MassIVE MSV000082284

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Qualea grandiflora - descriptive

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Description

This report is about the dataset of proteome from Qualea grandiflora plants supplemented and not supplemented with aluminium (Al) by label free mass spectrometry (LC_MS/MS). The presence of Al+3 in acid soils impairs the growth and development of most crop plant. However, there are many native Brazilian Cerrado plants that have adapted to these harsh conditions. Q. grandiflora is a representative species of such plants and accumulates Al in high quantities. Furthermore, this species has an Al-dependent metabolism because it needs this metal for growth and development. Although quite relevant for the understanding Al resistance in plants, the proteome of Q. grandiflora was not yet described. Therefore, the current proteome analysis identified a total of 2,010 proteins in roots of Q. grandiflora mostly associated with binding and catalytic activity molecular function GO terms. In conclusion, the proteome analysis of Q. grandiflora will contribute to better understand the role of Al in this plant and may help to unravel how plant evolved to cope with high levels of Al in soils. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Qualea grandiflora

Contact

Principal Investigators:
(in alphabetical order) 		Natalia F. Cury, UnB, Brazil
Submitting User: wagnerf
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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.
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