Linked Life Data

7477099

Source:http://linkedlifedata.com/resource/pubmed/id/7477099

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1995-11-30
pubmed:databankReference
pubmed:abstractText
Representational difference analysis (RDA), a recently described, polymerase-chain-reaction-based modification of the subtractive hybridization process was employed to isolate female-specific sequences of Schistosoma mansoni. Using HindIII-derived amplicons, an excess of male schistosome DNA was employed to remove sequences common to both male and female adult S. mansoni genomes from female genomic DNA. Following three rounds of RDA, the enriched sequences included two female-specific repetitive elements. One of these exhibited 76% homology to the SM alpha family of retroposons and represents a W chromosome-specific variant of that family. The other sequence represents a novel, female-specific repetitive sequence. These sequences have been designated SM alpha fem-1 and W2, respectively, and both are apparently arrayed as tandem repeats on the W chromosome of S. mansoni. The isolation and characterization of the two female-specific sequences by RDA indicates that this procedure should also find utility in the definition of traits and sequences that differ among other groups of schistosomes.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0166-6851
pubmed:author
pubmed:issnType
Print
pubmed:volume
71
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
173-81
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Female-specific sequences isolated from Schistosoma mansoni by representational difference analysis.
pubmed:affiliation
Molecular Parasitology Unit, Queensland Institute of Medical Research, Royal Brisbane Hospital, Brisbane, Australia.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't