Linked Life Data

11990041

Source:http://linkedlifedata.com/resource/pubmed/id/11990041

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2002-5-6
pubmed:abstractText
Conventional, phenotypic, and DNA-based subtyping methods allow differentiation of Listeria monocytogenes beyond the species and subspecies level. Bacterial subtyping methods not only improve our ability to detect and track human listeriosis outbreaks, but also provide tools to track sources of L. monocytogenes contamination throughout the food system. The use of subtyping methods also provides an opportunity to better understand the population genetics, epidemiology, and ecology of L. monocytogenes. The last 5 years have seen tremendous advancements in the development of sensitive, rapid, automated, and increasingly easy-to-use molecular subtyping methods for L. monocytogenes. This review highlights key aspects of different L. monocytogenes subtyping methods and provides examples of their application in public health, food safety, population genetics, and epidemiology. A significant focus is on the application of subtyping methods to define L. monocytogenes subtypes and clonal groups, which may differ in phenotypic characteristics and pathogenic potential.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1060-3271
pubmed:author
pubmed:issnType
Print
pubmed:volume
85
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
524-31
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:articleTitle
Molecular subtyping methods for Listeria monocytogenes.
pubmed:affiliation
Cornell University, Department of Food Science, Ithaca, NY 14853, USA. mw16@cornell.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Review, Research Support, Non-U.S. Gov't