Selection of Suitable RT-qPCR Reference Genes for Floral Scent Biosynthesis in <i>Phalaenopsis</i> I-Hsin Venus
Welcome to Chinese Journal of Tropical Crops,

Chinese Journal of Tropical Crops ›› 2023, Vol. 44 ›› Issue (11): 2188-2195.DOI: 10.3969/j.issn.1000-2561.2023.11.006

• Special Topic of Orchid Science • Previous Articles     Next Articles

Selection of Suitable RT-qPCR Reference Genes for Floral Scent Biosynthesis in Phalaenopsis I-Hsin Venus

ZHANG Yangting1, ZHANG Yanping1, HUANG Jingyan1, WANG Wenjun1, TONG Yan1, ZHAO Kai2, ZHOU Yuzhen1,*()   

  1. 1. College of Landscape Architecture and Art, Fujian Agricultural and Forestry University / Key Laboratory of National Forestry and Grassland Administration for Orchid Protection and Utilization, Fuzhou, Fujian 350002, China
    2. College of Life Sciences, Fujian Normal University, Fuzhou, Fujian 350117, China
  • Received:2022-06-05 Revised:2022-09-15 Online:2023-11-25 Published:2023-12-08
  • Contact: *ZHOU Yuzhen,


Phalaenopsis I-Hsin Venus is an excellent variety of fragrant flowers, with elegant flower types, long flowering period and rich floral fragrance, which has high garden ornamental value. ACT1, ACT2, ACT3, GAPDH, EF1α, TUA, TUB and Ubi, were selected as the candidate internal reference genes based on the transcriptome data of different flower development stages in Phal. I-Hsin Venus to select the appropriate reference genes for RT-qPCR analysis of the correlated genes in the biosynthesis pathway of the floral scent in Phalaenopsis I-Hsin Venus. The expression of the candidate internal reference genes in inflorescences at different stages was detected by RT-qPCR. The candidate internal parameter genes were analyzed by combining three internal parameter gene stability analysis software: geNorm, NormFinder and BestKeeper. The results of comprehensive analysis showed that ACT1 was the most stable and could be used as the best internal reference gene for the expression analysis of Phal. I-Hsin Venus.

Key words: Phalaenopsis I-Hsin Venus, reference genes, RT-qPCR, expression stability

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