Oh Dong-Yep, Lee Jea-Young, Jang Ji-Eun, Lee Seung-Uk
Livestock Research institute, Yeongju 750-871, Korea.
Department of Statistics, Yeungnam University, Gyeongsan 712-749, Korea.
Asian-Australas J Anim Sci. 2017 Feb;30(2):160-166. doi: 10.5713/ajas.16.0262. Epub 2016 Aug 4.
This study identifies single-nucleotide polymorphisms (SNP) or gene combinations that affect the flavor and quality of Korean cattle (Hanwoo) by using the SNP Harvester method.
Four economic traits (oleic acid [C18:1], saturated fatty acids), monounsaturated fatty acids, and marbling score) were adjusted for environmental factors in order to focus solely on genetic effects. The SNP Harvester method was used to investigate gene combinations (two-way gene interactions) associated with these economic traits. Further, a multifactor dimensionality reduction method was used to identify superior genotypes in gene combinations.
Table 3 to 4 show the analysis results for differences between superior genotypes and others for selected major gene combinations using the multifactor dimensionality reduction method. Environmental factors were adjusted for in order to evaluate only the genetic effect. Table 5 shows the adjustment effect by comparing the accuracy before and after correction in two-way gene interactions.
The g.3977-325 T>C and (g.2988 A>G, g.3977-325 T>C) combinations of fatty acid-binding protein4 were the superior gene, and the superior genotype combinations across all economic traits were the CC genotype at g.3977-325 T>C and the AACC, GACC, GGCC genotypes of (g.2988 A>G, g.3977-325 T>C).
本研究采用单核苷酸多态性(SNP)收割机方法,识别影响韩牛风味和品质的单核苷酸多态性(SNP)或基因组合。
对四个经济性状(油酸[C18:1]、饱和脂肪酸、单不饱和脂肪酸和大理石花纹评分)进行环境因素调整,以便仅关注遗传效应。使用SNP收割机方法研究与这些经济性状相关的基因组合(双向基因相互作用)。此外,采用多因素降维方法识别基因组合中的优良基因型。
表3至表4显示了使用多因素降维方法对选定主要基因组合的优良基因型与其他基因型之间差异的分析结果。对环境因素进行了调整,以便仅评估遗传效应。表5显示了通过比较双向基因相互作用校正前后的准确性得到的调整效果。
脂肪酸结合蛋白4的g.3977 - 325 T>C和(g.2988 A>G,g.3977 - 325 T>C)组合是优良基因,所有经济性状的优良基因型组合是g.3977 - 325 T>C处的CC基因型以及(g.2988 A>G,g.3977 - 325 T>C)的AACC、GACC、GGCC基因型。