Unveiling genetic potential for equine meat production

ǂa ǂbioinformatics approach

Martin Šimon (Avtor), Ana Kaić (Avtor), Klemen Potočnik (Avtor)

Povzetek

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 LCORL, LASP1, IGF1R, and MSTN. 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.

Ključne besede

konji;meso;prireja;genetika;bioinformatika;

Podatki

Jezik:	Angleški jezik
Leto izida:	2024
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UL BF - Biotehniška fakulteta
UDK:	636.1:637.5
COBISS:	205403651
ISSN:	2076-2615
Št. ogledov:	146
Št. prenosov:	189
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Slovenski jezik
Sekundarne ključne besede:	konji;meso;prireja;genetika;bioinformatika;
Vrsta dela (COBISS):	Članek v reviji
Strani:	22 str.
Letnik:	ǂVol. ǂ14
Zvezek:	ǂiss. ǂ16 [article no.] 2441
Čas izdaje:	2024
DOI:	10.3390/ani14162441
ID:	25194157