Focused procedures which streamline and optimise plant prioritisation and selection in
bioprospecting have the potential to save both time and resources. A variety of semiquantitative
techniques were assessed for their ability to prioritise ethnomedicinal taxa in
the Flora of Southern Africa (FSA) region. These techniques were subsequently
expanded upon for application in plant selection for the Novel Drug Development
Platform bioprospecting programme.
Least squares regression analyses were used to test the hypothesis that ethnomedicinal
plant use in southern Africa is strictly random, i.e. no order or family contains
significantly more medicinal plants, than any other order or family. This hypothesis was
falsified revealing several 'hot' plant orders. The distribution of southern African
ethnomedicinal taxa was investigated, and revealed low ethnomedicinal plant usage in
the Western Cape and Northern Cape. The historical settlement of Bantu tribes in the
eastern regions of southern Africa was one explanation for this discrepancy. Growth
forms of ethnomedicinal taxa in 'hot' orders (identified in the regression analysis) were
analysed. The results indicated no clear preferences across orders, but rather a
preference for particular growth forms in certain orders. With respect to distribution,
endemism and Red Data List status of ethnomedicinal taxa, the Western Cape had the
greatest proportion of endemics and Namibia had the highest proportion of Red Data
Listed ethnomedicinal taxa. With respect to chemotaxonomy, the Asteraceae contained
the highest proportion of terpenoids, the Rubiaceae the highest proportion of alkaloids
and the Fabaceae the highest proportion of flavonoids.
The predictive value of regression analyses was tested against an existing analysis of
anti-malarials and the subsequent in vitro bioassays on Plasmodium falciparum. In
particular, the ability of these analyses to identify plants with anti plasmodial IC50 values
of [less than or equal to] 10 [micro]g/ml was assessed. Most species in 'hot' genera showed comparatively good
antiplasmodial activities (IC50 [less than or equal to] 10 [micro]g/ml).
Plant candidates were prioritised for screening anti-tuberculosis, anti-diabetes and
immune-modulatory compounds, using a weighting system based on;
their ethnomedicinal application, chemotaxonomic potential, frequency in ethnomedicinal
trade, association with the relative disease, toxicity, Red Data status, indigenous or
endemic status, and family selection in ethnomedicine (identified through regression
analyses). Other taxa were short-listed due to their presence in biodiversity hotspots
where few ethnomedicinal plant use records are documented, and still others were
incorporated due to their taxonomic association with efficacious exotic allies. Statistical
analyses of the weighting processes employed were not possible in the absence of
screening results which are due only in December 2006.
The legislation governing bioprospecting in South Africa is discussed and several
recommendations are presented to minimise negative impacts on the industry. / Thesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2005.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/5529 |
| Date | January 2005 |
| Creators | Douwes, Errol. |
| Contributors | Edwards, Trevor J., Crouch, N. R. |
| Source Sets | South African National ETD Portal |
| Language | en_ZA |
| Detected Language | English |
| Type | Thesis |
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