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Evaluation and Strategy for Use of MIRU-VNTRplus, a Multifunctional Database for Online Analysis of Genotyping Data and Phylogenetic Identification of Mycobacterium tuberculosis Complex Isolates▿

机译:MIRU-VNTRplus评估和使用策略,MIRU-VNTRplus是一个多功能数据库,用于在线分析基因分型数据和结核分枝杆菌复合菌株的系统发生鉴定ogen

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摘要

Because of its portable data, discriminatory power, and recently proposed standardization, mycobacterial interspersed repetitive-unit-variable-number tandem-repeat (MIRU-VNTR) typing has become a major method for the epidemiological tracking of Mycobacterium tuberculosis complex (MTBC) clones. However, no public MIRU-VNTR database based on well-characterized reference strains has been available hitherto for easy strain identification. Therefore, a collection of 186 reference strains representing the primary MTBC lineages was used to build a database, which is freely accessible at http://www.MIRU-VNTRplus.org. The geographical origin and the drug susceptibility profile of each strain were stored together with comprehensive genetic lineage information, including the 24-locus MIRU-VNTR profile, the spoligotyping pattern, the single-nucleotide- and large-sequence-polymorphism profiles, and the IS6110 restriction fragment length polymorphism fingerprint. Thanks to flexible import functions, a single or multiple user strains can be analyzed, e.g., for lineage identification with or without the use of reference strains, by best-match or tree-based analyses with single or combined marker data sets. The results can easily be exported. In the present study, we evaluated the database consistency and various analysis parameters both by testing the reference collection against itself and by using an external population-based data set comprising 629 different strains. Under the optimal conditions found, lineage predictions based on typing by 24-locus MIRU-VNTR analysis optionally combined with spoligotyping were verified in >99% of the cases. On the basis of this evaluation, a user strategy was defined, which consisted of best-match analysis followed, if necessary, by tree-based analysis. The MIRU-VNTRplus database is a powerful tool for high-resolution clonal identification and has little equivalent in terms of functionalities among the bacterial genotyping databases available so far.
机译:由于其便携式数据,判别力以及最近提出的标准化方法,分枝杆菌穿插的重复单位可变数串联重复(MIRU-VNTR)分型已成为用于结核分枝杆菌复合体(MTBC)克隆的流行病学追踪的主要方法。但是,迄今为止,尚没有基于特征明确的参考菌株的公共MIRU-VNTR数据库可用于轻松鉴定菌株。因此,使用代表主要MTBC谱系的186个参考菌株的集合来建立数据库,该数据库可从http://www.MIRU-VNTRplus.org免费获得。每个菌株的地理起源和药物敏感性谱与全面的遗传谱系信息一起存储,包括24个位点的MIRU-VNTR谱,Spoligotyping模式,单核苷酸和大序列多态性谱以及IS6110限制性片段长度多态性指纹图谱。得益于灵活的导入功能,可以通过使用单个或组合标记数据集的最佳匹配或基于树的分析来分析单个或多个用户菌株,例如在使用或不使用参考菌株的情况下进行谱系鉴定。结果可以轻松导出。在本研究中,我们通过针对自身测试参比数据集以及使用包含629种不同菌株的基于外部人群的数据集,评估了数据库的一致性和各种分析参数。在找到的最佳条件下,> 99%的病例证实了基于通过24位元MIRU-VNTR分析进行分类的血统预测(可选地与盲目的分型相结合)。在此评估的基础上,定义了一种用户策略,其中包括最佳匹配分析,必要时再进行基于树的分析。 MIRU-VNTRplus数据库是用于高分辨率克隆鉴定的强大工具,到目前为止,在可用的细菌基因分型数据库中,其功能几乎不相同。

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