ArticleMolecular biology reports2019
Selection of suitable reference genes for quantitive real-time PCR normalization in Miscanthus lutarioriparia.
Article in Molecular biology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Selection and Validation of qRT-PCR Reference Genes inCurrent issues in molecular biology · 2026Article
- Identification and validation of stable reference genes for RT-qPCR analyses of Kobresia littledalei seedlings.BMC plant biology · 2024Article
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- Selection of reference genes for RT-qPCR analysis of rice with Rhizoctonia solani infection and biocontrol PGPR/KSi application.Molecular biology reports · 2023Article
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- Comprehensive evaluation of candidate reference genes for quantitative real-time PCR-based analysis in Caucasian clover.Scientific reports · 2021Article
- Systematic selection and validation of suitable reference genes for quantitative real-time PCR normalization studies of gene expression in Nitraria tangutorum.Scientific reports · 2020Article
- Selection of suitable reference genes for qRT-PCR expression analysis of Codonopsis pilosula under different experimental conditions.Molecular biology reports · 2020Article
- Identification and evaluation of reference genes for quantitative real-time PCR analysis in Passiflora edulis under stem rot condition.Molecular biology reports · 2020Article
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Authors and funding
8 authors.
Funding
Abstract
Miscanthus lutarioriparia, which is found widespread in China, has attracted great attention as a most potential bioenergy plant for years. The quantitative real time PCR (RT-qPCR) has appeared as a sensitive and powerful technique to measure gene expression in living organisms during different development stages. In this study, we evaluated ten candidate genes, including 25S ribosomal RNA gene (25S rRNA), actin1 gene (ACT1), carotenoid-binding protein 20 gene (CBP20), glyceraldehyde-3-phosphate dehydrogenase gene (GAPDH), Ubiquitin gene (UBQ), eukaryotic elongation factor 1-αgene (eEF-1α), α-tubulin gene (α-TUB), β-tubulin gene (β-TUB), eukaryotic translation initiation factor 4α-1 gene (eIF-4α) and NAC domain protein gene(NAC) in a series of 30 M. lutarioriparia samples followed by statistical algorithms geNorm and Normfinder to analyze the gene expression stability. The results indicated that eIF-4αand UBQ were the most stable expressed genes while CBP20 showed as the least stable among all the samples. Based on above research, we recommend that at least two top-ranked reference genes should be employed for expression data normalization. The best genes selected in this study will provide a starting point to select reference genes in the future in other tissues and under other experimental conditions in this energy crop candidate.
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