Differing lifestyles of Staphylococcus epidermidis as revealed through Bayesian clustering of multilocus sequence types.
Differing lifestyles of Staphylococcus epidermidis as revealed through Bayesian clustering of multilocus sequence types.
复制标题
通过多位点序列类型的贝叶斯聚类揭示表皮葡萄球菌的不同生活方式。
DOI：
10.1016/j.meegid.2013.06.020
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Robinson,DAshley
中科院分区：
文献类型：
--
作者：
Thomas,JonathanC;Zhang,Liangfen;Robinson,DAshley
表皮葡萄球菌是人体皮肤正常细菌植物群的一部分，也是与留置医疗器械相关的感染的主要原因。以前的系统发育分析的亚基因组数据已无法区分S。尽管鉴定了可能导致这种生活方式的特定表型和辅助基因，但仍然存在与医院或医院生活方式相关的表皮病菌株。为了更好地确定该物种的种群结构，国际S。用贝叶斯聚类程序STRUCTURE和BAPS对表皮病多位点序列分型数据库进行分析。共鉴定出6个遗传簇（GC）。当地居民S。根据这六种GC对临床标本的表皮病进行分类，并进一步表征抗生素敏感性、生物膜和各种遗传标记。GC 5是丰富的，并显着富集的菌株，耐四类抗生素，高生物膜生产，阳性的毒力标志物A，IS 256，和sesD/bhp，表明其潜在的临床意义。相比之下，GC 2是罕见的，包含唯一的分离株阳性的推定的细菌标志物，fdh。GC 1和GC 6是丰富的，但没有显着相关的任何检查的特征，除了forsesF/aap和GC 6。GC 3是罕见的，被认为是一个潜在的遗传库，它接受但不捐赠来自其他GC的核心遗传物质。总之，群体遗传学分析是必不可少的，以确定集群的菌株，可能会有不同的适应医院或医院的生活方式。这些结果提供了一个新的群体遗传学研究框架。表皮。
Staphylococcus epidermidisis part of the normal bacterial flora of human skin and a leading cause of infections associated with indwelling medical devices. Previous phylogenetic analyses of subgenomic data have been unable to distinguish betweenS. epidermidisstrains with nosocomial or commensal lifestyles, despite the identification of specific phenotypes and accessory genes that may contribute to such lifestyles. To attempt to better define the population structure of this species, the internationalS. epidermidismultilocus sequence typing database was analyzed with the Bayesian clustering programs STRUCTURE and BAPS. A total of six genetic clusters (GCs) were identified. A local population ofS. epidermidisfrom clinical specimens was classified according to these six GCs, and further characterized for antibiotic susceptibilities, biofilm, and various genetic markers. GC5 was abundant and significantly enriched for isolates that were resistant to four classes of antibiotics, high biofilm production, and positive for the virulence markersicaA, IS256, andsesD/bhp, indicating its potential clinical relevance. In contrast, GC2 was rare and contained the only isolates positive for the putative commensal marker,fdh. GC1 and GC6 were abundant but not significantly associated with any of the examined characteristics, except forsesF/aapand GC6. GC3 was rare and identified as a potential genetic sink that received, but did not donate, core genetic material from other GCs. In conclusion, population genetics analyses were essential for identifying clusters of strains that may differ in their adaptation to nosocomial or commensal lifestyles. These results provide a new, population genetics framework for studyingS. epidermidis.