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Title: Genome-resolved metagenomics and metatranscriptomics of microbial communities in three meander-bound floodplain soils along the East River, Colorado.

Abstract

This dataset comprises paired environmental and genomic data for soil samples collected across meander-bound floodplains G (ERMG), L (ERML) and Z (ERMZ). A total of 96 soil samples (32 per floodplain) from the ~ 10-25 cm layer were collected in September 2015, during base flow conditions. An additional 32 soil samples were collected from ERML in September 2016, including three samples from a depth just above the water table. A subset of samples (14) collected in 2016 were used for metatranscriptomics as well as metagenomics. The data package includes: 1) A spread sheet with sample names, location and depth by meander-bound floodplain. 2) Total organic carbon (TOC), total inorganic carbon (TIC), total carbon (TC = TOC + TIC), total nitrogen (TN), and the TOC to TN ratio (TOC:N) from 2015 subsamples. 3) Soil chemistry for 2016 subsamples. 4) A spread sheet with elevation, Easting, Northing, and topographic position index (TPI) for each site sampled in 2015. 5) A kml file, which can be viewed in Google Earth, with the locations of the 96 soil sampling sites along the East River Watershed Floodplain in Colorado. Metagenomics and metatranscriptomics data, as well as reconstructed genomes, are available elsewhere (see data package methodsmore » and bioRxiv preprint for links to the data). 6) Two sets of reconstructed genomes with overlapping members (see bioRxiv preprint for description and associated data). Metagenomes and metatranscriptomes are available elsewhere (see data package methods and bioRxiv preprint). To view tar.gz files, the following software can be used: https://www.gnu.org/software/tar/, https://www.7-zip.org/.« less

Authors:
ORCiD logo ; ; ; ; ; ; ; ; ; ; ORCiD logo ;
  1. University of California Berkeley
  2. Lawrence Berkeley National Laboratory
Publication Date:
Other Number(s):
paf_435
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Watershed Function SFA
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES
Keywords:
Carbon; Nitrogen; TPI; DNA; RNA; Genomes; Metagenomics; total organic carbon; Transcriptomics; GIS/Map; Total Nitrogen; Total Inorganic Carbon
Geolocation:
39.034,-106.88|38.88,-106.88|38.88,-107.05|39.034,-107.05|39.034,-106.88
OSTI Identifier:
1631979
DOI:
https://doi.org/10.15485/1631979
Project Location:

DOE DataExplorer Dataset Location Google Map

Citation Formats

Matheus Carnevali, Paula, Hobson, Chad, Geller-McGrath, David, Dong, Wenming, Falco, Nicola, Wainwright, Haruko, Lavy, Adi, Thomas, Alex, Sharrar, Allison, Lei, Shufei, Williams, Kenneth H., and Banfield, Jillian. Genome-resolved metagenomics and metatranscriptomics of microbial communities in three meander-bound floodplain soils along the East River, Colorado.. United States: N. p., 2020. Web. doi:10.15485/1631979.
Matheus Carnevali, Paula, Hobson, Chad, Geller-McGrath, David, Dong, Wenming, Falco, Nicola, Wainwright, Haruko, Lavy, Adi, Thomas, Alex, Sharrar, Allison, Lei, Shufei, Williams, Kenneth H., & Banfield, Jillian. Genome-resolved metagenomics and metatranscriptomics of microbial communities in three meander-bound floodplain soils along the East River, Colorado.. United States. doi:https://doi.org/10.15485/1631979
Matheus Carnevali, Paula, Hobson, Chad, Geller-McGrath, David, Dong, Wenming, Falco, Nicola, Wainwright, Haruko, Lavy, Adi, Thomas, Alex, Sharrar, Allison, Lei, Shufei, Williams, Kenneth H., and Banfield, Jillian. 2020. "Genome-resolved metagenomics and metatranscriptomics of microbial communities in three meander-bound floodplain soils along the East River, Colorado.". United States. doi:https://doi.org/10.15485/1631979. https://www.osti.gov/servlets/purl/1631979. Pub date:Wed Jan 01 00:00:00 EST 2020
@article{osti_1631979,
title = {Genome-resolved metagenomics and metatranscriptomics of microbial communities in three meander-bound floodplain soils along the East River, Colorado.},
author = {Matheus Carnevali, Paula and Hobson, Chad and Geller-McGrath, David and Dong, Wenming and Falco, Nicola and Wainwright, Haruko and Lavy, Adi and Thomas, Alex and Sharrar, Allison and Lei, Shufei and Williams, Kenneth H. and Banfield, Jillian},
abstractNote = {This dataset comprises paired environmental and genomic data for soil samples collected across meander-bound floodplains G (ERMG), L (ERML) and Z (ERMZ). A total of 96 soil samples (32 per floodplain) from the ~ 10-25 cm layer were collected in September 2015, during base flow conditions. An additional 32 soil samples were collected from ERML in September 2016, including three samples from a depth just above the water table. A subset of samples (14) collected in 2016 were used for metatranscriptomics as well as metagenomics. The data package includes: 1) A spread sheet with sample names, location and depth by meander-bound floodplain. 2) Total organic carbon (TOC), total inorganic carbon (TIC), total carbon (TC = TOC + TIC), total nitrogen (TN), and the TOC to TN ratio (TOC:N) from 2015 subsamples. 3) Soil chemistry for 2016 subsamples. 4) A spread sheet with elevation, Easting, Northing, and topographic position index (TPI) for each site sampled in 2015. 5) A kml file, which can be viewed in Google Earth, with the locations of the 96 soil sampling sites along the East River Watershed Floodplain in Colorado. Metagenomics and metatranscriptomics data, as well as reconstructed genomes, are available elsewhere (see data package methods and bioRxiv preprint for links to the data). 6) Two sets of reconstructed genomes with overlapping members (see bioRxiv preprint for description and associated data). Metagenomes and metatranscriptomes are available elsewhere (see data package methods and bioRxiv preprint). To view tar.gz files, the following software can be used: https://www.gnu.org/software/tar/, https://www.7-zip.org/.},
doi = {10.15485/1631979},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}