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Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population

文献类型： 外文期刊

作者： Fang, Hui 1 ; Fu, Xiuyi 2 ; Ge, Hanqiu 1 ; Zhang, Aixia 1 ; Shan, Tingyu 1 ; Wang, Yuandong 2 ; Li, Ping 1 ; Wang, Baohua 1 ;

作者机构： 1.Nantong Univ, Sch Life Sci, Minist Agr, Sci Observing & Expt Stn Maize Plain Area Souther, Nantong 226019, Peoples R China

2.Beijing Acad Agr & Forestry Sci BAAFS, Maize Res Ctr, Beijing Key Lab Maize DNA Fingerprinting & Mol Br, Shuguang Garden Middle Rd 9, Beijing 100097, Peoples R China

3.Nantong Bear Seeds Co, Nantong 226009, Peoples R China

关键词： Maize; Oil-related traits; QTL mapping; Gene-based association analysis

期刊名称：BMC PLANT BIOLOGY （ 影响因子：4.215； 五年影响因子：4.96 ）

ISSN： 1471-2229

年卷期： 2021 年 21 卷 1 期

页码：

收录情况： SCI

摘要： Background Maize (Zea mays ssp. mays) is the most abundantly cultivated and highly valued food commodity in the world. Oil from maize kernels is highly nutritious and important for the diet and health of humans, and it can be used as a source of bioenergy. A better understanding of genetic basis for maize kernel oil can help improve the oil content and quality when applied in breeding. Results In this study, a KUI3/SC55 recombinant inbred line (RIL) population, consisting of 180 individuals was constructed from a cross between inbred lines KUI3 and SC55. We phenotyped 19 oil-related traits and subsequently dissected the genetic architecture of oil-related traits in maize kernels based on a high-density genetic map. In total, 62 quantitative trait loci (QTLs), with 2 to 5 QTLs per trait, were detected in the KUI3/SC55 RIL population. Each QTL accounted for 6.7% (qSTOL1) to 31.02% (qBELI6) of phenotypic variation and the total phenotypic variation explained (PVE) of all detected QTLs for each trait ranged from 12.5% (OIL) to 52.5% (C16:0/C16:1). Of all these identified QTLs, only 5 were major QTLs located in three genomic regions on chromosome 6 and 9. In addition, two pairs of epistatic QTLs with additive effects were detected and they explained 3.3 and 2.4% of the phenotypic variation, respectively. Colocalization with a previous GWAS on oil-related traits, identified 19 genes. Of these genes, two important candidate genes, GRMZM2G101515 and GRMZM2G022558, were further verified to be associated with C20:0/C22:0 and C18:0/C20:0, respectively, according to a gene-based association analysis. The first gene encodes a kinase-related protein with unknown function, while the second gene encodes fatty acid elongase 2 (fae2) and directly participates in the biosynthesis of very long chain fatty acids in Arabidopsis. Conclusions Our results provide insights on the genetic basis of oil-related traits and a theoretical basis for improving maize quality by marker-assisted selection.

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