Evidence map›Paper›PMID 28466509›Full record

ArticleMolecular plant pathology2017

A spatial temporal analysis of the Fusarium graminearum transcriptome during symptomless and symptomatic wheat infection.

Neil A Brown, Jess Evans, Andrew Mead, Kim E Hammond-Kosack

Open access · hybridAbstract read
In one paragraph

Article in Molecular plant pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
12.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 83 citations in OpenAlex.

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  10. Pathogens (Basel, Switzerland) · 2025
    Review
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  15. Article
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  17. mSphere · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Neil A BrownDepartment of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK.
Jess EvansComputational and Analytical Sciences, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK.
Andrew MeadComputational and Analytical Sciences, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK.
Kim E Hammond-KosackDepartment of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK.
Rothamsted Research · GB

Funding

Biotechnology and Biological Sciences Research Council BB/I000488/1Biotechnology and Biological Sciences Research Council BB/J/00426X/1Biotechnology and Biological Sciences Research Council BB/J/004383/1Biotechnology and Biological Sciences Research Council BB/N011686/1Biotechnology and Biological Sciences Research Council BB/P016855/1Biotechnology and Biological Sciences Research Council B/K020056/1
6 · The paper itself

Abstract

Fusarium head blight of wheat is one of the most serious and hazardous crop diseases worldwide. Here, a transcriptomic investigation of Fusarium graminearum reveals a new model for symptomless and symptomatic wheat infection. The predicted metabolic state and secretome of F. graminearum were distinct within symptomless and symptomatic wheat tissues. Transcripts for genes involved in the biosynthesis of the mycotoxin, deoxynivalenol, plus other characterized and putative secondary metabolite clusters increased in abundance in symptomless tissue. Transcripts encoding for genes of distinct groups of putative secreted effectors increased within either symptomless or symptomatic tissue. Numerous pathogenicity-associated gene transcripts and transcripts representing PHI-base mutations that impacted on virulence increased in symptomless tissue. In contrast, hydrolytic carbohydrate-active enzyme (CAZyme) and lipase gene transcripts exhibited a different pattern of expression, resulting in elevated transcript abundance during the development of disease symptoms. Genome-wide comparisons with existing datasets confirmed that, within the wheat floral tissue, at a single time point, different phases of infection co-exist, which are spatially separated and reminiscent of both early and late infection. This study provides novel insights into the combined spatial temporal coordination of functionally characterized and hypothesized virulence strategies.

Indexed as

FusariumMycotoxinsSpatio-Temporal AnalysisTranscriptomeTrichothecenesTriticumdeoxynivalenolMycotoxinsTrichothecenesdeoxynivalenolfungal effectorsFusarium head blightsecondary metabolismsymptomless diseasetranscriptomewheat

Identifiers

PMID28466509
PMCPMC5697668
OpenAlexW2610178578

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.