Estimating Cyanobacteria Community Dynamics and its Relationship with Environmental Factors
1
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
2
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
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Int. J. Environ. Res. Public Health 2014, 11(1), 1141-1160; https://doi.org/10.3390/ijerph110101141
Received: 31 October 2013 / Revised: 7 January 2014 / Accepted: 8 January 2014 / Published: 20 January 2014
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 × 108 cells L-1 and 1.92 × 108 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.
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MDPI and ACS Style
Luo, W.; Chen, H.; Lei, A.; Lu, J.; Hu, Z. Estimating Cyanobacteria Community Dynamics and its Relationship with Environmental Factors. Int. J. Environ. Res. Public Health 2014, 11, 1141-1160.
AMA Style
Luo W, Chen H, Lei A, Lu J, Hu Z. Estimating Cyanobacteria Community Dynamics and its Relationship with Environmental Factors. International Journal of Environmental Research and Public Health. 2014; 11(1):1141-1160.
Chicago/Turabian StyleLuo, Wenhuai; Chen, Huirong; Lei, Anping; Lu, Jun; Hu, Zhangli. 2014. "Estimating Cyanobacteria Community Dynamics and its Relationship with Environmental Factors" Int. J. Environ. Res. Public Health 11, no. 1: 1141-1160.
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