Alomari Dalia Z, Eggert Kai, von Wirén Nicolaus, Pillen Klaus, Röder Marion S
Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.
Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, Halle, Germany.
Front Plant Sci. 2017 Oct 27;8:1797. doi: 10.3389/fpls.2017.01797. eCollection 2017.
Mineral concentrations in cereals are important for human health, especially for people who depend mainly on consuming cereal diet. In this study, we carried out a genome-wide association study (GWAS) of calcium concentrations in wheat ( L.) grains using a European wheat diversity panel of 353 varieties [339 winter wheat (WW) plus 14 of spring wheat (SW)] and phenotypic data based on two field seasons. High genotyping densities of single-nucleotide polymorphism (SNP) markers were obtained from the application of the 90k iSELECT ILLUMINA chip and a 35k Affymetrix chip. Inductively coupled plasma optical emission spectrometry (ICP-OES) was used to measure the calcium concentrations of the wheat grains. Best linear unbiased estimates (BLUEs) for calcium were calculated across the seasons and ranged from 288.20 to 647.50 among the varieties (μg g DW) with a mean equaling 438.102 (μg g DW), and the heritability was 0.73. A total of 485 SNP marker-trait associations (MTAs) were detected in data obtained from grains cultivated in both of the two seasons and BLUE values by considering associations with a -log (-value) ≥3.0. Among these SNP markers, we detected 276 markers with a positive allele effect and 209 markers with a negative allele effect. These MTAs were found on all chromosomes except chromosomes 3D, 4B, and 4D. The most significant association was located on chromosome 5A (114.5 cM) and was linked to a gene encoding cation/sugar symporter activity as a potential candidate gene. Additionally, a number of candidate genes for the uptake or transport of calcium were located near significantly associated SNPs. This analysis highlights a number of genomic regions and candidate genes for further analysis as well as the challenges faced when mapping environmentally variable traits in genetically highly diverse variety panels. The research demonstrates the feasibility of the GWAS approach for illuminating the genetic architecture of calcium-concentration in wheat grains and for identifying putative candidate genes underlying this trait.
谷物中的矿物质浓度对人体健康很重要,尤其对于主要依赖谷物饮食的人群。在本研究中,我们利用由353个品种组成的欧洲小麦多样性群体(339个冬小麦品种加上14个春小麦品种)以及基于两个田间季的表型数据,对小麦(Triticum aestivum L.)籽粒中的钙浓度进行了全基因组关联研究(GWAS)。通过应用90k iSELECT ILLUMINA芯片和35k Affymetrix芯片,获得了单核苷酸多态性(SNP)标记的高基因分型密度。采用电感耦合等离子体发射光谱法(ICP - OES)测定小麦籽粒中的钙浓度。计算了各季钙的最佳线性无偏估计值(BLUEs),品种间钙浓度范围为288.20至647.50(μg g DW),平均值为438.102(μg g DW),遗传力为0.73。通过考虑与-log(p值)≥3.0的关联,在两个季节种植的籽粒数据和BLUE值中总共检测到485个SNP标记 - 性状关联(MTA)。在这些SNP标记中,我们检测到276个具有正向等位基因效应的标记和209个具有负向等位基因效应的标记。这些MTA分布在除3D、4B和4D染色体外的所有染色体上。最显著的关联位于5A染色体(114.5 cM)上,与一个编码阳离子/糖同向转运体活性的基因连锁,该基因是一个潜在的候选基因。此外,一些与钙吸收或运输相关的候选基因位于显著关联的SNP附近。该分析突出了一些有待进一步分析的基因组区域和候选基因,以及在遗传高度多样的品种群体中定位环境可变性状时面临的挑战。该研究证明了GWAS方法在阐明小麦籽粒钙浓度遗传结构以及鉴定该性状潜在候选基因方面的可行性。