• English
    • Persian
  • English 
    • English
    • Persian
  • Login
View Item 
  •   KR-TBZMED Home
  • TBZMED Published Academics Works
  • Published Articles
  • View Item
  •   KR-TBZMED Home
  • TBZMED Published Academics Works
  • Published Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Semi-nested polymerase chain reaction-based detection of Babesia spp. in small ruminants from Northwest of Iran.

Thumbnail
Date
2018
Author
Bazmani, A
Abolhooshyar, A
Imani-Baran, A
Akbari, H
Metadata
Show full item record
Abstract
The present study aimed to detect Babesia ovis and Babesia motasi in the blood samples of sheep and goats from Northwest of Iran by the semi-nested polymerase chain reaction (PCR) technique.A total of 166 whole blood samples (including 123 sheep and 43 goats) were collected. In the first stage, the PCR was performed to amplify a piece of 18S rRNA gene of Babesia and Theileria genera. Then, semi-nested PCR was carried out on all PCR products to differentiate B. ovis and B. motasi.The PCR indicated that totally, 19 (11.44%) out of 166 samples were positive for Babesia or Theileria spp. The semi-nested PCR showed that 38 samples (22.89%) were positive only for B. ovis. No significant association was found between the infection rate of B. ovis and age, gender and species of animals.In the present study, there was no evidence for B. motasi infection in small ruminants from Northwest of Iran. Therefore, B. ovis was the main causative agent of ovine Babesiosis in this region.
URI
http://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/37924
Collections
  • Published Articles

Knowledge repository of Tabriz University of Medical Sciences using DSpace software copyright © 2018  HTMLMAP
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Browse

All of KR-TBZMEDCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Knowledge repository of Tabriz University of Medical Sciences using DSpace software copyright © 2018  HTMLMAP
Contact Us | Send Feedback
Theme by 
Atmire NV