U.S. Department of EnergyOffice of Scientific and Technical Information
KS4A-Omics1.0_FspDS682 (in EN)
Abstract
Soil fungi facilitate the translocation of inorganic nutrients from soil minerals to other microorganisms and plants. This ability is particularly advantageous in impoverished soils, because fungal mycelial networks can bridge otherwise spatially disconnected and inaccessible nutrient hotspots. However, the molecular mechanisms underlying fungal mineral weathering and transport through soil remains poorly understood. Here, we addressed this knowledge gap by directly visualizing nutrient acquisition and transport through fungal hyphae in a mineral doped soil micromodel using a multimodal imaging approach. Here, we observed how a representative of common saprotrophic soil fungi, Fusarium sp. DS 682, exhibited a mechanosensory response (thigmotropism) around obstacles and through pore spaces (~12 μm) in the presence of minerals.This study establishes the significance of fungal biology and nutrient translocation mechanisms in maintaining fungal growth under water and nutrient limitations in a soil-like microenvironment, using a high-throughput multi-omic analysis approach. Data package KS4A-Omics.1.0_FspDS682 (Publication: Fungal Mineral Weathering Mechanisms Revealed Through Direct Molecular Visualization) contents reported here are the first version (1.0) and contain pre- and post-processed data using high throughput data capture technologies for multi-omic analysis and integration, this data package contains raw and post-processed experimental data for X-Ray Absorption Near Edge Structure Spectroscopy (XANES/XRF), Optical Microscopy, Proteomics,more »
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- Pacific Northwest National Laboratory, Biological Sciences Division (EBSD), PNNL Soil Microbiome SFA Project; PNNL DataHub
- Pacific Northwest National Laboratory, Biological Sciences Division (EBSD), PNNL Soil Microbiome SFA Project
- SLAC National Accelerator Laboratory
- Pacific Northwest National Laboratory, EMSL
- Publication Date:
- Other Number(s):
- 13432
- DOE Contract Number:
- AC02-76SF00515
- Research Org.:
- Pacific Northwest National Laboratory 2; PNNL
- Sponsoring Org.:
- SC-23
- Subject:
- 47 OTHER INSTRUMENTATION; 54 ENVIRONMENTAL SCIENCES; 59 BASIC BIOLOGICAL SCIENCES; Data Package DOI; Fusarium sp. DS 682; Mass Spectrometry; Microscopy; Multi-Omics; Spectroscopy
- OSTI Identifier:
- 1766303
- DOI:
- https://doi.org/10.25584/KSOmicsFspDS682/1766303
Citation Formats
Anderson, Lindsey N, Bhattacharjee, Arunima, Richardson, Jocelyn R, Bramer, Lisa M, Qafoku, Odeta, Zhu, Zihua, Bowden, Mark E, Engelhard, Mark H, Nelson, William C, Hofmockel, Kirsten S, Jansson, Janet K, and Anderton, Christopher R. KS4A-Omics1.0_FspDS682. United States: N. p., 2021.
Web. doi:10.25584/KSOmicsFspDS682/1766303.
Anderson, Lindsey N, Bhattacharjee, Arunima, Richardson, Jocelyn R, Bramer, Lisa M, Qafoku, Odeta, Zhu, Zihua, Bowden, Mark E, Engelhard, Mark H, Nelson, William C, Hofmockel, Kirsten S, Jansson, Janet K, & Anderton, Christopher R. KS4A-Omics1.0_FspDS682. United States. doi:https://doi.org/10.25584/KSOmicsFspDS682/1766303
Anderson, Lindsey N, Bhattacharjee, Arunima, Richardson, Jocelyn R, Bramer, Lisa M, Qafoku, Odeta, Zhu, Zihua, Bowden, Mark E, Engelhard, Mark H, Nelson, William C, Hofmockel, Kirsten S, Jansson, Janet K, and Anderton, Christopher R. 2021.
"KS4A-Omics1.0_FspDS682". United States. doi:https://doi.org/10.25584/KSOmicsFspDS682/1766303. https://www.osti.gov/servlets/purl/1766303. Pub date:Tue Apr 20 04:00:00 UTC 2021
@article{osti_1766303,
title = {KS4A-Omics1.0_FspDS682},
author = {Anderson, Lindsey N and Bhattacharjee, Arunima and Richardson, Jocelyn R and Bramer, Lisa M and Qafoku, Odeta and Zhu, Zihua and Bowden, Mark E and Engelhard, Mark H and Nelson, William C and Hofmockel, Kirsten S and Jansson, Janet K and Anderton, Christopher R},
abstractNote = {Soil fungi facilitate the translocation of inorganic nutrients from soil minerals to other microorganisms and plants. This ability is particularly advantageous in impoverished soils, because fungal mycelial networks can bridge otherwise spatially disconnected and inaccessible nutrient hotspots. However, the molecular mechanisms underlying fungal mineral weathering and transport through soil remains poorly understood. Here, we addressed this knowledge gap by directly visualizing nutrient acquisition and transport through fungal hyphae in a mineral doped soil micromodel using a multimodal imaging approach. Here, we observed how a representative of common saprotrophic soil fungi, Fusarium sp. DS 682, exhibited a mechanosensory response (thigmotropism) around obstacles and through pore spaces (~12 μm) in the presence of minerals.This study establishes the significance of fungal biology and nutrient translocation mechanisms in maintaining fungal growth under water and nutrient limitations in a soil-like microenvironment, using a high-throughput multi-omic analysis approach. Data package KS4A-Omics.1.0_FspDS682 (Publication: Fungal Mineral Weathering Mechanisms Revealed Through Direct Molecular Visualization) contents reported here are the first version (1.0) and contain pre- and post-processed data using high throughput data capture technologies for multi-omic analysis and integration, this data package contains raw and post-processed experimental data for X-Ray Absorption Near Edge Structure Spectroscopy (XANES/XRF), Optical Microscopy, Proteomics, Scanning Electron Microscope (SEM), Time-of-Flight Secondary Ion Mass Spectroscopy (ToF-SIMS), X-Ray Diffraction Spectroscopy (XRD) files, and X- Ray Photoelectron Spectroscopy (XPS) using EMSL capabilities. This data package DOI contains a comprehensive collection of high-throughput multi-omics data and process metadata catalog. Support files include additional data download contents “Read Me” with dataset descriptor information and data source method application ontologies (see data dictionary section). Reported data download content is structured for compliance with reported guidelines provided by community standard initiatives and publisher stakeholder policies supporting FAIR data principles.},
doi = {10.25584/KSOmicsFspDS682/1766303},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {4}
}