Evidence map›Paper›PMID 29535408›Full record

ArticleScientific reports2018

Selection of reference genes for miRNA qRT-PCR under abiotic stress in grapevine.

Meng Luo, Zhen Gao, Hui Li, Qin Li, Caixi Zhang, Wenping Xu, Shiren Song, Chao Ma, Shiping Wang

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
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

46 citing papers in PubMed.

  1. Article
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  12. Review
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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

9 authors.

Meng LuoDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Zhen GaoDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Hui LiDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Qin LiDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Caixi ZhangDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Wenping XuDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Shiren SongDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Chao MaDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China. chaoma2015@sjtu.edu.cn.
Shiping WangDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China. fruit@sjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grapevine is among the fruit crops with high economic value, and because of the economic losses caused by abiotic stresses, the stress resistance of Vitis vinifera has become an increasingly important research area. Among the mechanisms responding to environmental stresses, the role of miRNA has received much attention recently. qRT-PCR is a powerful method for miRNA quantitation, but the accuracy of the method strongly depends on the appropriate reference genes. To determine the most suitable reference genes for grapevine miRNA qRT-PCR, 15 genes were chosen as candidate reference genes. After eliminating 6 candidate reference genes with unsatisfactory amplification efficiency, the expression stability of the remaining candidate reference genes under salinity, cold and drought was analysed using four algorithms, geNorm, NormFinder, deltaCt and Bestkeeper. The results indicated that U6 snRNA was the most suitable reference gene under salinity and cold stresses; whereas miR168 was the best for drought stress. The best reference gene sets for salinity, cold and drought stresses were miR160e + miR164a, miR160e + miR168 and ACT + UBQ + GAPDH, respectively. The selected reference genes or gene sets were verified using miR319 or miR408 as the target gene.

Indexed as

Stress, PhysiologicalAlgorithmsCold TemperatureDroughtsGene Expression ProfilingGene Expression Regulation, PlantMicroRNAsPlant ProteinsReal-Time Polymerase Chain ReactionReference StandardsRNA, PlantSalinityVitisMicroRNAsPlant ProteinsRNA, Plant

Identifiers

PMID29535408
PMCPMC5849727

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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.