上海预防医学
上海預防醫學
상해예방의학
SHANGHAI JOURNAL OF PREVENTIVE MEDICINE
2014年
9期
465-468
,共4页
陈洪友%屠丽红%陈敏%宋元君%张曦
陳洪友%屠麗紅%陳敏%宋元君%張晞
진홍우%도려홍%진민%송원군%장희
分子分型%指纹图谱%脉冲场凝胶电泳
分子分型%指紋圖譜%脈遲場凝膠電泳
분자분형%지문도보%맥충장응효전영
s:Molecular subtyping%Fingerprint%PFGE
[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BioN-umerics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。
[目的]建立操作簡便、軟件依賴性低、結果易于交流的脈遲場凝膠電泳( PFGE)指紋圖譜分析新方法。[方法]按PulseNet標準操作規程,對44株副溶血性弧菌進行PFGE分型試驗,分彆利用分區條帶計數法和BioN-umerics軟件對圖譜進行分析,併以型彆數、成簇數和Simpson’ s多樣性指數( DI)對2種分析方法進行比較。[結果]分區條帶計數法可將44株菌分為32箇型(DI=97.6%),能髮現5簇。 BioNumerics 聚類分析可分為29箇BN型(DI=95.5%),能髮現4簇。在髮現菌株成簇的能力上,2種分析方法的差異無統計學意義。[結論]條帶計數法能大大減少肉眼觀察的圖譜數量,具有操作簡便、成本低、對軟件依賴性小、結果顯示簡單直接的特點,能直觀反映菌株條帶的分佈特徵,因此應能滿足分型信息共享與交流的要求。
[목적]건립조작간편、연건의뢰성저、결과역우교류적맥충장응효전영( PFGE)지문도보분석신방법。[방법]안PulseNet표준조작규정,대44주부용혈성호균진행PFGE분형시험,분별이용분구조대계수법화BioN-umerics연건대도보진행분석,병이형별수、성족수화Simpson’ s다양성지수( DI)대2충분석방법진행비교。[결과]분구조대계수법가장44주균분위32개형(DI=97.6%),능발현5족。 BioNumerics 취류분석가분위29개BN형(DI=95.5%),능발현4족。재발현균주성족적능력상,2충분석방법적차이무통계학의의。[결론]조대계수법능대대감소육안관찰적도보수량,구유조작간편、성본저、대연건의뢰성소、결과현시간단직접적특점,능직관반영균주조대적분포특정,인차응능만족분형신식공향여교류적요구。
To establish a new method for PFGE fingerprint analysis , which is easy-to-operate , 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 .