Water masses influence bacterioplankton community structure in summer Kongsfjorden

  • Shunan Cao
  • Fang Zhang
  • Jianfeng HeEmail author
  • Zhongqiang Ji
  • Qiming Zhou
Original Paper


To ascertain the saying “Everything is everywhere, but the environment selects”, it was imperative to find out the main factor influencing bacterioplankton composition at genus level of Kongsfjorden where was influenced both by glacier melting water and Atlantic water. Thus, bacterioplankton diversity was investigated using pyrosequencing. In addition, nutrients, chlorophyll a, in situ temperature and salinity were measured. There were seventeen of 33 identified genera with relative abundance > 0.1%. Redundancy analysis showed that 73.02% of bacterioplankton community variance could be explained by environmental parameters. Furthermore, most of the abundant genera demonstrated significant correlation with environment parameters revealed by correlation analysis. Moreover, phosphate, nitrate and Chl a concentration, and the abundance of top nine identified genera varied with water mass significantly as shown by analysis of variance. Our results supported the notion that environmental factors, especially water mass had significant effect on bacterioplankton distribution at genus level. Considering the high sensitivity to environmental change and low error rate in identification, bacterioplankton at genus level could be potential bio-markers for monitoring environmental changes.


Correlation Bacterioplankton genus Environmental parameters Pearson Spearman 



Analysis of variance

Chl a

Chlorophyll a


Detrended correspondence analysis


Operational taxonomic units


Polymerase chain reaction


Polymerase chain reaction-denaturing gel gradient electrophoresis


Partial redundancy analysis


Redundancy analysis


Surface water


Transformed atlantic water


Transformed intermediate water



We give our thanks to all the members of Chinese Arctic Expedition 2012. This work was supported by the Chinese Polar Environment Comprehensive Investigation & Assessment Programs [CHNIARE-2011–2015], the National Natural Science Foundation of China [41206189 and 41476168], and Shanghai Natural Science Foundation [16ZR1439800]. Samples information and data were issued by the Resource-sharing Platform of Polar Samples (, which was established by one of the National Science & Technology Infrastructures Polar Research Institute of China (PRIC) and Chinese National Arctic & Antarctic Data Centre (CN-NADC).

Supplementary material

792_2019_1139_MOESM1_ESM.docx (590 kb)
Supplementary file1 (DOCX 590 kb)
Supplementary file2 (DOCX 75 kb)


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Copyright information

© Springer Japan KK, part of Springer Nature 2019

Authors and Affiliations

  • Shunan Cao
    • 1
  • Fang Zhang
    • 1
  • Jianfeng He
    • 1
    Email author
  • Zhongqiang Ji
    • 2
  • Qiming Zhou
    • 3
    • 4
  1. 1.Key Laboratory for Polar Science SOAPolar Research Institute of ChinaShanghaiChina
  2. 2.Key Laboratory of Marine Ecosystem and Biogeochemistry, State Oceanic Administration, Second Institute of OceanographyMinistry of Natural ResourcesHangzhouChina
  3. 3.School of Life Science and TechnologyHarbin Institute of TechnologyHarbinChina
  4. 4.ChosenMed Technology (Beijing) Company LimitedBeijingChina

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