Molecular detection and characterization of Babesia rossi in dogs from Nigeria

碩士 === 國立中興大學 === 獸醫學系暨研究所 === 100 === Canine babesiosis is caused by B. gibsoni and B. canis. Babesia canis belongs to large babesia parasite, and was divided into three subspecies, B. canis canis、B. canis vogeli and B.canis rossi, which were thought to be three species now rather than subspecies....

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Bibliographic Details
Main Authors: Yu-Ing Hung, 洪瑜霙
Other Authors: 鍾楊聰
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/59313407621162742044
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Summary:碩士 === 國立中興大學 === 獸醫學系暨研究所 === 100 === Canine babesiosis is caused by B. gibsoni and B. canis. Babesia canis belongs to large babesia parasite, and was divided into three subspecies, B. canis canis、B. canis vogeli and B.canis rossi, which were thought to be three species now rather than subspecies. To date there is no adequate data for molecular characteristic of B. rossi, and the distribution of B. rossi restricts within Africa, therefore, the purpose of this study is to detect the B. rossi infection in dogs from Nigeria by using nested polymerase chain reaction (nested-PCR), and analyzes the sequences. I detected 100 dog’s blood DNA samples from Nigeria by using 18S rRNA gene to amplify a highly conserved region; 19 of the 100 blood samples from dogs show positive result of 699 base pair and all have highly similarity (99.00-99.5%) with previously reported B. rossi sequences. Subsequently we used the primer set design to amplify the sequence from18S rDNA to 28S rDNA, then aligned the internal transcribed spacers 1 and 2 (ITS1,2) and analyzed the phylogenesis with the previously reported B rossi isolates. The result is that there had 86.8 and 87.4% similarity with South Africa isolate. The phylogenesis analysis of ITS region showed the Nigeria isolates and South Africa were in the different clade, demonstrated they were new isolates. This study was the first to amplify almost total ribosomal RNA sequence, and help the determination of taxa and improve the accuracy of diagnostic methods.