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Structure of Benthic Microbial Communities in the Northeastern Part of the Barents Sea.
Stroeva, Aleksandra R; Klyukina, Alexandra A; Vidishcheva, Olesya N; Poludetkina, Elena N; Solovyeva, Marina A; Pyrkin, Vladislav O; Gavirova, Liliya A; Birkeland, Nils-Kåre; Akhmanov, Grigorii G; Bonch-Osmolovskaya, Elizaveta A; Merkel, Alexander Y.
  • Stroeva AR; Lomonosov Moscow State University, 119234 Moscow, Russia.
  • Klyukina AA; Winogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia.
  • Vidishcheva ON; Lomonosov Moscow State University, 119234 Moscow, Russia.
  • Poludetkina EN; Lomonosov Moscow State University, 119234 Moscow, Russia.
  • Solovyeva MA; Lomonosov Moscow State University, 119234 Moscow, Russia.
  • Pyrkin VO; Lomonosov Moscow State University, 119234 Moscow, Russia.
  • Gavirova LA; Lomonosov Moscow State University, 119234 Moscow, Russia.
  • Birkeland NK; Department of Biological Sciences, University of Bergen, P.O. Box 7803, NO-5020 Bergen, Norway.
  • Akhmanov GG; Lomonosov Moscow State University, 119234 Moscow, Russia.
  • Bonch-Osmolovskaya EA; Lomonosov Moscow State University, 119234 Moscow, Russia.
  • Merkel AY; Winogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia.
Microorganisms ; 12(2)2024 Feb 15.
Article en En | MEDLINE | ID: mdl-38399791
ABSTRACT
The Barents Sea shelf is one of the most economically promising regions in the Arctic in terms of its resources and geographic location. However, benthic microbial communities of the northeastern Barents Sea are still barely studied. Here, we present a detailed systematic description of the structures of microbial communities located in the sediments and bottom water of the northeastern Barents Sea based on 16S rRNA profiling and a qPCR assessment of the total prokaryotic abundance in 177 samples. Beta- and alpha-diversity analyses revealed a clear difference between the microbial communities of diverse sediment layers and bottom-water fractions. We identified 101 microbial taxa whose representatives had statistically reliable distribution patterns between these ecotopes. Analysis of the correlation between microbial community structure and geological data yielded a number of important results-correlations were found between the abundance of individual microbial taxa and bottom relief, thickness of marine sediments, presence of hydrotrolite interlayers, and the values of pH and Eh. We also demonstrated that a relatively high abundance of prokaryotes in sediments can be caused by the proliferation of Deltaproteobacteria representatives, in particular, sulfate and iron reducers.
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