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Metabolome-Scale Genome-Wide Association Studies Reveal Chemical Diversity and Genetic Control of Maize Specialized Metabolites

机译:代谢型基因组 - 范围协会研究揭示了玉米专门代谢物的化学多样性和遗传控制

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Cultivated maize (Zea mays) has retained much of the genetic diversity of its wild ancestors. Here, we performed nontargeted liquid chromatography-mass spectrometry metabolomics to analyze the metabolomes of the 282 maize inbred lines in the Goodman Diversity Panel. This analysis identified a bimodal distribution of foliar metabolites. Although 15% of the detected mass features were present in >90% of the inbred lines, the majority were found in 50% of the samples. Whereas leaf bases and tips were differentiated by flavonoid abundance, maize varieties (stiff-stalk, nonstiff-stalk, tropical, sweet maize, and popcorn) showed differential accumulation of benzoxazinoid metabolites. Genome-wide association studies (GWAS), performed for 3,991 mass features from the leaf tips and leaf bases, showed that 90% have multiple significantly associated loci scattered across the genome. Several quantitative trait locus hotspots in the maize genome regulate the abundance of multiple, often structurally related mass features. The utility of maize metabolite GWAS was demonstrated by confirming known benzoxazinoid biosynthesis genes, as well as by mapping isomeric variation in the accumulation of phenylpropanoid hydroxycitric acid esters to a single linkage block in a citrate synthase-like gene. Similar to gene expression databases, this metabolomic GWAS data set constitutes an important public resource for linking maize metabolites with biosynthetic and regulatory genes.
机译:栽培玉米(Zea Mays)保留了其野生祖先的大部分遗传多样性。在这里,我们进行了不靶向液相色谱 - 质谱法代谢组科,分析了Goodman多样性面板中282米血液近交系的代谢。该分析确定了叶面代谢物的双峰分布。虽然6%的检测到的质量特征存在于近交系中的> 90%,但大多数在50%的样品中被发现。虽然叶基和提示通过黄酮丰富的丰富,玉米品种(僵硬茎,非抗杆,热带,甜玉米和爆米花)差异化,显示出苯并恶嗪代谢物的差异积聚。基因组 - 宽协会研究(GWAs)从叶尖和叶子底座进行3,991个质量特征,表明90%有多个显着相关的基因座散落在基因组上。玉米基因组中的几种定量性状轨迹热点调节多重,通常结构相关的质量特征。通过证实已知的苯并恶嗪生物合成基因来证明玉米代谢物Gwas的效用,以及通过在柠檬酸合酶样基因中的单键聚嵌段中映射苯基丙酸羟基核酸酯的积累中的异构变异。类似于基因表达数据库,这种代谢组织GWAS数据集构成了用于将玉米代谢物与生物合成和调节基因连接的重要公共资源。

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