Determination of infestation rate of Ixodidae ticks to Theileria annulata in Urmia region by polymerase chain reaction (PCR)

Theileriosis is one of the most important protozoan parasitic diseases in Iran that causes economic losses and mortality in livestock. The disease is transmitted by Ixodid ticks and is characterized by fever, anemia, anoxia and eventually death. Diagnosis of the disease was previously based on stain...

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Autores principales: Ahmad Nematoallahi, Iraj Panahi
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Publicado: Islamic Azad University, Tabriz Branch 2021
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spelling oai:doaj.org-article:fbbab81e420144909be5c6d13949882d2021-11-09T05:50:10ZDetermination of infestation rate of Ixodidae ticks to Theileria annulata in Urmia region by polymerase chain reaction (PCR)2322-47462476-698410.30495/jvcp.2021.1917167.1287https://doaj.org/article/fbbab81e420144909be5c6d13949882d2021-04-01T00:00:00Zhttp://jvcp.iaut.ac.ir/article_681002_c88fb7832ce0937f7283073ff881e0d5.pdfhttps://doaj.org/toc/2322-4746https://doaj.org/toc/2476-6984Theileriosis is one of the most important protozoan parasitic diseases in Iran that causes economic losses and mortality in livestock. The disease is transmitted by Ixodid ticks and is characterized by fever, anemia, anoxia and eventually death. Diagnosis of the disease was previously based on staining of blood and lymph node samples by Giemsa method. The use of molecular methods is preferred over previous methods due to their high sensitivity and specificity. Due to the fact that Ixodid ticks that can carry the disease are found in many traditional Iranian farms, it is very important to identify and introduce these ticks. The aim of this study was molecular identification of Theileria annulata infection in ticks isolated from cows in Urmia region. A total of 100 ticks from herds with a history of Theileria annulata infection in the area were collected and transferred to the laboratory. Ticks were identified using diagnostic keys. Salivary glands of ticks were separated and analyzed by PCR after isolation using Theileria annulata specific primer (N516, N517). Out of 100 ticks, ten genera and species including Hyalomma anatolicum anatolicum (33%), Hy. detritum (16%), Boophylus anulatus (16%), Dermacentor marginatum (14%), Rhipicephalus bursa (9%), Hy. anantolicum excavatum (7%), D. niveus (4%) and Haemaphysalis punctate (1%) were identified. The predominant tick was identified as Hyalomma anatolicum anatolicum. PCR test showed the presence of 721 bp specific band on agarose gel in 62% of tick samples. The high rate of infection in vector mites in the area indicates their high potential for infection of cows with the agent of Theileria annulata.Ahmad NematoallahiIraj PanahiIslamic Azad University, Tabriz Brancharticlecattlepcrtheileria annulatatickurmiaVeterinary medicineSF600-1100FAĀsīb/shināsī-i Darmāngāhī-i Dāmpizishkī, Vol 15, Iss 1 (57) بهار, Pp 51-60 (2021)
institution DOAJ
collection DOAJ
language FA
topic cattle
pcr
theileria annulata
tick
urmia
Veterinary medicine
SF600-1100
spellingShingle cattle
pcr
theileria annulata
tick
urmia
Veterinary medicine
SF600-1100
Ahmad Nematoallahi
Iraj Panahi
Determination of infestation rate of Ixodidae ticks to Theileria annulata in Urmia region by polymerase chain reaction (PCR)
description Theileriosis is one of the most important protozoan parasitic diseases in Iran that causes economic losses and mortality in livestock. The disease is transmitted by Ixodid ticks and is characterized by fever, anemia, anoxia and eventually death. Diagnosis of the disease was previously based on staining of blood and lymph node samples by Giemsa method. The use of molecular methods is preferred over previous methods due to their high sensitivity and specificity. Due to the fact that Ixodid ticks that can carry the disease are found in many traditional Iranian farms, it is very important to identify and introduce these ticks. The aim of this study was molecular identification of Theileria annulata infection in ticks isolated from cows in Urmia region. A total of 100 ticks from herds with a history of Theileria annulata infection in the area were collected and transferred to the laboratory. Ticks were identified using diagnostic keys. Salivary glands of ticks were separated and analyzed by PCR after isolation using Theileria annulata specific primer (N516, N517). Out of 100 ticks, ten genera and species including Hyalomma anatolicum anatolicum (33%), Hy. detritum (16%), Boophylus anulatus (16%), Dermacentor marginatum (14%), Rhipicephalus bursa (9%), Hy. anantolicum excavatum (7%), D. niveus (4%) and Haemaphysalis punctate (1%) were identified. The predominant tick was identified as Hyalomma anatolicum anatolicum. PCR test showed the presence of 721 bp specific band on agarose gel in 62% of tick samples. The high rate of infection in vector mites in the area indicates their high potential for infection of cows with the agent of Theileria annulata.
format article
author Ahmad Nematoallahi
Iraj Panahi
author_facet Ahmad Nematoallahi
Iraj Panahi
author_sort Ahmad Nematoallahi
title Determination of infestation rate of Ixodidae ticks to Theileria annulata in Urmia region by polymerase chain reaction (PCR)
title_short Determination of infestation rate of Ixodidae ticks to Theileria annulata in Urmia region by polymerase chain reaction (PCR)
title_full Determination of infestation rate of Ixodidae ticks to Theileria annulata in Urmia region by polymerase chain reaction (PCR)
title_fullStr Determination of infestation rate of Ixodidae ticks to Theileria annulata in Urmia region by polymerase chain reaction (PCR)
title_full_unstemmed Determination of infestation rate of Ixodidae ticks to Theileria annulata in Urmia region by polymerase chain reaction (PCR)
title_sort determination of infestation rate of ixodidae ticks to theileria annulata in urmia region by polymerase chain reaction (pcr)
publisher Islamic Azad University, Tabriz Branch
publishDate 2021
url https://doaj.org/article/fbbab81e420144909be5c6d13949882d
work_keys_str_mv AT ahmadnematoallahi determinationofinfestationrateofixodidaetickstotheileriaannulatainurmiaregionbypolymerasechainreactionpcr
AT irajpanahi determinationofinfestationrateofixodidaetickstotheileriaannulatainurmiaregionbypolymerasechainreactionpcr
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