ArticlePloS one2015
Recommended Reference Genes for Quantitative PCR Analysis in Soybean Have Variable Stabilities during Diverse Biotic Stresses.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Screening of Reference Gene for RT-qPCR inInternational journal of molecular sciences · 2026Article
- Genome-Wide Association Study Identifies QTNs and Candidate Genes Conferring Resistance to Soybean Frogeye Leaf Spot Race 7.Plants (Basel, Switzerland) · 2026Article
- Identification of hub genes regulating seed germination viability in soybean via comparative transcriptome analysis and WGCNA.BMC plant biology · 2025Article
- Expression of Mn-sod, PAL1, aos1 and HPL genes in soybean plants overexpressing the NmDef02 defensin.Transgenic research · 2023Article
- RefFinder: a web-based tool for comprehensively analyzing and identifying reference genes.Functional & integrative genomics · 2023Article
- Article
- Characterization of two constitutive promotersaBIOTECH · 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
- 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
- Reference gene selection for real-time quantitative PCR assays in different tissues ofPlant direct · 2021Article
- Article
- Selection and evaluation of reference genes for qRT-PCR of Scutellaria baicalensis Georgi under different experimental conditions.Molecular biology reports · 2021Article
- Detecting QTL and Candidate Genes for Plant Height in SoybeanFrontiers in plant science · 2021Article
- Selection and validation of reference genes for measuring gene expression in Toona ciliata under different experimental conditions by quantitative real-time PCR analysis.BMC plant biology · 2020Article
- Identification and validation of reference genes for real-time quantitative RT-PCR analysis in jute.BMC molecular biology · 2019Article
- Article
- Plant-Mediated RNAi for ControllingFrontiers in plant science · 2019Article
- Dynamin-Like Proteins of Endocytosis in Plants Are Coopted by Potyviruses To Enhance Virus Infection.Journal of virology · 2018Article
- Evolution and diversification of the plant gibberellin receptor GID1.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- CRISPR/Cas9-Mediated Mutagenesis of Four Putative Symbiosis Genes of the Tropical TreeFrontiers in plant science · 2018Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
For real-time reverse transcription-PCR (qRT-PCR) in soybean, reference genes in different tissues, developmental stages, various cultivars, and under stress conditions have been suggested but their usefulness for research on soybean under various biotic stresses occurring in North-Central U.S. is not known. Here, we investigated the expression stabilities of ten previously recommended reference genes (ABCT, CYP, EF1A, FBOX, GPDH, RPL30, TUA4, TUB4, TUA5, and UNK2) in soybean under biotic stress from Bean pod mottle virus (BPMV), powdery mildew (PMD), soybean aphid (SBA), and two-spotted spider mite (TSSM). BPMV, PMD, SBA, and TSSM are amongst the most common pest problems on soybean in North-Central U.S. and other regions. Reference gene stability was determined using three software algorithms (geNorm, NormFinder, BestKeeper) and a web-based tool (RefFinder). Reference genes showed variability in their expression as well as stability across various stressors and the best reference genes were stress-dependent. ABCT and FBOX were found to be the most stable in soybean under both BPMV and SBA stress but these genes had only minimal to moderate stability during PMD and TSSM stress. Expression of TUA4 and CYP was found to be most stable during PMD stress; TUB4 and TUA4 were stable under TSSM stress. Under various biotic stresses on soybean analyzed, GPDH expression was found to be consistently unstable. For all biotic stressors on soybean, we obtained pairwise variation (V2/3) values less than 0.15 which suggested that combined use of the two most stable reference genes would be sufficient for normalization. Further, we demonstrated the utility of normalizing the qRT-PCR data for target genes using the most stable reference genes validated in current study. Following of the recommendations from our current study will enable an accurate and reliable normalization of qRT-PCR data in soybean under biotic stress.
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