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    • Keywords


      Lamiaceae; phylogenetic relationship; plastid marker; species identification; Verbenaceae

    • Abstract


      The families Lamiaceae and Verbenaceae comprise several closely related species that possess high morphologicalsynapomorphic traits. Hence, there is a tendency of species misidentification using only the morphologicalcharacters. Herein, we evaluated the discriminatory power of the universal DNA barcodes (matKand rbcL) for 53 species spanning the two families. Using these markers, we inferred phylogenetic relationshipsand conducted species delimitation analysis using four delimitation methods: Automated Barcode GapDiscovery (ABGD), TaxonDNA, Bayesian Poisson Tree Processes (bPTP) and General Mixed Yule Coalescent(GMYC). The phylogenetic reconstruction based on the matK gene resolved the relationships between thefamilies and further suggested the expansion of the Lamiaceae to include some core Verbanaceae genus, e.g.,Gmelina. The rbcL marker using the TaxonDNA method displayed high species delimitation resolutions, whilethe ABGD, GMYC, and bPTP generated different number of Operational Taxonomic Units/genetic clusters.Our results underscored the efficiency of the matK and rbcL genes as reliable markers for resolving phylogeneticrelationships and species delimitation of both families, respectively. The current study provides insightsinto the DNA barcode applications in these families, at the same time contributing to the current understandingof genetic divergence patterns in angiosperms.

    • Author Affiliations



      1. Department of Botany, University of Lagos, Akoka, Yaba, Lagos, Nigeria
      2. Forest Herbarium Ibadan (FHI), Forestry Research Institute of Nigeria, Ibadan, Nigeria
      3. Department of Education Science (Biology Unit), Distance Learning Institute, University of Lagos, Akoka, Lagos, Nigeria
      4. Landmark University, Omu-Aran, Kwara State, Nigeria
      5. Ethnobotany Unit, Department of Plant Biology, Faculty of Life Sciences, University of Ilorin, Ilorin, Nigeria
      6. Department of Ecotourism and Wildlife Management, Federal University of Technology, Akure, Ondo State, Nigeria
    • Dates

    • Supplementary Material

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