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Updated: Feb 7, 2026

Author Spotlight: Harnessing DNA Barcode Technology to Enhance the Efficiency of Medicinal Plant Identification
Published on: November 1, 2024
Decoding ice plants: challenges associated with barcoding and phylogenetics in the diverse succulent family Aizoaceae
Robyn F Powell1,2,3, Anthony R Magee2,4, James S Boatwright1
1a Department of Biodiversity and Conservation Biology, University of the Western Cape, Private Bag X17, Bellville, Cape Town, South Africa.
Abstract:
Aizoaceae is the largest succulent plant family in the world, including in excess of 1800 species. Despite its richness, a large proportion of its taxa are listed as data deficient and as such, has been identified as the top priority for taxonomic research in South Africa. Limitations to accurate taxonomic identification of taxa in the family may be partly attributed to the degree of technical knowledge required to identify taxa in the Aizoaceae. DNA barcoding may provide an alternative method of identification; however, the suitability of commonly used gene regions has not been tested in the family. Here, we analyse variable and parsimony informative characters (PIC), as well as the barcoding gap, in commonly used plastid regions (atpB-rbcL, matK, psbA-trnH, psbJ-petA, rpl16, rps16, trnD-trnT, trnL-trnF, trnQ-rps16, and trnS-trnG) and the nuclear region ITS (for Aizooideae only) across two subfamilies and two expanded clades within the Aizoaceae. The relative percentage of PIC was much greater in subfamilies Aizooideae and Mesembryanthemoideae than in Ruschioideae. Although nrITS had the highest percentage of PIC, barcoding gap analyses identified neither ITS nor any chloroplast region as suitable for barcoding of the family. From the results, it is evident that novel barcoding regions need to be explored within the Aizoaceae.
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