav., 4, 413–415.
  66. Zhai, P., Zhang, X., Wan, H., Pan, X., 2005. Trends in total precipitation and frequency of daily precipitation extremes over China. J. Clim., 18, 1096–1108.
  67. Zhang, L.H., Shao, H.B., Ye, G.F., Lin, Y.M., 2012. Effects of fertilization and drought stress on tannin biosynthesis of Casuarina equisetifolia seedlings branchlets. Acta. Physiol. Plant., 34, 1639–1649.
  68. Zhang, Y., Xu, L., Qiu, J., Sun, M., Xia, C., Zhou, Z., 2014a. Provenance variations in berberine content of Phellodendron amurense, a rare and endangered medicinal plant grown in Northeast China. Scand. J. Forest Res., 29, 725–733.
  69. Zhang, W., Zhang, D., Ma, X., Liu, Z., Li, F., Wu, D., 2014b. Paris saponin VII suppressed the growth of human cervical cancer Hela cells. Eur. J. Med. Res., 19, 41.
  70. Zhang, W., Cao, Z., Xie, Z., Lang, D., Zhou, L., Chu, Y., 2017. Effect of water stress on roots biomass and secondary metabolites in the medicinal plant Stellaria dichotoma L. var. lanceolata Bge. Sci. Hortic., 224, 280–285.
  71. Zhao, Y., Zhang, J., Yuan, T., Shen, T., Li, W., Yang, S., 2014a. Discrimination of wild Paris based on near infrared spectroscopy and high performance liquid chromatography combined with multivariate analysis. PloS one, 9, e89100.
  72. Zhao, T.Z., Wang, B.Q., Ma, Q., Fan, Q.L., 2014b. Study on best harvesting time of Paris polyphylla var. yunnanensis. Chin. Wild Plant Resour., 33, 61–63 + 66.
  73. Zhu, Y., Xu, C.H., Huang, J., Li, G.Y., Liu, X.H., Sun, S.Q., Wang, J.H., 2014. Rapid discrimination of cultivated Codonopsis lanceolata in different ages by FT-IR and 2DCOS-IR. J. Mol. Struct., 106, 272–279.
  74. Zhu, Y., Tan, A.T.L., 2015. Discrimination of wild-grown and cultivated Ganoderma lucidum by Fourier transform infrared spectroscopy and chemometric methods. Am. J. Anal. Chem., 6, 480–491.

Downloads

Download data is not yet available.

Podobne artykuły

<< < 28 29 30 31 32 33 34 35 36 37 > >> 

Możesz również Rozpocznij zaawansowane wyszukiwanie podobieństw dla tego artykułu.