Statistical modeling of candidate gene effects on milk production traits in dairy cattle.
Statistical modeling of candidate gene effects on milk production traits in dairy cattle.
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DOI：
10.3168/jds.2006-724
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发表时间：
2007-06
影响因子：
3.5
通讯作者：
Joanna Szyda;J. Komisarek
中科院分区：
文献类型：
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作者：
Joanna Szyda;J. Komisarek
奶牛基因组研究的一个主要目标是确定可能在育种计划中有用的产奶量性状变异的潜在基因。候选基因方法为寻找影响数量性状的致病多态性提供了工具。可能影响牛乳性状的基因可能涉及不同的生理途径，如甘油三酯合成[酰基辅酶a：二酰基甘油酰基转移酶1基因（DGAT1）]、乳腺上皮组织脂肪分泌（嗜丁酸蛋白）或全身能量稳态调节（瘦素和瘦素受体）。在这项研究中，基于来自波兰活跃奶牛群体的252头黑白公牛的数据，研究了亲丁酸蛋白、DGAT1、瘦素和瘦素受体基因中9个单核苷酸多态性的影响和潜在的相互作用。此外，还说明了拟合模型的加性效应、显性效应和上位遗传效应的数量对模型参数估计和模型选择的影响。表型记录是从常规的国家遗传评估中获得的牛奶、脂肪和蛋白质产量的子代产量偏差。在所有分析的多态性中，DGAT1 K232A比其他单核苷酸多态性对牛奶性状的影响要大得多。估计K232A的加性遗传效应表示为Lys-和ala -编码变体之间差异的一半，在第一次胎产时为-107.4公斤牛奶，5.4公斤脂肪和-1.6公斤蛋白质，以及在第二次胎产时为-120公斤牛奶和6.8公斤脂肪。在模型选择方面，改进的贝叶斯信息准则选择了参数化程度较高的模型，而贝叶斯信息准则选择了参数化程度过高的模型。
A major objective of dairy cattle genomic research is to identify genes underlying the variability of milk production traits that could be useful in breeding programs. The candidate gene approach provides tools for searching for causative polymorphisms affecting quantitative traits. Genes with a possible effect on milk traits in cattle can be involved in different physiological pathways, such as triglyceride synthesis [acyl-CoA:diacylglycerol acyltransferase 1 gene (DGAT1)], fat secretion from the mammary epithelial tissue (butyrophilin), or entire-body energy homeostasis regulation (leptin and leptin receptor). In this study, based on data from 252 Black and White bulls from the active Polish dairy population, effects and potential interactions of 9 single nucleotide polymorphisms in the butyrophilin, DGAT1, leptin, and leptin receptor genes were investigated. Additionally, the effect of the number of additive, dominance, and epistatic genetic effects fitted into the model on the estimates of model parameters and model selection was illustrated. Phenotypic records were daughter yield deviations for milk, fat, and protein yields, obtained from a routine national genetic evaluation. Out of all the analyzed polymorphisms, DGAT1 K232A had a much larger effect on milk traits than the other single nucleotide polymorphisms considered. Estimates of the additive genetic effect of K232A expressed as half of the difference between Lys- and Ala-encoding variants were -107.4 kg of milk, 5.4 kg of fat, and -1.6 kg of protein at first parity, as well as -120 kg of milk and 6.8 kg of fat at second parity. In terms of model selection, it was demonstrated that the modified version of Bayesian information criterion selects models with the parameterization reflecting the genetic background of the analyzed trait, while the Bayesian information criterion chooses models that are too highly parameterized.