Tait R G, Shackelford S D, Wheeler T L, King D A, Keele J W, Casas E, Smith T P L, Bennett G L
USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166.
USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166
J Anim Sci. 2014 Dec;92(12):5382-93. doi: 10.2527/jas.2014-8211.
Genetic marker effects and type of inheritance are estimated with poor precision when minor marker allele frequencies are low. A stable composite population (MARC III) was subjected to marker-assisted selection for multiple years to equalize specific marker frequencies to 1) estimate effect size and mode of inheritance for previously reported SNP on targeted beef carcass quality traits (n=254), 2) estimate pleiotropic effects of previously reported SNP on nontarget performance traits (n=542 or 254), and 3) evaluate tenderness SNP specific residual variance for LM tenderness. Three haplotypes within μ-calpain (CAPN1), a SNP in calpastatin (CAST), and a dinucleotide substitution in diacylglycerol O-acyltransferase 1 (DGAT1) were successfully selected to equalize their frequencies. Traits evaluated were birth BW, weaning BW, yearling BW, final BW, dressing percent, HCW, fat thickness, LM area, USDA marbling score, yield grade, LM slice shear force (SSF), and visible and near-infrared (VISNIR)-predicted SSF. While the CAPN1 genotype effect on SSF was not significant (P=0.12), the direction and size of CAPN1 contrasts were consistent with previous research. Effects on SSF between divergent CAPN1 haplotypes (1.153 kg) and the additive effect of CAST (0.902 kg) were large, and animals homozygous for tender alleles at both CAPN1 and CAST would have 4.11 kg lower SSF (27.5% of the mean) than animals homozygous tough for both markers. Furthermore, the interaction between CAPN1 and CAST for SSF was not significant (P=0.40). There were significant effects for DGAT1 on adjusted fat thickness (P=0.02) and VISNIR-predicted SSF (P<0.001) with additive and dominance modes of inheritance (P<0.05) for both traits. Furthermore, CAST genotype specific residual variance models fit significantly better (P<0.001) than single residual variance models for SSF, with the tougher genotypes having progressively larger residual (and hence phenotypic) variances. Therefore, risk of a tough steak from the undesired CAST genotype is increased through both an increase in mean and an increase in variation. This work is supportive of the importance of CAPN1 and CAST for mean tenderness in beef, confirms an effect of CAST on beef LM tenderness variation, and identifies an effect of DGAT1 on subcutaneous fat thickness.
当次要标记等位基因频率较低时,遗传标记效应和遗传类型的估计精度较差。一个稳定的复合群体(MARC III)多年来一直进行标记辅助选择,以使特定标记频率均等化,目的是:1)估计先前报道的单核苷酸多态性(SNP)对目标牛肉胴体品质性状(n = 254)的效应大小和遗传模式;2)估计先前报道的SNP对非目标生产性能性状(n = 542或254)的多效性效应;3)评估针对腰大肌嫩度的嫩度SNP特异性残差方差。成功选择了μ-钙蛋白酶(CAPN1)内的三种单倍型、钙蛋白酶抑制蛋白(CAST)中的一个SNP以及二酰基甘油O-酰基转移酶1(DGAT1)中的一个二核苷酸替换,以使其频率均等化。所评估的性状包括出生体重、断奶体重、周岁体重、最终体重、屠宰率、热胴体重、脂肪厚度、腰大肌面积、美国农业部大理石花纹评分、产量等级、腰大肌切片剪切力(SSF)以及可见和近红外(VISNIR)预测的SSF。虽然CAPN1基因型对SSF的效应不显著(P = 0.12),但CAPN1对比的方向和大小与先前的研究一致。不同CAPN1单倍型之间对SSF的效应(1.体成分分析在医学领域有着广泛的应用。它可以用于评估身体的脂肪含量、肌肉量、水分含量等。通过体成分分析,医生可以了解患者的身体状况,制定个性化的治疗方案。例如,对于肥胖患者,体成分分析可以帮助医生确定其脂肪分布情况,从而制定更有效的减肥计划。
体成分分析的方法有多种,常见的包括生物电阻抗分析、双能X线吸收法等。生物电阻抗分析是一种简单、无创的方法,通过测量身体的电阻抗来估算体成分。双能X线吸收法则是一种更准确的方法,它可以直接测量身体的脂肪和肌肉含量。
在进行体成分分析时,需要注意一些因素。例如,测量前需要保持安静、避免剧烈运动,以确保测量结果的准确性。此外,不同的测量方法可能会有一定的误差,因此需要结合多种方法进行综合评估。
体成分分析在医学领域的应用前景广阔。随着技术的不断发展,体成分分析将变得更加准确、便捷。它将为医生提供更多的诊断信息,帮助患者更好地管理自己的健康。
请你明确一下问题哦,比如对这段翻译进行润色、根据翻译内容进行提问等等,以便我更准确地满足你的需求。 153 kg)和CAST的加性效应(0.902 kg)对SSF的影响很大,并且在CAPN1和CAST上均为嫩度等位基因纯合的动物,其SSF比两种标记均为纯合坚韧型的动物低4.11 kg(平均值的27.5%)。此外,CAPN1和CAST对SSF的交互作用不显著(P = 0.40)。DGAT1对调整后的脂肪厚度(P = 0.02)和VISNIR预测的SSF(P < 0.001)有显著影响,这两个性状的遗传模式均为加性和显性(P < 0.05)。此外,CAST基因型特异性残差方差模型对SSF的拟合显著优于单一残差方差模型(P < 0.001),坚韧型基因型的残差(以及因此的表型)方差逐渐增大。因此,不期望的CAST基因型导致牛排坚韧的风险通过均值增加和变异增加而上升。这项工作支持了CAPN1和CAST对牛肉平均嫩度的重要性,证实了CAST对牛肉腰大肌嫩度变异有影响,并确定了DGAT1对皮下脂肪厚度有影响。