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目的通过对喹诺酮耐药鲍曼不动杆菌(AB)的扩增片段长度多态性分析(AFLP),了解鲍曼不动杆菌的同源性,并探讨其耐药基因分型与AFLP分型之间的联系。方法 Primer Premier 5软件设计11对喹诺酮耐药基因,利用PCR技术对52株喹诺酮耐药鲍曼不动杆菌进行分析,同时使用扩增片段长度多态性分析(AFLP)技术研究基因型,Cross Checker和ntsys软件分析耐药基因和UPGMA方法分析AFLP基因的树型聚类情况。结果 52株鲍曼不动杆菌均对喹诺酮类药物耐药。由聚类分析的结果显示,该52株AB可分2个基因群,其中A群包括A1、A2和A3三个亲缘关系相近的基因型,B群则包括B1和B2两个亲缘关系相近的基因型,A1型为优势菌群。同型的A27、28、30、32、37、47、56均分离自ICU,ICU可能存在过耐药AB的暴发流行。通过与前期研究比较,耐药基因的多基因聚类分析与AFLP树型聚类分析具有一致性也存在不同之处。结论 ICU或许已成为耐药AB菌传播的一个重要枢纽。两种细菌分类方法各有优势,AFLP法是针对全细菌基因组的限制性酶切,在调查细菌流行病学和监控医院整体感染情况方面更权威。
OBJECTIVE: To investigate the homology of Acinetobacter baumannii (AFM) by analyzing the amplified fragment length polymorphism (AFLP) of quinolone-resistant Acinetobacter baumannii (AB) and to explore its resistance genotyping and AFLP typing the relationship between. Methods Primer Premier 5 software designed 11 quinolone resistance genes, and analyzed 52 strains of quinolone-resistant Acinetobacter baumannii by PCR. Genotypes were also studied by using the amplified fragment length polymorphism (AFLP) technique. Cross Checker And ntsys software analysis of drug resistance genes and UPGMA analysis AFLP gene tree clustering. Results 52 strains of Acinetobacter baumannii were resistant to quinolones. The results of cluster analysis showed that the 52 AB isolates belonged to 2 gene groups, of which A group included three genotypes A1, A2 and A3 with similar genetic relationship, while group B included two genotypes B1 and B2 with similar genetic relationship Genotype, A1 is the dominant flora. Homologous A27,28,30,32,37,47,56 were isolated from the ICU ICU may have been outbreaks of drug-resistant AB. Compared with previous studies, there are also differences between the multigene cluster analysis of resistant genes and AFLP tree cluster analysis. Conclusion The ICU may have become an important hub for the spread of resistant AB bacteria. Two bacterial classification methods have their own advantages. The AFLP method is a restriction enzyme digest of the whole bacterial genome and is more authoritative in investigating bacterial epidemiology and monitoring the overall hospital infection.