Šimon Martin, Kaić Ana, Potočnik Klemen
Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Groblje 3, 1230 Domžale, Slovenia.
Department of Animal Science and Technology, Faculty of Agriculture, University of Zagreb, Svetošimunska 25, 10000 Zagreb, Croatia.
Animals (Basel). 2024 Aug 22;14(16):2441. doi: 10.3390/ani14162441.
In view of the predicted significant increase in global meat production, alternative sources such as horsemeat are becoming increasingly important due to their lower environmental impact and high nutritional value. This study aimed to identify SNP markers on the GeneSeek Genomic Profiler™ Equine (Neogen, Lansing, MI, USA) that are important for horsemeat production traits. First, orthologous genes related to meat yield in cattle and common genes between horses and cattle within QTLs for body size and weight were identified. Markers for these genes were then evaluated based on predicted variant consequences, GERP scores, and positions within constrained elements and orthologous regulatory regions in pigs. A total of 268 markers in 57 genes related to meat production were analyzed. This resulted in 27 prioritized SNP markers in 22 genes, including notable markers in , , , and . These results will benefit smallholder farmers by providing genetic insights for selective breeding that could improve meat yield. This study also supports future large-scale genetic analyses such as GWAS and Genomic Best Linear Unbiased Prediction (GBLUP). The results of this study may be helpful in improving the accuracy of genomic breeding values. However, limitations include reliance on bioinformatics without experimental validation. Future research can validate these markers and consider a wider range of traits to ensure accuracy in equine breeding.
鉴于预计全球肉类产量将大幅增长，马肉等替代来源因其较低的环境影响和高营养价值而变得越来越重要。本研究旨在鉴定GeneSeek基因组分析器™马用版（Neogen公司，美国密歇根州兰辛）上对马肉生产性状重要的单核苷酸多态性（SNP）标记。首先，鉴定了与牛的肉产量相关的直系同源基因以及马和牛在体型和体重的数量性状基因座（QTL）内的共同基因。然后根据预测的变异后果、基因组进化率比较（GERP）分数以及在猪的受限元件和直系同源调控区域内的位置对这些基因的标记进行评估。共分析了与肉生产相关的57个基因中的268个标记。这产生了22个基因中的27个优先SNP标记，包括在[具体基因1]、[具体基因2]、[具体基因3]和[具体基因4]中的显著标记。这些结果将通过为选择性育种提供遗传见解来造福小农户，从而提高肉产量。本研究还支持未来的大规模遗传分析，如全基因组关联研究（GWAS）和基因组最佳线性无偏预测（GBLUP）。本研究结果可能有助于提高基因组育种值的准确性。然而，局限性包括依赖生物信息学而无实验验证。未来的研究可以验证这些标记，并考虑更广泛的性状以确保马育种的准确性。
