IRTA, Food Safety Program, Finca Camps i Armet, 17121 Monells, Spain.
IRTA, Food Safety Program, Finca Camps i Armet, 17121 Monells, Spain.
Food Res Int. 2018 Apr;106:225-232. doi: 10.1016/j.foodres.2017.12.052. Epub 2017 Dec 22.
Listeria monocytogenes is widely distributed in meat products and the meat-processing industry thus posing a risk to consumers. The aim of this study was to evaluate the suitability of the multilocus variable-number tandem-repeat analysis (MLVA) for use as a L. monocytogenes subtyping technique for surveillance and routine control in meat products and meat processing plants. A collection of 113 isolates (including control strains and isolates from meat products and meat processing plants) were subject to MLVA analysis using two different platforms for fragment sizing: 1.) ABI 3730xl DNA analyzer (Life Technologies) as the reference method and 2.) The QIAxcel Advanced System (Qiagen). Although discrepancies in fragment sizing were observed it was possible to standardize results in order to assign the same allele for a given fragment independently of the platform used for fragment sizing. A total of 27 different MLVA profiles were obtained considering all the isolates (N=113), 24 of them corresponding to the meat industry isolates (N=106). MLVA and multilocus sequence typing (MLST) results were compared and yielded Simpson's diversity indices of 0.907 and 0.872, respectively. The congruence between both typing methods was measured with the adjusted Wallace coefficient (AW). Using MLVA as the primary method, AW=0.946 suggested that MLVA can predict the sequence type with high accuracy. Given its discriminatory power and high throughput, MLVA could be considered a rapid, reliable, and high-throughput alternative to existing subtyping methods for surveillance and control of L. monocytogenes in the meat-processing industry.
李斯特菌广泛分布于肉制品及肉类加工行业,因此对消费者构成威胁。本研究旨在评估多位点可变数目串联重复分析(MLVA)作为一种李斯特菌分型技术,用于监测和常规控制肉制品和肉类加工厂中的李斯特菌的适用性。使用两种不同的片段大小分析平台:1. ABI 3730xl DNA 分析仪(Life Technologies)作为参考方法和 2. QIAxcel 高级系统(Qiagen),对 113 株分离株(包括对照株和来自肉制品和肉类加工厂的分离株)进行 MLVA 分析。尽管在片段大小测量方面存在差异,但可以通过标准化结果来分配给定片段的相同等位基因,而无需考虑用于片段大小分析的平台。考虑到所有分离株(N=113),共获得 27 种不同的 MLVA 图谱,其中 24 种与肉类行业分离株(N=106)相对应。对 MLVA 和多位点序列分型(MLST)结果进行比较,得到的 Simpson 多样性指数分别为 0.907 和 0.872。两种分型方法的一致性通过调整 Wallace 系数(AW)进行测量。使用 MLVA 作为主要方法,AW=0.946 表明 MLVA 可以高精度预测序列型。鉴于其区分能力和高通量,MLVA 可被视为一种快速、可靠和高通量的替代方法,用于监测和控制肉类加工行业中的李斯特菌。