ArticlePloS one2015
A deep catalog of autosomal single nucleotide variation in the pig.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 30 citations in OpenAlex.
- Multi-dimensional annotation of porcine variants using genomic and epigenomic features in pigs.BMC biology · 2025Article
- Exploring genetic variation and population structure in a threatened species, Noturus placidus, with whole-genome sequence data.G3 (Bethesda, Md.) · 2022Article
- Benchmarking the performance of Pool-seq SNP callers using simulated and real sequencing data.Molecular ecology resources · 2021Article
- Investigation of ancestral alleles in the Bovinae subfamily.BMC genomics · 2021Article
- Whole-genome SNP markers reveal conservation status, signatures of selection, and introgression in Chinese Laiwu pigs.Evolutionary applications · 2021Article
- Omics Application in Animal Science-A Special Emphasis on Stress Response and Damaging Behaviour in Pigs.Genes · 2020Review
- Whole-genome resequencing analysis of 20 Micro-pigs.Genes & genomics · 2020Article
- A functional regulatory variant of MYH3 influences muscle fiber-type composition and intramuscular fat content in pigs.PLoS genetics · 2019Article
- Removal of alleles by genome editing (RAGE) against deleterious load.Genetics, selection, evolution : GSE · 2019Article
- Loss of function mutations in essential genes cause embryonic lethality in pigs.PLoS genetics · 2019Article
- Genome-wide detection of selection signatures in Chinese indigenous Laiwu pigs revealed candidate genes regulating fat deposition in muscle.BMC genetics · 2018Article
- A Pathway-Centered Analysis of Pig Domestication and Breeding in Eurasia.G3 (Bethesda, Md.) · 2017Article
- Article
- Construction of a large collection of small genome variations in French dairy and beef breeds using whole-genome sequences.Genetics, selection, evolution : GSE · 2016Article
- Identification of protein-damaging mutations in 10 swine taste receptors and 191 appetite-reward genes.BMC genomics · 2016Article
- Identification of Low-Confidence Regions in the Pig Reference Genome (Sscrofa10.2).Frontiers in genetics · 2015Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A comprehensive catalog of variability in a given species is useful for many important purposes, e.g., designing high density arrays or pinpointing potential mutations of economic or physiological interest. Here we provide a genomewide, worldwide catalog of single nucleotide variants by simultaneously analyzing the shotgun sequence of 128 pigs and five suid outgroups. Despite the high SNP missing rate of some individuals (up to 88%), we retrieved over 48 million high quality variants. Of them, we were able to assess the ancestral allele of more than 39M biallelic SNPs. We found SNPs in 21,455 out of the 25,322 annotated genes in pig assembly 10.2. The annotation showed that more than 40% of the variants were novel variants, not present in dbSNP. Surprisingly, we found a large variability in transition / transversion rate along the genome, which is very well explained (R2=0.79) primarily by genome differences in in CpG content and recombination rate. The number of SNPs per window also varied but was less dependent of known factors such as gene density, missing rate or recombination (R2=0.48). When we divided the samples in four groups, Asian wild boar (ASWB), Asian domestics (ASDM), European wild boar (EUWB) and European domestics (EUDM), we found a marked correlation in allele frequencies between domestics and wild boars within Asia and within Europe, but not across continents, due to the large evolutive distance between pigs of both continents (~1.2 MYA). In general, the porcine species showed a small percentage of SNPs exclusive of each population group. EUWB and EUDM were predicted to harbor a larger fraction of potentially deleterious mutations, according to the SIFT algorithm, than Asian samples, perhaps a result of background selection being less effective due to a lower effective population size in Europe.
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