| 液相质谱联用的代谢组方法优化及其在蓝细菌分析中的应用 |
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| 引用本文： | 牛向凤,张晓清,于馨恒,苏营雪,陈磊,张卫文.液相质谱联用的代谢组方法优化及其在蓝细菌分析中的应用[J].生物工程学报,2015,31(4):577-590. |
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| 作者姓名： | 牛向凤 张晓清 于馨恒 苏营雪 陈磊 张卫文 |
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| 作者单位： | 天津大学化工学院 合成微生物学实验室，天津 300072,天津大学化工学院 合成微生物学实验室，天津 300072,天津大学化工学院 合成微生物学实验室，天津 300072,天津大学化工学院 合成微生物学实验室，天津 300072,天津大学化工学院 合成微生物学实验室，天津 300072,天津大学化工学院 合成微生物学实验室，天津 300072 |
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| 基金项目： | 国家重点基础研究发展计划 (973计划) (Nos. 2011CBA00803, 2012CB721101)，国家高技术研究发展计划 (863计划) (No. 2012AA02A707) 资助。 |
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| 摘 要： | 为了准确鉴定光合蓝细菌中的各种代谢物,需要对基于液相色谱–质谱联用仪(LC-MS)的代谢组学分析方法进行有针对性的优化。本研究选取了24种涉及中心碳代谢和能量代谢的代谢物作为LC-MS的检测目标,获得了每个代谢物的最适色谱分离条件和质谱参数;同时以光合蓝细菌Synechocystis sp.PCC6803为主要对象,针对性地优化了样品前处理条件,结果显示适当延长梯度洗脱顺序表的时间并将流速设为0.2 m L/min可以得到最佳的分离效果,同时选择80%(V/V)甲醇(-80?C)作为代谢物萃取剂。分析结果证明这一代谢组分析技术可以成功地应用到光合蓝细菌的研究中。
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| 关 键 词： | LC-MS 代谢物 代谢组学 蓝细菌 |
| 收稿时间： | 2014/7/19 0:00:00 |
Optimization and application of targeted LC-MS metabolomic analyses in photosynthetic cyanobacteria |
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| Xiangfeng Niu,Xiaoqing Zhang,Xinheng Yu,Yingxue Su,Lei Chen and Weiwen Zhang.Optimization and application of targeted LC-MS metabolomic analyses in photosynthetic cyanobacteria[J].Chinese Journal of Biotechnology,2015,31(4):577-590. |
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| Authors: | Xiangfeng Niu Xiaoqing Zhang Xinheng Yu Yingxue Su Lei Chen and Weiwen Zhang |
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| Institution: | Laboratory of Synthetic Microbiology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China,Laboratory of Synthetic Microbiology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China,Laboratory of Synthetic Microbiology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China,Laboratory of Synthetic Microbiology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China,Laboratory of Synthetic Microbiology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China and Laboratory of Synthetic Microbiology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China |
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| Abstract: | To accurately analyze metabolites in industry-important photosynthetic microbes, LC-MS based metabolomics protocol needs to be optimized specifically for individual species. In this study, an LC-MS based metabolomics method was optimized for cyanobacterium Synechocystis sp. PCC 6803. With the optimized extraction, liquid chromatographic and mass spectral parameters, the method was capable of detecting 24 important metabolites related to central carbohydrate and energy metabolism in Synechocystis sp. PCC 6803. The study laid an important foundation for the metabolomics analysis of cyanobacteria. |
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| Keywords: | LC-MS metabolites metabolomics cyanobacterium Synechocystis |
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