Peanut is an important oil crops, industrial crops and export crops in China. Resveratrol is a natural stilbene phytoalexin enhancing plant disease resistance. It is also beneficial to human health for its significant role in anti-bacterial, anti-aging, anti-cancer, protecting cardiovascular system, etc. Peanut is one of the edible plants which are the sources of human's dietary intake of resveratrol. The increase of the resveratrol content in peanut seeds can improve their healthy value and enhance their disease resistance. Because it is difficult to determine the resveratrol content technically, large-scale evaluations and genetic studies of the resveratrol content in peanut seeds were few, limiting the breeding of high yield peanut cultivars with high resveratrol content. Aimed at this problem, segregation populations derived from two peanut cultivars with significantly different resveratrol content will be used as materials to systematically measure the variation of the resveratrol content and study genetic characteristics of the resveratrol content in peanut seeds in this project. Based on RAD-seq and SSR analysis, a high-density genetic map will be constructed and used to map QTLs controlling the resveratrol content in peanut seeds. The project will provide assisted selection techniques and material basis for screening and creation of peanut germplasms with high resveratrol content in seeds.
花生是我国重要的油料作物、经济作物和出口创汇作物。白藜芦醇是一种天然的芪类植保素,可以增强植物抗病性;而且它还有利于人类健康,具有显著的抗菌、抗衰老、抗癌、保护心血管等重要作用。花生是人类从膳食中摄取白藜芦醇的可食用植物之一。增加花生种子白藜芦醇含量能够提高花生的健康价值和增强花生抗病性。由于白藜芦醇含量测定技术难度大,大规模的鉴定评价较少,花生种子白藜芦醇含量遗传研究很少,限制了高白藜芦醇含量的高产花生品种的选育。本项目针对这个难题,拟以高、低白藜芦醇含量的花生品种杂交构建的分离群体为材料,系统检测种子白藜芦醇含量的变异,分析花生种子白藜芦醇含量的遗传特性;通过简化基因组测序和SSR分析,构建高密度遗传连锁图谱,定位种子白藜芦醇含量相关QTLs。本项目的开展将为花生高白藜芦醇含量种质的筛选和创制提供辅助选择技术和材料基础。
花生是我国重要的油料作物、经济作物和出口创汇作物。白藜芦醇是一种天然的芪类植保素,可以增强植物抗病性;而且它还有利于人类健康,具有显著的抗菌、抗衰老、抗癌、保护心血管等重要作用。花生是人类从膳食中摄取白藜芦醇的可食用植物之一。增加花生种子白藜芦醇含量能够提高花生的健康价值和增强花生抗病性。由于白藜芦醇含量测定技术难度大,大规模的鉴定评价较少,花生种子白藜芦醇含量遗传研究很少,限制了高白藜芦醇含量的高产花生品种的选育。本项目针对这个难题,以徐花13号(低白藜芦醇含量)×中花6号(高白藜芦醇含量)构建的重组自交系(RIL)群体为材料,多年多点种植,系统检测了种子白藜芦醇含量的遗传变异,分析明确了花生种子白藜芦醇含量受到基因型、环境及二者互作的影响;通过简化基因组测序和SSR分析,构建了高质量的高密度遗传连锁图谱,定位到9个调控花生种子白藜芦醇含量的QTLs,表型贡献率为5.07-8.19%;QTL置信区间候选基因功能分析表明白藜芦醇含量可能受到多个初级和次级代谢途径的影响。本项目的开展揭示了花生种子白藜芦醇含量的遗传特性,为高白藜芦醇品种的培育提供了理论、技术和材料基础。
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数据更新时间:2023-05-31
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