Tissue culture protocols for the obligate parasitic plant Striga hermonthica and implications for host-parasite co-cultivation

Plant Cell, Tissue and Organ Culture (PCTOC) - Striga is a genus of parasitic plants that poses great danger to livelihoods of millions of smallholder farmers in sub-Saharan Africa by limiting...     

Serological evidence of single and mixed infections of Rift Valley fever virus,Brucella spp. and Coxiella burnetii in dromedary camels in Kenya

Camels are increasingly becoming the livestock of choice for pastoralists reeling from effects of climate change in semi-arid and arid parts of Kenya. As the population of camels rises, better understanding of their role in the epidemiology of zoonotic diseases in Kenya is a public health priority. Rift Valley fever (RVF), brucellosis and Q fever are three of the top priority diseases in the country but the involvement of camels in the transmission dynamics of these diseases is poorly understood. We analyzed 120 camel serum samples from northern Kenya to establish seropositivity rates of the three pathogens and to characterize the infecting Brucella species using molecular assays. We found seropositivity of 24.2% (95% confidence interval [CI]: 16.5–31.8%) for Brucella, 20.8% (95% CI: 13.6–28.1%) and 14.2% (95% CI: 7.9–20.4%) for Coxiella burnetii and Rift valley fever virus respectively. We found 27.5% (95% CI: 19.5–35.5%) of the animals were seropositive for at least one pathogen and 13.3% (95% CI: 7.2–19.4%) were seropositive for at least two pathogens. B. melitensis was the only Brucella spp. detected. The high sero-positivity rates are indicative of the endemicity of these pathogens among camel populations and the possible role the species has in the epidemiology of zoonotic diseases. Considering the strong association between human infection and contact with livestock for most zoonotic infections in Kenya, there is immediate need to conduct further research to determine the role of camels in transmission of these zoonoses to other livestock species and humans. This information will be useful for designing more effective surveillance systems and intervention measures.     

Serological Investigation of Corynebacterium Pseudotuberculosis Infection in Sheep–Correlation between the Hemolysis Inhibition Test and the ELISA Test

Corynebacterium pseudotuberculosis causes caseous lymphadenitis in sheep and goats. The animals may be infected without showing clinical symptoms. Several serotests have therefore been employed to detect infected animals. Shen et al (1982) performed an enzyme linked immunosorbent assay (ELISA) to detect antibodies against the organism using cell wall antigens. Maki et al (1985) found that the toxin of the bacterium was a better antigen for assessing infection in the ELISA test. They reported that the antitoxin ELISA appeared to be as sensitive as the antihemolysin inhibition test (Zaki 1968).     

A Seroepidemiological Investigation of Corynebacterium Pseudotuberculosis Infection in Sheep Flocks in Southern Norway

Corynebacterium pseudotuberculosis causes caseous lymphadenitis, a disease primarily affecting sheep and goats which occurs as a chronic infection characterized by suppurative lymphadenitis (Lovell 1959, Marsh 1965, Jubb & Kennedy 1970, Ayers 1977, Addo & Eid 1978). The disease has an insidious nature and a high prevalence, resulting in large economic losses due to condemnation of carcasses and organs at slaughter (Turner 1973).     

Aspects of the biodiversity of the rivers in the Lake Naivasha catchment

Deep-water Oculina coral reefs, which are similar in structure and development to deep-water Lophelia reefs, stretch over 167 km (90 nmi) at depths of 70–100 m along the eastern Florida shelf of the United States. These consist of numerous pinnacles and ridges, 3–35 m in height. Coral growth rates average 16.1 mm yr^–1 and biodiversity is very rich. Extensive areas of Oculina rubble may be due to human impacts (e.g. fish trawling and dredging, anchoring, bottom longlines) and natural processes such as bioerosion and episodic die-off. Early in the 1970s, the reefs were teeming with fish. By the early 1990s, both commercial and recreational fisheries, including scallop, shrimp, grouper, snapper and amberjack, had taken a toll on the reefs and especially on populations of grouper and snapper. A 315 km² (92 nmi²) area was designated the Oculina Habitat of Particular Concern (HAPC) in 1984, prohibiting trawling, dredging, bottom longlines and anchoring, and legislation was enacted in 2000 for expansion of the Oculina HAPC to 1029 km² (300 nmi²). The United States Coast Guard has been charged with surveillance and enforcement of the ban on bottom fishing and trawling. The primary difficulties in protecting these reefs and other deep-water Marine Protected Areas are their remoteness and time required to engage an enforcement vessel. Education regarding the nature and importance of these rich resources is important for better self regulation and surveillance by the fishing community. Only by bringing deep-water reefs to the public, the fishing community, and enforcement agencies, through video, photos, and education will there be better understanding and acceptance for the need of protection for these unseen resources. This paper reviews the current knowledge on the deep-water Oculina reefs, including the biology, geology, human impacts, and history of conservation and management.     

Genetic diversity and relationships of indigenous Kenyan camel (Camelus dromedarius) populations: implications for their classification

The genetic diversity and relationships amongst the dromedary (Camelus dromedarius) populations are poorly documented. Four recognized Kenyan dromedary breeds (Somali, Turkana, Rendille, Gabbra) and dromedary from Pakistan and the Arabian Peninsula (Saudi Arabia, United Arab Emirates) were studied using 14 microsatellite loci. Phylogenetic analysis showed that Kenyan dromedaries are distinct from Arabian and Pakistani populations. Expected heterozygosity and allelic diversity values indicate that Kenyan dromedaries are less diverse than non-Kenyan populations. With the exception of the Somali population, the Kenyan dromedaries are poorly differentiated (average FST=0.009), with only one to two loci separating the Gabbra, Rendille and Turkana populations studied (P < 0.05). Individual assignments were performed using the maximum likelihood method. A correct breed assignment of only 39-48% was observed for the Kenyan dromedaries, using an allocation stringency of a log of the odds ratio >2. Our results do not support the present classification of the indigenous Kenyan dromedary into four distinct breeds based on socio-geographical criteria. Instead, our results point to just two separate genetic entities, the Somali and a group including the Gabbra, Rendille and Turkana populations.