Park Yong-Cheol, Lee Do-Yup, Lee Dae-Hee, Kim Hyo-Jin, Ryu Yeon-Woo, Seo Jin-Ho
School of Agricultural Biotechnology, Center for Agricultural Biomaterials, Seoul National University, Seoul 151-742, Korea.
J Chromatogr B Analyt Technol Biomed Life Sci. 2005 Feb 5;815(1-2):251-60. doi: 10.1016/j.jchromb.2004.10.065.
In-depth knowledge bases on physiological properties of microbes are required to design a better microbial system at a gene level and to develop an industrially viable process in an optimized scheme. Proteomic analyses of industrially useful microorganisms are particularly important for achieving such objectives. In this review, industrial application of erythritol in food and pharmaceutical areas and proteomic techniques for erythritol-producing microbes were presented. Proteomic technologies for erythritol-producing strains such as Candida magnoliae contained protein or peptide sample preparation for two-dimensional electrophoresis and mass spectrometry, analysis of proteome with matrix assisted laser desorption-ionization/time-of-flight mass spectrometry, liquid chromatography/electrospray ionization/tandem mass spectrometry and similarity searching algorithms. The proteomic information was applied to predict the carbon metabolism of erythritol-synthesizing microorganisms.
为了在基因水平上设计更好的微生物系统,并以优化方案开发具有工业可行性的工艺,需要深入了解微生物的生理特性知识库。对工业上有用的微生物进行蛋白质组分析对于实现这些目标尤为重要。在本综述中,介绍了赤藓糖醇在食品和制药领域的工业应用以及用于生产赤藓糖醇的微生物的蛋白质组学技术。用于生产赤藓糖醇的菌株(如大孢假丝酵母)的蛋白质组学技术包括二维电泳和质谱分析的蛋白质或肽样品制备、基质辅助激光解吸电离/飞行时间质谱、液相色谱/电喷雾电离/串联质谱分析以及相似性搜索算法。蛋白质组学信息被用于预测合成赤藓糖醇的微生物的碳代谢。