ArticleScientific reports2020
Identification and evaluation of reliable reference genes for quantitative real-time PCR analysis in tea plants under differential biotic stresses.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 25 citations in OpenAlex.
- Investigation of Reference Genes for qRT-PCR and ARF Gene Family inPlants (Basel, Switzerland) · 2026Article
- Selection and Validation of Appropriate Reference Genes for qRT-PCR Analysis ofFood science & nutrition · 2025Article
- Current methods and future needs for visible and non-visible detection of plant stress responses.Frontiers in plant science · 2025Review
- Gene Expression Analysis by Quantitative Real-Time PCR for Floral Tissues.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Identification of Reliable Reference Genes under Different Stresses and in Different Tissues ofGenes · 2022Article
- Article
- Transcriptome and metabolome profiling in different stages of infestation of Eucalyptus urophylla clones by Ralstonia solanacearum.Molecular genetics and genomics : MGG · 2022Article
- Identification of reliable reference genes for quantitative real-time PCR analysis of the Rhus chinensis Mill. leaf response to temperature changes.FEBS open bio · 2021Article
- Review
- Genome-wide identification and expression profiling of chitinase genes in tea (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021Article
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Authors and funding
8 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
The selection of reliable reference genes (RGs) for normalization under given experimental conditions is necessary to develop an accurate qRT-PCR assay. To the best of our knowledge, only a small number of RGs have been rigorously identified and used in tea plants (Camellia sinensis (L.) O. Kuntze) under abiotic stresses, but no critical RG identification has been performed for tea plants under any biotic stresses till now. In the present study, we measured the mRNA transcriptional levels of ten candidate RGs under five experimental conditions; these genes have been identified as stable RGs in tea plants. By using the ΔCt method, geNorm, NormFinder and BestKeeper, CLATHRIN1 and UBC1, TUA1 and SAND1, or SAND1 and UBC1 were identified as the best combination for normalizing diurnal gene expression in leaves, stems and roots individually; CLATHRIN1 and GAPDH1 were identified as the best combination for jasmonic acid treatment; ACTIN1 and UBC1 were identified as the best combination for Toxoptera aurantii-infested leaves; UBC1 and GAPDH1 were identified as the best combination for Empoasca onukii-infested leaves; and SAND1 and TBP1 were identified as the best combination for Ectropis obliqua regurgitant-treated leaves. Furthermore, our results suggest that if the processing time of the treatment was long, the best RGs for normalization should be recommended according to the stability of the proposed RGs in different time intervals when intragroup differences were compared, which would strongly increase the accuracy and sensitivity of target gene expression in tea plants under biotic stresses. However, when the differences of intergroup were compared, the RGs for normalization should keep consistent across different time points. The results of this study provide a technical guidance for further study of the molecular mechanisms of tea plants under different biotic stresses.
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