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Estimating Cyanobacteria Community Dynamics and its Relationship with Environmental Factors

Author

Listed:
  • Wenhuai Luo

    (Shenzhen Key Laboratory of Marine Bioresource and Eco-environmental Science, Shenzhen Engineering Laboratory of Marine Algal Biotechnology, College of Life Science, Shenzhen University, Shenzhen 518060, China
    These authors contributed equally to this work.)

  • Huirong Chen

    (Shenzhen Key Laboratory of Marine Bioresource and Eco-environmental Science, Shenzhen Engineering Laboratory of Marine Algal Biotechnology, College of Life Science, Shenzhen University, Shenzhen 518060, China
    These authors contributed equally to this work.)

  • Anping Lei

    (Shenzhen Key Laboratory of Marine Bioresource and Eco-environmental Science, Shenzhen Engineering Laboratory of Marine Algal Biotechnology, College of Life Science, Shenzhen University, Shenzhen 518060, China)

  • Jun Lu

    (Shenzhen Key Laboratory of Marine Bioresource and Eco-environmental Science, Shenzhen Engineering Laboratory of Marine Algal Biotechnology, College of Life Science, Shenzhen University, Shenzhen 518060, China
    Institute for Applied Ecology New Zealand, School of Applied Sciences, and School of Interprofessional Health Studies, Faculty of Health and Environmental Sciences, and Institute of Biomedical Technology, Auckland University of Technology, 34 St Paul Street, Auckland 1142, New Zealand)

  • Zhangli Hu

    (Shenzhen Key Laboratory of Marine Bioresource and Eco-environmental Science, Shenzhen Engineering Laboratory of Marine Algal Biotechnology, College of Life Science, Shenzhen University, Shenzhen 518060, China)

Abstract

The cyanobacteria community dynamics in two eutrophic freshwater bodies (Tiegang Reservoir and Shiyan Reservoir) was studied with both a traditional microscopic counting method and a PCR-DGGE genotyping method. Results showed that cyanobacterium Phormidium tenue was the predominant species; twenty-six cyanobacteria species were identified in water samples collected from the two reservoirs, among which fourteen were identified with the morphological method and sixteen with the PCR-DGGE method . The cyanobacteria community composition analysis showed a seasonal fluctuation from July to December. The cyanobacteria population peaked in August in both reservoirs, with cell abundances of 3.78 × 10 8 cells L -1 and 1.92 × 10 8 cells L -1 in the Tiegang and Shiyan reservoirs, respectively. Canonical Correspondence Analysis (CCA) was applied to further investigate the correlation between cyanobacteria community dynamics and environmental factors. The result indicated that the cyanobacteria community dynamics was mostly correlated with pH, temperature and total nitrogen. This study demonstrated that data obtained from PCR-DGGE combined with a traditional morphological method could reflect cyanobacteria community dynamics and its correlation with environmental factors in eutrophic freshwater bodies.

Suggested Citation

  • Wenhuai Luo & Huirong Chen & Anping Lei & Jun Lu & Zhangli Hu, 2014. "Estimating Cyanobacteria Community Dynamics and its Relationship with Environmental Factors," IJERPH, MDPI, vol. 11(1), pages 1-20, January.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:1:p:1141-1160:d:32251
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    Cited by:

    1. Jiancheng Li & Cheng Chen & Jun Lu & Anping Lei & Zhangli Hu, 2016. "Temporal Patterns in Bacterioplankton Community Composition in Three Reservoirs of Similar Trophic Status in Shenzhen, China," IJERPH, MDPI, vol. 13(6), pages 1-14, June.

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