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Front Plant Sci

Title:		Optimization of a static headspace GC-MS method and its application in metabolic fingerprinting of the leaf volatiles of 42 citrus cultivars
Author(s):		Deng H; He R; Huang R; Pang C; Ma Y; Xia H; Liang D; Liao L; Xiong B; Wang X; Zhang M; Ao X; Yu B; Han D; Wang Z;
Address:		"Institute of Pomology and Olericulture, College of Horticulture, Sichuan Agricultural University, Chengdu, China. Sichuan Dan Cheng Modern Fruit Industry Co., Ltd., Meishan, China. Ningbo Tian Yuan Mu Ge Agricultural Development Co., Ltd., Ningbo, China"
Journal Title:		Front Plant Sci
Year:		2022
Volume:		20221208
Issue:
Page Number:		1050289 -
DOI:		10.3389/fpls.2022.1050289
ISSN/ISBN:		1664-462X (Print) 1664-462X (Electronic) 1664-462X (Linking)
Abstract:		"Citrus leaves, which are a rich source of plant volatiles, have the beneficial attributes of rapid growth, large biomass, and availability throughout the year. Establishing the leaf volatile profiles of different citrus genotypes would make a valuable contribution to citrus species identification and chemotaxonomic studies. In this study, we developed an efficient and convenient static headspace (HS) sampling technique combined with gas chromatography-mass spectrometry (GC-MS) analysis and optimized the extraction conditions (a 15-min incubation at 100 C without the addition of salt). Using a large set of 42 citrus cultivars, we validated the applicability of the optimized HS-GC-MS system in determining leaf volatile profiles. A total of 83 volatile metabolites, including monoterpene hydrocarbons, alcohols, sesquiterpene hydrocarbons, aldehydes, monoterpenoids, esters, and ketones were identified and quantified. Multivariate statistical analysis and hierarchical clustering revealed that mandarin (Citrus reticulata Blanco) and orange (Citrus sinensis L. Osbeck) groups exhibited notably differential volatile profiles, and that the mandarin group cultivars were characterized by the complex volatile profiles, thereby indicating the complex nature and diversity of these mandarin cultivars. We also identified those volatile compounds deemed to be the most useful in discriminating amongst citrus cultivars. This method developed in this study provides a rapid, simple, and reliable approach for the extraction and identification of citrus leaf volatile organic compound, and based on this methodology, we propose a leaf volatile profile-based classification model for citrus"
Keywords:		mandarins (Citrus reticulata Blanco) orange (Citrus sinensis L.Osbeck) partial least-squares discriminate analysis principal component analysis volatile organic compounds;
Notes:		"PubMed-not-MEDLINEDeng, Honghong He, Runmei Huang, Rong Pang, Changqing Ma, Yuanshuo Xia, Hui Liang, Dong Liao, Ling Xiong, Bo Wang, Xun Zhang, Mingfei Ao, Xiang Yu, Bo Han, Dongdao Wang, Zhihui eng Switzerland 2022/12/27 Front Plant Sci. 2022 Dec 8; 13:1050289. doi: 10.3389/fpls.2022.1050289. eCollection 2022"