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估算蓝藻群落动态及其与环境因素的关系。

Estimating cyanobacteria community dynamics and its relationship with environmental factors.

作者信息

Luo Wenhuai, Chen Huirong, Lei Anping, Lu Jun, Hu Zhangli

机构信息

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.

出版信息

Int J Environ Res Public Health. 2014 Jan 20;11(1):1141-60. doi: 10.3390/ijerph110101141.

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.

摘要

采用传统显微镜计数法和PCR-DGGE基因分型法,对两个富营养化淡水水体(铁岗水库和石岩水库)中的蓝藻群落动态进行了研究。结果表明,细鞘丝藻是优势种;在从两个水库采集的水样中鉴定出26种蓝藻,其中14种通过形态学方法鉴定,16种通过PCR-DGGE方法鉴定。蓝藻群落组成分析显示,7月至12月存在季节性波动。两个水库的蓝藻数量均在8月达到峰值,铁岗水库和石岩水库的细胞丰度分别为3.78×10⁸个细胞/L和1.92×10⁸个细胞/L。应用典范对应分析(CCA)进一步研究蓝藻群落动态与环境因子之间的相关性。结果表明,蓝藻群落动态主要与pH值、温度和总氮相关。本研究表明,PCR-DGGE结合传统形态学方法获得的数据能够反映富营养化淡水水体中蓝藻群落动态及其与环境因子的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1b1/3924496/52d38ea8b660/ijerph-11-01141-g001.jpg

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