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Front Plant Sci

Title:		Metabolomic profiling of developing perilla leaves reveals the best harvest time
Author(s):		Chen J; Guo L; Yang G; Yang A; Zheng Y; Wang L;
Address:		"College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang, China. Traditional Chinese Medicine Processing Technology Innovation Center of Hebei Province, School of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang, China. International Joint Research Center on Resource Utilization and Quality Evaluation of Traditional Chinese Medicine of Hebei Province, School of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang, China. Department of Pharmaceutical Engineering, Hebei Chemical and Pharmaceutical College, Shijiazhuang, China"
Journal Title:		Front Plant Sci
Year:		2022
Volume:		20221130
Issue:
Page Number:		989755 -
DOI:		10.3389/fpls.2022.989755
ISSN/ISBN:		1664-462X (Print) 1664-462X (Electronic) 1664-462X (Linking)
Abstract:		"Ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS) and gas chromatography-mass spectrometry (GC-MS) were applied to analyze metabolites in perilla leaves (PLs) during its developmental process. In total, 118 metabolites were identified, including volatile and non-volatile compounds, such as terpenoids, sugars, amino acids, organic acids, fatty acids, phenolic acids, flavonoids, and others. Principal component analysis (PCA) indicated great variations of metabolites during PLs development. Clustering analysis (CA) clarified the dynamic patterns of the metabolites. The heatmap of CA showed that most of the detected metabolites were significantly accumulated at stage 4 which is the pre anthesis period, and declined afterwards. The results of the present study provide a comprehensive overview of the metabolic dynamics of developing PLs which suggested that pre anthesis period is the best harvest time for PLs"
Keywords:		Perilla leaf harvest time mass spectrometry metabolomic dynamics multivariate statistical analysis;
Notes:		"PubMed-not-MEDLINEChen, Jiabao Guo, Long Yang, Guiya Yang, Aitong Zheng, Yuguang Wang, Lei eng Switzerland 2022/12/20 Front Plant Sci. 2022 Nov 30; 13:989755. doi: 10.3389/fpls.2022.989755. eCollection 2022"