Microbial production and consumption of dissolved organic matter in glacial ecosystems on the Tibetan Plateau

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  • Lei Zhou, Taihu Laboratory for Lake Ecosystem Research, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, University of Chinese Academy of Sciences
  • ,
  • Yongqiang Zhou, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, University of Chinese Academy of Sciences
  • ,
  • Yang Hu, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, University of Chinese Academy of Sciences
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  • Jian Cai, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, University of Chinese Academy of Sciences
  • ,
  • Xin Liu, LTD
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  • Chengrong Bai, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, University of Chinese Academy of Sciences
  • ,
  • Xiangming Tang, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, University of Chinese Academy of Sciences
  • ,
  • Yunlin Zhang, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, University of Chinese Academy of Sciences
  • ,
  • Kyoung Soon Jang, Korea Basic Science Institute
  • ,
  • Robert G.M. Spencer, Florida State University
  • ,
  • Erik Jeppesen

Dissolved organic matter (DOM) from alpine glaciers is highly biolabile and plays a vital role in the biogeochemical cycle of meltwater-impacted environments. To unravel the composition and interactions of DOM with the bacterial community in glacier and glacier meltwater, we conducted sampling of two different Tibetan Plateau glaciers and carried out laboratory bio-incubation experiments. The field data revealed that four protein-like components accounted for 86.0 ± 11.9% of the total variability of all six fluorescence components, which suggests a predominantly microbial source of glacial chromophoric DOM (CDOM). The ice and meltwater samples displayed major contributions of molecular formulae associated with lipids and proteins (i.e. high H/C) as revealed by ultrahigh resolution mass spectrometry. Multiple linear regression models revealed that the abundant phyla explain 64.2%, 61.3%, and 65.0% of the variability of microbial and terrestrial humic-like, and protein-like components, respectively. Correlation-based network analysis determined the metabolic niches of the bacterial community members associated with different fluorescence types in biogeochemical processes. Furthermore, laboratory DOM bio-incubation experiments confirmed that sub-components of the CDOM pool differentially participate in bacterial metabolism. We therefore conclude that the bacterial community interacted closely with the compositional variability of DOM in the investigated alpine glacial environments by both producing and consuming of DOM.

OriginalsprogEngelsk
TidsskriftWater Research
Vol/bind160
Sider (fra-til)18-28
Antal sider11
ISSN0043-1354
DOI
StatusUdgivet - 1 sep. 2019

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