Evidence map›Paper›PMID 24498321›Full record

ArticlePloS one2014

Validation of reference genes aiming accurate normalization of qRT-PCR data in Dendrocalamus latiflorus Munro.

Mingying Liu, Jing Jiang, Xiaojiao Han, Guirong Qiao, Renying Zhuo

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

  1. Genome-Wide Identification and Role of theInternational journal of molecular sciences · 2024
    Article
  2. Selection and Validation of Reference Genes inPlants (Basel, Switzerland) · 2024
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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.

Mingying LiuState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, People's Republic of China ; The Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, People's Republic of China.
Jing JiangState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, People's Republic of China ; The Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, People's Republic of China.
Xiaojiao HanState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, People's Republic of China ; The Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, People's Republic of China.
Guirong QiaoState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, People's Republic of China ; The Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, People's Republic of China.
Renying ZhuoState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, People's Republic of China ; The Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDendrocalamus latiflorus Munro distributes widely in subtropical areas and plays vital roles as valuable natural resources. The transcriptome sequencing for D. latiflorus Munro has been performed and numerous genes especially those predicted to be unique to D. latiflorus Munro were revealed. qRT-PCR has become a feasible approach to uncover gene expression profiling, and the accuracy and reliability of the results obtained depends upon the proper selection of stable reference genes for accurate normalization. Therefore, a set of suitable internal controls should be validated for D. latiflorus Munro.

resultsIn this report, twelve candidate reference genes were selected and the assessment of gene expression stability was performed in ten tissue samples and four leaf samples from seedlings and anther-regenerated plants of different ploidy. The PCR amplification efficiency was estimated, and the candidate genes were ranked according to their expression stability using three software packages: geNorm, NormFinder and Bestkeeper. GAPDH and EF1α were characterized to be the most stable genes among different tissues or in all the sample pools, while CYP showed low expression stability. RPL3 had the optimal performance among four leaf samples. The application of verified reference genes was illustrated by analyzing ferritin and laccase expression profiles among different experimental sets. The analysis revealed the biological variation in ferritin and laccase transcript expression among the tissues studied and the individual plants.

conclusionsgeNorm, NormFinder, and BestKeeper analyses recommended different suitable reference gene(s) for normalization according to the experimental sets. GAPDH and EF1α had the highest expression stability across different tissues and RPL3 for the other sample set. This study emphasizes the importance of validating superior reference genes for qRT-PCR analysis to accurately normalize gene expression of D. latiflorus Munro.

Indexed as

Gene Expression Regulation, PlantComputational BiologyGene Expression ProfilingGenes, PlantGlyceraldehyde-3-Phosphate DehydrogenasesPeptide Elongation Factor 1Plant ProteinsPoaceaeReference StandardsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRibosomal Protein L3Ribosomal ProteinsSoftwareGlyceraldehyde-3-Phosphate DehydrogenasesPeptide Elongation Factor 1Plant ProteinsRibosomal Protein L3Ribosomal Proteins

Identifiers

PMID24498321
PMCPMC3911976

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