Abstract

BackgroundImproving meat quality including taste and tenderness is critical to the protection and development of markets for sheep meat. Phenotypic selection for such measures of meat quality is constrained by the fact that these parameters can only be measured post-slaughter. Carcass composition has an impact on meat quality and can be measured on live animals using advanced imaging technologies such as X-ray computed tomography (CT). Since carcass composition traits are heritable, they are potentially amenable to improvement through marker-assisted and genomic selection. We conducted a genome-wide association study (GWAS) on about 600 Scottish Blackface lambs for which detailed carcass composition phenotypes, including bone, fat and muscle components, had been captured using CT and which were genotyped for ~40,000 single nucleotide polymorphisms (SNPs) using the Illumina OvineSNP50 chip.ResultsWe confirmed that the carcass composition traits were heritable with moderate to high (0.19–0.78) heritabilities. The GWAS analyses revealed multiple SNPs and quantitative trait loci (QTL) that were associated with effects on carcass composition traits and were significant at the genome-wide level. In particular, we identified a region on ovine chromosome 6 (OAR6) associated with bone weight and bone area that harboured SNPs with p values of 5.55 × 10−8 and 2.63 × 10−9, respectively. The same region had effects on fat area, fat density, fat weight and muscle density. We identified plausible positional candidate genes for these OAR6 QTL. We also detected a SNP that reached the genome-wide significance threshold with a p value of 7.28 × 10−7 and was associated with muscle density on OAR1. Using a regional heritability mapping approach, we also detected regions on OAR3 and 24 that reached genome-wide significance for bone density.ConclusionsWe identified QTL on OAR1, 3, 24 and particularly on OAR6 that are associated with effects on muscle, fat and bone traits. Based on available evidence that indicates that these traits are genetically correlated with meat quality traits, these associated SNPs have potential applications in selective breeding for improved meat quality. Further research is required to determine whether the effects associated with the OAR6 QTL are caused by a single gene or several closely-linked genes.Electronic supplementary materialThe online version of this article (doi:10.1186/s12711-016-0191-3) contains supplementary material, which is available to authorized users.

Highlights

  • Improving meat quality including taste and tenderness is critical to the protection and development of markets for sheep meat

  • Estimates obtained by fitting the pedigree matrix were higher than those obtained by fitting the kinship matrix except for fat density measured at the ischium and accounting for live weight (LW) [See Additional file 1: Table S3]

  • In the region on OAR3 that we detected by regional heritability mapping (RHM) for bone proportion, we identified several genes which may be related to bone traits

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Summary

Introduction

Improving meat quality including taste and tenderness is critical to the protection and development of markets for sheep meat Phenotypic selection for such measures of meat quality is constrained by the fact that these parameters can only be measured post-slaughter. Phenotypic selection for meat quality parameters, including taste and tenderness, is constrained by the fact that they can only be measured post-slaughter These meat quality parameters are influenced by carcass composition [4], including the level and distribution of fat, which can be measured on live animals. There are a number of methods for measuring the composition of lamb carcasses that range from visual classification, linear measurements using human or computer vision, infrared (IR) or near infrared (NIR) reflectance, conductivity, bio-impedance to computer tomography (CT) [7] Technologies such as CT offer the possibility of noninvasive and accurately measured carcass traits on live animals. CT predictions are usually better predictors of carcass composition, other factors, such as cost and ease of use, restrict its use [7]

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