Literature DB >> 24865655

Study of metabolite differences of flue-cured tobacco from different regions using a pseudotargeted gas chromatography with mass spectrometry selected-ion monitoring method.

Yanni Zhao1, Chunxia Zhao, Yanli Li, Yuwei Chang, Junjie Zhang, Zhongda Zeng, Xin Lu, Guowang Xu.   

Abstract

A pseudotargeted method based on gas chromatography and mass spectrometry with selected-ion monitoring was established to investigate the metabolite differences of flue-cured tobacco from three different growing regions. The mixed solvent of acetonitrile/isopropanol/water (3:3:2, v/v/v) was chosen as the optimal extraction system based on the good repeatability and extraction efficiency. A self-developed software coupled with commercial software was used to establish the pseudotargeted method including 289 peaks and 47 groups. Multivariable statistical analysis indicated that tobacco samples can be obviously separated based on the geographical origins. On the basis of a Mann-Whitney U test, organic acids, phenols, and alkaloids had higher levels in Hunan province. In contrast, a large proportion of amino acids (including L-tyrosine, L-proline, and serine), sucrose, and linoleic acid were the highest in Yunnan province. Meanwhile, multiple metabolic pathways (including carbohydrate metabolism, tricarboxylic acid cycle, and nitrogen metabolism) were influenced by growing regions. Twenty-eight differential metabolites, which had great contributions to the classification of tobacco samples of three growing regions, were further defined. The results demonstrated that the developed pseudotargeted method was a powerful tool to investigate the metabolic profiling of tobacco leaves and discriminate tobacco leaves of different growing regions.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Flue-cured tobacco; Gas chromatography with mass spectrometry; Pseudotargeted analysis; Selected-ion monitoring

Mesh:

Substances:

Year:  2014        PMID: 24865655     DOI: 10.1002/jssc.201400097

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  5 in total

1.  Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis.

Authors:  Yu Pan; Ji Zhang; Tao Shen; Yan-Li Zhao; Yuan-Zhong Wang; Wan-Yi Li
Journal:  BMC Biochem       Date:  2015-03-28       Impact factor: 4.059

2.  Proteomic and Phosphoproteomic Analysis in Tobacco Mosaic Virus-Infected Tobacco (Nicotiana tabacum).

Authors:  Zi-Shu Lu; Qian-Si Chen; Qing-Xia Zheng; Juan-Juan Shen; Zhao-Peng Luo; Kai Fan; Sheng-Hao Xu; Qi Shen; Ping-Ping Liu
Journal:  Biomolecules       Date:  2019-01-23

3.  A metabolomics study delineating geographical location-associated primary metabolic changes in the leaves of growing tobacco plants by GC-MS and CE-MS.

Authors:  Yanni Zhao; Jieyu Zhao; Chunxia Zhao; Huina Zhou; Yanli Li; Junjie Zhang; Lili Li; Chunxiu Hu; Wenzheng Li; Xiaojun Peng; Xin Lu; Fucheng Lin; Guowang Xu
Journal:  Sci Rep       Date:  2015-11-09       Impact factor: 4.379

4.  Metabolic profiles of Cuibi-1 and Zhongyan-100 flue-cured tobacco leaves in different growing regions by gas chromatography/mass spectrometry.

Authors:  Bo Sun; Ai-Hong Zheng; Fen Zhang; Ke-Su Wei; Qing Chen; Ya Luo; Yong Zhang; Xiao-Rong Wang; Fu-Cheng Lin; Jun Yang; Hao-Ru Tang
Journal:  R Soc Open Sci       Date:  2018-05-30       Impact factor: 2.963

5.  The integration of multi-platform MS-based metabolomics and multivariate analysis for the geographical origin discrimination of Oryza sativa L.

Authors:  Dong Kyu Lim; Changyeun Mo; Jeong Hee Lee; Nguyen Phuoc Long; Ziyuan Dong; Jing Li; Jongguk Lim; Sung Won Kwon
Journal:  J Food Drug Anal       Date:  2017-11-10       Impact factor: 6.157

  5 in total

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