Association of SNP g.232 G&gt;T Calpain Gene with Growth and Live Meat Quality Prediction using Ultrasound Images in Bali Cattle

Dairoh Dairoh,Mokhamad Fakhrul Ulum,Cece Sumantri,Andi Baso Lompengeng Ishak,Jakaria Jakaria

doi:10.14334/jitv.v26i2.2701

Association of SNP g.232 G>T Calpain Gene with Growth and Live Meat Quality Prediction using Ultrasound Images in Bali Cattle

Dairoh Dairoh, Mokhamad Fakhrul Ulum + Show 3 more

Open Access

https://doi.org/10.14334/jitv.v26i2.2701

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Abstract

Bali cattle (Bos javanicus) are native Indonesian cattle, domesticated from banteng (Bibos banteng). Genes that have an important role in meat quality are calcium-activated neutral protease genes, known as calpains (CAPN). The objective of this study was to evaluate the polymophisms of calpain gene SNP g.232 G&gt;T by PCR-RFLP technique and its influence on growth trait and meat quality of Bali cattle detected by ultrasound imaging of longissimus dorsi thickness (LDT), back fat thickness (BFT), marbling score (MS), and intramuscular fat percentage (PIMF). The polymorphisms of CAPN1 gene were analyzed by PCR-RFLP using BglII restriction enzyme (n=52 cattle). The ultrasound images of longissimus dorsi muscle were carried out transversally and longitudinal between 12th -13th thoracic vertebrae then analyzed by Image-J NIH software. Result showed that SNP g.232 G&gt;T of CAPN1 gene was polymorphic in Bali cattle. SNP g.232 G&gt;T of CAPN1 gene in Bali cattle has higher diversity which was showed of 0.48 heterozygosity value and was in Hardy-Weinberg equilibrium. The polymorphisms of SNP g.232 G&gt;T was associated significantly (P&lt;0.05) with bodyweight at 730 days, marbling score (MS), and intramuscular fat percentage (PIMF). It suggests that the CAPN1 gene in Bali cattle is a candidate for Marker Assisted Selection (MAS), which influences body weight at 730 days, marbling score, and percentage of intramuscular fat.

Highlights

In 2020, a total of national meat production was dominated by 59% of chicken, the contribution of beef cattle only 16% into the total national meat production.National beef demand can only be fulfilled by 73.94% of domestic production, and 26.06% of the deficiency is fulfilled by imports (OECD-FAO 2020)
The GG genotype is a GenBank reference genotype representing the wild-type allele, whereas the TT genotype represents a mutant genotype with two mutant alleles (National Center for Biotechnology Information 2021)
Hanwoo cattle back fat thickness was 10 mm with marbling score 9.55 (Moon et al 2003). These results indicate that different breeds can perform different meat quality

Summary

Introduction

In 2020, a total of national meat production was dominated by 59% of chicken, the contribution of beef cattle only 16% into the total national meat production.National beef demand can only be fulfilled by 73.94% of domestic production, and 26.06% of the deficiency is fulfilled by imports (OECD-FAO 2020). JITV Vol 26 No 2 Th. 2021: 49-56 demand for meat requires quantity and quality parameters for consumers. The selection of the right beef cattle for slaughter significantly affects meat quality. Rapid method of prediction of optimal fattening period length and measurement to determine the slaughter value in live animal are required (Pogorzelska-Przybylek et al 2015). Ultrasound technology was used to predict the carcass of beef at 12-13th fat and longissimus dorsi thickness (Jakaria et al 2017). Ultrasound measurements, including IMF percentage, have shown to be a valuable method for assessing carcass quality characteristics (Nogalski et al 2018). Non-invasive technology is a well-established method used to assess the quality of live meat prior to slaughter in the cattle breeding program for native cattle

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