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用于商业猪育种中多种应用的单核苷酸多态性微阵列

Microarray of SNPs for diverse applications in commercial pig breeding.

作者信息

Kamińiski S, Brym P, Help H, Ruść A, Wójcik E

机构信息

University of Warmia and Mazury, Department of Animal Genetics, 10-718 Olsztyn, Oczapowskiego 5, Poland.

出版信息

Pol J Vet Sci. 2009;12(1):69-74.

PMID:19459442
Abstract

Modern pig production needs new tools for fast, reliable, more effective breeding. In the present paper we present a chip containing 45 SNP (Single Nucleotide Polymorphisms) which enables the determining of 1 genetic disease (PSS-Porcine Stress Syndrome), 4 QTLs genes: PRKAG3, CAST, MC4R and ESR, which together with the remaining SNPs create a panel useful in marker-assisted selection and veterinary control. The SNPs were genotyped using the PCR-APEX (Arrayed Primer Extension) technique. Special attention is paid to evaluation of the 45 SNP chip as an alternative approach to parentage and identity control. Based on allele frequency estimations, for a sample of 88 individuals of commercial pig lines, the probabilities that a randomly chosen candidate parent would be excluded from paternity or maternity were estimated to be 99.9% when genotypes of both parents and a progeny were known, and 98% when the genotypes of only one parent and a piglet were available. The marker set presented here also reached a probability of identity in the order of 10(-16), which allows for unequivocal discrimination of animals or their products among billions of individuals. Further improvements for upcoming chip versions were also considered.

摘要

现代养猪生产需要新的工具来实现快速、可靠且更有效的育种。在本文中,我们展示了一种包含45个单核苷酸多态性(SNP)的芯片,该芯片能够检测1种遗传疾病(猪应激综合征,PSS)以及4个数量性状基因座(QTL)基因:PRKAG3、CAST、MC4R和ESR,这些基因与其余的SNP共同构成了一个有助于标记辅助选择和兽医控制的面板。使用PCR-APEX(阵列引物延伸)技术对SNP进行基因分型。我们特别关注对45个SNP芯片作为亲子关系和身份控制替代方法的评估。基于对88个商业猪品系个体样本的等位基因频率估计,当双亲及后代的基因型均已知时,随机选择的候选亲本被排除父系或母系的概率估计为99.9%;当仅知一方亲本和一头仔猪的基因型时,该概率为98%。此处展示的标记集在身份识别概率方面也达到了10^(-16) 的量级,这使得在数十亿个体中能够明确区分动物个体或其产品。我们还考虑了对未来芯片版本的进一步改进。

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引用本文的文献

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Efficient SNP Discovery by Combining Microarray and Lab-on-a-Chip Data for Animal Breeding and Selection.通过结合微阵列和芯片实验室数据进行动物育种与选择的高效单核苷酸多态性发现
Microarrays (Basel). 2015 Nov 16;4(4):570-95. doi: 10.3390/microarrays4040570.