Gandhi, K. J. K. & Herms, D. A. Direct and indirect effects of alien insect herbivores on ecological processes and interactions in forests of eastern North America. Biol. Invasions 12, 389–405 (2010).
Desurmont, G. A. et al. Alien interference: disruption of infochemical networks by invasive insect herbivores. Plant. Cell Environ. 37, 1854–1865 (2014).
Google Scholar
Kenis, M. et al. Ecological effects of invasive alien insects. Biol. Invasions 11, 21–45 (2009).
Paini, D. R. et al. Global threat to agriculture from invasive species. Proc. Natl. Acad. Sci. 113, 7575–7579 (2016).
Google Scholar
Bradshaw, C. J. A. et al. Massive yet grossly underestimated global costs of invasive insects. Nat. Commun. 7, 1–8 (2016).
Sherpa, S. et al. Unravelling the invasion history of the Asian tiger mosquito in Europe. Mol. Ecol. 28, 2360–2377 (2019).
Google Scholar
Sherpa, S. et al. Landscape does matter: Disentangling founder effects from natural and human-aided post-introduction dispersal during an ongoing biological invasion. J. Anim. Ecol. 89, 2027–2042 (2020).
Google Scholar
Sherpa, S. & Després, L. The evolutionary dynamics of biological invasions: A multi‐approach perspective. Evol. Appl. (2021).
North, H. L., McGaughran, A. & Jiggins, C. Insights into invasive species from whole-genome resequencing. Mol. Ecol. (2021).
Ma, L. et al. Rapid and strong population genetic differentiation and genomic signatures of climatic adaptation in an invasive mealybug. Divers. Distrib. 26, 610–622 (2020).
Ortego, J., Céspedes, V., Millán, A. & Green, A. J. Genomic data support multiple introductions and explosive demographic expansions in a highly invasive aquatic insect. Mol. Ecol. 30, 4189–4203 (2021).
Google Scholar
Varone, L., Logarzo, G., Briano, J., Hight, S. & Carpenter, J. Cactoblastis cactorum (Berg) (Lepidoptera: Pyralidae) use of Opuntia host species in Argentina. Biol. Invasions 16, 2367–2380 (2014).
Singer, M. C., Ng, D. & Moore, R. A. Genetic variation in oviposition preference between butterfly populations. J. Insect Behav. 4, 531–535 (1991).
Forister, M. L. Oviposition preference and larval performance within a diverging lineage of lycaenid butterflies. Ecol. Entomol. 29, 264–272 (2004).
Wiklund, C. The concept of oligophagy and the natural habitats and host plants of Papilio machaon L. Fennoscandia. Insect Syst. Evol. 5, 151–160 (1974).
Courtney, S. P. & Forsberg, J. Host use by two pierid butterflies varies with host density. Funct. Ecol. 2, 67–75 (1988).
Franklin, J. Species distribution models in conservation biogeography: developments and challenges. Divers. Distrib. 19, 1217–1223 (2013).
Peterson, A. et al. Ecological niches and geographic distributions. Monographs in Population Biology vol. 49 (2011).
Alvarado-Serrano, D. F. & Knowles, L. L. Ecological niche models in phylogeographic studies: Applications, advances and precautions. Mol. Ecol. Resour. 14, 233–248 (2014).
Google Scholar
Carrera-Martínez, R., Aponte-Díaz, L. A., Ruiz-Arocho, J., Lorenzo-Ramos, A. & Jenkins, D. A. The effects of the invasive Harrisia cactus mealybug (Hypogeococcus sp.) and exotic lianas (Jasminum fluminense) on Puerto Rican native cacti survival and reproduction. Biol. Invasions 21, 3269–3284 (2019).
Acevedo-Rodríguez, P. & Strong, M. T. Catalogue of seed plants of the West Indies. Smithson. Contrib. to Bot. 98, 1–1192 (2012).
Carrera-Martínez, R., Aponte-Díaz, L., Ruiz-Arocho, J. & Jenkins, D. A. Symptomatology of infestation by Hypogeococcus pungens: Contrasts between host species. Haseltonia 2015, 14–18 (2015).
Aponte-Díaz, L., Ruiz-Arocho, J., Carrera-Martínez, R. & Ee, B. Contrasting effects of the invasive Hypogeococcus sp. (Hemiptera: Pseudococcidae) infestation on seed germination of Pilosocereus royenii (Cactaceae), a Puerto Rican native cactus. Caribb. J. Sci. 50, 212–218 (2020).
California Department of Food and Agriculture. Harrisia Cactus Mealybug | Hypogeococcus pungens | Pest rating proposals and final ratings. https://blogs.cdfa.ca.gov/Section3162/?p=5881 (2018).
Poveda-Martínez, D. et al. Species complex diversification by host plant use in an herbivorous insect: The source of Puerto Rican cactus mealybug pest and implications for biological control. Ecol. Evol. 10, 10463–10480 (2020).
Google Scholar
Segarra-Carmona, A. E., Ramírez-Lluch, A., Cabrera-Asencio, I. & Jiménez-López, A. N. First report of a new invasive mealybug, the Harrisia cactus mealybug Hypogeococcus pungens (Hemiptera: Pseudococcidae). J. Agric. Univ. Puerto Rico 94, 183–187 (2010).
Poveda-Martínez, D. et al. Untangling the Hypogeococcus pungens species complex (Hemiptera: Pseudococcidae) for Argentina, Australia, and Puerto Rico based on host plant associations and genetic evidence. PLoS ONE 14, e0220366 (2019).
Google Scholar
McKenzie, H. L. Mealybugs of California. (Univ of California Press, 1967).
Hamon, A. B. A cactus mealybug, Hypogeococcus festerianus (Lizer y Trelles). Florida (Homoptera Coccoidea Pseudococcidae). Entomol. Circ. Div. Plant Ind. Florida Dep. Agric. Consum. Serv. 263, 2 (1984).
Hodges, A. & Hodges, G. Hypogeococcus pungens Granara de Willink (Insecta: Hemiptera: Pseudococcidae), a mealybug. EDIS 2009, (2009).
Halbert, S. Entomology section. Triology 35, 2–4 (1996).
Aguirre, M. B. et al. Analysis of biological traits of Anagyrus cachamai and Anagyrus lapachosus to assess their potential as biological control candidate agents against Harrisia cactus mealybug pest in Puerto Rico. Biocontrol 64, 539–551 (2019).
Google Scholar
Aguirre, M. B. et al. Influence of competition and intraguild predation between two candidate biocontrol parasitoids on their potential impact against Harrisia cactus mealybug, Hypogeococcus sp. (Hemiptera: Pseudococcidae). Sci. Rep. 11, 13377 (2021).
Google Scholar
Eaton, D. A. R. & Overcast, I. ipyrad: Interactive assembly and analysis of RADseq datasets. Bioinformatics 36, 2592–2594 (2020).
Google Scholar
Poveda-Martínez, D., Salinas, N., Aguirre, M. B., Sánchez-Restrepo, A. F. & Hight, S., Diaz-Soltero, H. Dataset generated in Genomic and ecological evidence shed light on the recent demographic history of two related invasive insects. https://doi.org/10.6084/m9.figshare.15167082.v2 (2022).
Frichot, E., Mathieu, F., Trouillon, T., Bouchard, G. & François, O. Fast and efficient estimation of individual ancestry coefficients. Genetics 196, 973–983 (2014).
Google Scholar
Excoffier, L., Dupanloup, I., Huerta-Sánchez, E., Sousa, V. C. & Foll, M. Robust demographic inference from genomic and SNP data. PLoS Genet. 9, e1003905 (2013).
Google Scholar
Gattepaille, L. M., Jakobsson, M. & Blum, M. G. B. Inferring population size changes with sequence and SNP data: Lessons from human bottlenecks. Heredity (Edinb). 110, 409–419 (2013).
Google Scholar
Born‐Schmidt, G. et al. The implementation of the mexican strategy on invasive species: How far have we come? Invasive Alien Species Obs. Issues from Around World 4, 153–164 (2021).
McFadyen, R. E. & Tomley, A. J. Preliminary indications of success in the biological control of Harrisia cactus (Eriocereus martinii Lab.) in Queensland. In Proceedings of the First Conference of the Council of Australian Weed Science Societies held at National Science Centre, Parkville, Victoria, Australia, 12–14 April 1978 108–112 (Council of Australian Weed Science Societies, 1978).
McFadyen, R. E. & Tomley, A. J. The successful biological control of Harrisia cactus (Eriocereus martinii) in Queensland. In Proceedings of the Sixth Australian Weeds Conference, Volume 1, City of Gold Coast, Queensland, Australia, 13–18 September, 1981 139–143 (Queensland Weed Society, 1981).
Paterson, I. D. et al. Biological control of Cactaceae in South Africa. African Entomol. 19, 230–246 (2011).
Sutton, G. F., Klein, H. & Paterson, I. D. Evaluating the efficacy of Hypogeococcus sp. as a biological control agent of the cactaceous weed Cereus jamacaru in South Africa. Biocontrol 63, 493–503 (2018).
Paterson, I. D. et al. Biological control of Cactaceae in South Africa. African Entomol. 29, 713–734 (2021).
McFadyen, R. E. Harrisia (Eriocereus) martinii (Labour.) Britton—Harrisia cactus Acanthocereus tetragonus (L.) Hummelink—sword pear. (ed. Julien, M., McFadyen, R., & Cullen, J.), Biological control of weeds in Australia 274– 281. (CSIRO Publishing, 2012).
Julien, M. H. & Griffiths, M. Biological control of weeds: A world catalogue of agents and their target weeds. (Cab International, 1998).
Houston, W. A. & Elder, R. Biocontrol of Harrisia cactus Harrisia martinii by the mealybug Hypogeococcus festerianus (Hemiptera: Pseudococcidae) in salt-influenced habitats in Australia. Austral Entomol. 58, 696–703 (2019).
Hofmeister, N., Werner, S. & Lovette, I. Environmental correlates of genetic variation in the invasive European starling in North America. Mol. Ecol. 30, 1251–1263 (2021).
Google Scholar
Driscoe, A. L. et al. Host plant associations and geography interact to shape diversification in a specialist insect herbivore. Mol. Ecol. 28, 4197–4211 (2019).
Google Scholar
Vidal, M. C., Quinn, T. W., Stireman, J. O. 3rd., Tinghitella, R. M. & Murphy, S. M. Geography is more important than host plant use for the population genetic structure of a generalist insect herbivore. Mol. Ecol. 28, 4317–4334 (2019).
Google Scholar
Poveda-Martínez, D. et al. Spatial and host related genomic variation in partially sympatric cactophagous moth species. Mol. Ecol. 31, 356–371 (2021).
Google Scholar
Cao, L., Wei, S., Hoffmann, A. A., Wen, J. & Chen, M. Rapid genetic structuring of populations of the invasive fall webworm in relation to spatial expansion and control campaigns. Divers. Distrib. 22, 1276–1287 (2016).
Sih, A. et al. Predator–prey naïveté, antipredator behavior, and the ecology of predator invasions. Oikos 119, 610–621 (2010).
Yang, Q.-Q. et al. Introgressive hybridization between two non-native apple snails in China: Widespread hybridization and homogenization in egg morphology. Pest Manag. Sci. 76, 4231–4239 (2020).
Google Scholar
Cordeiro, E. M. G. et al. Hybridization and introgression between Helicoverpa armigera and H zea: An adaptational bridge. BMC Evol. Biol. 20, 61 (2020).
Google Scholar
Pardo-Diaz, C. et al. Adaptive introgression across species boundaries in Heliconius butterflies. PLOS Genet. 8, e1002752 (2012).
Google Scholar
Caltagirone, L. E. Landmark examples in classical biological control. Annu. Rev. Entomol. 26, 213–232 (1981).
Goldson, S. L., Phillips, C. B. & Barlow, N. D. The value of parasitoids in biological control. New Zeal. J. Zool. 21, 91–96 (1994).
Wang, Z., Liu, Y., Shi, M., Huang, J. & Chen, X. Parasitoid wasps as effective biological control agents. J. Integr. Agric. 18, 705–715 (2019).
Miller, G., & Lugo. A. E. Guide to the ecological systems of Puerto Rico. IITF-GTR-35 (2009).
Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014).
Google Scholar
Andrews, S. FastQC: A Quality control tool for high throughput sequence data. (2010).
Ewels, P., Magnusson, M., Lundin, S. & Käller, M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics 32, 3047–3048 (2016).
Google Scholar
Danecek, P. et al. The variant call format and VCFtools. Bioinformatics 27, 2156–2158 (2011).
Google Scholar
Purcell, S. et al. PLINK: A tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).
Google Scholar
Foll, M. & Gaggiotti, O. A genome-scan method to identify selected loci appropriate for both dominant and codominant markers: A Bayesian perspective. Genetics 180, 977–993 (2008).
Google Scholar
Linck, E. & Battey, C. J. Minor allele frequency thresholds strongly affect population structure inference with genomic data sets. Mol. Ecol. Resour. 19, 639–647 (2019).
Google Scholar
Keenan, K., McGinnity, P., Cross, T. F., Crozier, W. W. & Prodöhl, P. A. diveRsity: An R package for the estimation and exploration of population genetics parameters and their associated errors. Methods Ecol. Evol. 4, 782–788 (2013).
Goudet, J. Hierfstat, a package for R to compute and test hierarchical F-statistics. Mol. Ecol. Notes 5, 184–186 (2005).
Kamvar, Z. N., Tabima, J. F. & Grünwald, N. J. Poppr: An R package for genetic analysis of populations with clonal, partially clonal, and/or sexual reproduction. PeerJ 2, e281 (2014).
Google Scholar
Tajima, F. The effect of change in population size on DNA polymorphism. Genetics 123, 597–601 (1989).
Google Scholar
Frichot, E. & François, O. LEA: An R package for landscape and ecological association studies. Methods Ecol. Evol. 6, 925–929 (2015).
Pembleton, L. W., Cogan, N. O. I. & Forster, J. W. St AMPP: An R package for calculation of genetic differentiation and structure of mixed-ploidy level populations. Mol. Ecol. Resour. 13, 946–952 (2013).
Google Scholar
Cockerham, C. C. Drift and mutation with a finite number of allelic states. Proc. Natl. Acad. Sci. 81, 530–534 (1984).
Google Scholar
Lynch, M. & Conery, J. S. The origins of genome complexity. Science 302, 1401–1404 (2003).
Google Scholar
Rozas, J. et al. DnaSP 6: DNA sequence polymorphism analysis of large data sets. Mol. Biol. Evol. 34, 3299–3302 (2017).
Google Scholar
Keightley, P. D., Ness, R. W., Halligan, D. L. & Haddrill, P. R. Estimation of the spontaneous mutation rate per nucleotide site in a Drosophila melanogaster full-sib family. Genetics 196, 313–320 (2014).
Google Scholar
R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (2021).
Neu, C. W., Byers, C. R. & Peek, J. M. A technique for analysis of utilization-availability data. J. Wildl. Manage. 38, 541–545 (1974).
Soberón, J. & Peterson, A. Interpretation of models of fundamental ecological niches and species’ distributional areas. Biodivers. Informatics 2, 1-10 (2005).
Jorge, S. & Miguel, N. Niches and distributional areas: Concepts, methods, and assumptions. Proc. Natl. Acad. Sci. 106, 19644–19650 (2009).
Phillips, S. J., Anderson, R. P. & Schapire, R. E. Maximum entropy modeling of species geographic distributions. Ecol. Modell. 190, 231–259 (2006).
Cobos, M. E., Peterson, A., Barve, N. & Osorio-Olvera, L. Kuenm: An R package for detailed development of ecological niche models using Maxent. PeerJ 7, e6281 (2019).
Google Scholar
Fick, S. E. & Hijmans, R. J. WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315 (2017).
Title, P. O. & Bemmels, J. B. ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. Ecography (Cop.) 41, 291–307 (2018).
Warren, B. H. et al. Evaluating alternative explanations for an association of extinction risk and evolutionary uniqueness in multiple insular lineages. Evolution 72, 2005–2024 (2018).
Google Scholar
Warren, D. L., Glor, R. E. & Turelli, M. Environmental niche equivalency versus conservatism: Quantitative approaches to niche evolution. Evol. Int. J. Org. Evol. 62, 2868–2883 (2008).
Schoener, T. W. The anolis lizards of Bimini: Resource partitioning in a complex fauna. Ecology 49, 704–726 (1968).
Van der Vaart, A. W. Asymptotic Statistics (UK Cam, 1998).
Google Scholar
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