| 摘要: |
| 为挖掘控制甜玉米籽粒体积和粒重的相关基因，2017—2019年，以209份甜玉米自交系构成的关联群体为材料，测定干籽粒的体积和粒重，结合全基因组重测序(De novo sequencing)获得的980万个单核苷酸多态性(Single-nucleotide polymorphism，SNP)标记，采用GLM模型进行全基因组关联分析。结果表明，甜玉米籽粒体积变异范围为0.06~0.15 mL，变异倍数为2.5倍，单粒重变异范围为0.08~0.17 g，变异倍数为2.1倍，均符合正态分布。共检测到15个SNP位点与籽粒体积或粒重显著关联，分别解释籽粒体积55.7%和粒重52.1%的表型变异，其中4个位点和普通玉米报道的QTL重叠，其余11个是新鉴定的位点，通过基因注释发现大部分候选基因为转录因子等调控基因。此外，首次检测到Br2(矮化基因2)与籽粒体积、粒重两性状均显著关联，并且籽粒体积和粒重均随着该基因表达量的升高而增加。 |
| 关键词: 甜玉米,籽粒体积,粒重,全基因组关联分析 |
| DOI：10.11841/j.issn.1007-4333.2022.07.02 |
| 投稿时间：2021-07-27 |
| 基金项目:广东省重点领域研发计划(2018B020202008)；省级乡村振兴战略专项(粤财农［2020］100号)；广东省农业科学院学科团队建设项目(202115TD)；广州市科技计划(201804020081)；广东省基础与应用基础研究基金(2019A1515010305)；科技创新战略-高水平农科院建设项目(R2017YJ-YB1002；R2018PY-QF006；R2018QD-048) |
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| Genome-wide association study of kernel volume and weight in sweet corn |
|
XIAO Yingni,LI Gaoke,LI Kun,YU Yongtao,LI Guangyu,LI Wu,GAO Yingshan,HU Jianguang
|
| (Crops Research Institute/Guangdong Provincial Key Laboratory of Crops Genetics & Improvement, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China) |
| Abstract: |
| To explore the candidate genes controlling kernel volume and kernel weight in sweet corn, an association panel containing 209 inbred lines was constructed. The kernel volume and kernel weight of sweet corn were measured and combined with 9. 8 million SNP markers obtained from whole genome denovo sequencing. GLM model was used for genome-wide association analysis. The results showed that: The kernel volume ranged from 0. 06 to 0. 15 mL, showing the change of 2. 5 fold, while kernel weight ranged from 0. 08 to 0. 17 g, showing the change of 2. 1 fold. Both of the traits exhibited normal distribution in the population. A total of fifteen significant SNPs were detected, which could explain the 55. 7% and 52. 1% of the phenotypic variation in kernel volume and kernel weight, respectively. Among them, four SNPs were overlapped with reported QTLs in field corn, and the remaining eleven SNPs were newly identified. Most of the candidate genes were transcription factors or other regulatory genes based on gene annotation. In addition, Br2 (brachytic2)was significantly associated with both kernel volume and weight in this study. Sweet corn lines with enhanced Br2 expression exhibited improvement of kernel volume and weight. |
| Key words: sweet corn kernel volume kernel weight GWAS |
