Becker Karsten, Harmsen Dag, Mellmann Alexander, Meier Christian, Schumann Peter, Peters Georg, von Eiff Christof
Institute of Medical Microbiology, University of Münster, D-48149 Münster, Germany.
J Clin Microbiol. 2004 Nov;42(11):4988-95. doi: 10.1128/JCM.42.11.4988-4995.2004.
To establish an improved ribosomal gene sequence database as part of the Ribosomal Differentiation of Microorganisms (RIDOM) project and to overcome the drawbacks of phenotypic identification systems and publicly accessible sequence databases, both strands of the 5' end of the 16S ribosomal DNA (rDNA) of 81 type and reference strains comprising all validly described staphylococcal (sub)species were sequenced. Assuming a normal distribution for pairwise distances of all unique staphylococcal sequences and choosing a reporting criterion of > or =98.7% similarity for a "distinct species," a statistical error probability of 1.0% was calculated. To evaluate this database, a 16S rDNA fragment (corresponding to Escherichia coli positions 54 to 510) of 55 clinical Staphylococcus isolates (including those of the small-colony variant phenotype) were sequenced and analyzed by the RIDOM approach. Of these isolates, 54 (98.2%) had a similarity score above the proposed threshold using RIDOM; 48 (87.3%) of the sequences gave a perfect match, whereas 83.6% were found by searching National Center for Biotechnology Information (NCBI) database entries. In contrast to RIDOM, which showed four ambiguities at the species level (mainly concerning Staphylococcus intermedius versus Staphylococcus delphini), the NCBI database search yielded 18 taxon-related ambiguities and showed numerous matches exhibiting redundant or unspecified entries. Comparing molecular results with those of biochemical procedures, ID 32 Staph (bioMerieux, Marcy I'Etoile, France) and VITEK 2 (bioMerieux) failed to identify 13 (23.6%) and 19 (34.5%) isolates, respectively, due to incorrect identification and/or categorization below acceptable values. In contrast to phenotypic methods and the NCBI database, the novel high-quality RIDOM sequence database provides excellent identification of staphylococci, including rarely isolated species and phenotypic variants.
作为微生物核糖体分化(RIDOM)项目的一部分,为建立一个改进的核糖体基因序列数据库,并克服表型鉴定系统和公共可用序列数据库的缺点,对包含所有有效描述的葡萄球菌(亚)种的81株模式菌株和参考菌株的16S核糖体DNA(rDNA)5'端的两条链进行了测序。假设所有独特葡萄球菌序列的成对距离呈正态分布,并选择“不同物种”的相似性报告标准为≥98.7%,计算出统计误差概率为1.0%。为评估该数据库,对55株临床葡萄球菌分离株(包括小菌落变异表型的分离株)进行了16S rDNA片段(对应于大肠杆菌位置54至510)的测序,并采用RIDOM方法进行分析。在这些分离株中,54株(98.2%)使用RIDOM的相似性得分高于提议的阈值;48株(87.3%)的序列完全匹配,而通过搜索美国国立生物技术信息中心(NCBI)数据库条目发现了83.6%。与在物种水平上显示出四个模糊性(主要涉及中间葡萄球菌与海豚葡萄球菌)的RIDOM不同,NCBI数据库搜索产生了18个与分类单元相关的模糊性,并显示出许多匹配项存在冗余或未指定的条目。将分子结果与生化程序的结果进行比较,ID 32 Staph(法国生物梅里埃公司,马西伊托伊尔)和VITEK 2(生物梅里埃公司)分别因错误鉴定和/或分类低于可接受值而未能鉴定出13株(23.6%)和19株(34.5%)分离株。与表型方法和NCBI数据库不同,新型高质量的RIDOM序列数据库能够出色地鉴定葡萄球菌,包括罕见分离的物种和表型变体。