玉米子粒氮浓度全基因组关联分析

利用 253 份玉米自交系为关联群体，利用一般线性模型(GLM)、混合线性模型(MLM)、固定和随机模型交替概率统一(FarmCPU)和基因组相关预测集成工具(GAPIT)，分别对其子粒氮浓度进行全基因组关联分析。结果表明，共鉴定 25个与子粒氮浓度显著关联的 SNP(P<1.72E-05)。其中，GLM、FarmCPU和GAPIT方法分别检测到12、15和1个位点。S3_202120604、S1_2007087 47和S5_10258682在GLM和FarmCPU两种方法中均能检测到。Bin1.06、Bin3.07、Bin5.04、Bin1.07和Bin5.02可能是影响子粒氮浓度的重要区段。共挖掘30个相关候选基因，其中 Zm00001d031747、Zm00001d031749、Zm00001d031753、Zm00001d043502和Zm00001d01339等可能是影响玉米子粒氮浓度的关键候选基因。

Genome-wide Association Analysis for Grain Nitrogen Concentration in Maize

This study utilized 253 maize inbred lines as an association population, and used general linear model(GLM), mixed linear model(MLM), fixed and random model alternation probability unification(FarmCPU) and Genome-wide correlation prediction integration(GAPIT) to conduct genome-wide association analysis for grain nitrogen concentration. A total of 25 SNPS(P<1.72E-05) were identified. Among them, 12, 15, and 1 SNPs were detected by GLM, FarmCPU and GAPIT methods, respectively. S3_202120604, S1_200708747 and S5_10258682 were detected by both GLM and FarmCPU methods. Bin1.06, Bin3.07, Bin5.04, Bin1.07 and Bin5.02 may be the important genomic regions for grain nitrogen concentration. A total of 30 candidate genes were identified, including Zm00001d031747, Zm00001d031749, Zm00001d031753, Zm00001d043502 and Zm00001d01339, which may serve as critical candidate genes influencing maize grain nitrogen concentration.