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嗜麦芽窄食单胞菌可变数目串联重复序列(VNTR)的鉴定及优化多位点VNTR分析分型方案的建立

Identification of Variable-Number Tandem-Repeat (VNTR) Sequences in Acinetobacter pittii and Development of an Optimized Multiple-Locus VNTR Analysis Typing Scheme.

作者信息

Hu Yuan, Li Bo Qing, Jin Da Zhi, He Li Hua, Tao Xiao Xia, Zhang Jian Zhong

机构信息

State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.

Binzhou Medical College, Yantai 256603, Shandong, China.

出版信息

Biomed Environ Sci. 2015 Dec;28(12):855-63. doi: 10.3967/bes2015.119.

Abstract

OBJECTIVE

To develop a multiple-locus variable-number tandem-repeat (VNTR) analysis (MLVA) assay for Acinetobacter pittii typing.

METHODS

Polymorphic VNTRs were searched by Tandem Repeats Finder. The distribution and polymorphism of each VNTR locus were analyzed in all the A. pittii genomes deposited in the NCBI genome database by BLAST and were evaluated with a collection of 20 well-characterized clinical A. pittii strains and one reference strain. The MLVA assay was compared with pulsed-field gel electrophoresis (PFGE) for discriminating A. pittii isolates.

RESULTS

Ten VNTR loci were identified upon bioinformatic screening of A. pittii genomes, but only five of them showed full amplifiability and good polymorphism. Therefore, an MLVA assay composed of five VNTR loci was developed. The typeability, reproducibility, stability, discriminatory power, and epidemiological concordance were excellent. Compared with PFGE, the new optimized MLVA typing scheme provided the same and even greater discrimination.

CONCLUSION

Compared with PFGE, MLVA typing is a faster and more standardized alternative for studying the genetic relatedness of A. pittii isolates in disease surveillance and outbreak investigation.

摘要

目的

开发一种用于皮氏不动杆菌分型的多位点可变数目串联重复序列(VNTR)分析(MLVA)方法。

方法

通过串联重复序列查找器搜索多态性VNTR。利用BLAST分析NCBI基因组数据库中所有皮氏不动杆菌基因组中每个VNTR位点的分布和多态性,并使用20株特征明确的临床皮氏不动杆菌菌株和1株参考菌株进行评估。将MLVA方法与脉冲场凝胶电泳(PFGE)用于区分皮氏不动杆菌分离株进行比较。

结果

对皮氏不动杆菌基因组进行生物信息学筛选后鉴定出10个VNTR位点,但其中只有5个显示出完全可扩增性和良好的多态性。因此,开发了一种由5个VNTR位点组成的MLVA方法。其分型能力、可重复性、稳定性、鉴别力和流行病学一致性都非常出色。与PFGE相比,新优化的MLVA分型方案提供了相同甚至更高的鉴别力。

结论

与PFGE相比,MLVA分型是在疾病监测和暴发调查中研究皮氏不动杆菌分离株遗传相关性的一种更快且更标准化的替代方法。

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