Molecular identification of scale insect (Eulecanium giganteum) in Hibiscus rosa-sinensis
DOI:
https://doi.org/10.18006/2022.10(4).797.804Keywords:
Insect DNA, MtCOI, PCR, Pest management, Sap-sucking pest, SequencingAbstract
Hibiscus rosa-sinensis is a widely grown evergreen valuable medicinal, ornamental species planted in India. Scale insects are small herbivorous insects found on all continents and they are serious sap sucking pests of many ornamental plants. These scale insects are undetectable due to their tiny size, basic morphology, and polyphagous feeding nature. Hence, the management of these tiny insects become a serious concern across the globe. To afford a prospective solution to the problem, an accurate, simple, and developmental-stage-independent identification method is required, hence this study attempted the molecular identification of scale insect in Hibiscus rosa-sinensis using mitochondrial gene Cytochrome Oxidase Subunit I (mtCOI) sequencing. The experiment was carried out by isolating insect DNA using a modified CTAB method. Through two or three rounds of error-prone PCR followed by a steady procedure to amplify a mtCOI region. This region of mtCOI has been used as a standard DNA barcode for a diverse array of taxa. The confirmation has been done by sequencing of mtCOI which suggest the highest similarities with Eulecanium giganteum. This study addresses the questions of biodiversity and molecular characterization of scale insects. Further, the information obtained in this study provides baseline data for future crop improvement programs and integrated pest management strategies.
References
Aljanabi, S. M., & Martinez, I. (1997). Universal and rapid salt-extraction of high quality genomic DNA for PCR-based techniques. Nucleic Acids Research, 25, 4692-4693. https://doi.org/10.1093/nar/25.22.4692. DOI: https://doi.org/10.1093/nar/25.22.4692
Ben-Dov, Y., & Hodgson, C. (1997). Soft scale insects: their biology, natural enemies and control. World Crop Pests, 7b, 3-442. DOI: https://doi.org/10.1016/S1572-4379(97)80039-5
Borden, M. A., & Dale, A. G. (2020). Native and Edible Ornamental Plant Congeners Enhance Ecosystem Services Through Key Pest Avoidance and Multifunctionality in Residential Landscapes. Environmental Entomology, 49, 1206-1213. DOI: https://doi.org/10.1093/ee/nvaa099
Choi J., & Lee, S. (2019). Molecular phylogeny of the family Coccidae (Hemiptera, Coccomorpha), with a discussion of their waxy ovisacs. Systemic Ecology, 45, 396-414. DOI: https://doi.org/10.1111/syen.12404
Chua T. H. (1997). Soft Scale Insects their Biology, Natural Enemies and Control World Crop Pests. World Crop Pests, 7, 395-399. DOI: https://doi.org/10.1016/S1572-4379(97)80101-7
Deng, J., Yu, F., Zhang, T. X., Hu, H. Y., et al. (2012). DNA barcoding of six Ceroplastes species (Hemiptera: Coccoidea: Coccidae) from China. Molecular Ecology Resources, 12, 791-6. doi: 10.1111/j.1755-0998.2012.03152.x. DOI: https://doi.org/10.1111/j.1755-0998.2012.03152.x
Engstrand, R. C., Tovar, J. C., Jaramillo, A. C., Kolokotronis, S. O. (2010). Genetic variation in avocado stem weevils Copturus aguacatae (Coleoptera: Curculionidae) in Mexico. Mitochondrial DNA, 21, 38-43. DOI: https://doi.org/10.3109/19401736.2010.536226
Farris, R. E., Ruiz-Arce, R., Ciomperlik. M., Vasquez, J. D., et al. (2010). Development of a Ribosomal DNA ITS2 Marker for the Identification of the Thrips, Scirtothrips dorsalis. Journal of Insect Science, 10, 1-15. DOI: https://doi.org/10.1673/031.010.2601
Folmer, O., Black, M., & Hoeh, W. (1994). DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Molecular Marine Biology and Biotechnology, 3, 294-299.
Hebert, P. D. N., Cywinska, A., Ball, S. L., & deWaard, J. R. (2003). Biological identifications through DNA barcodes. Proceedings of the Royal Society B: Biological Sciences, 270, 313-321. DOI: https://doi.org/10.1098/rspb.2002.2218
Hollingsworth, P. M., Graham, S. W., & Little, D. P. (2011). Choosing and Using a Plant DNA Barcode. PLoS ONE, 6, e19254. https://doi.org/10.1371/journal.pone.0019254. DOI: https://doi.org/10.1371/journal.pone.0019254
Javal, M., Terblanche, J. S., Conlong, D. E., Delahaye, N., et al. (2021). DNA barcoding for bio-surveillance of emerging pests and species identification in Afrotropical Prioninae (Coleoptera, Cerambycidae). Biodiversity Data Journal, 9, e64499. DOI: https://doi.org/10.3897/BDJ.9.e64499
Kanthesh, B. M., & Bhuvaneswari, G. (2021). Miracles hidden amongst the common medicinal plants India. Green Trust – India.
Karimi, J., Hassani-Kakhki, M., & Awal, M. M. (2010). Identifying thrips (Insecta: Thysanoptera) using DNA Barcodes. Journal of Cell and Molecular Research, 2, 35-41.
Li, Z. W., Jia, W. J., Qiao, S. Z., Li, G. M., et al. (2002). Study on biological characteristics and control techniques of Eulecanium giganteum. Ningxia Journal of Agriculture and Forestry Science and Technology, 4, 25-26.
Missoum, A. (2018). An update review on Hibiscus rosa sinensis phytochemistry and medicinal uses. Journal of Ayurvedic and Herbal Medicine, 4(3), 135-146. https://doi.org/10.31254/ jahm.2018.4308. DOI: https://doi.org/10.31254/jahm.2018.4308
Quesada, C. R., Scharf, M. E., & Sadof, C. S. (2020). Excretion of non-metabolized insecticides in honeydew of striped pine scale. Chemosphere, 249, 126167. DOI: https://doi.org/10.1016/j.chemosphere.2020.126167
Rodrigues, M. S., Morelli, K. A. & Jansen, A. M. (2017). Cytochrome c oxidase subunit 1 gene as a DNA barcode for discriminating Trypanosoma cruzi DTUs and closely related species. Parasites Vectors, 10, 488. https://doi.org/10.1186/ s13071-017-2457-1 DOI: https://doi.org/10.1186/s13071-017-2457-1
Saghai-Maroof, M. A., Solima, K. M., Jorgenson, R. A., & Allard, A. W. (1984). Ribosomal DNA spacer-length polymorphisms in barley: Mendelian inheritance, chromosomal location, and population dynamics. Proceedings National Academic Sciences, USA, 81, 8014-8018. DOI: https://doi.org/10.1073/pnas.81.24.8014
Seifert, K. A., Samson, R. A., Dewaard, J. R., & Houbraken, J. (2007). Prospects for fungus identification using COI DNA barcodes: with Penicillium as a test case study. Proceedings of the National Academy of Sciences of the United States of America, 104, 3901-3906. DOI: https://doi.org/10.1073/pnas.0611691104
Sharma, R., Sharma, A., & Nadda, G. (2019). Molecular identification of a parasitoid from Pulvinaria floccifera infesting kangra tea of Himachal Pradesh, India. Research journal of life science, bioinformatics, pharmaceuticals and chemical science, 5(1), 407-411.
Shashi, A., Sanjay Kumar, J., Amita, V., Mayank, K., et al. (2013). Pathophysiology of kidney, gallbladder and urinary stones treatment with herbal and allopathic medicine: A review. Asian Pacific Journal of Tropical Disease, 3, 496-504. doi: 10.1016/S2222-1808(13)60107-3 DOI: https://doi.org/10.1016/S2222-1808(13)60107-3
Suganthi, M., Arvinth, S., Chandrashekara, K. N., & Raj Kumar, R. (2016). Molecular characterization of tea mosquito bug from tea growing regions of India. Mitochondrial DNA, 27, 3504-3506. DOI: https://doi.org/10.3109/19401736.2015.1066369
Tamura, K., Dudley, J., Nei, M., & Kumar, S. (2007). MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Molecular Biology and Evolution, 24, 1596-1599. DOI: https://doi.org/10.1093/molbev/msm092
Watson, G. W., & Kubiriba, J. (2005). Identification of mealybugs (Hemiptera: Pseudococcidae) on banana and plantain in Africa. African Entomology, 13, 35-47.
Wilson, A. C., Cann, R. L., Carr, S. M., George, M., et al. (1985). Milochondrial DNA and two perspectives on evolutionary genetics. Biological Journal of the Linnean Society, 26, 375-400. DOI: https://doi.org/10.1111/j.1095-8312.1985.tb02048.x
Xie, Y. P., Xue, J. L., & Zheng, L. Y. (2006). Wax secretions of soft scale insects: their ultrastructure and chemical composition.
China Forestry Publishing House Beijing China.
Zonglin, W., Shaohua, L., Jiying, L., Shiyuan, M., et al. (2021). Morphological and molecular identification of Xylocoris flavipes (Hemiptera: Anthocoridae) in southern China. Grain & Oil Science and Technology, 4, 26-32. DOI: https://doi.org/10.1016/j.gaost.2020.11.003
Downloads
Published
How to Cite
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.