scholarly journals Selection of suitable reference genes for qRT-PCR normalization during leaf development and hormonal stimuli in tea plant (Camellia sinensis)

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Zhi-Jun Wu ◽  
Chang Tian ◽  
Qian Jiang ◽  
Xing-Hui Li ◽  
Jing Zhuang
2020 ◽  
Author(s):  
Jiaxin Wang ◽  
Qianhui Tang ◽  
Kang Sun ◽  
Liang Zeng ◽  
Zhijun Wu

Abstract Background: Tea plant (Camellia sinensis) is an important woody economic crop used for processing leaf-type beverages. Tea has been proved to be beneficial to human health because it is rich in tea polyphenols and other active ingredients. Numerous studies have shown that light is a necessary environmental condition to control the growth and metabolism of C. sinensis. Gene expression experiments are always performed to explore the transcriptional regulation mechanism of plants widely based on the technique of quantitative real time polymerase chain reaction (qRT-PCR). The screening and application of reference genes are necessary for the normalization of gene expression under specific conditions. However, the reference genes for systematic analysis of light-induced transcription mechanisms are still not available in C. sinensis.Results: In this research, we identified actin family genes that are always used as reference genes with high frequency and without distinction for various expression experiments in C. sinensis. Six pairs of distinctive primers (corresponding to CsACT1, CsACT2, CsACT(3-4), CsACT(5-6), CsACT(7-8), and CsACT(9-10) genes) were designed to evaluate their expression stability in response to light quality (LQ), light intensity (LI), and photoperiod (PD). Simultaneously, six other family members (CsUBC1, CsCLATHRIN1, CsGAPDH, CsTBP, CsTIP41, and CseIF-4α) of C. sinensis commonly used as reference genes were also investigated. The stability rankings of gene expression were calculated by the statistical algorithms of geNorm, BestKeeper, NormFinder, and RefFinder softwares. Conclusions: CsACT(5-6), CsTIP41, and CsACT(3-4) were the most stable genes for light quality (LQ), light intensity (LI), and photoperiod (PD) treatments, respectively. This study provides a basis for the selection of reference genes for future research on the transcription mechanism of light response in C. sinensis. Moreover, the analysis of actin family members of C. sinensis will help to understand the individual transcription mechanism of housekeeping family.


2021 ◽  
Vol 289 ◽  
pp. 110488
Author(s):  
Jiaxin Wang ◽  
Linlin Liu ◽  
Qianhui Tang ◽  
Kang Sun ◽  
Liang Zeng ◽  
...  

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6385 ◽  
Author(s):  
Zi-wei Zhou ◽  
Hui-li Deng ◽  
Qing-yang Wu ◽  
Bin-bin Liu ◽  
Chuan Yue ◽  
...  

Tea is one of three major non-alcoholic beverages that are popular all around the world. The economic value of tea product largely depends on the post-harvest physiology of tea leaves. The utilization of quantitative reverse transcription polymerase chain reaction is a widely accepted and precise approach to determine the target gene expression of tea plants, and the reliability of results hinges on the selection of suitable reference genes. A few reliable reference genes have been documented using various treatments and different tissues of tea plants, but none has been done on post-harvest leaves during the tea manufacturing process. The present study selected and analyzed 15 candidate reference genes: Cs18SrRNA, CsGADPH, CsACT, CsEF-1α, CsUbi, CsTUA, Cs26SrRNA, CsRuBP, CsCYP, CselF-4α, CsMON1, CsPCS1, CsSAND, CsPPA2, CsTBP. This study made an assessment on the expression stability under two kinds of post-harvest treatment, turn over and withering, using three algorithms—GeNorm, Normfinder, and Bestkeeper. The results indicated that the three commonly used reference genes, CsTUA, Cs18SrRNA, CsRuBP, together with Cs26SrRNA, were the most unstable genes in both the turn over and withering treatments. CsACT, CsEF-1α, CsPPA2, and CsTBP were the top four reference genes in the turn over treatment, while CsTBP, CsPCS1, CsPPA2, CselF-4α, and CsACT were the five best reference genes in the withering group. The expression level of lipoxygenase genes, which were involved in a number of diverse aspects of plant physiology, including wounding, was evaluated to validate the findings. To conclude, we found a basis for the selection of reference genes for accurate transcription normalization in post-harvest leaves of tea plants.


2018 ◽  
Author(s):  
Ziwei Zhou ◽  
Huili Deng ◽  
Qingyang Wu ◽  
Binbin Liu ◽  
Chuan Yue ◽  
...  

Tea is one of three major non-alcoholic beverages that are popular all around the world. The economic value of the final tea product largely depends on the post-harvest physiology of tea leaves. The utilization of quantitative reverse transcription polymerase chain reaction (RT-qPCR) is a widely accepted and precise approach to determine the target gene expression of tea plants, and the reliability of results hinges on the selection of suitable reference genes. A few reliable reference genes have been documented using various treatments and different tissues of tea plants, but none have been done on post-harvest leaves during the tea manufacturing process. The present study selected and analyzed 15 candidate reference genes: Cs18SrRNA, CsGADPH, CsACT, CsEF-1α, CsUbi, CsTUA, Cs26SrRNA, CsRuBP, CsCYP, CselF-4α, CsMON1, CsPCS1, CsSAND, CsPPA2, CsTBP. This study made an assessment on the expression stability under two kinds of post-harvest treatment, turn over and withering, using three algorithms—geNorm, Normfinder and Bestkeeper. The results indicated that the three commonly used reference genes, CsTUA, Cs18SrRNA, CsRuBP, together with Cs26SrRNA, were the most unstable genes in both the turn over and witheringtreatments. CsACT, CsEF-1α, CsPPA2, and CsTBP were the top four reference genes in the turn over treatment, while CsTBP, CsPCS1, CsPPA2, CselF-4α, and CsACT were the four best reference genes in the witheringgroup. The expression level of lipoxygenase (LOX) genes, which were involved in a number of diverse aspects of plant physiology, including wounding, was evaluated to validate the findings. To conclude, we found a basis for the selection of reference genes for accurate transcription normalization in post-harvest leaves of tea plants.


2018 ◽  
Author(s):  
Ziwei Zhou ◽  
Huili Deng ◽  
Qingyang Wu ◽  
Binbin Liu ◽  
Chuan Yue ◽  
...  

Tea is one of three major non-alcoholic beverages that are popular all around the world. The economic value of the final tea product largely depends on the post-harvest physiology of tea leaves. The utilization of quantitative reverse transcription polymerase chain reaction (RT-qPCR) is a widely accepted and precise approach to determine the target gene expression of tea plants, and the reliability of results hinges on the selection of suitable reference genes. A few reliable reference genes have been documented using various treatments and different tissues of tea plants, but none have been done on post-harvest leaves during the tea manufacturing process. The present study selected and analyzed 15 candidate reference genes: Cs18SrRNA, CsGADPH, CsACT, CsEF-1α, CsUbi, CsTUA, Cs26SrRNA, CsRuBP, CsCYP, CselF-4α, CsMON1, CsPCS1, CsSAND, CsPPA2, CsTBP. This study made an assessment on the expression stability under two kinds of post-harvest treatment, turn over and withering, using three algorithms—geNorm, Normfinder and Bestkeeper. The results indicated that the three commonly used reference genes, CsTUA, Cs18SrRNA, CsRuBP, together with Cs26SrRNA, were the most unstable genes in both the turn over and witheringtreatments. CsACT, CsEF-1α, CsPPA2, and CsTBP were the top four reference genes in the turn over treatment, while CsTBP, CsPCS1, CsPPA2, CselF-4α, and CsACT were the four best reference genes in the witheringgroup. The expression level of lipoxygenase (LOX) genes, which were involved in a number of diverse aspects of plant physiology, including wounding, was evaluated to validate the findings. To conclude, we found a basis for the selection of reference genes for accurate transcription normalization in post-harvest leaves of tea plants.


2019 ◽  
Vol 46 (6) ◽  
pp. 6027-6037 ◽  
Author(s):  
Yanman Li ◽  
Ying Qu ◽  
Yang Wang ◽  
Xue Bai ◽  
Geng Tian ◽  
...  

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