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Asad Maroufi

Asad Maroufi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 35622395700
Faculty: Faculty of Agriculture
Address: Department of Plant Breeding, Faculty of Agriculture, University of Kurdistan, Pasdaran Blvd., Sanandaj, Kurdistan, Iran. Postal Code: 66177-15175
Phone: 0098-8733620552-3

Research

Title
Selection of reference genes for real-time quantitative PCR analysis of gene expression in Glycyrrhiza glabra under drought stress
Type
JournalPaper
Keywords
ACT, BTU, EF1, licorice, normalization, UBC2
Year
2016
Journal Biologia Plantarum
DOI
Researchers Asad Maroufi

Abstract

Licorice (Glycyrrhiza glabra L.) is an important medicinal plant accumulating high-value secondary metabolites. Realtime reverse transcription quantitative PCR (RT-qPCR) has become a common method for studying gene expression, and the availability of stable reference genes is a prerequisite to obtain accurate quantification of transcript abundance. Therefore, an experiment was designed to determine appropriate reference genes for gene expression studies in licorice. Based on reports in the literature and the availability of genomic sequences, eight putative reference genes were chosen. Further, the expression stabilities of these genes were evaluated in leaf and root tissues under normal and drought stress conditions using three distinct statistical algorithms including geNorm, NormFinder, and BestKeeper. Among the investigated genes, ubiquitin-conjugating enzyme E2 (UBC2), elongation factor 1  (EF1), and actin (ACT) under normal conditions and ACT, -tubulin (BTU), and UBC2 under drought stress conditions were the most stable genes in leaves, whereas BTU, ACT, and UBC2 under normal and drought stress conditions were identified as the most stable genes in roots. Nevertheless, the use of glyceraldehyde-3-phosphate dehydrogenase, F-box protein, and BTU have not been approved as reference genes for RT-qPCR data normalization. The findings in this study highlight the importance of the use of well-validated reference genes to the success of gene expression analysis using RT-qPCR