A mutation scanning approach for the identification of hookworm species and analysis of population variation

To overcome limitations in the morphological identification of different developmental stages of hookworms to species, we have established a polymerase chain reaction-linked single strand conformation polymorphism technique (PCR–SSCP) utilizing the internal transcribed spacers (ITS) of ribosomal (r)...

Full description

Saved in:
Bibliographic Details
Published inMolecular and biochemical parasitology Vol. 92; no. 2; pp. 303 - 312
Main Authors Gasser, Robin B, Monti, Jennifer R, Bao-Zhen, Qian, Polderman, Anton M, Nansen, Peter, Chilton, Neil B
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.05.1998
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:To overcome limitations in the morphological identification of different developmental stages of hookworms to species, we have established a polymerase chain reaction-linked single strand conformation polymorphism technique (PCR–SSCP) utilizing the internal transcribed spacers (ITS) of ribosomal (r)DNA. These spacers were specifically chosen because they provide reliable species markers for strongylid nematodes. ITS spacers were amplified by PCR from DNA derived from individual parasites of seven species of hookworm, then denatured and subjected to electrophoresis in a mutation detection enhancement (MDE) (non-denaturing) gel matrix. PCR–SSCP analysis showed that the single-strand ITS patterns produced allowed the unequivocal identification of all species. The method also allowed the direct display of sequence variation within some species where multiple individual worms were examined. These findings demonstrate the usefulness of the SSCP approach for hookworm identification, the detection of population variation and the direct display of sequence variation in rDNA.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
ISSN:0166-6851
1872-9428
DOI:10.1016/S0166-6851(98)00008-5