Polymerase Chain Reaction-Based Identity Assay for Pathogenic Turkey Eimeria

Diagnosis of turkey Eimeria infection by conventional parasitologic methods is challenging and, until now, no molecular tools existed that clearly distinguished the four widely recognized pathogenic species: Eimeria adenoeides, E. meleagrimitis, E. gallopavonis, and E. dispersa. In this study, the i...

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Bibliographic Details
Published in:Avian diseases 2010-12, Vol.54 (4), p.1152-1156
Main Authors: Cook, Stephanie M, Higuchi, Deborrah S, McGowan, Alexandria L, Schrader, Joan S, Withanage, G. S. K, Francis, Michael J
Format: Article
Language:English
Subjects:
Animals
Biological taxonomies
Chickens
Coccidiosis - parasitology
Coccidiosis - veterinary
disease diagnosis
DNA
DNA, Intergenic - genetics
E. adenoeides
E. dispersa
E. gallopavonis
E. meleagrimitis
Eimeria
Eimeria - genetics
Eimeria - isolation & purification
Eimeria - pathogenicity
Gels
internal transcribed spacers
ITS-1
molecular sequence data
Nucleotide sequences
Oocysts
Parasitism
PCR
phylogenic analysis
phylogeny
Phylogeography
Polymerase chain reaction
Polymerase Chain Reaction - veterinary
poultry diseases
Poultry Diseases - parasitology
Regional identity
Regular s
turkey Eimeria
Turkeys
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Summary:Diagnosis of turkey Eimeria infection by conventional parasitologic methods is challenging and, until now, no molecular tools existed that clearly distinguished the four widely recognized pathogenic species: Eimeria adenoeides, E. meleagrimitis, E. gallopavonis, and E. dispersa. In this study, the internal transcribed spacer region one (ITS-1) was amplified and sequenced from 23 conventionally characterized reference samples. Phylogenic analysis segregated samples into five distinct cluster groups. The ITS-1 region(s) within each cluster were of a particular length and shared from 96% to 100% identity, while amplified ITS-1 region(s) between clusters differed in length and shared only 10.6% to 49.7% sequence identity. In addition, we developed PCR primer sets as diagnostic tools capable of specifically identifying members of each of the five clusters.
ISSN:0005-2086
1938-4351
DOI:10.1637/9271-020310-Reg.1