Scinovex

Research article · 2026 · Full text

International Journal of Biology Sciences

DNA barcoding-based identification of medicinal plant species used in herbal formulations

Pinkie Manhas

Volume 8(2) · Pages 126–130 · DOI: 10.33545/26649926.2026.v8.i2b.923 ↗

Research areasIdentification and Quantification in FoodEnvironmental DNA in Biodiversity StudiesPharmaceutical Quality and Counterfeiting

↓ Read full-text PDF0 citations

Abstract

Author-written

DNA barcoding is defined as a molecular identification system that uses a short, standardised genomic region to identify species with a level of resolution comparable to morphological taxonomy but applicable across all life stages and to fragmentary or processed material. In the context of medicinal plant authentication, this capability is particularly important because herbal formulations are typically prepared from dried, powdered, or extracted plant material for which morphological identification is no longer possible. This research applied a two-locus DNA barcoding protocol (rbcL + matK) to authenticate six medicinal plant species frequently used in Thai traditional formulations—Curcuma xanthorrhiza Roxb. (temu lawak), Phyllanthus amarus Schum. & Thonn. (lookpai), Alpinia galanga L. (kha), Curcuma longa L. (khamin), Ocimum sanctum L. (krapao), and Zingiber officinale Roscoe (khing) purchased from 12 registered commercial herbal suppliers in Bangkok. Research was conducted between January 2022 and August 2023 at the Bangkok Foundation for Botanical Research, Bangkok, Thailand. DNA was extracted from 72 commercial samples using a CTAB protocol, amplified by PCR using standardised primers (rbcL 1F/rbcL 724R; matK 390F/matK 1326R), sequenced by Sanger dideoxy termination, and matched against the BOLD Systems and GenBank (NCBI BLAST) databases. Twenty-one of 72 samples (29.2%) failed to produce a sequence at one or both loci; of the 51 samples that yielded sequences, 39 (76.5%) matched the declared species at ≥ 97% similarity, while 12 (23.5%) matched a different species or showed ambiguous matches below the 95% threshold. Curcuma xanthorrhiza showed the highest mis-identification rate (41.7%), with several samples matching C. longa instead. rbcL outperformed matK in PCR amplification success (84.7% vs 69.4%) across the processed herbal matrices. These findings establish that DNA barcoding can detect species adulteration and substitution in commercial Thai herbal formulations and identify C. xanthorrhiza supplies as a priority quality-control target.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • DNA barcoding is critical for authenticating medicinal plants because traditional morphological identification is impossible once plants are processed into powders or extracts. View evidence ↗

      Why it matters

      DNA barcoding is critical for authenticating medicinal plants because traditional morphological identification is impossible once plants are processed into powders or extracts.

      In the paper's own words

      “In the context of medicinal plant authentication, this capability is particularly important because herbal formulations are typically prepared from dried, powdered, or extracted plant material for which morphological identification is no longer possible.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Species substitution and deliberate adulteration in Asian herbal markets are significant consumer safety concerns. View evidence ↗

      Why it matters

      Species substitution and deliberate adulteration in Asian herbal markets are significant consumer safety concerns.

      In the paper's own words

      “The potential for unintentional species substitution where a visually or morphologically similar species is harvested, processed, and sold under an incorrect name or deliberate adulteration is well documented across Asian herbal markets and has been identified by regulators as a critical consumer safety issue”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Curcuma xanthorrhiza is a high-value Thai gastrointestinal remedy that is frequently substituted with Curcuma longa. View evidence ↗

      Why it matters

      Curcuma xanthorrhiza is a high-value Thai gastrointestinal remedy that is frequently substituted with Curcuma longa.

      In the paper's own words

      “C. xanthorrhiza (temu lawak), which commands a premium price and is designated as a Gastrointestinal Herbal Remedy in Thai regulations, has previously been documented as a frequent target for substitution with C. longa”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  2. The question

    • The study aimed to optimize a dual-locus DNA barcoding protocol and use it to detect species substitution in 72 commercial samples of six priority medicinal plants from 12 Bangkok suppliers. View evidence ↗

      The question

      The study aimed to optimize a dual-locus DNA barcoding protocol and use it to detect species substitution in 72 commercial samples of six priority medicinal plants from 12 Bangkok suppliers.

      In the paper's own words

      “The objectives of this research were: (i) to optimise a dual-locus (rbcL + matK) DNA barcoding protocol for processed Thai medicinal plant materials; (ii) to apply the protocol to 72 commercially sourced herbal product samples across six priority species from 12 Bangkok suppliers; (iii) to assess per-species and per-locus identification success rates; and (iv) to determine the prevalence of species substitution or mislabelling in the commercial sample set.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  3. What they did

    • The researchers used a dual-locus protocol targeting rbcL and matK to authenticate six species: C. xanthorrhiza, P. amarus, A. galanga, C. longa, O. sanctum, and Z. officinale. View evidence ↗

      What they did

      The researchers used a dual-locus protocol targeting rbcL and matK to authenticate six species: C. xanthorrhiza, P. amarus, A. galanga, C. longa, O. sanctum, and Z. officinale.

      In the paper's own words

      “This research applied a two-locus DNA barcoding protocol (rbcL + matK) to authenticate six medicinal plant species frequently used in Thai traditional formulations—Curcuma xanthorrhiza Roxb. (temu lawak), Phyllanthus amarus Schum. & Thonn. (lookpai), Alpinia galanga L. (kha), Curcuma longa L. (khamin), Ocimum sanctum L. (krapao), and Zingiber officinale Roscoe (khing)”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The study analyzed 72 commercial samples (50–100 mg of powder each), with 6 samples from each of the 12 registered suppliers. View evidence ↗

      What they did

      The study analyzed 72 commercial samples (50–100 mg of powder each), with 6 samples from each of the 12 registered suppliers.

      In the paper's own words

      “Commercial herbal samples (72 in total, 50–100 mg powdered plant material per sample) were received from 12 registered Bangkok suppliers (6 samples per supplier, encompassing all 6 target species).”

      Page 2

      Found in: Extraction protocol

      Read it in the full textOpen PDF at page 2 ↗
    • DNA was extracted via CTAB protocol, amplified using specific rbcL and matK primers, sequenced by Sanger method, and compared against BOLD and GenBank databases. View evidence ↗

      What they did

      DNA was extracted via CTAB protocol, amplified using specific rbcL and matK primers, sequenced by Sanger method, and compared against BOLD and GenBank databases.

      In the paper's own words

      “DNA was extracted from 72 commercial samples using a CTAB protocol, amplified by PCR using standardised primers (rbcL 1F/rbcL 724R; matK 390F/matK 1326R), sequenced by Sanger dideoxy termination, and matched against the BOLD Systems and GenBank (NCBI BLAST) databases.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Samples with low DNA purity (A260/A280 < 1.7) underwent an additional protein digestion step using proteinase K. View evidence ↗

      What they did

      Samples with low DNA purity (A260/A280 < 1.7) underwent an additional protein digestion step using proteinase K.

      In the paper's own words

      “Samples with A260/A280 < 1.7 were re-extracted with an additional protein digestion step using proteinase K (100 µg/mL; Sigma-Aldrich) at 55 °C for 30 min.”

      Page 2

      Found in: Extraction protocol

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • Usable barcode sequences were obtained from 70.8% (51 of 72) of the commercial samples. View evidence ↗

      What they found

      Usable barcode sequences were obtained from 70.8% (51 of 72) of the commercial samples.

      In the paper's own words

      “Of 72 commercial samples, 51 (70.8%) yielded usable barcode sequences from at least one locus.”

      Page 2

      Found in: Results

      Read it in the full textOpen PDF at page 2 ↗
    • The rbcL locus had a higher PCR amplification success rate (84.7%) compared to the matK locus (69.4%). View evidence ↗

      What they found

      The rbcL locus had a higher PCR amplification success rate (84.7%) compared to the matK locus (69.4%).

      In the paper's own words

      “rbcL amplified successfully in 61 of 72 samples (84.7%), while matK amplified successfully in 50 of 72 samples (69.4%).”

      Page 2

      Found in: Results

      Read it in the full textOpen PDF at page 2 ↗
    • Among samples with sequences, 23.5% (12 of 51) were either misidentified as a different species or were ambiguous. View evidence ↗

      What they found

      Among samples with sequences, 23.5% (12 of 51) were either misidentified as a different species or were ambiguous.

      In the paper's own words

      “of the 51 samples that yielded sequences, 39 (76.5%) matched the declared species at ≥ 97% similarity, while 12 (23.5%) matched a different species or showed ambiguous matches below the 95% threshold.”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • Curcuma xanthorrhiza had the highest misidentification rate at 41.7%, often being substituted with C. longa. View evidence ↗

      What they found

      Curcuma xanthorrhiza had the highest misidentification rate at 41.7%, often being substituted with C. longa.

      In the paper's own words

      “Curcuma xanthorrhiza showed the highest mis-identification rate (41.7%), with several samples matching C. longa instead.”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • The very small genetic distance between C. xanthorrhiza and C. longa at the rbcL locus (K2P = 0.018) explains why they are frequently substituted. View evidence ↗

      What they found

      The very small genetic distance between C. xanthorrhiza and C. longa at the rbcL locus (K2P = 0.018) explains why they are frequently substituted.

      In the paper's own words

      “Table 2 demonstrates that the smallest pairwise genetic distance by rbcL is between C. xanthorrhiza and C. longa (K2P = 0.018), confirming why substitution of one for the other is the most common error”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗
    • Zingiber officinale had the lowest dual-locus success rate (33.3%) due to polysaccharide interference in the DNA extracts. View evidence ↗

      What they found

      Zingiber officinale had the lowest dual-locus success rate (33.3%) due to polysaccharide interference in the DNA extracts.

      In the paper's own words

      “Z. officinale had the lowest dual-locus success (33.3%), attributed to extensive polysaccharide interference in the DNA extracts despite pre-treatment”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors conclude that morphological standards are insufficient and recommend that the Thai FDA integrate DNA-based verification into supplier registration. View evidence ↗

      What it means

      The authors conclude that morphological standards are insufficient and recommend that the Thai FDA integrate DNA-based verification into supplier registration.

      In the paper's own words

      “The implication of these findings for herbal regulation in Thailand is that pharmacopoeial morphological standards alone are insufficient for post-processing authentication and that DNA-based verification should be systematically integrated into the supplier registration process managed by the Thai Food and Drug Administration.”

      Page 4

      Found in: Discussion

      Read it in the full textOpen PDF at page 4 ↗
    • Because of the close relationship between C. xanthorrhiza and C. longa, the authors state that matK sequencing is essential for accurate identification of this pair. View evidence ↗

      What it means

      Because of the close relationship between C. xanthorrhiza and C. longa, the authors state that matK sequencing is essential for accurate identification of this pair.

      In the paper's own words

      “C. xanthorrhiza accounts for a disproportionate share of mis-identification events, and its close genetic relationship with C. longa at the rbcL locus means that matK confirmatory sequencing is not optional for this species pair.”

      Page 4

      Found in: Discussion

      Read it in the full textOpen PDF at page 4 ↗
    • The authors identify the need for a full dual-locus database for Thai medicinal plants and the evaluation of high-resolution melting (HRM) analysis as a cheaper alternative to Sanger sequencing. View evidence ↗

      What it means

      The authors identify the need for a full dual-locus database for Thai medicinal plants and the evaluation of high-resolution melting (HRM) analysis as a cheaper alternative to Sanger sequencing.

      In the paper's own words

      “Future research directions emerging from these findings include: (i) full dual-locus sequence database compilation for Thai medicinal plants listed in the National List of Essential Medicines; (ii) evaluation of high-resolution melting (HRM) analysis as a faster, cheaper alternative to Sanger sequencing”

      Page 4

      Found in: Discussion

      Read it in the full textOpen PDF at page 4 ↗

Visual summary

1 visuals

Illustrations explain the paper; they do not show study data.

AI-generated illustration
AI-generated conceptual illustration (Curcuma xanthorrhiza and Curcuma longa rhizomes). It explains the idea and does not show study data.↗ Enlarge
The Necessity of Dual-Locus Barcoding
AI-generated conceptual illustration (Curcuma xanthorrhiza and Curcuma longa rhizomes). It explains the idea and does not show study data.

AI-generated conceptual illustration (Curcuma xanthorrhiza and Curcuma longa rhizomes). It explains the idea and does not show study data.

Open full-size image ↗

The Necessity of Dual-Locus Barcoding

AI-generated conceptual illustration (Curcuma xanthorrhiza and Curcuma longa rhizomes). It explains the idea and does not show study data.

View source evidence ↗

Figures & tables

From the original paper
Box plot of rbcL sequence similarity scores (% match to reference sequences in BOLD Systems) for six Thai medicinal plant speciesFigure 1Page 2Statistical summary of rbcL and matK amplification success rates and mean sequence similarity across six Thai medicinal plantTable 1Page 3Pairwise genetic distances (Kimura 2-parameter) between rbcL sequences from authenticated reference specimens of six ThaiTable 2Page 3Species substitution and mislabelling events detected by dual-locus DNA barcoding across 12 commercial herbal suppliersTable 3Page 3DNA barcoding workflow cycle applied for identification of Thai medicinal plant species in commercial herbal formulations,Figure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

DNA barcoding, first proposed by Hebert and colleagues in 2003 as a universal species identification system based on short standardised genomic regions, has transformed biological identification by enabling molecular-level species recognition independent of life stage, expert taxonomic knowledge, or morphological integrity of the sample [1] . For plant science, the Consortium for the Barcode of Life (CBOL) Plant Working Group evaluated multiple candidate loci and ultimately recommended a dual-locus standard-rbcL combined with matK-that collectively identifies the majority of vascular plant species when matched against a comprehensive reference library [2,3] . The adoption of this dual-locus approach opened a new frontier in medicinal plant quality control, where the inability to authenticate species in processed, dried, or powdered material represents a persistent challenge for the herbal medicine industry worldwide [4] . Thailand has one of Asia's most diverse and commercially significant traditional medicine sectors, with over 1,800 plant species listed in the National List of Essential Medicines for Herbal Products and annual market values estimated to exceed USD 800 million. Quality control for commercial herbal products in Thailand relies primarily on pharmacopoeial macroscopic and microscopic evaluation standards, which become unreliable once plant material has been dried, ground, or extracted. The potential for unintentional species substitution where a visually or morphologically similar species is harvested, processed, and sold under an incorrect name or deliberate adulteration is well documented across Asian herbal markets and has been identified by regulators as a critical consumer safety issue [5,6] .

Among Thai herbal formulations, mixtures containing Curcuma, Zingiber, and Alpinia species are among the most commercially prevalent, partly because of the overlapping morphological similarities between related rhizomatous Zingiberaceae members at the powder or extract stage. C. xanthorrhiza (temu lawak), which commands a premium price and is designated as a Gastrointestinal Herbal Remedy in Thai regulations, has previously been documented as a frequent target for substitution with C. longa [7] . Authentication of these species at the commercial supply stage is therefore a regulatory priority, and DNA barcoding methods offer a rapid, laboratory-deployable solution provided that extraction and amplification protocols can be optimised for the processed matrices [8] . The objectives of this research were: (i) to optimise a dual-locus (rbcL + matK) DNA barcoding protocol for processed Thai medicinal plant materials; (ii) to apply the protocol to 72 commercially sourced herbal product samples across six priority species from 12 Bangkok suppliers; (iii) to assess per-species and per-locus identification success rates; and (iv) to determine the prevalence of species substitution or mislabelling in the commercial sample set.

Materials and Methods

Reagents and Chemicals CTAB (cetyltrimethylammonium bromide; Sigma-Aldrich, Cat. No. H5882; ≥ 98%) was used for DNA extraction at a final concentration of 2% (w/v) in 100 mM Tris-HCl pH 8.0, 20 mM EDTA, 1.4 M NaCl. Beta-mercaptoethanol (Sigma-Aldrich; ≥ 99%) was added at 0.2% (v/v) immediately before use. Chloroform:isoamyl alcohol (24:1; Merck) and isopropanol (≥ 99.7%; RCI Labscan, Bangkok) were used for DNA precipitation. PCR amplification used HotStarTaq Plus DNA Polymerase (Qiagen, Cat. No. 203643) with Q-Solution. Primers rbcL-1F (5′-ATGTCACCACAAACAGAGACTAAAGC-3′) and rbcL-724R (5′-TCGCATGTACCTGCAGTAGC-3′) for the rbcL locus, and matK-390F (5′-CGATCTATTCATTCAATATTTC-3′) and matK-1326R (5′-TCTAGCACACGAAAGTCGAAGT-3′) for matK were synthesised by Integrated DNA Technologies (Coralville, Iowa, USA). BigDye Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems) was used for Sanger sequencing.

Extraction protocol

Commercial herbal samples (72 in total, 50-100 mg powdered plant material per sample) were received from 12 registered Bangkok suppliers (6 samples per supplier, encompassing all 6 target species). Each sample was pretreated by incubating 80 mg powder in liquid nitrogen for 5 min followed by vortexing to break cell walls before addition of CTAB buffer (900 µL). The mixture was incubated at 65 °C for 90 min with gentle mixing every 15 min. Chloroform: isoamyl alcohol extraction (two rounds) was followed by isopropanol precipitation, ethanol washing (70%), and resuspension in TE buffer. DNA purity (A260/A280 ratio 1.75-1.95 considered acceptable) and concentration (Thermo NanoDrop 2000) were recorded for each extract. Samples with A260/A280 < 1.7 were reextracted with an additional protein digestion step using proteinase K (100 µg/mL; Sigma-Aldrich) at 55 °C for 30 min.

Quality Control / Calibration

Positive controls (authenticated reference genomic DNA from six voucher specimens, BFBR-2022-101 to -106, deposited at the Bangkok Foundation for Botanical Research herbarium) and negative controls (no-template water blanks) were included in every PCR batch of 8 reactions. Reference sequences for all 6 target species were retrieved from BOLD Systems and GenBank and aligned in MEGA 11 to confirm primer binding regions. Sequencing was performed bidirectionally (both strands) and consensus sequences assembled using Sequencher 5.4.6 (Gene Codes, Ann Arbor, MI). Sequences with Phred quality score < 30 over > 20% of the read length were excluded and the sample re-amplified before final matching. BLAST searches used the NCBI nr/nt database (accessed October 2023) with a minimum query coverage of 85% and default gap costs.

Results

Of 72 commercial samples, 51 (70.8%) yielded usable barcode sequences from at least one locus. rbcL amplified successfully in 61 of 72 samples (84.7%), while matK amplified successfully in 50 of 72 samples (69.4%). Duallocus sequences were obtained from 47 samples (65.3%). C. longa (K2P = 0.018), confirming why substitution of one for the other is the most common error and why dual-locus confirmation is essential for these two species. A. galanga and Z. officinale are also comparatively close (K2P = 0.051), though this did not translate into a mis-identification event in this dataset because the matK locus was more discriminatory for this pair.

Discussion

The primary finding of this research-that 23.5% of commercially sourced Thai herbal formulation samples tested failed to match their declared species by dual-locus DNA barcoding-is both scientifically significant and carries direct implications for herbal medicine quality regulation in Thailand. This figure is consistent with international comparative data: Newmaster and colleagues [7] , in a landmark analysis of 44 herbal products sold in North America and containing DNA of 30 plant species, found that 59% of products contained species not listed on the label; while the Thai market rate detected here is considerably lower, it still represents a quality assurance failure affecting roughly one in four tested samples. The species comparison across the six targets reveals that C. xanthorrhiza is the highest-risk item in the Thai herbal market, with three confirmed substitution events out of 12 samples from 12 different suppliers-a 25% per-sample mislabelling rate for this species alone. This outcome is directly predicted by the K2P distance data in Table 2: the extremely close genetic distance between C. xanthorrhiza and C. longa (K2P = 0.018) at the rbcL locus means that near-identical sequence matches do not unambiguously identify one versus the other, making matK an essential confirmatory locus for this genus. This finding validates the CBOL dual-locus recommendation for Zingiberaceae and contradicts any single-locus rbcL-only screening approach for products containing Curcuma species [9,10] . From a methodological standpoint, the lower matK PCR success rate (69.4% vs 84.7% for rbcL) observed across all six species reflects the well-documented challenge of amplifying a longer, more AT-rich fragment from processed, aged, or oxidised plant material. The additional proteinase K digestion step introduced for samples with A260/A280 < 1.7 improved recovery in six of nine eligible samples, suggesting that protein co-precipitation from dried plant matrices remains a key inhibitory factor for matK amplification even with the CTAB protocol. Future optimisation should investigate inhibitor removal columns (Zymo Clean & Concentrator series) as a rapid alternative to double chloroform extraction [11] . Z. officinale presented the greatest extraction challenge (33.3% dual-locus success), consistent with the high polysaccharide content characteristic of ginger rhizomes, which are known to reduce A260/A280 ratios and co-precipitate with DNA during isopropanol steps [12] . The implication of these findings for herbal regulation in Thailand is that pharmacopoeial morphological standards alone are insufficient for post-processing authentication and that DNA-based verification should be systematically integrated into the supplier registration process managed by the Thai Food and Drug Administration. The cost per sample for the dual-locus protocol used here (PCR reagents, sequencing, bioinformatics) has declined sufficiently over the past decade to make batch-level supplier screening economically feasible for regulatory agencies [13] . A national DNA barcode reference library for the approximately 300 most commercially important Thai medicinal plants, currently being compiled through collaborative networks, would further reduce analytical turnaround time and improve BLAST match reliability for products where the current BOLD reference library is sparse [14,15] .

Table 2. Pairwise genetic distances (Kimura 2-parameter) between rbcL sequences from authenticated reference specimens of six Thai
SpeciesC. xanthorrhizaP. amarusA. galangaC. longaO. sanctumZ. officinale
C. xanthorrhiza-0.0810.1240.0180.1450.132
P. amarus0.081-0.0980.0790.1170.104
A. galanga0.1240.098-0.1180.1410.051
C. longa0.0180.0790.118-0.1360.129
O. sanctum0.1450.1170.1410.136-0.148
Z. officinale0.1320.1040.0510.1290.148-

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Pairwise genetic distances (Kimura 2-parameter) between rbcL sequences from authenticated reference specimens of six Thai↗ Enlarge
Table 2
Pairwise genetic distances (Kimura 2-parameter) between rbcL sequences from authenticated reference specimens of six Thai

Pairwise genetic distances (Kimura 2-parameter) between rbcL sequences from authenticated reference specimens of six Thai

Open full-size image ↗
Original paper tableSource PDF · page 3 ↗

Conclusion

Conclusion

Acknowledgement

Acknowledgements Institutional supportThe Bangkok Foundation for Botanical Research is acknowledged for providing laboratory space, sequencing facilities, bioinformatics infrastructure, and access to the institutional herbarium (voucher collection BFBR-2022) throughout the research period. Contributions not qualifying for authorshipThe research team thanks Mr. Kritsada Phomsin for technical support with DNA extraction and gel electrophoresis. Dr. Sawitree Malaivijitnond of the National Science and Technology Development Agency (NSTDA) Thailand is acknowledged for advisory guidance on barcode database design. Funding sourcesPartial financial support was received from the Thailand Research Fund (TRF) through the Research Career Development Grant (RCDG) programme. Equipment and International Journal of Biology Sciences https://www.biologyjournal.net consumables for Sanger sequencing were funded through a departmental operating budget allocation at the Bangkok Foundation for Botanical Research.

Figures and tables from the paper

Figure 1. Box plot of rbcL sequence similarity scores (% match to reference sequences in BOLD Systems) for six Thai medicinal plant species
Box plot of rbcL sequence similarity scores (% match to reference sequences in BOLD Systems) for six Thai medicinal plant species↗ Enlarge
Figure 1
Box plot of rbcL sequence similarity scores (% match to reference sequences in BOLD Systems) for six Thai medicinal plant species

Box plot of rbcL sequence similarity scores (% match to reference sequences in BOLD Systems) for six Thai medicinal plant species

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Table 1. Statistical summary of rbcL and matK amplification success rates and mean sequence similarity across six Thai medicinal plant
Statistical summary of rbcL and matK amplification success rates and mean sequence similarity across six Thai medicinal plant↗ Enlarge
Table 1
Statistical summary of rbcL and matK amplification success rates and mean sequence similarity across six Thai medicinal plant

Statistical summary of rbcL and matK amplification success rates and mean sequence similarity across six Thai medicinal plant

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗
Table 3. Species substitution and mislabelling events detected by dual-locus DNA barcoding across 12 commercial herbal suppliers
Declared SpeciesSupplier CodeSample IDIdentified as (BOLD/NCBI)% Similarity (rbcL)Substitution Type
C. xanthorrhizaBKK-03S3-CX-02C. longa99.1%Species substitution
C. xanthorrhizaBKK-07S7-CX-01C. longa98.8%Species substitution
C. xanthorrhizaBKK-11S11-CX-02Curcuma spp. (unresolved)88.4%Ambiguous / mixed
P. amarusBKK-05S5-PA-01Phyllanthus urinaria97.2%Congener substitution
O. sanctumBKK-09S9-OS-02Ocimum tenuiflorum94.3%Low-level mismatch

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Species substitution and mislabelling events detected by dual-locus DNA barcoding across 12 commercial herbal suppliers↗ Enlarge
Table 3
Species substitution and mislabelling events detected by dual-locus DNA barcoding across 12 commercial herbal suppliers

Species substitution and mislabelling events detected by dual-locus DNA barcoding across 12 commercial herbal suppliers

Open full-size image ↗
Original paper tableSource PDF · page 3 ↗
Figure 2. DNA barcoding workflow cycle applied for identification of Thai medicinal plant species in commercial herbal formulations,
DNA barcoding workflow cycle applied for identification of Thai medicinal plant species in commercial herbal formulations,↗ Enlarge
Figure 2
DNA barcoding workflow cycle applied for identification of Thai medicinal plant species in commercial herbal formulations,

DNA barcoding workflow cycle applied for identification of Thai medicinal plant species in commercial herbal formulations,

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

References

15 in the original paper
  1. Hebert PDN, Cywinska A, Ball SL, deWaard JR. Biological identifications through DNA barcodes. Proc R Soc B Biol Sci. 2003;270(1512):313-321.
  2. CBOL Plant Working Group. A DNA barcode for land plants. Proc Natl Acad Sci U S A. 2009;106(31):1279412797.
  3. Hollingsworth PM, Graham SW, Little DP. Choosing and using a plant DNA barcode. PLoS One. 2011;6(5):e19254.
  4. Newmaster SG, Grguric M, Shanmughanandhan D, et al. DNA barcoding detects contamination and substitution in North American herbal products. BMC Med. 2013;11:222.
  5. Srirama R, Senthilkumar U, Sreejayan N, et al. Species adulteration in the herbal trade: causes, consequences and mitigation. Drug Saf. 2017;40(8):651-660.
  6. De Boer HJ, Ichim MC, Newmaster SG. DNA barcoding and pharmacovigilance of herbal medicines. Drug Saf. 2015;38(7):611-620.
  7. Raclariu AC, Heinrich M, Ichim MC, de Boer HJ. Benefits and limitations of DNA barcoding and metabarcoding in herbal product authentication. Phytochem Anal. 2018;29(2):123-128.
  8. Sass C, Little DP, Stevenson DW, Specht CD. DNA barcoding in the Cycadales: testing the potential of proposed barcoding markers for species identification of cycads. PLoS One. 2007;2(11):e1154.
  9. Chen S, Yao H, Han J, et al. Validation of the ITS2 region as a novel DNA barcode for identifying medicinal plant species. PLoS One. 2010;5(1):e8613.
  10. Lahaye R, van der Bank M, Bogarín D, et al. DNA barcoding the floras of biodiversity hotspots. Proc Natl Acad Sci U S A. 2008;105(8):2923-2928.
  11. Sucher NJ, Carles MC. Genome-based approaches to the authentication of medicinal plants. Planta Med. 2008;74(6):603-623.
  12. Kress WJ, Wurdack KJ, Zimmer EA, et al. Use of DNA barcodes to identify flowering plants. Proc Natl Acad Sci U S A. 2005;102(23):8369-8374.
  13. Liu J, Shi LC, Han JP, et al. Identification of species in the traditional Chinese medicine fumigant Shen with DNA barcoding. Mol Ecol Resour. 2018;18(1):98-106.
  14. Stoeckle M. Taxonomy, DNA, and the bar code of life. BioScience. 2003;53(9):796-797.
  15. Ford CS, Ayres KL, Toomey N, et al. Selection of candidate coding DNA barcoding regions for use on land plants. Bot J Linn Soc. 2009;159(1):1-11.