Validating internal controls for quantitative plant gene expression
Ideally, the expression profile of the RGs should not be influenced by the conditions of the experiment.
In this study we used the ge Norm algorithm to find the optimal number of suitable RGs required for proper normalization.actinidiae during a period of 13 days for the expression profile of nine candidate RGs.Their expression stability was calculated using four algorithms: ge Norm, Norm Finder, Best Keeper and the delta Ct method.In fact, plant pathogens, such as viruses, bacteria and fungi, can induce metabolic alterations and gene expression reprogramming in different organs of the host plant, thus modifying the expression of RGs. Proteomic studies revealed the involvement of multiple classes of proteins that are differentially expressed by the plant and the pathogen occurring over a period of weeks after inoculation, as demonstrated by its necrotic or hemibiotrophic phase.So far, detailed transcriptomic analyses performed during the early stages of plant colonization have not be released, and a selection of RGs for the normalization of q PCR and RT-q PCR gene expression would be useful to standardize and compare the data.
Average E values ranged from 100.7 to 108.2%, with RRT-q PCR was used to quantify the m RNA levels of nine candidate RGs, and the expression stability was investigated.