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92 results for “Sus scrofa”
Figure 1 in Mitochondrial DNA control region variability of wild boar Sus scrofa with various external phenotypes in Turkey
Figure 1. Location map of the 70 samples examined in this study: black dots indicate local samples of one or more individuals and numbers refer to locality names in Table 1. TT (Turkish Thrace, 1–4), SWA (Southwestern Anatolia, 5–11), CA (Central Anatolia, 12–26), NEA (Northeastern Anatolia, 27–30), and SEA (Southeastern Anatolia, 31–34).
Figure 5 in Mitochondrial DNA control region variability of wild boar Sus scrofa with various external phenotypes in Turkey
Figure 5. Maximum likelihood tree based on 68 haplotypes from 485 wild boar D-loop region sequences (both obtained in this study and downloaded from GenBank). Numbers above or below branches indicate bootstrap support values. Haplogroups: A, Asian; NE, Near Eastern; E1, European E1; E2, European E2. Outgroup taxa are Sus barbatus and Phacochoerus aethiopicus.
Figure 4 in Mitochondrial DNA control region variability of wild boar Sus scrofa with various external phenotypes in Turkey
Figure 4. Bayesian phylogenetic tree constructed from haplotypes of the wild boar (Sus scrofa) samples collected in this study, based on the partial D-loop sequences of mtDNA. Posterior probabilities are indicated at nodes. TR numbers refer to current haplotype numbers in Table 1 and H numbers refer to the published haplotype labels downloaded from GenBank (Table 2). E1: European 1 haplogroup/clade in Figure 5, NE: Near East haplogroup/clade in Figure 5.
Fig. 3 in A comparison of detection methods of Alaria alata mesocercariae in wild boar (Sus scrofa) meat
Fig. 3. Probability of detection of DMS using various methods (Digestion, D + P, Compressor) in relation to numbers of DMS in meat sample (basing on AMT method) (n = 43 for D + P, Digest, n = 19 for Compressor, for details, see Methods).
Fig. 1 in A comparison of detection methods of Alaria alata mesocercariae in wild boar (Sus scrofa) meat
Fig. 1. The scheme of the experiment. Legend: P – prevalence of infection has been determined, I – intensity of infection has been determined, S – sensitivity of method has been determined, DMS – Distomum musculorum suis (mesocercariae of Alaria alata), AMT-reference – Alaria alata mesocercariae migration technique – reference method, Compressor – compressor analysis, Digestion – digestion with digestion stirrer, D + P – modified digestion with Pancreatin® bile pancreatic enzymes.
Fig. 2 in A comparison of detection methods of Alaria alata mesocercariae in wild boar (Sus scrofa) meat
Fig. 2. Mean numbers of DMS in meat sample (30 g) and comparison with the Kruskall Wallis test (X2 = 64.34.03; df = 2; P <0.001, N = 43 in all cases) and pairwise comparison with the Mann-Whitney U test (statistical difference was stated in comparison of pairs: AMT-Digestion and AMT-D + P, p <0.001 in both cases).
Fig. 1 in Toxoplasma gondii and Neospora caninum in invasive wild boars (Sus scrofa) and hunting dogs from Brazil
Fig. 1. Map highlighting the cities where wild boar and hunting dog samples were obtained, Brazil, 2024.
Confocal micrographs and complete dataset of neuromuscular junction morphology of pelvic limb muscles of the pig (Sus scrofa)
<p>This dataset entails the complete NMJ dataset for three pigs and the three muscles analysed for the publication "Comparative anatomy of the mammalian neuromuscular junction" (https://doi.org/10.1111/joa.13260). This includes spreadsheets (.csv) containing morphometric variables of neuromuscular junction morphology generated using NMJ-morph or aNMJ-morph, as well as muscle fibre diameter (MFD) data for completeness. The three muscles analysed are: extensor digitorum longus (EDL), peroneus longus (PL) and soleus (S). Data contains raw microscope images (.nd2), thresholded and cleaned images of pre- and post-synapse (.tif) and the thresholded and cleaned images of the intermediate muscle endplate (.tif) for the muscle soleus since the "aNMJ-morph" macro saves this intermediate image for measurement of endplate variables.</p> <p>The full data set description is in the readme_file.txt.</p>
FIG. 9. — Two young men distributing meat from a domestic pig Sus scrofa Linnaeus, 1758 in Prey into kin: the cosmological role of the pig in the Kelabit Highlands, Sarawak
FIG. 9. — Two young men distributing meat from a domestic pig Sus scrofa Linnaeus, 1758 (berak) at irau in Bario, 1987. Photo credit: Kaz Janowski.
Fig. 1 in Using a spatial mark-resight model to estimate the parameters of a wild pig (Sus scrofa) population in Singapore
Fig. 1. Map showing the location of the Central Catchment Nature Reserve on mainland Singapore. All 27 camera points are indicated with a red circle. Black squares indicate the three camera points added to the 1 km2 grid. The six cage traps are marked with a blue cross. Dotted circles indicate areas the last remaining patches of primary forest in Singapore.
Fig. 3 in Using a spatial mark-resight model to estimate the parameters of a wild pig (Sus scrofa) population in Singapore
Fig. 3. Map of the Central Catchment Nature Reserve showing the day and night fixes of the collared pig. The home ranges are calculated from the monthly 95% Kernel Density Estimate (KDE), while the aggregate home range was calculated from the 99% KDE from all six months. The Seletar Expressway (SLE) is pointed out on the map and the satellite overlay was adapted from Google Earth.
Fig. 2 in Using a spatial mark-resight model to estimate the parameters of a wild pig (Sus scrofa) population in Singapore
Fig. 2. The density map showing the number of activity centres per kilometer square, the locations of the camera points (circles), 143 out of 856 GPS locations from the collared pig (black dots) and the boundary of the Central Catchment Nature Reserve. Only a fraction of the GPS locations was plotted to prevent the colored pixels from being obscured. Each pixel is 1 km2. X and Y coordinates are in kilometers.
Feral pig (Sus scrofa) disturbance facilitates establishment of resource-acquisitive species in Hawaiian forest understories
Open the record for dataset details and reuse information.
Probabilistic genetic identification of wild boar hybridization to support control of invasive wild pigs (Sus scrofa)
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An inbreeding perspective on the effectiveness of wildlife population defragmentation measures: A case study on wild boar (Sus scrofa) of Veluwe, The Netherlands
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Genomic regions associated with pseudorabies virus infection status in naturally infected feral swine (Sus scrofa)
<p class="MsoNormal">Pseudorabies virus (PRV) – the causative agent of Aujeszky's disease – was eliminated from commercial pig production herds in the United States (US) in 2004; however, PRV remains endemic among invasive feral swine (<em>Sus scrofa</em>). The circulation of PRV among abundant, widespread feral swine populations poses a sustained risk for disease spillover to production herds. Risk–based surveillance has been successfully implemented for PRV in feral swine populations in the US. However, understanding the role of host genetics in infection status may offer new insights into the epidemiology and disease dynamics of PRV that can be applied to management strategies. Genetic mechanisms underlying host susceptibility to PRV are relatively unknown; therefore, we sought to identify genomic regions associated with PRV infection status among naturally infected feral swine using genome–wide association studies (GWAS) and gene set enrichment analysis of single nucleotide polymorphism data (GSEA–SNP). Paired serological and <span>genotypic data were collected from </span>6,081 <span>feral swine distributed across the invaded range within the contiguous US. Three complementary study populations were developed for GWAS: 1) comprehensive population consisting of feral swine throughout the invaded range within the contiguous US; 2) population of feral swine under high, but temporally variable PRV infection pressure; and 3) population of feral swine under temporally stable, high PRV infection pressure. We identified one intronic SNP associated with PRV infection status within candidate gene <em>AKAP6 </em>on autosome 7. Various gene sets linked to metabolic pathways were enriched in the GSEA–SNP. Ultimately, improving disease surveillance efforts in feral swine will be critical to further understanding of the role host genetics play in PRV infection status, helping secure the health of commercial pork production.</span></p>
Introgressive hybridisation between domestic pigs (Sus scrofa domesticus) and endemic Corsican wild boars (S. s. meridionalis): effects of human-mediated interventions
<p class="MsoNormal"><span>Owing to the intensified domestication process with artificial trait selection, introgressive hybridisation between domestic and wild species poses a management problem. Traditional free-range livestock husbandry, as practiced in Corsica and Sardinia, is known to facilitate hybridisation between wild boars and domestic pigs (<em>Sus scrofa</em>). Here, we assessed the genetic distinctness and genome-wide domestic pig ancestry levels of the Corsican wild boar subspecies <em>S. s. meridionalis,</em> with reference to its Sardinian conspecifics, employing a genome-wide single nucleotide polymorphism (SNP) assay and mitochondrial control region (mtCR) haplotypes. We also assessed the reliance of morphological criteria and the melanocortin-1 receptor (<em>MC1R</em>) coat colour gene to identify individuals with domestic introgression. While Corsican wild boars showed closest affinity to Sardinian and Italian wild boars compared to other European populations based on principal component analysis, the observation of previously undescribed mtCR haplotypes and high levels of nuclear divergence (Weir's </span><span> </span><span> 0.14) highlighted the genetic distinctness of Corsican <em>S. s. meridionalis</em>. </span><span>Across three complementary analyses of mixed ancestry (i.e., STRUCTURE, PCADMIX, and ELAI), proportions of domestic pig ancestry were estimated at 9.5% in Corsican wild boars, which was significantly higher than in wild boars in Sardinia, where free-range pig keeping was banned in 2012. Comparison of morphologically pure- and hybrid-looking Corsican wild boars suggested a weak correlation between morphological criteria and genome-wide domestic pig ancestry. The study highlighted the usefulness of molecular markers to assess the direct impacts of management practices on gene flow between domestic and wild species.</span></p>
Рис. 2. ЧисΛенность кабанов в разΛичные гоΔы на 10 км маршрута in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh
Рис. 2. ЧисΛенность кабанов в разΛичные гоΔы на 10 км маршрута
Рис. 1. Карта района иссΛеΔований: 1 — Тонашен; 2 — Варнкатаг; 3 — Магавуз in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh
Рис. 1. Карта района иссΛеΔований: 1 — Тонашен; 2 — Варнкатаг; 3 — Магавуз
Fig. 2 in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh
Fig. 2. The number of wild boars in different years in 10 km route
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.