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5 results for “European wild boar”
Model outputs for update of occurrence and hunting yield-based data models for wild boar at European scale: new approach to handle the bioregion effect, May 2020 update
<p>These maps are models obtained in intermediate phases of the ENETWILD project based on available information. There are frequent updates in order to improve the results.<br> <br> Objectives:<br> <br> - Incorporate additional data to provide new maps of wild boar suitability with a resolution of 2x2 km >>> file 3_June_2020_suitability_2x2.tif<br> - New model based on hunting yield with different approaches to handle the biorregion effect >>> files 1_June_2020_HY_nut01_10x10_twostep.tif & 2_June_2020_HY_nut01_10x10_pca.tif<br> <br> Model settings and predictors: <br> - Hunting yield modeling including biorregion effect as bioclimatic PCA scores<br> - Hunting yield addressing biorregion effect in a two-step procedure with independent parametrization for each bioregion<br> <br> Conclusions guiding future methodological steps:<br> - For wild boar suitability maps at 2x2 km, additional data on survey effort is critical in the southern bioregion<br> - Hunting yield model predictions at 10x10 km grids overestimated the hunting bag numbers obtained from the external datasets<br> - HY model with independent parametrization for each bioregion performed better that previous and new strategies<br> <br> For further details and methodological approach see the paper:<br> ENETWILD-consortium, P. Acevedo, S .Croft, G C Smith, J. A. Blanco-Aguiar, J. Fernandez-Lopez, M. Scandura, M. Apollonio, E.Ferroglio, Oliver Keuling, M. Sange, S. Zanet, F. Brivio, T. Podgórski, K.Petrović, Soriguer, J. Vicente (2020) update of occurrence and hunting yield-based data models for wild boar at European scale: new approach to handle the bioregion effect. EFSA supporting publication 2020 TO BE COMPLETED<br> <br> Permission for reuse hunting yield outputs is granted under the terms indicated by EFSA.</p>
The de novo assembly of a European wild boar genome revealed unique patterns of chromosomal structural variations and segmental duplications
<div> <div> <p><a href="https://onlinelibrary.wiley.com/doi/10.1111/age.13181">https://onlinelibrary.wiley.com/doi/10.1111/age.13181</a></p> <h1>The de novo assembly of a European wild boar genome revealed unique patterns of chromosomal structural variations and segmental duplications</h1> <div> </div> <div> <div> <div> <div><a href="https://onlinelibrary.wiley.com/authored-by/Chen/Jianhai">Jianhai Chen</a>, <a href="https://onlinelibrary.wiley.com/authored-by/Zhong/Jie">Jie Zhong</a>, <a href="https://onlinelibrary.wiley.com/authored-by/He/Xuefei">Xuefei He</a>, <a href="https://onlinelibrary.wiley.com/authored-by/Li/Xiaoyu">Xiaoyu Li</a>, <a href="https://onlinelibrary.wiley.com/authored-by/Ni/Pan">Pan Ni</a>, <a href="https://onlinelibrary.wiley.com/authored-by/Safner/Toni">Toni Safner</a>, <a href="https://onlinelibrary.wiley.com/authored-by/%C5%A0prem/Nikica">Nikica Šprem</a>, <a href="https://onlinelibrary.wiley.com/authored-by/Han/Jianlin">Jianlin Han</a></div> </div> </div> </div> <p>The rapid progress of sequencing technology has greatly facilitated the de novo genome assembly of pig breeds. However, the assembly of the wild boar genome is still lacking, hampering our understanding of chromosomal and genomic evolution during domestication from wild boars into domestic pigs. Here, we sequenced and de novo assembled a European wild boar genome (ASM2165605v1) using the long-range information provided by 10× Linked-Reads sequencing. We achieved a high-quality assembly with contig N50 of 26.09 Mb. Additionally, 1.64% of the contigs (222) with lengths from 107.65 kb to 75.36 Mb covered 90.3% of the total genome size of ASM2165605v1 (~2.5 Gb). Mapping analysis revealed that the contigs can fill 24.73% (93/376) of the gaps present in the orthologous regions of the updated pig reference genome (Sscrofa11.1). We further improved the contigs into chromosome level with a reference-assistant scaffolding method. Using the ‘assembly-to-assembly’ approach, we identified intra-chromosomal large structural variations (SVs, length >1 kb) between ASM2165605v1 and Sscrofa11.1 assemblies. Interestingly, we found that the number of SV events on the X chromosome deviated significantly from the linear models fitting autosomes (<em>R</em><sup>2</sup> > 0.64, <em>p</em> < 0.001). Specifically, deletions and insertions were deficient on the X chromosome by 66.14 and 58.41% respectively, whereas duplications and inversions were excessive on the X chromosome by 71.96 and 107.61% respectively. We further used the large segmental duplications (SDs, >1 kb) events as a proxy to understand the large-scale inter-chromosomal evolution, by resolving parental-derived relationships for SD pairs. We revealed a significant excess of SD movements from the X chromosome to autosomes (<em>p</em> < 0.001), consistent with the expectation of meiotic sex chromosome inactivation. Enrichment analyses indicated that the genes within derived SD copies on autosomes were significantly related to biological processes involving nervous system, lipid biosynthesis and sperm motility (<em>p</em> < 0.01). Together, our analyses of the de novo assembly of ASM2165605v1 provides insight into the SVs between European wild boar and domestic pig, in addition to the ongoing process of meiotic sex chromosome inactivation in driving inter-chromosomal interaction between the sex chromosome and autosomes.</p> </div> </div> <div>The work has been pulished here: https://onlinelibrary.wiley.com/doi/full/10.1111/age.13181</div> <div> </div> <div>The current dataset include the genome annotation files.</div> <div> </div> <div>For the whole-genomic assembly, please check NCBI: </div> <div>https://www.ncbi.nlm.nih.gov/datasets/genome/GCA_021656055.1/</div> <div> <table> <tbody> <tr> <th> </th> <th>GenBank</th> </tr> </tbody> <tbody> <tr> <td>Genome size</td> <td>2.5 Gb</td> </tr> <tr> <td>Total ungapped length</td> <td>2.4 Gb</td> </tr> <tr> <td>Number of scaffolds</td> <td>12,642</td> </tr> <tr> <td>Scaffold N50</td> <td>28.3 Mb</td> </tr> <tr> <td>Scaffold L50</td> <td>25</td> </tr> <tr> <td>Number of contigs</td> <td>41,323</td> </tr> <tr> <td>Contig N50</td> <td>157.9 kb</td> </tr> <tr> <td>Contig L50</td> <td>4,562</td> </tr> <tr> <td>GC percent</td> <td>42</td> </tr> <tr> <td>Genome coverage</td> <td>56.0x</td> </tr> <tr> <td>Assembly level</td> <td>Scaffold</td> </tr> </tbody> </table> <p> </p> <h2>Assembly methods</h2> <div>Sequencing technology 10xgenomics Assembly method Supernova v. 2.1.1 <p> </p> <p>part_** are genome fasta for the GCA_021656055.1</p> <p>You could use the following to combine and uncompress.</p> </div> </div> <div> <div> <div><code><span>cat</span> part_* > archive_combined.zip </code></div> </div> <div> <div> </div> <div><code>unzip archive_combined.zip</code></div> </div> </div> <div> </div> <div> </div>
Data from: Genome-wide single nucleotide polymorphism analysis reveals recent genetic introgression from domestic pigs into Northwest European wild boar populations
Open the record for dataset details and reuse information.
Preliminary characterization of gene expression in European wild boar naturally infected with Brucella suis
GEO Series GSE17492. Sus scrofa. 6 samples. Type: Expression profiling by array.
Gene expression profiles of European wild boar naturally infected with Anaplasma phagocytophilum.
GEO Series GSE15766. Sus scrofa. 5 samples. Type: Expression profiling by array.
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