Comparative analysis of the efficiency of DNA markers for species identification of plants of the genus Betula
https://doi.org/10.29235/1561-8323-2026-70-5-383-389
Abstract
A comparative assessment of the resolving power of chloroplast (rbcL, psbA-trnH, matK) and nuclear (ITS1, ITS2) molecular markers for species identification of representatives of the genus Betula was performed. It was shown that chloroplast sequences are characterized by low variability, with the poorest performance obtained for rbcL. In contrast, markers of the ITS region possess significantly higher discriminatory power. ITS2 demonstrated potential for the identification of ten species (ranging from 61.7 to 93.1 %), whereas the best performance was revealed for ITS1: the highest number of reliably identified species (five species with 100 % efficiency and eleven above 65 %), the barcoding index reached its maximum among all markers studied (6.04), and the proportion of overlapping intra- and interspecific variability pairs was the lowest (26.66 %). Taken together, the data support ITS1 as the most reliable molecular marker for identification of species of the genus Betula.
Keywords
About the Authors
A. N. ViarchukBelarus
Viarchuk Aleksey N. – Researcher
27, Akademicheskaya Str., 220072, Minsk
A. V. Kilchevsky
Belarus
Kilchevsky Alexander V. – Academician, D. Sc. (Biology), Professor, Head of the Laboratory
27, Akademicheskaya Str., 220072, Minsk
References
1. World Flora Online: Betula L. 2024. Available at: https://www.worldfloraonline.org/taxon/wfo-4000004547 (accessed 11 February 2026).
2. Forest restoration is underway across Belarus. Everyone can join in! Ministry of Forestry of the Republic of Belarus. Available at: https://mlh.gov.by/news/13977/ (accessed 11 February 2026).
3. Information Retrieval System of the Central Botanical Garden of the National Academy of Sciences of Belarus. Available at: https://web.archive.org/web/20241113022706/http://hbc.bas-net.by/plantae/default.php?otdel=eNortjI0slI68vTD00f_3774-On3UyVrXDB2NQzB&type=ras (accessed 23 June 2026).
4. Tarieiev A. S., Gailing O., Krutovsky K. V. ITS secondary structure reconstruction to resolve taxonomy and phylogeny of the Betula L. genus. PeerJ, 2021, vol. 9, art. e10889. https://doi.org/10.7717/peerj.10889
5. Bell K. L., de Vere N., Keller A., Richardson R. T., Gous A., Burgess K. S., Brosi B. J. Pollen DNA barcoding: current applications and future prospects. Genome, 2016, vol. 59, no. 9, pp. 629–640. https://doi.org/10.1139/gen-2015-0200
6. Viarchuk A. N., Kubrak S. V., Kilchevskiy A. V. Trends in modern palynology and prospects of using DNA barcoding for the differentiation of plant by pollen. Molekulyarnaya i prikladnaya genetika = Molecular and Applied Genetics, 2021, vol. 31, pp. 134–146 (in Russian).
7. Hebert P. D., Cywinska A., Ball S. L., deWaard J. R. Biological identifications through DNA barcodes. Proceedings of the Royal Society of London. Series B: Biological Sciences, 2003, vol. 270, no. 1512, pp. 313–321. https://doi.org/10.1098/rspb.2002.2218
8. CBOL Plant Working Group, Hollingsworth P. M., Forrest L. L., Spouge J. L., Hajibabaei M., Ratnasingham S., van der Bank M. [et al.]. A DNA barcode for land plants. Proceedings of the National Academy of Sciences of the United States of America, 2009, vol. 106, no. 31, pp. 12794–12797. https://doi.org/10.1073/pnas.0905845106
9. Viarchuk A. N., Kilchevskiy A. V. Testing of commercial kits and DNA isolation methods for molecular genetic studies of plant pollen. Molekulyarnaya i prikladnaya genetika = Molecular and Applied Genetics, 2024, vol. 36, pp. 71–81 (in Russian).
10. Chinchor N. MUC-4 evaluation metrics. Proceedings of the Fourth Conference on Message Understanding. McLean, Virginia, 1992, pp. 22–29. https://doi.org/10.3115/1072064.1072067
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