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The evolutionary process of invasion in the fall armyworm (Spodoptera frugiperda)

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  • Pimentel, D. et al. Economic and environmental threats of alien plant, animal, and microbe invasions. Agric. Ecosyst. Environ. 84, 1–20 (2001).

    Article 

    Google Scholar 

  • Hulme, P. E. Trade, transport and trouble: managing invasive species pathways in an era of globalization. J. Appl. Ecol. 46, 10–18 (2009).

    Article 

    Google Scholar 

  • Bebber, D. P., Holmes, T. & Gurr, S. J. The global spread of crop pests and pathogens. Glob. Ecol. Biogeogr. 23, 1398–1407 (2014).

    Article 

    Google Scholar 

  • Diagne, C. et al. High and rising economic costs of biological invasions worldwide. Nature 592, 571–576 (2021).

    Article 

    Google Scholar 

  • McNeely, J. A. As the world gets smaller, the chances of invasion grow. Euphytica 148, 5–15 (2006).

    Article 

    Google Scholar 

  • Seebens, H. et al. Global rise in emerging alien species results from increased accessibility of new source pools. Proc. Natl. Acad. Sci. USA 115, E2264–E2273 (2018).

    Article 

    Google Scholar 

  • Roques, A. et al. Temporal and interspecific variation in rates of spread for insect species invading Europe during the last 200 years. Biol. Invasions 18, 907–920 (2016).

    Article 

    Google Scholar 

  • de Poorter, M. & Browne, M. The Global Invasive Species Database (GISD) and international information exchange: Using global expertise to help in the fight against invasive alien species. Plant Prot. Plant Health Eur. 9–11, 49–54 (2005).

    Google Scholar 

  • Tay, W. T. & Gordon, K. H. J. Going global: Genomic insights into insect invasions. Curr. Opin. Insect Sci. 31, 123–130 (2019).

    Article 

    Google Scholar 

  • Paini, D. R. et al. Global threat to agriculture from invasive species. Proc. Natl. Acad. Sci. USA 113, 7575–7579 (2016).

    Article 

    Google Scholar 

  • Prentis, P. J., Wilson, J. R. U., Dormontt, E. E., Richardson, D. M. & Lowe, A. J. Adaptive evolution in invasive species. Trends Plant Sci. 13, 288–294 (2008).

    Article 

    Google Scholar 

  • Bertelsmeier, C. Globalization and the anthropogenic spread of invasive social insects. Curr. Opin. Insect Sci. 46, 16–23 (2021).

    Article 

    Google Scholar 

  • Crawley, M. J. et al. The population biology of invaders. Philos. Trans. R. Soc. Lond. B 314, 711–731 (1986).

    Article 

    Google Scholar 

  • Petren, K. & Case, T. J. An experimental demonstration of exploitation competition in an ongoing invasion. Ecology 77, 118–132 (1996).

    Article 

    Google Scholar 

  • Kowarik, I. Time lags in biological invasions with regard to the success and failure of alien species. Plant Invasions Gen. Asp. Spec. Probl. 1, 15–38 (1995).

    Google Scholar 

  • Andrews, K. L. The whorlworm, Spodoptera frugiperda. Cent. Am. Neighb. Areas Fla. Entomol. 63, 456–467 (1980).

    Article 

    Google Scholar 

  • Sparks, A. N. A review of the biology of the fall armyworm. Fla. Entomol. 1, 82–87 (1979).

    Article 

    Google Scholar 

  • Westbrook, J. K., Nagoshi, R. N., Meagher, R. L., Fleischer, S. J. & Jairam, S. Modeling seasonal migration of fall armyworm moths. Int. J. Biometeorol. 60, 255–267 (2016).

    Article 

    Google Scholar 

  • Gutiérrez-Moreno, R. et al. Field-evolved resistance of the Fall Armyworm (Lepidoptera: Noctuidae) to synthetic insecticides in Puerto Rico and Mexico. J. Econ. Entomol. 112, 792–802 (2019).

    Article 

    Google Scholar 

  • Blanco, C. A. et al. Susceptibility of isofamilies of Spodoptera frugiperda (Lepidoptera: Noctuidae) to Cry1Ac and Cry1Fa proteins of Bacillus thuringiensis. Southw. Entomol. 35, 409–416 (2010).

    Article 

    Google Scholar 

  • Storer, N. P. et al. Discovery and characterization of field resistance to Bt maize: Spodoptera frugiperda (Lepidoptera: Noctuidae) in Puerto Rico. J. Econ. Entomol. 103, 1031–1038 (2010).

    Article 

    Google Scholar 

  • Chandrasena, D. I. et al. Characterization of field-evolved resistance to Bacillus thuringiensis-derived Cry1F δ-endotoxin in Spodoptera frugiperda populations from Argentina. Pest Manag. Sci. 74, 746–754 (2018).

    Article 

    Google Scholar 

  • Pashley, D. P. Host-associated genetic differentiation in fall armyworm (Lepidoptera: Noctuidae): A sibling species complex?. Ann. Entomol. Soc. Am. 79, 898–904 (1986).

    Article 

    Google Scholar 

  • Pashley, D. P. & Martin, J. A. Reproductive incompatibility between host strains of the Fall Armyworm (Lepidoptera: Noctuidae). Ann. Entomol. Soc. Am. 80, 731–733 (1987).

    Article 

    Google Scholar 

  • Dumas, P. et al. Spodoptera frugiperda (Lepidoptera: Noctuidae) host-plant variants: Two host strains or two distinct species?. Genetica 143, 305–316 (2015).

    Article 

    Google Scholar 

  • Lu, Y. J., Kochert, G. D., Isenhour, D. J. & Adang, M. J. Molecular characterization of a strain-specific repeated DNA sequence in the fall armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae). Insect Mol. Biol. 3, 123–130 (1994).

    Article 

    Google Scholar 

  • Pashley, D. P. Host-associated differentiation in armyworms (Lepidoptera: Noctuidae): An allozymic and mtDNA perspective. in Electrophoretic Studies on Agricultural Pests, vol. 39, 103–114 (Clarendon Press, 1989).

  • Nagoshi, R. N. The fall armyworm Triosephosphate Isomerase (Tpi) gene as a marker of strain identity and interstrain mating. Ann. Entomol. Soc. Am. 103, 283–292 (2010).

    Article 

    Google Scholar 

  • Dumas, P. et al. Phylogenetic molecular species delimitations unravel potential new species in the pest genus Spodoptera Guenée, 1852 (Lepidoptera, Noctuidae). PLoS ONE 10, e0122407 (2015).

    Article 

    Google Scholar 

  • Goergen, G., Kumar, P. L., Sankung, S. B., Togola, A. & Tamò, M. First report of outbreaks of the Fall Armyworm Spodoptera frugiperda (J E Smith) (Lepidoptera, Noctuidae), a new alien invasive pest in West and Central Africa. PLoS ONE 11, e0165632 (2016).

    Article 

    Google Scholar 

  • Day, R. et al. Fall armyworm: impacts and implications for Africa. Outlooks Pest Manag. 28, 196–201 (2017).

    Article 

    Google Scholar 

  • Nuss, E. T. & Tanumihardjo, S. A. Maize: A paramount staple crop in the context of global nutrition. Compr. Rev. Food Sci. Food Saf. 9, 417–436 (2010).

    Article 

    Google Scholar 

  • Zhang, L. et al. Genetic structure and insecticide resistance characteristics of fall armyworm populations invading China. Mol. Ecol. Resour. 20, 1682–1696 (2020).

    Article 

    Google Scholar 

  • Zhang, D. et al. Insecticide resistance monitoring for the invasive populations of fall armyworm, Spodoptera frugiperda in China. J. Integr. Agric. 20, 783–791 (2021).

    Article 

    Google Scholar 

  • Gui, F. et al. Genomic and transcriptomic analysis unveils population evolution and development of pesticide resistance in fall armyworm Spodoptera frugiperda. Protein Cell 1, 1–19 (2020).

    Google Scholar 

  • Schlum, K. A. et al. Whole genome comparisons reveal panmixia among fall armyworm (Spodoptera frugiperda) from diverse locations. BMC Genomics 22, 179 (2021).

    Article 

    Google Scholar 

  • Stokstad, E. New crop pest takes Africa at lightning speed. Science 356, 473–474 (2017).

    Article 

    Google Scholar 

  • Nagoshi, R. N. et al. The fall armyworm strain associated with most rice, millet, and pasture infestations in the Western Hemisphere is rare or absent in Ghana and Togo. PLoS ONE 16, e0253528 (2021).

    Article 

    Google Scholar 

  • Caniço, A., Mexia, A. & Santos, L. Farmers’ knowledge, perception and management practices of fall armyworm (Spodoptera frugiperda Smith) in Manica province, Mozambique. NeoBiota 68, 127 (2021).

    Article 

    Google Scholar 

  • Nagoshi, R. N. et al. Comparative molecular analyses of invasive fall armyworm in Togo reveal strong similarities to populations from the eastern United States and the Greater Antilles. PLoS ONE 12, e0181982 (2017).

    Article 

    Google Scholar 

  • Nagoshi, R. N., Goergen, G., Plessis, H. D., van den Berg, J. & Meagher, R. Genetic comparisons of fall armyworm populations from 11 countries spanning sub-Saharan Africa provide insights into strain composition and migratory behaviors. Sci. Rep. 9, 8311 (2019).

    Article 

    Google Scholar 

  • Create your own Custom Map. MapChart https://mapchart.net/index.html.

  • Sharanabasappa, S. et al. First report of the Fall armyworm, Spodoptera frugiperda (J E Smith) (Lepidoptera: Noctuidae), an alien invasive pest on maize in India. Pest Manag. Hortic. Ecosyst. 24, 23–29 (2018).

    Google Scholar 

  • Liu, H. et al. Chromosome level draft genomes of the fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae), an alien invasive pest in China. BioRxiv https://doi.org/10.1101/671560 (2019).

    Article 

    Google Scholar 

  • Gimenez, S. et al. Adaptation by copy number variation increases insecticide resistance in the fall armyworm. Commun. Biol. 3, 664 (2020).

    Article 

    Google Scholar 

  • Gouin, A. et al. Two genomes of highly polyphagous lepidopteran pests (Spodoptera frugiperda, Noctuidae) with different host-plant ranges. Sci. Rep. 7, 11816 (2017).

    Article 

    Google Scholar 

  • Nam, K. et al. Positive selection alone is sufficient for whole genome differentiation at the early stage of speciation process in the fall armyworm. BMC Evol. Biol. 20, 152 (2020).

    Article 

    Google Scholar 

  • Fiteni, E. et al. Host-plant adaptation as a driver of incipient speciation in the fall armyworm (Spodoptera frugiperda). BMC Ecol. Evol. 22, 133 (2022).

    Article 

    Google Scholar 

  • Tay, W. T. et al. Global population genomic signature of Spodoptera frugiperda (fall armyworm) supports complex introduction events across the Old World. Commun. Biol. 5, 1–15 (2022).

    Article 

    Google Scholar 

  • Guan, F. et al. Whole-genome sequencing to detect mutations associated with resistance to insecticides and Bt proteins in Spodoptera frugiperda. Insect Sci. https://doi.org/10.1111/1744-7917.12838 (2020).

    Article 

    Google Scholar 

  • Alexander, D. H., Novembre, J. & Lange, K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 19, 1655–1664 (2009).

    Article 

    Google Scholar 

  • Letunic, I. & Bork, P. Interactive Tree Of Life (iTOL) v4: Recent updates and new developments. Nucleic Acids Res. 47, W256–W259 (2019).

    Article 

    Google Scholar 

  • Cruickshank, T. E. & Hahn, M. W. Reanalysis suggests that genomic islands of speciation are due to reduced diversity, not reduced gene flow. Mol. Ecol. 23, 3133–3157 (2014).

    Article 

    Google Scholar 

  • Pavlidis, P., Živković, D., Stamatakis, A. & Alachiotis, N. SweeD: likelihood-based detection of selective sweeps in thousands of genomes. Mol. Biol. Evol. 30, 2224–2234 (2013).

    Article 

    Google Scholar 

  • Charlesworth, B., Morgan, M. T. & Charlesworth, D. The effect of deleterious mutations on neutral molecular variation. Genetics 134, 1289–1303 (1993).

    Article 

    Google Scholar 

  • Aikio, S., Duncan, R. P. & Hulme, P. E. Lag-phases in alien plant invasions: separating the facts from the artefacts. Oikos 119, 370–378 (2010).

    Article 

    Google Scholar 

  • Morimoto, N., Kiritani, K., Yamamura, K. & Yamanaka, T. Finding indications of lag time, saturation and trading inflow in the emergence record of exotic agricultural insect pests in Japan. Appl. Entomol. Zool. 54, 437–450 (2019).

    Article 

    Google Scholar 

  • Aagaard, K. & Lockwood, J. Exotic birds show lags in population growth. Divers. Distrib. 20, 547–554 (2014).

    Article 

    Google Scholar 

  • Azzurro, E., Maynou, F., Belmaker, J., Golani, D. & Crooks, J. A. Lag times in Lessepsian fish invasion. Biol. Invasions 18, 2761–2772 (2016).

    Article 

    Google Scholar 

  • McDonnell, A. M. & Dang, C. H. Basic review of the cytochrome P450 system. J. Adv. Pract. Oncol. 4, 263–268 (2013).

    Google Scholar 

  • Giraudo, M. et al. Cytochrome P450s from the fall armyworm (Spodoptera frugiperda): responses to plant allelochemicals and pesticides. Insect Mol. Biol. 24, 115–128 (2015).

    Article 

    Google Scholar 

  • Cao, W. et al. Multi-faceted epigenetic dysregulation of gene expression promotes esophageal squamous cell carcinoma. Nat. Commun. 11, 3675 (2020).

    Article 

    Google Scholar 

  • Yainna, S. et al. Geographic monitoring of insecticide resistance mutations in native and invasive populations of the Fall Armyworm. Insects 12, 468 (2021).

    Article 

    Google Scholar 

  • Tapadia, M. G. & Lakhotia, S. C. Expression of mdr49 and mdr65 multidrug resistance genes in larval tissues of Drosophila melanogaster under normal and stress conditions. Cell Stress Chaperones 10, 7–11 (2005).

    Article 

    Google Scholar 

  • Lin, H. et al. Characterization and expression profiling of serine protease inhibitors in the diamondback moth, Plutella xylostella (Lepidoptera: Plutellidae). BMC Genomics 18, 162 (2017).

    Article 

    Google Scholar 

  • de Fouchier, A. et al. Functional evolution of Lepidoptera olfactory receptors revealed by deorphanization of a moth repertoire. Nat. Commun. 8, 15709 (2017).

    Article 

    Google Scholar 

  • Tataroglu, O. & Emery, P. The molecular ticks of the Drosophila circadian clock. Curr. Opin. Insect Sci. 7, 51–57 (2015).

    Article 

    Google Scholar 

  • Hänniger, S. et al. Genetic basis of allochronic differentiation in the fall armyworm. BMC Evol. Biol. 17, 68 (2017).

    Article 

    Google Scholar 

  • Schöfl, G., Heckel, D. G. & Groot, A. T. Time-shifted reproductive behaviours among fall armyworm (Noctuidae: Spodoptera frugiperda) host strains: Evidence for differing modes of inheritance. J. Evol. Biol. 22, 1447–1459 (2009).

    Article 

    Google Scholar 

  • Haenniger, S. et al. Sexual communication of Spodoptera frugiperda from West Africa: Adaptation of an invasive species and implications for pest management. Sci. Rep. 10, 2892 (2020).

    Article 

    Google Scholar 

  • Feder, J. L. et al. Genome-wide congealing and rapid transitions across the speciation continuum during speciation with gene flow. J. Hered. 105, 810–820 (2014).

    Article 

    Google Scholar 

  • Schubert, M., Lindgreen, S. & Orlando, L. AdapterRemoval v2: Rapid adapter trimming, identification, and read merging. BMC Res. Notes 9, 88 (2016).

    Article 

    Google Scholar 

  • Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012).

    Article 

    Google Scholar 

  • McKenna, A. et al. The genome analysis toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20, 1297–1303 (2010).

    Article 

    Google Scholar 

  • Lu, Y. & Adang, M. J. Distinguishing fall armyworm (Lepidoptera: Noctuidae) strains using a diagnostic mitochondrial DNA marker. Fla. Entomol. 1, 48–55 (1996).

    Article 

    Google Scholar 

  • Li, H. et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).

    Article 

    Google Scholar 

  • Meng, G., Li, Y., Yang, C. & Liu, S. MitoZ: A toolkit for animal mitochondrial genome assembly, annotation and visualization. Nucleic Acids Res. 47, e63–e63 (2019).

    Article 

    Google Scholar 

  • Edgar, R. C. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797 (2004).

    Article 

    Google Scholar 

  • Tamura, K. et al. MEGA5: Molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol. Biol. Evol. 28, 2731–2739 (2011).

    Article 

    Google Scholar 

  • Li, H. Tabix: fast retrieval of sequence features from generic TAB-delimited files. Bioinformatics 27, 718–719 (2011).

    Article 

    Google Scholar 

  • Rentería, M. E., Cortes, A. & Medland, S. E. Using PLINK for genome-wide association studies (GWAS) and data analysis. Methods Mol. Biol. 1019, 193–213 (2013).

    Article 

    Google Scholar 

  • Weir, B. S. & Cockerham, C. C. Estimating F-statistics for the analysis of population structure. Evolution 38, 1358–1370 (1984).

    Google Scholar 

  • Danecek, P. et al. The variant call format and VCFtools. Bioinformatics 27, 2156–2158 (2011).

    Article 

    Google Scholar 

  • Ernst, M. D. Permutation methods: a basis for exact inference. Stat. Sci. 4, 676–685 (2004).

    MathSciNet 
    MATH 

    Google Scholar 

  • Pickrell, J. K. & Pritchard, J. K. Inference of population splits and mixtures from genome-wide allele frequency data. PLoS Genet. 8, e1002967 (2012).

    Article 

    Google Scholar 

  • Kergoat, G. J. et al. A novel reference dated phylogeny for the genus Spodoptera Guenée (Lepidoptera: Noctuidae: Noctuinae): New insights into the evolution of a pest-rich genus. Mol. Phylogenet. Evol. 161, 107161 (2021).

    Article 

    Google Scholar 

  • Lefort, V., Desper, R. & Gascuel, O. FastME 2.0: A comprehensive, accurate, and fast distance-based phylogeny inference program. Mol. Biol. Evol. 32, 2798–2800 (2015).

    Article 

    Google Scholar 

  • Plotree, D. & Plotgram, D. PHYLIP-phylogeny inference package (version 3.2). Cladistics 5, 163–166 (1989).

    Google Scholar 

  • Nelson, D. R. The cytochrome p450 homepage. Hum. Genomics 4, 1–7 (2009).

    Article 

    Google Scholar 


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