Evidence map›Paper›PMID 27321675›Full record

ArticleScientific reports2016

Selection of reliable reference genes for RT-qPCR analysis during developmental stages and abiotic stress in Setaria viridis.

Polyana Kelly Martins, Valéria Mafra, Wagner Rodrigo de Souza, Ana Paula Ribeiro, Felipe Vinecky, Marcos Fernando Basso, Bárbara Andrade Dias Brito da Cunha, Adilson Kenji Kobayashi, Hugo Bruno Correa Molinari

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
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  3. Harnessing Setaria as a Model for CPlants (Basel, Switzerland) · 2025
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  10. 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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  12. Article
  13. Article
  14. Multi-omics intervention inFrontiers in plant science · 2022
    Review
  15. Article
  16. The Characteristics of Mercury Flux at the Interfaces between Two Typical Plants and the Air inInternational journal of environmental research and public health · 2021
    Article
  17. Efficient genome editing and gene knockout inPlant biotechnology (Tokyo, Japan) · 2021
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  18. Comparative Transcriptome Profiling ofPlants (Basel, Switzerland) · 2021
    Article
  19. Article
  20. Plant science's next top models.Annals of botany · 2020
    Review
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.

Polyana Kelly MartinsGenetics and Biotechnology Laboratory, Embrapa Agroenergy (CNPAE), Brasília, DF, 70770-901, Brazil.
Valéria MafraBrazilian Bioethanol Science and Technology Laboratory/Brazilian Center of Research in Energy and Materials, Campinas, SP, 13083-100, Brazil.
Wagner Rodrigo de SouzaGenetics and Biotechnology Laboratory, Embrapa Agroenergy (CNPAE), Brasília, DF, 70770-901, Brazil.
Ana Paula RibeiroGenetics and Biotechnology Laboratory, Embrapa Agroenergy (CNPAE), Brasília, DF, 70770-901, Brazil.
Felipe VineckyGenetics and Biotechnology Laboratory, Embrapa Agroenergy (CNPAE), Brasília, DF, 70770-901, Brazil.
Marcos Fernando BassoGenetics and Biotechnology Laboratory, Embrapa Agroenergy (CNPAE), Brasília, DF, 70770-901, Brazil.
Bárbara Andrade Dias Brito da CunhaGenetics and Biotechnology Laboratory, Embrapa Agroenergy (CNPAE), Brasília, DF, 70770-901, Brazil.
Adilson Kenji KobayashiGenetics and Biotechnology Laboratory, Embrapa Agroenergy (CNPAE), Brasília, DF, 70770-901, Brazil.
Hugo Bruno Correa MolinariGenetics and Biotechnology Laboratory, Embrapa Agroenergy (CNPAE), Brasília, DF, 70770-901, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time PCR (RT-qPCR) expression analysis is a powerful analytical technique, but reliable results depend on the use of stable reference genes for proper normalization. This study proposed to test the expression stability of 13 candidate reference genes in Setaria viridis, a monocot species recently proposed as a new C4 model plant. Gene expression stability of these genes was assayed across different tissues and developmental stages of Setaria and under drought or aluminum stress. In general, our results showed Protein Kinase, RNA Binding Protein and SDH as the most stable genes. Moreover, pairwise analysis showed that two reference genes were sufficient to normalize the gene expression data under each condition. By contrast, GAPDH and ACT were the least stably expressed genes tested. Validation of suitable reference genes was carried out to profile the expression of P5CS and GolS during abiotic stress. In addition, normalization of gene expression of SuSy, involved in sugar metabolism, was assayed in the developmental dataset. This study provides a list of reliable reference genes for transcript normalization in S. viridis in different tissues and stages of development and under abiotic stresses, which will facilitate genetic studies in this monocot model plant.

Indexed as

DroughtsGene Expression Regulation, PlantReal-Time Polymerase Chain ReactionAlgorithmsAluminumGene Expression ProfilingGene Expression Regulation, DevelopmentalGenes, PlantPlant ProteinsSetaria PlantStress, PhysiologicalAluminumPlant Proteins

Identifiers

PMID27321675
PMCPMC4913262

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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.