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Your search keyword '"Wang, Zhezhi"' showing total 11 results
Start Over Author "Wang, Zhezhi" Journal frontiers in plant science
11 results on '"Wang, Zhezhi"'

6. Functional Characterization of Serotonin N-Acetyltransferase Genes (SNAT1 / 2) in Melatonin Biosynthesis of Hypericum perforatum.

Author

Zhou, Wen, Yang, Shu, Zhang, Qian, Xiao, Ruyi, Li, Bin, Wang, Donghao, Niu, Junfeng, Wang, Shiqiang, and Wang, Zhezhi

Subjects
HYPERICUM perforatum, BIOSYNTHESIS, SEROTONIN, MELATONIN, GENETIC transformation
Abstract

Hypericum perforatum is a traditional medicinal plant that contains various secondary metabolites. As an active component in H. perforatum , melatonin plays important role in plant antioxidation, growth, and photoperiod regulation. Serotonin N-acetyltransferase (SNAT) is the key enzyme involved in the last or penultimate step of phytomelatonin biosynthesis. A total of 48 members of SNAT family were screened and analyzed based on the whole genome data of H. perforatum , and two SNAT genes (HpSNAT1 and HpSNAT2) were functionally verified to be involved in the biosynthesis of melatonin. It was found that HpSNAT1 and HpSNAT2 were highly expressed in the leaves and showed obvious responses to high salt and drought treatment. Subcellular localization analysis indicated that these two proteins were both localized in the chloroplasts by the Arabidopsis protoplasts transient transfection. Overexpression of HpSNAT1 and HpSNAT2 in Arabidopsis (SNAT) and H. perforatum (wild-type) resulted in melatonin content 1.9–2.2-fold and 2.5–4.2-fold higher than that in control groups, respectively. Meanwhile, SNAT -overexpressing Arabidopsis plants showed a stronger ability of root growth and scavenging endogenous reactive oxygen species. In this study, the complete transgenic plants of H. perforatum were obtained through Agrobacterium -mediated genetic transformation for the first time, which laid a significant foundation for further research on the function of key genes in H. perforatum. [ABSTRACT FROM AUTHOR]

Published
2021
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7. Selection and Validation of Appropriate Reference Genes for qRT-PCR Analysis in Isatis indigotica Fort

Author

Tao Li, Wang Zhezhi, Jing Wang, Tianyi Zhang, Xinyun Qu, and Miao Lu

Subjects
0106 biological sciences, 0301 basic medicine, Genetics, Normalization (statistics), Abiotic stress, reference gene, Isatis indigotica Fort, qRT-PCR, Plant Science, Isatis indigotica, lcsh:Plant culture, Biology, 01 natural sciences, 03 medical and health sciences, normalization, 030104 developmental biology, Real-time polymerase chain reaction, Reference genes, Gene expression, gene expression, Reference gene, lcsh:SB1-1110, Gene, Original Research, 010606 plant biology & botany
Abstract

Due to its sensitivity and specificity, real-time quantitative PCR (qRT-PCR) is a popular technique for investigating gene expression levels in plants. Based on the Minimum Information for Publication of Real-Time Quantitative PCR Experiments (MIQE) guidelines, it is necessary to select and validate putative appropriate reference genes for qRT-PCR normalization. In the current study, three algorithms, geNorm, NormFinder, and BestKeeper, were applied to assess the expression stability of 10 candidate reference genes across five different tissues and three different abiotic stresses in Isatis indigotica Fort. Additionally, the IiYUC6 gene associated with IAA biosynthesis was applied to validate the candidate reference genes. The analysis results of the geNorm, NormFinder, and BestKeeper algorithms indicated certain differences for the different sample sets and different experiment conditions. Considering all of the algorithms, PP2A-4 and TUB4 were recommended as the most stable reference genes for total and different tissue samples, respectively. Moreover, RPL15 and PP2A-4 were considered to be the most suitable reference genes for abiotic stress treatments. The obtained experimental results might contribute to improved accuracy and credibility for the expression levels of target genes by qRT-PCR normalization in I. indigotica.

Published
2017

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