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肠型肠炎沙门氏菌爆发检测和溯源的整合全基因组测序基础设施

Integrated Whole-Genome Sequencing Infrastructure for Outbreak Detection and Source Tracing of Serotype Enteritidis.

机构信息

Key Laboratory of Bio-Resource and Eco-Environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China.

Shenzhen Center for Disease Control and Prevention, Shenzhen, China.

出版信息

Foodborne Pathog Dis. 2021 Aug;18(8):582-589. doi: 10.1089/fpd.2020.2856. Epub 2021 Jan 15.

Abstract

As an important foodborne pathogen, 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 Enteritidis isolates ( = 65) from 11 epidemiologically confirmed outbreaks and a collection of contemporaneous sporadic isolates ( = 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 ≤3 SNPs for all outbreaks. WGS-based framework of outbreak detection was thus proposed and applied prospectively to investigate isolates ( = 66) from nine outbreaks during 2018-2019. We further demonstrated the superior discriminatory power and accuracy of WGS to resolve and delineate outbreaks for pragmatic food source tracing. The proposed integrated WGS framework is the first in China for Enteritidis and has the potential to serve as a paradigm for outbreak detection and source tracing of throughout the stages of food production, as well as expanded to other foodborne pathogens.

摘要

作为一种重要的食源性致病菌,血清型肠炎沙门氏菌被认为是全球人类沙门氏菌病的最常见病因之一。然而,这种高度同型的血清型的爆发检测仍然具有挑战性。测序技术的快速发展使得全基因组测序(WGS)成为食源性致病菌溯源和分子分型的重要进展。对 2007-2017 年间 11 起流行病学确诊的暴发和同期 258 起散发分离株( = 258)中的肠炎沙门氏菌分离株( = 65)进行了回顾性分析,以评估 WGS 在划定暴发相关分离株方面的性能。全基因组单核苷酸多态性(SNP)基于系统发育分析显示,与流行病学证据一致的支持分支和所有暴发的 SNP 距离≤3 的成对距离。因此,提出了基于 WGS 的暴发检测框架,并前瞻性地应用于调查 2018-2019 年期间 9 起暴发中的 66 株分离株。我们进一步证明了 WGS 在解决和划定暴发方面的卓越区分能力和准确性,以进行实用的食源追踪。所提出的综合 WGS 框架是中国首个用于肠炎沙门氏菌的框架,有潜力作为暴发检测和食源追踪的范例,适用于食品生产的各个阶段,并扩展到其他食源性致病菌。

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