Seasonal variation of plankton communities influenced by environmental factors in an artificial lake |
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Authors: | Xuemei?Li Email author" target="_blank">Yuhe?YuEmail author Email author" target="_blank">Tanglin?ZhangEmail author Weisong?Feng Hongyi?Ao Qingyun?Yan |
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Institution: | 1 Key Laboratory of Biodiversity and Conservation of Aquatic Organisms, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China 2 Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract: | We evaluated the seasonal variation in plankton community composition in an artificial lake. We conducted microscopic analysis
and denaturing gradient gel electrophoresis (DGGE) of PCR-amplified partial 16S rRNA and 18S rRNA genes to characterize the
plankton community. The clustering of unweighted pair group method with arithmetic mean (UPGMA) was then used to investigate
the similarity of these plankton communities. DGGE fingerprinting revealed that samples collected at the different sites within
a season shared high similarity and were generally grouped together. In contrast, we did not observe any seasonal variation
based on microscopic analysis. Redundancy analysis (RDA) of the plankton operational taxonomic units (OTUs) in relation to
environmental factors revealed that transparency was negatively correlated with the first axis (R=−0.931), and temperature and total phosphorus (TP) were positively correlated with the first axis (R=0.736 and R=0.660, respectively). In conclusion, plankton communities in the artificial lake exhibited significant seasonal variation.
Transparency, phosphorus and temperature appear to be the major factors driving the differences in plankton composition. |
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Keywords: | plankton community PCR-DGGE redundancy analysis community diversity artificial lake |
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