Literature DB >> 27331100

Mass-spectrometry data for Rhizoctonia solani proteins produced during infection of wheat and vegetative growth.

Jonathan P Anderson1, James K Hane2, Thomas Stoll3, Nicholas Pain2, Marcus L Hastie3, Parwinder Kaur2, Christine Hoogland3, Jeffrey J Gorman3, Karam B Singh1.   

Abstract

Rhizoctonia solani is an important root infecting pathogen of a range of food staples worldwide including wheat, rice, maize, soybean, potato, legumes and others. Conventional resistance breeding strategies are hindered by the absence of tractable genetic resistance in any crop host. Understanding the biology and pathogenicity mechanisms of this fungus is important for addressing these disease issues, however, little is known about how R. solani causes disease. The data described in this article is derived from applying mass spectrometry based proteomics to identify soluble, membrane-bound and culture filtrate proteins produced under wheat infection and vegetative growth conditions. Comparisons of the data for sample types in this set will be useful to identify metabolic pathway changes as the fungus switches from saprophytic to a pathogenic lifestyle or pathogenicity related proteins contributing to the ability to cause disease on wheat. The data set is deposited in the PRIDE archive under identifier PRIDE: PXD002806.

Entities:  

Keywords:  Basidiomycete; Fungal pathogenesis; Rhizoctonia solani; Wheat

Year:  2016        PMID: 27331100      PMCID: PMC4906030          DOI: 10.1016/j.dib.2016.05.042

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data Identification of metabolic changes as the fungus switches from a saprophytic lifestyle to a pathogenic lifestyle within the host may be inferred by comparing proteins under the vegetative and infection conditions. In-depth survey of proteins secreted from the fungal pathogen, Rhizoctonia solani, into the culture filtrate. These proteins are likely to come in direct contact with the plant host and thus may play important roles in infection/pathogenicity. Comparison could be made between proteins identified in vegetative fungal cultures and during infection of wheat to identify proteins related to infection or compared with a protein set from other fungal pathogens to identify conserved or unique infection strategies.

Data

This proteomics dataset comprises MS RAW files and identification files (mzIdentML and Scaffold files). MS/MS raw files were mapped to the R. solani AG8 WAC10335 gene models (GenBank assembly accession: GCA_000695385.1) and a six-frame translation of the genome using Mascot V2.4.1. Samples are obtained from either R. solani mycelium undergoing vegetative growth or R. solani infecting wheat seedlings at either early or late time points (Fig. 1).
Fig. 1

Experimental procedure for analysis of R. solani proteins produced under vegetative growth and wheat infection conditions.

Experimental design, materials and methods

Sample acquisition and generation of data

Rhizoctonia solani AG8 (WAC10335) [1] was allowed to grow at room temperature for 1 week on a PDA plate overlaid with a sterile nitrocellulose membrane. Surface sterilized wheat seeds were incubated at 24° C in the dark for 3 days on moist filter paper. Inoculations were conducted by adding the nitrocellulose membrane containing R. solani to the wheat seedlings and submerging in minimal medium [2]. The inoculated seedlings were incubated at 24° C for 3 days or 7 days prior to harvesting (Fig. 1). Vegetative fungal samples were obtained from cultures as above without the addition of wheat seedlings. Five replicates for each sample type (Table 1) were pooled for protein extraction and analysis. The membrane and attached mycelium was removed from the plates and mycelium peeled from the membrane, blotted dry and frozen in liquid nitrogen. Proteins were extracted from the culture filtrate, the membrane fraction of mycelium or the soluble fraction of mycelium as per [2]. Briefly, soluble mycelium and culture filtrate proteins were isolated using 10% (w/v) trichloroacetic acid, 0.07% (v/v) 2-mercaptoethanol in acetone and washed with 0.07% (v/v) 2-mercaptoethanol in acetone. Extraction of membrane proteins utilized a Mem-PER Plus Membrane Protein Extraction Kit (Thermo Scientific) followed by a 2D-Clean up kit (GE Healthcare). All proteins were trypsin digested and prepared for LC-MS according to [2].
Table 1

Sample names and treatments.

Sample nameSample time point Days post inoculation (dpi)ConditionProtein location
PDC6C3 dpiInfectionCulture filtrate
PDC5G3 dpiInfectionMembrane
PDC5C3 dpiInfectionSoluble mycelium
PDC5F3 dpiVegetative growthMembrane
PDC5A3 dpiVegetative growthSoluble mycelium
PDC5E7 dpiInfectionCulture filtrate
PDC6F7 dpiInfectionMembrane
PDC5D7 dpiInfectionSoluble mycelium
PDC6B7 dpiVegetative growthCulture filtrate
PDC6E7 dpiVegetative growthMembrane
PDC5B7 dpiVegetative growthSoluble mycelium

LC-MS and data analysis

Trypsin-digested samples were analyzed on a Shimadzu Prominence nano HPLC system coupled to an LTQ-Velos Orbitrap ETD mass spectrometer controlled using Xcalibur 2.2 software (Thermo Fisher Scientific) according to [2]. All MS/MS samples were analyzed using Mascot (Matrix Science, London, UK; version 2.4.1) and SequestHT (Thermo Fisher Scientific, San Jose, CA, USA; version 1.4.1.14) using the annotated R. solani AG8-1 genome [3] (13952 entries) and the 6-frame translation (1,729,543 entries) or the wheat genome (ftp.ensemblgenomes.org/pub/plants/release-25/fasta/triticum_aestivum/dna/) databases, supplemented in all cases with the contaminants database (247 entries, downloaded from maxquant.org on Aug 26, 2013). Mascot and SequestHT were searched using the criteria described in [2]. Scaffold (version 4.1.1, Proteome Software Inc., Portland, OR), Peptide Prophet algorithm [4] and Protein Prophet [5] were used to validate peptide and protein identifications according to [2]. Proteins that contained similar peptides and could not be differentiated based on MS/MS analysis alone were grouped to satisfy the principles of parsimony.
Subject areaBiology
More specific subject areaPlant Pathology
Type of dataFigure, table
How data was acquiredMass spectrometer LTQ-Velos Orbitrap (Thermo Scientific) with search engine Mascot version 2.4.1 used to map spectra to the R. solani WAC10335 genome.
Data formatRaw
Experimental factorsProteins extracted from fungal cultures undergoing vegetative growth or during infection of wheat.
Experimental featuresExtracted soluble proteins from fungal hyphae, membrane-bound proteins from fungal hyphae and proteins collected from the culture filtrate were subjected to mass spectrometry. Spectra were mapped to the R. solani WAC10335 genome gene models and six frame translation of the genome.
Data source locationBrisbane / Perth, Australia
Data accessibilityData are within this article and have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PRIDE: PXD002806
  4 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

2.  A statistical model for identifying proteins by tandem mass spectrometry.

Authors:  Alexey I Nesvizhskii; Andrew Keller; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2003-09-01       Impact factor: 6.986

3.  Genome sequencing and comparative genomics of the broad host-range pathogen Rhizoctonia solani AG8.

Authors:  James K Hane; Jonathan P Anderson; Angela H Williams; Jana Sperschneider; Karam B Singh
Journal:  PLoS Genet       Date:  2014-05-08       Impact factor: 5.917

4.  Proteomic Analysis of Rhizoctonia solani Identifies Infection-specific, Redox Associated Proteins and Insight into Adaptation to Different Plant Hosts.

Authors:  Jonathan P Anderson; James K Hane; Thomas Stoll; Nicholas Pain; Marcus L Hastie; Parwinder Kaur; Christine Hoogland; Jeffrey J Gorman; Karam B Singh
Journal:  Mol Cell Proteomics       Date:  2016-01-25       Impact factor: 5.911

  4 in total
  1 in total

1.  Improving the Genome Annotation of Rhizoctonia solani Using Proteogenomics.

Authors:  Jiantao Shu; Mingkun Yang; Cheng Zhang; Pingfang Yang; Feng Ge; Ming Li
Journal:  Curr Genomics       Date:  2021-12-30       Impact factor: 2.689

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.