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Reference Gene Selection for Quantitative Real-Time PCR Analyses of Acer palmatum under Abiotic Stress

Phyton-International Journal of Experimental Botany 2020年第2期89卷 385-403页

作者： Lu Zhu Qiuyue Ma Shushun Li Jing Wen Kunyuan Yan Qianzhong Li Institute of Leisure Agriculture Jiangsu Academy of Agricultural SciencesNanjing210014China

Quantitative real-time reverse transcriptase PCR(qRT-PCR)technology has been extensively used to estimate gene expression levels,and the selection of appropriate reference genes for qRT-PCR analysis is critically important for obtaining authentic normalized *** palmatum is an important colorful leaf ornamental tree species,and reference genes suitable for normalization of the qRT-PCR data obtained from this species have not been *** this study,the expression stability of ten candidate reference genes,namely,Actin3,Actin6,Actin9,EF1α,PP2A,SAMDC,TIP41,TUBα,TUBβand UBQ10,in two distinct tissues(leaves and roots)of *** under four different abiotic stress conditions(cold,heat,salt and drought)were investigated and assessed using three statistical methods(GeNorm,NormFinder and BestKeeper).The combinations of reference genes that showed stability in the different stressed samples ***,Actin6,UBQ10 and Actin9 were the most stable reference genes in all the samples,and Actin3 and Actin6 wexre stably expressed in cold-stressed leaves and ***3,Actin6 and UBQ10 were identified as an appropriate combination of reference genes for the analysis of heat-stressed leaves and roots,whereas the combination of Actin9,UBQ10 and Actin6 was deemed the most suitable for the analysis of salt-stressed leaves and ***,Actin6 and UBQ10 exhibited stable expression in drought-stressed leaves and ***,the expression levels of CBF,Cu/Zn-SOD and HsfA1 were estimated to determine the reliability of the reference genes assessed in this *** study revealed stable reference genes in *** that might be used for the normalization of qRT-PCR data obtained under various abiotic stresses.

关键词： Acer palmatum qRT-PCR abiotic stresses referencegene normalization

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