TY - JOUR T1 - MetaPopGen 2.0: A multilocus genetic simulator to model populations of large size A1 - Andrello,Marco A1 - Noirot,Christelle A1 - Débarre,Florence A1 - Manel,Stéphanie AD - MARBEC Univ Montpellier CNRS Sète, France AD - CEFE Univ Montpellier CNRS EPHE‐PSL University IRD Univ Paul Valéry Montpellier 3 Montpellier ,France AD - Sorbonne Université CNRS INRAE UPEC Univ. de Paris Institut d’Ecologie et des Sciences de l’Environnement de Paris (iEES‐Paris) Paris, France UR - https://doi.org/10.1111/1755-0998.13270 DO - 10.1111/1755-0998.13270 KW - adaptation KW - connectivity KW - dispersal KW - genetic simulator KW - landscape genetics N2 - Multi‐locus genetic processes in subdivided populations can be complex and difficult to interpret using theoretical population genetics models. Genetic simulators offer a valid alternative to study multi‐locus genetic processes in arbitrarily complex scenarios. However, the use of forward‐in‐time simulators in realistic scenarios involving high numbers of individuals distributed in multiple local populations is limited by computation time and memory requirements. These limitations increase with the number of simulated individuals. We developed a genetic simulator, MetaPopGen 2.0, to model multi‐locus population genetic processes in subdivided populations of arbitrarily large size. It allows for spatial and temporal variation in demographic parameters, age structure, adult and propagule dispersal, variable mutation rates and selection on survival and fecundity. We developed MetaPopGen 2.0 in the R environment to facilitate its use by non‐modeler ecologists and evolutionary biologists. We illustrate the capabilities of MetaPopGen 2.0 for studying adaptation to water salinity in the striped red mullet Mullus surmuletus. Y1 - 2021/02 PB - Wiley JF - Molecular Ecology Resources SN - 1755-098X VL - 21 IS - 2 SP - 596 EP - 608 ID - 76565 ER -