DOI: 10.5061/dryad.p7p1jb3
title: Data from: Sex-specific additive genetic variances and correlations for fitness in a song sparrow (Melospiza melodia) population subject to natural immigration and inbreeding

description: Quantifying sex-specific additive genetic variance (VA) in fitness, and
 the cross-sex genetic correlation (rA), is prerequisite to predicting
 evolutionary dynamics and the magnitude of sexual conflict. Further,
 quantifying VA and rA in underlying fitness components, and genetic
 consequences of immigration and resulting gene flow, is required to
 identify mechanisms that maintain VA in fitness. However, these key
 parameters have rarely been estimated in wild populations experiencing
 natural environmental variation and immigration. We used comprehensive
 pedigree and life history data from song sparrows (Melospiza melodia) to
 estimate VA and rA in sex-specific fitness and underlying fitness
 components, and to estimate additive genetic effects of immigrants
 alongside inbreeding depression. We found evidence of substantial VA in
 female and male fitness, with a moderate positive cross-sex rA. There was
 also substantial VA in male but not female adult reproductive success, and
 moderate VA in juvenile survival but not adult annual survival. Immigrants
 introduced alleles with negative additive genetic effects on local
 fitness, potentially reducing population mean fitness through migration
 load, but alleviating expression of inbreeding depression. Our results
 show that VA for fitness can be maintained in the wild, and be broadly
 concordant between the sexes despite marked sex-specific VA in
 reproductive success.
description: Wolak_et_al_SOSP_fitness_QG_DataData for **SEX-SPECIFIC ADDITIVE GENETIC VARIANCES AND CORRELATIONS FOR FITNESS IN A SONG SPARROW (MELOSPIZA MELODIA) POPULATION SUBJECT TO NATURAL IMMIGRATION AND INBREEDING** by Wolak, Arcese, Keller, Nietlisbach, & Reid published in *Evolution* These data come from the long-term song sparrow field study on Mandarte Island, BC, Canada. The data provided here are sufficient to replicate the analyses presented in the above paper, and are therefore a restricted subset of the full Mandarte dataset. If you are interested in running additional analyses that require further data then please get in touch with at least one (preferably all) of the following project leaders: - Prof Peter Arcese (University of British Columbia): peter.arceseubc.ca - Prof Lukas Keller (University of Zurich): lukas.kellerieu.uzh.ch - Prof Jane Reid (University of Aberdeen): jane.reidabdn.ac.uk We are always happy to develop collaborations with researchers who have good ideas for new analyses. We would also appreciate it if you could let us know if you are intending to make use of the dataset below in order to facilitate coordination of different ongoing research efforts and allow us to keep track of all outputs from the long-term field study.Wolak_et_al_SOSP_fitness_QG.zipWolak_et_al_SOSP_fitness_QG_AnalysisCodeCode for **SEX-SPECIFIC ADDITIVE GENETIC VARIANCES AND CORRELATIONS FOR FITNESS IN A SONG SPARROW (MELOSPIZA MELODIA) POPULATION SUBJECT TO NATURAL IMMIGRATION AND INBREEDING** by Wolak, Arcese, Keller, Nietlisbach, & Reid published in *Evolution* These data come from the long-term song sparrow field study on Mandarte Island, BC, Canada. The data provided here are sufficient to replicate the analyses presented in the above paper, and are therefore a restricted subset of the full Mandarte dataset. If you are interested in running additional analyses that require further data then please get in touch with at least one (preferably all) of the following project leaders: - Prof Peter Arcese (University of British Columbia): peter.arceseubc.ca - Prof Lukas Keller (University of Zurich): lukas.kellerieu.uzh.ch - Prof Jane Reid (University of Aberdeen): jane.reidabdn.ac.uk We are always happy to develop collaborations with researchers who have good ideas for new analyses. We would also appreciate it if you could let us know if you are intending to make use of the dataset below in order to facilitate coordination of different ongoing research efforts and allow us to keep track of all outputs from the long-term field study.Wolak_et_al_fitness_AnalysisCode.R