用于脉冲场凝胶电泳指纹图谱分析的分区条带计数法的建立

Partition bands counting established for PFEG fingerprint analysis

[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] To establish a new method for PFGE fingerprint analysis,which is easy-tooperate,inexpensive,software-low-dependent and readily-exchangeable. [Methods] A group of 44 vibrio parahaemolyticus was subtyped according to PulseNet standardized PFGE protocol. The fingerprint was analyzed with new gel-partition bands counting method and BioNumerics clustering separately and then the results by the two methods were compared with type number,cluster number and Simpson＇s Index of Diversity（ DI）. [Results] The 44 isolates could be typed into 32 types and 5 clusters were found by gel-partition bands counting method（ DI = 97. 6%）. BioNumerics could type the same isolates into 29 types and 4 clusters were found（ DI = 95. 5%）. The difference in the ability of finding clusters between the two methods was not statistically significant. [Conclusion] Gel-partition bands counting method is based on the bands distribution among finger print and greatly reduces the number of visually observed spectrum,which is easy-to-operate,inexpensive,software-low-dependent and readily-exchangeable.