Lee Jea-Young, Ha Jaejung, Yi Junkoo, Jang Jieun, Lee Wooseok, Lee Yoonseok, Oh Dong-Yep, Han Kyudong
Department of Statistics, Yeungnam University, Gyeongsan-si, Gyeongbuk, 38541, Republic of Korea.
Livestock Research Institute, Gyeongsangbuk-Do, Yeongju, Gyeongbuk, 36052, Republic of Korea.
Genes Genomics. 2018 Sep;40(9):945-954. doi: 10.1007/s13258-018-0704-2. Epub 2018 May 15.
The fatty acid composition of adipose tissue in livestock has been recognized as an important carcass trait that affects meat quality. To determine the overall positive effect on fatty acid synthesis, we investigated PPARγ, SREBPs, FABP4, SCD, and FASN genes because SNP and/or SNP combinations were strongly affecting each fatty acid synthesis pathway. We screened their SNPs, SNP combinations, and genotype. Furthermore, we studied the economic traits C18:1, monounsaturated fatty acid (MUFA), and marbling score (MS). To enhance the accuracy of the predictive genetic effect, we applied a statistical adjustment model excluding environmental factors. We also selected superior genes, gene combinations, and genotypes for each economic trait by using multifactor dimensionality reduction. Based on the results, g.3977-325 T>C (CC) was selected as the best genotype of the SNP and the combination (g.10153 A>G, g.3977-325 T>C) (AACC, AGCC, GGCC), (g.3690 G>A, g.3977-325 T>C) (GGCC, GACC), (g.3977-325 T>C, g.25670 C>T) (CCCC, CCCT, CCTT) (genotypes of the best SNP combination) was selected as the best gene combination for C18:1 and MUFA. In addition, g.3977-325 T>C (CC) was selected as the best genotype of the SNP and the combination (g.3977-325 T>C, g.6974 G>A) (TTAA, CTAA, CCAA, CCGA, CCGG) as the best SNP combination for MS. We integrated genes that were selected as excellent SNP and SNP combinations affecting two main routes of the fatty acid synthesis pathway and identified the best and final SNP, SNP combination, and superior genotype.
家畜脂肪组织的脂肪酸组成已被认为是影响肉质的重要胴体性状。为了确定对脂肪酸合成的总体积极影响，我们研究了PPARγ、SREBPs、FABP4、SCD和FASN基因，因为单核苷酸多态性（SNP）和/或SNP组合强烈影响每个脂肪酸合成途径。我们筛选了它们的SNP、SNP组合和基因型。此外，我们研究了经济性状C18:1、单不饱和脂肪酸（MUFA）和大理石花纹评分（MS）。为了提高预测遗传效应的准确性，我们应用了一个排除环境因素的统计调整模型。我们还通过多因素降维为每个经济性状选择了优良基因、基因组合和基因型。基于这些结果，g.3977-325 T>C（CC）被选为该SNP的最佳基因型，组合（g.10153 A>G，g.3977-325 T>C）（AACC、AGCC、GGCC）、（g.3690 G>A，g.3977-325 T>C）（GGCC、GACC）、（g.3977-325 T>C，g.25670 C>T）（CCCC、CCCT、CCTT）（最佳SNP组合的基因型）被选为C18:1和MUFA的最佳基因组合。此外，g.3977-325 T>C（CC）被选为该SNP的最佳基因型，组合（g.3977-325 T>C，g.6974 G>A）（TTAA、CTAA、CCAA、CCGA、CCGG）被选为MS的最佳SNP组合。我们整合了被选为影响脂肪酸合成途径两条主要路线的优良SNP和SNP组合的基因，并确定了最佳和最终的SNP、SNP组合以及优良基因型。
