Literature DB >> 17567844

Genomics-based food-borne pathogen testing and diagnostics: possibilities for the U.S. Department of Agriculture's Food Safety and Inspection Service.

James Withee1, Kerry L Dearfield.   

Abstract

The use of genomic technologies at the U.S. Department of Agriculture could enhance inspection, monitoring, and risk assessment capabilities within its Food Safety and Inspection Service (FSIS). Molecular assays capable of detecting hundreds of microbial DNA sequences within a single food sample that identify food-borne pathogens of concern and characterize their traits most relevant to human health risk are of great interest for FSIS. For example, a high-density assay, or combination of assays, could screen FSIS inspected food for pathogens relevant to public health (e.g., Salmonella, Listeria, and toxic E. coli) as well as their associated virulence factors and antibiotic resistance genes. Because most genotype assays can be completed in one working day with a minimum of reagents, use of such assays could potentially save FSIS a significant amount of cost/time for analyses. Further, a genotype assay can detect specific microbial traits relevant to human health risk based on the DNA sequence of toxin producing genes, antibiotic resistance alleles, and more. By combining rapid analysis with specific data on human health risks, information from such high-density genotype assays could provide expanded support for test and hold situations, recalls, outbreak management, and microbial risk assessments (e.g., provide data needed for food-borne illness source attribution). Environ. Mol. Mutagen.

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Year:  2007        PMID: 17567844     DOI: 10.1002/em.20303

Source DB:  PubMed          Journal:  Environ Mol Mutagen        ISSN: 0893-6692            Impact factor:   3.216


  4 in total

1.  Antimicrobial resistance and typing of Salmonella isolated from street vended foods and associated environment.

Authors:  Bi Shagufta; M Sivakumar; Surender Kumar; Rajesh Kumar Agarwal; Kiran Narayan Bhilegaonkar; Ashok Kumar; Zunjar Baburao Dubal
Journal:  J Food Sci Technol       Date:  2017-05-29       Impact factor: 2.701

Review 2.  Methods and tools for comparative genomics of foodborne pathogens.

Authors:  Arvind A Bhagwat; Medha Bhagwat
Journal:  Foodborne Pathog Dis       Date:  2008-08       Impact factor: 3.171

3.  Trends in population-based studies of human genetics in infectious diseases.

Authors:  Jessica L Rowell; Nicole F Dowling; Wei Yu; Ajay Yesupriya; Lyna Zhang; Marta Gwinn
Journal:  PLoS One       Date:  2012-02-07       Impact factor: 3.240

4.  Alignment-free genome comparison enables accurate geographic sourcing of white oak DNA.

Authors:  Kujin Tang; Jie Ren; Richard Cronn; David L Erickson; Brook G Milligan; Meaghan Parker-Forney; John L Spouge; Fengzhu Sun
Journal:  BMC Genomics       Date:  2018-12-10       Impact factor: 3.969

  4 in total

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