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Imputation-Based Fine-Mapping Suggests That Most QTL in an Outbred Chicken Advanced Intercross Body Weight Line Are Due to Multiple Linked Loci

机译:基于归因的精细映射表明远亲鸡先进的跨体重线中的大多数QTL均归因于多个链接位点

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摘要

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 F2-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.
机译:超过50代,已针对不同的少年体重选择了弗吉尼亚鸡种。如今,高体重和低体重线显示所选特征56 d体重的差异> 12倍。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。以前,在品系之间的F2杂交中定位了几个导致品系间重量差异的数量性状基因座(QTL),随后将它们复制并精细映射到它们的9代高级杂交中。在这里,我们探索通过基于谱系的插补策略进一步提高这些QTL的精细图谱分辨率的可能性,该插补策略旨在更好地捕获在不同选择但近交的创始人系中的遗传多样性。 Intercross的创建者进行了高密度基因分型,然后使用基于系谱的插补在整个系谱中分配基因型。插补将所选QTL中的标记密度提高了20倍,为后续分析提供了6911个标记。单标记关联和多标记向后消除分析均用于探索与56天体重相关的区域。该方法揭示了几个独立于统计和人口结构的关联,并提高了绘图分辨率。此外,还发现大多数QTL都包含多个独立的标记,这些标记在创始人群体中没有固定,这暗示着复杂的基础结构,这是由于多个连锁基因座的组合效应所致,这些基因座可能仍位于独立的单体型上,这些单体型仍在选定的系中分离。

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