https://doi.org/10.25678/0009F7

Data for: Metagenomic and -transcriptomic analyses of microbial nitrogen transformation potential, and gene expression in Swiss lake sediments

This package contains data used for the publication "Metagenomic and -transcriptomic analyses of microbial nitrogen transformation potential, and gene expression in Swiss lake sediments".
Abstract:
The global nitrogen (N) cycle has been strongly altered by anthropogenic activities, including increased input of bioavailable N into aquatic ecosystems. Freshwater sediments are hotspots with regards to the turnover and elimination of fixed N, yet the environmental controls on the microbial pathways involved in benthic N removal are not fully understood. Here, we analyze the abundance and expression of microbial genes involved in N transformations using metagenomics and -transcriptomics across sediments of 12 Swiss lakes that differ in sedimentation rates and trophic regimes. Our results indicate that microbial N loss in these sediments is primarily driven by nitrification coupled to denitrification. N-transformation gene compositions indicated three groups of lakes: agriculture-influenced lakes characterized by rapid depletion of oxidants in the sediment porewater, pristine-alpine lakes with relatively deep sedimentary penetration of oxygen and nitrate, and large, deep lakes with intermediate porewater hydrochemical properties. Sedimentary organic matter (OM) characteristics showed the strongest correlations with the community structure of microbial N-cycling communities. Most transformation pathways were expressed, but expression deviated from gene abundance and did not correlate with benthic geochemistry. Cryptic N-cycling may maintain transcriptional activity even when substrate levels are below detection. Sediments of large, deep lakes generally showed lower in-situ N gene expression than agriculture-influenced lakes, and half of the pristine-alpine lakes. This implies that prolonged OM mineralization in the water column can lead to the suppression of benthic N gene expression.

Dataset extent

Data and Resources

Citation

This Data Package

Baumann, K. B. L., Lever, M. A., Lehmann, M. F., Buergmann, H., Mazzoli, A., Salazar, G., et al. (2023). Data for: Metagenomic and -transcriptomic analyses of microbial nitrogen transformation potential, and gene expression in Swiss lake sediments (Version 1.0). Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/0009F7

The associated article

Baumann, K. B. L., Mazzoli, A., Salazar, G., Ruscheweyh, H.-J., Müller, B., Niederdorfer, R., et al. (2024). Metagenomic and -transcriptomic analyses of microbial nitrogen transformation potential, and gene expression in Swiss lake sediments. ISME Communications, 4(1). https://doi.org/10.1093/ismeco/ycae110

Metadata

  Publication Data Package for:
Open Data Open Data
Author
  • Baumann, Kathrin B.L.
  • Lever, Mark A
  • Lehmann, Moritz F.
  • Buergmann, Helmut
  • Mazzoli, Alessandra
  • Salazar, Guillem
  • Ruscheweyh, Hans-Joachim
  • Müller, Beat
  • Niederdorfer, Robert
  • Sunagawa, Shinichi
Keywords denitrification,nitrification,anammox,DNRA,freshwater sediment,metatranscriptomics,metagenomics
Variables
  • ammonium-nitrogen
  • c_to_n_ratio
  • concentration
  • delta_13C
  • delta_15N
  • gene_abundance
  • total_organic_carbon
  • total_phosphorus
Substances (scientific names)
  • Ammonium (InChI=1S/H3N/h1H3/p+1)
  • Calcium(2+) (InChI=1S/Ca/q+2)
  • Chloride (InChI=1S/ClH/h1H/p-1)
  • Magnesium(2+) (InChI=1S/Mg/q+2)
  • Manganese(2+) (InChI=1S/Mn/q+2)
  • Nitrate (InChI=1S/NO3/c2-1(3)4/q-1)
  • Nitrite (InChI=1S/HNO2/c2-1-3/h(H,2,3)/p-1)
  • Oxygen (InChI=1S/O2/c1-2)
  • Phosphate (InChI=1S/H3O4P/c1-5(2,3)4/h(H3,1,2,3,4)/p-3)
  • Potassium(1+) (InChI=1S/K/q+1)
  • Sodium(1+) (InChI=1S/Na/q+1)
  • Sulfate (InChI=1S/H2O4S/c1-5(2,3)4/h(H2,1,2,3,4)/p-2)
Substances (generic terms)
  • ammonium
  • C/N
  • dissolved metal ions
  • dissolved nitrogen
  • DNA
  • genes
  • nitrate
  • oxygen
  • RNA
  • sulfate
  • total nitrogen
  • total organic carbon
  • transcripts
Taxa (scientific names)
  • Archaea
  • Bacteria
Organisms (generic terms)
  • Archaea
  • Bacteria
Systems
  • lake
  • lake sediment
Timerange
  • 2019 TO 2023
  • 2019-08 TO 2019-10
Geographic Name(s)
  • Baldeggersee
  • Bodensee
  • Brienzersee
  • Genfersee
  • Hallwilersee
  • Langensee
  • Neuenburgersee
  • Sarnersee
  • Sempachersee
  • Vierwaldstättersee
  • Walensee
  • Zugersee
Review Level none
Curator Buergmann, Helmut
Contact Buergmann, Helmut <Helmut.Buergmann@eawag.ch>
DOI 10.25678/0009F7