Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR in Rubus

被引:2
|
作者
Wu, Yaqiong [1 ]
Zhang, Chunhong [1 ]
Yang, Haiyan [1 ]
Lyu, Lianfei [1 ]
Li, Weilin [2 ]
Wu, Wenlong [1 ]
机构
[1] Jiangsu Prov & Chinese Acad Sci, Inst Bot, Jiangsu Key Lab Res & Utilizat Plant Resources, Jiangsu Prov Platform Conservat & Utilizat Agr Ge, Qian Hu Hou Cun 1, Nanjing 210014, Peoples R China
[2] Nanjing Forestry Univ, Coll Forestry, Coinnovat Ctr Sustainable Forestry Southern China, 159 Longpan Rd, Nanjing 210037, Peoples R China
基金
中国国家自然科学基金;
关键词
expression stability; blackberry; raspberry; reference gene; REAL-TIME PCR; NORMALIZATION;
D O I
10.3390/ijms221910533
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Due to the lack of effective and stable reference genes, studies on functional genes in Rubus, a genus of economically important small berry crops, have been greatly limited. To select the best internal reference genes of different types, we selected four representative cultivars of blackberry and raspberry (red raspberry, yellow raspberry, and black raspberry) as the research material and used RT-qPCR technology combined with three internal stability analysis software programs (geNorm, NormFinder, and BestKeeper) to analyze 12 candidate reference genes for the stability of their expression. The number of most suitable internal reference genes for different cultivars, tissues, and fruit developmental stages of Rubus was calculated by geNorm software to be two. Based on the results obtained with the three software programs, the most stable genes in the different cultivars were RuEEF1A and Ru18S. Finally, to validate the reliability of selected reference genes, the expression pattern of the RuCYP73A gene was analyzed, and the results highlighted the importance of appropriate reference gene selection. RuEEF1A and Ru18S were screened as reference genes for their relatively stable expression, providing a reference for the further study of key functional genes in blackberry and raspberry and an effective tool for the analysis of differential gene expression.
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页数:15
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