Chessa S, Chiatti F, Ceriotti G, Caroli A, Consolandi C, Pagnacco G, Castiglioni B
Dipartimento di Scienze e Tecnologie Veterinarie per la Sicurezza Alimentare, Università degli Studi di Milano, Via Trentacoste 2, Milano 20134 Italy.
J Dairy Sci. 2007 Jan;90(1):451-64. doi: 10.3168/jds.S0022-0302(07)72647-4.
The objective of this study was to develop and validate a fast method for typing the main mutations of bovine milk protein genes by using microarray technology. An approach based on the ligation detection reaction (LDR) and a universal array (UA) was used. Polymorphisms in both the coding and noncoding sequences of alpha(S1)-casein, beta-casein, kappa-casein, and beta-lactoglobulin genes were considered because of their well-known effects on milk composition and cheese production. A total of 22 polymorphic sites, corresponding to 21 different variants, were included in the diagnostic microarray. First, a multiplex PCR was developed to amplify all the DNA target sequences simultaneously. Second, the LDR-UA assay was implemented. The method was validated by analyzing 100 Italian Friesian DNA samples, which were also genotyped by conventional methods both at the protein level by means of milk isoelectrofocusing and at the molecular level using PCR-RFLP and PCR-single strand conformation polymorphism techniques. The genotypes obtained using the LDR-UA approach were in full agreement with those obtained by the conventional analyses. An important result of the LDR-UA assay was a more accurate genotyping of the different milk protein alleles than was found with conventional typing methods. At the kappa-casein gene, in fact, 4 samples were heterozygous (3 reference samples and 1 validation sample) for an allele coding for Thr(136) and Ala(148). This variant, which can be considered as the wild type of the genus Bos, is not usually identifiable by the conventional typing methods used. The multiplex PCR-LDR-UA approach developed provides for an accurate, inexpensive, and high-throughput assay that does not exhibit false positive or false negative signals, thus making it highly suitable for animal genotyping.
本研究的目的是开发并验证一种利用微阵列技术对牛乳蛋白基因主要突变进行分型的快速方法。采用了一种基于连接检测反应(LDR)和通用阵列(UA)的方法。考虑到α(S1)-酪蛋白、β-酪蛋白、κ-酪蛋白和β-乳球蛋白基因的编码和非编码序列中的多态性对牛奶成分和奶酪生产有众所周知的影响。诊断微阵列中总共包含22个多态性位点,对应21种不同的变体。首先,开发了一种多重PCR来同时扩增所有DNA靶序列。其次,实施了LDR-UA检测。通过分析100份意大利荷斯坦奶牛DNA样本对该方法进行验证,这些样本也通过传统方法在蛋白质水平上通过牛奶等电聚焦以及在分子水平上使用PCR-RFLP和PCR-单链构象多态性技术进行基因分型。使用LDR-UA方法获得的基因型与通过传统分析获得的基因型完全一致。LDR-UA检测的一个重要结果是,与传统分型方法相比,对不同牛奶蛋白等位基因的基因分型更准确。事实上,在κ-酪蛋白基因中,有4个样本(3个参考样本和1个验证样本)对于编码苏氨酸(136)和丙氨酸(148)的等位基因是杂合的。这种变体可被视为牛属的野生型,通常无法通过所使用的传统分型方法识别。所开发的多重PCR-LDR-UA方法提供了一种准确、廉价且高通量的检测方法,该方法不会出现假阳性或假阴性信号,因此非常适合动物基因分型。