Division of CBRN Security and Defence, FOI, Swedish Defence Research Agency, SE- 906 21, Umeå, Sweden.
BMC Microbiol. 2012 Sep 25;12:220. doi: 10.1186/1471-2180-12-220.
Recent advances in sequencing technologies offer promising tools for generating large numbers of genomes, larger typing databases and improved mapping of environmental bacterial diversity. However, DNA-based methods for the detection of Francisella were developed with limited knowledge about genetic diversity. This, together with the high sequence identity between several Francisella species, means there is a high risk of false identification and detection of the highly virulent pathogen Francisella tularensis. Moreover, phylogenetic reconstructions using single or limited numbers of marker sequences often result in incorrect tree topologies and inferred evolutionary distances. The recent growth in publicly accessible whole-genome sequences now allows evaluation of published genetic markers to determine optimal combinations of markers that minimise both time and laboratory costs.
In the present study, we evaluated 38 previously published DNA markers and the corresponding PCR primers against 42 genomes representing the currently known diversity of the genus Francisella. The results highlight that PCR assays for Francisella tularensis are often complicated by low specificity, resulting in a high probability of false positives. A method to select a set of one to seven markers for obtaining optimal phylogenetic resolution or diagnostic accuracy is presented.
Current multiple-locus sequence-typing systems and detection assays of Francisella, could be improved by redesigning some of the primers and reselecting typing markers. The use of only a few optimally selected sequence-typing markers allows construction of phylogenetic topologies with almost the same accuracy as topologies based on whole-genome sequences.
测序技术的最新进展为生成大量基因组、更大的分型数据库以及改进环境细菌多样性的图谱提供了有前景的工具。然而,基于 DNA 的弗朗西斯菌检测方法是在对遗传多样性的了解有限的情况下开发的。这一点,再加上几种弗朗西斯菌之间的高度序列同一性,意味着存在假识别和高度毒力病原体土拉弗朗西斯菌检测的高风险。此外,使用单个或有限数量的标记序列进行系统发育重建通常会导致错误的树拓扑结构和推断的进化距离。最近公开的全基因组序列的增长现在允许评估已发表的遗传标记,以确定最小化时间和实验室成本的最佳标记组合。
在本研究中,我们评估了 38 个先前发表的 DNA 标记和相应的 PCR 引物,这些标记和引物针对代表弗朗西斯菌属目前已知多样性的 42 个基因组。结果强调,用于检测土拉弗朗西斯菌的 PCR 检测方法通常存在特异性低的问题,导致假阳性的可能性很高。提出了一种选择一组一到七个标记以获得最佳系统发育分辨率或诊断准确性的方法。
当前的弗朗西斯菌多位点序列分型系统和检测方法可以通过重新设计一些引物和重新选择分型标记来改进。仅使用几个最佳选择的序列分型标记可以构建与基于全基因组序列构建的拓扑结构几乎相同准确的系统发育拓扑结构。