Dataset Information

Population admixture in Chinese and European Sus scrofa.

ABSTRACT: Relationships between different populations were investigated using Porcine 60?K data from 1,135 domestic pigs and wild boars across Europe and China. The results indicate that most European breeds have been introgressed with Chinese ancestry, but the extent of introgression varies considerably among breeds. Moreover, the main source of this introgression is pigs from South China, closely related to Bamaxiang and Dongshan pigs. Contributions from East and Central Chinese pig breeds are also detectable. Phylogeny reconstruction places European wild boars among European domestic breeds. Coalescent simulations indicate that this may be the result of gene flow from European wild boars to European domestic pigs. These results will facilitate further genomic studies such as genome-wide association studies, selection signature detection and genomic prediction.

SUBMITTER: Chen M

PROVIDER: S-EPMC5640611 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Population admixture in Chinese and European Sus scrofa.

Chen Minhui M Su Guosheng G Fu Jinluan J Zhang Qin Q Wang Aiguo A Sandø Lund Mogens M Guldbrandtsen Bernt B

Scientific reports 20171013 1

Relationships between different populations were investigated using Porcine 60 K data from 1,135 domestic pigs and wild boars across Europe and China. The results indicate that most European breeds have been introgressed with Chinese ancestry, but the extent of introgression varies considerably among breeds. Moreover, the main source of this introgression is pigs from South China, closely related to Bamaxiang and Dongshan pigs. Contributions from East and Central Chinese pig breeds are also dete ...[more]

PMID: 29030577

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Project description:BackgroundIn recent years, the wildlife/livestock interface has attracted increased attention due to disease transmission between wild and domestic animal populations. The ongoing spread of African swine fever (ASF) in European wild boar (Sus scrofa) emphasize the need for further understanding of the wildlife/livestock interface to prevent disease spill-over between the wild and domestic populations. Although wild boar may also act as a potential source for other infectious disease agents, ASF is currently the most severe threat from wild boar to domestic pigs. To gather information on the wild boar situation at commercial pig producing farms in Sweden, a digital questionnaire survey was distributed through the animal health services.ResultsMost pigs produced for commercial purposes in Sweden are raised without outdoor access. Of the 211 responding pig producers, 80% saw wild boar or signs of wild boar activity in the vicinity of their farm at least once during the year. Observations were significantly correlated with geographical region, but there was no correlation between farm characteristics (farm size, main type of production, outdoor access) and observed wild boar presence or proximity. However, a reported higher frequency of wild boar observations was positively correlated with the observations being made in closer proximity to the farm. Hunting and strategic baiting were the most common mitigation strategies used to keep wild boar at bay. Of the 14 farms raising pigs with outdoor access, 12 responded that these pigs could be raised solely indoors if needed. Pigs with outdoor access are required to be fenced in, but double fencing in these outdoor pig enclosures was not practiced by all. A perimeter fence surrounding any type of pig farm was very rare. More than half of the producers that grew crops with intended use for pigs reported crop damage by wild boar.ConclusionThis study shows that although pigs raised for commercial purposes in Sweden are, to a large extent, kept indoors the potential for indirect contact with wild boar exists and must be considered. Variable local situations regarding wild boar abundance may require an adaptive approach regarding biosecurity efforts.

Project description:BACKGROUND:In animal breeding, identification of causative genetic variants is of major importance and high economical value. Usually, the number of candidate variants exceeds the number of variants that can be validated. One way of prioritizing probable candidates is by evaluating their potential to have a deleterious effect, e.g. by predicting their consequence. Due to experimental difficulties to evaluate variants that do not cause an amino-acid substitution, other prioritization methods are needed. For human genomes, the prediction of deleterious genomic variants has taken a step forward with the introduction of the combined annotation dependent depletion (CADD) method. In theory, this approach can be applied to any species. Here, we present pCADD (p for pig), a model to score single nucleotide variants (SNVs) in pig genomes. RESULTS:To evaluate whether pCADD captures sites with biological meaning, we used transcripts from miRNAs and introns, sequences from genes that are specific for a particular tissue, and the different sites of codons, to test how well pCADD scores differentiate between functional and non-functional elements. Furthermore, we conducted an assessment of examples of non-coding and coding SNVs, which are causal for changes in phenotypes. Our results show that pCADD scores discriminate between functional and non-functional sequences and prioritize functional SNVs, and that pCADD is able to score the different positions in a codon relative to their redundancy. Taken together, these results indicate that based on pCADD scores, regions with biological relevance can be identified and distinguished according to their rate of adaptation. CONCLUSIONS:We present the ability of pCADD to prioritize SNVs in the pig genome with respect to their putative deleteriousness, in accordance to the biological significance of the region in which they are located. We created scores for all possible SNVs, coding and non-coding, for all autosomes and the X chromosome of the pig reference sequence Sscrofa11.1, proposing a toolbox to prioritize variants and evaluate sequences to highlight new sites of interest to explain biological functions that are relevant to animal breeding.

Dataset Information

Population admixture in Chinese and European Sus scrofa.

Publications

Population admixture in Chinese and European Sus scrofa.

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