Abstract
The genus Leea L. includes some species that are known to have ethnomedicinal properties. They have been used as cures against common ailments such as skin infections and arthritis. To augment the morphological identification of this taxon, four candidate chloroplast DNA barcodes (matK, rbcL, trnH-psbA and trnL-F) were tested for their efficiency as single-locus barcodes for four Leea species. Genomic DNA from silica-dried leaf samples were isolated and used as template for generating DNA barcodes. Pairwise sequence divergence using the Kimura two-parameter model was used to analyse interspecific and intraspecific variations among the barcodes whereas BLAST and neighbour-joining analyses were employed to examine discrimination success. The results show that matK is the most efficient single-locus barcode for Leea by yielding the highest rate of universality as well as the best discriminatory and authentication power among the barcodes examined.
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