IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i17p6356-d407016.html
   My bibliography  Save this article

Revealing Cryptic Changes of Cyanobacterial Community Structure in Two Eutrophic Lakes Using eDNA Sequencing

Author

Listed:
  • Yongguang Jiang

    (Department of Biological Sciences and Technology, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China)

  • Peng Xiao

    (Aquatic Ecohealth Group, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

  • Gongliang Yu

    (Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China)

  • Gaofei Song

    (Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China)

  • Renhui Li

    (Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China)

Abstract

Harmful cyanobacterial blooms pose a risk to human health worldwide. To enhance understanding on the bloom-forming mechanism, the spatiotemporal changes in cyanobacterial diversity and composition in two eutrophic lakes (Erhai Lake and Lushui Reservoir) of China were investigated from 2010 to 2011 by high-throughput sequencing of environmental DNA. For each sample, 118 to 260 cpcBA -IGS operational taxonomic units (OTUs) were obtained. Fifty-two abundant OTUs were identified, which made up 95.2% of the total sequences and were clustered into nine cyanobacterial groups. Although the cyanobacterial communities of both lakes were mainly dominated by Microcystis , Erhai Lake had a higher cyanobacterial diversity. The abundance of mixed Nostocales species was lower than that of Microcystis , whereas Phormidium and Synechococcus were opportunistically dominant. The correlation between the occurrence frequency and relative abundance of OTUs was poorly fitted by the Sloan neutral model. Deterministic processes such as phosphorus availability were shown to have significant effects on the cyanobacterial community structure in Erhai Lake. In summary, the Microcystis -dominated cyanobacterial community was mainly affected by the deterministic process. Opportunistically dominant species have the potential to replace Microcystis and form blooms in eutrophic lakes, indicating the necessity to monitor these species for drinking water safety.

Suggested Citation

  • Yongguang Jiang & Peng Xiao & Gongliang Yu & Gaofei Song & Renhui Li, 2020. "Revealing Cryptic Changes of Cyanobacterial Community Structure in Two Eutrophic Lakes Using eDNA Sequencing," IJERPH, MDPI, vol. 17(17), pages 1-14, September.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6356-:d:407016
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/17/6356/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/17/6356/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rui Ye & Kun Shan & Hailong Gao & Ruibin Zhang & Wen Xiong & Yulei Wang & Xin Qian, 2014. "Spatio-Temporal Distribution Patterns in Environmental Factors, Chlorophyll-a and Microcystins in a Large Shallow Lake, Lake Taihu, China," IJERPH, MDPI, vol. 11(5), pages 1-15, May.
    2. Magdalena Toporowska & Hanna Mazur-Marzec & Barbara Pawlik-Skowrońska, 2020. "The Effects of Cyanobacterial Bloom Extracts on the Biomass, Chl-a, MC and Other Oligopeptides Contents in a Natural Planktothrix agardhii Population," IJERPH, MDPI, vol. 17(8), pages 1-19, April.
    3. Jeff C. Ho & Anna M. Michalak & Nima Pahlevan, 2019. "Widespread global increase in intense lake phytoplankton blooms since the 1980s," Nature, Nature, vol. 574(7780), pages 667-670, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bo Qin & Rong Wang & Xiangdong Yang & Qinghui Zhang & Jianan Zheng, 2023. "Reconstruction and Trends of Total Phosphorus in Shallow Lakes in Eastern China in The Past Century," Sustainability, MDPI, vol. 15(14), pages 1-15, July.
    2. Magdalena Toporowska, 2022. "Degradation of Three Microcystin Variants in the Presence of the Macrophyte Spirodela polyrhiza and the Associated Microbial Communities," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    3. Bloem, Jeffrey R., 2023. "Technology Adoption, Agricultural Productivity, and Deforestation," 2023 Annual Meeting, July 23-25, Washington D.C. 335506, Agricultural and Applied Economics Association.
    4. Irina Gabriela Cara & Denis Țopa & Ioan Puiu & Gerard Jităreanu, 2022. "Biochar a Promising Strategy for Pesticide-Contaminated Soils," Agriculture, MDPI, vol. 12(10), pages 1-21, September.
    5. Ling Zheng & Yang Liu & Renhui Li & Yiming Yang & Yongguang Jiang, 2023. "Recent Advances in the Ecology of Bloom-Forming Raphidiopsis ( Cylindrospermopsis ) raciborskii : Expansion in China, Intraspecific Heterogeneity and Critical Factors for Invasion," IJERPH, MDPI, vol. 20(3), pages 1-13, January.
    6. Jian Zhou & Peter R. Leavitt & Kevin C. Rose & Xiwen Wang & Yibo Zhang & Kun Shi & Boqiang Qin, 2023. "Controls of thermal response of temperate lakes to atmospheric warming," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    7. Charles A. Taylor & Geoffrey Heal, 2021. "Fertilizer and Algal Blooms: A Satellite Approach to Assessing Water Quality," NBER Chapters, in: Risks in Agricultural Supply Chains, National Bureau of Economic Research, Inc.
    8. Ratté-Fortin, Claudie & Plante, Jean-François & Rousseau, Alain N. & Chokmani, Karem, 2023. "Parametric versus nonparametric machine learning modelling for conditional density estimation of natural events: Application to harmful algal blooms," Ecological Modelling, Elsevier, vol. 482(C).
    9. Alexander E. Cagle & Alona Armstrong & Giles Exley & Steven M. Grodsky & Jordan Macknick & John Sherwin & Rebecca R. Hernandez, 2020. "The Land Sparing, Water Surface Use Efficiency, and Water Surface Transformation of Floating Photovoltaic Solar Energy Installations," Sustainability, MDPI, vol. 12(19), pages 1-22, October.
    10. Bai, Jing & Zhao, Jian & Zhang, Zhenyu & Tian, Ziqiang, 2022. "Assessment and a review of research on surface water quality modeling," Ecological Modelling, Elsevier, vol. 466(C).
    11. Enrique Cervantes-Astorga & Oscar Aguilar-Juárez & Danay Carrillo-Nieves & Misael Sebastián Gradilla-Hernández, 2021. "A GIS Methodology to Determine the Critical Regions for Mitigating Eutrophication in Large Territories: The Case of Jalisco, Mexico," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    12. Mariano Bresciani & Claudia Giardino & Alice Fabbretto & Andrea Pellegrino & Salvatore Mangano & Gary Free & Monica Pinardi, 2022. "Application of New Hyperspectral Sensors in the Remote Sensing of Aquatic Ecosystem Health: Exploiting PRISMA and DESIS for Four Italian Lakes," Resources, MDPI, vol. 11(2), pages 1-17, January.
    13. Jiancai Deng & Fang Chen & Weiping Hu & Xin Lu & Bin Xu & David P. Hamilton, 2019. "Variations in the Distribution of Chl- a and Simulation Using a Multiple Regression Model," IJERPH, MDPI, vol. 16(22), pages 1-16, November.
    14. Changchun Peng & Zhijun Xie & Xing Jin, 2024. "Using Ensemble Learning for Remote Sensing Inversion of Water Quality Parameters in Poyang Lake," Sustainability, MDPI, vol. 16(8), pages 1-19, April.
    15. Konstantinos Metaxoglou & Aaron Smith, 2022. "Nutrient Pollution and US Agriculture: Causal Effects, Integrated Assessment, and Implications of Climate Change," NBER Chapters, in: American Agriculture, Water Resources, and Climate Change, pages 297-341, National Bureau of Economic Research, Inc.
    16. Ratté-Fortin, Claudie & Chokmani, Karem & El Alem, Anas & Laurion, Isabelle, 2022. "A regional model to predict the occurrence of natural events: Application to phytoplankton blooms in continental waterbodies," Ecological Modelling, Elsevier, vol. 473(C).
    17. Liao, Tiancai, 2022. "The impact of plankton body size on phytoplankton-zooplankton dynamics in the absence and presence of stochastic environmental fluctuation," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    18. Kevin C. Rose & Britta Bierwagen & Scott D. Bridgham & Daren M. Carlisle & Charles P. Hawkins & N. LeRoy Poff & Jordan S. Read & Jason R. Rohr & Jasmine E. Saros & Craig E. Williamson, 2023. "Indicators of the effects of climate change on freshwater ecosystems," Climatic Change, Springer, vol. 176(3), pages 1-20, March.
    19. Jingtai Li & Yao Liu & Siying Xie & Min Li & Li Chen & Cuiling Wu & Dandan Yan & Zhaoqing Luan, 2022. "Landsat-Satellite-Based Analysis of Long-Term Temporal Spatial Dynamics of Cyanobacterial Blooms: A Case Study in Taihu Lake," Land, MDPI, vol. 11(12), pages 1-19, December.
    20. Wu, Haihua & Liang, Cong & Zhang, Chaofan & Chang, Haixing & Zhang, Xianming & Zhang, Yuanbo & Zhong, Nianbing & Xu, Yunlan & Zhong, Dengjie & He, Xuefeng & Zhang, Lei & Ho, Shih-Hsin, 2022. "Mechanisms and enhancements on harmful algal blooms conversion to bioenergy mediated with dual-functional chitosan," Applied Energy, Elsevier, vol. 327(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6356-:d:407016. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.