Genome-wide association and high-resolution phenotyping link Oryza sativa panicle traits to numerous trait-specific QTL clusters.
Genome-wide association and high-resolution phenotyping link Oryza sativa panicle traits to numerous trait-specific QTL clusters.
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DOI：
10.1038/ncomms10527
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发表时间：
2016-02-04
影响因子：
16.6
通讯作者：
McCouch S
中科院分区：
文献类型：
--
作者：
Crowell S;Korniliev P;Falcão A;Ismail A;Gregorio G;Mezey J;McCouch S
穗型是水稻产量和品质育种的重要选择指标。然而，穗表型是难以衡量和易受混淆的遗传作图过程中，由于开花和亚群结构的相关性。在这里，我们量化49穗表型在242个热带水稻种质与成像平台PANORAMA。使用开花作为协变量，我们进行了全基因组关联研究（GWAS），检测许多亚群特定的协会，并使用穗表型协变量解剖多性状峰。已知调节植物结构的途径中的10个候选基因属于GWAS峰值，其中一半与实验群体中确定的数量性状位点重叠。这是第一项使用高分辨率表型分析平台评估田间生长材料的花序表型的研究。在此，我们建立了一个穗形态的驯化水稻，提出了一个复杂的穗性状的遗传模型，并证明穗大小和产量表现之间的微妙联系。 穗构型是作物产量的重要决定因素，也是植物育种家选择的目标。在这里，Crowell等人结合联合收割机基于图像的表型与高密度阵列的基因分型，进行全基因组关联研究，揭示了一些候选基因与水稻穗变异。
Rice panicle architecture is a key target of selection when breeding for yield and grain quality. However, panicle phenotypes are difficult to measure and susceptible to confounding during genetic mapping due to correlation with flowering and subpopulation structure. Here we quantify 49 panicle phenotypes in 242 tropical rice accessions with the imaging platform PANorama. Using flowering as a covariate, we conduct a genome-wide association study (GWAS), detect numerous subpopulation-specific associations, and dissect multi-trait peaks using panicle phenotype covariates. Ten candidate genes in pathways known to regulate plant architecture fall under GWAS peaks, half of which overlap with quantitative trait loci identified in an experimental population. This is the first study to assess inflorescence phenotypes of field-grown material using a high-resolution phenotyping platform. Herein, we establish a panicle morphocline for domesticated rice, propose a genetic model underlying complex panicle traits, and demonstrate subtle links between panicle size and yield performance. Panicle architecture is an important determinant of crop yield and a target of selection by plant breeders. Here, Crowell et al. combine image-based phenotyping with high-density array-based genotyping to perform a genome-wide association study revealing a number of candidate genes linked to panicle variation in rice.