Kérouanton Annaëlle, Marault Muriel, Lailler Renaud, Weill François-Xavier, Feurer Carole, Espié Emmanuelle, Brisabois Anne
Agence Française de Sécurité Sanitaire des Aliments, Laboratoire d'Etudes et de Recherches sur la Qualité des Aliments et sur les Procédés Agro-alimentaires, Unité Caractérisation et Epidémiologie Bactérienne, Maisons-Alfort, France.
Foodborne Pathog Dis. 2007 Fall;4(3):293-303. doi: 10.1089/fpd.2007.0090.
Nontyphoid Salmonella is one of the main causes of bacterial gastroenteritis worldwide and is responsible for 65% of reported outbreaks of foodborne diseases in France. Serotyping is widely used for isolate preliminary identification, but it poorly discriminates strains. Rapid, efficient molecular subtyping tools have therefore been developed for the investigation of outbreaks. We evaluated the performance of the pulsed-field gel electrophoresis (PFGE) method for discrimination of 31 Salmonella serotypes frequently isolated in France. We set up a genomic database of Salmonella strains isolated from food, animals, the environment, and humans to improve the management of contamination and reactions to foodborne disease outbreaks. We studied 1128 isolates by PFGE, according to the standardized PulseNet protocol. We identified 452 PFGE patterns, 67.5% of which corresponded to a single isolate. The ability of this method to distinguish between isolates was estimated by calculating the Simpson index and the 95% confidence interval. Values obtained ranged between 0.33 (0.11-0.54) to 0.99 (0.96-1.00), depending on serotype. Epidemiological information about isolates was used for analyses of intra- and interserotype diversity results and for determining whether PFGE patterns were linked to the source of the isolate. Clustering analysis of the PFGE patterns obtained confirmed that serotype and PFGE genotype were closely linked. Some PFGE patterns were identified as major patterns, each of these patterns being found in at least 10 isolates. The database generated has already proved its effectiveness in epidemiological investigations in livestock production and foodborne outbreaks.
非伤寒沙门氏菌是全球细菌性肠胃炎的主要病因之一,在法国报告的食源性疾病暴发中占65%。血清分型广泛用于分离株的初步鉴定,但对菌株的区分能力较差。因此,已开发出快速、高效的分子分型工具用于暴发调查。我们评估了脉冲场凝胶电泳(PFGE)方法对法国常见分离出的31种沙门氏菌血清型的区分性能。我们建立了一个从食品、动物、环境和人类中分离出的沙门氏菌菌株的基因组数据库,以改善对污染的管理以及对食源性疾病暴发的应对。我们根据标准化的PulseNet方案,通过PFGE研究了1128株分离株。我们鉴定出452种PFGE图谱,其中67.5%对应单一分离株。通过计算辛普森指数和95%置信区间来估计该方法区分分离株的能力。根据血清型不同,所得值在0.33(0.11 - 0.54)至0.99(0.96 - 1.00)之间。分离株的流行病学信息用于分析血清型内和血清型间的多样性结果,以及确定PFGE图谱是否与分离株的来源相关。对所得PFGE图谱的聚类分析证实血清型和PFGE基因型密切相关。一些PFGE图谱被确定为主要图谱,每种图谱至少在10株分离株中出现。所生成的数据库已在畜牧生产和食源性疾病暴发的流行病学调查中证明了其有效性。