Background: Brucellosis is a bacterial zoonosis of public health and economic importance worldwide. It affects a number of domestic animals, wild animals and humans. Human brucellosis originates from either livestock or wildlife. The species of Brucella circulating in wild animals in Tanzania is largely unknown due to insufficient surveillance. This study was carried out to identify Brucella species found in selected wildlife hosts in the Serengeti ecosystem. Methodology: The study used a total of 189 archived samples that were obtained from cross-sectional studies previously conducted between 2000 and 2017 in the Serengeti ecosystem in Tanzania. Whole blood, serum and amniotic fluid collected from buffalos, lions, wildebeest, impala, zebra and hyena were available for DNA extraction. Multiplex polymerase chain reaction for B. abortus, B. melitensis, B. ovis and B. suis (AMOS PCR) and quantitative real-time PCR (qPCR) targeting the bcsp31 and IS711 genes for Brucella genus detection and the IS711 targets alkB for B. abortus and BMEI1162 for B. melitensis were used to detect Brucella strains. Results: Out of the 189 samples tested, 12 (6.35 %) and 22 (11.6 %) were positive to AMOS-PCR and qPCR, respectively. Most of the positive samples were from lions (52.6 %) and buffaloes (19.6 %). Other animals that were positive included: wildebeest (13.6 %), impala (13.6 %), zebra (4.5 %) and hyena (4.5 %). Out of 22 positive samples, 16 (66.7 %) were identified as B. abortus and the other six samples did not amplify for neither B. abortus nor B. melitensis. Conclusions: The detection of Brucella DNA in archived wild animal samples shows testing potential of samples collected from this population. The zoonotic species B. abortus and B. melitensis detected in wild animals have previously been reported in livestock and humans in the region. The findings suggest that, due to the contact network, some of the identified wild animal hosts in this study could be reservoirs for infections in domestic animals and humans within the Serengeti ecosystem while others are likely dead-end hosts. One Health control strategies and continuous surveillance programs in other wildlife reserved areas should be implemented to help predicting transmission in livestock and humans in the region.

In Tanzania, rotavirus infections are responsible for 72% of diarrhea deaths in children under five. The Rotarix vaccine was introduced in early 2013 to mitigate rotavirus infections. Understanding the disease burden and virus genotype trends over time is important for assessing the impact of rotavirus vaccine in Tanzania. When assessing the data for this review, we found that deaths of children under five declined after vaccine introduction, from 8171/11,391 (72% of diarrhea deaths) in 2008 to 2552/7087 (36% of diarrhea deaths) in 2013. Prior to vaccination, the prevalence of rotavirus infections in children under five was 18.1–43.4%, 9.8–51%, and 29–41% in Dar es Salaam, Mwanza and Tanga, respectively, and after the introduction of vaccines, these percentages declined to 17.4–23.5%, 16–19%, and 10–29%, respectively. Rotaviruses in Tanzania are highly diverse, and include genotypes of animal origin in children under five. Of the genotypes, 10%, 28%, and 7% of the strains are untypable in Dar es Salaam, Tanga, and Zanzibar, respectively. Mixed rotavirus genotype infection accounts for 31%, 29%, and 12% of genotypes in Mwanza, Tanga and Zanzibar, respectively. The vaccine effectiveness ranges between 53% and 75% in Mwanza, Manyara and Zanzibar. Rotavirus vaccination has successfully reduced the rotavirus burden in Tanzania; however, further studies are needed to better understand the relationship between the wildtype strain and the vaccine strain as well as the zoonotic potential of rotavirus in the post-vaccine era.

Animals have been identified as the potential reservoirs of rotavirus group A (RVA) for human infection. However, very little is known regarding the genotype and genomic profiles of circulating RVA in Tanzanian piglets. The rotavirus genetic diversity and genome analysis was assessed among piglets from Southern highlands and Eastern Tanzania. A total of 241 faecal samples were collected from piglets in the regions of Mbeya, Iringa, and Morogoro. RVA was detected and genotyped using reverse transcription polymerase chain reaction (RT-PCR). Sanger dideoxynucleotide cycle sequencing of the viral protein (VP) 4 and VP7 genes was afterwards performed to confirm the RT-PCR results. Selected genotypes were subjected to whole genome sequencing. The overall prevalence of RVA was 35.26% (85/241) in piglets (30.58% in Mbeya, 43.75% in Iringa and 31.16% in Morogoro). Upon genotyping, the G genotypes were G4 (26), G9 (10), G3 (6), G5 (3) and the remaining 40 were untypeable, while the P genotype, were P[6] (35), P[13] (3) and the remaining 47 were untypeable. The G4P[6] were the predominant genotype followed by G3P[6], G3P[13], G4P[13] and G5P[13] were most common genotypes combinations. On phylogenetic analysis, G4 was grouped to lineage V, sublineages VIIa and VIIc, G9 to lineage I, G5 to lineage II, G3 to lineage IV, P[6] to lineage V and sublineage Ic and the P[13] to lineage IV. We revealed amino acid differences between the circulating G4 and the G4 in the ProSystems RCE vaccine used in pigs. The whole genome reveals genomic constellation of G4-P[6]-I1-R1-C1-M1-A8-N1-T1-E1-H1, G5-P[x]-I5-R1-C1-M1-A8-N1-Tx-E1-H1, G3/G4-P[13]/P[6]-Ix-R1-C1-M1-A8-N1-T1-E1-H1, G3-P[6]-Ix-R1-C1-M1-A8-N1-Tx-E1-H1 and G9-P[x]-Ix-R1-C1-M1-Ax-N1-Tx-E1-H1. The VP7 gene of G9, the VP4 gene of P[6] and NSP4 (E1) gene of some genotypes clustered together and closely related to humans origin or porcine-human reassortant strains with nucleotide similarities ranging from 97.90% to 99.74% from neighboring countries, implying possibility intragenogroup reassortment and interspecies transmission. The higher strain diversity observed within the gene segments highlight the importance of genomic analysis and continuous monitoring of RVA genotypes. Further research is needed to determine the risk factors associated with RVA infection in Tanzanian pigs in order to properly design a control program.