Evidence map›Paper›PMID 28520093›Full record

ArticleMolecular plant pathology2018

Verticillium dahliae transcription factor VdFTF1 regulates the expression of multiple secreted virulence factors and is required for full virulence in cotton.

Wen-Qi Zhang, Yue-Jing Gui, Dylan P G Short, Ting-Gang Li, Dan-Dan Zhang, Lei Zhou, Chun Liu, Yu-Ming Bao, Krishna V Subbarao, Jie-Yin Chen and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular plant pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
8.1field-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

31 citing papers in PubMed, 62 citations in OpenAlex.

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  8. International journal of molecular sciences · 2023
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  11. Interactions betweenFrontiers in plant science · 2023
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  16. The Transcription FactorFrontiers in microbiology · 2022
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  17. Computational Analysis of HTS Data and Its Application in Plant Pathology.Methods in molecular biology (Clifton, N.J.) · 2022
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  18. The NecrotrophFrontiers in plant science · 2022
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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

11 authors at 3 institutions in 2 countries.

Wen-Qi ZhangLaboratory of Cotton Disease, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Yue-Jing GuiLaboratory of Cotton Disease, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Dylan P G ShortDepartment of Plant Pathology, University of California, Davis, CA 95616, USA.
Ting-Gang LiLaboratory of Cotton Disease, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Dan-Dan ZhangLaboratory of Cotton Disease, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Lei ZhouLaboratory of Cotton Disease, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Chun LiuBGI-Shenzhen, Shenzhen, Guangdong 518083, China.
Yu-Ming BaoLaboratory of Cotton Disease, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Krishna V SubbaraoDepartment of Plant Pathology, University of California, Davis, CA 95616, USA.
Jie-Yin ChenLaboratory of Cotton Disease, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Xiao-Feng DaiLaboratory of Cotton Disease, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Institute of Food Science and Technology · CNUniversity of California, Davis · USBGI Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal transcription factors (TFs) implicated in the regulation of virulence gene expression have been identified in a number of plant pathogens. In Verticillium dahliae, despite its agricultural importance, few regulators of transcription have been characterized. In this study, a T-DNA insertion mutant with significantly reduced virulence towards cotton was identified. The T-DNA was traced to VdFTF1, a gene encoding a TF containing a Fungal_trans domain. Transient expression in onion epidermal cells indicated that VdFTF1 is localized to the nucleus. The VdFTF1-deletion strains displayed normal vegetative growth, mycelial pigmentation and conidial morphology, but exhibited significantly reduced virulence on cotton, suggesting that VdFTF1 is required exclusively for pathogenesis. Comparisons of global transcription patterns of wild-type and VdFTF1-deletion strains indicated that VdFTF1 affected the expression of 802 genes, 233 of which were associated with catalytic processes. These genes encoded 69 potentially secreted proteins, 43 of which contained a carbohydrate enzyme domain known to participate in pathogenesis during infection of cotton. Targeted gene deletion of one VdFTF1-regulated gene resulted in significantly impaired vascular colonization, as measured by quantitative polymerase chain reaction, as well as aggressiveness and symptom severity in cotton. In conclusion, VdFTF1, which encodes a TF containing a Fungal_trans domain, regulates the gene expression of plant cell wall degradation enzymes in V. dahliae, which are required for full virulence on cotton.

Indexed as

Fungal ProteinsGene Expression Regulation, FungalGossypiumPlant DiseasesTranscription FactorsVerticilliumVirulenceVirulence FactorsFungal ProteinsTranscription FactorsVirulence FactorsCAZymesFungal pathogenesisFungal_trans domain containing proteinRNA-seqSecreted proteinsTranscriptomicsVerticillium wilt

Identifiers

PMID28520093
PMCPMC6638078
OpenAlexW2615598163

What OpenQuestion holds

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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.