Wu Jianzhong, Wang Qi, Han Weibo, Zhao Qian, Sun Dequan, Shen Zhongbao
Institute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China.
College of Life Science and Technology, Harbin Normal University, Harbin 150025, China.
Plants (Basel). 2025 Apr 10;14(8):1181. doi: 10.3390/plants14081181.
Assessing the nutritional quality of silage maize ( L.) hinges largely on its oil content, a complex quantitative trait influenced by multiple genes. Mining candidate genes within oil content-related quantitative trait loci (QTLs) can provide genetic resources and a theoretical foundation for cultivating high-oil silage maize varieties. This study employed 274 doubled haploid (DH) lines derived from the parental lines BY4944 and DNF34-2 to perform main gene plus polygene mixed genetic analysis and complex interval mapping (CIM), with the goal of pinpointing oil content-related QTLs and genes distributed across the L. genome. Leveraging 5400 single nucleotide polymorphism (SNPs), a high-resolution silage maize genetic linkage map covering 3864.51 cM was constructed with an average interval between markers of 0.74 cM. Analysis of the map revealed 13 oil content-related QTLs. The most significant large-effect QTL (qOIL-1-1), located on chromosome 1 within the region spanning 240.93 Mb to 256.57 Mb, exhibited a logarithm of odds (LOD) score of 3.34 and explained 5.06% of oil content-related phenotypic variation. Within these QTLs, 617 genes were annotated. Through transcriptome analysis combined with quantitative real-time polymerase chain reaction (RT-qPCR), five candidate genes potentially associated with oil content were predicted and subsequently validated within these genetic loci. This research underscores the potential of identifying candidate genes to enhance breeding efforts aimed at augmenting oil content, thereby advancing animal husbandry practices.
评估青贮玉米（L.）的营养品质很大程度上取决于其油含量，这是一个受多个基因影响的复杂数量性状。在与油含量相关的数量性状位点（QTL）内挖掘候选基因可为培育高油青贮玉米品种提供遗传资源和理论基础。本研究利用来自亲本系BY4944和DNF34 - 2的274个双单倍体（DH）系进行主基因加多基因混合遗传分析和复合区间作图（CIM），目的是确定分布在L.基因组中的与油含量相关的QTL和基因。利用5400个单核苷酸多态性（SNP）构建了一张覆盖3864.51 cM的高分辨率青贮玉米遗传连锁图谱，标记间平均间隔为0.74 cM。对该图谱的分析揭示了13个与油含量相关的QTL。最显著的大效应QTL（qOIL - 1 - 1）位于第1号染色体上，区间为240.93 Mb至256.57 Mb，其对数优势（LOD）得分为3.34，解释了5.06%的油含量相关表型变异。在这些QTL内，注释了617个基因。通过转录组分析结合定量实时聚合酶链反应（RT - qPCR），预测了5个可能与油含量相关的候选基因，并随后在这些遗传位点内进行了验证。本研究强调了识别候选基因以加强旨在提高油含量的育种工作的潜力，从而推动畜牧业发展。
