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The Least Cost Path From Landscape Genetics to Landscape Genomics



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Autore: Rodney J. Dyer Visualizza persona
Titolo: The Least Cost Path From Landscape Genetics to Landscape Genomics Visualizza cluster
Pubblicazione: Frontiers Media SA, 2018
Descrizione fisica: 1 electronic resource (116 p.)
Soggetto non controllato: landscape genomics
gene flow
next generation sequencing
landscape genetics
evolution
Persona (resp. second.): Stéphane Joost
Samuel A. Cushman
Glenn T. Howe
Melanie A. Murphy
Andrew J. Shirk
Sommario/riassunto: Ecosystems are the stage on which the play of evolution is acted, and ecosystems are complex, spatially structured and temporally varying. The purpose of this Research Topic is to explore critical challenges and opportunities for the transition from landscape genetics to landscape genomics. Landscape genetics has focused on the spatial analysis of small genetic datasets, typically comprised of less than 20 microsatellite markers, taken from clusters of individuals in putative populations or distributed individuals across landscapes. The recent emergence of large scale genomic datasets produced by next generation sequencing methods poses tremendous challenge and opportunity to the field. Perhaps the greatest is to produce, process, curate, archive and analyze spatially referenced genomic datasets in a way such that research is led by a priori hypotheses regarding how environmental heterogeneity and temporal dynamics interact to affect gene flow and selection. The papers in the Research Topic cover a broad range of topics under this area of focus, from reviews of the emergence of landscape genetics, to best practices in spatial analysis of genetic data. The compilation, like the emerging field itself, is eclectic and illustrates the scope of both the challenges and opportunities of this emerging field.
Titolo autorizzato: The Least Cost Path From Landscape Genetics to Landscape Genomics  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910346741703321
Lo trovi qui: Univ. Federico II
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