• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Clinical Microbiology >Prospective Whole-Genome Sequencing Enhances National Surveillance of Listeria monocytogenes
【24h】

Prospective Whole-Genome Sequencing Enhances National Surveillance of Listeria monocytogenes

机译：前瞻性全基因组测序可提高单核细胞增生李斯特菌的国家监测

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Whole-genome sequencing (WGS) has emerged as a powerful tool for comparing bacterial isolates in outbreak detection and investigation. Here we demonstrate that WGS performed prospectively for national epidemiologic surveillance of Listeria monocytogenes has the capacity to be superior to our current approaches using pulsed-field gel electrophoresis (PFGE), multilocus sequence typing (MLST), multilocus variable-number tandem-repeat analysis (MLVA), binary typing, and serotyping. Initially 423 L. monocytogenes isolates underwent WGS, and comparisons uncovered a diverse genetic population structure derived from three distinct lineages. MLST, binary typing, and serotyping results inferred in silico from the WGS data were highly concordant (>99%) with laboratory typing performed in parallel. However, WGS was able to identify distinct nested clusters within groups of isolates that were otherwise indistinguishable using our current typing methods. Routine WGS was then used for prospective epidemiologic surveillance on a further 97 L. monocytogenes isolates over a 12-month period, which provided a greater level of discrimination than that of conventional typing for inferring linkage to point source outbreaks. A risk-based alert system based on WGS similarity was used to inform epidemiologists required to act on the data. Our experience shows that WGS can be adopted for prospective L. monocytogenes surveillance and investigated for other pathogens relevant to public health.
机译：全基因组测序（WGS）已成为一种在疾病暴发检测和调查中比较细菌分离物的强大工具。在这里，我们证明了对单核细胞增生李斯特菌的国家流行病学监测进行的前瞻性WGS具有优于我们当前使用脉冲场凝胶电泳（PFGE），多位点序列分型（MLST），多位点可变数串联重复分析的方法MLVA），二进制类型化和血清分型。最初，对423种单核细胞增生李斯特菌进行了WGS，比较发现了来自三个不同谱系的多样化遗传种群结构。根据WGS数据计算机推断出的MLST，二元分型和血清分型结果与并行进行的实验室分型高度一致（> 99％）。但是，WGS能够识别分离株组中不同的嵌套簇，而使用我们当前的分型方法无法区分这些簇。然后，常规WGS在12个月内用于另外97个单核细胞增生李斯特氏菌分离株的前瞻性流行病学监测，与常规类型相比，它可提供更高的区分度，以推断与点源暴发的联系。基于WGS相似性的基于风险的警报系统用于通知需要对数据采取行动的流行病学家。我们的经验表明，WGS可以用于前瞻性单核细胞增生李斯特菌监测，并可以调查与公共卫生相关的其他病原体。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号