ArticleCurrent microbiology2018
iTRAQ-Based Proteomic Analysis of Wheat Bunt Fungi Tilletia controversa, T. caries, and T. foetida.
Article in Current microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Decoding Plant Immunity: Proteomics as a Biotechnological Tool for Crop Improvement.Advances in experimental medicine and biology · 2026Review
- Kernel Transcriptome Profiles of Susceptible Wheat Genotypes in Response to Wheat Dwarf Bunt.International journal of molecular sciences · 2023Article
- Intelligent reprogramming of wheat for enhancement of fungal and nematode disease resistance using advanced molecular techniques.Frontiers in plant science · 2023Review
- Deciphering the Host-Pathogen Interactome of the Wheat-Common Bunt System: A Step towards Enhanced Resilience in Next Generation Wheat.International journal of molecular sciences · 2022Article
- Discrimination of Tilletia controversa from the T. caries/T. laevis complex by MALDI-TOF MS analysis of teliospores.Applied microbiology and biotechnology · 2022Article
- Transcriptome analysis of wheat spikes in response to Tilletia controversa Kühn which cause wheat dwarf bunt.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
This is the first study of proteomics of wheat bunt fungi Tilletia controversa (TCK), T. caries (TCT), and T. foetida (TFL) using the iTRAQ technique. Based on the relative quantities of specific proteins between each two pathogens, we found 50 up-regulated and 80 down-regulated protein genes in TCK compared to TFL, 62 up-regulated and 82 down-regulated protein genes in TCT compared to TFL, 47 up-regulated and 30 down-regulated protein genes in TCK compared to TCT, and there were 1 protein of up-regulated and 4 proteins of down-regulated in the three pairs. These protein data could be of great value for exploring the key proteins which play an important role in the interactions of these pathogens with their host. Some of them could be valuable for differentiating the three pathogens with monoclonal antibodies produced by the specific proteins and may enable in-site detection of the pathogens and performing routine monitoring as a diagnostic assay in wheat shipments.
Indexed as
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Registered trials
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