Evidence map›Paper›PMID 28414734›Full record

ArticlePloS one2017

microRNAs as reference genes for quantitative PCR in cotton.

Anna Karoline Silva Fausto, Tatiane da Franca Silva, Elisson Romanel, Maite F S Vaslin

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Anna Karoline Silva FaustoLab. Virologia Molecular Vegetal, Depto. Virologia, IMPPG, Universidade Federal do Rio de Janeiro, UFRJ, Rio de Janeiro, RJ, Brasil.
Tatiane da Franca SilvaLab. Virologia Molecular Vegetal, Depto. Virologia, IMPPG, Universidade Federal do Rio de Janeiro, UFRJ, Rio de Janeiro, RJ, Brasil.
Elisson RomanelLab. Virologia Molecular Vegetal, Depto. Virologia, IMPPG, Universidade Federal do Rio de Janeiro, UFRJ, Rio de Janeiro, RJ, Brasil.
Maite F S VaslinLab. Virologia Molecular Vegetal, Depto. Virologia, IMPPG, Universidade Federal do Rio de Janeiro, UFRJ, Rio de Janeiro, RJ, Brasil.
Universidade de São Paulo · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton (Gossypium hirsutum) is the most important non-food plant in the world. Studies concerning the fiber quality and plant fitness of cotton at molecular level depend on high sensitive and reproducible gene-expression assays. However, only a few reports have described genes suitable for normalizing gene expression data. In this study, we report for the first time that microRNAs (miRNAs) are reliable reference genes (RGs) for cotton gene expression normalization in quantitative real-time reverse transcription (RT)-PCR. The stability of cotton miRNAs was assayed in root, stem, leaf and flower samples from three different cultivars [FiberMax (FM966), Delta Opal (DO) and Cedro] and under conditions of biotic stress caused by infection with Cotton leafroll dwarf virus (CLRDV). The stability of mRNAs already described as reference genes in cotton was also assessed. The geNorm, NormFinder, BestKeeper and ΔCt algorithms were used to select the best reference genes. In 8 of the 12 sets tested, miRNAs (miR172, 168 and 390) were found to be the best RGs. To validate the best selected RGs, miR159, miR164, miR2118, miR2910, miR3476, GhDCL2 and GhDCL4 expression levels were evaluated under biotic stress conditions, and miR164 and a putative myo-inositol oxigenase gene (GhMIOX) were assessed in leaves and flowers. The RGs selected in this work proved to be excellent reference genes in the two cases studied. Our results support the use of miRNAs as reference genes for miRNA and protein-coding genes.

Indexed as

Genes, PlantFlowersGene Expression ProfilingGossypiumMicroRNAsPlant DiseasesPlant LeavesPlant RootsPlant StemsReal-Time Polymerase Chain ReactionRNA, PlantMicroRNAsRNA, Plant

Identifiers

PMID28414734
PMCPMC5393557
OpenAlexW2606894732

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.