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Due to its accuracy, sensitivity and high throughput, real time quantitative PCR (RT-qPCR) has been widely used in analysing gene expression. The quality of data from such analyses is affected by the quality of reference genes used. Expression stabilities for nine candidate reference genes widely used in soybean were evaluated under different stresses in this study. Our results showed that  EF1A  and  ACT11  were the best under salinity stress,  TUB4 ,  TUA5  and  EF1A  were the best under drought stress,  ACT11  and  UKN2  were the best under dark treatment, and  EF1B  and  UKN2  were the best under virus infection.  EF1B  and  UKN2  were the top two genes which can be reliably used in all of the stress conditions assessed.

Expression Stabilities of Candidate Reference Genes for RT-qPCR under Different Stress Conditions in Soybean