Brandt Monika, Ahsan Muhammad, Honaker Christa F, Siegel Paul B, Carlborg Örjan
Department of Medical Biochemistry and Microbiology, Uppsala University, 751 23 Sweden.
Division of Computational Genetics, Department of Clinical Sciences, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden.
G3 (Bethesda). 2017 Jan 5;7(1):119-128. doi: 10.1534/g3.116.036012.
The Virginia chicken lines have been divergently selected for juvenile body weight for more than 50 generations. Today, the high- and low-weight lines show a >12-fold difference for the selected trait, 56-d body weight. These lines provide unique opportunities to study the genetic architecture of long-term, single-trait selection. Previously, several quantitative trait loci (QTL) contributing to weight differences between the lines were mapped in an F-cross between them, and these were later replicated and fine-mapped in a nine-generation advanced intercross of them. Here, we explore the possibility to further increase the fine-mapping resolution of these QTL via a pedigree-based imputation strategy that aims to better capture the genetic diversity in the divergently selected, but outbred, founder lines. The founders of the intercross were high-density genotyped, and then pedigree-based imputation was used to assign genotypes throughout the pedigree. Imputation increased the marker density 20-fold in the selected QTL, providing 6911 markers for the subsequent analysis. Both single-marker association and multi-marker backward-elimination analyses were used to explore regions associated with 56-d body weight. The approach revealed several statistically and population structure independent associations and increased the mapping resolution. Further, most QTL were also found to contain multiple independent associations to markers that were not fixed in the founder populations, implying a complex underlying architecture due to the combined effects of multiple, linked loci perhaps located on independent haplotypes that still segregate in the selected lines.
弗吉尼亚鸡品系针对幼雏体重进行了超过50代的分化选择。如今,高体重和低体重品系在所选性状(56日龄体重)上表现出超过12倍的差异。这些品系为研究长期单性状选择的遗传结构提供了独特的机会。此前,在它们之间的一个F杂交群体中定位了几个导致品系间体重差异的数量性状位点(QTL),随后在它们的九代高级杂交群体中对这些位点进行了重复定位和精细定位。在此,我们探索通过基于系谱的归因策略进一步提高这些QTL精细定位分辨率的可能性,该策略旨在更好地捕捉在经过分化选择但为远交的奠基品系中的遗传多样性。对杂交群体的奠基者进行了高密度基因分型,然后使用基于系谱的归因方法在整个系谱中分配基因型。归因使所选QTL中的标记密度提高了20倍,为后续分析提供了6911个标记。单标记关联分析和多标记反向消除分析都被用于探索与56日龄体重相关的区域。该方法揭示了几个统计学上和群体结构独立的关联,并提高了定位分辨率。此外,还发现大多数QTL包含与奠基群体中未固定的标记的多个独立关联,这意味着由于多个连锁位点的综合作用,可能存在一个复杂的潜在结构,这些连锁位点可能位于仍在所选品系中分离的独立单倍型上。