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Digging up truth: South Africa was way different to what you thought

05 June 2018 Photo Supplied

Research fellow Dr Lloyd Rossouw from the Department of Plant Sciences at the University of the Free State (UFS) recently published an article in the Nature Ecology and Evolution journal with Dr Michaela Ecker from the University of Toronto as lead author, and Dr James Brink, research fellow at the UFS Centre for Environmental Management. The findings described in “The palaeoecological context of the Oldowan-Acheulean in southern Africa” provides the first extensive paleoenvironmental sequence for the interior of southern Africa by applying a combination of methods for environmental reconstruction at Wonderwerk Cave, which have yielded multiple evidence of early human occupation dating back almost two million years ago.

Where water once was
The Wonderwerk Cave is found north of the Kuruman hills (situated in Northern Cape) a 140m long tube with a low ceiling. The surroundings are harsh. Semi-arid conditions allow for the survival of only hardy bushes, trees, and grasses. But during the Early Pleistocene, stepping out of the Wonderwerk Cave you would have been greeted by a completely different site, the researchers found. Using carbon and oxygen stable isotope analysis on the teeth of herbivores (Dr Ecker), fossil faunal abundance (Dr Brink), as well as the analysis of microscopic plant silica remains (phytoliths) excavated from fossil soils inside the cave (Dr Rossouw), the results show that ancient environments in the central interior of southern Africa were significantly wetter and housed a plant community unlike any other in the modern African savanna.

What difference does it make?
While East African research shows increasing aridity and the spread of summer-rainfall grasslands more than a million years ago, the results from this study indicate an interesting twist. During the same period, shifts in rainfall seasonality allowed for alternating summer and winter-rainfall grass occurrences coupled with prolonged wetlands, that remained major components of Early Pleistocene (more or less the period between one and two million years ago) environments in the central interior of southern Africa. That means our human ancestors were also living and evolving in environments other than the generally accepted open, arid grassland model.

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Death may come in adorable little packages

2015-03-23

The main host of the Lassa virus is the Natal Mulimammate mouse.

Photo: Supplied

Postdoctoral researcher, Abdon Atangana, of the Institute for Groundwater Studies at the university recently published an article online about the Lassa Haemorrhagic fever in the Natural Computing Applications Forum. In addition to the terminal transmissible sickness recognised as Ebola haemorrhagic fever, there is another strain called Lassa haemorrhagic fever.

The disease is classified under the arenaviridae virus family. The first outbreaks of the disease were observed in Nigeria, Liberia, Sierra Leone, and the Central African Republic. However, it was first described in 1969 in the town of Lassa, in Borno State, Nigeria.

The main host of the Lassa virus is the Natal Mulimammate mouse, an animal indigenous to most of Sub-Saharan Africa. The contamination in humans characteristically takes place through exposure to animal excrement through the respiratory or gastrointestinal tracts.

Mouthfuls of air containing tiny particle of infective material are understood to be the most noteworthy way of exposure. It is also possible to acquire the infection through broken skin or mucous membranes that are directly exposed to the infective material.

“The aim of my research was to propose a novel mathematical equation used to describe the spread of the illness amongst pregnant women in West Africa. To achieve this, I used my newly-proposed derivative with fractional order called beta-derivative. Since none of the commonly used integral transform could be used to derive the solution of the proposed model, I proposed a new integral transform called Atangana-Transform, and used it, together with some iterative technique, to derive the solution of the model.

“My numerical simulations show that the disease is as deadly amongst pregnant women as Ebola,” Abdon said.

Abdon’s research was submitted to one of Springer’s top-tier journals with an impact factor 1.78. The paper was accepted and published February 2015.