U.S. Department of EnergyOffice of Scientific and Technical Information
Data Mining of Groundwater to Identify MAGs with Methane, Propane and Toluene Monooxygenases
Abstract
Whole genome sequencing datasets, involving more than 600 groundwater samples, from nine countries, were analyzed to identify metagenome assembled genomes (MAGs) containing full operons for propane monooxygenase, soluble methane monooxygease, toluene monooxygenase and particulate ammonia/methane monooxygenase. The enzymes encoded by these genes are a focus of interest because of their ability to degrade common groundwater contaminants. Due to the large amount of data, sequence analyses involved more than 80 individual KBase narratives. The approach followed the KBase tutorial called "Metagenome-Assembled Genome Extraction from a Compost Microbiome Enrichment" The generated MAGs were exported from each individual narrative into separate summary KBase narratives for each monooxygenase. Three KBase narratives were generated for particulate ammonia/methane monooxygenase, due to the large number of MAGs identified.
- Authors:
-
;
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, USA
- Publication Date:
- Other Number(s):
- 242870
- DOE Contract Number:
- AC02-05CH11231; AC02-06CH11357; AC05-00OR22725; AC02-98CH10886
- Research Org.:
- U.S. Department of Energy Systems Biology Knowledgebase (KBASE)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; data mining; groundwater; MAGs; methane monooxygenase; propane monooxygenase; toluene monooxygenase
- OSTI Identifier:
- 3013398
- DOI:
- https://doi.org/10.25982/242870.6/3013398
Citation Formats
Cupples, Alison, Del Cid, Maria Basaldua, and Richard, James. Data Mining of Groundwater to Identify MAGs with Methane, Propane and Toluene Monooxygenases. United States: N. p., 2026.
Web. doi:10.25982/242870.6/3013398.
Cupples, Alison, Del Cid, Maria Basaldua, & Richard, James. Data Mining of Groundwater to Identify MAGs with Methane, Propane and Toluene Monooxygenases. United States. doi:https://doi.org/10.25982/242870.6/3013398
Cupples, Alison, Del Cid, Maria Basaldua, and Richard, James. 2026.
"Data Mining of Groundwater to Identify MAGs with Methane, Propane and Toluene Monooxygenases". United States. doi:https://doi.org/10.25982/242870.6/3013398. https://www.osti.gov/servlets/purl/3013398. Pub date:Fri Jan 16 00:00:00 UTC 2026
@article{osti_3013398,
title = {Data Mining of Groundwater to Identify MAGs with Methane, Propane and Toluene Monooxygenases},
author = {Cupples, Alison and Del Cid, Maria Basaldua and Richard, James},
abstractNote = {Whole genome sequencing datasets, involving more than 600 groundwater samples, from nine countries, were analyzed to identify metagenome assembled genomes (MAGs) containing full operons for propane monooxygenase, soluble methane monooxygease, toluene monooxygenase and particulate ammonia/methane monooxygenase. The enzymes encoded by these genes are a focus of interest because of their ability to degrade common groundwater contaminants. Due to the large amount of data, sequence analyses involved more than 80 individual KBase narratives. The approach followed the KBase tutorial called "Metagenome-Assembled Genome Extraction from a Compost Microbiome Enrichment" The generated MAGs were exported from each individual narrative into separate summary KBase narratives for each monooxygenase. Three KBase narratives were generated for particulate ammonia/methane monooxygenase, due to the large number of MAGs identified.},
doi = {10.25982/242870.6/3013398},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 16 00:00:00 UTC 2026},
month = {Fri Jan 16 00:00:00 UTC 2026}
}