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10 results for “Arctocephalus gazella”
Fig. 2 in Comparative analysis of the diet of Arctocephalus gazella (Pinnipedia), at two localities of the South Shetland Islands, with emphasis on the fish component
Fig. 2. Estimated standard length frequency distribution of Gymnoscopelus nicholsi (Gilbert, 1911), preyed on by Antarctic fur seals Arctocephalus gazella (Peters, 1875), at Stranger Point and Duthoit Point, South Shetland Islands, in February 2012.
Fig. 1 in Comparative analysis of the diet of Arctocephalus gazella (Pinnipedia), at two localities of the South Shetland Islands, with emphasis on the fish component
Fig. 1. The study area at South Shetland Islands: Stranger Point, King George Island/Isla 25 de Mayo and Duthoit Point, Nelson Island (modified from MALVÉ et al., 2014 and BRAUN et al., 2017).
Fig. 4 in Comparative analysis of the diet of Arctocephalus gazella (Pinnipedia), at two localities of the South Shetland Islands, with emphasis on the fish component
Fig. 4. Estimated standard length frequency distribution of Electrona antarctica (Gunther, 1878) preyed on by Arctocephalus gazella (Peters, 1875), at both sampling sites, Stranger Point and Duthoit Point, South Shetland Islands, in February 2012.
Fig. 3 in Comparative analysis of the diet of Arctocephalus gazella (Pinnipedia), at two localities of the South Shetland Islands, with emphasis on the fish component
Fig. 3. Estimated standard length frequency distribution of Pleuragramma antarctica (Boulenger, 1902) preyed on by Arctocephalus gazella (Peters, 1875), at both sampling sites, Stranger Point and Duthoit Point, South Shetland Islands, in February 2012.
Data from: Refinement of the Antarctic fur seal (Arctocephalus gazella) reference genome increases continuity and completeness
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Data from: Terrestrial spatial distribution and summer abundance of Antarctic fur seals (Arctocephalus gazella) near Palmer Station, Antarctica, from drone surveys
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Data from: Gene discovery in the Antarctic fur seal (Arctocephalus gazella) skin transcriptome
Next-generation sequencing provides a powerful new approach for developing functional genomic tools for nonmodel species, helping to narrow the gap between studies of model organisms and those of natural populations. Consequently, massively parallel 454 sequencing was used to characterize a normalized cDNA library derived from skin biopsy samples of twelve Antarctic fur seal (Arctocephalus gazella) individuals. Over 412 Mb of sequence data were generated, comprising 1.4 million reads of average length 286 bp. De novo assembly using Newbler 2.3 yielded 156 contigs plus 22 869 isotigs, which in turn clustered into 18 576 isogroups. Almost half of the assembled transcript sequences showed significant similarity to the nr database, revealing a functionally diverse array of genes. Moreover, 97.9% of these mapped to the dog (Canis lupis familiaris) genome, with a strong positive relationship between the number of sequences locating to a given chromosome and the length of that chromosome in the dog indicating a broad genomic distribution. Average depth of coverage was also almost 20-fold, sufficient to detect several thousand putative microsatellite loci and single nucleotide polymorphisms. This study constitutes an important step towards developing genomic resources with which to address consequential questions in pinniped ecology and evolution. It also supports an earlier but smaller study showing that skin tissue can be a rich source of expressed genes, with important implications for studying the genomics not only of marine mammals, but also more generally of species that cannot be destructively sampled.
Data from: Exploring the mechanisms underlying a heterozygosity-fitness correlation for canine size in the Antarctic fur seal Arctocephalus gazella
Although heterozygosity-fitness correlations (HFCs) are widely reported in the literature, most studies use too few markers to allow the proximate mechanisms to be convincingly resolved. Two competing hypotheses have been proposed: the general effects hypothesis, in which marker heterozygosity correlates with genome-wide heterozygosity and hence the inbreeding coefficient f, and the local effects hypothesis, in which one or more of the markers by chance exhibit associative overdominance. To explore the relative contributions of general and local effects in a free-ranging marine mammal population, we revisited a strong HFC found using nine microsatellite loci for canine tooth size in 84 male Antarctic fur seals Arctocephalus gazella (Hoffman et al. 2010). Increasing the number of markers to 76, we find that heterozygosity is uncorrelated across markers, indicating that inbred individuals are rare or absent. Similarly, while the HFC based on overall heterozygosity is lost, stochastic simulations indicate that when an HFC is due to inbreeding depression, increasing marker number effectively invariably strengthens the HFC. Together these observations argue strongly that the original HFC was not due to inbreeding depression. In contrast, a subset of markers show individually significant effects, and these are non-randomly distributed across the marker panel, being preferentially associated with markers cloned from other species. Using BLAST searches, we were able to locate 94% of loci to unique locations in the dog genome, but the local genes are functionally diverse, and the majority cannot be linked directly to growth. Our results suggest that inbreeding depression contributes little if at all to the relationship between heterozygosity and tooth size, but that instead the primary mechanism involves associative overdominance. These findings contribute to a growing body of evidence suggesting that general effects are likely to be uncommon in natural populations
Data from: Exploring the mechanisms underlying a heterozygosity-fitness correlation for canine size in the Antarctic fur seal Arctocephalus gazella
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Data from: Gene discovery in the Antarctic fur seal (Arctocephalus gazella) skin transcriptome
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