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Selection and Validation of Reliable Reference Genes for Gene Expression Studies in Different Genotypes and TRV-Infected Fruits of Peach ( Prunus persica L. Batsch) during Ripening.
- Source :
-
Genes [Genes (Basel)] 2022 Jan 17; Vol. 13 (1). Date of Electronic Publication: 2022 Jan 17. - Publication Year :
- 2022
-
Abstract
- Real-time quantitative PCR (RT-qPCR) is a powerful tool to detect and quantify transcription abundance, and the stability of the reference gene determines its success. However, the most suitable reference gene for different genotypes and tobacco rattle virus (TRV) infected fruits was unclear in peach ( Prunus persica L. Batsch). In this study, 10 reference genes were selected and gene expression was characterized by RT-qPCR across all samples, including different genotypes and TRV-infected fruits during ripening. Four statistical algorithms (geNorm, NormFinder, BestKeeper, and RefFinder) were used to calculate the stability of 10 reference genes. The geNorm analysis indicated that two suitable reference genes should be used for gene expression normalization. In general, the best combination of reference genes was CYP2 and Tua5 for TRV-infected fruits and CYP2 and Tub1 for different genotypes. In 18S , GADPH, and TEF2 , there is an unacceptable variability of gene expression in all experimental conditions. Furthermore, to confirm the validity of the reference genes, the expression levels of PpACO1 , PpEIN2 , and PpPL were normalized at different fruit storage periods. In summary, our results provide guidelines for selecting reliable reference genes in different genotypes and TRV-infected fruits and lay the foundation for accurate evaluation of gene expression for RT-qPCR analysis in peach.
- Subjects :
- Fruit genetics
Fruit growth & development
Fruit virology
Genotype
Plant Proteins genetics
Prunus persica genetics
Prunus persica growth & development
Prunus persica virology
Reference Standards
Fruit metabolism
Gene Expression Profiling standards
Gene Expression Regulation, Plant
Plant Proteins metabolism
Plant Viruses physiology
Prunus persica metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 2073-4425
- Volume :
- 13
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Genes
- Publication Type :
- Academic Journal
- Accession number :
- 35052500
- Full Text :
- https://doi.org/10.3390/genes13010160