ArticlePloS one2011
Selection and validation of reference genes for quantitative real-time PCR in buckwheat (Fagopyrum esculentum) based on transcriptome sequence data.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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67 citing papers in PubMed, 123 citations in OpenAlex.
- Reference Gene Stability inInternational journal of molecular sciences · 2026Article
- Transcriptome-Based Identification of Reference Genes for Expression Analysis in Cassava UnderPlants (Basel, Switzerland) · 2025Article
- Concentration-dependent effects of boron fertilizer on growth, yield, and quality of buckwheat.Frontiers in plant science · 2025Article
- Reference gene selection for quantitative RT-PCR in Miscanthus sacchariflorus under abiotic stress conditions.Molecular biology reports · 2022Article
- Probing the Energetic Metabolism of Resting Cysts under Different Conditions from Molecular and Physiological Perspectives in the Harmful Algal Blooms-Forming DinoflagellateInternational journal of molecular sciences · 2021Article
- High-Resolution Transcriptome Atlas and Improved Genome Assembly of Common Buckwheat,Frontiers in plant science · 2021Article
- Transcriptome profiling of Fagopyrum tataricum leaves in response to lead stress.BMC plant biology · 2020Article
- Selection and validation of reference genes ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2019Article
- Transcriptome Analysis Reveals the Accumulation Mechanism of Anthocyanins in Buckwheat (International journal of molecular sciences · 2019Article
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- Selection and validation of reference genes for quantitative Real-Time PCR in Arabis alpina.PloS one · 2019Article
- Selection of Reference Genes for qRT-PCR Analysis inMolecules (Basel, Switzerland) · 2018Article
- Selection and Validation of Novel RT-qPCR Reference Genes under Hormonal Stimuli and in Different Tissues of Santalum album.Scientific reports · 2018Article
- Selection and evaluation of reference genes for qRT-PCR analysis inPlant methods · 2018Article
- Reference gene selection for qRT-PCR assays inPeerJ · 2018Article
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- Selection of internal references for qRT-PCR assays of human hepatocellular carcinoma cell lines.Bioscience reports · 2017Article
- Identification and Validation of Reference Genes for Seashore Paspalum Response to Abiotic Stresses.International journal of molecular sciences · 2017Article
- Identification and validation of reference genes for gene expression studies in sweet osmanthus (Osmanthus fragrans) based on transcriptomic sequence data.Journal of genetics · 2017Article
7 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative reverse transcription PCR (qRT-PCR) is one of the most precise and widely used methods of gene expression analysis. A necessary prerequisite of exact and reliable data is the accurate choice of reference genes. We studied the expression stability of potential reference genes in common buckwheat (Fagopyrum esculentum) in order to find the optimal reference for gene expression analysis in this economically important crop. Recently sequenced buckwheat floral transcriptome was used as source of sequence information. Expression stability of eight candidate reference genes was assessed in different plant structures (leaves and inflorescences at two stages of development and fruits). These genes are the orthologs of Arabidopsis genes identified as stable in a genome-wide survey gene of expression stability and a traditionally used housekeeping gene GAPDH. Three software applications--geNorm, NormFinder and BestKeeper--were used to estimate expression stability and provided congruent results. The orthologs of AT4G33380 (expressed protein of unknown function, Expressed1), AT2G28390 (SAND family protein, SAND) and AT5G46630 (clathrin adapter complex subunit family protein, CACS) are revealed as the most stable. We recommend using the combination of Expressed1, SAND and CACS for the normalization of gene expression data in studies on buckwheat using qRT-PCR. These genes are listed among five the most stably expressed in Arabidopsis that emphasizes utility of the studies on model plants as a framework for other species.
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