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Genome-wide DNA methylation analysis using next generation sequencing to reveal candidate genes responsible for boar taint in pigs

ABSTRACT: Boar taint (BT) is an offensive flavor observed in non-castrated male pigs that reduces the carcass price. Surgical castration effectively avoids the taint but is associated with animal welfare concerns. The functional annotation of farm animal genomes (FAANG) for understanding the biology of complex traits and diseases can be used in the selection of breeding animals to achieve favorable phenotypic outcomes. The characterization of pig epigenomes/methylation changes between animals with high and low BT and genome-wide epigenetic markers that can predict BT are lacking. Reduced representation bisulfite sequencing (RRBS) of DNA methylation patterns based on next generation sequencing (NGS) is an efficient technology to identify candidate epigenetic biomarkers associated with BT. Three different BT levels were analyzed using RRBS data to calculate the methylation levels of cytosine. The co-analysis of differentially methylated cytosines (DMCs) identified by this study and differentially expressed (DE) genes identified by previous study found 32 significant co-located genes. The joint analysis of GO terms and pathways revealed that methylation and gene expression of seven candidate genes were associated with BT; in particular, FASN plays a key role in fatty acid biosynthesis, and PEMT might be involved in estrogen regulation and the development of BT. This study is the first to report the genome-wide DNA methylation profiles of BT in pigs using NGS and summarize candidate genes associated with epigenetic markers of BT, which could contribute to the understanding of functional biology of BT traits and selective breeding of pigs against BT based on epigenetic biomarkers.

ORGANISM(S): Sus scrofa

PROVIDER: GSE129385 | GEO | 2019/10/01

REPOSITORIES: GEO

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Project description:Boar taint is an offensive odour and flavour from developed in a proportion of non-castrated male pigs (boars). Surgical castration is an effective solution but is under debate due to animal welfare concerns. Gene-based selection for low boar taint has been proposed as concentrations of the main compounds responsible for boar taint (androstenone, skatole and indole [ASI]) exhibit heritability but candidate biomarkers are lacking. The aims of this study were to identify expression quantitative trait loci (eQTLs) associated with ASI in order to aid development of candidate biomarkers and to generate insights into biological pathways. Gene expression profiles were obtained by RNA-Seq from testis of Danish Duroc × Landrace/Yorkshire boars fed either a control or chicory-added diet and genotyping was conducted with a high density SNP panel. A tendency (P = 0.052) of lowered ASI concentrations was found in the chicory group. Furthermore, a high correlation was found between estimated breeding values (EBVs) of androstenone and androstenone concentrations (r2 = 0.48). A total of 213 eQTLs, representing 125 unique genes including MVP, COX1, MAP2K4 and RDH16, contained genotypes associated with summed ASI concentrations and of these, six genes were also differentially expressed across ASI/diet groups. The genes were functionally associated with membrane localised proteins, extracellular exosomes, ATP binding, MAPK cascade and oxidative stress. The highest densities of the eQTLs were on pig chromosomes (SSC) SSC18, SSC12, SSC2, SSC7 and SSC14, in that order. A total of 42 known porcine traits were enriched by the genomic coordinates, including health, meat quality and one reproduction trait. A total of 33 candidate eQTLs enriched known genomic coordinates for androstenone and odour intensity in fat. Our findings suggests that careful monitoring of important productions parameters is necessary, if gene-based selection is performed with markers located within the genomic coordinates of the candidate eQTLs or the eQTLs themselves.

Project description:Alpine goat phenotypes for quality components have been routinely recorded for many years and deposited in the Council on Dairy Cattle Breeding (CDCB) repository. The data collected were used to conduct an exploratory genome-wide association study (GWAS) from 72 female Alpine goats originating from locations throughout the U.S. Genotypes were identified with the Illumina Goat 50K single nucleotide polymorphisms (SNP) Beadchip. The analysis used a polygenic model where the dropping criteria was the Call Rate ≥ 0.95. The initial dataset was composed of ~ 60,000 rows of SNPs, 21 columns of phenotypic traits and composed of 53,384 scaffolds containing other informative data points used for genomic predictive power. Phenotypic association with the 50KBeadchip revealed 26,074 reads of candidate genes. These candidate genes segregated as separate novel SNPs and were identified as statistically significant regions for genome and chromosome level trait associations. Candidate genes associated differently for each of the following phenotypic traits: test day milk yield (13,469 candidate genes), test day protein yield (25,690 candidate genes), test day fat yield (25,690 candidate genes), percentage protein (25,690 candidate genes), percentage fat (25,690 candidate genes), and percentage lactose content (25,690 candidate genes). The outcome of this study supports elucidation of novel genes that are important for livestock species in association to key phenotypic traits. Validation towards the development of marker-based selection that provide precision breeding methods will thereby increase breeding value. Specific aims: 1) Improve on contributions to the phenotype repository, the Council on Dairy Cattle Breeding (CDCB) for milk quality traits that are economically important for goat production while developing a corresponding DNA repository for each of the animals with significant genotype-phenotype associations. 2) Develop genomic prediction tools and provide data for a better database for tools to predict phenotypic traits by initially using the high density Goat50KSNP BeadChip for the selection of more specific SNPs associated with select signatures (genes) for phenotypic traits in American Alpine goats. 3) To establish whether a low number of goat subjects (< 300 goats) will provide statistically significant (p < 0.05) predictive capabilities for desired breeding traits in American Alpine dairy goats.

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Genome-wide DNA methylation analysis using next generation sequencing to reveal candidate genes responsible for boar taint in pigs

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