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PMID: 11097935 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Identification of species and sources of Cryptosporidium oocysts in storm waters with a small-subunit rRNA-based diagnostic and genotyping tool.

Applied and environmental microbiology ·Vol. 66 ·No. 12 ·2000-12-00 ·Pages 5492-8

Xiao L, Alderisio K, Limor J, Royer M, Lal AA

Abstract

The identification of Cryptosporidium oocysts in environmental samples is largely made by the use of an immunofluorescent assay. In this study, we have used a small-subunit rRNA-based PCR-restriction fragment length polymorphism technique to identify species and sources of Cryptosporidium oocysts present in 29 storm water samples collected from a stream in New York. A total of 12 genotypes were found in 27 positive samples; for 4 the species and probable origins were identified by sequence analysis, whereas the rest represent new genotypes from wildlife. Thus, this technique provides an alternative method for the detection and differentiation of Cryptosporidium parasites in environmental samples.

MeSH Terms
Animals Base Sequence Cryptosporidium/classification,genetics,isolation & purification DNA Primers/genetics DNA, Protozoan/genetics DNA, Ribosomal/genetics Genetic Variation Genotype Molecular Sequence Data New York Phylogeny Polymerase Chain Reaction/methods Polymorphism, Restriction Fragment Length RNA, Protozoan/genetics RNA, Ribosomal/genetics Sequence Homology, Nucleic Acid Water/parasitology
Chemicals
DNA Primers DNA, Protozoan DNA, Ribosomal RNA, Protozoan RNA, Ribosomal Water
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Xiao L
Division of Parasitic Diseases, Centers for Disease Control and Prevention, Chamblee, Georgia 30341, USA. LAX0@CDC.GOV
Alderisio K
Limor J
Royer M
Lal A A
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Article Info
Journal
Applied and environmental microbiology
Abbr.
Appl Environ Microbiol
ISSN
0099-2240
DOI
10.1128/AEM.66.12.5492-5498.2000
Email
lax0@cdc.gov
Published
2000-12-00
Pages
5492-8
Language
English
Region
United States
NLM ID
7605801
PMCID
PMC92489
Subset
IM
Databases
GENBANK
AF262324, AF262325, AF262326, AF262327, AF262328, AF262329, AF262330, AF262331, AF262332, AF262333, AF262334, AY007254
External Links
PubMed source DOI: 10.1128/AEM.66.12.5492-5498.2000 PMC Full Text View journal details
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