ArticlePloS one2017
Evaluation of Reference Genes for Normalization of Gene Expression Using Quantitative RT-PCR under Aluminum, Cadmium, and Heat Stresses in Soybean.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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.
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.
Who cites it
33 citing papers in PubMed.
- Comparative Analysis of Full-Length Reference Gene Stability inPlants (Basel, Switzerland) · 2026Article
- Article
- Lipidomics reveals divergent root and shoot responses to combined nitrogen deficiency and heat stress.Frontiers in plant science · 2026Article
- Exploration and genetic analyses of canopy leaf pigmentation changes in soybean (Glycine max L.): unveiling a novel phenotype.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Article
- Article
- Article
- Identification of reference genes for expression studies in the liver and spleen of laying hens housed in cage and cage-free systems.Open veterinary journal · 2023Article
- Article
- Systematic identification of reference genes for qRT-PCR ofFrontiers in plant science · 2023Article
- Uncovering transcriptional reprogramming during callus development in soybean: insights and implications.Frontiers in plant science · 2023Article
- Systematic screening and validation of reliable reference genes for qRT-PCR analysis in Okra (Abelmoschus esculentus L.).Scientific reports · 2022Article
- Reference Genes and Expression Analysis of Seed Desaturases Genes in Soybean Mutant Accessions.Biochemical genetics · 2022Article
- Reference gene selection for quantitative RT-PCR in Miscanthus sacchariflorus under abiotic stress conditions.Molecular biology reports · 2022Article
- Selection and Validation of Reference Genes for Quantitative Real-Time PCR Analysis of Development and Tissue-Dependent Flower Color Formation inInternational journal of molecular sciences · 2022Article
- Selection and Evaluation of Candidate Reference Genes for Quantitative Real-Time PCR in Aboveground Tissues and Drought Conditions inFrontiers in genetics · 2022Article
- Genome-wide identification and analysis ofFrontiers in genetics · 2022Article
- Cadmium uncouples mitochondrial oxidative phosphorylation and induces oxidative cellular stress in soybean roots.Environmental science and pollution research international · 2021Article
- Identification and validation of reference genes for qRT-PCR based studies in horse gram (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative reverse transcription polymerase chain reaction (qRT-PCR) is widely used to analyze the relative gene expression level, however, the accuracy of qRT-PCR is greatly affected by the stability of reference genes, which is tissue- and environment- dependent. Therefore, choosing the most stable reference gene in a specific tissue and environment is critical to interpret gene expression patterns. Aluminum (Al), cadmium (Cd), and heat stresses are three important abiotic factors limiting soybean (Glycine max) production in southern China. To identify the suitable reference genes for normalizing the expression levels of target genes by qRT-PCR in soybean response to Al, Cd and heat stresses, we studied the expression stability of ten commonly used housekeeping genes in soybean roots and leaves under these three abiotic stresses, using five approaches, BestKeeper, Delta Ct, geNorm, NormFinder and RefFinder. We found TUA4 is the most stable reference gene in soybean root tips under Al stress. Under Cd stress, Fbox and UKN2 are the most stable reference genes in roots and leaves, respectively, while 60S is the most suitable reference gene when analyzing both roots and leaves together. For heat stress, TUA4 and UKN2 are the most stable housekeeping genes in roots and leaves, respectively, and UKN2 is the best reference gene for analysis of roots and leaves together. To validate the reference genes, we quantified the relative expression levels of six target genes that were involved in soybean response to Al, Cd or heat stresses, respectively. The expression patterns of these target genes differed between using the most and least stable reference genes, suggesting the selection of a suitable reference gene is critical for gene expression studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.