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基于单核苷酸多态性的犬类刻板行为关联图谱分析

Single-nucleotide-polymorphism-based association mapping of dog stereotypes.

作者信息

Jones Paul, Chase Kevin, Martin Alan, Davern Pluis, Ostrander Elaine A, Lark Karl G

机构信息

The WALTHAM Centre for Pet Nutrition, Waltham on the Wolds, Leicsestershire LE14 4RT, United Kingdom.

出版信息

Genetics. 2008 Jun;179(2):1033-44. doi: 10.1534/genetics.108.087866. Epub 2008 May 27.

Abstract

Phenotypic stereotypes are traits, often polygenic, that have been stringently selected to conform to specific criteria. In dogs, Canis familiaris, stereotypes result from breed standards set for conformation, performance (behaviors), etc. As a consequence, phenotypic values measured on a few individuals are representative of the breed stereotype. We used DNA samples isolated from 148 dog breeds to associate SNP markers with breed stereotypes. Using size as a trait to test the method, we identified six significant quantitative trait loci (QTL) on five chromosomes that include candidate genes appropriate to regulation of size (e.g., IGF1, IGF2BP2 SMAD2, etc.). Analysis of other morphological stereotypes, also under extreme selection, identified many additional significant loci. Less well-documented data for behavioral stereotypes tentatively identified loci for herding, pointing, boldness, and trainability. Four significant loci were identified for longevity, a breed characteristic not under direct selection, but inversely correlated with breed size. The strengths and limitations of the approach are discussed as well as its potential to identify loci regulating the within-breed incidence of specific polygenic diseases.

摘要

表型刻板特征是通常由多基因决定的性状,这些性状经过严格选择以符合特定标准。在犬科动物家犬中,刻板特征源自为体型、性能(行为)等设定的品种标准。因此,对少数个体测量的表型值代表了品种刻板特征。我们使用从148个犬种中分离的DNA样本,将单核苷酸多态性(SNP)标记与品种刻板特征相关联。以体型作为测试该方法的性状,我们在五条染色体上鉴定出六个显著的数量性状基因座(QTL),其中包括适合调节体型的候选基因(例如IGF1、IGF2BP2、SMAD2等)。对同样处于极端选择下的其他形态学刻板特征进行分析,鉴定出许多其他显著基因座。关于行为刻板特征的记录较少的数据初步确定了与放牧、指示、大胆和可训练性相关的基因座。确定了四个与长寿相关的显著基因座,长寿是一个并非直接受选择的品种特征,但与品种体型呈负相关。本文讨论了该方法的优势和局限性,以及其在识别调节特定多基因疾病品种内发病率的基因座方面的潜力。

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