Seasonal variation of plankton communities influenced by environmental factors in an artificial lake

Xuemei Li; Yuhe Yu; Tanglin Zhang; Weisong Feng; Hongyi Ao; Qingyun Yan

doi:10.1007/s00343-012-1148-1

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Seasonal variation of plankton communities influenced by environmental factors in an artificial lake

OriginalPaper | Updated：2023-05-16

- Seasonal variation of plankton communities influenced by environmental factors in an artificial lake
- Seasonal variation of plankton communities influenced by environmental factors in an artificial lake
- 海洋湖沼学报（英文） 2012年30卷第3期页码：397-403
- Affiliations：
  
  1. Key Laboratory of Biodiversity and Conservation of Aquatic Organisms Institute of Hydrobiology Chinese Academy of Sciences
  2. Graduate University of Chinese Academy of Sciences
- Author bio：
- Funds：
  
  Supported by the National Basic Research Program of China (973 Program) (No. 2007CB109205), and the National Natural Science Foundation of China (No. 30970553)
- DOI：10.1007/s00343-012-1148-1
  中图分类号：
- 网络首发：2011-09-13，
  
  纸质出版：2012
- Accepted：
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Seasonal variation of plankton communities influenced by environmental factors in an artificial lake[J]. 海洋湖沼学报（英文）, 2012,30(3):397-403.

Li, X., Yu, Y., Zhang, T. et al. Seasonal variation of plankton communities influenced by environmental factors in an artificial lake., Chin. J. Ocean. Limnol. 30, 397–403 (2012). https://doi.org/10.1007/s00343-012-1148-1
Seasonal variation of plankton communities influenced by environmental factors in an artificial lake[J]. 海洋湖沼学报（英文）, 2012,30(3):397-403. DOI： 10.1007/s00343-012-1148-1.

Li, X., Yu, Y., Zhang, T. et al. Seasonal variation of plankton communities influenced by environmental factors in an artificial lake., Chin. J. Ocean. Limnol. 30, 397–403 (2012). https://doi.org/10.1007/s00343-012-1148-1 DOI：

摘要

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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references

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