MassIVE MSV000094091

Partial Public

GNPS - Elucidation of the Gene Regulatory Networks Governing Terpenoid-Mediated Plant-Environment Interactions to Enable Advanced Bioenergy Crops

Description

The proposed project aims to elucidate the gene-regulatory networks (GRNs) underlying terpenoid metabolism in three major bioenergy crops, switchgrass (Panicum virgatum), maize (Zea mays), and sorghum (Sorghum bicolor), to aid crop development for enhanced stress resilience and biofuel production from biomass feedstock. Prior studies identified more than 50 terpene synthases (TPS) and cytochrome P450 monooxygenases (P450), as key enzymes in generating bioactive terpenoids, in several bioenergy plants including switchgrass and maize. This knowledge now enables a precise investigation of the GRNs that govern common and species-specific terpenoid pathways. We will integrate transcription factor (TF) functional studies, TF binding site mapping, transcript and metabolite profiling, and terpenoid pathway engineering to identify the terpenoid-metabolic TF networks mediating stress responses in switchgrass, maize and sorghum. The work (proposal:https://doi.org/10.46936/10.25585/60001378) 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/C5N87397G] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: terpenoid metabolism ; bioenergy crops

Contact

Principal Investigators:
(in alphabetical order)
Philipp Zerbe, UC Davis, United States
Submitting User: bpbowen
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GNPS content goes here (MSV000094091 [task=fda2273804f1494aa00cc6eb3abd88d3])
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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.

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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.

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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.

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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.

"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.