Naslov
Combining novel motion technology and genotype data in an Italian horse native breed

Autori
Asti, Vittoria ; Sabbioni, Alberto ; Menčik, Sven ; Piplica, Aneta ; Ablondi, Michela

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science / - : Wageningen Academic Publishers, 2022, 585-585

ISBN
978-90-8686-385-3

Skup
73rd Annual Meeting of the European Federation of Animal Science (EAAP)

Mjesto i datum
Porto, Portugal, 05.09.2022. - 08.09.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Native breed ; Bardigiano horse ; SNP ; Motion technology
(native breed ; Bardigiano horse ; SNP ; motion technology)

Sažetak
With the advent of genomics, nowadays there is a possibility to further understand the genetic background of economically relevant traits in horses. However, in the case of highly polygenic and complex traits, such as movement traits, this achievement might be more challenging. Application of Genome-Wide Association Studies (GWAS) was successful, especially for highly heritable traits, such as conformation and disease-related traits. Another important aspect to consider is the availability of data collected in a large cohort of animals ; indeed the GWAS approach has been mainly applied in studies with great population size. Nevertheless, combining novel motion technology, which allows more objective measurements, with genotype data might help to further unravel the genetic background of movement traits also in breeds with unavailability of large number of genotyped horses. Thus, in this study, we aimed to perform a GWAS analysis in the Bardigiano horse breed, an Italian breed traditionally used in agriculture. We used the Equisense motion® sensor, which consists of a gyroscope and an accelerometer to objectively record several gaits-related traits linked with the horse’s health, performance, and physical condition. A total of 185 horses were genotyped with the GGP Equine 70k ® SNP chip. The quality control of the genotype data was performed in Plink v 1.9 and the GWAS analysis in R Software. To assess the association with genotype information, a linear mixed model was used, corrected for sex, the sampling date, and for biometrical measurements. We mostly found significant results on the trot gait, for example, for the symmetry we found 9 significantly associated SNPs. In the proximity of those SNPs (windows size±250 kb) 22 protein-coding genes, 3 miRNA, and 7 lncRNA were identified. Some of those genes have known function in collagen structure and the control of the synapsis response. Further analysis of those genes might permit to enhance the use of genomics in the Bardigiano horse breed which is facing the conversion from agricultural to riding purposes.

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne prirodne znanosti, Veterinarska medicina, Biotehnologija

POVEZANOST RADA