Theileria is a genus of tick-borne protozoan that is globally widespread and infects nearly all ungulates in which they cause either latent infection or lethal disease. Wild animals are considered reservoir hosts of many species of Theileria and their diversity in wildlife species is increasingly becoming of interest. The molecular characterization and identification of Theileria infecting wildlife has been studied in a few species including buffalo, which are considered reservoir host for Theileria parva infecting cattle. In this study, we sequenced Theileria species infecting wildebeest (Connochaetes taurinus) and used molecular-genetic and phylogenetic analysis of the 18 Small Subunit of the Ribosomal RNA (18S rRNA) to identify their relationships with known species of Theileria. Our results revealed three new Theileria haplotypes infecting wildebeest. Phylogenetic analysis revealed that haplotype 1 and 2 clustered in the same clade as Theileria separata and with Theileria sp. isolated from other small to medium sized antelopes. Haplotype 3 clustered close to the Theileria ovis clade. This is the first molecular description and characterization of Theileria species infecting blue wildebeest in East Africa. This study demonstrates the potential for Theileria transmission between wildebeest and small domestic ungulates, such as sheep and goats.
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Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
United Nations Environm Programme Int Ecosyst Man, Beijing, Peoples R ChinaChinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Mojo, Dagne
Oduor, Ayub M. O.
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United Nations Environm Programme Int Ecosyst Man, Beijing, Peoples R China
Tech Univ Kenya, Dept Appl Biol, Nairobi, KenyaChinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Oduor, Ayub M. O.
Fu, Chao
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Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
United Nations Environm Programme Int Ecosyst Man, Beijing, Peoples R ChinaChinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Fu, Chao
Bai, Yunli
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Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
United Nations Environm Programme Int Ecosyst Man, Beijing, Peoples R ChinaChinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Bai, Yunli
Long, Huaping
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Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
United Nations Environm Programme Int Ecosyst Man, Beijing, Peoples R China
Univ Chinese Acad Sci, Beijing, Peoples R ChinaChinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Long, Huaping
Wang, Guoqin
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Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
United Nations Environm Programme Int Ecosyst Man, Beijing, Peoples R ChinaChinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Wang, Guoqin
Zhang, Linxiu
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United Nations Environm Programme Int Ecosyst Man, Beijing, Peoples R China
Univ Chinese Acad Sci, Beijing, Peoples R ChinaChinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China