U.S. Department of EnergyOffice of Scientific and Technical Information
Dataset for the Danczak et al., 2025 manuscript about bacterial-fungal interactions
Abstract
We generated genome-resolved multiomics data from a series of metagenomic and metatranscriptomic sequencing. Specifically, we acquired, functionally annotated, and taxonomically classified both bacterial and eukaryotic metagenome assembled genomes (MAGs). For bacterial MAGs, we assembled eukaryotic float metagenomic sequencing data from JGI using MEGAHIT, binned and refined MAGs using MetaWRAP and dRep, functionally annotated MAGs using eggNOG mapper, and assigned taxonomy using GTDB-tk. For eukaryotic MAGs, we first identified potentially eukaryotic contigs from a coassembly of eukaryotic float metagenomic sequencing data from JGI using EukRep and Whokaryote, binned MAGs using MetaBAT2, functionally annotated MAGs using eggNOG mapper, and assigned taxonomy using Eukulele. Bulk metatranscriptomic reads were mapped to bacterial MAGs and polyA-metatranscriptomic read were mapped to eukaryotic MAGs using bbmap.
- Authors:
-
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Publication Date:
- Other Number(s):
- PNNL-SA-214312
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 2574929
- DOI:
- https://doi.org/10.25584/2574929
Citation Formats
Danczak, Robert E., Bell, Sheryl L., Warburton, Evan J., Alfaro, Trinidad D., Hofmockel, Kirsten S., Zimmerman, Amy E., and Nelson, William C. Dataset for the Danczak et al., 2025 manuscript about bacterial-fungal interactions. United States: N. p., 2025.
Web. doi:10.25584/2574929.
Danczak, Robert E., Bell, Sheryl L., Warburton, Evan J., Alfaro, Trinidad D., Hofmockel, Kirsten S., Zimmerman, Amy E., & Nelson, William C. Dataset for the Danczak et al., 2025 manuscript about bacterial-fungal interactions. United States. doi:https://doi.org/10.25584/2574929
Danczak, Robert E., Bell, Sheryl L., Warburton, Evan J., Alfaro, Trinidad D., Hofmockel, Kirsten S., Zimmerman, Amy E., and Nelson, William C. 2025.
"Dataset for the Danczak et al., 2025 manuscript about bacterial-fungal interactions". United States. doi:https://doi.org/10.25584/2574929. https://www.osti.gov/servlets/purl/2574929. Pub date:Wed Aug 06 00:00:00 EDT 2025
@article{osti_2574929,
title = {Dataset for the Danczak et al., 2025 manuscript about bacterial-fungal interactions},
author = {Danczak, Robert E. and Bell, Sheryl L. and Warburton, Evan J. and Alfaro, Trinidad D. and Hofmockel, Kirsten S. and Zimmerman, Amy E. and Nelson, William C.},
abstractNote = {We generated genome-resolved multiomics data from a series of metagenomic and metatranscriptomic sequencing. Specifically, we acquired, functionally annotated, and taxonomically classified both bacterial and eukaryotic metagenome assembled genomes (MAGs). For bacterial MAGs, we assembled eukaryotic float metagenomic sequencing data from JGI using MEGAHIT, binned and refined MAGs using MetaWRAP and dRep, functionally annotated MAGs using eggNOG mapper, and assigned taxonomy using GTDB-tk. For eukaryotic MAGs, we first identified potentially eukaryotic contigs from a coassembly of eukaryotic float metagenomic sequencing data from JGI using EukRep and Whokaryote, binned MAGs using MetaBAT2, functionally annotated MAGs using eggNOG mapper, and assigned taxonomy using Eukulele. Bulk metatranscriptomic reads were mapped to bacterial MAGs and polyA-metatranscriptomic read were mapped to eukaryotic MAGs using bbmap.},
doi = {10.25584/2574929},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Aug 06 00:00:00 EDT 2025},
month = {Wed Aug 06 00:00:00 EDT 2025}
}