2009
DOI: 10.1038/hdy.2009.92
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Inferring introduction routes of invasive species using approximate Bayesian computation on microsatellite data

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Cited by 147 publications
(188 citation statements)
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References 25 publications
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“…The main drawback of the classical analyses performed with molecular data is that they do not take into account the demographic history and the stochasticity involved in introduction scenarios (bottleneck effects, drift, population expansions, admixture from several sources) and do not allow to formally test competing scenarios . On the contrary, approximate Bayesian computation (Beaumont et al, 2002), which carries out model-based inferences using coalescent theory, allows to avoid these drawbacks and can limit misleading biases due to incomplete sampling by including 'ghost' (that is, unsampled) populations Guillemaud et al, 2010). This method is particularly adapted to decipher complex introduction scenarios using information from molecular markers, even though it should be used with caution and properly validated (Bertorelle et al, 2010;Robert et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…The main drawback of the classical analyses performed with molecular data is that they do not take into account the demographic history and the stochasticity involved in introduction scenarios (bottleneck effects, drift, population expansions, admixture from several sources) and do not allow to formally test competing scenarios . On the contrary, approximate Bayesian computation (Beaumont et al, 2002), which carries out model-based inferences using coalescent theory, allows to avoid these drawbacks and can limit misleading biases due to incomplete sampling by including 'ghost' (that is, unsampled) populations Guillemaud et al, 2010). This method is particularly adapted to decipher complex introduction scenarios using information from molecular markers, even though it should be used with caution and properly validated (Bertorelle et al, 2010;Robert et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…As the STRUCTURE results revealed that a subsample of the invasive South African M. dolomieu individuals (CI S ) were more closely related to the historic native samples than to the remaining SA individuals (CI) (predominantly individuals from populations BE and OL; Figure 4: b), we simulated nine additional scenarios to test the theory of multiple introductions (Figure 5: A–I; Appendix 2). At last, as suggested by Guillemaud, Beaumont, Ciosi, Cornuet, and Estoup (2010), three supplementary scenarios were simulated to determine whether the two SA groupings (CI and CI S ) originated from (a) a single serial introduction from the source population (CN + HN), (b) two independent introduction events from the same source or (c) an unsampled source population (Figure 5: i–iii; Appendix 2). To prevent overparameterization, parameters were specified according to the program guidelines (Cornuet et al., 2014).…”
Section: Methodsmentioning
confidence: 79%
“…Molecular techniques are indispensable tools in invasion biology (Blanchet, 2012; Muirhead et al., 2008), particularly for reconstructing species invasion histories and routes (Estoup & Guillemaud, 2010; Guillemaud et al., 2010, 2015; Wilson, Dormontt, Prentis, Lowe, & Richardson, 2009). However, sampling problems such as the number of native versus invasive populations sampled and the number of individuals sampled per population may hinder the accuracy of the molecular markers to identify the source population (Guillemaud et al., 2010).…”
Section: Discussionmentioning
confidence: 99%
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“…regarding illegal salmon fishing and trade (Withler et al 2004). Furthermore, genetic software have been developed to infer the past demographic history (Pybus et al 2000;Heled and Drummond 2008;Guillemaud et al 2009), making it theoretically possible to infer the most likely number of translocated individuals from one source population to a new locality (Anderson and Slatkin 2007).…”
Section: Introductionmentioning
confidence: 99%