Reference gene selection for qPCR analysis during somatic embryogenesis in longan tree

High-quality reference genes for quantifying the transcriptional responses of Oryza sativa L. (ssp. indica and japonica) to abiotic stress conditions

“…Instead, it utilizes a mathematical modeling approach to describe the expression values of the genes and performs statistical analyses of intra-and inter-group variations in order to arrive at the stability value for a potential control gene. Because of the differences in the algorithms, the ranking of candidates in these two programs can be different [17,18,20]. Here, we used a modified version of geNorm called "geNorm PLUS " which has more effective analysis than the old version [27,33] and it allows ranking of candidate references up to the single most stable gene.…”

Selection of reference genes for expression analyses of red-fleshed sweet orange (Citrus sinensis)

“…Genes that encode initiation factors have been previously indicated as reference genes (Garg et al, 2010;Lin and Lai, 2010;Schmidt and Delaney, 2010). In this study, stability analysis by both programs indicated that IF3 was the most stable, but only the third most stable when using infected leaves according to NormFinder.…”

“…The objective of this study was to evaluate the stability of 11 candidate genes using various tissue and organ samples from healthy plants or leaves from citrus greening disease (Huanglongbing)-symptomatic plants of a Brazilian red-fleshed cultivar ('Sanguínea de Mombuca'), in order to select the most suitable reference gene for investigating gene expression under these conditions. geNorm and NormFinder identified genes that encoded translation initiation Usually, reference genes encode for proteins with a constitutive expression, such as actin (ACT) (Liu et al, 2010), glyceraldehyde 3-phosphate dehydrogenase (GAPDH) (Galli et al, 2013), elongation factors (EF) (Bomal et al, 2008), ubiquitin (UBQ) (Lin and Lai, 2010), and tubulin (TUB) (Die et al, 2010), which are all part of the basic metabolism of plant cells, and therefore are assumed to exhibit little variation in expression under different ontogenetic or biological conditions. The instability of reference gene expression may result in an over-or under-estimation of target gene expression .…”

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

“…Among the studies using both GeNorm and NormFinder for normalization, some have shown minor differences between these methods, in terms of evaluating the best sets of reference genes in perennial ryegrass (Lee et al, 2010) and rice (Jain, 2009). Others have reported substantial differences between the two methods in longan (Lin and Lai, 2010) and rubber tree (Li et al, 2011). In addition, Andersen et al (2004) noted that GeNorm may be insensitive to co-regulated reference genes.…”