Leveraging GWAS data to identify metabolic pathways and networks involved in maize lipid biosynthesis

全基因组关联研究 单核苷酸多态性 生物 代谢途径 脂质代谢 鞘脂 生物途径 数量性状位点 遗传关联 遗传学 基因 生物化学 基因型 基因表达
作者
Hui Li,Adam Thrash,Juliet D. Tang,Linlin He,Jianbing Yan,Marilyn L. Warburton
出处
期刊:Plant Journal [Wiley]
卷期号:98 (5): 853-863 被引量:38
标识
DOI:10.1111/tpj.14282
摘要

Summary Maize ( Zea mays mays ) oil is a rich source of polyunsaturated fatty acids ( FA s) and energy, making it a valuable resource for human food, animal feed, and bio‐energy. Although this trait has been studied via conventional genome‐wide association study ( GWAS ), the single nucleotide polymorphism ( SNP )‐trait associations generated by GWAS may miss the underlying associations when traits are based on many genes, each with small effects that can be overshadowed by genetic background and environmental variation. Detecting these SNP s statistically is also limited by the levels set for false discovery rate. A complementary pathways analysis that emphasizes the cumulative aspects of SNP ‐trait associations, rather than just the significance of single SNP s, was performed to understand the balance of lipid metabolism, conversion, and catabolism in this study. This pathway analysis indicated that acyl‐lipid pathways, including biosynthesis of wax esters, sphingolipids, phospholipids and flavonoids, along with FA and triacylglycerol ( TAG ) biosynthesis, were important for increasing oil and FA content. The allelic variation found among the genes involved in many degradation pathways, and many biosynthesis pathways leading from FA s and carbon partitioning pathways, was critical for determining final FA content, changing FA ratios and, ultimately, to final oil content. The pathways and pathway networks identified in this study, and especially the acyl‐lipid associated pathways identified beyond what had been found with GWAS alone, provide a real opportunity to precisely and efficiently manipulate high‐oil maize genetic improvement.
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