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Development of New Multilocus Variable Number of Tandem Repeat Analysis (MLVA) for Listeria innocua and Its Application in a Food Processing Plant

机译:新型无毒李斯特菌多基因座可变数目串联重复分析(MLVA)的开发及其在食品加工厂中的应用

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摘要

Listeria innocua is an important hygiene indicator bacterium in food industries because it behaves similar to Listeria monocytogenes, which is pathogenic to humans. PFGE is often used to characterize bacterial strains and to track contamination source. However, because PFGE is an expensive, complicated, time-consuming protocol, and poses difficulty in data sharing, development of a new typing method is necessary. MLVA is a technique that identifies bacterial strains on the basis of the number of tandem repeats present in the genome varies depending on the strains. MLVA has gained attention due to its high reproducibility and ease of data sharing. In this study, we developed a MLVA protocol to assess L. innocua and evaluated it by tracking the contamination source of L. innocua in an actual food manufacturing factory by typing the bacterial strains isolated from the factory. Three VNTR regions of the L. innocua genome were chosen for use in the MLVA. The number of repeat units in each VNTR region was calculated based on the results of PCR product analysis using capillary electrophoresis (CE). The calculated number of repetitions was compared with the results of the gene sequence analysis to demonstrate the accuracy of the CE repeat number analysis. The developed technique was evaluated using 60 L. innocua strains isolated from a food factory. These 60 strains were classified into 11 patterns using MLVA. Many of the strains were classified into ST-6, revealing that this MLVA strain type can contaminate each manufacturing process in the factory. The MLVA protocol developed in this study for L. innocua allowed rapid and easy analysis through the use of CE. This technique was found to be very useful in hygiene control in factories because it allowed us to track contamination sources and provided information regarding whether the bacteria were present in the factories.
机译:无病李斯特菌是食品工业中重要的卫生指示细菌,因为它的行为类似于对人类致病的单核细胞增生李斯特菌。 PFGE通常用于表征细菌菌株并跟踪污染源。但是,由于PFGE是一种昂贵,复杂,耗时的协议,并且在数据共享方面造成困难,因此有必要开发一种新的键入方法。 MLVA是一种根据基因组中存在的串联重复序列数确定细菌菌株的技术,具体取决于菌株。 MLVA由于其高可重复性和易于共享的数据而备受关注。在这项研究中,我们开发了一种MLVA协议来评估无害李斯特菌,并通过键入从工厂中分离出的细菌菌株来跟踪实际食品制造工厂中无害李斯特菌的污染源来对其进行评估。选择了L.nonocua基因组的三个VNTR区用于MLVA。基于使用毛细管电泳(CE)的PCR产物分析的结果,计算每个VNTR区域中的重复单元的数目。将计算的重复数与基因序列分析的结果进行比较,以证明CE重复数分析的准确性。使用从食品工厂分离出的60株L.nonocua菌株对开发的技术进行了评估。使用MLVA将这60个菌株分类为11个模式。许多菌株被分类为ST-6,这表明该MLVA菌株类型会污染工厂中的每个制造过程。在这项研究中开发的针对L.nonocua的MLVA协议允许通过使用CE进行快速简便的分析。人们发现这项技术在工厂的卫生控制中非常有用,因为它使我们能够跟踪污染源并提供有关细菌是否存在于工厂中的信息。

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