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      Morphological and molecular identification of the invasive freshwater snail Physa acuta (Gastropoda: Physidae) into Llanquihue Lake, Chilean Patagonia

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          Abstract

          Abstract The sewage snail Physa acuta, native to North America, is an effective invasive species around the world. In Chile, it was first reported in 2014 in the north central area of the country. So far, the species has not been recorded in southern Chile. Sampling performed in 2015 in three localities from Llanquihue Lake, Chilean Patagonia, only provided native freshwater snails. However, new collections performed in February 2018 in the same three sites were successful for physid specimens suggesting a biological invasion entailing a large southward range expansion of these snails. Here we performed morphological, microstructural and phylogenetic analyses to investigate whether the new samples belong to Physa acuta. The shell morphology, male copulatory complex and radula microstructure of the new material agree with those of the sewage snail. The molecular phylogenetic analyses using the cytochrome c oxidase subunit 1 (COI) gene confirmed morphological identification. We suggest to take prompt measures to prevent the expansion of Physa acuta in Llanquihue Lake or nearby aquatic ecosystems.

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          Most cited references61

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          Confidence Limits on Phylogenies: An Approach Using the Bootstrap

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            jModelTest: phylogenetic model averaging.

            jModelTest is a new program for the statistical selection of models of nucleotide substitution based on "Phyml" (Guindon and Gascuel 2003. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol. 52:696-704.). It implements 5 different selection strategies, including "hierarchical and dynamical likelihood ratio tests," the "Akaike information criterion," the "Bayesian information criterion," and a "decision-theoretic performance-based" approach. This program also calculates the relative importance and model-averaged estimates of substitution parameters, including a model-averaged estimate of the phylogeny. jModelTest is written in Java and runs under Mac OSX, Windows, and Unix systems with a Java Runtime Environment installed. The program, including documentation, can be freely downloaded from the software section at http://darwin.uvigo.es.
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              Does global change increase the success of biological invaders?

              Biological invasions are gaining attention as a major threat to biodiversity and an important element of global change. Recent research indicates that other components of global change, such as increases in nitrogen deposition and atmospheric CO2 concentration, favor groups of species that share certain physiological or life history traits. New evidence suggests that many invasive species share traits that will allow them to capitalize on the various elements of global change. Increases in the prevalence of some of these biological invaders would alter basic ecosystem properties in ways that feed back to affect many components of global change.
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                Author and article information

                Journal
                aabc
                Anais da Academia Brasileira de Ciências
                An. Acad. Bras. Ciênc.
                Academia Brasileira de Ciências (Rio de Janeiro, RJ, Brazil )
                0001-3765
                1678-2690
                2020
                : 92
                : suppl 2
                : e20181101
                Affiliations
                [1] Chillán orgnameUniversidad del Bío-Bío orgdiv1Facultad de Ciencias Chile
                [4] Copiapó Atacama orgnameUniversidad de Atacama orgdiv1Centro de Investigaciones Costeras/CIC-UDA Chile
                [5] La Plata orgnameMuseo de La Plata orgdiv1División Zoología Invertebrados Argentina
                [3] Chillán orgnameUniversidad Tecnológica de Chile INACAP Chile
                [2] Chillán orgnameUniversidad del Bío-Bío orgdiv1Grupo de Investigación Biodiversidad y Cambio Global Chile
                Article
                S0001-37652020000400746 S0001-3765(20)09200000746
                10.1590/0001-3765202020181101
                e079d3c6-d6b6-47c3-a3c9-da600152d3a0

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 18 October 2018
                : 31 January 2019
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 69, Pages: 0
                Product

                SciELO Brazil

                Categories
                Biological Sciences

                molecular identification,taxonomy,South America,Physa,invasive species,Chile

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