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Otiende, M. Y.

Publications and source records attributed to Otiende, M. Y..

3 recordsLinked to original sources

Genetic diversity of the eastern black rhinoceros (Diceros bicornis michaeli) in Tanzania; implications for future conservation

In the past decade, there has been a drastic decline in the number of Eastern Black rhinoceros (black rhinoceros) (Diceros bicornis michaeli), primarily because of poaching across their natural habitats, leaving few individuals in small, isolated populations that are vulnerable to demographic extinction, disease epidemics, genetic drift and inbreeding. However, genetic consequences of the demographic decline on the remaining populations have not been investigated. Using the mitochondrial control region, this study investigated how current levels of genetic diversity relate to historical patterns, quantified genetic differentiation between extant populations and assessed the impacts of previous translocations on genetic diversity across populations. A total of 74 individual eastern black rhinoceroses were sampled from five extant populations in Tanzania and one neighbouring cross-border population in the Maasai Mara in Kenya. Six maternal haplotypes were identified, with an overall haplotype diversity of h=0.7 but low overall nucleotide diversity within populations ({pi} = 0.017) compared to historical populations from Tanzania ({pi} = 0.021). There was extensive variation in haplotype distribution between populations, with more variation exists within (65.5 %) than among the populations (35.5%), which may indicate lack of migration between populations. Specifically, some geographically close populations with different histories of introductions didnt share any haplotypes, suggesting that gene flow is currently restricted. The haplotypes were distributed among three east African haplogroups (CV, CE and EA) that have been described in previous studies, suggesting that multiple lineages have been preserved despite loss of haplotypes. One of the haplotypes was highly divergent and matched sequences previously classified as a subspecies that has not been recognised in recent years (D. b. ladoensis). We recommend that current levels of diversity be maintained by allowing natural movements of rhinoceroses between the populations, with the possibility of introducing additional variations by translocation of individuals between sites.

evolutionary biology↗

Pathogens, endosymbionts, and blood-meal sources of host-seeking ticks in the fast-changing Maasai Mara wildlife ecosystem

BackgroundThe role of questing ticks in the epidemiology of tick-borne diseases in Kenyas Maasai Mara National Reserve (MMNR), an ecosystem with intensified human-wildlife-livestock interactions, remains poorly understood. Therefore, we carried out a survey of the diversity of questing ticks, their blood-meal hosts, and tick-borne pathogens to understand potential effects to human and livestock health. MethodsQuesting ticks were collected by flagging and hand picks from vegetation in 25 localities and identified based on morphologic and molecular criteria. We used PCR with high-resolution melting (HRM) analysis, and sequencing to identify Anaplasma, Babesia, Coxiella, Ehrlichia, Rickettsia, and Theileria pathogen diversities and blood meals in 231 tick pools. ResultsA total of 1,465 host-seeking ticks were collected, including Rhipicephalus appendiculatus (n = 1,125), Rhipicephalus pulchellus (n = 6), Rhipicephalus evertsi (n = 5), Amblyomma cf. gemma (n = 178), Amblyomma gemma (n = 145), Amblyomma variegatum (n = 4), Amblyomma sp. (n = 1), and Haemaphysalis leachi (n = 1). Remnant blood-meals from humans, wildebeest, and African buffalo were detected in Rh. appendiculatus, goat in Rh. evertsi, sheep in Am. gemma, and cattle in Am. variegatum. Rickettsia africae was detected in Am. gemma (1/25 pools) that had blood-meal remnant from sheep and Am. variegatum (4/25 pools) that had fed on cattle. Rickettsia spp. were found in Am. gemma (4/25 pools) and Rh. evertsi (1/4 pools). Anaplasma ovis was detected in Rh. appendiculatus (1/172 pools) and Rh. evertsi (1/4 pools), while Anaplasma bovis was detected in Rh. appendiculatus (1/172 pools). Theileria parva was detected in Rh. appendiculatus (27/172 pools). Babesia, Ehrlichia and Coxiella pathogens were not found in any ticks. Unexpectedly, diverse Coxiella sp. endosymbionts were detected in all tick genera (174/231 pools). ConclusionsThe data shows that ticks from the rapidly-changing MMNR are infected with zoonotic R.africae and unclassified Rickettsia spp, demonstrating the persistent risk of African tick-bite fever and other and Spotted Fever Group rickettsioses to local dwellers and visitors to the Maasai Mara ecosystem. Protozoan pathogens that may pose risk to livestock production were also identified. We also highlight possible existence of morphotypic variants of Amblyomma species, based on the observation of Ambyomma cf. gemma, which may be potential human parasites or emergent disease vectors. Our findings also demonstrate that questing ticks in this ecosystem have dynamic vertebrate blood sources including humans, wildlife and domestic animals, which may amplify transmission of tickborne zoonoses and livestock diseases. Further studies are needed to determine the role of Coxiella endosymbionts in tick physiology and vector competence.

molecular biology↗

Three-gene PCR and high-resolution melting analysis for differentiating vertebrate species mitochondrial DNA for forensic and biodiversity research pipelines

Reliable molecular identification of vertebrate species from morphologically unidentifiable tissue is critical for the prosecution of illegally-traded wildlife products, conservation-based biodiversity research, and identification of blood-meal hosts of hematophagous invertebrates. However, forensic identification of vertebrate tissue relies on the sequencing of mitochondrial cytochrome oxidase I (COI) barcode genes, which remains costly for purposes of screening large numbers of unknown samples during routine surveillance. Here, we adopted a rapid, low-cost approach to differentiate 10 domestic and 24 wildlife species that are common in the East African illegal wildlife products trade based on their unique high-resolution melting profiles from COI, cytochrome b, and 16S ribosomal RNA gene PCR products. Using the approach, we identified (i) giraffe among covertly sampled meat from Kenyan butcheries, and (ii) forest elephant mitochondrial sequences among savannah elephant reference samples. This approach is being adopted for high-throughput pre-screening of potential bushmeat samples in East African forensic science pipelines.

molecular biology↗