Evidence map›Paper›PMID 29543906›Full record

ArticlePloS one2018

Identifying optimal reference genes for the normalization of microRNA expression in cucumber under viral stress.

Chaoqiong Liang, Jianjun Hao, Yan Meng, Laixin Luo, Jianqiang Li

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Identification of circRNAs in industrial hemp (Frontiers in plant science · 2026
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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

5 authors at 2 institutions in 2 countries.

Chaoqiong LiangDepartment of Plant Pathology, China Agricultural University/Key Laboratory of Plant Pathology, Ministry of Agriculture, Beijing, China.
Jianjun HaoSchool of Food and Agriculture, The University of Maine, Orono, Maine, United States of America.
Yan MengDepartment of Plant Pathology, China Agricultural University/Key Laboratory of Plant Pathology, Ministry of Agriculture, Beijing, China.
Laixin LuoDepartment of Plant Pathology, China Agricultural University/Key Laboratory of Plant Pathology, Ministry of Agriculture, Beijing, China.
Jianqiang LiDepartment of Plant Pathology, China Agricultural University/Key Laboratory of Plant Pathology, Ministry of Agriculture, Beijing, China.
China Agricultural University · CNUniversity of Maine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cucumber green mottle mosaic virus (CGMMV) is an economically important pathogen and causes significant reduction of both yield and quality of cucumber (Cucumis sativus). Currently, there were no satisfied strategies for controlling the disease. A better understanding of microRNA (miRNA) expression related to the regulation of plant-virus interactions and virus resistance would be of great assistance when developing control strategies for CGMMV. However, accurate expression analysis is highly dependent on robust and reliable reference gene used as an internal control for normalization of miRNA expression. Most commonly used reference genes involved in CGMMV-infected cucumber are not universally expressed depending on tissue types and stages of plant development. It is therefore crucial to identify suitable reference genes in investigating the role of miRNA expression. In this study, seven reference genes, including Actin, Tubulin, EF-1α, 18S rRNA, Ubiquitin, GAPDH and Cyclophilin, were evaluated for the most accurate results in analyses using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Gene expression was assayed on cucumber leaves, stems and roots that were collected at different days post inoculation with CGMMV. The expression data were analyzed using algorithms including delta-Ct, geNorm, NormFinder, and BestKeeper as well as the comparative tool RefFinder. The reference genes were subsequently validated using miR159. The results showed that EF-1α and GAPDH were the most reliable reference genes for normalizing miRNA expression in leaf, root and stem samples, while Ubiquitin and EF-1α were the most suitable combination overall.

Indexed as

Gene Expression Regulation, PlantAlgorithmsCucumis sativusGene Expression ProfilingGenes, PlantHost-Pathogen InteractionsMicroRNAsPlant DiseasesPlant LeavesPlant RootsPlant StemsReference StandardsReverse Transcriptase Polymerase Chain ReactionTobamovirusMicroRNAs

Identifiers

PMID29543906
PMCPMC5854380
OpenAlexW2791405161

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.