Literature DB >> 23524674

Development of a DNA microarray for molecular identification of all 46 Salmonella O serogroups.

Dan Guo1, Bin Liu, Fenxia Liu, Boyang Cao, Min Chen, Xiyan Hao, Lu Feng, Lei Wang.   

Abstract

Salmonella is a major cause of food-borne disease in many countries. Serotype determination of Salmonella is important for disease assessment, infection control, and epidemiological surveillance. In this study, a microarray system that targets the O antigen-specific genes was developed for simultaneously detecting and identifying all 46 Salmonella O serogroups. Of these, 40 serogroups can be confidently identified, and the remaining 6, in three pairs (serogroups O67 and B, E1 and E4, and A and D1), need to be further distinguished from each other using PCR methods or conventional serotyping methods. The microarray was shown to be highly specific when evaluated against 293 Salmonella strains, 186 Shigella strains, representative Escherichia coli strains, and 10 strains of other bacterial species. The assay correctly identified 288 (98%) of the Salmonella strains. The detection sensitivity was determined to be 50 ng genomic DNA per sample. By testing simulated samples in a tomato background, 2 to 8 CFU per gram inoculated could be detected after enrichment. This newly developed microarray assay is the first molecular protocol that can be used for the comprehensive detection and identification of all 46 Salmonella O serogroups. Compared to the traditional serogrouping method, the microarray provides a reliable, high-throughput, and sensitive approach that can be used for rapid identification of multiple Salmonella O serogroups simultaneously.

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Year:  2013        PMID: 23524674      PMCID: PMC3648052          DOI: 10.1128/AEM.00225-13

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  38 in total

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  6 in total

1.  Development of a DNA microarray method for detection and identification of all 15 distinct O-antigen forms of Legionella pneumophila.

Authors:  Boyang Cao; Fangfang Yao; Xiangqian Liu; Lu Feng; Lei Wang
Journal:  Appl Environ Microbiol       Date:  2013-08-23       Impact factor: 4.792

Review 2.  Fluorescence-based bioassays for the detection and evaluation of food materials.

Authors:  Kentaro Nishi; Shin-Ichiro Isobe; Yun Zhu; Ryoiti Kiyama
Journal:  Sensors (Basel)       Date:  2015-10-13       Impact factor: 3.576

3.  In silico Identification of Serovar-Specific Genes for Salmonella Serotyping.

Authors:  Xiaomei Zhang; Michael Payne; Ruiting Lan
Journal:  Front Microbiol       Date:  2019-04-24       Impact factor: 5.640

4.  Establishment of a Molecular Serotyping Scheme and a Multiplexed Luminex-Based Array for Enterobacter aerogenes.

Authors:  Xi Guo; Min Wang; Lu Wang; Yao Wang; Tingting Chen; Pan Wu; Min Chen; Bin Liu; Lu Feng
Journal:  Front Microbiol       Date:  2018-03-19       Impact factor: 5.640

5.  Identifying genetic diversity of O antigens in Aeromonas hydrophila for molecular serotype detection.

Authors:  Hengchun Cao; Min Wang; Qian Wang; Tingting Xu; Yuhui Du; Huiying Li; Chengqian Qian; Zhiqiu Yin; Lu Wang; Yi Wei; Pan Wu; Xi Guo; Bin Yang; Bin Liu
Journal:  PLoS One       Date:  2018-09-05       Impact factor: 3.240

Review 6.  Electrochemical Immuno- and Aptamer-Based Assays for Bacteria: Pros and Cons over Traditional Detection Schemes.

Authors:  Rimsha Binte Jamal; Stepan Shipovskov; Elena E Ferapontova
Journal:  Sensors (Basel)       Date:  2020-09-28       Impact factor: 3.576

  6 in total

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