As the world's second largest timber importer, wood demand in China has been growing extremely rapidly, leading to an increase of 163% from 2009 to 2018. The plant quarantine pest H. ligniperda Fabricius, 1787 is an invasive species frequently intercepted at ports. H. ligniperda causes damage mainly to pine and spruce. To improve the efficiency of on-site inspection and the efficacy of early detection, tight quarantine in ports, time-effective identification, and a national surveillance program for high-risk invasive bark beetles are in urgent need. In this study, a simple, fast and accurate classification method for H. ligniperda is established based on the enzyme-mediated duplex exponential amplification (EmDEA) technique. Partial region from inhibitor of apoptosis 2 (IAP2) gene was selected as the target and 6 primer/probe combinations were designed. Through selection, the combination of 3-HY-F3, 3-HY-R2 and 3-HY-RNA5 was chosen as the final primer-probe set, as it showed the lowest Ct with highest final fluorescence signal. Method validation and specificity test using 6 other beetle species living on coniferous wood showed that this method is result reliable and specific. Through parameter analysis with positive plasmid, the detection limit was calculated to be 13.6 copies/μL (9×10-7 ng DNA/ reaction), much higher than conventional molecular methods such as PCR. The whole process including isothermal amplification, data analysis, and result output can be finished in 30 min, which is highly time-effective. Besides, the operation is simple and little training is needed for non-professionals. The application prospects of this rapid screening system include customs screening in ports, wild survey in non-lab situations and early warning system development. The new analysis platform EmDEA, can also be implemented in rapid detection and identification of other forestry pests.
Published in | American Journal of Entomology (Volume 8, Issue 3) |
DOI | 10.11648/j.aje.20240803.14 |
Page(s) | 102-108 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Enzyme-Mediated Duplex Exponential Amplification, Rapid Screening, Quarantine Plant Pest, H. ligniperda Fabricius, 1787
No. | Order, Family | Species | Host | Origin |
---|---|---|---|---|
1 | Coleoptera, Curculionidae | H. ligniperda Fabricius, 1787 | Pinus radiata | Reserved sample |
2 | Coleoptera, Curculionidae | H. ligniperda Fabricius, 1787 | / | Reserved sample |
3 | Coleoptera, Curculionidae | H. ligniperda Fabricius, 1787 | Pinus radiata | Reserved sample |
4 | Coleoptera, Curculionidae | H. ligniperda Fabricius, 1787 | Pinus sylvestris | Reserved sample |
5 | Coleoptera, Curculionidae | H. ligniperda Fabricius, 1787 | / | Reserved sample |
6 | Coleoptera, Curculionidae | H. ligniperda Fabricius, 1787 | Pinus radiata | Reserved sample |
7 | Coleoptera, Curculionidae | H. ligniperda Fabricius, 1787 | Pinus radiata | Reserved sample |
8 | Coleoptera, Curculionidae | H. ligniperda Fabricius, 1787 | Pinus radiata | Reserved sample |
9 | Coleoptera, Curculionidae | H. ligniperda Fabricius, 1787 | Pinus radiata | Reserved sample |
10 | Coleoptera, Curculionidae | H. ligniperda Fabricius, 1787 | Pinus radiata | Reserved sample |
11 | Coleoptera, Scolytidae | I. grandicollis Eichhoff | Pinus taeda | Donated by Guangzhou Customs |
12 | Coleoptera, Curculionidae | X. compactus Eichhoff, 1875 | Rhododendron simsii | Reserved sample |
13 | Coleoptera, Curculionidae | X. germanus Blandford | / | Reserved sample |
14 | Coleoptera, Curculionidae | X. crassiusculus Motschulsky | / | Donated by Guangzhou Customs |
15 | Coleoptera, Scolytidae | I. calligraphus Germar | / | Reserved sample |
16 | Coleoptera, Scolytidae | I. typographus L. | Picea asperata | Donated by Nanjing Customs |
No. | Combination | RNA probe | Upstream Primer | Downstream Primers |
---|---|---|---|---|
1 | RNA1F3R3 | 3-HY-RNA1 | 3-HY-F3 | 3-HY-R3 |
2 | RNA1F3R4 | 3-HY-RNA1 | 3-HY-F3 | 3-HY-R4 |
3 | RNA1F4R3 | 3-HY-RNA1 | 3-HY-F4 | 3-HY-R3 |
4 | RNA1F4R4 | 3-HY-RNA1 | 3-HY-F4 | 3-HY-R4 |
5 | RNA2F3R3 | 3-HY-RNA2 | 3-HY-F3 | 3-HY-R3 |
6 | RNA2F3R4 | 3-HY-RNA2 | 3-HY-F3 | 3-HY-R4 |
7 | RNA2F4R3 | 3-HY-RNA2 | 3-HY-F4 | 3-HY-R3 |
8 | RNA2F4R4 | 3-HY-RNA2 | 3-HY-F4 | 3-HY-R4 |
9 | RNA3F3R3 | 3-HY-RNA3 | 3-HY-F3 | 3-HY-R3 |
10 | RNA3F3R4 | 3-HY-RNA3 | 3-HY-F3 | 3-HY-R4 |
11 | RNA3F4R3 | 3-HY-RNA3 | 3-HY-F4 | 3-HY-R3 |
12 | RNA3F4R4 | 3-HY-RNA3 | 3-HY-F4 | 3-HY-R4 |
13 | RNA4F3R3 | 3-HY-RNA4 | 3-HY-F3 | 3-HY-R3 |
14 | RNA4F3R4 | 3-HY-RNA4 | 3-HY-F3 | 3-HY-R4 |
15 | RNA4F4R3 | 3-HY-RNA4 | 3-HY-F4 | 3-HY-R3 |
16 | RNA4F4R4 | 3-HY-RNA4 | 3-HY-F4 | 3-HY-R4 |
17 | RNA5F3R3 | 3-HY-RNA5 | 3-HY-F3 | 3-HY-R3 |
18 | RNA5F3R4 | 3-HY-RNA5 | 3-HY-F3 | 3-HY-R4 |
19 | RNA5F4R3 | 3-HY-RNA5 | 3-HY-F4 | 3-HY-R3 |
20 | RNA5F4R4 | 3-HY-RNA5 | 3-HY-F4 | 3-HY-R4 |
21 | RNA6F3R3 | 3-HY-RNA6 | 3-HY-F3 | 3-HY-R3 |
22 | RNA6F3R4 | 3-HY-RNA6 | 3-HY-F3 | 3-HY-R4 |
23 | RNA6F4R3 | 3-HY-RNA6 | 3-HY-F4 | 3-HY-R3 |
24 | RNA6F4R4 | 3-HY-RNA6 | 3-HY-F4 | 3-HY-R4 |
Primer | Sequence (5'-3') | |
---|---|---|
Upstream Primer | 3-HY-F1 | AAGCTAATACGACTCACTATAGGGCAGACTCCAGACATACTGGCGCAAGCAG |
3-HY-F2 | AAGCTAATACGACTCACTATAGGGCCAGACATACTGGCGCAAGCAGGATTTT | |
3-HY-F3 | AAGCTAATACGACTCACTATAGGGATACTGGCGCAAGCAGGATTTTACTATG | |
3-HY-F4 | AAGCTAATACGACTCACTATAGGGGCGCAAGCAGGATTTTACTATGAAGGTA | |
3-HY-F5 | AAGCTAATACGACTCACTATAGGGTCATTGGTTTACTCTATAGAGCCAAAGT | |
3-HY-F6 | AAGCTAATACGACTCACTATAGGGGTTTACTCTATAGAGCCAAAGTTTCACT | |
Downstream primers | 3-HY-R1 | CTAGTCCTAAAACAGTACTTTTCTTATT |
3-HY-R2 | GATCGCCTAGTCCTAAAACAGTACTTTT | |
3-HY-R3 | GCACCTGATCGCCTAGTCCTAAAACAGT | |
3-HY-R4 | AACATCGCACCTGATCGCCTAGTCCTAA | |
3-HY-R5 | AATGGAAACATCGCACCTGATCGCCTAG | |
3-HY-R6 | CATCACAATGGAAACATCGCACCTGATC | |
RNA probe | 3-HY-RNA1 | FAM-UUGAGUAAAUCAAGGAAUUGUCCUGAAG-BHQ1 |
3-HY-RNA2 | FAM-GCUUGUUUGAGUAAAUCAAGGAAUUGUC-BHQ1 | |
3-HY-RNA3 | FAM-UUCUGUGCUUGUUUGAGUAAAUCAAGGA-BHQ1 | |
3-HY-RNA4 | FAM-GGGCAUUUCUGUGCUUGUUUGAGUAAAU-BHQ1 | |
3-HY-RNA5 | FAM-AAAAUGGGGCAUUUCUGUGCUUGUUUGA-BHQ1 | |
3-HY-RNA6 | FAM-GAGUUGAAAAUGGGGCAUUUCUGUGCUU-BHQ1 | |
Sequences with underlines are T7 promoter. |
EmDEA | Enzyme-Mediated Duplex Exponential Amplification |
MALDI-TOF MS | Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry |
DNA | Deoxyribonucleic Acid |
PCR | Polymerase Chain Reaction |
IAP2 | Inhibitor of Apoptosis 2 |
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APA Style
Jiaying, W., Junxia, C., Shuyi, Y., Li, L., Xianfeng, C. (2024). Enzyme-Mediated Duplex Exponential Amplification: A New Platform for Rapid Screening of Hylurgus ligniperda. American Journal of Entomology, 8(3), 102-108. https://doi.org/10.11648/j.aje.20240803.14
ACS Style
Jiaying, W.; Junxia, C.; Shuyi, Y.; Li, L.; Xianfeng, C. Enzyme-Mediated Duplex Exponential Amplification: A New Platform for Rapid Screening of Hylurgus ligniperda. Am. J. Entomol. 2024, 8(3), 102-108. doi: 10.11648/j.aje.20240803.14
AMA Style
Jiaying W, Junxia C, Shuyi Y, Li L, Xianfeng C. Enzyme-Mediated Duplex Exponential Amplification: A New Platform for Rapid Screening of Hylurgus ligniperda. Am J Entomol. 2024;8(3):102-108. doi: 10.11648/j.aje.20240803.14
@article{10.11648/j.aje.20240803.14, author = {Wang Jiaying and Cui Junxia and Yan Shuyi and Liu Li and Chen Xianfeng}, title = {Enzyme-Mediated Duplex Exponential Amplification: A New Platform for Rapid Screening of Hylurgus ligniperda }, journal = {American Journal of Entomology}, volume = {8}, number = {3}, pages = {102-108}, doi = {10.11648/j.aje.20240803.14}, url = {https://doi.org/10.11648/j.aje.20240803.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aje.20240803.14}, abstract = {As the world's second largest timber importer, wood demand in China has been growing extremely rapidly, leading to an increase of 163% from 2009 to 2018. The plant quarantine pest H. ligniperda Fabricius, 1787 is an invasive species frequently intercepted at ports. H. ligniperda causes damage mainly to pine and spruce. To improve the efficiency of on-site inspection and the efficacy of early detection, tight quarantine in ports, time-effective identification, and a national surveillance program for high-risk invasive bark beetles are in urgent need. In this study, a simple, fast and accurate classification method for H. ligniperda is established based on the enzyme-mediated duplex exponential amplification (EmDEA) technique. Partial region from inhibitor of apoptosis 2 (IAP2) gene was selected as the target and 6 primer/probe combinations were designed. Through selection, the combination of 3-HY-F3, 3-HY-R2 and 3-HY-RNA5 was chosen as the final primer-probe set, as it showed the lowest Ct with highest final fluorescence signal. Method validation and specificity test using 6 other beetle species living on coniferous wood showed that this method is result reliable and specific. Through parameter analysis with positive plasmid, the detection limit was calculated to be 13.6 copies/μL (9×10-7 ng DNA/ reaction), much higher than conventional molecular methods such as PCR. The whole process including isothermal amplification, data analysis, and result output can be finished in 30 min, which is highly time-effective. Besides, the operation is simple and little training is needed for non-professionals. The application prospects of this rapid screening system include customs screening in ports, wild survey in non-lab situations and early warning system development. The new analysis platform EmDEA, can also be implemented in rapid detection and identification of other forestry pests. }, year = {2024} }
TY - JOUR T1 - Enzyme-Mediated Duplex Exponential Amplification: A New Platform for Rapid Screening of Hylurgus ligniperda AU - Wang Jiaying AU - Cui Junxia AU - Yan Shuyi AU - Liu Li AU - Chen Xianfeng Y1 - 2024/08/27 PY - 2024 N1 - https://doi.org/10.11648/j.aje.20240803.14 DO - 10.11648/j.aje.20240803.14 T2 - American Journal of Entomology JF - American Journal of Entomology JO - American Journal of Entomology SP - 102 EP - 108 PB - Science Publishing Group SN - 2640-0537 UR - https://doi.org/10.11648/j.aje.20240803.14 AB - As the world's second largest timber importer, wood demand in China has been growing extremely rapidly, leading to an increase of 163% from 2009 to 2018. The plant quarantine pest H. ligniperda Fabricius, 1787 is an invasive species frequently intercepted at ports. H. ligniperda causes damage mainly to pine and spruce. To improve the efficiency of on-site inspection and the efficacy of early detection, tight quarantine in ports, time-effective identification, and a national surveillance program for high-risk invasive bark beetles are in urgent need. In this study, a simple, fast and accurate classification method for H. ligniperda is established based on the enzyme-mediated duplex exponential amplification (EmDEA) technique. Partial region from inhibitor of apoptosis 2 (IAP2) gene was selected as the target and 6 primer/probe combinations were designed. Through selection, the combination of 3-HY-F3, 3-HY-R2 and 3-HY-RNA5 was chosen as the final primer-probe set, as it showed the lowest Ct with highest final fluorescence signal. Method validation and specificity test using 6 other beetle species living on coniferous wood showed that this method is result reliable and specific. Through parameter analysis with positive plasmid, the detection limit was calculated to be 13.6 copies/μL (9×10-7 ng DNA/ reaction), much higher than conventional molecular methods such as PCR. The whole process including isothermal amplification, data analysis, and result output can be finished in 30 min, which is highly time-effective. Besides, the operation is simple and little training is needed for non-professionals. The application prospects of this rapid screening system include customs screening in ports, wild survey in non-lab situations and early warning system development. The new analysis platform EmDEA, can also be implemented in rapid detection and identification of other forestry pests. VL - 8 IS - 3 ER -