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      One maternal lineage leads the expansion of Thaumastocoris peregrinus (Hemiptera: Thaumastocoridae) in the New and Old Worlds

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          Abstract

          The bronze bug, Thaumastocoris peregrinus, an Australian native insect, has become a nearly worldwide invasive pest in the last 16 years and has been causing significant damage to eucalypts (Myrtaceae), including Eucalyptus spp. and Corymbia spp. Its rapid expansion leads to new questions about pathways and routes that T. peregrinus used to invade other continents and countries. We used mtDNA to characterize specimens of T. peregrinus collected from 10 countries where this species has become established, including six recently invaded countries: Chile, Israel, Mexico, Paraguay, Portugal, and the United States of America. We then combined our mtDNA data with previous data available from South Africa, Australia, and Europe to construct a world mtDNA network of haplotypes. Haplotype A was the most common present in all specimens of sites sampled in the New World, Europe, and Israel, however from Australia second more frequently. Haplotype D was the most common one from native populations in Australia. Haplotype A differs from the two major haplotypes found in South Africa (D and G), confirming that at least two independent invasions occurred, one from Australia to South Africa, and the other one from Australia to South America (A). In conclusion, Haplotype A has an invasion success over many countries in the World. Additionally, analyzing data from our work and previous reports, it is possible to suggest some invasive routes of T. peregrinus to predict such events and support preventive control measures.

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          Global invasion history of the fire ant Solenopsis invicta.

          The fire ant Solenopsis invicta is a significant pest that was inadvertently introduced into the southern United States almost a century ago and more recently into California and other regions of the world. An assessment of genetic variation at a diverse set of molecular markers in 2144 fire ant colonies from 75 geographic sites worldwide revealed that at least nine separate introductions of S. invicta have occurred into newly invaded areas and that the main southern U.S. population is probably the source of all but one of these introductions. The sole exception involves a putative serial invasion from the southern United States to California to Taiwan. These results illustrate in stark fashion a severe negative consequence of an increasingly massive and interconnected global trade and travel system.
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            Rapid evolution in introduced species, ‘invasive traits’ and recipient communities: challenges for predicting invasive potential

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              Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance

              Abstract Trap-based surveillance strategies are widely used for monitoring of invasive insect species, aiming to detect newly arrived exotic taxa as well as track the population levels of established or endemic pests. Where these surveillance traps have low specificity and capture non-target endemic species in excess of the target pests, the need for extensive specimen sorting and identification creates a major diagnostic bottleneck. While the recent development of standardized molecular diagnostics has partly alleviated this requirement, the single specimen per reaction nature of these methods does not readily scale to the sheer number of insects trapped in surveillance programmes. Consequently, target lists are often restricted to a few high-priority pests, allowing unanticipated species to avoid detection and potentially establish populations. DNA metabarcoding has recently emerged as a method for conducting simultaneous, multi-species identification of complex mixed communities and may lend itself ideally to rapid diagnostics of bulk insect trap samples. Moreover, the high-throughput nature of recent sequencing platforms could enable the multiplexing of hundreds of diverse trap samples on a single flow cell, thereby providing the means to dramatically scale up insect surveillance in terms of both the quantity of traps that can be processed concurrently and number of pest species that can be targeted. In this review of the metabarcoding literature, we explore how DNA metabarcoding could be tailored to the detection of invasive insects in a surveillance context and highlight the unique technical and regulatory challenges that must be considered when implementing high-throughput sequencing technologies into sensitive diagnostic applications.
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                Author and article information

                Contributors
                dayanasmac@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                26 February 2020
                26 February 2020
                2020
                : 10
                : 3487
                Affiliations
                [1 ]ISNI 0000 0001 2284 6531, GRID grid.411239.c, Doutoranda pelo Programa de Pós-Graduação em Engenharia Florestal, Universidade Federal de Santa Maria, ; Santa Maria, Brasil
                [2 ]Departamento de Defesa Fitossanitária, Avenida Roraima n. 1000, prédio 42, sala 3223, 97105-900 Santa Maria, Rio Grande do Sul Brasil
                [3 ]Empresa Brasileira de Pesquisa Agropecuária – Embrapa Florestas, Colombo, Paraná, 83411-000 Brazil
                [4 ]ISNI 0000 0004 0604 4346, GRID grid.473327.6, Instituto Nacional de Investigación Agropecuaria (INIA), Ruta 5 Km 386, ; Tacuarembó, Uruguay
                [5 ]Servicio Agrícola y Ganadero (SAG), Av. Presidente Bulnes 140, Santiago, Chile
                [6 ]ISNI 0000 0001 2167 7174, GRID grid.419231.c, Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Yuquerí, Ruta Provincial 22 y vías del Ferrocarril 3200, ; Concordia, Entre Ríos Argentina
                [7 ]ISNI 0000 0001 2181 4263, GRID grid.9983.b, Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, ; Lisboa, Portugal
                [8 ]Laboratorio de Control de Plagas, Unidad de Morfología y Función (UMF), Facultad de Estudios Superiores Iztacala, UNAM. Av. de los barrios #1. Los Reyes Iztacala, Tlalnepantla de Baz, 54090 Mexico
                [9 ]Laboratorio de Análisis y Referencia en Sanidad Forestal, Av. Progreso 3, 04100 Coyoacán Ciudad de México, Mexico
                [10 ]ISNI 0000 0001 0790 385X, GRID grid.4691.a, Dipartimento di Agraria, Università degli Studi di Napoli Federico II, ; Portici, Italy
                [11 ]ISNI 0000 0004 1937 0546, GRID grid.12136.37, The Steinhardt Museum of Natural History, Israel National Center for Biodiversity Studies, Tel Aviv University, ; Tel Aviv, 69978 Israel
                [12 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, University of California, Cooperative Extension, 700 W. Main Street, ; Alhambra, California 91801 United States of America
                [13 ]Entomologist, Los Angeles County Agricultural Commissioner, 11012 S. Garfield Ave, South Gate, CA 90280 United States of America
                [14 ]Faculdad de Agronomía Universidad de la República Uruguay, Ruta 3 km 363, 60000 Paysandú, Uruguay
                [15 ]ISNI 0000 0004 1936 7312, GRID grid.34421.30, Department of Entomology, Iowa State University, ; Ames, Iowa USA
                Author information
                http://orcid.org/0000-0001-9837-5369
                http://orcid.org/0000-0002-7184-2569
                http://orcid.org/0000-0003-3568-7562
                Article
                60236
                10.1038/s41598-020-60236-7
                7044308
                32103053
                0d34914b-2fba-4a64-b032-70ca3a6b364e
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 11 July 2019
                : 5 February 2020
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                © The Author(s) 2020

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                biological techniques,molecular biology
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                biological techniques, molecular biology

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