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. 2020 Dec;147(14):1786-1791.
doi: 10.1017/S003118202000178X. Epub 2020 Sep 21.

Parasitological and molecular detection of Trypanosoma spp. in cattle, goats and sheep in Somalia

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Parasitological and molecular detection of Trypanosoma spp. in cattle, goats and sheep in Somalia

Ahmed A Hassan-Kadle et al. Parasitology. 2020 Dec.

Abstract

African animal trypanosomiasis (AAT) affects the livestock of 12.3 million Somalis and constrains their development and wellbeing. There is missing data on AAT in the country after the civil war of the 1990s. Therefore, this study has aimed to assess the prevalence of Trypanosoma spp. in 614 blood samples from cattle (n = 202), goats (n = 206) and sheep (n = 206) in Afgoye and Jowhar districts, Somalia using parasitological and molecular methods. Twenty-one out of 614 (3.4%; 95% CI: 2.1-5.2%) and 101/614 (16.4%; 95% CI: 13.6-19.6%) ruminants were positive for Trypanosoma spp. by buffy coat technique (BCT) and internal transcribed spacer 1 (ITS1)-polymerase chain reaction (PCR), respectively. Using ITS1-PCR, the highest prevalence was observed in cattle (23.8%; 95% CI: 18.4-30.1%) followed by goats (17.5%; 95% CI: 12.9-23.3%) and sheep (8.3%; 95% CI: 5.1-12.9%). A total of 74/101 (73.3%; 95% CI: 63.5-81.6%) ruminants were shown coinfection with at least two Trypanosome species. The four T. brucei-positive samples have tested negative for T. b. rhodesiense, by the human-serum-resistance-associated-PCR. Trypanosoma evansi, T. godfreyi, T. vivax, T. brucei, T. simiae and T. congolense were the Trypanosoma species found in this study. This is the first study on the molecular detection of Trypanosoma sp. in ruminants in Somalia. Further investigations and control measures are needed to manage Trypanosomiasis spreading in the country. Studies should also focus on the detection of T. b. rhodesiense in the country.

Keywords: AAT; Glossina spp; HAT; Hirshabelle; Somalia; Southwest; Trypanosomiasis.

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Figures

Fig. 1.
Fig. 1.
Map of Somalia showing the location of blood samples. Sampled regions are highlighted in green (Middle Shabelle) and blue (Lower Shabelle), and the dots indicate the approximate location of the sampled districts (Jowhar and Afgoye). The figure was generated and modified using QGIS software version 2.18.19.

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