Linked Life Data

9766235

Source:http://linkedlifedata.com/resource/pubmed/id/9766235

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1998-10-27
pubmed:abstractText
Mycobacterium tuberculosis clinical isolates (113 isolates from 78 patients) were typed using IS6110-RFLP, DR-RFLP, DR-based spoligotyping and direct repetitive element PCR (DRE-PCR). The similarities among isolates were compared for each individual method. The individual matrix distance files for each method were summed and averaged, and the resulting unique distance file was analysed by the UPGMA (unweighted pair group method with arithmetic averages). Combined numerical analysis with 3 genetic markers (IS6110-RFLP, DR-RFLP and spoligotyping) was performed for all 78 clinical isolates, whereas analysis with 4 genetic markers (with the addition of DRE-PCR) was performed on the 10 main clusters described. When compared to molecular analysis based on individual markers, the molecular description based on multiple genetic markers enabled comparison of the results obtained by individual methods and the obtaining of a more accurate view of strain identity and clusters comparison. The resulting cumulative dendrogram was more accurate for studying the population structure of M. tuberculosis and may be a good tool for elucidating intraspecies genetic microevolution.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0923-2508
pubmed:author
pubmed:issnType
Print
pubmed:volume
149
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
349-60
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1998
pubmed:articleTitle
Combined numerical analysis based on the molecular description of Mycobacterium tuberculosis by four repetitive sequence-based DNA typing systems.
pubmed:affiliation
Unité de la Tuberculose et des Mycobactéries, Institut Pasteur, Morne Jolivière, Pointe à Pitre, Guadeloupe.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't