Evidence map›Paper›PMID 27019788›Full record

ArticlePeerJ2016

Evaluation of putative reference genes for quantitative real-time PCR normalization in Lilium regale during development and under stress.

Qiang Liu, Chi Wei, Ming-Fang Zhang, Gui-Xia Jia

Abstract read
In one paragraph

Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  8. Article
  9. Selection of reference genes for quantitative real-time PCR analysis of photosynthesis-related genes expression inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2019
    Article
  10. Article
  11. Transcriptome-Wide Analysis ofFrontiers in plant science · 2017
    Article
  12. Article
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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.

Qiang Liu *Beijing Key Laboratory of Ornamental Plants Germplasm Innovation & Molecular Breeding, National Engineering Research Center for Floriculture, Beijing Laboratory of Urban and Rural Ecological Environment and College of Landscape Architecture, Beijing Forestry University, Beijing, China.
Chi Wei *Beijing Key Laboratory of Ornamental Plants Germplasm Innovation & Molecular Breeding, National Engineering Research Center for Floriculture, Beijing Laboratory of Urban and Rural Ecological Environment and College of Landscape Architecture, Beijing Forestry University, Beijing, China.
Ming-Fang ZhangBeijing Key Laboratory of Ornamental Plants Germplasm Innovation & Molecular Breeding, National Engineering Research Center for Floriculture, Beijing Laboratory of Urban and Rural Ecological Environment and College of Landscape Architecture, Beijing Forestry University, Beijing, China.
Gui-Xia JiaBeijing Key Laboratory of Ornamental Plants Germplasm Innovation & Molecular Breeding, National Engineering Research Center for Floriculture, Beijing Laboratory of Urban and Rural Ecological Environment and College of Landscape Architecture, Beijing Forestry University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Normalization to reference genes is the most common method to avoid bias in real-time quantitative PCR (qPCR), which has been widely used for quantification of gene expression. Despite several studies on gene expression, Lilium, and particularly L. regale, has not been fully investigated regarding the evaluation of reference genes suitable for normalization. In this study, nine putative reference genes, namely 18S rRNA, ACT, BHLH, CLA, CYP, EF1, GAPDH, SAND and TIP41, were analyzed for accurate quantitative PCR normalization at different developmental stages and under different stress conditions, including biotic (Botrytis elliptica), drought, salinity, cold and heat stress. All these genes showed a wide variation in their Cq (quantification Cycle) values, and their stabilities were calculated by geNorm, NormFinder and BestKeeper. In a combination of the results from the three algorithms, BHLH was superior to the other candidates when all the experimental treatments were analyzed together; CLA and EF1 were also recommended by two of the three algorithms. As for specific conditions, EF1 under various developmental stages, SAND under biotic stress, CYP/GAPDH under drought stress, and TIP41 under salinity stress were generally considered suitable. All the algorithms agreed on the stability of SAND and GAPDH under cold stress, while only CYP was selected under heat stress by all of them. Additionally, the selection of optimal reference genes under biotic stress was further verified by analyzing the expression level of LrLOX in leaves inoculated with B. elliptica. Our study would be beneficial for future studies on gene expression and molecular breeding of Lilium.

Indexed as

Abiotic stressBiotic stressDevelopment stagesLilium regaleNormalizationReference genes

Identifiers

PMID27019788
PMCPMC4806604

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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.