Evidence map›Paper›PMID 37845678›Full record

ArticleJournal of nanobiotechnology2023

Nano-selenium enhances melon resistance to Podosphaera xanthii by enhancing the antioxidant capacity and promoting alterations in the polyamine, phenylpropanoid and hormone signaling pathways.

Lu Kang, Yangliu Wu, Yujiao Jia, Zhendong Chen, Dexian Kang, Li Zhang, Canping Pan

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
13.9field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 35 citations in OpenAlex.

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  11. Genome-Wide Identification and Characterisation of theInternational journal of molecular sciences · 2025
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  12. Review
  13. PbrMYB14 Enhances Pear Resistance toInternational journal of molecular sciences · 2025
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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

7 authors at 4 institutions in 1 country.

Lu KangKey Laboratory of National Forestry and Grassland Administration on Pest Chemical Control & Innovation Center of Pesticide Research, College of Science, China Agricultural University, 2 Yuanmingyuan Western Road, Haidian District, Beijing, 100193, China.
Yangliu WuKey Laboratory of National Forestry and Grassland Administration on Pest Chemical Control & Innovation Center of Pesticide Research, College of Science, China Agricultural University, 2 Yuanmingyuan Western Road, Haidian District, Beijing, 100193, China.
Yujiao JiaKey Laboratory of National Forestry and Grassland Administration on Pest Chemical Control & Innovation Center of Pesticide Research, College of Science, China Agricultural University, 2 Yuanmingyuan Western Road, Haidian District, Beijing, 100193, China.
Zhendong ChenVegetable Research Institute, Guangxi Zhuang Autonomous Region Academy of Agricultural Sciences, Nanning, 530000, China.
Dexian KangVegetable Research Institute, Guangxi Zhuang Autonomous Region Academy of Agricultural Sciences, Nanning, 530000, China.
Li ZhangVegetable Research Institute, Guangxi Zhuang Autonomous Region Academy of Agricultural Sciences, Nanning, 530000, China.
Canping PanKey Laboratory of National Forestry and Grassland Administration on Pest Chemical Control & Innovation Center of Pesticide Research, College of Science, China Agricultural University, 2 Yuanmingyuan Western Road, Haidian District, Beijing, 100193, China. canpingp@cau.edu.cn.
Guangxi Academy of Agricultural Science · CNChina Agricultural University · CNUniversity of Jinan · CNXinjiang Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Powdery mildew is one of the main problematic diseases in melon production, requiring the use of chemical pesticides with disease-resistant cultivars for control. However, the often rapid acquisition of fungicidal resistance by mildew pathogens makes this practice unsustainable. The identification of crop treatments that can enhance resistance to powdery mildew resistance is therefore important to reduce melon crop attrition. This study indicates that the application of Nano-Se can reduce the powdery mildew disease index by 21-45%. The Nano-Se treatment reduced reactive oxygen species (ROS) and malondialdehyde (MDA) accumulation, with increases in glutathione (GSH), proline and 1,1-Diphenyl-2-picrylhydrazyl radical (DPPH). Increases were also observed in the activities and transcriptional levels of the antioxidant enzymes superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX) and peroxidase (POD). Assays with four different cultivars of melon with differing levels of mildew resistance demonstrated that relative to the control, the Nano-Se treatment resulted in larger responses to mildew infection, including increases in the levels of putrescine (PUT; 43-112%) and spermine (SPM; 36-118%), indoleacetic acid (IAA; 43-172%) and salicylic acid (SA; 24-73%), the activities of phenylalanine ammonium lyase (PAL), trans-cinnamate 4-hydroxylase (C4H) and 4-coumarate: Co A ligase (4CL) of the phenylpropanoid pathway (22-38%, 24-126% and 19-64%, respectively). Key genes in the polyamine and phenylpropanoid pathway were also upregulated. These results indicate that the foliar application of Nano-Se improved melon defenses against powdery mildew infection, with a significant reduction in mildew disease development.

Indexed as

AscomycotaCucurbitaceaeSeleniumAntioxidantsGlutathioneHormonesPolyaminesSignal TransductionAntioxidantsGlutathioneHormonesPolyaminesSeleniumMelonNano-SePolyaminePowdery mildewSalicylic acid

Identifiers

PMID37845678
PMCPMC10577987
OpenAlexW4387672396

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.