Community association populations are composed of phenotypically and genetically diverse accessions. Once these populations are genotyped, the resulting marker data can be reused by different groups investigating the genetic basis of different traits. Because the same genotypes are observed and scored for a wide range of traits in different environments, these populations represent a unique resource to investigate pleiotropy. Here we assembled a set of 234 separate trait datasets for the Sorghum Association Panel, a group of 406 sorghum genotypes widely employed by the sorghum genetics community. Comparison of genome wide association studies conducted with two independently generated marker sets for this population demonstrate that existing genetic marker sets do not saturate the genome and likely capture only 35-43% of potentially detectable loci controlling variation for traits scored in this population. While limited evidence for pleiotropy was apparent in cross-GWAS comparisons, a multivariate adaptive shrinkage approach recovered both known pleiotropic effects of existing loci and new pleiotropic effects, particularly significant impacts of known dwarfing genes on root architecture. In addition, we identified new loci with pleiotropic effects consistent with known trade-offs in sorghum development. These results demonstrate the potential for mining existing trait datasets from widely used community association populations to enable new discoveries from existing trait datasets as new, denser genetic marker datasets are generated for existing community association populations.

中文翻译：

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Meta 分析确定了控制高粱表型权衡的多效位点。

社区协会种群由表型和遗传多样化的种质组成。一旦对这些种群进行了基因分型，得到的标记数据就可以被研究不同性状遗传基础的不同群体重复使用。由于在不同环境中观察到相同的基因型并针对广泛的性状进行评分，因此这些种群代表了研究多效性的独特资源。在这里，我们为 Sorghum Association Panel 组装了一组 234 个独立的性状数据集，这是一组被高粱遗传学界广泛采用的 406 种高粱基因型。对针对该群体的两个独立生成的标记集进行的全基因组关联研究的比较表明，现有的遗传标记集不会使基因组饱和，并且可能仅捕获 35-43% 的潜在可检测基因座控制该群体中得分特征的变异。虽然在交叉 GWAS 比较中，多效性的证据有限，但多变量自适应收缩方法恢复了现有基因座的已知多效性和新的多效性效应，特别是已知矮化基因对根结构的显着影响。此外，我们还确定了具有多效性的新位点，这与高粱开发中已知的权衡取舍一致。