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SNP-based quantitative deconvolution of biological mixtures: application to the detection of cows with subclinical mastitis by whole-genome sequencing of tank milk.
Genome Research ( IF 6.2 ) Pub Date : 2020-08-01 , DOI: 10.1101/gr.256172.119
Wouter Coppieters 1 , Latifa Karim 1 , Michel Georges 2
Affiliation  

Biological products of importance in food (e.g., milk) and medical (e.g., donor blood-derived products) sciences often correspond to mixtures of samples contributed by multiple individuals. Identifying which individuals contributed to the mixture and in what proportions may be of interest in several circumstances. We herein present a method that allows to do this by shallow whole-genome sequencing of the DNA in mixed samples from hundreds of donors. We show the efficacy of the approach for the detection of cows with subclinical mastitis by analysis of farms’ tank mixtures containing milk from as many as 500 cows.

中文翻译:

基于 SNP 的生物混合物定量解卷积:通过罐装牛奶的全基因组测序应用于检测患有亚临床乳腺炎的奶牛。

在食品(例如牛奶)和医学(例如,供体血液衍生产品)科学中具有重要意义的生物产品通常对应于由多个人提供的样本混合物。确定哪些人对混合物的贡献以及在几种情况下可能感兴趣的比例。我们在此提出了一种方法,该方法允许通过对来自数百个供体的混合样本中的 DNA 进行浅层全基因组测序来实现这一点。我们通过分析含有多达 500 头奶牛的牛奶的农场罐混合液,展示了该方法用于检测患有亚临床乳腺炎的奶牛的功效。
更新日期:2020-08-27
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