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Arabis alpina  is a perennial arctic-alpine plant and an upcoming model organism for genetics and molecular biology for the Brassicaceae family. One essential method for most molecular approaches is the analysis of gene expression by reverse-transcription quantitative Real-Time PCR (RT-qPCR). For the normalisation of expression data in RT-qPCR experiments, it is essential to use reliable reference genes that are not affected under a wide range of conditions. In this study we establish a set of 15  A .  alpina  reference genes that were tested under different conditions including cold, drought, heat, salt and gibberellic acid treatments. Data analyses with geNORM, BestKeeper and NormFinder revealed the most stable reference genes for the tested conditions:  RAN3 ,  HCF  and  PSB33  are most suitable for cold treatments;  UBQ10  and  TUA5  for drought;  RAN3 ,  PSB33  and  EIF4a  for heat;  CAC ,  TUA5 ,  ACTIN 2  and  PSB33  for salt and  PSB33  and  TUA5  for gibberellic acid treatments.  CAC  and  ACTIN 2  showed the least variation over all tested samples. In addition, we show that two reference genes are sufficient to normalize RT-qPCR data under our treatment conditions. In future studies, these reference genes can be used for an adequate normalisation and thus help to generate high quality RT-qPCR data in  A .  alpina .

Selection and validation of reference genes for quantitative Real-Time PCR in Arabis alpina