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Metagenome-assembled genomes measured at 3 depths during snowmelt period in East River, CO (March, May, and June, September 2017)

Creators: Ulas KaraozORCID, Patrick O. Sorensen, Jillian F. Banfield, Harry Beller, Markus BillORCID, Nicholas J. BouskillORCID, Rosalie K. ChuORCID, David W. Hoyt, Elizabeth Eder, Emiley Eloe-Fadrosh, Malak M. TfailyORCID, Jason Toyoda, Nikola TolicORCID, Shi Wang, Allison Wong, Kenneth H. Williams, Yangquanwei Zhong, Eoin L. BrodieORCID
Year: 2025
DOI: 10.15485/2569158
License: CC-BY 4.0
Location: The East River (ER) is a snow‐dominated, headwater basin of the Upper Colorado River Basin (UCRB) located in the western United States. The ER is the designated testbed of Lawrence Berkeley National Laboratory and SLAC Accelerator Laboratory's Watershed Function Scientific Focus Area (WFSFA). This portion of the ER watershed contains the project-defined boundaries of East River, Washington Gulch, Slate River, and Coal Creek, as described in the location metadata. Through WFSFA, observational networks have been established to measure stream discharge and precipitation chemistry. The ER is considered representative of many snow‐dominated headwaters of the Rocky Mountains. The study domain encompasses nearly 85 square km, a 1.4‐km vertical drop in elevation (4,120 to 2,760 m) and pristine alpine, subalpine, montane, and riparian ecosystems. The ER contains high‐energy mountain streams to low‐energy meandering floodplains and is eroding primarily into the Cretaceous, carbon‐rich, marine shale of the Mancos Formation. This data package contains geographic metadata for specific observation points throughout the watershed. Additional metadata on specific locations within the watershed are provided in the following related data package: Varadharajan C. et al. (2025) doi:10.15485/1660962
Temporal extent: 2017-03-07 to 2017-09-16
Bounding box: 38.820°N to 39.033°N, -107.120°W to -106.880°W
Publisher: ESS_DIVE
Tags: EARTH SCIENCE > LAND SURFACE > SOILS, CATEGORICAL:GCMD EARTH SCIENCE > BIOSPHERE > OMICS > METAGENOME > METAGENOME ASSEMBLED GENOMES (MAGs):GCMD, EARTH SCIENCE > BIOSPHERE > OMICS > OMICS METHODOLOGY > BIN/BINNING:GCMD, EARTH SCIENCE > BIOSPHERE > OMICS > BUILDING BLOCKS > CONTIG:GCMD, EARTH SCIENCE > BIOSPHERE > OMICS > BUILDING BLOCKS > eDNA:GCMD, EARTH SCIENCE > BIOSPHERE > OMICS > MICROBIOME:GCMD, ESS-DIVE Location Metadata Reporting Format, ESS-DIVE Sample ID and Metadata Reporting Format, ESS-DIVE CSV File Formatting Guidelines Reporting Format, ESS-DIVE File Level Metadata Reporting Format, CATEGORICAL:NONE EARTH SCIENCE > BIOSPHERE > OMICS > METAGENOME > METAGENOME ASSEMBLED GENOMES (MAGs):GCMD, Alpine & Subalpine Ecology, Genetics & Evolution, Hydrology & Watersheds, Snow & Ice, Groundwater, Geology & Tectonics, Soil Science, Weather & Atmospheric Science, Mining & Mineral Resources, Gunnison Basin, Research Programs

Description

Snowmelt is a critical biogeochemical period that accounts for large nitrogen (N) export events from high-elevation watersheds. Soil microbial populations bloom and immobilize N during snowmelt, yet the population size crashes in spring, which releases a pulse of soil N. We sought to discover the N sources fueling this microbial bloom and determine the fate of N following microbial die-off. Here, focusing on the snowmelt period within a headwater catchment of the Upper Colorado River Basin (East River, CO), we deployed strain-resolved metagenomics to identify the metabolic pathways and processes that mobilize soil N during and after snowmelt. Soil metagenome samples were taken from 6 snowpits from 3 depths (0-5cm, 5-15cm, >15cm) at 4 time points during snowmelt period (March 2017, May 2017, and June 2017, September 2017) generating 48 metagenomes. We reconstructed 474 metagenome-assembled genomes (MAGs) across all metagenomes. All 48 metagenomes were sequenced at JGI and raw data can be found under JGI (Joint Genome Institute) GOLD Study Gs0135149. Metagenome assemblies from IMG under the same study were used for genome binning. This dataset (1) a zip file of 474 MAGs (as fasta files, Gs0135149_bins_tar.gz), (2) sample metadata file with sample IGSNs (International Generic Sample Numbers) (samples.csv), (3) bounding box coordinates for the sampled locations (Gs0135149.kml), (4) metagenome metadata file listing IMG/M (Integrated Microbial Genomes/Metagenomes) metagenome accessions linking samples to metagenomes (metagenomes.csv), (5) location metadata file (locations.csv), (6) file-level metadata file (flmd.csv) and (7) data dictionary (dd.csv) file. This work was supported by the Watershed Function Science Focus Area at Lawrence Berkeley National Laboratory funded by the US Department of Energy, Office of Science, Biological and Environmental Research under Contract No. DE-AC02-05CH11231.

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