MassIVE MSV000084471

Partial Public PXD015895

Combining state-of-the-art tandem mass spectrometry with de novo-assisted database peptide sequencing is a viable strategy for the discovery of small signaling peptides at the plant-microbe interface

Description

Small polypeptides (sPEPs) less than 100 amino acids in length are emerging as key signaling molecules that mediate cell-cell communication and biological processes that occur within and between plants, fungi, and bacteria. In this study, we benchmarked the qualitative and quantitative performance of a 10 kDa MWCO filter enrichment strategy optimized specifically for sPEPs using shotgun proteomics with de novo-assisted database searches. We implemented this approach to identify unknown sPEPs from different tissues of Populus X canescens growing with or without Laccaria bicolor ectomycorrhiza. In total, 1660 and 2870 Populus and L. bicolor unique sPEPs were identified, respectively. By means of relative quantification, 129 sPEPs were determined to be significantly more abundant in Populus root with established ectomycorrhizae (ECM) when compared to free-living mycelium of L. bicolor. Several of these peptides mapped to proteins already implicated in biologically relevant associations between plant and fungus. [doi:10.25345/C52H3F] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: tandem mass spectrometry ; liquid chromatography ; small peptides ; de novo peptide sequencing

Contact

Principal Investigators:
(in alphabetical order)
Paul Abraham, ORNL, United States
Submitting User: pabraham_ORNL
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Experimental Design
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Identification Results
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Quantification Results
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Number of distinct biological 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 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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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.
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