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

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dc.citation.issue6
dc.citation.volume62
dc.contributor.authorRiginos C
dc.contributor.authorCrandall ED
dc.contributor.authorLiggins L
dc.contributor.authorBongaerts P
dc.contributor.authorTreml EA
dc.date.available2016-12
dc.date.available2016-05-25
dc.date.issued2016-12
dc.description.abstractPopulation 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 landscape 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 approaches are especially useful for identifying robust locus-by-environment associations.
dc.description.publication-statusPublished
dc.format.extent581 - 601
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000394508100008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifier.citationCURRENT ZOOLOGY, 2016, 62 (6), pp. 581 - 601
dc.identifier.doi10.1093/cz/zow067
dc.identifier.eissn2396-9814
dc.identifier.elements-id286339
dc.identifier.harvestedMassey_Dark
dc.identifier.issn1674-5507
dc.identifier.urihttps://hdl.handle.net/10179/17393
dc.relation.isPartOfCURRENT ZOOLOGY
dc.subjectadaptation
dc.subjectgenetic-environment association
dc.subjectlandscape
dc.subjectoceanography
dc.subjectpopulation genomics
dc.subjectremote sensing
dc.subjectseascape genetics
dc.subject.anzsrc0608 Zoology
dc.titleNavigating the currents of seascape genomics: how spatial analyses can augment population genomic studies.
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Natural Sciences
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