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Journal Article

Short-term dynamics of north sea bacterioplankton-dissolved organic matter coherence on molecular level

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Koester,  Irina
ICBM MPI Bridging Group for Marine Geochemistry, Max Planck Institute for Marine Microbiology, Max Planck Society;

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Niggemann,  Jutta
Department of Biogeochemistry, Max Planck Institute for Marine Microbiology, Max Planck Society;

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Dittmar,  Thorsten
Marine Geochemistry Group, Max Planck Institute for Marine Microbiology, Max Planck Society;

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Citation

Lucas, J., Koester, I., Wichels, A., Niggemann, J., Dittmar, T., Callies, U., et al. (2016). Short-term dynamics of north sea bacterioplankton-dissolved organic matter coherence on molecular level. Frontiers in Microbiology, 7: online, pp. 1-14.


Cite as: https://hdl.handle.net/21.11116/0000-0001-C327-7
Abstract
Remineralization and transformation of dissolved organic matter (DOM) by marine microbes shape the DOM composition and thus, have large impact on global carbon and nutrient cycling. However, information on bacterioplankton-DOM interactions on a molecular level is limited. We examined the variation of bacterial community composition (BCC) at Helgoland Roads (North Sea) in relation to variation of molecular DOM composition and various environmental parameters on short-time scales. Surface water samples were taken daily over a period of 20 days. Bacterial community and molecular DOM composition were assessed via 16S rRNA gene tag sequencing and ultrahigh resolution Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS), respectively. Environmental conditions were driven by a coastal water influx during the first half of the sampling period and the onset of a summer phytoplankton bloom toward the end of the sampling period. These phenomena led to a distinct grouping of bacterial communities and DOM composition which was particularly influenced by total dissolved nitrogen (TDN) concentration, temperature, and salinity, as revealed by distance-based linear regression analyses. Bacterioplankton-DOM interaction was demonstrated in strong correlations between specific bacterial taxa and particular DOM molecules, thus, suggesting potential specialization on particular substrates. We propose that a combination of high resolution techniques, as used in this study, may provide substantial information on substrate generalists and specialists and thus, contribute to prediction of BCC variation.