ArticleGenetics, selection, evolution : GSE2025
Merging metabolomics and genomics provides a catalog of genetic factors that influence molecular phenotypes in pigs linking relevant metabolic pathways.
Article in Genetics, selection, evolution : GSE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Metabolomic profiling reveals candidate biomarkers and key metabolic pathways associated with milk production performance in Sapera dairy goats.Veterinary world · 2026Article
- Differential metabolomic effects of progestagen-based estrus synchronisation in South African Dohne Merino ewes.Tropical animal health and production · 2026Article
- Modest contribution of metabolomic data to genomic prediction of breeding values for feed conversion ratio in pigs.Genetics, selection, evolution : GSE · 2026Article
- Genetic Selection for Growth Rate Reshapes the Plasma Metabolome of Rabbit Does Derived from Vitrified Embryos: Insights into Nutrient Metabolism and Productive Efficiency.Veterinary sciences · 2026Article
- Integrative Genomic and Metabolomic Analysis Identifies mQTLs Associated with Genetic Selection for Tenderness in Nellore Cattle.Metabolites · 2025Article
- Comparative analysis of targeted metabolomic profiles reveals plasma metabolite differences across three Italian heavy pig breeds.Scientific reports · 2025Article
- Description of metabolic differences between castrated males and intact gilts obtained from high-throughput metabolomics of porcine plasma.Journal of animal science · 2025Article
- The eubiotic perspective on utilization of tannins in phytotherapy and nutrition of pigs.Frontiers in pharmacology · 2025Review
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19 authors.
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Abstract
backgroundMetabolomics opens novel avenues to study the basic biological mechanisms underlying complex traits, starting from characterization of metabolites. Metabolites and their levels in a biofluid represent simple molecular phenotypes (metabotypes) that are direct products of enzyme activities and relate to all metabolic pathways, including catabolism and anabolism of nutrients. In this study, we demonstrated the utility of merging metabolomics and genomics in pigs to uncover a large list of genetic factors that influence mammalian metabolism.
resultsWe obtained targeted characterization of the plasma metabolome of more than 1300 pigs from two populations of Large White and Duroc pig breeds. The metabolomic profiles of these pigs were used to identify genetically influenced metabolites by estimating the heritability of the level of 188 metabolites. Then, combining breed-specific genome-wide association studies of single metabolites and their ratios and across breed meta-analyses, we identified a total of 97 metabolite quantitative trait loci (mQTL), associated with 126 metabolites. Using these results, we constructed a human-pig comparative catalog of genetic factors influencing the metabolomic profile. Whole genome resequencing data identified several putative causative mutations for these mQTL. Additionally, based on a major mQTL for kynurenine level, we designed a nutrigenetic study feeding piglets that carried different genotypes at the candidate gene kynurenine 3-monooxygenase (KMO) varying levels of tryptophan and demonstrated the effect of this genetic factor on the kynurenine pathway. Furthermore, we used metabolomic profiles of Large White and Duroc pigs to reconstruct metabolic pathways using Gaussian Graphical Models, which included perturbation of the identified mQTL.
conclusionsThis study has provided the first catalog of genetic factors affecting molecular phenotypes that describe the pig blood metabolome, with links to important metabolic pathways, opening novel avenues to merge genetics and nutrition in this livestock species. The obtained results are relevant for basic and applied biology and to evaluate the pig as a biomedical model. Genetically influenced metabolites can be further exploited in nutrigenetic approaches in pigs. The described molecular phenotypes can be useful to dissect complex traits and design novel feeding, breeding and selection programs in pigs.
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