ArticleBMC research notes2018
Proteomics of the wheat tan spot pathogen Pyrenophora tritici-repentis.
Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Decoding Plant Immunity: Proteomics as a Biotechnological Tool for Crop Improvement.Advances in experimental medicine and biology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
objectivesThe fungus Pyrenophora tritici-repentis is a major pathogen of wheat worldwide, causing the leaf spotting disease tan spot. To best inform approaches for plant genetic resistance, an understanding of the biology and pathogenicity mechanisms of this fungal pathogen is essential. Here, intracellular and extracellular proteins of P. tritici-repentis were extracted, and peptides analysed via high-resolution mass spectrometry. Our objective was to generate a useful proteomics resource for P. tritici-repentis. A survey of proteins secreted by the pathogen into culture filtrate is especially useful, as these are likely to come in direct contact with the wheat host and may play important roles in infection/pathogenicity. The peptide data presented herein, has also been used to successfully verify and refine in silico predicted P. tritici-repentis gene annotations, through the validation of alternative splicing and reading frame shifts. DATA DESCRIPTION: The data sets presented consist of peptide spectra of the extracellular and intracellular proteomes of three P. tritici-repentis isolates. Peptide matches to translated transcripts of the North American reference isolate Pt-1C-BFP are also provided.
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Registered trials
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