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Molecular detection and characterization of Babesia bovis, Babesia bigemina, Theileria species and Anaplasma marginale isolated from cattle in Kenya

Overview of attention for article published in Parasites & Vectors, September 2015
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Title
Molecular detection and characterization of Babesia bovis, Babesia bigemina, Theileria species and Anaplasma marginale isolated from cattle in Kenya
Published in
Parasites & Vectors, September 2015
DOI 10.1186/s13071-015-1106-9
Pubmed ID
Authors

Paul Franck Adjou Moumouni, Gabriel Oluga Aboge, Mohamad Alaa Terkawi, Tatsunori Masatani, Shinuo Cao, Ketsarin Kamyingkird, Charoonluk Jirapattharasate, Mo Zhou, Guanbo Wang, Mingming Liu, Aiko Iguchi, Patrick Vudriko, Adrian Patalinghug Ybanez, Hisashi Inokuma, Rika Shirafuji-Umemiya, Hiroshi Suzuki, Xuenan Xuan

Abstract

Infections with Babesia bovis, Babesia bigemina, Theileria species and Anaplasma marginale are endemic in Kenya yet there is a lack of adequate information on their genotypes. This study established the genetic diversities of the above tick-borne hemoparasites infecting cattle in Kenya. Nested PCR and sequencing were used to determine the prevalence and genetic diversity of the above parasites in 192 cattle blood samples collected from Ngong and Machakos farms. B. bovis spherical body protein 4, B. bigemina rhoptry-associated protein 1a, A. marginale major surface protein 5, Theileria spp. 18S rRNA, T. parva p104 and T. orientalis major piroplasm surface protein were used as the marker genes. B. bovis, B. bigemina, T. parva, T. velifera, T. taurotragi, T. mutans and A. marginale were prevalent in both farms, whereas T. ovis, Theileria sp. (buffalo) and T. orientalis were found only in Ngong farm. Co-infections were observed in more than 50 % of positive samples in both farms. Babesia parasites and A. marginale sequences were highly conserved while T. parva and T. orientalis were polymorphic. Cattle-derived T. parva was detected in Machakos farm. However, cattle and buffalo-derived Theileria were detected in Ngong farm suggesting interactions between cattle and wild buffaloes. Generally, the pathogens detected in Kenya were genetically related to the other African isolates but different from the isolates in other continents. The current findings reaffirm the endemicity and co-infection of cattle with tick-borne hemoparasites, and the role of wildlife in pathogens transmission and population genetics in Kenya.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Uganda 1 <1%
Unknown 185 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 19%
Researcher 27 14%
Student > Ph. D. Student 24 13%
Other 9 5%
Lecturer 8 4%
Other 38 20%
Unknown 45 24%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 55 29%
Agricultural and Biological Sciences 34 18%
Biochemistry, Genetics and Molecular Biology 20 11%
Medicine and Dentistry 8 4%
Immunology and Microbiology 7 4%
Other 12 6%
Unknown 51 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 October 2015.
All research outputs
#20,293,238
of 22,829,683 outputs
Outputs from Parasites & Vectors
#4,846
of 5,463 outputs
Outputs of similar age
#230,064
of 274,274 outputs
Outputs of similar age from Parasites & Vectors
#138
of 156 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,463 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 274,274 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 156 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.