ArticlePloS one2012
Evaluation of candidate reference genes for normalization of quantitative RT-PCR in soybean tissues under various abiotic stress conditions.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 79 papers, 2 of them syntheses that pooled it.
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Who cites it
79 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-analysis of plant growth-promoting rhizobacteria interaction with host plants: implications for drought stress response gene expression.Frontiers in plant science · 2023Pooled it
- Using RNA-Seq Data to Evaluate Reference Genes Suitable for Gene Expression Studies in Soybean.PloS one · 2015Pooled it
- Discovery of specific rhizosphere bacteriaScience advances · 2026Article
- Selection and Validation of Reference Genes for qRT-PCR Analysis inPlants (Basel, Switzerland) · 2026Article
- Genome-wide analysis of the MYB gene family and its stress-responsive expression under salinity and drought in sesame.Scientific reports · 2026Article
- Optimizing reference gene selection for accurate gene expression analysis in plants.Plant signaling & behavior · 2025Review
- Heterologous expression of soybean E3 ubiquitin ligase Glycine max Ring Zinc Finger 1-Like 1 (GmRZFL1) negatively responds to osmotic stress by participating in the abscisic acid signaling pathway in Arabidopsis.BMC plant biology · 2025Article
- Sustainable lentil intensification in rice-fallow systems through bioaugmentation with atypical rhizobia and endophytes modulates rhizosphere and nodule microbiome dynamics.BMC plant biology · 2025Article
- Cell-type-specific response to silicon treatment in soybean leaves revealed by single-nucleus RNA sequencing and targeted gene editing.The Plant journal : for cell and molecular biology · 2025Article
- H2O2-dependent oxidation of the transcription factor GmNTL1 promotes salt tolerance in soybean.The Plant cell · 2023Article
- Transcriptomic analysis of humic acid in relieving the inhibitory effect of high nitrogen on soybean nodulation.Frontiers in plant science · 2023Article
- KARRIKIN UPREGULATED F-BOX 1 negatively regulates drought tolerance in Arabidopsis.Plant physiology · 2022Article
- Isolation and Functional Characterization of Soybean BES1/BZR1 Homolog 3-Like 1 (GmBEH3L1) Associated with Dehydration Sensitivity and Brassinosteroid Signaling in Arabidopsis thalianaPlants (Basel, Switzerland) · 2022Article
- Reference Genes and Expression Analysis of Seed Desaturases Genes in Soybean Mutant Accessions.Biochemical genetics · 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
- Reference genes identification for qRT-PCR normalization of gene expression analysis inFrontiers in plant science · 2022Article
- Genome-Wide Identification of Wild Soybean Mitochondrial Calcium Uniporter Family Genes and Their Responses to Cold and Carbonate Alkaline Stresses.Frontiers in plant science · 2022Article
- Comprehensive Profiling of Tubby-Like Proteins in Soybean and Roles of theFrontiers in plant science · 2022Article
- Article
- Genome wide association study to detect genetic regions related to isoflavone content in a mutant soybean population derived from radiation breeding.Frontiers in plant science · 2022Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative RT-PCR can be a very sensitive and powerful technique for measuring differential gene expression. Changes in gene expression induced by abiotic stresses are complex and multifaceted, which make determining stably expressed genes for data normalization difficult. To identify the most suitable reference genes for abiotic stress studies in soybean, 13 candidate genes collected from literature were evaluated for stability of expression under dehydration, high salinity, cold and ABA (abscisic acid) treatments using delta CT and geNorm approaches. Validation of reference genes indicated that the best reference genes are tissue- and stress-dependent. With respect to dehydration treatment, the Fbox/ABC, Fbox/60s gene pairs were found to have the highest expression stability in the root and shoot tissues of soybean seedlings, respectively. Fbox and 60s genes are the most suitable reference genes across dehydrated root and shoot tissues. Under salt stress the ELF1b/IDE and Fbox/ELF1b are the most stably expressed gene pairs in roots and shoots, respectively, while 60s/Fbox is the best gene pair in both tissues. For studying cold stress in roots or shoots, IDE/60s and Fbox/Act27 are good reference gene pairs, respectively. With regard to gene expression analysis under ABA treatment in either roots, shoots or across these tissues, 60s/ELF1b, ELF1b/Fbox and 60s/ELF1b are the most suitable reference genes, respectively. The expression of ELF1b/60s, 60s/Fbox and 60s/Fbox genes was most stable in roots, shoots and both tissues, respectively, under various stresses studied. Among the genes tested, 60s was found to be the best reference gene in different tissues and under various stress conditions. The highly ranked reference genes identified from this study were proved to be capable of detecting subtle differences in expression rates that otherwise would be missed if a less stable reference gene was used.
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