MassIVE MSV000094088

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GNPS - Microbial environmental feedbacks and the evolution of soil organic matter

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Description

More than two thirds of organic carbon stored in terrestrial ecosystems is contained in soil organic matter (SOM). The residence time of SOM is strongly dictated by the physical and biological properties of soil, including the formation of soil aggregates and the binding of OM to the surface of soil minerals. Both mechanisms protect otherwise available C from microbial (fungal, bacterial and archaeal) catabolism. However, our emerging conceptual understanding of SOM stabilization highlights the role anabolic metabolisms play in the formation of SOM from microbial necromass and metabolic byproducts, and the propensity of certain functional groups to bind to the surface of minerals. Notably, microbially derived SOM containing phosphoric or nitrogenous (e.g., aliphatic or amine) functional groups, showed preferential binding to mineral surfaces, and hence, enhanced stabilization of OM compounds in soils. Stabilizing the C cycle remains a social imperative. Bridging this critical knowledge gap is dependent on our elucidating the traits, mechanisms and drivers dictating the production of diverse biochemical compounds and the factors determining the residence time of these compounds under perturbation. This dataset aims to improve mechanistic understanding of the pathways and processes leading to the production of microbial SOM, which currently limits our capability to predict how these complex ecosystems will respond to pulse or press disturbances anticipated under a changing climate. The work (proposal:https://doi.org/10.46936/10.25585/60001233) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231. [doi:10.25345/C51J97K27] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: drought stress ; soil organic matter

Contact

Principal Investigators:
(in alphabetical order) 		Nicholas Bouskill, Lawrence Berkeley National Laboratory, United States
Submitting User: bpbowen
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Identification Results
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Quantification Results
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GNPS content goes here (MSV000094088 [task=e5672074ef7c41c99a9347f4ae1d2999])
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.