Navigating the currents of seascape genomics: how spatial analyses can augment population genomic studies.

摘要: Population genomic approaches are making rapid inroads in the study of non-model organisms, including marine taxa. To date, these studies have predominantly focused on rudimentary metrics describing spatial and environmental context their region (e.g., geographical distance, average sea surface temperature, salinity). We contend that a more nuanced considered approach to quantifying seascape dynamics patterns can strengthen population investigations help identify spatial, temporal, factors associated with differing selective regimes or demographic histories. Nevertheless, for landscapes complicated. Characteristic features environment, pelagic living flowing water (experienced by most taxa at some point life cycle), require well-designed spatial-temporal sampling strategy analysis. Many genetic summary statistics used describe populations may be inappropriate species large sizes, ranges, stochastic recruitment, asymmetrical gene flow. Finally, statistical testing associations between seascapes still maturing no single able capture all relevant considerations. None issues completely unique systems therefore similar solutions will shared many organisms regardless habitat. Here, we outline goals landscape genomics an emphasis review growing empirical literature genomics. established tools highlight promising new strategies overcome select spatially optimize sampling. Despite challenges, argue especially well suited identifying candidate regions under environmentally mediated selection useful robust locus-by-environment associations.