MassIVE MSV000096982

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A.flavus-population-strains-metabolomics-negative

Description

Chemical innovation is essential for fungi to adapt to ever-changing environments. However, the role of genetic and environmental interactions in driving fungal metabolic differentiation remains ambiguous. Here, we studied the phylogeographic diversity of a panel of 1,052 Aspergillus flavus strains across four continents, including 544 newly sequenced strains from China that revealed new global subpopulations. The population diversity of A. flavus shows strong phylogeographic metabolic patterns, with different clades being associated with specific environments. [doi:10.25345/C5C53FD0J] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Envirenmental shifts ; mycotoxins ; phylogeographic patterns ; population genetics ; metabolic differentiation ; environmental adaptation. ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order)
huali xie, Chinese Academy of Agricultural Sciences, China
Submitting User: wangzai
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Experimental Design
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Identification Results
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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.

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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.