MassIVE MSV000098285

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GNPS - Plant-mycorrhizal-decomposer interactions under climate change: the role of shifting plant carbon allocation

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Description

Our work focuses on an economically and societally important plant-EMF system that dominates coniferous forests in U.S. and abroad; plants in the Pinaceae and their EMF symbionts in the genus Suillus. Pinaceae forests cover ~30% of U.S. land area and store approximately 57.8 billion tons of C. Pines have also been introduced to over 5 million Ha of land in the Southern Hemisphere, where populations of non-native Pinaceae species are escaping from original plantations and co- invading with their EMF symbionts, with unknown consequences to ecosystem biogeochemistry. At the DOE-funded Duke Free-Air CO2 Enrichment (FACE) experiment in North Carolina, U.S., Pinus taeda trees accumulated biomass quickly under elevated CO2, using unknown mechanisms for mining soil N to support rapid growth. Our analysis of the Suillus-Pinus system will generate molecular data on these responses, providing insight into the prospects for sustained plant productivity – and ecosystem C storage – under elevated CO2. By linking our molecular data with development of an ecosystem model, our proposed work directly meets DOE BER’s mission of translating genomics data into digestible units that can improve our predicative understanding of terrestrial biogeochemistry. This research was performed under the Facilities Integrating Collaborations for User Science (FICUS) program (proposal:https://doi.org/10.46936/fics.proj.2020.51536/60000208) and used resources at the DOE Joint Genome Institute (https://ror.org/04xm1d337) and the Environmental Molecular Sciences Laboratory (https://ror.org/04rc0xn13), which are DOE Office of Science User Facilities operated under Contract Nos. DE-AC02-05CH11231 (JGI) and DE-AC05-76RL01830 (EMSL). [doi:10.25345/C5W95115V] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: biogeochemistry ; ectomycorrhizal fungi ; pine ; carbon storage ; DatasetType:Metabolomics

Contact

Principal Investigators:
(in alphabetical order) 		Jennifer Bhatnagar, Boston University, United States
Submitting User: bpbowen
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GNPS content goes here (MSV000098285 [task=70530ba438494529994960becc66c2d3])
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Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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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.

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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.

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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.