MassIVE MSV000086991

Partial Public PXD024503

Aureobasidium pullulans biocontrol mechanisms; genome, transcriptome & secretome analyses

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Description

Aureobasidium pullulans is being studied with respect to its biotechnological applications in the degradation and modification of lignocellulose substrates or the production of the polysaccharide pullulan. In addition, the species is also used as a commercial plant protection agent against the bacterial pome fruit disease fireblight or against fungal postharvest diseases of fruits. The A. pullulans strain NBB 7.2.1 was originally isolated from a soil sample (from a Swiss orchard), but it was shown to be more competitive on apples than in soil (Gross et al., 2018). The antifungal activity of the isolate NBB 7.2.1 against fungal plant pathogens, and filamentous fungi in general, was assessed: Among 40 different yeasts, it belonged to the most strongly antifungal isolates (Hilber-Bodmer et al., 2017). The genome of A. pullulans NBB 7.2.1 was sequenced and de novo assembled by Agroscope using a combination of long reads from Pacific Biosciences Sequel technology and Illumina MiSeq short read data and subsequently annotated by JGI. The high quality genome sequence (comprising 12 chromosomes and one circular mitogenome) serves as the foundation for identifying the underlying molecular mechanisms that confer antifungal activity and to determine which factors may be targeted to improve the reliability and efficacy of A. pullulans as a plant protection agent in the field and under storage conditions. This dataset contains raw reads for four replicates of three fungal culture supernatants B1 Files: A_pul_F_ox: Interaction of A. pullulans and F. oxysporum in peptone buffer B2 Files: Aureobasidium: Pure culture of A. pullulans in peptone buffer B3 Files: Fusarium: Pure culture of F. oxysporum in peptone buffer [doi:10.25345/C5Z519] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Aureobasidium, Fusarium, Antagonism

Contact

Principal Investigators:
(in alphabetical order) 		Florian Freimoser, Agroscope, Switzerland
Submitting User: mariapau189
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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 peptide sequences (including modified variants or peptidoforms) 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.