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Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne microorganisms

机译:全基因组测序和宏基因组学,用于暴发调查,食源微生物的来源归因和风险评估

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This Opinion considers the application of whole genome sequencing (WGS) and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne pathogens. WGS offers the highest level of bacterial strain discrimination for food‐borne outbreak investigation and source‐attribution as well as potential for more precise hazard identification, thereby facilitating more targeted risk assessment and risk management. WGS improves linking of sporadic cases associated with different food products and geographical regions to a point source outbreak and can facilitate epidemiological investigations, allowing also the use of previously sequenced genomes. Source attribution may be favoured by improved identification of transmission pathways, through the integration of spatial‐temporal factors and the detection of multidirectional transmission and pathogen–host interactions. Metagenomics has potential, especially in relation to the detection and characterisation of non‐culturable, difficult‐to‐culture or slow‐growing microorganisms, for tracking of hazard‐related genetic determinants and the dynamic evaluation of the composition and functionality of complex microbial communities. A SWOT analysis is provided on the use of WGS and metagenomics for Salmonella and Shigatoxin‐producing Escherichia coli (STEC) serotyping and the identification of antimicrobial resistance determinants in bacteria. Close agreement between phenotypic and WGS‐based genotyping data has been observed. WGS provides additional information on the nature and localisation of antimicrobial resistance determinants and on their dissemination potential by horizontal gene transfer, as well as on genes relating to virulence and biological fitness. Interoperable data will play a major role in the future use of WGS and metagenomic data. Capacity building based on harmonised, quality controlled operational systems within European laboratories and worldwide is essential for the investigation of cross‐border outbreaks and for the development of international standardised risk assessments of food‐borne microorganisms.
机译:本意见考虑了全基因组测序(WGS)和宏基因组学在食源性病原体暴发调查,来源归因和风险评估中的应用。 WGS为食源性疾病暴发调查和来源归因提供了最高水平的细菌菌株鉴别,并具有更精确地识别危害的潜力,从而促进了更有针对性的风险评估和风险管理。 WGS改善了与不同食品和地理区域相关的零星病例与点源暴发的联系,并可以促进流行病学调查,还允许使用先前测序的基因组。通过整合时空因素和检测多向传播以及病原体与宿主之间的相互作用,可以更好地识别传播途径,从而有利于源头归因。元基因组学具有潜力,特别是在不可培养,难以培养或生长缓慢的微生物的检测和表征方面,具有追踪与危害相关的遗传决定因素以及动态评估复杂微生物群落组成和功能的潜力。对使用WGS和宏基因组学对沙门氏菌和产志贺毒素的大肠埃希菌(STEC)血清分型的使用以及细菌中抗菌素耐药性决定因素的鉴定提供了SWOT分析。在表型和基于WGS的基因分型数据之间已经观察到紧密的一致性。 WGS提供了有关抗菌素耐药性决定簇的性质和位置以及它们通过水平基因转移的传播潜力以及与毒力和生物适应性有关的基因的其他信息。可互操作的数据将在WGS和宏基因组数据的未来使用中发挥重要作用。在欧洲实验室和全球范围内,基于协调一致的,质量控制的运营系统进行能力建设,对于调查跨境暴发以及开发食源微生物国际标准化风险评估至关重要。

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