Evidence map›Paper›PMID 25793505›Full record

ArticlePloS one2015

Identification of reference genes for quantitative expression analysis of microRNAs and mRNAs in barley under various stress conditions.

Jannatul Ferdous, Yuan Li, Nicolas Reid, Peter Langridge, Bu-Jun Shi, Penny J Tricker

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

37 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
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  7. MicroRNAs expression profiles in early responses to different levels of water deficit inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2022
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  9. Expression of Specific Alleles of Zinc-Finger Transcription Factors,International journal of molecular sciences · 2021
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  17. The BarleyFrontiers in genetics · 2020
    Article
  18. Biosynthesis of Phenylamide Phytoalexins in Pathogen-Infected Barley.International journal of molecular sciences · 2019
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Jannatul FerdousAustralian Centre for Plant Functional Genomics, University of Adelaide, Hartley Grove, Urrbrae, South Australia 5064, Australia.
Yuan LiAustralian Centre for Plant Functional Genomics, University of Adelaide, Hartley Grove, Urrbrae, South Australia 5064, Australia.
Nicolas ReidAustralian Centre for Plant Functional Genomics, University of Adelaide, Hartley Grove, Urrbrae, South Australia 5064, Australia.
Peter LangridgeAustralian Centre for Plant Functional Genomics, University of Adelaide, Hartley Grove, Urrbrae, South Australia 5064, Australia.
Bu-Jun ShiAustralian Centre for Plant Functional Genomics, University of Adelaide, Hartley Grove, Urrbrae, South Australia 5064, Australia.
Penny J TrickerAustralian Centre for Plant Functional Genomics, University of Adelaide, Hartley Grove, Urrbrae, South Australia 5064, Australia.
Australian Centre for Plant Functional Genomics · AUUniversity of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For accurate and reliable gene expression analysis using quantitative real-time reverse transcription PCR (qPCR), the selection of appropriate reference genes as an internal control for normalization is crucial. We hypothesized that non-coding, small nucleolar RNAs (snoRNAs)would be stably expressed in different barley varieties and under different experimental treatments,in different tissues and at different developmental stages of plant growth and therefore might prove to be suitable reference genes for expression analysis of both microRNAs (miRNAs)and mRNAs. In this study, we examined the expression stability of ten candidate reference genes in six barley genotypes under five experimental stresses, drought, fungal infection,boron toxicity, nutrient deficiency and salinity. We compared four commonly used housekeeping genes; Actin (ACT), alpha-Tubulin (α-TUB), Glycolytic glyceraldehyde-3-phosphate dehydrogenase(GAPDH), ADP-ribosylation factor 1-like protein (ADP), four snoRNAs; (U18,U61, snoR14 and snoR23) and two microRNAs (miR168, miR159) as candidate reference genes. We found that ADP, snoR14 and snoR23 were ranked as the best of these candidates across diverse samples. Additionally, we found that miR168 was a suitable reference gene for expression analysis in barley. Finally, we validated the performance of our stable and unstable candidate reference genes for both mRNA and miRNA qPCR data normalization under different stress conditions and demonstrated the superiority of the stable candidates. Our data demonstrate the suitability of barley snoRNAs and miRNAs as potential reference genes form iRNA and mRNA qPCR data normalization under different stress treatments [corrected].

Indexed as

Gene Expression Regulation, PlantGenes, PlantHordeumMicroRNAsReal-Time Polymerase Chain ReactionReference StandardsReproducibility of ResultsRNA, MessengerSoftwareStress, PhysiologicalMicroRNAsRNA, Messenger

Identifiers

PMID25793505
PMCPMC4368757
OpenAlexW2060258781

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.