Evidence map›Paper›PMID 31794584›Full record

ArticlePloS one2019

Selection of appropriate reference genes for quantitative real-time reverse transcription PCR in Betula platyphylla under salt and osmotic stress conditions.

Ziyi Li, Huijun Lu, Zihang He, Chao Wang, Yucheng Wang, Xiaoyu Ji

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. 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
1.5field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Screening of Reference Gene for RT-qPCR inInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Reference Genes Selection and Validation forInternational journal of molecular sciences · 2024
    Article
  5. Article
  6. Article
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  13. Article
  14. Identification of Ginger (Frontiers in genetics · 2020
    Article
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

6 authors at 2 institutions in 1 country.

Ziyi LiCollege of Forestry, Shenyang Agricultural University, Shenyang, China.
Huijun LuState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, China.
Zihang HeState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, China.
Chao WangState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, China.
Yucheng WangCollege of Forestry, Shenyang Agricultural University, Shenyang, China.
Xiaoyu JiCollege of Forestry, Shenyang Agricultural University, Shenyang, China.ORCID 0000-0002-9996-1375
Northeast Forestry University · CNShenyang Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selecting appropriate reference genes is vital to normalize gene expression analysis in birch (Betula platyphylla) under different abiotic stress conditions using quantitative real-time reverse transcription PCR (qRT-PCR). In this study, 11 candidate birch reference genes (ACT, TUA, TUB, TEF, 18S rRNA, EF1α, GAPDH, UBC, YLS8, SAND, and CDPK) were selected to evaluate the stability of their expression in different tissues and under different abiotic stress conditions. Three statistical algorithms (GeNorm, NormFinder, and BestKeeper) were used to analyze the stability of the 11 candidate reference genes to identify the most appropriate one. The results indicated that EF-1α was the most stable reference gene in different birch tissues, ACT was the most stable reference gene for normal conditions, ACT and TEF were the most stable reference genes for salt stress treatment, TUB was the most stable reference gene for osmotic stress treatment, and ACT was the most appropriate choice in all samples of birch. In conclusion, the most appropriate reference genes varied among different experimental conditions. However, in this study, ACT was the optimum reference gene in all experimental groups, except in the different tissues group. GAPDH was the least stable candidate reference gene in all experimental conditions. In addition, three stress-induced genes (BpGRAS1, BpGRAS16, and BpGRAS19) were chosen to verify the stability of the selected reference genes in different tissues and under salt stress. This study laid the foundation for the selection of appropriate reference gene(s) for future gene expression pattern studies in birch.

Indexed as

Gene Expression Regulation, PlantGenes, PlantOsmotic PressureAdaptation, BiologicalBetulaComputational BiologyReproducibility of ResultsSalt StressTranscriptome

Identifiers

PMID31794584
PMCPMC6890252
OpenAlexW2991801759

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.