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高分辨率全基因组关联研究指出了金属转运体和螯合剂基因在玉米籽粒元素水平的遗传控制中的作用。

High-resolution genome-wide association study pinpoints metal transporter and chelator genes involved in the genetic control of element levels in maize grain.

机构信息

Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA.

Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA.

出版信息

G3 (Bethesda). 2021 Apr 15;11(4). doi: 10.1093/g3journal/jkab059.

Abstract

Despite its importance to plant function and human health, the genetics underpinning element levels in maize grain remain largely unknown. Through a genome-wide association study in the maize Ames panel of nearly 2,000 inbred lines that was imputed with ∼7.7 million SNP markers, we investigated the genetic basis of natural variation for the concentration of 11 elements in grain. Novel associations were detected for the metal transporter genes rte2 (rotten ear2) and irt1 (iron-regulated transporter1) with boron and nickel, respectively. We also further resolved loci that were previously found to be associated with one or more of five elements (copper, iron, manganese, molybdenum, and/or zinc), with two metal chelator and five metal transporter candidate causal genes identified. The nas5 (nicotianamine synthase5) gene involved in the synthesis of nicotianamine, a metal chelator, was found associated with both zinc and iron and suggests a common genetic basis controlling the accumulation of these two metals in the grain. Furthermore, moderate predictive abilities were obtained for the 11 elemental grain phenotypes with two whole-genome prediction models: Bayesian Ridge Regression (0.33-0.51) and BayesB (0.33-0.53). Of the two models, BayesB, with its greater emphasis on large-effect loci, showed ∼4-10% higher predictive abilities for nickel, molybdenum, and copper. Altogether, our findings contribute to an improved genotype-phenotype map for grain element accumulation in maize.

摘要

尽管元素含量对植物功能和人类健康至关重要,但玉米籽粒中元素水平的遗传基础在很大程度上仍不清楚。通过对近 2000 个自交系的 Ames 玉米面板进行全基因组关联研究,该面板使用了约 770 万个 SNP 标记进行了推断,我们研究了谷物中 11 种元素浓度自然变异的遗传基础。分别检测到金属转运蛋白基因 rte2(烂耳 2)和 irt1(铁调节转运蛋白 1)与硼和镍之间的新关联。我们还进一步解析了先前与一种或多种五种元素(铜、铁、锰、钼和/或锌)相关的基因座,鉴定出两个金属螯合剂和五个金属转运蛋白候选因果基因。涉及合成金属螯合剂烟碱酰胺的 nas5(烟碱酰胺合酶 5)基因与锌和铁相关,这表明控制这两种金属在谷物中积累的遗传基础存在共同性。此外,使用两种全基因组预测模型(贝叶斯岭回归(Bayesian Ridge Regression,0.33-0.51)和 BayesB(0.33-0.53)),可以对 11 种元素的籽粒表型获得中等的预测能力。在这两个模型中,更强调大效应基因座的 BayesB 对镍、钼和铜的预测能力分别提高了约 4-10%。总之,我们的研究结果为玉米籽粒元素积累的基因型-表型图谱提供了重要的补充。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebb9/8759812/cbd6b39d3069/jkab059f1.jpg

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