Reference gene selection for qPCR analysis in cineraria developing flowers

Selection of Reference Genes for Real-time Quantitative Polymerase Chain Reaction Analysis of Light-dependent Anthocyanin Biosynthesis in Chrysanthemum

“…Compared with b-tubulin and EF1a, PP2A was stably expressed to some extent in our study and was highly stable in different color lines but unstable under different light conditions at various floral developmental stages. This result is consistent with the results from the different flower color lines and floral developmental stages of cineraria (Jin et al, 2013). F-box, which plays important roles in the signal transduction of plant hormones and the biological processes of self-incompatibility and floral development (Craig and Tyers, 1999), was the most stable gene in this study.…”

“…To our knowledge, this was the first systematic study to simultaneously investigate the expression stability of reference genes involved in flower color, floral development, and light effects in chrysanthemum. Based on the results of the present study, of the nine candidate genes, the traditional housekeeping gene b-tubulin yielded poor values in most of the sample sets, which was consistent with studies performed in cineraria (Jin et al, 2013), chinese iris (Gu et al, 2014), oil palm (Yeap et al, 2014), and cork oak [Quercus variabilis (Marum et al, 2012)]. Another conventional gene, EF1a, was not very stably expressed in the present study, which was inconsistent with the studies in soybean [Glycine max (Hu et al, 2009;Jian et al, 2008)], rice [Oryza sativa (Jain et al, 2006)], tomato (Løvdal and Lillo, 2009), cineraria (Jin et al, 2013), and tobacco [Nicotiana tabacum (Schmidt and Delaney, 2010)].…”

“…Therefore, it is vital to select ideal reference genes to normalize RT-qPCR analysis. Recently, research into evaluating the stability of potential reference genes across various experimental conditions has been performed in different plant species such as chamomile [Chrysanthemum lavandulifolium (Fu et al, 2013)], cineraria [Senecio cruentus (Jin et al, 2013)], blueberry [Vaccinium vitis (Die and Rowland, 2013)], oil palm [Elaeis quineensis (Yeap et al, 2014)], chinese iris [Iris lactea var. chinensis (Gu et al, 2014)], and mei flower [Prunus mume (Wang et al, 2014)].…”

Selection of suitable reference genes for reverse transcription quantitative real-time PCR studies on different experimental systems from carrot (Daucus carota L.)

“…However, because quantification is based on the expression ratio of a target gene versus a reference gene (Pfaffl and Hageleit, 2001), the choice of reference gene(s) has a direct and strong impact, given all other variables optimal and constant. A vast number of reference genes has been proposed for gene expression analysis (Gu et al, 2014;Jin et al, 2013;Kumar et al, 2011;Warrington et al, 2000). Traditional reference genes, used to examine gene expression in plants, usually code for proteins or ribosomal RNAs (rRNA) that function in basic cellular processes such as cell structure maintenance or primary metabolism.…”

Reference gene selection for gene expression studies in lily using quantitative real-time PCR

“…A low value of M generated from GeNorm, indicates more stable gene-expression, whereas a high M value indicates a less stable gene-expression (Jin et al, 2013). Stably expressed genes have values below 1.5 (Vandesompele et al, 2002).…”