Cargando…
Metabolomic Profiling in Combination with Data Association Analysis Provide Insights about Potential Metabolic Regulation Networks among Non-Volatile and Volatile Metabolites in Camellia sinensis cv Baijiguan
The non-volatile and volatile metabolites in tea confer the taste and odor characteristics of tea fusion, as well as shape the chemical base for tea quality. To date, it remains largely elusive whether there are metabolic crosstalks among non-volatile metabolites and volatile metabolites in the tea...
Autores principales: | Chen, Mingjie, Kong, Xiangrui, Zhang, Yi, Wang, Shiya, Zhou, Huiwen, Fang, Dongsheng, Yue, Wenjie, Chen, Changsong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572950/ https://www.ncbi.nlm.nih.gov/pubmed/36235422 http://dx.doi.org/10.3390/plants11192557 |
Ejemplares similares
-
De novo Sequencing of the Leaf Transcriptome Reveals Complex Light-Responsive Regulatory Networks in Camellia sinensis cv. Baijiguan
por: Wu, Quanjin, et al.
Publicado: (2016) -
Combined analysis of lipidomics and transcriptomics revealed the key pathways and genes of lipids in light-sensitive albino tea plant (Camellia sinensis cv. Baijiguan)
por: Zhou, Zhe, et al.
Publicado: (2022) -
Tender leaf and fully-expanded leaf exhibited distinct cuticle structure and wax lipid composition in Camellia sinensis cv Fuyun 6
por: Zhu, Xiaofang, et al.
Publicado: (2018) -
Non-Targeted Metabolomics Analysis Revealed the Characteristic Non-Volatile and Volatile Metabolites in the Rougui Wuyi Rock Tea (Camellia sinensis) from Different Culturing Regions
por: Xu, Kai, et al.
Publicado: (2022) -
Transcriptome and Metabolite Profiling Reveal Novel Insights into Volatile Heterosis in the Tea Plant (Camellia Sinensis)
por: Zheng, Yucheng, et al.
Publicado: (2019)