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Water masses influence bacterioplankton community structure in summer Kongsfjorden

Extremophiles volume 24, pages 107–120 (2020)Cite this article

Abstract

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.

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Abbreviations

ANOVA:

Analysis of variance

Chl a :

Chlorophyll a

DCA:

Detrended correspondence analysis

OTUs:

Operational taxonomic units

PCR:

Polymerase chain reaction

PCR-DGGE:

Polymerase chain reaction-denaturing gel gradient electrophoresis

pRDA:

Partial redundancy analysis

RDA:

Redundancy analysis

SW:

Surface water

TAW:

Transformed atlantic water

TIW:

Transformed intermediate water

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Acknowledgements

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 (https://birds.chinare.org.cn), 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).

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Authors and Affiliations

  1. Key Laboratory for Polar Science SOA, Polar Research Institute of China, No. 451 JinQiao Road, Pudong Avenue, Shanghai, 200136, China

    Shunan Cao, Fang Zhang & Jianfeng He

  2. Key Laboratory of Marine Ecosystem and Biogeochemistry, State Oceanic Administration, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China

    Zhongqiang Ji

  3. School of Life Science and Technology, Harbin Institute of Technology, 2 Yikuang Street, Harbin, 150080, China

    Qiming Zhou

  4. ChosenMed Technology (Beijing) Company Limited, Jinghai Industrial Park, Economic and Technological Development Area, Beijing, 100176, China

    Qiming Zhou

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  1. Shunan Cao
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Correspondence to Jianfeng He.

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Cao, S., Zhang, F., He, J. et al. Water masses influence bacterioplankton community structure in summer Kongsfjorden. Extremophiles 24, 107–120 (2020). https://doi.org/10.1007/s00792-019-01139-y

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Keywords

  • Correlation
  • Bacterioplankton genus
  • Environmental parameters
  • Pearson
  • Spearman