ArticlePlant cell reports2015
Comprehensive selection of reference genes for quantitative gene expression analysis during seed development in Brassica napus.
Article in Plant cell reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 36 citations in OpenAlex.
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- Selection of potential reference genes for RT-qPCR in the plant pathogenic fungusFrontiers in microbiology · 2022Article
- Selection of reference genes for gene expression analysis in Liriodendron hybrids' somatic embryogenesis and germinative tissues.Scientific reports · 2021Article
- Past and Future of Plant Stress Detection: An Overview From Remote Sensing to Positron Emission Tomography.Frontiers in plant science · 2020Review
- miR-26a-5p is a Stable Reference Gene for miRNA Studies in Chondrocytes from Developing Human Cartilage.Cells · 2019Article
- Selection of suitable reference genes for quantitative real-time PCR gene expression analysis in Mulberry (Morus alba L.) under different abiotic stresses.Molecular biology reports · 2019Article
- Selection of reference genes for quantitative real-time PCR normalization in the plant pathogen Puccinia helianthi Schw.BMC plant biology · 2019Article
- Identification and evaluation of PCR reference genes for host and pathogen in sugarcane-Sporisorium scitamineum interaction system.BMC genomics · 2018Article
- microRNAs as reference genes for quantitative PCR in cotton.PloS one · 2017Article
- Small RNA and Transcriptome Sequencing Reveal a Potential miRNA-Mediated Interaction Network That Functions during Somatic Embryogenesis inFrontiers in plant science · 2017Article
- Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization.Frontiers in plant science · 2016Article
- Selection of Reliable Reference Genes for Gene Expression Studies onFrontiers in plant science · 2016Article
- Article
- Normalization for Relative Quantification of mRNA and microRNA in Soybean Exposed to Various Abiotic Stresses.PloS one · 2016Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
key messageMicroRNAs have higher expression stability than protein-coding genes in B. napus seeds and are therefore good reference genes for miRNA and mRNA RT-qPCR analysis. Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) has become the "gold standard" to gain insight into function of genes. However, the accuracy of the technique depends on appropriate reference genes for quantification analysis in different experimental conditions. Accumulation of microRNAs (miRNAs) has also been studied by RT-qPCR, but there are no reference genes currently validated for normalization of Brassica napus miRNA expression data. In this study, we selected 43 B. napus miRNAs and 18 previously validated mRNA reference genes. The expression stability of the candidate reference genes was evaluated in different tissue samples (stages of seed development, flowers, and leaves) using geNorm, NormFinder, and RefFinder analysis. The best-ranked reference genes for expression studies during seed development (miR167-1_2, miR11-1, miR159-1 and miR168-1) were used to asses the expression of miR03-1. Since candidate miRNAs showed higher expression stability than protein-coding genes in most of the tested conditions, the expression profile of DGAT1 gene was compared when normalized by the four most stable miRNAs reference genes and by the four most stable mRNA reference genes. The expected expression pattern of DGAT1 during seed development was achieved with the use of miRNA as reference genes. In conclusion, the most stable miRNA reference genes can be employed in the normalization of RT-qPCR quantification of miRNAs and protein-coding genes. This work is the first to perform a comprehensive survey of the stability of miRNA reference genes in B. napus and provides guidelines to obtain more accurate RT-qPCR results in B. napus seeds studies.
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