FN Archimer Export Format PT J TI MetaPopGen 2.0: A multilocus genetic simulator to model populations of large size BT AF Andrello, Marco Noirot, Christelle Débarre, Florence Manel, Stéphanie AS 1:1;2:2;3:3;4:2; FF 1:;2:;3:;4:; C1 MARBEC Univ Montpellier CNRS Sète, France CEFE Univ Montpellier CNRS EPHE‐PSL University IRD Univ Paul Valéry Montpellier 3 Montpellier ,France Sorbonne Université CNRS INRAE UPEC Univ. de Paris Institut d’Ecologie et des Sciences de l’Environnement de Paris (iEES‐Paris) Paris, France C2 IRD, FRANCE UNIV MONTPELLIER, FRANCE UNIV SORBONNE, FRANCE UM MARBEC IN WOS Cotutelle UMR copubli-france copubli-univ-france IF 8.678 TC 0 UR https://archimer.ifremer.fr/doc/00654/76565/77694.pdf LA English DT Article DE ;adaptation;connectivity;dispersal;genetic simulator;landscape genetics AB 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. PY 2021 PD FEB SO Molecular Ecology Resources SN 1755-098X PU Wiley VL 21 IS 2 UT 000590613600001 BP 596 EP 608 DI 10.1111/1755-0998.13270 ID 76565 ER EF