Seung-Won Choi, Ken Hoshikawa, S. Fujita, D. Thi, T. Mizoguchi, H. Ezura, Emi Ito
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Evaluation of internal control genes for quantitative realtime PCR analyses for studying fruit development of dwarf tomato cultivar 'Micro-Tom'.
Quantitative real-time PCR (qRT-PCR) is widely used to analyze the expression profiles of the genes of interest. In order to obtain accurate quantification data, normalization by using reliable internal control genes is essential. In this study, we evaluated the stability and applicability of eight internal control gene candidates for analyzing gene expression during fruit development in dwarf tomato cultivar Micro-Tom. We collected seventeen different samples from flowers and fruits at different developmental stages, and estimated the expression stability of the candidate genes by two statistical algorithms, geNorm and NormFinder. The combined ranking order and qRT-PCR analyses for expression profiles of SlYABBY2a, SlYABBY1a, FRUITFULL1 and APETALA2c suggested that EXPRESSED was the most stable and reliable internal control gene among the candidates. Our analysis also suggested that RPL8 was also suitable if the sample group is limited to fruits at different maturation stages. In addition to EXPRESSED, GAPDH was also applicable for relative quantitation to monitor gene expression profiles through fruit development from pistil to pericarp.
期刊介绍:
Plant Biotechnology is an international, open-access, and online journal, published every three months by the Japanese Society for Plant Biotechnology. The journal, first published in 1984 as the predecessor journal, “Plant Tissue Culture Letters” and became its present form in 1997 when the society name was renamed to Japanese Society for Plant Cell and Molecular Biology, publishes findings in the areas from basic- to application research of plant biotechnology. The aim of Plant Biotechnology is to publish original and high-impact papers, in the most rapid turnaround time for reviewing, on the plant biotechnology including tissue culture, production of specialized metabolites, transgenic technology, and genome editing technology, and also on the related research fields including molecular biology, cell biology, genetics, plant breeding, plant physiology and biochemistry, metabolic engineering, synthetic biology, and bioinformatics.