Institute of Biological Environmental and Rural Sciences (IBERS), Aberystwyth University, Plas Gogerddan, Aberystwyth SY23 3 EB, UK.
International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Hyderabad 502324, India.
Cells. 2021 Nov 8;10(11):3076. doi: 10.3390/cells10113076.
As efforts are made to increase food security, millets are gaining increasing importance due to their excellent nutritional credentials. Among the millets, pearl millet is the predominant species possessing several health benefiting nutritional traits in its grain that are helpful in mitigating chronic illnesses such as type-2 diabetes and obesity. In this paper, we conducted metabolomic fingerprinting of 197 pearl millet inbred lines drawn randomly from within the world collection of pearl millet germplasm and report the extent of genetic variation for health benefitting metabolites in these genotypes. Metabolites were extracted from seeds and assessed using flow infusion high-resolution mass spectrometry (FIE-HRMS). Metabolite features (/), whose levels significantly differed among the germplasm inbred lines, were identified by ANOVA corrected for FDR and subjected to functional pathway analysis. A number of health-benefiting metabolites linked to dietary starch, antioxidants, vitamins, and lipid metabolism-related compounds were identified. Metabolic genome-wide association analysis (mGWAS) performed using the 396 / as phenotypic traits and the 76 K SNP as genotypic variants identified a total of 897 SNPs associated with health benefiting nutritional metabolite at the -log -value ≤ 4.0. From these associations, 738 probable candidate genes were predicted to have an important role in starch, antioxidants, vitamins, and lipid metabolism. The mGWAS analysis focused on genes involved in starch branching (α-amylase, β-amylase), vitamin-K reductase, UDP-glucuronosyl, and UDP-glucosyl transferase (UGTs), L-ascorbate oxidase, and isoflavone 2'-monooxygenase genes, which are known to be linked to increases in human health benefiting metabolites. We demonstrate how metabolomic, genomic, and statistical approaches can be utilized to pinpoint genetic variations and their functions linked to key nutritional properties in pearl millet, which in turn can be bred into millets and other cereals crops using plant breeding methods.
随着人们努力提高粮食安全水平,由于小米具有出色的营养特性,其重要性日益增加。在小米中,珍珠小米是主要物种,其谷物具有几种有益于健康的营养特性,有助于减轻 2 型糖尿病和肥胖等慢性疾病。在本文中,我们对随机从珍珠小米种质世界收集品中抽取的 197 个珍珠小米自交系进行了代谢组指纹图谱分析,并报告了这些基因型中有益于健康的代谢物的遗传变异程度。从种子中提取代谢物,并使用流动注射高分辨率质谱(FIE-HRMS)进行评估。通过方差分析(ANOVA)校正 FDR 并进行功能途径分析,确定了代谢物特征(/),其水平在种质自交系之间存在显著差异。确定了与膳食淀粉、抗氧化剂、维生素和脂质代谢相关化合物有关的一些有益健康的代谢物。使用 396 个/作为表型特征和 76 K SNP 作为基因型变体进行代谢全基因组关联分析(mGWAS),总共鉴定出与有益于健康的营养代谢物相关的 897 个 SNP,其-log 值≤4.0。从这些关联中,预测了 738 个可能的候选基因在淀粉、抗氧化剂、维生素和脂质代谢中具有重要作用。mGWAS 分析侧重于涉及淀粉分支(α-淀粉酶、β-淀粉酶)、维生素 K 还原酶、UDP-葡糖醛酸基和 UDP-葡萄糖基转移酶(UGTs)、L-抗坏血酸氧化酶和异黄酮 2'-单加氧酶基因的基因,这些基因已知与有益于人类健康的代谢物的增加有关。我们展示了如何利用代谢组学、基因组学和统计学方法来确定与珍珠小米关键营养特性相关的遗传变异及其功能,进而可以通过植物育种方法将其培育到小米和其他谷类作物中。