Spatial heterogeneity in a deep artificial lake plankton community revealed by PCR-DGGE fingerprinting

Qiang Li; Yue Zhao; Xu Zhang; Yuquan Wei; Linlin Qiu; Zimin Wei; Fuheng Li

doi:10.1007/s00343-015-4184-9

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Spatial heterogeneity in a deep artificial lake plankton community revealed by PCR-DGGE fingerprinting

OriginalPaper | Updated：2023-05-16

- Spatial heterogeneity in a deep artificial lake plankton community revealed by PCR-DGGE fingerprinting
- Spatial heterogeneity in a deep artificial lake plankton community revealed by PCR-DGGE fingerprinting
- 海洋湖沼学报（英文） 2015年33卷第3期页码：624-635
- Affiliations：
  
  College of Life Science Northeast Agricultural University
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (No. 51178090), the National Key Technology R&D Program of China (No. 2012BAJ21B02-02), and the National Water Pollution Control and Management Technology Major Projects (No. 2009ZX07106-001)
- DOI：10.1007/s00343-015-4184-9
  中图分类号：
- 网络首发：2015-03-04，
  
  纸质出版：2015
- Accepted：
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Spatial heterogeneity in a deep artificial lake plankton community revealed by PCR-DGGE fingerprinting[J]. 海洋湖沼学报（英文）, 2015,33(3):624-635.

Li, Q., Zhao, Y., Zhang, X. et al. Spatial heterogeneity in a deep artificial lake plankton community revealed by PCR-DGGE fingerprinting., Chin. J. Ocean. Limnol. 33, 624–635 (2015). https://doi.org/10.1007/s00343-015-4184-9
Spatial heterogeneity in a deep artificial lake plankton community revealed by PCR-DGGE fingerprinting[J]. 海洋湖沼学报（英文）, 2015,33(3):624-635. DOI： 10.1007/s00343-015-4184-9.

Li, Q., Zhao, Y., Zhang, X. et al. Spatial heterogeneity in a deep artificial lake plankton community revealed by PCR-DGGE fingerprinting., Chin. J. Ocean. Limnol. 33, 624–635 (2015). https://doi.org/10.1007/s00343-015-4184-9 DOI：

摘要

Abstract

To explore the spatial heterogeneity of plankton communities in a deep artificial lake (Songhua Lake

China)

samples were collected at seven sites. Samples were investigated by denaturing gradient gel electrophoresis (DGGE) analysis of the PCR-amplified 16S and 18S rRNA genes and specific bands were sequenced. Cluster analysis of the DGGE profiles revealed that all of the samples grouped into two distinct clusters

in accordance with sampling site; while in each cluster

the divergence of sub-clusters correlated with sampling depth. Sequence analysis of selected dominant DGGE bands revealed that most sequenced phylotypes (84%) exhibited ≥97% similarity to the closest sequences in GenBank

and were affiliated with ten common freshwater plankton phyla (Proteobacteria

Actinobacteria

Bacteroidetes

Cyanobacteria

Bacillariophyta

Pyrrophyta

Cryptophyta

Ciliophora

Stramenopiles

and Rotifera). Several of these groups are also found worldwide

indicating the cosmopolitan distribution of the phylotypes. The relationships between DGGE patterns and environmental factors were analyzed by redundancy analysis (RDA). The results suggested that

total nitrogen

nitrate

nitrite

ammonia

and CODMn concentrations

and water temperature were strongly correlated with the variation in plankton composition.

关键词

Keywords

references

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