Magnesium promotes tea plant growth via enhanced glutamine synthetase-mediated nitrogen assimilation.

Acidic tea (Camellia sinensis) plantation soil usually suffers from magnesium (Mg) deficiency, and as such, application of fertilizer containing Mg can substantially increase tea quality by enhancing the accumulation of nitrogen (N)-containing chemicals such as amino acids in young tea shoots. However, the molecular mechanisms underlying the promoting effects of Mg on N assimilation in tea plants remain unclear. Here, both hydroponic and field experiments were conducted to analyze N, Mg, metabolite contents, and gene expression patterns in tea plants. We found that N and amino acids accumulated in tea plant roots under Mg deficiency, while metabolism of N was enhanced by Mg supplementation, especially under a low N fertilizer regime. 15N tracing experiments demonstrated that assimilation of N was induced in tea roots following Mg application. Furthermore, weighted gene correlation network analysis (WGCNA) analysis of RNA-seq data suggested that genes encoding glutamine synthetase isozymes (CsGSs), key enzymes regulating N assimilation, were markedly regulated by Mg treatment. Overexpression of CsGS1.1 in Arabidopsis (Arabidopsis thaliana) resulted in a more tolerant phenotype under Mg deficiency and increased N assimilation. These results validate our suggestion that Mg transcriptionally regulates CsGS1.1 during the enhanced assimilation of N in tea plant. Moreover, results of a field experiment demonstrated that high Mg and low N had positive effects on tea quality. This study deepens our understanding of the molecular mechanisms underlying the interactive effects of Mg and N in tea plants while also providing both genetic and agronomic tools for future improvement of tea production.

Integrative analyses of transcriptome and metabolome reveal comprehensive mechanisms of Epigallocatechin-3-gallate (EGCG) biosynthesis in response to ecological factors in tea plant (Camellia sinensis).

Epigallocatechin-3-gallate (EGCG), a flavoured and healthy compounds in tea, is affected by the ecological factors. However, the biosynthetic mechanisms of EGCG in response to the ecological factors remian unclear. In this study, a response surface method with a Box-Behnken design was used to investigate the relationship between EGCG accumulation and ecological factors; further, integrative transcriptome and metabolome analyses were performed to explore the mechanism underlying EGCG biosynthesis in response to environmental factors. The optimal environmental conditions obtained for EGCG biosynthesis were as follows: 28℃, 70 % relative humidity of the substrate, and 280 µmol·m-2·s-1 light intensity; the EGCG content was increased by 86.83 % compared to the control (CK1). Meanwhile, the order of EGCG content in response to the interaction of ecological factors was as follows: interaction of temperature and light intensity > interaction of temperature and relative humidity of the substrate > interaction of light intensity and relative humidity of the substrate, indicating that temperature was the dominant ecological factors. EGCG biosynthesis in tea plants was found to be comprehensively regulated by a series of structural genes (CsANS, CsF3H, CsCHI, CsCHS, and CsaroDE), miRNAs (miR164, miR396d, miR5264, miR166a, miR171d, miR529, miR396a, miR169, miR7814, miR3444b, and miR5240), and transcription factors (MYB93, NAC2, NAC6, NAC43, WRK24, bHLH30, and WRK70); further, the metabolic flux was regulated and converted from phenolic acid to the flavonoid biosynthesis pathway based on accelerated consumption of phosphoenolpyruvic acid, d-erythrose-4-phosphate, and l-phenylalanine in response to ambient changes in temperature and light intensity. Overall, the results of this study reveal the effect of ecological factors on EGCG biosynthesis in tea plants, providing novel insights for improving tea quality.

Fingerprint combining with quantitative analysis of multi-components by single marker for quality control of Chenxiang Huaqi tablets.

BACKGROUND: Chenxiang Huaqi tablets (CXHQTs) are a traditional Chinese medicine (TCM) commonly used to treat stomach-related diseases. Currently, the ministerial standards do not provide detailed guidance and regulations on the content determination of CXHQTs, and the reported studies only use individual active components as indicators for determining effective ingredients. OBJECTIVE: The present study aimed to propose a methodology for quality control of CXHQTs based on high-performance liquid chromatography (HPLC) fingerprinting combined with the quantitative analysis of multi-components by single marker (QAMS) method. METHODS: HPLC method was used to determine seven active ingredients and performed fingerprint analysis of CXHQTs. To further process chemometric assessment, technical analysis-model including similarity analysis (SA), hierarchical clustering analysis (HCA), principal components analysis (PCA) and orthogonal partial least squares discrimination analysis (OPLS-DA) was set up to differentiate and classify the 20 batches of samples. RESULTS: After comparing the results of QAMS method with the external standard method (ESM), we found there is no significant difference. Besides, the fingerprint of CXHQT was also established. CONCLUSION: HPLC fingerprint combined with the QAMS could be an efficient and selective analysis technique to achieve a qualitative and quantitative evaluation of executing quality processes.

[Quality evaluation of Chenxianghuaqi tablets by gas chromatographic fingerprint of volatile components].

A gas chromatographic fingerprint combined with chemical pattern recognition was successfully developed and applied to assess the quality consistency of 20 Chenxianghuaqi tablets. Volatile components from the 20 Chenxianghuaqi tablets were extracted with ethanol under ultrasonic conditions. n-Octadecane was used as the internal standard to calculate the amounts of the three main components and to confirm the relative peak areas of the other components. Gas chromatographic fingerprints of the 20 Chenxianghuaqi tablets were established. There were 11 common peaks in the fingerprints, and the similarity of each batch of samples was obtained. Ten common peaks were identified by gas chromatography-mass spectrometry, with reference comparison. The obtained fingerprints were used for the chemical pattern recognition, including hierarchical cluster analysis and the principal component analysis. Different batches of Chenxianghuaqi tablets could be differentiated effectively, and major markers that led to differences among the sample batches were identified. The method proposed in this study is comprehensive and reliable, and it can be used as a valuable reference to evaluate and control the quality of Chenxianghuaqi tablets.