化学学报 ›› 2012, Vol. 70 ›› Issue (24): 2513-2517.DOI: 10.6023/A12110883 上一篇    下一篇

研究论文

代谢指纹分析筛选调节金橙黄微小杆菌ATCC49676乳酸产量的代谢物

练荣伟a,b, 田晶a, 高鹏b, 王希越b, 费旭a, 王一a, 许国旺b   

  1. a 大连工业大学生物工程学院 大连 116034;
    b 中国科学院大连化学物理研究所 分离分析化学重点实验室 大连 116023
  • 收稿日期:2012-11-07 出版日期:2012-12-28 发布日期:2012-11-26
  • 通讯作者: 田晶, 高鹏 E-mail:tianjing@dlpu.edu.cn; xuhe@medmail.com.cn
  • 基金资助:

    项目受973计划(No. 2007CB707802)、中科院知识创新项目(No. KSCX1-YW-11)、国家自然科学基金(No. 20776029)和辽宁省高校人才项目(No. 2008RC07)资助.

Screening of Metabolite Regulating Lactic Acid Production of Exiguobacterium aurantiacum ATCC49676 by Metabolic Fingerprint Analysis

Lian Rongweia,b, Tian Jinga, Gao Pengb, Wang Xiyueb, Fei Xua, Wang Yia, Xu Guowangb   

  1. a School of Bioengineering, Dalian Polytechnic University, Dalian 116034;
    b CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023
  • Received:2012-11-07 Online:2012-12-28 Published:2012-11-26
  • Supported by:

    Project supported by the “973” project (No. 2007CB707802), Knowledge Innovation Program of Chinese Academy of Sciences (No. KSCX1-YW-11), the National Natural Science Foundation of China (No. 20776029), and the program of Talents in Universities supported by Liaoning Province (No. 2008RC07).

金橙黄微小杆菌ATCC49676具有巨大的产乳酸潜力. 为筛查可能影响或调节乳酸产量的代谢物, 研究首先通过全因子实验设计优化并确定了最大乳酸产量的培养基组成. 然后, 通过气相色谱质谱联用技术对在基础培养基和优化培养基培养条件下的培养物进行代谢指纹分析. 显著性分析发现, 两种培养条件下胞内的谷氨酸变化最为显著. 当ATCC49676在外加谷氨酸培养时, 乳酸的产量随着谷氨酸浓度的增加而下降. 相对酶定量证实了谷氨酸可降低胞内乳酸脱氢酶含量. 研究证实了代谢指纹分析在探究表型特异性胞内代谢物上的价值以及它在改进工业发酵效率上的潜在作用.

关键词: 代谢指纹分析, 乳酸, 气相色谱-质谱联用, L-谷氨酸, 乳酸脱氢酶

A strain of Exiguobacterium aurantiacum ATCC49676 was found to be of great potential to produce lactic acid (LA). In order to screen the metabolites that might regulate or affect the acid yield, a relative higher LA production condition was defined through full factorial experiment design. Fresh cultures harvested from the basic and the higher LA production conditions were subjected to metabolic fingerprint analysis by gas chromatography-mass spectrometry. Significance analysis indicated a distinct change of an intercellular metabolite-L-glutamic acid (Glu). When ATCC49676 was treated by Glu, LA yield declined with the increasing added Glu concentrations. Relative enzyme quantification confirmed that Glu decreased the intracellular lactate dehydrogenase content. This study proved the merit of metabolic fingerprint analysis in exploring the phenotype specific intracellular metabolite and its potential roles in improving industrial fermentation efficiencies.

Key words: metabolic fingerprint analysis, lactic acid, GC-MS, L-glutamic acid, LDH