Unveiling Genetic Potential for Equine Meat Production: A Bioinformatics Approach.
Authors: Šimon Martin, Kaić Ana, Potočnik Klemen
Journal: Animals : an open access journal from MDPI
Summary
# Editorial Summary Horsemeat production offers a sustainable alternative to conventional livestock, prompting researchers to identify genetic markers that could improve carcass yields through selective breeding. Using bioinformatic methods, Martin and colleagues analysed the GeneSeek Equine genomic panel to locate SNPs associated with meat production traits, cross-referencing orthologous genes in cattle and identifying those within quantitative trait loci (QTLs) for body size and weight. From 268 markers initially examined across 57 genes, the team prioritised 27 SNPs in 22 genes, with particularly strong candidates emerging in LCORL, LASP1, IGF1R and MSTN—genes with well-established roles in muscle development and growth. These findings could enable farriers, vets and breeding consultants to incorporate genomic information into selective breeding programmes, particularly for smaller-scale producers seeking to optimise meat yields; however, the study relied entirely on computational analysis rather than experimental validation, meaning these markers require functional testing before widespread adoption in breeding decisions. Future large-scale studies combining GWAS and genomic prediction methods will be essential to confirm these associations and expand the trait profile beyond meat yield alone.
Read the full abstract on PubMed
Practical Takeaways
- •Genetic markers identified may support selective breeding programs for meat production in horses, particularly for smallholder farmers seeking to improve meat yield
- •These findings provide a foundation for future genomic breeding value predictions and large-scale GWAS studies, but require experimental validation before practical implementation
- •Markers in growth-related genes (IGF1R, MSTN) and body composition genes (LASP1, LCORL) could inform breeding decisions if validated in larger populations
Key Findings
- •27 prioritized SNP markers in 22 genes related to meat production were identified from 268 markers in 57 genes
- •Notable markers were found in LCORL, LASP1, IGF1R, and MSTN genes with relevance to meat yield
- •Bioinformatics approach identified orthologous genes from cattle QTLs for body size and weight applicable to equine genomics
- •Study lacks experimental validation and represents computational prediction rather than empirical evidence