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Jun 20, 2024;46 (6): 6284-6299.

Selection of Reference Genes for Expression Normalization by RT-qPCR in L.

Shasha Li, Xiaomin Ge, Guoqing Bai, Chen Chen
Author Information
  1. Shasha Li: Shaanxi Engineering Research Centre for Conservation and Utilization of Botanical Resources, Xi'an Botanical Garden of Shaanxi Province, Institute of Botany of Shaanxi Province, No. 17 Cuihua South Road, Xi'an 710061, China.
  2. Xiaomin Ge: Shaanxi Engineering Research Centre for Conservation and Utilization of Botanical Resources, Xi'an Botanical Garden of Shaanxi Province, Institute of Botany of Shaanxi Province, No. 17 Cuihua South Road, Xi'an 710061, China.
  3. Guoqing Bai: Shaanxi Engineering Research Centre for Conservation and Utilization of Botanical Resources, Xi'an Botanical Garden of Shaanxi Province, Institute of Botany of Shaanxi Province, No. 17 Cuihua South Road, Xi'an 710061, China.
  4. Chen Chen: Shaanxi Engineering Research Centre for Conservation and Utilization of Botanical Resources, Xi'an Botanical Garden of Shaanxi Province, Institute of Botany of Shaanxi Province, No. 17 Cuihua South Road, Xi'an 710061, China. ORCID
PMID: 38921046 DOI: 10.3390/cimb46060375

Abstract

is widely used as an ornamental, medicine, and perfume in industry. Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) is widely and accurately utilized for gene expression evaluations. Selecting optimal reference genes is essential for normalizing RT-qPCR results. However, the identification of suitable reference genes in . has not been documented. A total of 12 reference genes in . were identified by PEG6000 (15%) treatment under hypertonia conditions in different tissues (roots, stem, leaves, flower, seeds and sepal) and during three stages of flower development, then used to validate the expression stability. There were four algorithms (delta Ct, geNorm, NormFinder, and BestKeeper) used to analyze the stability. Finally, the RefFinder program was employed to evaluate the candidate reference genes' stability. The results showed that , (), and () were stable reference genes under the PEG6000 treatment. () was the most stable gene across different flower development stages. () was the most stable gene in different tissues and total samples. This study provides reliable gene expression studies for future research in . .

Keywords

Dracocephalum moldavica RT-qPCR drought stress gene expression reference gene

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Grants

  1. (No. 2021k-15; No.2023k-46/Science and Technology Program of the Shaanxi Academy of Sciences
  2. No. XAB2021YW02/Western Young Scholars Program of Chinese Academy of Science
  3. No. 2022KJXX-27/Innovation Capability Support Program of Shaanxi
  4. No. 2022JQ-198/Natural Science Basic Research Program of Shaanxi
Journal Article

Word Cloud

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