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简便的DNA提取方法及PCR-时间温度凝胶电泳的优化,用于鉴定乳制品中主要的高GC含量和低GC含量细菌。

Easy DNA extraction method and optimisation of PCR-Temporal Temperature Gel Electrophoresis to identify the predominant high and low GC-content bacteria from dairy products.

作者信息

Parayre Sandrine, Falentin Hélène, Madec Marie-Noëlle, Sivieri Katia, Le Dizes Anne-Sophie, Sohier Danièle, Lortal Sylvie

机构信息

Institut National de la Recherche Agronomique, UMR1253, Science et Technologie du Lait et de l'Oeuf, Agrocampus Rennes, 65 rue de Saint Brieuc, F-35042 Rennes Cedex, France.

出版信息

J Microbiol Methods. 2007 Jun;69(3):431-41. doi: 10.1016/j.mimet.2007.02.011. Epub 2007 Mar 1.

DOI:10.1016/j.mimet.2007.02.011
PMID:17397952
Abstract

Molecular fingerprinting of bacterial ecosystems has recently increased in food microbiology. The aim of this work was to develop a rapid and easy method to extract DNA from various cheeses, and to optimize the separation of low and high GC-content bacteria by PCR-Temporal Temperature Gel Electrophoresis (PCR-TTGE). Seventy six strains belonging to 50 of the most frequently encountered bacterial species in dairy products were used to construct a database. Specific PCR-TTGE ladders containing 17 species forming a regular scale were created. Amplicons of these species were sequenced and the GC-content plotted against the migration distance: the correlation coefficients obtained were r(2)=0.97 and r(2)=0.99, respectively for high and low GC-contents. The extraction method developed did not use any harmful solvent such as phenol/chloroform. The concentrations of DNA extracted from hard cooked and pressed cheeses, quantified by picogreen molecular probes, were between 0.7 and 6 microg/g for core samples and 8 to 30 microg/g for rind samples. Experimental as well as commercial dairy products were analysed using the developed method and the reproducibility of the profiles was 89%. The method appears to be particularly efficient in the characterization of the ecosystem of cheese rinds.

摘要

细菌生态系统的分子指纹分析最近在食品微生物学中得到了更多应用。这项工作的目的是开发一种快速简便的方法,从各种奶酪中提取DNA,并通过PCR-时间温度凝胶电泳(PCR-TTGE)优化低GC含量和高GC含量细菌的分离。使用属于乳制品中最常见的50种细菌物种的76株菌株构建了一个数据库。创建了包含17种形成规则刻度的特定PCR-TTGE梯状图谱。对这些物种的扩增子进行测序,并绘制GC含量与迁移距离的关系图:高GC含量和低GC含量的相关系数分别为r(2)=0.97和r(2)=0.99。所开发的提取方法不使用任何有害溶剂,如苯酚/氯仿。用皮考林荧光分子探针定量分析从硬质熟制和压制奶酪中提取的DNA浓度,核心样品为0.7至6微克/克,外皮样品为8至30微克/克。使用所开发的方法对实验性和商业性乳制品进行了分析,图谱的重现性为89%。该方法在表征奶酪外皮生态系统方面似乎特别有效。

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