Evidence map›Paper›PMID 30799510›Full record

ArticleArchives of virology2019

Expression profiling and regulatory network of cucumber microRNAs and their putative target genes in response to cucumber green mottle mosaic virus infection.

Chaoqiong Liang, Huawei Liu, Jianjun Hao, Jianqiang Li, Laixin Luo

Open access · hybridAbstract read
In one paragraph

Article in Archives of virology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. RNA silencing: the future potential strategy for engineering virus resistance in plants.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Review
  3. Differential expression of microRNAs in response toFrontiers in plant science · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. RNA interference and crop protection against biotic stresses.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Review
  8. Article
  9. Genome-Wide Characterization and Expression Analysis of theInternational journal of molecular sciences · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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

5 authors at 3 institutions in 2 countries.

Chaoqiong LiangDepartment of Plant Pathology, China Agricultural University, Beijing, 100193, People's Republic of China.
Huawei LiuCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
Jianjun HaoSchool of Food and Agriculture, The University of Maine, Orono, ME, 04469, USA.
Jianqiang LiDepartment of Plant Pathology, China Agricultural University, Beijing, 100193, People's Republic of China.
Laixin LuoDepartment of Plant Pathology, China Agricultural University, Beijing, 100193, People's Republic of China. luolaixin@cau.edu.cn.
China Agricultural University · CNNanjing Agricultural University · CNUniversity of Maine · US

Funding

National Key Research and Development Program of China 2017YFD0201601National Science Foundation of China 31371910
6 · The paper itself

Abstract

Cucumber green mottle mosaic virus (CGMMV) is an important pathogen of cucumber (Cucumis sativus). The molecular mechanisms mediating host-pathogen interactions are likely to be strongly influenced by microRNAs (miRNAs), which are known to regulate gene expression during the disease cycle. This study focused on 14 miRNAs (miR159, miR169, miR172, miR838, miR854, miR5658, csa-miRn1-3p, csa-miRn2-3p, csa-miRn3-3p, csa-miRn4-5p, csa-miRn5-5p, csa-miRn6-3p, csa-miRn7-5p and csa-miRn8-3p) and their target genes. The data collected was used to construct a regulatory network of miRNAs and target genes associated with cucumber-CGMMV interactions, which identified 608 potential target genes associated with all of the miRNAs except csa-miRn7-5p. Five of the miRNAs (miR159, miR838, miR854, miR5658 and csa-miRn6-3p) were found to be mutually linked by target genes, while another eight (miR169, miR172, csa-miRn1-3p, csa-miRn2-3p, csa-miRn3-3p, csa-miRn4-5p, csa-miRn5-5p and csa-miRn8-3p) formed subnetworks that did not display any connectivity with other miRNAs or their target genes. Reverse transcription quantitative real-time PCR (RT-qPCR) was used to analyze the expression levels of the different miRNAs and their putative target genes in leaf, stem and root samples of cucumber over a 42-day period after inoculation with CGMMV. A positive correlation was found between some of the miRNAs and their respective target genes, although for most, the response varied greatly depending on the time point, indicating that additional factors are likely to be involved in the interaction between cucumber miRNAs and their target genes. Several miRNAs, including miR159 and csa-miRn6-3p, were linked to target genes that have been associated with plant responses to disease. A model linking miRNAs, their targets and downstream biological processes is proposed to indicate the roles of these miRNAs in the cucumber-CGMMV pathosystem.

Indexed as

Cucumis sativusGene Expression ProfilingGene Regulatory NetworksHost-Pathogen InteractionsMicroRNAsPlant DiseasesPlant LeavesRNA, PlantTobamovirusMicroRNAsRNA, Plant

Identifiers

PMID30799510
PMCPMC6420491
OpenAlexW2917401884

What OpenQuestion holds

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LicenceCC BY
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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.