U.S. Department of EnergyOffice of Scientific and Technical Information
SPRUCE Quantitative PCR (qPCR) of microbial gene copy numbers, 2021-2022
Abstract
This data set provides the results for quantitative polymerase chain reaction (qPCR) of peat samples collected from ambient and experimental plots in the Spruce and Peatland Responses Under Climatic and Environmental Change (SPRUCE) experiment site in June and August of 2021, and June of 2022. Additional dates and fungal gene copy data are in progress and will be added to the dataset when available. The data set includes bacterial and archaeal gene copy numbers, along with corresponding logarithmic values, at 11 depth increments of two-meter deep peat cores taken from 12 sampling sites locations inside SPRUCE plots(10 chambered and 2 ambient plots). The sampling, sample prep and analysis followed standard methods outlined in prior publications (Wilson et al. 2016; Kluber et al. 2020) except that a higher yielding Omega Bio-Tek Mag-Bind Environmental DNA 96 Kit was used for extractions and DNA was quantified using Qubit dsDNA High Sensitivity Assay Kit. This data set contains one file in comma separate (*.csv) format.
- Authors:
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- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Oak Ridge National Laboratory
- University of Minnesota, Saint Paul, MN (United States)
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Subject:
- Spruce and Peatland Responses Under Changing Environments, SPRUCE Experiment, Marcell Experimental Forest, Peatland, Bacteria, Archaea
- OSTI Identifier:
- 1998878
- DOI:
- https://doi.org/10.25581/spruce.110/1998878
Citation Formats
Roth, Spencer W., Buell, Zachary W., Kristy, Brandon, Phillips, Jana R., Ottinger, Sara L., Lowe, Kenneth, Mayes, Melanie A., and Schadt, Christopher W. SPRUCE Quantitative PCR (qPCR) of microbial gene copy numbers, 2021-2022. United States: N. p., 2023.
Web. doi:10.25581/spruce.110/1998878.
Roth, Spencer W., Buell, Zachary W., Kristy, Brandon, Phillips, Jana R., Ottinger, Sara L., Lowe, Kenneth, Mayes, Melanie A., & Schadt, Christopher W. SPRUCE Quantitative PCR (qPCR) of microbial gene copy numbers, 2021-2022. United States. doi:https://doi.org/10.25581/spruce.110/1998878
Roth, Spencer W., Buell, Zachary W., Kristy, Brandon, Phillips, Jana R., Ottinger, Sara L., Lowe, Kenneth, Mayes, Melanie A., and Schadt, Christopher W. 2023.
"SPRUCE Quantitative PCR (qPCR) of microbial gene copy numbers, 2021-2022". United States. doi:https://doi.org/10.25581/spruce.110/1998878. https://www.osti.gov/servlets/purl/1998878. Pub date:Sun Dec 31 23:00:00 EST 2023
@article{osti_1998878,
title = {SPRUCE Quantitative PCR (qPCR) of microbial gene copy numbers, 2021-2022},
author = {Roth, Spencer W. and Buell, Zachary W. and Kristy, Brandon and Phillips, Jana R. and Ottinger, Sara L. and Lowe, Kenneth and Mayes, Melanie A. and Schadt, Christopher W.},
abstractNote = {This data set provides the results for quantitative polymerase chain reaction (qPCR) of peat samples collected from ambient and experimental plots in the Spruce and Peatland Responses Under Climatic and Environmental Change (SPRUCE) experiment site in June and August of 2021, and June of 2022. Additional dates and fungal gene copy data are in progress and will be added to the dataset when available. The data set includes bacterial and archaeal gene copy numbers, along with corresponding logarithmic values, at 11 depth increments of two-meter deep peat cores taken from 12 sampling sites locations inside SPRUCE plots(10 chambered and 2 ambient plots). The sampling, sample prep and analysis followed standard methods outlined in prior publications (Wilson et al. 2016; Kluber et al. 2020) except that a higher yielding Omega Bio-Tek Mag-Bind Environmental DNA 96 Kit was used for extractions and DNA was quantified using Qubit dsDNA High Sensitivity Assay Kit. This data set contains one file in comma separate (*.csv) format.},
doi = {10.25581/spruce.110/1998878},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Dec 31 23:00:00 EST 2023},
month = {Sun Dec 31 23:00:00 EST 2023}
}