Suppr超能文献

对哈萨克斯坦阿拉木图淋病奈瑟菌分离株进行 VNTR 分析、Opa 分型和 NG-MAST 分子特征分析。

Molecular characterization of Neisseria gonorrhoeae isolates in Almaty, Kazakhstan, by VNTR analysis, Opa-typing and NG-MAST.

机构信息

Group of Pharmacogenomics, Institute of Chemical Biology and Fundamental Medicine, Lavrentjeva 8, Novosibirsk 630090, Russia.

出版信息

Infect Genet Evol. 2012 Apr;12(3):570-6. doi: 10.1016/j.meegid.2012.01.026. Epub 2012 Feb 8.

Abstract

In the present study, new variable number tandem repeats (VNTR) loci in the Neisseria gonorrhoeae genome were identified in silico. VNTR analysis scheme using PCR and agarose or polyacrylamide gel electrophoresis was developed based on nine VNTR loci with various degrees of polymorphism. The method was used to genotype a collection of 48 isolates, obtained from patients with gonorrhea in Almaty, Kazakhstan during the period from December 2008 to November 2009. This collection of isolates was also characterized by the opa-typing and multiantigen sequence typing (NG-MAST). The discriminatory power of the VNTR analysis translated by Hunter-Gaston Discrimination Index (HGDI) was similar to that of opa typing (HGDI=0.98 versus 0.97) and slightly higher than that of NG-MAST (HDGI=0.95). The adjusted Rand (AR) coefficients and Wallace coefficients showed that the overall concordance between the typing methods was not high. VNTR analysis described here is simple, inexpensive, easy to interpret, and it would be reliable for the comparison of data obtained in different laboratories. The proposed VNTR loci might be used for epidemiological studies of gonococcal infections.

摘要

在本研究中,我们通过计算机在淋病奈瑟菌基因组中鉴定出了新的可变数串联重复(VNTR)基因座。基于 9 个具有不同程度多态性的 VNTR 基因座,我们开发了一种使用 PCR 和琼脂糖或聚丙烯酰胺凝胶电泳的 VNTR 分析方案。该方法用于对 2008 年 12 月至 2009 年 11 月期间哈萨克斯坦阿拉木图淋病患者的 48 株分离株进行基因分型。该分离株集合还通过 opa 分型和多抗原序列分型(NG-MAST)进行了特征描述。通过 Hunter-Gaston 鉴别指数(HGDI)翻译的 VNTR 分析的辨别力与 opa 分型相似(HGDI=0.98 与 0.97),略高于 NG-MAST(HGDI=0.95)。调整后的 Rand(AR)系数和 Wallace 系数表明,这些分型方法之间的总体一致性不高。这里描述的 VNTR 分析简单、廉价、易于解释,并且对于比较不同实验室获得的数据是可靠的。所提出的 VNTR 基因座可用于淋病奈瑟菌感染的流行病学研究。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验