Understanding Middle East respiratory syndrome coronavirus (MERS-CoV) transmission in dromedary camels is important, as they consitute a source of zoonotic infection to humans. To identify risk factors for MERS-CoV infection in camels bred in diverse conditions in Burkina Faso, Ethiopia and Morocco, blood samples and nasal swabs were sampled in February–March 2015. A relatively high MERS-CoV RNA rate was detected in Ethiopia (up to 15.7%; 95% confidence interval (CI): 8.2–28.0), followed by Burkina Faso (up to 12.2%; 95% CI: 7–20.4) and Morocco (up to 7.6%; 95% CI: 1.9–26.1). The RNA detection rate was higher in camels bred for milk or meat than in camels for transport (p = 0.01) as well as in younger camels (p = 0.06). High seropositivity rates (up to 100%; 95% CI: 100–100 and 99.4%; 95% CI: 95.4–99.9) were found in Morocco and Ethiopia, followed by Burkina Faso (up to 84.6%; 95% CI: 77.2–89.9). Seropositivity rates were higher in large/medium herds (≥51 camels) than small herds (p = 0.061), in camels raised for meat or milk than for transport (p = 0.01), and in nomadic or sedentary herds than in herds with a mix of these lifestyles (p < 0.005).

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In December 2017, Peste des Petits Ruminants (PPR) emerged in Burundi (East Africa) and rapidly spread to five provinces (Gitega, Kirundo, Mwaro, Muramvya and Karuzi) in the country, causing severe disease and killing more than 4,000 goats in the province of Gitega alone. An initial outbreak investigation was conducted in December 2017 by the Burundi Government Veterinary Services and samples were collected for laboratory confirmation. A competitive Enzyme Linked Immuno‐Sorbent Assay (cELISA: Chinese Patent No. ZL201210278970.9) supplied by the Lanzhou Veterinary Research Institute was used to test 112 sera and results showed around 37.5% positive samples. This high level of PPR positive sera in an animal population where PPR infection and vaccination had not been previously reported indicated the exposure of the animals to PPRV. Subsequently in January 2018, the laboratory tests conducted at the African Union‐Pan African Veterinary Vaccine Centre (AU‐PANVAC) laboratories following a joint investigative mission by the African Union‐Interafrican Bureau for Animal Resources (AU‐IBAR), AU‐PANVAC and the East African Community (EAC) confirmed the presence of PPR in Burundi. Samples tested by conventional RT‐PCR indicated the presence of the PPR virus (PPRV). Confirmatory isolation of the virus was also performed. Phylogenetic analysis revealed that the virus belongs to lineage III and shows a close relationship with PPRV isolates from Kenya in 2011 and Uganda in 2012. A possible explanation for the outbreaks of PPR in Burundi between December 2017 and February 2018 is presented.

Up to 173 African sires belonging to 11 different subpopulations representative of four cattle groups were analysed for six Y-specific microsatellite loci and a mitochondrial DNA fragment. Differences in Y-chromosome and mtDNA haplotype structuring were assessed. In addition, the effect of such structuring on contributions to total genetic diversity was assessed. Thirty-five Y-chromosome and 71 mtDNA haplotypes were identified. Most Y-chromosomes analysed (73.4%) were of zebu origin (11 haplotypes). Twenty-two Y-haplotypes (44 samples) belonged to the African taurine subfamily Y2a. All mtDNA haplotypes belonged to the "African" taurine T1 haplogroup with 16 samples and nine haplotypes belonging to a recently identified subhaplogroup (T1e). Median-joining networks showed that Y-chromosome phylogenies were highly reticulated with clear separation between zebu and taurine clusters. Mitochondrial haplotypes showed a clear star-like shape with small number of mutations separating haplotypes. Mitochondrial-based F -statistics computed between cattle groups tended to be statistically non-significant (p > .05). Most F values computed among groups and subpopulations using Y-chromosome markers were statistically significant. AMOVA confirmed that divergence between cattle groups was only significant for Y-chromosome markers (Φ = 0.209). At the mitochondrial level, African sires resembled an undifferentiated population with individuals explaining 94.3% of the total variance. Whatever the markers considered, the highest contributions to total Nei's gene diversity and allelic richness were found in West African cattle. Genetic structuring had no effect on patterns of contributions to diversity.