A STUDY OF THE GENETIC DIVERSITY OF MYCOBACTERIUM-TUBERCULOSIS ISOLATED FROM PATIENTS IN THE EASTERN PROVINCE OF SOUTH-AFRICA USING RANDOM AMPLIFIED POLYMORPHIC DNA PROFILING

Citation
Sm. Richner et al., A STUDY OF THE GENETIC DIVERSITY OF MYCOBACTERIUM-TUBERCULOSIS ISOLATED FROM PATIENTS IN THE EASTERN PROVINCE OF SOUTH-AFRICA USING RANDOM AMPLIFIED POLYMORPHIC DNA PROFILING, Electrophoresis, 18(9), 1997, pp. 1570-1576
Citations number
18
Categorie Soggetti
Biochemical Research Methods
Journal title
ISSN journal
01730835
Volume
18
Issue
9
Year of publication
1997
Pages
1570 - 1576
Database
ISI
SICI code
0173-0835(1997)18:9<1570:ASOTGD>2.0.ZU;2-G
Abstract
This population genetics study was done to determine the degree of gen etic diversity amongst clinical isolates of Mycobacterium tuberculosis in one of the largest provinces of South Africa. Three hundred and fi fty-nine individual cultures were obtained from single patients over a nine-month period. Bacterial DNA was extracted and amplified with two arbitrary ten-mer primers, using the random amplified polymorphic DNA -polymerase chain reaction (RAPD-PCR) technique. RAPD markers were sep arated by agarose gel electrophoresis, visualised with ethidium bromid e, and then analysed for similarity using the GelCompar programme. The isolates were seen to fall into two major population groups. A high d egree of genetic diversity was seen, with a total of 350 unique strain s occurring amongst the 359 isolates. The majority of drug-resistant i solates grouped together in the smaller population group. The genetic data were also correlated with geographical locality. It was found tha t a slight preponderance of isolates that grouped together closely, vi s. that were either genetically identical or very similar (similarity index of approximately 97%), were from areas that were considered to b e geographically distant. Antibiotic resistance patterns were also exa mined, revealing a total of 16 different resistance profiles among the 68 drug-resistant isolates. RBPD-PCR has proved to be a cost-and time -effective technique, suitable for such a large-scale population genet ics study. It has provided useful information on the genetic diversity of an organism which is responsible for an increasing amount of morbi dity and mortality in South Africa's second-largest province.