Juil Kim1,2, Hwa Y Nam1,2, Min Kwon2, Hyun J Kim3, Hwi J Yi4, Sabine Haenniger5, Melanie Unbehend5, David G Heckel5. 1. Program of Applied Biology, Division of Bio-resource Sciences, College of Agriculture and Life Science, Kangwon National University, Chuncheon, Republic of Korea. 2. Highland Agriculture Research Institute, National Institute of Crop Science, RDA, Pyeongchang, Republic of Korea. 3. Crop foundation Division, National Institute of Crop Science, RDA, Wanju, Republic of Korea. 4. Crop Production Technology Research Division, National Institute of Crop Science, RDA, Miryang, Republic of Korea. 5. Department of Entomology, Max Planck Institute for Chemical Ecology, Jena, Germany.
Abstract
BACKGROUND: The fall armyworm, Spodoptera frugiperda is a native species of the Americas. First detected in western and central Africa in early 2016, it has become one of the most serious invasive lepidopteran pests in many African and Asian countries. S. frugiperda has spread very quickly; however, there are no molecular-based, simple and accurate diagnostic tools for identification of this species in the field. Methods to identify invasive S. frugiperda are urgently needed because farmers and agricultural managers have no prior experience with this pest. RESULTS: Based on mitochondrial genome sequence alignment, a S. frugiperda-specific sequence region was identified in the transfer RNA-coding region between NADH dehydrogenase, ND3, and ND5. Using this unique region, species-diagnostic primers were designed and applied in a loop-mediated isothermal amplification (LAMP) assay and a conventional polymerase chain reaction to identify field-collected samples of S. frugiperda. The optimal incubation conditions for the LAMP assay were 61°C for 90 min with four LAMP primers; an additional loop primer increased the amplification efficiency. A response was obtained for a wide range of DNA concentrations in the LAMP assay and the minimum detectable DNA concentration was 10 pg. CONCLUSIONS: We developed a new LAMP-based molecular diagnostic method that it is easy to use and accurate. The LAMP assay was used with a DNA-releasing technique for larval and adult samples, without a DNA extraction step, by incubating the tissue sample at 95°C for 5 min. This method can be applied in intensive field monitoring of S. frugiperda and its ecological studies.
BACKGROUND: The fall armyworm, Spodoptera frugiperda is a native species of the Americas. First detected in western and central Africa in early 2016, it has become one of the most serious invasive lepidopteran pests in many African and Asian countries. S. frugiperda has spread very quickly; however, there are no molecular-based, simple and accurate diagnostic tools for identification of this species in the field. Methods to identify invasive S. frugiperda are urgently needed because farmers and agricultural managers have no prior experience with this pest. RESULTS: Based on mitochondrial genome sequence alignment, a S. frugiperda-specific sequence region was identified in the transfer RNA-coding region between NADH dehydrogenase, ND3, and ND5. Using this unique region, species-diagnostic primers were designed and applied in a loop-mediated isothermal amplification (LAMP) assay and a conventional polymerase chain reaction to identify field-collected samples of S. frugiperda. The optimal incubation conditions for the LAMP assay were 61°C for 90 min with four LAMP primers; an additional loop primer increased the amplification efficiency. A response was obtained for a wide range of DNA concentrations in the LAMP assay and the minimum detectable DNA concentration was 10 pg. CONCLUSIONS: We developed a new LAMP-based molecular diagnostic method that it is easy to use and accurate. The LAMP assay was used with a DNA-releasing technique for larval and adult samples, without a DNA extraction step, by incubating the tissue sample at 95°C for 5 min. This method can be applied in intensive field monitoring of S. frugiperda and its ecological studies.
Authors: Arati Agarwal; Lea Rako; Mark K Schutze; Melissa L Starkie; Wee Tek Tay; Brendan C Rodoni; Mark J Blacket Journal: Sci Rep Date: 2022-01-21 Impact factor: 4.996