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

作　　者：Cynthia RIGINOS Eric D. CRANDALL Libby LIGGINS Pim BONGAERTS Eric A, TREML 

机构地区：[1]School of Biological Sciences, The University of Queensland, St Lucia, QLD 4072, Australia [2]Division of Science and Environmental Policy, California State University, Seaside, CA 93955, USA [3]Institute of Natural and Mathematical Sciences, Massey University, Auckland 0745, New Zealand [4]Global Change Institute, The University of Queensland, QLD 4072, St Lucia, Australia [5]School of BioSciences, The University of Melbourne, VIC, 3010, Australia

出　　处：《Current Zoology》2016年第6期581-601,共21页动物学报（英文版）

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

关 键 词：adaptation genetic-environment association landscape OCEANOGRAPHY population genomics remote sensing seascape genetics. 

分 类 号：S513[农业科学—作物学] X176[环境科学与工程—环境科学]