Data from: Hierarchical population structure and habitat differences in a highly mobile marine species: the Atlantic spotted dolphin ...
Recent molecular studies have shown that highly mobile species with continuous distributions can exhibit fine-scale population structure. In this context, we assessed genetic structure within a marine species with high dispersal potential, the Atlantic spotted dolphin (Stenella frontalis). Using 19...
| Main Authors: | , |
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| Format: | Dataset |
| Language: | English |
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Dryad
2014
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| Online Access: | https://dx.doi.org/10.5061/dryad.j697v https://datadryad.org/stash/dataset/doi:10.5061/dryad.j697v |
| Summary: | Recent molecular studies have shown that highly mobile species with continuous distributions can exhibit fine-scale population structure. In this context, we assessed genetic structure within a marine species with high dispersal potential, the Atlantic spotted dolphin (Stenella frontalis). Using 19 microsatellite loci and mitochondrial control region sequences, population structure was investigated in the western North Atlantic, the Gulf of Mexico and the Azores Islands. Analyses of the microsatellite data identified four distinct genetic clusters, which were supported by the control region sequences. The highest level of divergence was seen between two clusters corresponding to previously-described morphotypes that inhabit oceanic and shelf waters. The combined morphological and genetic evidence suggests these two lineages are on distinct evolutionary trajectories and could be considered distinct subspecies despite their parapatry. Further analysis of the continental shelf cluster resulted in three groups: ... : GSI files-"GSI_assignments_labels" = cluster assignment for each individual included in this analysis - "sfro_GSI_tree.phy" = phylip file containing sequences for all individuals included in this analysis -"100rooted.tre" = 100 bootstrap trees generated using PhyML and used to calculate the gsiTGSI.zipIM filesIM input file and command line: "Sfro_2POPs_MtCR_IM" = IM input file "IM_command_line" = IM command lineIM.zipR script: R_Get_sample_Depth"R_Get_sample_Depth.R" = This script was used to retrieve the depth of each sampling location.R_Get_sample_Depth.RR script: R_Get_sample_Value"R_Get_sample_Value.R" = This script was used to retrieve values of environmental data (present code: example for the turbidity data) for each sampling location.R_Get_sample_Value.RSample_location_micros"Sample_location_Micros.xls" = file containing each sample information (sex, collection date, region of collection) and microsatellite dataViricel_mtDNA_alignment"Viricel_mtDNA_alignment.fasta" = alignment of all mitochondrial ... |
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