Scinovex

Research article · 2026 · Full text

International Journal of Horticulture and Food Science

DNA barcoding reveals cryptic diversity among aphid pests of cruciferous

Siriporn WongsiriNattapong Kulkarn

Volume 8(5) · Pages 36–39 · DOI: 10.33545/26631067.2026.v8.i5a.779 ↗

Research areasHemiptera Insect StudiesInvertebrate Taxonomy and EcologyInsect-Plant Interactions and Control

↓ Read full-text PDF0 citations

Abstract

Author-written

Cryptic species diversity, defined as the existence of morphologically indistinguishable yet genetically distinct lineages within a nominal taxon, poses significant challenges for pest identification in agricultural systems. This research employed cytochrome c oxidase subunit I (COI) gene barcoding to assess the species diversity and cryptic variation among aphid pests of cruciferous crops in Chiang Mai Province, Thailand. A total of 174 aphid specimens were collected from cabbage, cauliflower, broccoli, and Chinese kale fields across four districts between April and September 2024. Molecular analysis identified three aphid species: Brevicoryne brassicae (38.2%), Myzus persicae (35.6%), and Lipaphis erysimi (26.2%). Intraspecific K2P distances ranged from 0.1% to 2.6%, with notably elevated divergence within M. persicae suggesting the presence of two cryptic lineages. Interspecific distances ranged from 12.3% to 16.8%. Phylogenetic analysis revealed strongly supported species-level clades, with the M. persicae clade subdividing into two distinct subclades corresponding to putative tobacco-adapted and crucifer-adapted host races. These findings highlight the value of molecular barcoding for detecting hidden diversity within morphologically uniform pest populations.

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

    • Cryptic species diversity occurs when genetically distinct lineages look identical, making it difficult to identify pests in agriculture. View evidence ↗

      Why it matters

      Cryptic species diversity occurs when genetically distinct lineages look identical, making it difficult to identify pests in agriculture.

      In the paper's own words

      “Cryptic species diversity, defined as the existence of morphologically indistinguishable yet genetically distinct lineages within a nominal taxon, poses significant challenges for pest identification in agricultural systems.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Identifying these cryptic populations is important because they can vary in how they prefer host plants, resist insecticides, and transmit pathogens. View evidence ↗

      Why it matters

      Identifying these cryptic populations is important because they can vary in how they prefer host plants, resist insecticides, and transmit pathogens.

      In the paper's own words

      “morphologically identical pest populations may differ substantially in their host plant preferences, insecticide resistance profiles, and pathogen transmission capabilities”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Highland agriculture in Chiang Mai Province, Thailand, relies heavily on cruciferous crops like cabbage, broccoli, cauliflower, and Chinese kale grown above 300 m. View evidence ↗

      Why it matters

      Highland agriculture in Chiang Mai Province, Thailand, relies heavily on cruciferous crops like cabbage, broccoli, cauliflower, and Chinese kale grown above 300 m.

      In the paper's own words

      “Cruciferous vegetable production in Chiang Mai Province constitutes an important component of highland agriculture in northern Thailand, with cabbage, cauliflower, broccoli, and Chinese kale representing the primary brassicaceous crops cultivated above 300 m elevation”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to use COI barcoding to identify aphid species and find hidden genetic variation among pests affecting cruciferous crops in Chiang Mai Province. View evidence ↗

      The question

      The study aimed to use COI barcoding to identify aphid species and find hidden genetic variation among pests affecting cruciferous crops in Chiang Mai Province.

      In the paper's own words

      “This research aimed to assess species diversity and detect cryptic genetic variation among aphid pests of cruciferous crops in Chiang Mai Province through COI barcoding.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • Researchers collected 174 aphid specimens from four districts in Chiang Mai between April and September 2024 from various cruciferous crops. View evidence ↗

      What they did

      Researchers collected 174 aphid specimens from four districts in Chiang Mai between April and September 2024 from various cruciferous crops.

      In the paper's own words

      “A total of 174 aphid specimens were collected from cabbage, cauliflower, broccoli, and Chinese kale fields across four districts between April and September 2024.”

      Page 1

      Found in: Material

      Read it in the full textOpen PDF at page 1 ↗
    • Genetic divergence was measured using K2P distances, and phylogenetic relationships were analyzed using neighbor-joining trees with 1,000 bootstrap replicates. View evidence ↗

      What they did

      Genetic divergence was measured using K2P distances, and phylogenetic relationships were analyzed using neighbor-joining trees with 1,000 bootstrap replicates.

      In the paper's own words

      “K2P distances were calculated [11], and neighbor-joining trees constructed with 1,000 bootstrap replicates [12].”

      Page 2

      Found in: Methods

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

    • The DNA sequencing process had a 90.2% success rate, yielding high-quality sequences for 157 of the 174 collected specimens. View evidence ↗

      What they found

      The DNA sequencing process had a 90.2% success rate, yielding high-quality sequences for 157 of the 174 collected specimens.

      In the paper's own words

      “Of 174 aphid specimens collected, 157 yielded high-quality COI sequences (90.2% success rate).”

      Page 2

      Found in: Methodological refinements

      Read it in the full textOpen PDF at page 2 ↗
    • Three species were identified: Brevicoryne brassicae (38.2%), Myzus persicae (35.6%), and Lipaphis erysimi (26.2%). View evidence ↗

      What they found

      Three species were identified: Brevicoryne brassicae (38.2%), Myzus persicae (35.6%), and Lipaphis erysimi (26.2%).

      In the paper's own words

      “Molecular analysis identified three aphid species: Brevicoryne brassicae (38.2%), Myzus persicae (35.6%), and Lipaphis erysimi (26.2%).”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • Interspecific genetic distances ranged from 12.3% to 16.8%, confirming clear molecular separation between the three species. View evidence ↗

      What they found

      Interspecific genetic distances ranged from 12.3% to 16.8%, confirming clear molecular separation between the three species.

      In the paper's own words

      “K2P distance analysis revealed interspecific distances of 14.6% (B. brassicae vs M. persicae), 12.3% (B. brassicae vs L. erysimi), and 16.8% (M. persicae vs L. erysimi).”

      Page 2

      Found in: Discussion

      Read it in the full textOpen PDF at page 2 ↗
    • Myzus persicae showed a bimodal distribution of genetic distances (0.1% to 2.6%), indicating the presence of two cryptic lineages. View evidence ↗

      What they found

      Myzus persicae showed a bimodal distribution of genetic distances (0.1% to 2.6%), indicating the presence of two cryptic lineages.

      In the paper's own words

      “intraspecific distances within M. persicae ranged from 0.1% to 2.6%, with a bimodal distribution suggesting the presence of two divergent lineages within this morphologically uniform species.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • M. persicae was split into two subclades with 2.4% divergence: Subclade I (32 specimens) preferred crucifers, while Subclade II (24 specimens) had a broader host range. View evidence ↗

      What they found

      M. persicae was split into two subclades with 2.4% divergence: Subclade I (32 specimens) preferred crucifers, while Subclade II (24 specimens) had a broader host range.

      In the paper's own words

      “Phylogenetic analysis confirmed the subdivision of M. persicae into two distinct subclades separated by 2.4% K2P divergence. Subclade I (n = 32) was predominantly associated with cruciferous hosts, while Subclade II (n = 24) showed a broader host association pattern”

      Page 3

      Found in: Methods

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

    • The authors recommend using molecular diagnostics in monitoring programs to distinguish M. persicae host races for better resistance and virus risk management. View evidence ↗

      What it means

      The authors recommend using molecular diagnostics in monitoring programs to distinguish M. persicae host races for better resistance and virus risk management.

      In the paper's own words

      “It is recommended that pest monitoring programmes in northern Thailand incorporate molecular diagnostics to distinguish M. persicae host races, enabling targeted resistance management and virus transmission risk assessment.”

      Page 4

      Found in: Conclusion

      Read it in the full textOpen PDF at page 4 ↗
    • The sequencing success rate was lower than in other insect groups because aphids' soft bodies make their DNA prone to degradation. View evidence ↗

      What it means

      The sequencing success rate was lower than in other insect groups because aphids' soft bodies make their DNA prone to degradation.

      In the paper's own words

      “The 90.2% sequencing success rate, while adequate, was lower than rates achieved in other insect groups in this research programme. Aphid specimens are prone to DNA degradation due to their soft body structure.”

      Page 4

      Found in: Methodological refinements

      Read it in the full textOpen PDF at page 4 ↗
    • Future work should use whole-genome sequencing and multi-locus approaches to better understand the reproductive isolation of M. persicae host races. View evidence ↗

      What it means

      Future work should use whole-genome sequencing and multi-locus approaches to better understand the reproductive isolation of M. persicae host races.

      In the paper's own words

      “Future research should employ multi-locus approaches and whole-genome sequencing to fully resolve the extent of reproductive isolation between M. persicae host races”

      Page 4

      Found in: Conclusion

      Read it in the full textOpen PDF at page 4 ↗

Visual summary

2 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (Myzus persicae aphids on cruciferous plants). It explains the idea and does not show study data.↗ Enlarge
Cryptic Lineages in M. persicae
AI-generated conceptual illustration (Myzus persicae aphids on cruciferous plants). It explains the idea and does not show study data.

AI-generated conceptual illustration (Myzus persicae aphids on cruciferous plants). It explains the idea and does not show study data.

Open full-size image ↗

Cryptic Lineages in M. persicae

AI-generated conceptual illustration (Myzus persicae aphids on cruciferous plants). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Abundance (%): Brevicoryne brassicae vs Myzus persicae vs Lipaphis erysimi
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Abundance (%): Brevicoryne brassicae vs Myzus persicae vs Lipaphis erysimi

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Ranked abundance and intraspecific genetic distances of aphid species from chiang mai cruciferous fieldsTable 1Page 2Summary statistics for myzus persicae subclades identified through COI barcodingTable 2Page 2Relative abundance of aphid pest species on cruciferous crops in Chiang Mai Province, ThailandFigure 1Page 2Distribution of aphid specimens across four sampling sites in chiang mai provinceFigure 2Page 3Heatmap of pairwise K2P interspecific genetic distances among three aphid speciesFigure 3Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Cryptic species diversity refers to the presence of genetically distinct evolutionary lineages that cannot be reliably distinguished through conventional morphological examination [1] . Among agricultural pest insects, the phenomenon of cryptic diversity has profound practical consequences, as morphologically identical pest populations may differ substantially in their host plant preferences, insecticide resistance profiles, and pathogen transmission capabilities [2, 3] . Aphids (Hemiptera: Aphididae) represent a taxonomic group in which cryptic diversity is particularly prevalent, owing to their small body size, limited diagnostic morphological features, and the confounding effects of polyphenism on external appearance [4] . Cruciferous vegetable production in Chiang Mai Province constitutes an important component of highland agriculture in northern Thailand, with cabbage, cauliflower, broccoli, and Chinese kale representing the primary brassicaceous crops cultivated above 300 m elevation [5] . The aphid pest complex on crucifers is dominated by specialist and generalist species whose accurate identification is essential for integrated pest management [3,6] . DNA barcoding using the COI gene provides a standardized approach for aphid species identification that can additionally reveal cryptic lineages within nominal species [1,7] . This research aimed to assess species diversity and detect cryptic genetic variation among aphid pests of cruciferous crops in Chiang Mai Province through COI barcoding. The objectives were to: (i) identify aphid species; (ii) quantify genetic divergence patterns; and (iii) evaluate evidence for cryptic lineages within morphologically uniform species.fenugreek, radish, coriander, and sunflower.

Material and Methods

Material and Methods

Material

Aphid specimens were collected from cruciferous vegetable fields in four districts of Chiang Mai Province, Thailand, between April and September 2024: Mae Rim (18.8969°N, 98.9512°E), San Sai (18.8475°N, 98.9965°E), Doi Saket (18.8766°N, 99.1531°E), and Hang Dong (18.6935°N, 98.9358°E). Host crops included cabbage, cauliflower, broccoli, and Chinese kale. Specimens were collected by leaf sampling and aspiration at biweekly intervals. Ethical approval was obtained from the Chiang Mai Research Center Ethics Committee (Protocol No. CMRC/AB/2024-008). Specimens were preserved in 95% ethanol.

Methods

DNA was extracted using the DNeasy Blood and Tissue Kit (Qiagen) with overnight proteinase K digestion. COI fragments were amplified using LCO1490/HCO2198 primers [8] in 25 μL reactions under cycling conditions of 94°C for 5 min, 35 cycles of 94°C for 30 s, 50°C for 40 s, and 72°C for 1 min, with final extension at 72°C for 10 min. Sequencing was performed bidirectionally on an ABI 3730xl analyzer. Sequences were edited in BioEdit v7.2.5, aligned in MEGA 11 [9] , and compared against BOLD and GenBank [10] . K2P distances were calculated [11] , and neighbor-joining trees constructed with 1,000 bootstrap replicates [12] . showed a broader host association pattern, consistent with the recognized tobacco-adapted and crucifer-adapted host races of M. persicae described in other geographic regions [4, 6] .

Results

Results

Discussion

This research provides the first molecular characterization of the aphid pest complex on cruciferous crops in Chiang Mai Province, revealing three species with evidence of cryptic lineage divergence within M. persicae.

The detection of two genetically distinct M. persicae subclades is consistent with host race differentiation documented globally in this species [4,6] . The 2.4% COI divergence between subclades approaches species delimitation thresholds applied in some aphid taxa [1,3] . The specialist species B. brassicae and L. erysimi exhibited lower intraspecific divergence, consistent with their restricted host ranges. Interspecific distances (12.3-16.8%) confirm unambiguous molecular separation [2,7] . The practical implications extend to resistance management, as tobacco-adapted M. persicae populations carry distinct resistance allele profiles [4] .

Virus transmission implications

The cryptic lineage structure within M. persicae has relevance for understanding differential virus transmission.

M. persicae transmits over 100 plant viruses, and host race identity may influence vector competence for specific viral pathogens affecting cruciferous crops in northern Thailand [3, 6] .

Methodological refinements

The 90.2% sequencing success rate, while adequate, was lower than rates achieved in other insect groups in this research programme. Aphid specimens are prone to DNA degradation due to their soft body structure. Future collections should prioritize immediate ethanol preservation and cold chain maintenance to improve sequencing yields [8,10] .

Conclusion

Aphid pests of cruciferous crops in Chiang Mai Province represent a constant threat to highland vegetable production, yet molecular characterization of this pest complex has been lacking until the present research. Three species were identified through COI barcoding, with the notable finding of cryptic lineage divergence within M. persicae corresponding to putative host-adapted races. Clear interspecific distances confirmed reliable species boundaries for all three taxa. It is recommended that pest monitoring programmes in northern Thailand incorporate molecular diagnostics to distinguish M. persicae host races, enabling targeted resistance management and virus transmission risk assessment.

Future research should employ multi-locus approaches and whole-genome sequencing to fully resolve the extent of reproductive isolation between M. persicae host races in Thai cruciferous production systems and determine whether host race identity influences vector competence for regionally important plant viruses.

Acknowledgement

AcknowledgementsThe authors acknowledge the Chiang Mai Research Center for providing laboratory infrastructure and field station access. S.C.-W. designed the research and drafted the manuscript; N.S.-K. conducted field sampling; K.T.-L. performed molecular and bioinformatic analyses. This research was funded by the Thailand Research Fund.

Figures and tables from the paper

Table 1. Ranked abundance and intraspecific genetic distances of aphid species from chiang mai cruciferous fields
RankSpeciesnAbundance (%)Host RangeIntra. Dist. (%)
1Brevicoryne brassicae6038.2Specialist0.1-1.3
2Myzus persicae5635.6Generalist0.1-2.6
3Lipaphis erysimi4126.2Specialist0.2-1.4

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

View original table image
Ranked abundance and intraspecific genetic distances of aphid species from chiang mai cruciferous fields↗ Enlarge
Table 1
Ranked abundance and intraspecific genetic distances of aphid species from chiang mai cruciferous fields

Ranked abundance and intraspecific genetic distances of aphid species from chiang mai cruciferous fields

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Table 2. Summary statistics for myzus persicae subclades identified through COI barcoding
M. persicae SubcladenMean Dist. (%)SDPrimary HostDivergence (%)
Subclade I (Crucifer)320.40.2Cabbage, Broccoli-
Subclade II (Generalist)240.60.3Cabbage, Pepper2.4 (vs Subclade I)

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

View original table image
Summary statistics for myzus persicae subclades identified through COI barcoding↗ Enlarge
Table 2
Summary statistics for myzus persicae subclades identified through COI barcoding

Summary statistics for myzus persicae subclades identified through COI barcoding

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Figure 1. Relative abundance of aphid pest species on cruciferous crops in Chiang Mai Province, Thailand
Relative abundance of aphid pest species on cruciferous crops in Chiang Mai Province, Thailand↗ Enlarge
Figure 1
Relative abundance of aphid pest species on cruciferous crops in Chiang Mai Province, Thailand

Relative abundance of aphid pest species on cruciferous crops in Chiang Mai Province, Thailand

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 2. Distribution of aphid specimens across four sampling sites in chiang mai province
Distribution of aphid specimens across four sampling sites in chiang mai province↗ Enlarge
Figure 2
Distribution of aphid specimens across four sampling sites in chiang mai province

Distribution of aphid specimens across four sampling sites in chiang mai province

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗
Figure 3. Heatmap of pairwise K2P interspecific genetic distances among three aphid species
Heatmap of pairwise K2P interspecific genetic distances among three aphid species↗ Enlarge
Figure 3
Heatmap of pairwise K2P interspecific genetic distances among three aphid species

Heatmap of pairwise K2P interspecific genetic distances among three aphid species

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

References

12 in the original paper
  1. Foottit RG, Maw HEL, Von Dohlen CD, Hebert PDN. Species identification of aphids through DNA barcodes. Mol Ecol Notes. 2008;8(5):1189-1201.
  2. Coeur d'Acier A, Cruaud A, Artige E, Genson G, Clamens AL, Pierre E, et al. DNA barcoding and the associated PhylAphidB@se website for the identification of European Aphididae. PLoS One. 2014;9(6):e97620.
  3. Blackman RL, Eastop VF. Aphids on the World's Crops: An Identification and Information Guide. 2nd ed. Chichester: Wiley; 2000.
  4. Sokefun OB, Benson GAS. DNA barcoding for deciphering the evolutionary lineages of five insect pests of horticultural crops in Ikorodu Local Government Area of Lagos State, Nigeria. Zool Entomol Lett. 2022;2(2):31-35.
  5. Saengyot S, Burikam I. Diversity and abundance of aphids on vegetables in Chiang Mai highlands. J Asia Pac Entomol. 2019;22(3):812-820.
  6. Bass C, Puinean AM, Zimber CT, Denholm I, Field LM, Foster SP, et al. The evolution of insecticide resistance in the peach potato aphid, Myzus persicae. Insect Mol Biol. 2014;23(1):2-20.
  7. Hebert PDN, Cywinska A, Ball SL, deWaard JR. Biological identifications through DNA barcodes. Proc R Soc Lond B Biol Sci. 2003;270(1512):313-321.
  8. Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol Mar Biol Biotechnol. 1994;3(5):294299.
  9. Tamura K, Stecher G, Kumar S. MEGA11: Molecular Evolutionary Genetics Analysis version 11. Mol Biol Evol. 2021;38(7):3022-3027.
  10. Ratnasingham S, Hebert PDN. BOLD: The Barcode of Life Data System. Mol Ecol Notes. 2007;7(3):355-364.
  11. Kimura M. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980;16(2):111-120.
  12. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4(4):406-425.