Evidence map›Paper›PMID 27564861›Full record

ArticleMolecular plant pathology2017

Maize susceptibility to Ustilago maydis is influenced by genetic and chemical perturbation of carbohydrate allocation.

Matthias Kretschmer, Daniel Croll, James W Kronstad

Open access · bronzeAbstract 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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
9.6field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 68 citations in OpenAlex.

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  8. Sugar Transporters inInternational journal of molecular sciences · 2022
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  19. Sugar Partitioning betweenPlant physiology · 2019
    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

3 authors at 1 institution in 1 country.

Matthias KretschmerMichael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Daniel CrollMichael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
James W KronstadMichael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of biotrophic fungi to metabolically adapt to the host environment is a critical factor in fungal diseases of crop plants. In this study, we analysed the transcriptome of maize tumours induced by Ustilago maydis to identify key features underlying metabolic shifts during disease. Among other metabolic changes, this analysis highlighted modifications during infection in the transcriptional regulation of carbohydrate allocation and starch metabolism. We confirmed the relevance of these changes by establishing that symptom development was altered in an id1 (indeterminate1) mutant that showed increased accumulation of sucrose as well as being defective in the vegetative to reproductive transition. We further established the relevance of specific metabolic functions related to carbohydrate allocation by assaying disease in su1 (sugary1) mutant plants with altered starch metabolism and in plants treated with glucose, sucrose and silver nitrate during infection. We propose that specific regulatory and metabolic changes influence the balance between susceptibility and resistance by altering carbon allocation to promote fungal growth or to influence plant defence. Taken together, these studies reveal key aspects of metabolism that are critical for biotrophic adaptation during the maize-U. maydis interaction.

Indexed as

Gene Expression Regulation, PlantPlant DiseasesPlant LeavesStarchTranscription FactorsUstilagoZea maysStarchTranscription FactorsmaizeRNA-Seqsmutstarchtranscription factorZea mays

Identifiers

PMID27564861
PMCPMC6638311
OpenAlexW2516167961

What OpenQuestion holds

Textmetadata
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.