Yuanzhi Shi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yuanzhi Shi has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Jianhong Lai
Anji Agriculture and Rural Bureau, Huzhou 313300, China
1 shared publication Jingyue Shen
Key Laboratory of Tea Biology and Resource Utilization of Tea, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China
1 shared publication- Kang Ni
Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
1 shared publication - Lizhi Long
Key Laboratory of Tea Biology and Resource Utilization of Tea, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China
1 shared publication Manni Tong
Key Laboratory of Tea Biology and Resource Utilization of Tea, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China
1 shared publication- Manni Tong
Key Laboratory of Tea Biology and Resource Utilization of Tea, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
1 shared publication
Latest Publications
- Open Access
- 6 June 2025
- Published by Frontiers Media SA in Frontiers in Plant Science
- Vol. 16, 1601094
Exogenous strigolactones modulate antioxidant metabolism via CsD27 to enhance drought tolerance in tea plants
Drought stress adversely affects the growth, yield, and quality of tea plants (Camellia sinensis L.). Although strigolactones (SLs) are known to mediate drought adaptation in plants, their regulatory mechanisms in tea plants remain elusive. In this study, we demonstrated that exogenous SL application alleviated drought-induced symptoms by photosynthetic adaptation and mitigating the damage of cell membrane. Moreover, exogenous SL enhanced antioxidant response through regulating catechins metabolism in drought-sensitive cv. ‘Huangjinya’. Notably, we identified CsD27 as a key SL-biosynthetic gene, whose expression level was negatively correlated with malondialdehyde (MDA), mechanistically linking its function in drought tolerance in tea plants. Overexpression of CsD27 enhanced the drought tolerance of transgenic Arabidopsis with decreased MDA content and increased survival rate under drought stress. These findings elucidate a dual SL-mediated mechanism that simultaneously enhances stress tolerance and preserves tea quality, which provide a potential target for molecular breeding in perennial crops.
- 6 June 2025
- Published by Frontiers Media SA in Frontiers in Plant Science
- Vol. 16, 1601094
Open AccessExogenous strigolactones modulate antioxidant metabolism via CsD27 to enhance drought tolerance in tea plants
Drought stress adversely affects the growth, yield, and quality of tea plants (Camellia sinensis L.). Although strigolactones (SLs) are known to mediate drought adaptation in plants, their regulatory mechanisms in tea plants remain elusive. In this study, we demonstrated that exogenous SL application alleviated drought-induced symptoms by photosynthetic adaptation and mitigating the damage of cell membrane. Moreover, exogenous SL enhanced antioxidant response through regulating catechins metabolism in drought-sensitive cv. ‘Huangjinya’. Notably, we identified CsD27 as a key SL-biosynthetic gene, whose expression level was negatively correlated with malondialdehyde (MDA), mechanistically linking its function in drought tolerance in tea plants. Overexpression of CsD27 enhanced the drought tolerance of transgenic Arabidopsis with decreased MDA content and increased survival rate under drought stress. These findings elucidate a dual SL-mediated mechanism that simultaneously enhances stress tolerance and preserves tea quality, which provide a potential target for molecular breeding in perennial crops.
- Open Access
Quality Characteristics of White Leaf Tea of ‘Baiye 1’ (Camellia sinensis) in Different Producing Areas
In order to find out the differences in tea quality characteristics from different regions and the reasons for their formation, 32 biochemical components, 22 mineral elements, and 3 stable isotope ratios were determined in 93 white leaf tea (WLT) samples. The findings revealed that significant differences in the content of free amino acids, catechins, caffeine, several mineral elements, and stable isotope ratios were observed among the WLT samples of different origins. Furthermore, a Pearson correlation analysis showed significant correlations of 15 chemical composition qualities and 14 mineral elements with soil factors. The 13C and 18O values were significantly correlated with meteorological factors. Classification models based on multiple chemical signatures facilitated successful differentiation of WLT of different origins, achieving a high prediction accuracy of over 90%. This study comprehensively identified distinct quality characteristics of WLT from different regions in China and proved an effective method in classifying WLT samples from the main production areas.Open AccessQuality Characteristics of White Leaf Tea of ‘Baiye 1’ (Camellia sinensis) in Different Producing Areas
In order to find out the differences in tea quality characteristics from different regions and the reasons for their formation, 32 biochemical components, 22 mineral elements, and 3 stable isotope ratios were determined in 93 white leaf tea (WLT) samples. The findings revealed that significant differences in the content of free amino acids, catechins, caffeine, several mineral elements, and stable isotope ratios were observed among the WLT samples of different origins. Furthermore, a Pearson correlation analysis showed significant correlations of 15 chemical composition qualities and 14 mineral elements with soil factors. The 13C and 18O values were significantly correlated with meteorological factors. Classification models based on multiple chemical signatures facilitated successful differentiation of WLT of different origins, achieving a high prediction accuracy of over 90%. This study comprehensively identified distinct quality characteristics of WLT from different regions in China and proved an effective method in classifying WLT samples from the main production areas.