Literature DB >> 35612750

Label-Free Quantitative Proteomic Profiling of Fusarium Head Blight in Wheat.

Boyan Liu1, Danisha Johal1, Mitra Serajazari2, Jennifer Geddes-McAlister3.   

Abstract

To distinguish protein abundance changes in biological systems under different conditions, mass spectrometry-based proteomics provides a powerful tool to detect and quantify such responses. Improvements in mass spectrometry instrumentation sensitivity and resolution, along with advanced bioinformatics enable new strategies to study host-pathogen interactions. This protocol uses the state-of-the-art MS-based proteomics to assess infection of the global fungal pathogen Fusarium graminearum, on the world-wide cereal crop Triticum aestivum, resulting in the devastating disease of Fusarium head blight (FHB). Here, host infection is mimicked by inoculating F. graminearum onto T. aestivum cultivars (e.g., FHB-resistant and -susceptible) in the growth room under controlled environment, followed by sample harvesting at different time points (e.g., 24 and 120 h post-inoculation) to assess temporal responses to infection. The collected samples are processed using our in-house pipeline for total protein extraction and quantified via label-free methods by liquid-chromatography-coupled with tandem MS/MS. From this experiment, we define dual perspectives of infection considering dynamic protein abundance changes in both the pathogen and host simultaneously, allowing us to identify strategies used by the pathogen to evade the host defense responses and those used by the host to protect from severe infection.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Fusarium graminearum; Host–pathogen interaction; Label-free quantification (LFQ); Mass spectrometry (MS); Quantitative proteomics analysis; Triticum aestivum

Mesh:

Year:  2022        PMID: 35612750     DOI: 10.1007/978-1-0716-2124-0_20

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

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Authors:  Guihua Bai; Gregory Shaner
Journal:  Annu Rev Phytopathol       Date:  2004       Impact factor: 13.078

2.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Nat Biotechnol       Date:  2008-11-30       Impact factor: 54.908

3.  The Perseus computational platform for comprehensive analysis of (prote)omics data.

Authors:  Stefka Tyanova; Tikira Temu; Pavel Sinitcyn; Arthur Carlson; Marco Y Hein; Tamar Geiger; Matthias Mann; Jürgen Cox
Journal:  Nat Methods       Date:  2016-06-27       Impact factor: 28.547

Review 4.  Mass-spectrometric exploration of proteome structure and function.

Authors:  Ruedi Aebersold; Matthias Mann
Journal:  Nature       Date:  2016-09-15       Impact factor: 49.962

Review 5.  New pathogens, new tricks: emerging, drug-resistant fungal pathogens and future prospects for antifungal therapeutics.

Authors:  Jennifer Geddes-McAlister; Rebecca S Shapiro
Journal:  Ann N Y Acad Sci       Date:  2018-05-15       Impact factor: 5.691

6.  Differential expression of proteins in response to the interaction between the pathogen Fusarium graminearum and its host, Hordeum vulgare.

Authors:  Jennifer Geddes; François Eudes; André Laroche; L Brent Selinger
Journal:  Proteomics       Date:  2008-02       Impact factor: 3.984

7.  Unbalanced Roles of Fungal Aggressiveness and Host Cultivars in the Establishment of the Fusarium Head Blight in Bread Wheat.

Authors:  Francis Fabre; Joerg Bormann; Serge Urbach; Sylvie Roche; Thierry Langin; Ludovic Bonhomme
Journal:  Front Microbiol       Date:  2019-12-11       Impact factor: 5.640

  7 in total

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