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首页> 外文期刊>Food microbiology >Amplified Fragment Length Polymorphism and Multi-Locus Sequence Typing for high-resolution genotyping of Listeria monocytogenes from foods and the environment
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Amplified Fragment Length Polymorphism and Multi-Locus Sequence Typing for high-resolution genotyping of Listeria monocytogenes from foods and the environment

机译:食品和环境中单核细胞增生李斯特菌的高分辨率基因分型的扩增片段长度多态性和多基因座序列分型

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摘要

Standardized tools for typing Listeria monocytogenes isolates are required in epidemiological surveys investigating food-borne disease outbreaks and in the food-processing environment to identify the sources of contamination and routes by which the organisms are spread. In this survey Amplified Fragment Length Polymorphism (AFLP) and Multi-Locus Sequence Typing (MLST) have been used to study 103 L. monocytogenes isolates from food and environmental sources. A total of 62 AFLP types and 66 MLST Sequence Types were identified. AFLP and MLST produced similar results in terms of discriminating power. The Discrimination Index calculated for the two techniques was 0.976 for AFLP and 0.972 for MLST. These values were appreciably higher compared to serotyping (0.739). A good congruence was observed between AFLP and MLST. The present study demonstrated that AFLP and MLST subtyping are suitable tools for studying the epidemiology of L. monocytogenes. The great advantage of MLST over AFLP and other molecular typing methods based on fragment fingerprinting lies in the unambiguity of sequence data while AFLP is less costly and highly processive. In conclusion the two methods can be perfectly integrated for high-resolution genotyping of L. monocytogenes.
机译:在调查食源性疾病暴发的流行病学调查中以及在食品加工环境中,需要使用标准化工具对单核细胞增生李斯特菌菌株进行分类,以识别污染源和生物传播途径。在这项调查中,已使用扩增片段长度多态性(AFLP)和多基因座序列分型(MLST)研究了来自食品和环境来源的103株单核细胞增生李斯特菌。总共鉴定出62种AFLP类型和66种MLST序列类型。 AFLP和MLST在区分能力方面产生了相似的结果。对于这两种技术计算的歧视指数对于AFLP为0.976,对于MLST为0.972。与血清分型法(0.739)相比,这些值明显更高。在AFLP和MLST之间观察到良好的一致性。本研究表明AFLP和MLST亚型是研究单核细胞增生李斯特菌流行病学的合适工具。与AFLP和其他基于片段指纹的分子分型方法相比,MLST的最大优势在于序列数据的明确性,而AFLP的成本更低且处理效率更高。总之,可以将两种方法完美地整合到单核细胞增生李斯特菌的高分辨率基因分型中。

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