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Driving factors for the seasonal succession of cyanobacterial composition i n Chenghai a plateau lake(PDF)

Chinese Journal of Applied & Environmental Biology[ISSN:1006-687X/CN:51-1482/Q]

Issue:
2020 06
Page:
1-9
Research Field:
Articles
Publishing date:

Info

Title:
Driving factors for the seasonal succession of cyanobacterial composition i n Chenghai a plateau lake
Author(s):
LIU Huacong1 WANG Qiaojuan2 MAO Guannan2 CHEN Junwen3 SONG Yongjun1 DENG Le1 BAI Yaohui2** & LIU Huijuan 3
1 School of Environmental Science and Engineering, Guilin University of Technology , Guilin 541004, China
2 Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100089, China
3 School of Environment, Tsinghua University , Beijing 100089, China
Keywords:
plateau la ke cyanobacterial bloom high-throughput sequencing community structure network analysis
CLC:
-
PACS:
DOI:
10.19675/j.cnki.1006-687x.2019.11040
DocumentCode:

Abstract:
Cyanobacteria are commonly associated with eutrophic lakes, where they often form blooms and produce toxins. However, knowledge on the cyanobacterial composition of plateau lake remains limited. To characterize the seasonal heterogeneity of cyanobacteria blooms, high-throughput sequencing and network analysis were adopted to determine the dynamic variation of planktonic cyanobacterial community. 16S rRNA sequencing revealed high diversity and variable dominance of bloom-forming cyanobacteria in plateau Chenghai lakes. Microcystis and Synechococcus were the most abundant genera in March and June, respectively; the Unclassified Pseudanabaenaceae became the most abundant genus in September while the Planktothrix dominated in December. The redundancy analysis showed that the change of cyanobacterial composition was significantly correlated with water temperature, pH, dissolved oxygen and transparency (P < 0.05); but weakly correlated with nitrogen and phosphorus in Chenghai Lake. Network analysis demonstrated significant interaction among bloom-forming cyanobacteria. This study indicated that seasonal features (water temperature and pH) and biological interaction were the significant factors in driving cyanobacterial community structure.

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Last Update: 2020-03-10