Abstract
As environmental indicators, phytoplankton community variations often indicated the effects of anthropogenic activities on aquatic ecosystem. Efficient and accurate monitoring of phytoplankton is of great significance for water ecological assessment and conservation. We aimed to explore the impacts of anthropogenic activities on an urban river ecosystem via environmental DNA metabarcoding biomonitoring of eukaryotic phytoplankton communities at Panlong River in Kunming, Yunnan, China. 257 Species/genera eukaryotic phytoplankton were detected, and distinct spatial and seasonal variations of phytoplankton community (e.g., ASVs number, dominant taxon, the relative abundances) were observed in Panlong River. The species number (170 species/genera in dry period and 236 species/genera in wet period) and the abundances of Cryptophyta increased from dry period to wet period, while the relative abundances of Bacillariophyta and Dinophyta decreased. The diversities were higher in wet period than in dry period, and there were also significant differences among upstream, midstream and downstream. Redundancy analysis showed the water temperature was the key environmental stressor affecting phytoplankton community structures both in dry and wet periods, while the influences of other environmental factors varied in different periods and different sites. This study provides insights on phytoplankton diversity monitoring and the management of urban rivers.
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Data availability
Raw sequencing data were deposited in the NCBI Bioproject database (accession number PRJNA1028356).
References
Banerji, A., M. Bagley, M. Elk, E. Pilgrim, J. Martinson & J. Santo Domingo, 2018. Spatial and seasonal dynamics of a freshwater eukaryotic plankton community revealed via 18S rRNA gene metabarcoding. Hydrobiologia 818(1): 71–86. https://doi.org/10.1007/s10750-018-3593-0.
Bao, L., J. Chen, H. Tong, J. Qian & X. Li, 2022. Phytoplankton dynamics and implications for eutrophication management in an urban river with a series of rubber dams. Journal of Environmental Management 311: 114865. https://doi.org/10.1016/j.jenvman.2022.114865.
Birk, S., W. Bonne, A. Borja, S. Brucet, A. Courrat, S. Poikane, A. Solimini, W. van de Bund, N. Zampoukas & D. Hering, 2012. Three hundred ways to assess Europe’s surface waters: an almost complete overview of biological methods to implement the Water Framework Directive. Ecological Indicators 18: 31–41. https://doi.org/10.1016/j.ecolind.2011.10.009.
Caporaso, J. G., J. Kuczynski, J. Stombaugh, K. Bittinger, F. D. Bushman, E. K. Costello, N. Fierer, A. G. Pena, J. K. Goodrich, J. I. Gordon, G. A. Huttley, S. T. Kelley, D. Knights, J. E. Koenig, R. E. Ley, C. A. Lozupone, D. McDonald, B. D. Muegge, M. Pirrung, J. Reeder, J. R. Sevinsky, P. J. Turnbaugh, W. A. Walters, J. Widmann, T. Yatsunenko, J. Zaneveld & R. Knight, 2010. QIIME allows analysis of high-throughput community sequencing data. Nature Methods 7(5): 335–336. https://doi.org/10.1038/nmeth.f.303.
Carvalho, L., S. Poikane, A. Lyche Solheim, G. Phillips, G. Borics, J. Catalan, C. De Hoyos, S. Drakare, B. J. Dudley, M. Järvinen, C. Laplace-Treyture, K. Maileht, C. McDonald, U. Mischke, J. Moe, G. Morabito, P. Nõges, T. Nõges, I. Ott, A. Pasztaleniec, B. Skjelbred & S. J. Thackeray, 2013. Strength and uncertainty of phytoplankton metrics for assessing eutrophication impacts in lakes. Hydrobiologia 704(1): 127–140. https://doi.org/10.1007/s10750-012-1344-1.
Dai, J., S. Wu, X. Wu, W. Xue, Q. Yang, S. Zhu, F. Wang & D. Chen, 2018. Effects of water diversion from Yangtze River to Lake Taihu on the phytoplankton habitat of the Wangyu River Channel. Water 10(6): 759. https://doi.org/10.3390/w10060759.
De Senerpont Domis, L. N., J. J. Elser, A. S. Gsell, V. L. M. Huszar, B. W. Ibelings, E. Jeppesen, S. Kosten, W. M. Mooij, F. Roland, U. Sommer, E. Van Donk, M. Winder & M. Lürling, 2013. Plankton dynamics under different climatic conditions in space and time. Freshwater Biology 58(3): 463–482. https://doi.org/10.1111/fwb.12053.
Feng, Q., S. Wang, X. Liu & Y. Liu, 2020. Seasonal and spatial variations of phytoplankton communities and correlations with environmental factors in Lake Dianchi. Acta Scientiarum Naturalium Universitatis Pekinensis 56(01): 184–192. https://doi.org/10.13209/j.0479-8023.2019.128.
Giroux, M. S., J. R. Reichman, T. Langknecht, R. M. Burgess & K. T. Ho, 2023. Using eRNA/eDNA metabarcoding to detect community-level impacts of nanoplastic exposure to benthic estuarine ecosystems. Environmental Pollution 338: 122650. https://doi.org/10.1016/j.envpol.2023.122650.
Hering, D., A. Borja, J. I. Jones, D. Pont, P. Boets, A. Bouchez, K. Bruce, S. Drakare, B. Hanfling, M. Kahlert, F. Leese, K. Meissner, P. Mergen, Y. Reyjol, P. Segurado, A. Vogler & M. Kelly, 2018. Implementation options for DNA-based identification into ecological status assessment under the European Water Framework Directive. Water Research 138: 192–205. https://doi.org/10.1016/j.watres.2018.03.003.
Hu, Y., Y. Peng, R. Li, J. Huang, Z. Zheng, S. Hu, Y. Wang & G. Qiu, 2021. Plankton diversity and community characteristics in Danjiangkou Reservoir based on environmental DNA metabarcoding. Journal of Lake Sciences 33(6): 1650–1659. https://doi.org/10.18307/2021.0604.
Ibrahim, A., E. Capo, M. Wessels, I. Martin, A. Meyer, D. Schleheck & L. S. Epp, 2021. Anthropogenic impact on the historical phytoplankton community of Lake Constance reconstructed by multimarker analysis of sediment-core environmental DNA. Molecular Ecology 30(13): 3040–3056. https://doi.org/10.1111/mec.15696.
Jost, L., 2006. Entropy and diversity. Oikos 113: 363–375. https://doi.org/10.1111/j.2006.0030-1299.14714.x.
Kumar, G., J. E. Eble & M. R. Gaither, 2020. A practical guide to sample preservation and pre-PCR processing of aquatic environmental DNA. Molecular Ecology Resources 20(1): 29–39. https://doi.org/10.1111/1755-0998.13107.
Langsley, G., L. A. Amaral-Zettler, E. A. McCliment, H. W. Ducklow & S. M. Huse, 2009. A method for studying protistan diversity using massively parallel sequencing of V9 hypervariable regions of small-subunit ribosomal RNA genes. PLoS ONE 4(7): e6372. https://doi.org/10.1371/journal.pone.0006372.
Legendre, P. & L. Legendre, 2012. Numerical Ecology, 3rd English edition. Elsevier Science BV, Amsterdam.
Li, X. H., W. Z. Liu, S. Zhao, Y. Q. Yang, K. P. Deng & Z. H. Huang, 2013. Risk assessment of phytoplankton invasion of ballast water. Chinese Frontier Health Quarantine 36(2): 118–123. https://doi.org/10.16408/j.1004-9770.2013.02.001.
Li, H. M., H. J. Tang, X. Y. Shi, C. S. Zhang & X. L. Wang, 2014a. Increased nutrient loads from the Changjiang (Yangtze) River have led to increased Harmful Algal Blooms. Harmful Algae 39: 92–101. https://doi.org/10.1016/j.hal.2014.07.002.
Li, X., S. Yang, Y. Zhang, S. Zhao, L. Gao & T. Xu, 2014b. Planktonic algae diversity and its water quality monitoring in Chai River, Baoxiang River and Panlong River, three inflow river of Dianchi Lake. Journal of Yunnan University (natural Science) 6: 950–958. https://doi.org/10.7540/j.ynu.20120744.
Li, F., F. Altermatt, J. Yang, S. An, A. Li & X. Zhang, 2020. Human activities’ fingerprint on multitrophic biodiversity and ecosystem functions across a major river catchment in China. Global Change Biology 26(12): 6867–6879. https://doi.org/10.1111/gcb.15357.
Lin, Y. & Z. Zhao, 2021. Application of environmental DNA technologies in monitoring aquatic invasive species. Asian Journal of Ecotoxicology 16(6): 1–12. https://doi.org/10.7524/AJE.1673-5897.20210122001.
Lin, Y., W. Zhong, X. Zhang, X. Zhou, L. He, J. Lv & Z. Zhao, 2023. Environmental DNA metabarcoding revealed the impacts of anthropogenic activities on phytoplankton diversity in Dianchi Lake and its three inflow rivers. Ecology and Evolution 13(5): e10088. https://doi.org/10.1002/ece3.10088.
Lu, Q. Y., Y. Liu, C. H. Li, X. L. Wei & Y. Liu, 2013. Impacts of alien species invasion on the South China Sea ecosystem and related control strategies. Chinese Journal of Ecology 32(8): 2186–2193. https://doi.org/10.13292/j.1000-4890.2013.0421.
Lv, J., Y. Lin, Z. Zhao & X. Zhou, 2023. eDNA metabarcoding revealed the seasonal and spatial variation of phytoplankton functional groups in the Chai River and their relationship with environmental factors. Journal of Freshwater Ecology 38(1): 2176374. https://doi.org/10.1080/02705060.2023.2176374.
Ma, T., Y. Fan, K. Li, Z. Hu & S. Wu, 2021. Ecological health assessment of main estuaries of Lake Taihu based on phytoplankton index of biotic integrity. Journal of Ecology and Rural Environment 37(4): 501–508. https://doi.org/10.19741/j.issn.1673-4831.2020.0446.
Mao, J., Y. Sun, K. He, G. Kong & Z. Yang, 2017. Study of water environment improvement effect by Niulan River-Dianchi Lake Water Supplement Project in Waihai area of Dianchi Lake. Water Resources Protection 33(2): 47–51. https://doi.org/10.3880/j.issn.1004-6933.2017.02.009.
Ministry of Water Resources of the People’s Republic of China, 1994. Quality Standards for Surface Water Resources, China. SL63-94.
Phan, T., E. P. Caillault & A. Bigand, 2016. Comparative study on supervised learning methods for identifying phytoplankton species. In Paper presented at the 2016 IEEE Sixth International Conference on Communications and Electronics (IEEE ICCE 2016), Ha Long, Vietnam, 2016.
Pu, A. M., B. B. Zhang, P. Jia & Q. G. Wang, 2020. Analysis of exotic phytoplankton species and their invasion routes in Bohai Bay. Journal of Agricultural Resources and Environment 37(4): 477–483. https://doi.org/10.13254/j.jare.2019.0118.
Reynolds, C., C. Reynolds, C. S. Reynolds, C. S. Reynolds, M. Usher, D. Saunders, A. Dobson, R. Peet, P. Adam & H. Birks, 2006. Ecology of Phytoplankton, Cambridge University, New York:
Rivera, S. F., V. Vasselon, S. Jacquet, A. Bouchez, D. Ariztegui & F. Rimet, 2017. Metabarcoding of lake benthic diatoms: from structure assemblages to ecological assessment. Hydrobiologia 807(1): 37–51. https://doi.org/10.1007/s10750-017-3381-2.
Song, L., W. D. Liu, J. Wu, G. J. Song, Y. G. Song, M. Sun & N. B. Wang, 2017. Distribution of the toxic dinoflagellate Stoeckeria algicida in Liaodong Bay. Acta Ecologica Sinica 37(4): 1339–1345. https://doi.org/10.5846/stxb201605241000.
Song, L., J. Wu, G. J. Song, S. J. Dong & Z. S. Wang, 2020. Characteristics of phytoplankton community structure in Liaodong Bay based on environmental DNA technology. Acta Ecologica Sinica 40(17): 6243–6257. https://doi.org/10.5846/stxb201905030893.
Wang, Z. H., J. F. Chen & Y. F. Yang, 2010. Control and management of harmful algal bloom species introduced by ballast water. Marine Environmental Science 29(6): 920–924. https://doi.org/10.3969/j.issn.1007-6336.2010.06.034.
Wang, H., S. Yang, S. Fang, F. Yu, W. Feng & L. Liu, 2016. Canonical correspondence analysis of relationship between characteristics of phytoplankton community and environmental factors in Dianchi Lake. China Environmental Science 36(2): 544–552. https://doi.org/10.3969/j.issn.1000-6923.2016.02.034.
Wang, J. Q., S. P. Wang, Y. Zhang, J. N. Lin, X. Gao, X. M. Zhang & Q. Zhao, 2017. Community structure characteristics of eukaryotic planktonic algae in Liaohe River through high-throughput sequencing. Environmental Science 38(4): 1403–1413. https://doi.org/10.13227/j.hjkx.201609133.
Wei, R., 2016. Water Quality and Ecological System Monitoring and Treatment Evaluation of the Typical Dianchi Urban Rivers. Shanghai Jiao Tong University. https://doi.org/10.27307/d.cnki.gsjtu.2016.003592.
Yang, Q., S. Li, R. Zhu, C. Yang & X. Cheng, 2020. Spatial–temporal difference analysis of water quality in basin of Panlongjiang River in Kunming City. Water Resource and Power 38(12): 45–48.
Yang, J., J. Lv, Q. Liu, F. Nan, B. Li, S. Xie & J. Feng, 2021. Seasonal and spatial patterns of eukaryotic phytoplankton communities in an urban river based on marker gene. Scientific Reports. https://doi.org/10.1038/s41598-021-02183-5.
Yang, F., Q. Xu, Y. Song, X. Zhou, X. Liu, C. Yan & L. Huang, 2022. Evolution trend, governance course and future suggestions of water ecological environment in Dianchi Lake Basin. Journal of Environmental Engineering Technology 12(03): 633–643. https://doi.org/10.12153/j.issn.1674-991X.20210248.
Yue, Y., Z. Fu, X. Chen, M. Yang, B. Wang & F. Wang, 2021. Community structure and diversity phytoplankton in the Wujiang River Basin reservoir. Journal of Shanghai University (natural Science Edition) 27(1): 97–105. https://doi.org/10.12066/j.issn.1007-2861.2085.
Zeng, L., J. Wen, B. Huang, Y. Yang, Z. Huang, F. Zeng, H. Fang & H. Du, 2024. Environmental DNA metabarcoding reveals the effect of environmental selection on phytoplankton community structure along a subtropical river. Environmental Research 243: 117708. https://doi.org/10.1016/j.envres.2023.117708.
Zhang, X., 2016. The Impacts of Characteristic Pollution Sources on the Water Quality and Plankton Communities of Inflowing Rivers in Dianchi Lake Basin, Shanghai Jiao Tong University, Shanghai:
Zhang, R. & B. Wu, 2020. Environmental impacts of high water turbidity of the Niulan River to Dianchi Lake Water Diversion Project. Journal of Environmental Engineering 146(1): 05019006. https://doi.org/10.1061/(asce)ee.1943-7870.0001623.
Zhang, S., H. Xu, Y. Zhang, Y. Li, J. Wei & H. Pei, 2020. Variation of phytoplankton communities and their driving factors along a disturbed temperate river-to-sea ecosystem. Ecological Indicators 118: 106776. https://doi.org/10.1016/j.ecolind.2020.106776.
Zhang, L., S. Xu, Z. Zhao, X. Zhou, Q. Feng, J. Yang, F. Li, Z. Wang & X. Zhang, 2021. Precision of eDNA metabarcoding technology for biodiversity monitoring of eukaryotic phytoplankton in lakes. Environmental Science 42(02): 796–807. https://doi.org/10.13227/j.hjkx.202007236.
Zhang, C. X., Y. X. He, X. M. Guo, H. Q. Meng, L. Wu, J. Huang, W. G. Li & T. Q. Zhao, 2022a. Community structure variations and driving factors of eukaryotes phytoplankton in Danjiangkou Reservoir in summer and winter. Journal of Henan Polytechnic University (natural Science) 41(6): 110–122. https://doi.org/10.16186/j.cnki.1673-9787.2022050046.
Zhang, L., J. Yang, Y. Zhang, J. Shi, H. Yu & X. Zhang, 2022b. eDNA biomonitoring revealed the ecological effects of water diversion projects between Yangtze River and Tai Lake. Water Research 210: 117994. https://doi.org/10.1016/j.watres.2021.117994.
Zhang, Y., H. Yu, J. Liu & Y. Guo, 2024. Analysis of water quality and the response of phytoplankton in the low-temperature environment of Majiagou Urban River. China. Heliyon 10(4): e25955. https://doi.org/10.1016/j.heliyon.2024.e25955.
Funding
This work was supported by the Basic Research Program-Youth Program of Science and Technology Department in Yunnan Province (No. 202201AU070026) and Kunming University Talent Program (No. YJL23015), Academician Workstation for Ecological Health Assessment and Rehabilitation of Rivers and Lakes in Kunming, Key Laboratory of River and Lake Ecological Health Assessment and Restoration in Yunnan Province, International Joint Innovation Team for Yunnan Plateau Lakes and Great Lakes of North America and Yunnan Collaborative Innovation Center for Plateau Lake Ecology and Environmental Health which are sponsored by Yunnan Provincial Education Department and “Ten Thousand Plan” Youth Top-Notch Talents Special Project.
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Lin, Y., Shen, L., Xu, S. et al. Impacts of anthropogenic activities on eukaryotic phytoplankton communities in Panlong River via eDNA biomonitoring. Hydrobiologia (2024). https://doi.org/10.1007/s10750-024-05555-w
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DOI: https://doi.org/10.1007/s10750-024-05555-w