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[目的]建立操作简便、软件依赖性低、结果易于交流的脉冲场凝胶电泳(PFGE)指纹图谱分析新方法。[方法]按PulseNet标准操作规程,对44株副溶血性弧菌进行PFGE分型试验,分别利用分区条带计数法和BioNumerics软件对图谱进行分析,并以型别数、成簇数和Simpson’s多样性指数(DI)对2种分析方法进行比较。[结果]分区条带计数法可将44株菌分为32个型(DI=97.6%),能发现5簇。BioNumerics聚类分析可分为29个BN型(DI=95.5%),能发现4簇。在发现菌株成簇的能力上,2种分析方法的差异无统计学意义。[结论]条带计数法能大大减少肉眼观察的图谱数量,具有操作简便、成本低、对软件依赖性小、结果显示简单直接的特点,能直观反映菌株条带的分布特征,因此应能满足分型信息共享与交流的要求。
[Objective] The purpose was to establish a new method of PFGE fingerprinting with simple operation, low software dependence and easy communication. [Method] The 44 strains of Vibrio parahaemolyticus were subjected to PFGE typing according to the PulseNet standard operating procedure. The bands were counted by zoning method and BioNumerics software respectively. The type, cluster number and diversity of Simpson’s Sex index (DI) Comparison of two analytical methods. [Result] The 44 strains could be divided into 32 types (DI = 97.6%) by partition band counting method and 5 clusters could be found. BioNumerics cluster analysis can be divided into 29 BN type (DI = 95.5%), can be found in 4 clusters. There was no significant difference between the two methods in finding the ability of the strains to cluster. [Conclusion] The band counting method can greatly reduce the number of macroscopic observation maps. It has the characteristics of simple operation, low cost, small dependence on software and simple and direct result. It can directly reflect the distribution characteristics of strain bands and should be able to satisfy Information sharing and communication requirements.