Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
09 October 2019 | Story Leonie Bolleurs | Photo Leonie Bolleurs
SA animal population genetically more diverse than Europe
The Department of Genetics appointed the curator of the mammal collection in Austria’s Natural History Museum, Prof Frank Zachos. From the left are: Lerato Diseko, PhD Human Molecular Genetics; Prof Paul Grobler; Sivuyile Peni, MSc Molecular Genetics; Prof Frank Zachos; and Gerhard van Bosch, MSc Conservation Genetics.


South Africa is one of the greatest places on this planet to study mammals. These are the words of Prof Frank Zachos, newly appointed affiliated Professor in the Department of Genetics at the University of the Free State (UFS). 

He is also the curator of the Mammal Collection at the Natural History Museum in Vienna, Austria, the editor of the Elsevier journal Mammalian Biology, and author of several books, including Species Concepts in Biology. 

During a visit to South Africa, Prof Zachos addressed a group of UFS staff and students on the topic, ‘Conservation biology and genetics on two continents – case studies from mammalogy and ornithology’.

Inbreeding and deformities 

According to Prof Paul Grobler, Head of the UFS Department of Genetics, Prof Zachos has much experience in conservation biology studies. A large part of his work is on the population/conservation genetics of mammals (particularly deer) and, to a lesser degree, birds. Among others, he has studied red deer and the alpine golden eagle and has previously collaborated with Prof Grobler on projects involving local impala and gemsbok populations. 

Prof Grobler explains: “Typical conservation genetics studies helps one understand whether it's genetically going well with a species or population or not. This information can then be used to decide whether to move new animals to a population to prevent loss of genetic diversity.”

In his lecture, Prof Zachos explained the genetic diversity of red deer across Europe, and how this was influenced by past events (glaciers), but also by current anthropogenic factors (motor highways). 

He said there are several similarities between the mammals and birds of Europe and South Africa. The area south of the Sahara, however, is more of a biodiversity hotspot, unlike most areas in Europe where there is often lower genetic diversity in certain species. European deer species, for instance, are inherently less genetically diverse than antelope.

“Small population sizes can result in inbreeding. In some animals, this can result in deformities such as a shorter lower jaw or calves born without eyes,” said Prof Zachos.

Tracing geographic origin

With information on the gene diversity of a population of animals, authorities can implement preventative measures to address inbreeding, e.g. building green bridges to connect populations.

Population/conservation genetics studies are also helpful to determine which animals from a certain population are native to a specific area. Prof Zachos was involved in a study for the Belgian government, tracing the geographic and genetic origin of the country’s red deer. 

He said the ideal is to have genetic information for every population for management applications. 

During his visit, Prof Zachos also visited the Doornkloof Nature Reserve, since he is co-supervising a PhD student in the UFS Department of Genetics, who is based at Doornkloof. 

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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