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高通量细菌鉴定方法研究进展
引用本文:刘伟,王腾蛟,唐海琳,谢红卫.高通量细菌鉴定方法研究进展[J].微生物学通报,2014,41(12):2501-2509.
作者姓名:刘伟  王腾蛟  唐海琳  谢红卫
作者单位:国防科技大学 机电工程与自动化学院 湖南 长沙 410073;国防科技大学 机电工程与自动化学院 湖南 长沙 410073;国防科技大学 机电工程与自动化学院 湖南 长沙 410073;国防科技大学 机电工程与自动化学院 湖南 长沙 410073
基金项目:国家自然科学基金项目(No. 31000591,31171266)
摘    要:高通量细菌鉴定是微生物领域的重要研究课题,对于疾病诊断和环境监测具有重要意义。相比传统的表型鉴定方法,分子遗传学鉴定方法具有稳定性高、检测周期短以及成本较低等特点,成为了主流的鉴定方法。特别是下一代DNA测序技术、核酸分子检测基础上的细菌检测芯片、质谱技术基础上的蛋白质图谱分析为高通量、快速、准确乃至定量的细菌鉴定提供了可行性方案。

关 键 词:细菌鉴定  DNA测序  核酸分子检测  蛋白质图谱分析

The research progress of high-throughput bacterial species identification
LIU Wei,WANG Teng-Jiao,TANG Hai-Lin and XIE Hong-Wei.The research progress of high-throughput bacterial species identification[J].Microbiology,2014,41(12):2501-2509.
Authors:LIU Wei  WANG Teng-Jiao  TANG Hai-Lin and XIE Hong-Wei
Institution:College of Mechanical & Electronic Engineering and Automatization, National University of Defense Technology, Changsha, Hunan 410073, China;College of Mechanical & Electronic Engineering and Automatization, National University of Defense Technology, Changsha, Hunan 410073, China;College of Mechanical & Electronic Engineering and Automatization, National University of Defense Technology, Changsha, Hunan 410073, China;College of Mechanical & Electronic Engineering and Automatization, National University of Defense Technology, Changsha, Hunan 410073, China
Abstract:High-throughput bacterial species identification is an important research topic in the area of microbiology, which plays a pivotal role in the disease diagnosis and environmental monitoring. Compared to the traditional phenotypic identification methods, molecular methods have the features of higher stability, shorter detection period and lower cost, which are becoming the main trend in the bacterial species identification. Especially, next generation sequencing technique, the detection chips based on nucleic acid identification, the protein profile analyses based on mass spectrometry provide the valid means for high-throughput, fast, accurate and quantitative bacterial species identification.
Keywords:Bacterial species identification  DNA sequencing  Nucleic acid identification  Protein profile analyses
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