Microarray detection of food-borne pathogens using specific probes prepared by comparative genomics

Microarray detection of food-borne pathogens using specific probes prepared by comparative genomics
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DOI:
10.1016/j.bios.2008.03.019
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发表时间:
2008-10-15
影响因子:
12.6
通讯作者:
Kim, Hae-Yeong
Kim, Hae-Yeong
中科院分区:
工程技术1区
文献类型:
--
作者:
Kim, Hyun-Joong;Park, Si-Hong;Kim, Hae-Yeong

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为了设计一种准确检测和鉴定食源性病原体的方法,我们使用比较基因组学方法选择了11种主要食源性病原体特异性的70-mer寡核苷酸探针(每种病原体10个重叠探针)用于微阵列分析。我们分析了这种构建的微阵列与Cy 3标记的各种食源性病原体和其他细菌的基因组DNA的杂交模式。我们的微阵列显示出与每个食源性病原体的基因组DNA的高度特异性杂交模式;很少观察到意外的交叉杂交。使用GenePix Pro 6.0和GeneSpring GX 7.3.1程序对微阵列数据进行分析和聚类。树状图分析揭示了构建的微阵列的区分能力。各食源性致病菌根据其杂交特异性进行聚类,并将非致病性种与致病性种区分开来。该方法可应用于食品工业中食源性致病菌的快速、准确检测和鉴定。另外。本研究表明,基因组序列比较和DNA微阵列分析在流行病学和分类学研究以及食品安全和生物防御领域有着强大的应用。(C)2008 Elsevier B. V.保留所有权利。
In order to design a method for the accurate detection and identification of food-borne pathogens, we used comparative genomics to select 70-mer oligonucleotide probes specific for 11 major food-borne pathogens (10 overlapping probes per pathogen) for use in microarray analysis. We analyzed the hybridization pattern of this constructed microarray with the Cy3-labeled genomic DNA of various food-borne pathogens and other bacteria. Our microarray showed a highly specific hybridization pattern with the genomic DNA of each food-borne pathogen; little unexpected cross-hybridization was observed. Microarray data were analyzed and clustered using the GenePix Pro 6.0 and GeneSpring GX 7.3.1 programs. The analyzed dendrogram revealed the discriminating power of constructed microarray. Each food-borne pathogen clustered according to its hybridization specificity and non-pathogenic species were discriminated from pathogenic species. Our method can be applied to the rapid and accurate detection and identification of food-borne pathogens in the food industry. In addition. this study demonstrates that genome sequence comparison and DNA microarray analysis have a powerful application in epidemiologic and taxonomic studies, as well as in the food safety and biodefense fields. (C) 2008 Elsevier B.V. All rights reserved.