Dataset Information

Proteomics-based data integration of wheat cultivars facing Fusarium graminearum strains revealed a core-responsive pattern driving the fate of the interaction

ABSTRACT: The aim of this work is to dissect the plant component of the dual-proteome established during the FHB process using the same three wheat cultivars facing the three fungal strains as described in Fabre et al. (2019b). Qualitative and quantitative dissection of the three wheat cultivar proteomes was devoted to identify molecular events that drive the FHB-susceptibility differences. This included, the identification of (i) the generic molecular adjustments taking place during FHB progress, (ii) the cultivar-specific responses and their accommodation with different F. graminearum strains inducing FHB and (iii) the range of wheat proteins that basically discriminate the three wheat cultivars of contrasted susceptibility. The joint analysis of all these data with the fungal protein information was carried out to identify relationship between wheat protein abundance changes and fungal effectors differentially accumulated between the three F. graminearum strains (Fabre et al., 2019b).

INSTRUMENT(S): Q Exactive HF-X

ORGANISM(S): Triticum Aestivum (wheat)

TISSUE(S): Spikelet

SUBMITTER: Ludovic Bonhomme

LAB HEAD: Thierry Langin

PROVIDER: PXD023212 | Pride | 2021-05-28

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	FUSARIUM_HFX_11_10-3.mzXML	Mzxml
	FUSARIUM_HFX_11_10-3.xml	Xml
	FUSARIUM_HFX_12_10-4.mzXML	Mzxml
	FUSARIUM_HFX_12_10-4.xml	Xml
	FUSARIUM_HFX_14_30-1.mzXML	Mzxml

Items per page:

1 - 5 of 18

Publications

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

Fabre Francis F Bormann Joerg J Urbach Serge S Roche Sylvie S Langin Thierry T Bonhomme Ludovic L

Frontiers in microbiology 20191211

Fusarium head blight (FHB), caused mainly by Fusarium graminearum, is the foremost destructive disease of cereals worldwide. Effector-like molecules produced by F. graminearum play key roles in the infection process and are assumed to be one of the essential components of the pathogen's aggressiveness. However, their nature and role in the disease are still largely misunderstood. As a mean to provide relevant information about the molecular determinism of F. graminearum aggr ...[more]

PMID: 31921038

Similar Datasets

Project description:Purpose: To identify abiotic stress responsive and tissue specific miRNAs at genome wide level in wheat (Triticum aestivum) Results: Small RNA libraries were constructed from four tissues (root, shoot, mature leaf and spikelets) and three stress treatments of wheat seedlings (control, high temperature, salinity and water-deficit). A total of 59.5 million reads were obtained by high throughput sequencing of eight wheat libraries, of which 32.5 million reads were found to be unique. Using UEA sRNA workbench we identified 47 conserved miRNAs belonging to 20 families, 1030 candidate novel and 51 true novel miRNAs. Several of these miRNAs displayed tissue specific expression whereas few were found to be responsive to abiotic stress treatments. Target genes were predicted for miRNAs identified in this study and their grouping into functional categories revealed that the putative targets were involved in diverse biological processes. RLM-RACE of predicted targets of three conserved miRNAs (miR156, miR160 and miR164) confirmed their mRNA cleavage, thus indicating their regulation at post-transcriptional level by corresponding miRNAs. Expression profiling of confirmed target genes of these miRNAs was also performed. Conclusions: This is the first comprehensive study on profiling of miRNAs in a variety of tissues and in response to several abiotic stresses in wheat. Our findings provide valuable resource for better understanding on the role of miRNAs in stress tolerance as well as plant development. Additionally, this information could be utilized for designing wheat plants for enhanced abiotic stress tolerance and higher productivity. Total eight (three stress, one control and four tissue specific small RNA libraries were pepared and sequenced independently [wheat control (WC), wheat high temperature stressed (WHTS), wheat salinity stressed (WSS) and wheat drought stressed (WDS), wheat shoot(WSH), wheat leaf (WLF), wheat flower(WFL), wheat root(WRT)] on Illumina GAIIx

Project description:Within the complex wheat flour proteome, the gluten proteins have attracted most of the attention because of their importance in determining the functional properties of wheat flour doughs and their roles in human health conditions such as celiac disease and food allergies. However, certain non-gluten proteins also trigger immunological responses but may be present in flour in low amounts or obscured by the more abundant gluten proteins in two-dimensional gels of total protein preparations. Non-gluten proteins were preferentially extracted from the flour with a dilute salt solution and separated by two-dimensional gel electrophoresis. Proteins in 172 gel spots were identified by tandem mass spectrometry after cleavage with trypsin or chymotrypsin. Fifty-seven different types of non-gluten proteins were identified, including 14 types that are known or suspected immunogenic proteins. The predominant proteins in 18 gel spots were gluten proteins. Transgenic wheat lines in which specific groups of gluten proteins were suppressed by RNA interference were used to estimate the amount of carry-over of gluten proteins in the salt-soluble protein fraction. Analysis of salt-soluble proteins from a transgenic line missing omega-1,2 gliadins demonstrated that certain omega-1,2 gliadins were present in large amounts in the salt-soluble fraction and obscured relatively small amounts of beta-amylase and protein disulfide isomerase. In comparison, analysis of a transgenic line in which alpha gliadins were absent revealed that glyceraldehyde-3 phosphate dehydrogenase was a moderately abundant protein that co-migrated with several alpha gliadins. The proteomic map of the non-gluten protein fraction of wheat flour developed in this study complements a proteomic map of the total flour proteins developed previously for the same cultivar. Knowing the identities of low abundance proteins in the flour as well as proteins that are hidden by some of the major gluten proteins on two-dimensional gels is critical for studies aimed at assessing the immunogenic potential of wheat flour and determining how the growth conditions of the plants affect the levels of specific immunogenic proteins in the flour.

Project description:Fungal effectors are key determinants of disease development, promoting pathogen growth and spreading in plant tissues. In the wheat/Fusarium graminearum (Fg) interaction determining the Fusarium Head Blight disease (FHB), the molecular bases of Fg aggressiveness remain widely unknown. The aim of this work is to provide a better understanding of Fusarium graminearum aggressiveness determinism during its interaction with bread wheat. Phenotyping in controlled conditions of three fungal strains was carried out on three wheat cultivars contrasted by their susceptibility to FHB. Qualitative and quantitative characterizations of the three strain's whole proteomes expressed in planta have been performed with special interest on effectors and proteins coded by Fg aggressiveness-related genes. Considering all fusaried wheat samples, this experimentation identified 615 unique Fg proteins, including 583 identified in all samples. Furthermore, 71 putative Fg effectors were found in the identified proteins. Among all the fungal proteins quantified, nearly 76% showed significant abundance differences between the Fg strains. Two-way ANOVA were computed to evaluate the contribution of the "Strain" and "Cultivar" factors on the Fg protein abundances. Abundances that were deemed significant to each factor enabled a categorization of the proteins according to the factor(s) that drive(s) the abundance differences. This included: (i) Fg proteins whose abundance differences were specifically explained by the genetic background of the strain (Strain factor, Strain_effect proteins), (ii) Fg proteins whose abundance differences were only explained by the genetic background of the host plant (Cultivar factor, Cultivar_effect proteins), (iii) Fg proteins whose abundance differences were explained by both factors (Strain+Cultivar proteins), and (iv) Fg proteins whose abundance differences observed between strains were dependent on the host cultivar (Strain×Cultivar proteins). Considering each factor individually, a total of 139 Strain_effect proteins, 82 Cultivar_effect proteins, 117 Strain+Cultivar proteins and 2 Strain×Cultivar proteins were identified.