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      Gene drives for vertebrate pest control: Realistic spatial modelling of eradication probabilities and times for island mouse populations

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          Abstract

          Invasive alien species continue to threaten global biodiversity. CRISPR‐based gene drives, which can theoretically spread through populations despite imparting a fitness cost, could be used to suppress or eradicate pest populations. We develop an individual‐based, spatially explicit, stochastic model to simulate the ability of CRISPR‐based homing and X chromosome shredding drives to eradicate populations of invasive house mice ( Mus muculus) from islands. Using the model, we explore the interactive effect of the efficiency of the drive constructs and the spatial ecology of the target population on the outcome of a gene‐drive release. We also consider the impact of polyandrous mating and sperm competition, which could compromise the efficacy of some gene‐drive strategies. Our results show that both drive strategies could be used to eradicate large populations of mice. Whereas parameters related to drive efficiency and demography strongly influence drive performance, we find that sperm competition following polyandrous mating is unlikely to impact the outcome of an eradication effort substantially. Assumptions regarding the spatial ecology of mice influenced the probability of and time required for eradication, with short‐range dispersal capacities and limited mate‐search areas producing ‘chase’ dynamics across the island characterized by cycles of local extinction and recolonization by mice. We also show that highly efficient drives are not always optimal, when dispersal and mate‐search capabilities are low. Rapid local population suppression around the introduction sites can cause loss of the gene drive before it can spread to the entire island. We conclude that, although the design of efficient gene drives is undoubtedly critical, accurate data on the spatial ecology of target species are critical for predicting the result of a gene‐drive release.

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          Most cited references108

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          A working guide to boosted regression trees.

          1. Ecologists use statistical models for both explanation and prediction, and need techniques that are flexible enough to express typical features of their data, such as nonlinearities and interactions. 2. This study provides a working guide to boosted regression trees (BRT), an ensemble method for fitting statistical models that differs fundamentally from conventional techniques that aim to fit a single parsimonious model. Boosted regression trees combine the strengths of two algorithms: regression trees (models that relate a response to their predictors by recursive binary splits) and boosting (an adaptive method for combining many simple models to give improved predictive performance). The final BRT model can be understood as an additive regression model in which individual terms are simple trees, fitted in a forward, stagewise fashion. 3. Boosted regression trees incorporate important advantages of tree-based methods, handling different types of predictor variables and accommodating missing data. They have no need for prior data transformation or elimination of outliers, can fit complex nonlinear relationships, and automatically handle interaction effects between predictors. Fitting multiple trees in BRT overcomes the biggest drawback of single tree models: their relatively poor predictive performance. Although BRT models are complex, they can be summarized in ways that give powerful ecological insight, and their predictive performance is superior to most traditional modelling methods. 4. The unique features of BRT raise a number of practical issues in model fitting. We demonstrate the practicalities and advantages of using BRT through a distributional analysis of the short-finned eel (Anguilla australis Richardson), a native freshwater fish of New Zealand. We use a data set of over 13 000 sites to illustrate effects of several settings, and then fit and interpret a model using a subset of the data. We provide code and a tutorial to enable the wider use of BRT by ecologists.
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            Invasive species are a leading cause of animal extinctions.

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              Invasion and the evolution of speed in toads.

              Cane toads (Bufo marinus) are large anurans (weighing up to 2 kg) that were introduced to Australia 70 years ago to control insect pests in sugar-cane fields. But the result has been disastrous because the toads are toxic and highly invasive. Here we show that the annual rate of progress of the toad invasion front has increased about fivefold since the toads first arrived; we find that toads with longer legs can not only move faster and are the first to arrive in new areas, but also that those at the front have longer legs than toads in older (long-established) populations. The disaster looks set to turn into an ecological nightmare because of the negative effects invasive species can have on native ecosystems; over many generations, rates of invasion will be accelerated owing to rapid adaptive change in the invader, with continual 'spatial selection' at the expanding front favouring traits that increase the toads' dispersal.

                Author and article information

                Contributors
                aysegul.birand@adelaide.edu.au
                Journal
                Mol Ecol
                Mol Ecol
                10.1111/(ISSN)1365-294X
                MEC
                Molecular Ecology
                John Wiley and Sons Inc. (Hoboken )
                0962-1083
                1365-294X
                31 January 2022
                March 2022
                : 31
                : 6 ( doiID: 10.1111/mec.v31.6 )
                : 1907-1923
                Affiliations
                [ 1 ] Invasion Science and Wildlife Ecology Lab School of Biological Sciences The University of Adelaide Adelaide South Australia Australia
                [ 2 ] School of Mathematical Sciences The University of Adelaide Adelaide South Australia Australia
                [ 3 ] School of Biological Sciences and the Department of Statistics University of Auckland Auckland New Zealand
                [ 4 ] School of Medicine and Robinson Research Institute The University of Adelaide Adelaide South Australia Australia
                [ 5 ] South Australian Health and Medical Research Institute Adelaide South Australia Australia
                Author notes
                [*] [* ] Correspondence

                Aysegul Birand, Invasion Science and Wildlife Ecology Lab, School of Biological Sciences, The University of Adelaide, Adelaide, SA, Australia.

                Email: aysegul.birand@ 123456adelaide.edu.au

                Author information
                https://orcid.org/0000-0001-9217-3627
                Article
                MEC16361
                10.1111/mec.16361
                9303646
                35073448
                e17ff6c2-cc5b-4b69-9598-880fe6c1c03d
                © 2022 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 07 January 2022
                : 10 May 2021
                : 12 January 2022
                Page count
                Figures: 10, Tables: 1, Pages: 17, Words: 12539
                Funding
                Funded by: Australian Research Council
                Award ID: LP180100748
                Funded by: NSW Government
                Funded by: SA Government Research, Commercialisation and Start up Fund
                Funded by: The University of Adelaide
                Categories
                Original Article
                ORIGINAL ARTICLES
                GMOs and their release
                Custom metadata
                2.0
                March 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:21.07.2022

                Ecology
                crispr,homing drive,island conservation,pest eradication,spatial model,x‐shredder
                Ecology
                crispr, homing drive, island conservation, pest eradication, spatial model, x‐shredder

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