Maize Institute, Shandong Academy of Agricultural Sciences, Jinan, China.
BMC Plant Biol. 2022 Sep 21;22(1):449. doi: 10.1186/s12870-022-03812-5.
Understanding the genetic basis of yield related traits contributes to the improvement of grain yield in maize.
Using 291 excellent maize inbred lines as materials, six yield related traits of maize, including grain yield per plant (GYP), grain length (GL), grain width (GW), kernel number per row (KNR), 100 kernel weight (HKW) and tassel branch number (TBN) were investigated in Jinan, in 2017, 2018 and 2019. The average values of three environments were taken as the phenotypic data of yield related traits, and they were statistically analyzed. Based on 38,683 high-quality SNP markers in the whole genome of the association panel, the MLM with PCA model was used for genome-wide association analysis (GWAS) to obtain 59 significantly associated SNP sites. Moreover, 59 significantly associated SNPs (P < 0.0001) referring to GYP, GL, GW, KNR, HKW and TBN, of which 14 SNPs located in yield related QTLs/QTNs previously reported. A total of 66 candidate genes were identified based on the 59 significantly associated SNPs, of which 58 had functional annotation.
Using genome-wide association analysis strategy to identify genetic loci related to maize yield, a total of 59 significantly associated SNP were detected. Those results aid in our understanding of the genetic architecture of maize yield and provide useful SNPs for genetic improvement of maize.
了解与产量相关性状的遗传基础有助于提高玉米的产量。
利用 291 份优良玉米自交系为材料，于 2017、2018 和 2019 年在济南对玉米的 6 个产量相关性状进行了研究，包括单株粒重（GYP）、粒长（GL）、粒宽（GW）、行粒数（KNR）、百粒重（HKW）和穗枝数（TBN）。三个环境的平均值作为产量相关性状的表型数据进行统计分析。基于关联群体全基因组中 38683 个高质量 SNP 标记，采用 MLM 与 PCA 模型进行全基因组关联分析（GWAS），获得 59 个显著相关的 SNP 位点。此外，59 个显著相关的 SNP（P<0.0001）与 GYP、GL、GW、KNR、HKW 和 TBN 相关，其中 14 个 SNP 位于先前报道的与产量相关的 QTL/QTN 中。基于 59 个显著相关的 SNP 共鉴定出 66 个候选基因，其中 58 个具有功能注释。
利用全基因组关联分析策略鉴定与玉米产量相关的遗传位点，共检测到 59 个显著相关的 SNP。这些结果有助于我们理解玉米产量的遗传结构，并为玉米的遗传改良提供有用的 SNP。
