Literature DB >> 24090132

Investigation of the relationship between the metabolic profile of tobacco leaves in different planting regions and climate factors using a pseudotargeted method based on gas chromatography/mass spectrometry.

Yanni Zhao1, Chunxia Zhao, Xin Lu, Huina Zhou, Yanli Li, Jia Zhou, Yuwei Chang, Junjie Zhang, Lifeng Jin, Fucheng Lin, Guowang Xu.   

Abstract

An improved pseudotargeted method using gas chromatography/mass spectrometry (GC/MS) was developed to investigate the metabolic profile of tobacco leaves from three planting regions (Yunnan, Guizhou, and Henan provinces). The analytical characteristics of the method with regard to reproducibility, precision, linearity, and stability were satisfactory for metabolic profiling study. Partial least-squares-discriminant analysis and hierarchical cluster analysis demonstrated that the metabolic profiles of tobacco from the Yunnan and Guizhou regions were different from that from the Henan province. The amino acid (e.g., phenylalanine, leucine, and tyrosine) and carbohydrate (e.g., fructose, trehalose, and sucrose) contents were the highest in Henan tobacco. The highest contents of organic acids (e.g., isocitrate, citrate, and fumarate) of the TCA cycle and antioxidants (e.g., quinate, chlorogenic acid, and ascorbate) were found in Guizhou tobacco. The correlation coefficients between metabolite content and climate factors (rainfall, sunshine, and temperature) demonstrated that drought facilitated the accumulation of sugars and amino acids. The content of TCA cycle intermediates could be influenced by multiple climate factors. This study demonstrates that the pseudotargeted method with GC/MS is suitable for the investigation of the metabolic profiling of tobacco leaves and the assessment of differential metabolite levels related to the growing regions.

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Year:  2013        PMID: 24090132     DOI: 10.1021/pr400799a

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  10 in total

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2.  Geographic and position-based variations in phyllospheric bacterial communities present on flue-cured tobacco.

Authors:  Jianbin Ye; Yilang Ding; Xiaona Qi; Jia Xu; Xuepeng Yang; Zhan Zhang
Journal:  Appl Microbiol Biotechnol       Date:  2021-11-18       Impact factor: 4.813

3.  Discovery and validation of potential urinary biomarkers for bladder cancer diagnosis using a pseudotargeted GC-MS metabolomics method.

Authors:  Yang Zhou; Ruixiang Song; Chong Ma; Lina Zhou; Xinyu Liu; Peiyuan Yin; Zhensheng Zhang; Yinghao Sun; Chuanliang Xu; Xin Lu; Guowang Xu
Journal:  Oncotarget       Date:  2017-03-28

4.  Comparative Metabolome Profile between Tobacco and Soybean Grown under Water-Stressed Conditions.

Authors:  Roel C Rabara; Prateek Tripathi; Paul J Rushton
Journal:  Biomed Res Int       Date:  2017-01-03       Impact factor: 3.411

5.  Integrating transcriptome and metabolome reveals molecular networks involved in genetic and environmental variation in tobacco.

Authors:  Pingping Liu; Jie Luo; Qingxia Zheng; Qiansi Chen; Niu Zhai; Shengchun Xu; Yalong Xu; Lifeng Jin; Guoyun Xu; Xin Lu; Guowang Xu; Gangjun Wang; Jianfeng Shao; Hai-Ming Xu; Peijian Cao; Huina Zhou; Xusheng Wang
Journal:  DNA Res       Date:  2020-04-01       Impact factor: 4.458

6.  Characterization and functional analysis of phytoene synthase gene family in tobacco.

Authors:  Zhaojun Wang; Lin Zhang; Chen Dong; Jinggong Guo; Lifeng Jin; Pan Wei; Feng Li; Xiaoquan Zhang; Ran Wang
Journal:  BMC Plant Biol       Date:  2021-01-07       Impact factor: 4.215

7.  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

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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

9.  The roles of metabolic pathways in maintaining primary dormancy of Pinus koraiensis seeds.

Authors:  Yuan Song; Jiaojun Zhu
Journal:  BMC Plant Biol       Date:  2019-12-11       Impact factor: 4.215

10.  Nitrogen application and differences in leaf number retained after topping affect the tobacco (Nicotiana tabacum) transcriptome and metabolome.

Authors:  Bo Lei; Wei Chang; Huina Zhao; Kai Zhang; Jing Yu; Shizhou Yu; Kai Cai; Jie Zhang; Kun Lu
Journal:  BMC Plant Biol       Date:  2022-01-19       Impact factor: 4.215

  10 in total

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