journal article·2024-02-08Open access

DNA Barcoding as a Plant Identification Method

Stavroula Letsiou, Panagiotis Madesis, Efstathios Vasdekis, Cinzia Montemurro, Maria E. Grigoriou, George Skavdis, Vassilios Moussis, Antonios E. Koutelidakis, Andreas G. Tzakos

Applied Sciences· Volume 14· Issue 4

Abstract

In the last two decades, plant taxonomy has bloomed, following the development of a novel technique, namely, DNA barcoding. DNA barcodes are standardized sequences, ideally unique, coding or non-coding, either from the genome of the organism or from its organelles, that are used to identify/classify an organismal group; in short, the method includes amplification of the DNA barcode, sequencing and comparison with a reference database containing the relevant sequences from different species. In plants, the use a universal DNA barcode, such as COI, which is used in animals, has not been achieved so far. This review provides a comprehensive overview of the progress made in DNA barcoding within the field of plant taxonomy. It highlights the success of various barcode loci, the emergence of super barcodes from the chloroplast genome, and the overall impact of next-generation sequencing technologies on the field. The discussion of different approaches reflects the ongoing efforts to refine and optimize DNA barcoding techniques for plants, contributing to the advancement in our understanding of plant biodiversity.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Genomics and Phylogenetic Studies · Identification and Quantification in Food · Genetic diversity and population structure

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry, Section of Organic Chemistry and Biochemistry, University of Ioannina, 45110 Ioannina, Greece

Laboratory of Molecular Biology of Plants, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, 38446 Magnesia, Greece

Institute of Applied Biosciences (INAB), Centre for Research and Technology Hellas (CERTH), 57001 Thessaloniki, Greece

Directorate of Rural Economy, Region of Epirus, 45221 Ioannina, Greece

Department of Soil, Plant and Food Sciences (DISPA), University of Bari, 70126 Bari, Italy

Laboratory of Developmental Biology & Molecular Neurobiology, Department of Molecular Biology & Genetics, Democritus University of Thrace, 68100 Alexandroupolis, Greece

Laboratory of Molecular Regulation & Diagnostic Technology, Department of Molecular Biology & Genetics, Democritus University of Thrace, 68100 Alexandroupolis, Greece

Department of Food Science and Nutrition, University of the Aegean, 81440 Myrina, Greece

University Research Center of Ioannina, Institute of Materials Science and Computing, 45500 Ioannina, Greece

Funding

European Regional Development Fund

References (78)

Show source-provided references
1. Mora, C., Tittensor, D.P., Adl, S., Simpson, A.G., and Worm, B. (2011). How many species are there on Earth and in the ocean?. PLoS Biol., 9.10.1371/journal.pbio.1001127 ↗
2. IUCN (2022, December 01). The IUCN Red List of Threatened Species, Version 2022-1. Available online: https://nc.iucnredlist.org.
3. Plant DNA barcoding: From gene to genome10.1111/brv.12104 ↗
4. Traditional system versus DNA barcoding in identification of bamboo species: A systematic review10.1007/s12033-021-00337-4 ↗
5. DNA barcoding for the identification and authentication of animal species in traditional medicine10.1155/2018/5160254 ↗
6. DNA barcoding of plants: Selection of core markers for taxonomic groups10.14719/pst.2018.5.1.356 ↗
7. DNA barcode database of common herbal plants in the tropics: A resource for herbal product authentication10.1016/j.foodcont.2018.08.022 ↗
8. Biological identifications through DNA barcodes. Proceedings of the Royal Society of London10.1098/rspb.2002.2218 ↗
9. DNA barcoding and molecular phylogeny of Dumasia (Fabaceae: Phaseoleae) reveals a cryptic lineage10.1016/j.pld.2020.07.007 ↗
10. Cryptic species in ecotoxicology10.1002/etc.5696 ↗
11. Finding evolutionary processes hidden in cryptic species10.1016/j.tree.2017.11.007 ↗
12. DNA Barcoding studies on Thrips in India: Cryptic species and Species complexes10.1038/s41598-017-05112-7 ↗
13. Ten species in one: DNA barcoding reveals cryptic species in the neotropical skipper butterfly Astraptes fulgerator10.1073/pnas.0406166101 ↗
14. DNA barcoding and a precise morphological comparison revealed a cryptic species in the Nippolachnus piri complex (Hemiptera: Aphididae: Lachninae)10.1038/s41598-018-27218-2 ↗
15. Safhi, F.A., Alshamrani, S.M., Bogmaza AF, M., and El-Moneim, D.A. (2023). DNA Barcoding of Wild Plants with Potential Medicinal Properties from Faifa Mountains in Saudi Arabia. Genes, 14.10.3390/genes14020469 ↗
16. FDA (2022, December 01). Botanical Drug Development Guidance for Industry. U.S. Department of Health and Human Services, Food and Drug Administration, Available online: https://www.fda.gov/downloads/drugs/guidancecomplianceregulatoryinformation/guidances/ucm458484.pdf.
17. A barcode-DNA analysis method for the identification of plant oil adulteration in milk and dairy products10.1016/j.foodchem.2020.126986 ↗
18. From DNA barcoding to personalized nutrition: The evolution of food traceability10.1016/j.cofs.2019.07.008 ↗
19. Plant DNA barcoding system for forensic application10.1016/j.fsigss.2017.09.141 ↗
20. DNA barcoding in land plants: Evaluation of rbcL in a multigene tiered approach
21. Kress, W.J., and Erickson, D.L. (2007). A two-locus global DNA barcode for land plants: The coding rbcL gene complements the non-coding trnH-psbA spacer region. PLoS ONE, 2.10.1371/journal.pone.0000508 ↗
22. Vere, N.D., Rich, T.C., Trinder, S.A., and Long, C. (2015). Plant Genotyping, Humana Press.
23. Progress in the use of DNA barcodes in the identification and classification of medicinal plants10.1016/j.ecoenv.2020.111691 ↗
24. DNA barcoding will frequently fail in complicated groups: An example in wild potatoes10.3732/ajb.0800246 ↗
25. Frigerio, J., Pellesi, R., Mezzasalma, V., De Mattia, F., Galimberti, A., Lambertini, F., Suman, M., Zanardi, S., Leporati, A., and Labra, M. (2019). Development of a DNA barcoding-like approach to detect mustard allergens in wheat flours. Genes, 10.10.3390/genes10030234 ↗
26. From barcodes to genomes: Extending the concept of DNA barcoding10.1111/mec.13549 ↗
27. Luo, A., Zhang, A., Ho, S.Y., Xu, W., Zhang, Y., Shi, W., Cameron, S.L., and Zhu, C. (2011). Potential efficacy of mitochondrial genes for animal DNA barcoding: A case study using eutherian mammals. BMC Genom., 12.10.1186/1471-2164-12-84 ↗
28. DNA barcoding in animal species: Progress, potential and pitfalls10.1002/bies.20529 ↗
29. Use of DNA barcodes to identify flowering plants10.1073/pnas.0503123102 ↗
30. CBOL Plant Working Group (2009). A DNA barcode for land plants. Proc. Natl. Acad. Sci. USA, 106, 12794–12797.10.1073/pnas.0905845106 ↗
31. The changing epitome of species identification–DNA barcoding10.1016/j.sjbs.2014.03.003 ↗
32. DNA barcoding–A new device in phycolog’st’s toolbox10.1016/j.ecohyd.2019.01.002 ↗
33. DNA barcoding in plants: Taxonomy in a new perspective
34. A renaissance in herbal medicine identification: From morphology to DNA10.1016/j.biotechadv.2014.07.004 ↗
35. Hollingsworth, P.M., Graham, S.W., and Little, D.P. (2011). Choosing and using a plant DNA barcode. PLoS ONE, 6.10.1371/journal.pone.0019254 ↗
36. A comparative study of different DNA barcoding markers for the identification of some members of Lamiacaea10.1016/j.foodres.2010.12.032 ↗
37. A proposal for a standardised protocol to barcode all land plants10.1002/tax.562004 ↗
38. Molecular thresholds of ITS2 and their implications for molecular evolution and species identification in seed plants10.1038/s41598-017-17695-2 ↗
39. Species identification of poisonous medicinal plant using DNA barcoding
40. Chen, S.L., Yao, H., Han, J.P., Liu, C., Song, J.Y., Shi, L.C., Zhu, Y.J., Ma, X.Y., Gao, T., and Pang, X.H. (2010). Validation of the ITS2 region as a novel DNA barcode for identifying medicinal plant species. PLoS ONE, 5.10.1371/journal.pone.0008613 ↗
41. Yao, H., Song, J., Liu, C., Luo, K., Han, J., Li, Y., Pang, X., Xu, H., Zhu, Y., and Xiao, P. (2010). Use of ITS2 region as the universal DNA barcode for plants and animals. PLoS ONE, 5.10.1371/journal.pone.0013102 ↗
42. Wolf, M., Chen, S., Song, J., Ankenbrand, M., and Müller, T. (2013). Compensatory base changes in ITS2 secondary structures correlate with the biological species concept despite intragenomic variability in ITS2 sequences–a proof of concept. PLoS ONE, 8.10.1371/journal.pone.0066726 ↗
43. Zhang, J., Chen, M., Dong, X., Lin, R., Fan, J., and Chen, Z. (2015). Evaluation of four commonly used DNA barcoding loci for Chinese medicinal plants of the family Schisandraceae. PLoS ONE, 10.10.1371/journal.pone.0125574 ↗
44. The matK gene: Sequence variation and application in plant systematics10.2307/2445819 ↗
45. Dong, W., Liu, J., Yu, J., Wang, L., and Zhou, S. (2012). Highly variable chloroplast markers for evaluating plant phylogeny at low taxonomic levels and for DNA barcoding. PLoS ONE, 7.10.1371/journal.pone.0035071 ↗
46. New universal matK primers for DNA barcoding angiosperms10.1111/j.1759-6831.2011.00134.x ↗
47. Fazekas, A.J., Burgess, K.S., Kesanakurti, P.R., Graham, S.W., Newmaster, S.G., Husband, B.C., Percy, D.M., Hajibabaei, M., and Barrett, S.C.H. (2008). Multiple multilocus DNA barcodes from the plastid genome discriminate plant species equally well. PLoS ONE, 3.10.1371/journal.pone.0002802 ↗
48. The structure of the gene for the large subunit of ribulose 1, 5-bisphosphate carboxylase from spinach chloroplast DNA10.1093/nar/9.14.3251 ↗
49. RNA polymerase subunits encoded by the plastid rpo genes are not shared with the nucleus-encoded plastid enzyme10.1104/pp.117.4.1165 ↗
50. Evaluation of 10 plant barcodes in Bryophyta (Mosses)10.1111/j.1759-6831.2009.00063.x ↗
51. Universal primers for amplification of three non-coding regions of chloroplast DNA10.1007/BF00037152 ↗
52. Two promoters within the psbK-psbI-trnG gene cluster in tobacco chloroplast DNA10.1007/BF00326241 ↗
53. Lee, H.L., Yi, D.K., Kim, J.S., and Kim, K.J. (2007). Abstract Presented at the Second International Barcode of Life Conference, Academia Sinica.
54. Lahaye, R., Savolainen, V., Duthoit, S., Maurin, O., and van der Bank, M. (2008). A test of psbK-psbI and atpF-atpH as potential plant DNA barcodes using the flora of the Kruger National Park (South Africa) as a model system. Nat. Preced., 1.10.1038/npre.2008.1896.1 ↗
55. Wang, W., Wu, Y., Yan, Y., Ermakova, M., Kerstetter, R., and Messing, J. (2010). DNA barcoding of the Lemnaceae, a family of aquatic monocots. BMC Plant Biol., 10.10.1186/1471-2229-10-205 ↗
56. Biological diversity of Lemna aequinoctialis Welw. isolates influence biomass production and wastewater phytoremediation10.1016/j.biteb.2019.03.011 ↗
57. China Plant BOL Group 1, Li, D.Z., Gao, L.M., Li, H.T., Wang, H., Ge, X.J., Liu, J.Q., Chen, Z.D., Zhou, S.L., and Chen, S.L. (2011). Comparative analysis of a large dataset indicates that internal transcribed spacer (ITS) should be incorporated into the core barcode for seed plants. Proc. Natl. Acad. Sci. USA, 108, 19641–19646.10.1073/pnas.1104551108 ↗
58. DNA barcoding of medicinal plant material for identification10.1016/j.copbio.2013.09.010 ↗
59. Forensic botany II, DNA barcode for land plants: Which markers after the international agreement?10.1016/j.fsigen.2014.10.005 ↗
60. Chloroplast genomic data provide new and robust insights into the phylogeny and evolution of the Ranunculaceae10.1016/j.ympev.2019.02.024 ↗
61. Resolving the systematic positions of enigmatic taxa: Manipulating the chloroplast genome data of Saxifragales10.1016/j.ympev.2018.04.033 ↗
62. Plant super-barcode: A case study on genome-based identification for closely related species of Fritillaria10.1186/s13020-021-00460-z ↗
63. Parks, M., Cronn, R., and Liston, A. (2009). Increasing phylogenetic resolution at low taxonomic levels using massively parallel sequencing of chloroplast genomes. BMC Biol., 7.10.1186/1741-7007-7-84 ↗
64. Ultra-barcoding in cacao (Theobroma spp.; Malvaceae) using whole chloroplast genomes and nuclear ribosomal DNA10.3732/ajb.1100570 ↗
65. The complete nucleotide sequence of the tobacco chloroplast genome: Its gene organization and expression10.1002/j.1460-2075.1986.tb04464.x ↗
66. Chen, Q., Wu, X., and Zhang, D. (2020). Comparison of the abilities of universal, super, and specific DNA barcodes to discriminate among the original species of Fritillariae cirrhosae bulbus and its adulterants. PLoS ONE, 15.10.1371/journal.pone.0229181 ↗
67. Meusnier, I., Singer, G.A., Landry, J.F., Hickey, D.A., Hebert, P.D., and Hajibabaei, M. (2008). A universal DNA mini barcode for biodiversity analysis. BMC Genom., 9.10.1186/1471-2164-9-214 ↗
68. DNA mini barcoding: A derived barcoding method for herbal molecular identification10.3389/fpls.2019.00987 ↗
69. Ahmed, S.S. (2022). DNA Barcoding in Plants and Animals: A Critical Review, Academia Press.10.20944/preprints202201.0310.v1 ↗
70. Soil sampling and isolation of extracellular DNA from large amount of starting material suitable for metabarcoding studies10.1111/j.1365-294X.2011.05317.x ↗
71. Target capture and genome skimming for plant diversity studies10.1002/aps3.11537 ↗
72. Thiers, B. (2023, December 01). Index Herbariorum. Available online: http://sweetgum.nybg.org/science/ih/.
73. The limits of Hyb-Seq for herbarium specimens: Impact of preservation techniques10.3389/fevo.2019.00439 ↗
74. Genetic diversity and signature of divergence in the genome of grapevine clones of Southern Italy varieties10.3389/fpls.2023.1201287 ↗
75. Phylogenomics and the flowering plant tree of life10.1111/jipb.13415 ↗
76. Strategies for reducing per-sample costs in target capture sequencing for phylogenomics and population genomics in plants10.1002/aps3.11337 ↗
77. The effects of herbarium specimen characteristics on short-read NGS sequencing success in nearly 8000 specimens: Old, degraded samples have lower DNA yields but consistent sequencing success10.3389/fpls.2021.669064 ↗
78. Batch effects in population genomic studies with low-coverage whole genome sequencing data: Causes, detection and mitigation10.1111/1755-0998.13559 ↗