Integrated Whole-Genome Sequencing Infrastructure for Outbreak Detection and Source Tracing of Salmonella enterica Serotype Enteritidis
Integrated Whole-Genome Sequencing Infrastructure for Outbreak Detection and Source Tracing of Salmonella enterica Serotype Enteritidis
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DOI：
10.1089/fpd.2020.2856
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发表时间：
2021-01-15
影响因子：
2.8
通讯作者：
Hu, Qinghua
中科院分区：
文献类型：
--
作者：
Deng, Yinhua;Jiang, Min;Hu, Qinghua
作为一种重要的食源性病原体，肠沙门氏菌血清型肠炎是全球公认的人类沙门氏菌病最常见的病因之一。然而，对这种高度同质血清型的疫情检测仍然具有挑战性。测序技术的快速发展使全基因组测序（WGS）成为食源性病原体来源追踪和分子分型的重大进展。回顾性分析了2007-2017年11次流行病学证实的肠炎沙门氏菌分离株（n = 65）和同期散发性分离株（n = 258），以评估WGS在描述疫情相关分离株方面的表现。基于全基因组单核苷酸多态性（SNP）的系统发育分析揭示了与流行病学证据和两两距离一致的良好支持的支系
As an important foodborne pathogen, Salmonella enterica serotype Enteritidis is recognized as one of the most common causes of human salmonellosis globally. Outbreak detection for this highly homogenous serotype, however, has remained challenging. Rapid advances in sequencing technologies have presented whole-genome sequencing (WGS) as a significant advancement for source tracing and molecular typing of foodborne pathogens. A retrospective analysis was conducted using Salmonella Enteritidis isolates (n = 65) from 11 epidemiologically confirmed outbreaks and a collection of contemporaneous sporadic isolates (n = 258) during 2007-2017 to evaluate the performance of WGS in delineating outbreak-associated isolates. Whole-genome single-nucleotide polymorphism (SNP)-based phylogenetic analysis revealed well-supported clades in concordance with epidemiological evidence and pairwise distances of