Cardona Samir Julián Calvo, Cadavid Henry Cardona, Corrales Juan David, Munilla Sebastián, Cantet Rodolfo J C, Rogberg-Muñoz Andrés
Grupo de Investigación en Genética, Mejoramiento y Modelación Animal (GaMMA), Facultad Ciencias Agrarias, Universidad de Antioquia, Calle 67, no 53-108, AA 1226, Medellín, Colombia 005043.
Facultad Ciencias Agropecuarias, Universidad de La Salle, Bogotá, Colombia 110231; Departamento de Producción, Facultad de Agronomía, Universidad de Buenos Aires, San Martín 4453 (1417), Ciudad Autónoma de Buenos Aires, Argentina.
J Dairy Sci. 2016 Sep;99(9):7299-7307. doi: 10.3168/jds.2016-10954. Epub 2016 Aug 8.
The κ-casein (CSN-3) and β-lactoglobulin (BLG) genes are extensively polymorphic in ruminants. Several association studies have estimated the effects of polymorphisms in these genes on milk yield, milk composition, and cheese-manufacturing properties. Usually, these results are based on production integrated over the lactation curve or on cross-sectional studies at specific days in milk (DIM). However, as differential expression of milk protein genes occurs over lactation, the effect of the polymorphisms may change over time. In this study, we fitted a mixed-effects regression model to test-day records of milk yield and milk quality traits (fat, protein, and total solids yields) from Colombian tropical dairy goats. We used the well-characterized A/B polymorphisms in the CSN-3 and BLG genes. We argued that this approach provided more efficient estimators than cross-sectional designs, given the same number and pattern of observations, and allowed exclusion of between-subject variation from model error. The BLG genotype AA showed a greater performance than the BB genotype for all traits along the whole lactation curve, whereas the heterozygote showed an intermediate performance. We observed no such constant pattern for the CSN-3 gene between the AA homozygote and the heterozygote (the BB genotype was absent from the sample). The differences among the genotypic effects of the BLG and the CSN-3 polymorphisms were statistically significant during peak and mid lactation (around 40-160 DIM) for the BLG gene and only for mid lactation (80-145 DIM) for the CSN-3 gene. We also estimated the additive and dominant effects of the BLG locus. The locus showed a statistically significant additive behavior along the whole lactation trajectory for all quality traits, whereas for milk yield the effect was not significant at later stages. In turn, we detected a statistically significant dominance effect only for fat yield in the early and peak stages of lactation (at about 1-45 DIM). The longitudinal analysis of test-day records allowed us to estimate the differential effects of polymorphisms along the lactation curve, pointing toward stages that could be affected by the gene.
κ-酪蛋白(CSN-3)和β-乳球蛋白(BLG)基因在反刍动物中具有广泛的多态性。多项关联研究估计了这些基因多态性对产奶量、乳成分和奶酪制造特性的影响。通常,这些结果基于整个泌乳曲线的综合产量或特定泌乳天数(DIM)的横断面研究。然而,由于乳蛋白基因的差异表达在整个泌乳期都会发生,多态性的影响可能会随时间变化。在本研究中,我们拟合了一个混合效应回归模型,用于分析哥伦比亚热带奶山羊的产奶量和乳品质性状(脂肪、蛋白质和总固体产量)的测定日记录。我们使用了CSN-3和BLG基因中特征明确的A/B多态性。我们认为,在观察数量和模式相同的情况下,这种方法比横断面设计提供了更有效的估计量,并允许从模型误差中排除个体间变异。在整个泌乳曲线中,BLG基因的AA基因型在所有性状上的表现均优于BB基因型,而异合子表现出中等性能。对于CSN-3基因,我们在AA纯合子和杂合子之间未观察到这种恒定模式(样本中不存在BB基因型)。BLG和CSN-3多态性的基因型效应差异在泌乳高峰期和中期(约40 - 160 DIM)对于BLG基因具有统计学意义,而对于CSN-3基因仅在泌乳中期(80 - 145 DIM)具有统计学意义。我们还估计了BLG基因座的加性和显性效应。该基因座在所有品质性状的整个泌乳轨迹中表现出统计学显著的加性效应,而对于产奶量,后期效应不显著。反过来,我们仅在泌乳早期和高峰期(约1 - 45 DIM)检测到脂肪产量的统计学显著显性效应。对测定日记录的纵向分析使我们能够估计多态性在泌乳曲线中的差异效应,确定可能受该基因影响的阶段。