Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
19 July 2018 Photo Supplied
AEVGI advances Next-Generation Sequencing in Africa
Prof George Armah, Noguchi Memorial Institute for Medical Research, Ghana; Prof Carl Kirkwood, Bill and Melinda Gates Foundation, USA; Cornelius Hagenmeier, Director: Internationalisation, UFS; Prof Gert van Zyl, Dean: Health Sciences; Dr Martin Nyaga, Senior Lecturer in the NGS Unit; Prof Joyce Tsoka-Gwegweni, Vice-Dean: Health Sciences; Dr Glen Taylor, Senior Director: Research and Development; Prof Jeffrey Mphahlele, Vice-President, South African Medical Research Council.

The inaugural edition of the University of the Free State (UFS) Next-Generation Sequencing (NGS) Data and Bioinformatics Workshop, hosted by the UFS-NGS Unit in the UFS Faculty of Health Sciences, marked a new beginning for the advancement of NGS in Africa under the auspices of the African Enteric Viruses Genome Initiative (AEVGI), which was recently funded by the Bill and Melinda Gates Foundation.

The AEVGI will generate rotavirus genomes at the UFS-NGS Unit to investigate the long-term effects of the introduction of the monovalent RV1 vaccine in three African countries – Ghana, Malawi, and South Africa.

The workshop attracted over 90 participants from 15 national and international institutions, with organisations from seven different countries as well as company representatives attending the event. The workshop kicked off with a courtesy call to the Rector and Vice-Chancellor, Prof Francis Petersen, followed by a stakeholder meeting with the executive management of the UFS.

The funding was secured through an award to the principal investigator, Dr Martin Nyaga, and sub-awards to co-investigators, Dr Khuzwayo Jere, Dr Francis Dennis, and Dr Valentine Ndze. According to attendee evaluations of the workshop, the remarkable performance of the workshop instructors was outstanding. Through practical sessions, participants were equipped with knowledge on how to apply several tools of genetic data analysis, using the rotavirus genome as a model to construct and interpret different genomic datasets.

A total of 65 students attended the hands-on workshop, the majority of which were from South African higher-education institutions. The organisers are grateful to the sponsors, particularly to the Bill and Melinda Gates Foundation and the University of the Free State, for making the workshop a success. Whitehead Scientific and the South African Medical Research Council also played a major role in the success of the workshop. The local organising committee consisted of Dr Martin Nyaga (host, convener and chair), Dr Saheed Sabiu (secretary), and Mr Stephanus Riekert (principal ICT support).

News Archive

Water erosion research help determine future of dams
2017-03-07

Description: Dr Jay le Roux Tags: Dr Jay le Roux

Dr Jay le Roux, one of 31 new NRF-rated
researchers at the University of the Free State,
aims for a higher rating from the NRF.
Photo: Rulanzen Martin

“This rating will motivate me to do more research, to improve outcomes, and to aim for a higher C-rating.” This was the response of Dr Jay le Roux, who was recently graded as an Y2-rated researcher by the National Research Foundation (NRF).

Dr Le Roux, senior lecturer in the Department of Geography at the University of the Free State (UFS), is one of 31 new NRF-rated researchers at the UFS. “This grading will make it possible to focus on more specific research during field research and to come in contact with other experts. Researchers are graded on their potential or contribution in their respective fields,” he said.

Research assess different techniques
His research on water erosion risk in South Africa (SA) is a methodological framework with three hierarchal levels presented. It was done in collaboration with the University of Pretoria (UP), Water Research Commission, Department of Agriculture, Forestry and Fisheries, and recently Rhodes University and the Department of Environmental Affairs. Dr Le Roux was registered for 5 years at UP, while working full-time for the Agricultural Research Council – Institute for Soil, Climate and Water (ARC-ISCW).

Water erosion risk assessment in South Africa: towards a methodological framework
, illustrates the most feasible erosion assessment techniques and input datasets that can be used to map water erosion features in SA. It also emphasises the simplicity required for application at a regional scale, with proper incorporation of the most important erosion-causal factors.

The main feature that distinguishes this approach from previous studies is the fact that this study interprets erosion features as individual sediment sources. Modelling the sediment yield contribution from gully erosion (also known as dongas) with emphasis on connectivity and sediment transport, can be considered as an important step towards the assessment of sediment produce at regional scale. 
 
Dams a pivotal element in river networks

Soil is an important, but limited natural resource in SA. Soil erosion not only involves loss of fertile topsoil and reduction of soil productivity, but is also coupled with serious off-site impacts related to increased mobilisation of sediment and delivery to rivers.

The siltation of dams is a big problem in SA, especially dams that are located in eroded catchment areas. Dr Le Roux recently developed a model to assess sediment yield contribution from gully erosion at a large catchment scale. “The Mzimvubu River Catchment is the only large river network in SA on record without a dam.” The flow and sediment yield in the catchment made it possible to estimate dam life expectancies on between 43 and 55 years for future dams in the area.
 
Future model to assess soil erosion
“I plan to finalise a soil erosion model that will determine the sediment yield of gully erosion on a bigger scale.” It will be useful to determine the lifespan of dams where gully erosion is a big problem. Two of his PhD students are currently working on project proposals to assess soil erosion with the help of remote sensing techniques.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept