Literature DB >> 15934819

Molecular applications for identifying microbial pathogens in the post-9/11 era.

Thomas A Cebula1, Eric W Brown, Scott A Jackson, Mark K Mammel, Amit Mukherjee, J Eugene LeClerc.   

Abstract

Rapid advances in molecular and optical technologies over the past 10 years have dramatically impacted the way biologic research is conducted today. Examples include microarrays, capillary sequencing, optical mapping and real-time sequencing (Pyrosequencing). These technologies are capable of rapidly delivering massive amounts of genetic information and are becoming routine mainstays of many laboratories. Fortunately, advances in scientific computing have provided the enormous computing power necessary to analyze these enormous data sets. The application of molecular technologies should prove useful to the burgeoning field of microbial forensics. In the post-9/11 era, when securing America's food supply is a major endeavor, the need for rapid identification of microbes that accidentally or intentionally find their way into foods is apparent. The principle that distinguishes a microbial forensic investigation from a molecular epidemiology study is that a biocrime has been committed. If proper attribution is to be attained, a link must be made between a particular microbe in the food and the perpetrator who placed it there. Therefore, the techniques used must be able to discriminate individual isolates of a particular microbe. A battery of techniques in development for distinguishing individual isolates of particular foodborne pathogens is discussed.

Mesh:

Year:  2005        PMID: 15934819     DOI: 10.1586/14737159.5.3.431

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  5 in total

1.  Altered utilization of N-acetyl-D-galactosamine by Escherichia coli O157:H7 from the 2006 spinach outbreak.

Authors:  Amit Mukherjee; Mark K Mammel; J Eugene LeClerc; Thomas A Cebula
Journal:  J Bacteriol       Date:  2007-12-21       Impact factor: 3.490

2.  Phenotype MicroArray in the metabolic characterisation of Salmonella serotypes Agona, Enteritidis, Give, Hvittingfoss, Infantis, Newport and Typhimurium.

Authors:  T Kauko; K Haukka; M Abuoun; M F Anjum; M J Woodward; A Siitonen
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2010-01-22       Impact factor: 3.267

3.  High resolution clustering of Salmonella enterica serovar Montevideo strains using a next-generation sequencing approach.

Authors:  Marc W Allard; Yan Luo; Errol Strain; Cong Li; Christine E Keys; Insook Son; Robert Stones; Steven M Musser; Eric W Brown
Journal:  BMC Genomics       Date:  2012-01-19       Impact factor: 3.969

4.  Investigating the global genomic diversity of Escherichia coli using a multi-genome DNA microarray platform with novel gene prediction strategies.

Authors:  Scott A Jackson; Isha R Patel; Tammy Barnaba; Joseph E LeClerc; Thomas A Cebula
Journal:  BMC Genomics       Date:  2011-07-06       Impact factor: 3.969

5.  On the evolutionary history, population genetics and diversity among isolates of Salmonella Enteritidis PFGE pattern JEGX01.0004.

Authors:  Marc W Allard; Yan Luo; Errol Strain; James Pettengill; Ruth Timme; Charles Wang; Cong Li; Christine E Keys; Jie Zheng; Robert Stones; Mark R Wilson; Steven M Musser; Eric W Brown
Journal:  PLoS One       Date:  2013-01-30       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.