Selection of suitable reference genes for quantitive real-time PCR normalization in Miscanthus lutarioriparia

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.