Filters: Tags: {"scheme":"USGS Publications Warehouse"} (X) > Categories: Publication (X) > Extensions: Shapefile (X) > partyWithName: Michael K. Schwartz (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Citation (2) Types Citation (2) Downloadable (2) Map Service (2) OGC WFS Layer (2) OGC WMS Layer (2) Shapefile (2) Contacts Gordon Luikart Gretchen H. Roffler Kevin Sage Kristy L. Pilgrim Layne G. Adams More... Categories Data (2) Tag Types Publication (2) Tags (with Scheme=USGS Publications Warehouse) evolutionary applications (1) molecular ecology resources (1) View Results as: JSON ATOM CSV

SNP discovery in candidate adaptive genes using exon capture in a free-ranging alpine ungulate Identification of genes underlying genomic signatures of natural selection is key to understanding adaptation to local conditions. We used targeted resequencing to identify SNP markers in 5321 candidate adaptive genes associated with known immunological, metabolic and growth functions in ovids and other ungulates. We selectively targeted 8161 exons in protein-coding and nearby 5′ and 3′ untranslated regions of chosen candidate genes. Targeted sequences were taken from bighorn sheep (Ovis canadensis) exon capture data and directly from the domestic sheep genome (Ovis aries v. 3; oviAri3). The bighorn sheep sequences used in the Dall's sheep (Ovis dalli dalli) exon capture aligned to 2350 genes on the oviAri3 genome... Categories: Data, Publication; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Molecular Ecology Resources Identification of landscape features influencing gene flow: How useful are habitat selection models? Understanding how dispersal patterns are influenced by landscape heterogeneity is critical for modeling species connectivity. Resource selection function (RSF) models are increasingly used in landscape genetics approaches. However, because the ecological factors that drive habitat selection may be different from those influencing dispersal and gene flow, it is important to consider explicit assumptions and spatial scales of measurement. We calculated pairwise genetic distance among 301 Dall's sheep (Ovis dalli dalli) in southcentral Alaska using an intensive noninvasive sampling effort and 15 microsatellite loci. We used multiple regression of distance matrices to assess the correlation of pairwise genetic distance... Categories: Data, Publication; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Baseline 5-Baseline data, species of concern: Dall-Thinhorn sheep, Evolutionary Applications