Literature DB >> 19528580

Pathogen detection in milk samples by ligation detection reaction-mediated universal array method.

P Cremonesi1, G Pisoni, M Severgnini, C Consolandi, P Moroni, M Raschetti, B Castiglioni.   

Abstract

This paper describes a new DNA chip, based on the use of a ligation detection reaction coupled to a universal array, developed to detect and analyze, directly from milk samples, microbial pathogens known to cause bovine, ovine, and caprine mastitis or to be responsible for foodborne intoxication or infection, or both. Probes were designed for the identification of 15 different bacterial groups: Staphylococcus aureus, Streptococcus agalactiae, nonaureus staphylococci, Streptococcus bovis, Streptococcus equi, Streptococcus canis, Streptococcus dysgalactiae, Streptococcus parauberis, Streptococcus uberis, Streptococcus pyogenes, Mycoplasma spp., Salmonella spp., Bacillus spp., Campylobacter spp., and Escherichia coli and related species. These groups were identified based on the 16S rRNA gene. For microarray validation, 22 strains from the American Type Culture Collection or other culture collections and 50 milk samples were tested. The results demonstrated high specificity, with sensitivity as low as 6 fmol. Moreover, the ligation detection reaction-universal array assay allowed for the identification of Mycoplasma spp. in a few hours, avoiding the long incubation times of traditional microbiological identification methods. The universal array described here is a versatile tool able to identify milk pathogens efficiently and rapidly.

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Year:  2009        PMID: 19528580     DOI: 10.3168/jds.2008-1773

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  6 in total

1.  An FDA bioinformatics tool for microbial genomics research on molecular characterization of bacterial foodborne pathogens using microarrays.

Authors:  Hong Fang; Joshua Xu; Don Ding; Scott A Jackson; Isha R Patel; Jonathan G Frye; Wen Zou; Rajesh Nayak; Steven Foley; James Chen; Zhenqiang Su; Yanbin Ye; Steve Turner; Steve Harris; Guangxu Zhou; Carl Cerniglia; Weida Tong
Journal:  BMC Bioinformatics       Date:  2010-10-07       Impact factor: 3.169

Review 2.  Microbial Diagnostic Microarrays for the Detection and Typing of Food- and Water-Borne (Bacterial) Pathogens.

Authors:  Tanja Kostić; Angela Sessitsch
Journal:  Microarrays (Basel)       Date:  2011-10-14

3.  Multiplex 16S rRNA-derived geno-biochip for detection of 16 bacterial pathogens from contaminated foods.

Authors:  Hwa Hui Shin; Byeong Hee Hwang; Hyung Joon Cha
Journal:  Biotechnol J       Date:  2016-09-06       Impact factor: 4.677

4.  A novel fluorescent biosensor based on dendritic DNA nanostructure in combination with ligase reaction for ultrasensitive detection of DNA methylation.

Authors:  Shu Zhang; Jian Huang; Jingrun Lu; Min Liu; Yan Li; Lichao Fang; Hui Huang; Jianjun Huang; Fei Mo; Junsong Zheng
Journal:  J Nanobiotechnology       Date:  2019-12-07       Impact factor: 10.435

5.  ORMA: a tool for identification of species-specific variations in 16S rRNA gene and oligonucleotides design.

Authors:  Marco Severgnini; Paola Cremonesi; Clarissa Consolandi; Giada Caredda; Gianluca De Bellis; Bianca Castiglioni
Journal:  Nucleic Acids Res       Date:  2009-06-16       Impact factor: 16.971

6.  Detection of food spoilage and pathogenic bacteria based on ligation detection reaction coupled to flow-through hybridization on membranes.

Authors:  K Böhme; P Cremonesi; M Severgnini; Tomás G Villa; I C Fernández-No; J Barros-Velázquez; B Castiglioni; P Calo-Mata
Journal:  Biomed Res Int       Date:  2014-04-10       Impact factor: 3.411

  6 in total

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