The aim of our work was to obtain chloroplast (trnH-psbA) and nuclear (ITS1-ITS2) DNA nucleotide sequences and identify the phylogenetic position of Phlojodicarpus villosus (Apiaceae). This species of vascular plants is represented in the Urals by isolated relic populations and is included in the regional Red Data Books. There is no data on P. villosus nucleotide sequences in the international open genetic databases. We studied two herbarium specimens of P. villosus, one collected from the Ural part of its range in the Komi Republic (Northern Urals) and the second collected from the main part of its range in the Magadan Region (Kolyma Highlands). Combining nuclear and chloroplast markers made it possible to reliably determine phylogenetic position of P. villosus within the tribe Selineae (subfamily Apioideae, family Apiaceae). We found ITS1-ITS2 and trnH-psbA nucleotide sequences to be sufficiently informative to identify specimens of this genus. High polymorphism of P. villosus sequences obtained from different parts of its range (Northern Urals and Kolyma Highlands) and the presence of evolutionary events (deletions) require more detail study of P. villosus and other Phlojodicarpus taxa by DNA barcoding methods.

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We presented the updated list of flowering plants (Angiosperms) of the Komi Republic that comprises 1211 taxa (including subspecies), 401 genera, and 80 families. This checklist based on the authors field collections data, materials from the Scientific Herbarium of the Institute of Biology of the Komi Scientific Center of the Ural Branch of the Russian Academy of Sciences, published data and open-access databases. For each taxon of flowering plants, we provided a presence-absence checklist of nucleotide sequences (rbcL, matK, ITS2 and trnH-psbA) that is available in BOLD and GenBank databases of DNA barcode data. The presented dataset will promote the identification of potentially new species (including endemic taxa) for molecular taxonomy and including of new sequences into the global database of BOLD Systems using the regional flora as model object.

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