Linked Life Data

15039092

Source:http://linkedlifedata.com/resource/pubmed/id/15039092

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2004-3-24
pubmed:abstractText
Stenotrophomonas maltophilia isolates have been recovered from various clinical samples, including the respiratory tract of cystic fibrosis (CF) patients, but this organism is also widespread in nature. Previously it has been shown that there is a considerable genomic diversity within S. maltophilia. The aims of our study were to determine the taxonomic resolution of restriction fragment length polymorphism (RFLP) analysis of the polymerase chain reaction-amplified gyrB gene for the genus Stenotrophomonas. Subsequently, we wanted to use this technique to screen a set of S. maltophilia isolates (with emphasis on a specific subset, isolates recovered from CF patients), to assess the genomic diversity within this group. In this study we investigated 191 Stenotrophomonas sp. isolates (including 40 isolates recovered from CF patients) by means of gyrB RFLP. The taxonomic resolution of gyrB RFLP, and hence its potential as an identification tool, was confirmed by comparison with results from published and novel DNA-DNA hybridisation experiments. Our data also indicate that the majority of CF isolates grouped in two clusters. This may indicate that isolates from specific genomic groups have an increased potential for colonisation of the respiratory tract of CF patients.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0928-8244
pubmed:author
pubmed:issnType
Print
pubmed:day
9
pubmed:volume
40
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
181-5
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Identification of genomic groups in the genus Stenotrophomonas using gyrB RFLP analysis.
pubmed:affiliation
Laboratorium voor Microbiologie, Universiteit Gent, KL Ledeganckstraat 35, B-9000 Gent, Belgium. tom.coenye@ugent.be
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't