A combined Genotyping By Sequencing (GBS) and methylated DNA immunoprecipitation (MeDIP) protocol was used to identify—in parallel—genetic variation (Genomic-Wide Association Studies (GWAS) and epigenetic differences of Differentially Methylated Regions (DMR) in the genome of spermatozoa from the porcine animal model. Breeding boars with good semen quality (n = 11) and specific and well-documented differences in fertility (farrowing rate, FR) and prolificacy (litter size, LS) (n = 7) in artificial insemination programs, using combined FR and LS, were categorized as High Fertile (HF, n = 4) or Low Fertile (LF, n = 3), and boars with Unknown Fertility (UF, n = 4) were tested for eventual epigenetical similarity with those fertility-proven. We identified 165,944 Single Nucleotide Polymorphisms (SNPs) that explained 14–15% of variance among selection lines. Between HF and LF individuals (n = 7, 4 HF and 3 LF), we identified 169 SNPs with p ≤ 0.00015, which explained 58% of the variance. For the epigenetic analyses, we considered fertility and period of ejaculate collection (late-summer and mid-autumn). Approximately three times more DMRs were observed in HF than in LF boars across these periods. Interestingly, UF boars were clearly clustered with one of the other HF or LF groups. The highest differences in DMRs between HF and LF experimental groups across the pig genome were located in the chr 3, 9, 13, and 16, with most DMRs being hypermethylated in LF boars. In both HF and LF boars, DMRs were mostly hypermethylated in late-summer compared to mid-autumn. Three overlaps were detected between SNPs (p ≤ 0.0005, n = 1318) and CpG sites within DMRs. In conclusion, fertility levels in breeding males including FR and LS can be discerned using methylome analyses. The findings in this biomedical animal model ought to be applied besides sire selection for andrological diagnosis of idiopathic sub/infertility.

Epigenetics works as an interface between the individual and its environment to provide phenotypic plasticity to increase individual adaptation capabilities. Recently, a wide variety of epi-genetic findings have indicated evidence for its application in the development of putative epi-biomarkers of stress in farm animals. The purpose of this study was to evaluate previously reported stress epi-biomarkers in swine and encourage researchers to investigate potential paths for the development of a robust molecular tool for animal welfare certification. In this literature review, we report on the scientific concerns in the swine production chain, the management carried out on the farms, and the potential implications of these practices for the animals’ welfare and their epigenome. To assess reported epi-biomarkers, we identified, from previous studies, potentially stress-related genes surrounding epi-biomarkers. With those genes, we carried out a functional enrichment analysis of differentially methylated regions (DMRs) of the DNA of swine subjected to different stress-related conditions (e.g., heat stress, intrauterine insult, and sanitary challenges). We identified potential epi-biomarkers for target analysis, which could be added to the current guidelines and certification schemes to guarantee and certify animal welfare on farms. We believe that this technology may have the power to increase consumers’ trust in animal welfare.

Introduction: Cryptorchidism is a hereditary anomaly characterized by the incomplete descent of one or both testicles to the scrotum. One of the challenges of this anomaly is that the retained testicle maintains its endocrine function. As a consequence, cryptorchid animals produce hormone-tainted meat in comparison to castrated animals and are likely to be more aggressive. Cryptorchidism can lead to reduced animal welfare outcomes and cause economic losses. Identifying genetic markers for cryptorchidism is an essential step toward mitigating these negative outcomes and may facilitate genome manipulation to reduce the occurrence of cryptorchidism. Attempts to identify such markers have used genome-wide association studies. Using whole-exome sequencing, we aimed to identify single nucleotide polymorphisms (SNPs) in the coding regions of cryptorchid pigs and to characterize functional pathways concerning these SNPs. Methods: DNA was extracted and sequenced from 5 healthy and 5 cryptorchid animals from the Landrace breed, using the Illumina HiSeq 2500 platform. Data were pre-processed using the SeqyClean tool and further mapped against the swine reference genome (Sus scrofa 11.1) using BWA software. GATK was used to identify polymorphisms (SNPs and InDels), which were annotated using the VEP tool. Network prediction and gene ontology enrichment analysis were conducted using the Cytoscape platform, and STRING software was used for visualization. Results: A total of 63 SNPs were identified across the genes PIGB, CCPG1, COMMD9, LDLRAD3, TRIM44, MYLPF, SEPTIN, ZNF48, TIA1, FAIM2, KRT18, FBP1, FBP2, CTSL, DAPK1, DHX8, GPR179, DEPDC1B, ENSSSCG00000049573, ENSSSCG00000016384, ENSSSCG00000022657, ENSSSCG00000038825, and ENSSSCG00000001229. Using pathway enrichment analyses and network prospection, we have identified the following significant adjusted p value threshold of 0.001 involved with the biological function pathways of estrogen signaling, cytoskeleton organization, and the pentose phosphate pathway. Conclusion: Our data suggest the involvement of new SNPs and genes in developing cryptorchidism in pigs. However, further studies are needed to validate our results in a larger cohort population. Variations in the GPR179 gene, with implications at the protein level, may be associated with the appearance of this anomaly in the swine. Finally, we are showing that the estrogen signaling pathway may be involved in the pathophysiological mechanisms of this congenital anomaly as previously reported in GWAS.