ArticleFrontiers in plant science2016
Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization.
Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.
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95 citing papers in PubMed.
- Point mutation in zinc sensor causes a threefold zinc level increase in Sorghum bicolor.The New phytologist · 2026Article
- Comparative transcriptome analysis to reveal key drought stress-responsive genes in sorghum (Sorghum bicolor (L.) Moench).BMC genomics · 2026Article
- Integrated genomic and transcriptomic analysis reveals candidate genes underlying herbicide resistance in Sorghum.BMC plant biology · 2026Article
- A tissue-resolved, network-based transcriptomic framework for abiotic stress responses in sorghum.The Plant journal : for cell and molecular biology · 2026Article
- Genome-Wide Analysis IdentifiesCurrent issues in molecular biology · 2026Article
- A validation study by integrated analysis of physiological, biochemical, and meta-gene expression responses to drought stress in sorghum (Sorghum bicolor L.).Protoplasma · 2026Article
- Identification, characterization, and expression profiling of the bHLH gene family in Beta vulgaris.BMC plant biology · 2025Article
- Genome-wide identification, comparative analysis, and expression profiling of stress-associated protein (SAP) gene family in3 Biotech · 2025Article
- Combined Analysis of BSA-Seq and RNA-Seq Reveals Candidate Genes forPlants (Basel, Switzerland) · 2025Article
- Distinct immune pathways activated by harpin proteins inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2025Article
- Developing Striga resistance in sorghum by modulating host cues through CRISPR/Cas9 gene editing.Plant cell reports · 2025Article
- Development of vegetative oil sorghum: From lab-to-field.Plant biotechnology journal · 2025Article
- Integrated morphological, physiological, and transcriptomic analyses uncover the mechanisms of waterlogging tolerance inFrontiers in plant science · 2025Article
- Integrating transcriptome and metabolome to reveal the characteristics of gene expression profiles and metabolite changes ofFrontiers in plant science · 2025Article
- Genome-wide association study of salt tolerance in sorghum during germination.Frontiers in plant science · 2025Article
- Comprehensive Genome-Wide Identification and Expression Profiling ofInternational journal of molecular sciences · 2024Article
- Engineered reduction of S-adenosylmethionine alters lignin in sorghum.Biotechnology for biofuels and bioproducts · 2024Article
- Identification of the Optimal Quantitative RT-PCR Reference Gene for Paper Mulberry (Current issues in molecular biology · 2024Article
- Selection and Validation of Reference Genes inPlants (Basel, Switzerland) · 2024Article
- Transcriptome and metabolome analyses reveal regulatory networks associated with nutrition synthesis in sorghum seeds.Communications biology · 2024Article
35 more citing papers are in PubMed but not listed here.
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6 authors.
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Abstract
Accurate and reliable gene expression data from qPCR depends on stable reference gene expression for potential gene functional analyses. In this study, 15 reference genes were selected and analyzed in various sample sets including abiotic stress treatments (salt, cold, water stress, heat, and abscisic acid) and tissues (leaves, roots, seedlings, panicle, and mature seeds). Statistical tools, including geNorm, NormFinder and RefFinder, were utilized to assess the suitability of reference genes based on their stability rankings for various sample groups. For abiotic stress, PP2A and CYP were identified as the most stable genes. In contrast, EIF4α was the most stable in the tissue sample set, followed by PP2A; PP2A was the most stable in all the sample set, followed by EIF4α. GAPDH, and UBC1 were the least stably expressed in the tissue and all the sample sets. These results also indicated that the use of two candidate reference genes would be sufficient for the optimization of normalization studies. To further verify the suitability of these genes for use as reference genes, SbHSF5 and SbHSF13 gene expression levels were normalized using the most and least stable sorghum reference genes in root and water stressed-leaf tissues of five sorghum varieties. This is the first systematic study of the selection of the most stable reference genes for qPCR-related assays in Sorghum bicolor that will potentially benefit future gene expression studies in sorghum and other closely related species.
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