Abstract
Pinellia ternata, a traditional Chinese medicine, is well-renowned for its effectiveness in treating sickness such as coughs with excessive phlegm, vomiting, and nausea. The nucleoside components of P. ternata have been shown to have antitumor activity. Identifying potential growth areas of high-quality P. ternata based on the content of five nucleoside components and the identification of climatic features suitable for the growth of P. ternata will help to conserve P. ternata resources with targeted bioactive compounds. Using high-performance liquid chromatography (HPLC), we determined five nucleoside components, uridine, guanosine, adenosine, inosine, and thymidine, at 27 sampling points of P. ternata collected from 21 municipalities of 11 provinces in China. We used ecological niche modeling to identify the major environmental factors associated with the high metabolite content of P. ternata, including precipitation of the warmest quarter, annual mean temperature, annual precipitation, and isothermality. Areas with high suitability for the five nucleosides were found in Hebei, Shandong, Shanxi, Gansu, Sichuan, Guizhou, and Hubei Provinces. Under the RCP 2.6, RCP 4.5, and RCP 8.5 scenarios, the areas with a suitable distribution decreased and some areas with high suitability became areas with low suitability. Overall, our findings advance our knowledge of the ecological impacts of climate change and provide a valuable reference for conserving and sustainably developing high-quality P. ternata resources in the future.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Change history
20 January 2024
A Correction to this paper has been published: https://doi.org/10.1007/s10661-023-12269-4
References
Abdelaal, M., Fois, M., Fenu, G., & Bacchetta, G. (2019). Using MaxEnt modeling to predict the potential distribution of the endemic plant Rosa arabica Crép. in Egypt. Ecological Informatics, 50, 68–75. https://doi.org/10.1016/j.ecoinf.2019.01.003
Bai, J., Qi, J. B., Yang, L., Wang, Z. T., Wang, R., & Shi, Y. H. (2022). A comprehensive review on ethnopharmacological, phytochemical, pharmacological and toxicological evaluation, and quality control of Pinellia ternata (Thunb.) Breit. Journal of Ethnopharmacology, 298, 115650. https://doi.org/10.1016/j.jep.2022.115650
Chen, P. Q., Yu, S. L., Zhan, Y. N., & Kang, X. L. (2006). A review on plant heat stress physiology. Chinese Agricultural Science Bulletin, 22(05), 223–227.
China Medical Science Press. (2020). Pharmacopoeia of the People’s Republic of China. Volume I. China Medical Science Press.
Dyderski, M. K., Paź, S., Frelich, L. E., & Jagodziński, A. M. (2017). How much does climate change threaten European forest tree species distributions? Global Change Biology, 24(3), 1150–1163. https://doi.org/10.1111/gcb.13925
Editorial Committee of Flora of China, Chinese Academy of Sciences. (1979). Flora Reipublicae Popularis Sinica., 13(2), 203.
Gan, G. C., Zou, Y., Liu, Y. L., Lin, S. T., & Yao, L. (2021). Prediction of potential suitable areas of Taxus Mairei in Guizhou Province by maximum entropy model. Inner Mongolia Forestry Investigation and Design, 44(05), 67–71. https://doi.org/10.13387/j.cnki.nmld.2021.05.019
Han, M. H., Yang, X. W., Zhong, G. Y., & Zhang, M. (2007). Bioactive constituents inhibiting TNF-α production in fresh rhizome of Pinellia ternata. China Journal of Chinese Materia Medica, 32(17), 1755–1759.
Hao, P. F., Wu, Q., Zhang, C. Y., Bian, H., Huang, X. Z., & Li, H. Y. (2021). Determination of 10 components in Pinellia ternata from different habitats by UPLC–MS/MS and selection of quality control indices. Chinese Journal of Hospital Pharmacy, 41(01), 46–51+62. https://doi.org/10.13286/j.1001-5213.2021.01.09
Hu, X. F., Ying, F. X., He, Y. B., Gao, Y. Y., Chen, H. M., & Chen, J. S. (2008). Characterization of Pectobacterium carotovorum subsp. carotovorum causing soft-rot disease on Pinellia ternata in China. European Journal of Plant Pathology, 120, 305–310. https://doi.org/10.1007/s10658-007-9219-4
Huang, J., Yi, J. H., Liu, Y. H., Huang, Z. F., Chen, Y., & Liu, Y. H. (2013). Determination of eight nucleosides in Rhizoma Arisaema, Rhizoma Pinellie and Rhizoma Typhonii. Chinese Journal of Experimental Traditional Medical Formulae, 19(16), 59–62. https://doi.org/10.11653/syfj2013160059
Huang, Z. B., Xie, L. N., Wang, H. W., Zhong, J. B., Li, Y. C., Liu, J. L., Ou, Z. R., Liang, X. X., Li, Y. S., Huang, H. Y., Lin, Z. R., Zhang, K., Zhang, L. Y., & Zheng, X. (2019). Geographic distribution and impacts of climate change on the suitable habitats of Zingiber species in China. Industrial Crops and Products, 138, 111429. https://doi.org/10.1016/j.indcrop.2019.05.078
IPCC. (2014). In: Core Writing Team, Pachauri, R.K., Meyer, L.A. (Eds.), Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change IPCC (p. 151). IPCC.
Kinahan, J. J., Kowal, E. P., & Grindey, G. B. (1981). Biochemical and antitumor effects of the combination of thymidine and 1-β-D-Arabinofuranosylcytosine against leukemia L1210. Cancer Research, 41(2), 445–451. https://doi.org/10.1523/JNEUROSCI.2176-12.2012
Lee, J., Chuang, T. H., Redecke, V., She, L. P., Pitha, P. M., Carson, D. A., Raz, E., & Cottam, H. B. (2003). Molecular basis for the immunostimulatory activity of guanine nucleoside analogs: Activation of Toll-like receptor 7. Proceedings of the National Academy of Sciences of the United States of America, 100(11), 6646–6651. https://doi.org/10.1073/pnas.0631696100
Li, S. P., Li, P., Ji, H., Zhu, Q., Dong, T. T. X., & Tsim, K. W. K. (2001). The nucleosides contents and their variation in natural cordyceps sinensis and cultured cordyceps mycelia. Journal of Chinese Pharmaceutical Sciences, 10(04), 175–179. https://doi.org/10.3321/j.issn:0513-4870.2001.06.009
Li, X. G., Lu, P., Zhang, W. F., Li, B., Yang, R., & Luo, K. Y. (2013). Study on anti-Ehrlich ascites tumor effect of Pinellia ternata polysaccharide in vivo. African Journal of Traditional, Complementary and Alternative Medicines, 10(5), 380–385. https://doi.org/10.4314/ajtcam.v10i5.27
Liu, L., Zhang, Y. Y., Huang, Y., Zhang, J. D., Mou, Q. Y., Qiu, J. Y., Wang, R. L., Li, Y. J., & Zhang, D. Q. (2022a). Simulation of potential suitable distribution of original species of Fritillariae Cirrhosae Bulbus in China under climate change scenarios. Environmental Science and Pollution Research, 29, 22237–22250. https://doi.org/10.1007/s11356-021-17338-0
Liu, Y., Bao, H. Y., Wang, B., & Duan, T. Y. (2022b). Content determination of 7 nucleosides composition in Pinelliae Rhizoma from different producing areas. Journal of Gansu University of Chinese Medicine, 39(03), 32–36. https://doi.org/10.16841/j.issn1003-8450.2022.03.06
Mao, R. J., & He, Z. G. (2020). Pinellia ternata (Thunb.) Breit: A review of its germplasm resources, genetic diversity and active components. Journal of Ethnopharmacology, 263, 113252. https://doi.org/10.1016/j.jep.2020.113252
Ostad-Ali-Askari, K., Ghorbanizadeh, K. H., Shayannejad, M., & Zareian, M. J. (2020). Effect of climate change on precipitation patterns in an arid region using GCM models: case study of Isfahan-Borkhar Plain. Natural Hazards Review, 21(2), 1–6. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000367
Patni, B., Bhattacharyya, M., & Aradhana kumari., & Kant purohit, V. (2021). Alarming influence of climate change and compromising quality of medicinal plants. Plant Physiology Reports, 1(10), 27. https://doi.org/10.1007/s40502-021-00616-x
Parmesan, C., & Yohe, G. (2003). A globally coherent fingerprint of climate change impacts across natural systems. Nature, 421(6918), 37–42. https://doi.org/10.1038/nature01286
Pearson, R. G., Raxworthy, C. J., Nakamura, M., & Peterson, A. T. (2007). ORIGINAL ARTICLE: Predicting species distributions from small numbers of occurrence records: A test case using cryptic geckos in Madagascar. Journal of Biogeography, 34, 102–117. https://doi.org/10.1111/j.1365-2699.2006.01594.x
Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190, 231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
Shen, H. (2012). Studies on the standard cultivation technology and physiological responses to the temperature of Pinellia ternata (Thunb.) Breit from Sichuan province. Sichuan Agricultural University.
Shen, T., Yu, H., & Wang, Y. Z. (2021). Assessing the impacts of climate change and habitat suitability on the distribution and quality of medicinal plant using multiple information integration: Take Gentiana rigescens as an example. Ecological Indicators, 123, 107376. https://doi.org/10.1016/j.ecolind.2021.107376
Shi, J. L. (2015). Isolation and identification of pathogens and antagonistic bacteria of rotted root on Pinellia ternata in Guizhou province. Guizhou Medical University.
Singh, S. P., Misra, A., Kumar, B., Adhikari, D., Srivastava, S., & Barik, S. K. (2022). Identification of potential cultivation areas for centelloside-specific elite chemotypes of Centella asiatica (L.) using ecological niche modeling. Industrial Crops and Products, 188, 115657. https://doi.org/10.1016/j.indcrop.2022.115657
Speed, J. D. M., Evankow, A. M., Petersen, T. K., Ranke, P. S., Nilsen, N. H., Turner, G., Aagaard, K., Bakken, T., Davidsen, J. G., Dunshea, G., Finstad, A. G., Hassel, K., Husby, M., Hårsaker, K., Koksvik, J. I., Prestø, T., & Vange, V. (2022). A regionally coherent ecological fingerprint of climate change, evidenced from natural history collections. Ecology and Evolution, 12(11), e9471. https://doi.org/10.1002/ece3.9471
Sun, S. X., Zhang, Y., Huang, D. Z., Wang, H., Cao, Q., Fan, P. X., Yang, N., Zheng, P. M., & Wang, R. Q. (2020). The effect of climate change on the richness distribution pattern of oaks (Quercus L.) in China. Science of the Total Environment, 744, 140786. https://doi.org/10.1016/j.scitotenv.2020.140786
Thomas, C. D., Cameron, A., Green, R. E., Bakkenes, M., Beaumont, L. J., Collingham, Y. C., Erasmus, B. F., De Siqueira, M. F., Grainger, A., Hannah, L., Hughes, L., Huntley, B., Van Jaarsveld, A. S., Midgley, G. F., Miles, L., Ortega-Huerta, M. A., Peterson, A. T., Phillips, O. L., & Williams, S. E. (2004). Extinction risk from climate change. Nature, 427, 145–148. https://doi.org/10.1038/nature02121
Tian, Y. P., & Gao, Y. L. (2020). The theoretical basis and mechanism of Qingfei Paidu decoction in the treatment of COVID-19. Chinese Journal of Medicinal Guide, 22(05), 289–293.
Wang, C. Y. (2010). Effects of exogenous nitric oxide on the growth and active components of Pinellia ternata under high temperature stress. Nanjing Agricultural University. https://doi.org/10.7666/d.Y1986454
Wan, G. Z., Wang, L., Jin, L., & Chen, J. (2021). Evaluation of environmental factors affecting the quality of Codonopsis pilosula based on chromatographic fingerprint and MaxEnt model. Industrial Crops and Products, 170, 113783. https://doi.org/10.1016/j.indcrop.2021.113783
Wang, H. D., & Wu, F. M. (2012). Investigation of Pinellia ternata Resources in China. Journal of Anhui Agricultural Sciences, 40(01), 150–151+200. https://doi.org/10.13989/j.cnki.0517-6611.2012.01.194
Wang, J., Guo, Y. X., Yao, Y., Zhang, J., Li, J., Zhu, Y. F., & Liu, S. J. (2020). Identification of Pinellia Ternata and its counterfeits based on HPLC fingerprint analysis. Journal of Nanjing University of Traditional Chinese Medicine, 36(02), 267–272. https://doi.org/10.14148/j.issn.1672-0482.2020.0267
Wang, J. F. (2021). Study on the quality analysis of multicomponents of Pinellia from different places. Anhui University of Chinese Medicine. https://doi.org/10.26922/d.cnki.ganzc.2021.000295
Wang, J. L., Chen, J. L., Zhang, X. Y., Feng, X., & Li, X. W. (2023). Physiological and transcriptional responses to heat stress in a typical phenotype of Pinellia ternata. Chinese Journal of Natural Medicines, 21(4), 243–252. https://doi.org/10.1016/S1875-5364(23)60433-9
Wang, X. M., Feng, L., Zhou, T., Ruhsam, M., Huang, L., Hou, X. Q., Sun, X. J., Fan, K., Huang, M., Zhou, Y., & Song, J. (2018). Genetic and chemical differentiation characterizes top-geoherb and non-top-geoherb areas in the TCM herb rhubarb. Scientific Reports, 8, 9424. https://doi.org/10.1038/s41598-018-27510-1
Wang, Y., Zhang, L., Du, Z. X., Pei, J., & Huang, L. F. (2019). Chemical diversity and prediction of potential cultivation areas of Cistanche herbs. Scientific Reports, 9, 19737. https://doi.org/10.1038/s41598-019-56379-x
Wu, M., Gu, X., Zhang, Z. Y., Si, M. D., Zhang, Y. J., Tian, W., & Ma, D. L. (2022). The effects of climate change on the quality of Ziziphus jujuba var. Spinosa in China. Ecological Indicators, 139, 108934. https://doi.org/10.1016/j.ecolind.2022.108934
Xia, Q. (2022). Research on the law of COVID-19 treatment by traditional Chinese medicine based on data mining. Jiangxi University of Chinese Medicine. https://doi.org/10.27180/d.cnki.gjxzc.2022.000019
Xue, J. P., Zhang, A. M., Yang, J., Chang, L., & Huang, Y. Q. (2007). Change of endogenous hormone around sprout tumble of Pinellia ternata under high temperature stress. China Journal of Chinese Materia Medica, 32(23), 2489–2491. https://doi.org/10.3321/j.issn:1001-5302.2007.23.009
Yang, Y., He, J., Liu, Y. X., Zeng, J. X., Zeng, L. Q., He, R. L., Guiang, M. M., Li, Y. Q., & Wu, H. (2023). Assessment of Chinese suitable habitats of Zanthoxylum nitidum in different climatic conditions by Maxent model, HPLC, and chemometric methods. Industrial Crops and Products, 196, 116515. https://doi.org/10.1016/j.indcrop.2023.116515
Yuan, C., Wu, H. Z., Liu, B., Xiong, Y. Y., Xiong, W. C., Yao, Y. F., Ke, X. G., Yu, B., Chen, P. Y., & Yang, Y. F. (2020). Anti - inflammatory active components and mechanism of Banxia (Pinellia Rhizoma) based on network pharmacology. Chinese Archives of Traditional Chinese Medicine, 38(09), 150–153+275-276. https://doi.org/10.13193/j.issn.1673-7717.2020.09.038
Zhang, C. X., Zhang, W., Xu, J. J., & Yang, X. B. (2020). Analysis on suitability distribution of Pinus tabulaeformis in Hebei Province based on GIS and MaxEnt model. Geography and Geo-Information Science, 36(06), 18–25. https://doi.org/10.3969/j.issn.1672-0504.2020.06.004
Zhang, M. F., & Shen, Y. Q. (2017). Research progresses of pharmacological actions in antimicrobial, anti-inflammation and antitumor of extract from Pinelliae Rhizoma. Anti-Infection Pharmacy, 14(06), 1089–1094. https://doi.org/10.13493/j.issn.1672-7878.2017.06-001
Zhang, M. C., Xie, H., Lu, T. L., He, C., Mao, C. Q., Feng, F., & Jiang, X. F. (2021a). Quality evaluation of Pinelliae Rhizoma before and after hot water washing based on HPLC fingerprint, chemometrics and network pharmacology. Chinese Traditional and Herbal Drugs, 52(10), 2897–2908. https://doi.org/10.7501/j.issn.0253-2670.2021.10.006
Zhang, Y., Li, C. F., Gao, G. H., Ma, Y., & Ren, Q. (2021b). Method establishment for content determination of 8 nucleosides in wild and cultivated Pinellia ternata and the difference analysis. China Pharmacy, 32(13), 1583–1588. https://doi.org/10.6039/j.issn.1001-0408.2021.13.08
Zhou, H. J., An, L. L., Fu, Y., Wang, R. X., Liu, G., Liu, Y. C., Sun, Q. W., & Zhang, Y. P. (2021). Correlation of chemical components in Periploca forrestii with ecological and soil factors. Chinese Journal of Experimental Traditional Medical Formulae, 27(16), 141–149. https://doi.org/10.13422/j.cnki.syfjx.20211018
Zhu, Y. H., Zhu, G. S., Guo, Q. S., Zhu, Z. B., Wang, C. L., & Liu, Z. Y. (2013). A comparative proteomic analysis of Pinellia ternata leaves exposed to heat stress. International Journal of Molecular Sciences, 14(10), 20614–20634. https://doi.org/10.3390/ijms141020614
Acknowledgements
We are thankful to the Hebei University of Traditional Chinese Medicine, for providing the necessary facilities for this research work. We are thankful to our colleagues for their support in the field and laboratory work. We thank the esteemed editor and anonymous reviewers for their valuable comments on the earlier version of the manuscript, which significantly improved its quality.
Funding
This research was supported financially by the Key Research and Development Project of Hebei Province: Scientific and Technological Innovation Team of Modern Seed Industry of Traditional Chinese Medicine (21326312D-3), the Innovation Team of Hebei Province Modern Agricultural Industry Technology System (HBCT2018060205), the Scientific Research Planning Project of Hebei Administration of Traditional Chinese Medicine (2022098, 2023121, 2020126, 2020131), the Scientific Research Project of the Natural Science Foundation of Hebei Province, China (H2022423004, H2022423329), and the 2018 Traditional Chinese Medicine Resources Survey Project of China (Z135080000022).
Author information
Authors and Affiliations
Contributions
Jinmiao Qiu: Writing - original draft, review and editing, experimentation and methodology, and validation of results. Xian Gu: form the ecological niche model, review and editing, and conceptualization. Xiaowei Li, Jingyi Bi, and Yang Liu: collect samples, experimentation, and methodology. Kaiyan Zheng and Yunsheng Zhao: supervision, review and editing, project administration, funding, and resource acquisition.
Corresponding authors
Ethics declarations
Ethical approval
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
ESM 1
(DOCX 206 kb)
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Qiu, J., Gu, X., Li, X. et al. Identification of potentially suitable areas for nucleosides of Pinellia Ternata (Thunb.) Breit using ecological niche modeling. Environ Monit Assess 195, 1479 (2023). https://doi.org/10.1007/s10661-023-12065-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10661-023-12065-0