Xu Guizhen, Cui Yanqin, Li Sida, Guan Zhongbo, Miao Hongmei, Guo Yuanzhang
Hebei Laboratory of Crop Genetics and Breeding, Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.
Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Front Plant Sci. 2024 Sep 26;15:1446062. doi: 10.3389/fpls.2024.1446062. eCollection 2024.
Sesame ( L.) is an important oilseed crop widely cultivated in subtropical and tropical areas. Low genetic yield potential and susceptibility to disease contribute to low productivity in sesame. However, the genetic basis of sesame yield- and disease-related traits remains unclear. Here, we represent the construction of a high-density bin map of sesame using whole genome sequencing of an F2 population derived from 'Yizhi' and 'Mingdeng Zhima'. A total of 2766 Bins were categorized into 13 linkage groups. Thirteen significant QTLs were identified, including ten QTLs related to yield, two QTLs related to Sesame Fusarium wilt (SFW) disease, and one QTL related to seed color. Among these QTLs, we found that SFW-QTL1.1 and SFW-QTL1.2 were major QTLs related to Fusarium wilt disease, explaining more than 20% of the phenotypic variation with LOD > 6. SCC-QTL1.1 was related to seed coat color, explaining 52% of the phenotypic variation with LOD equal to 25.3. This suggests that seed color traits were controlled by a major QTL. Candidate genes related to Fusarium wilt disease and seed color in the QTLs were annotated. We discovered a significant enrichment of genes associated with resistance to late blight. These genes could be spectral disease resistance genes and may have a role in the regulation of Fusarium wilt disease resistance. Our study will benefit the implementation of marker-assisted selection (MAS) for the genetic improvement of disease resistance and yield-related traits in sesame.
芝麻（Sesamum indicum L.）是一种重要的油料作物，广泛种植于亚热带和热带地区。遗传产量潜力低以及对病害的易感性导致芝麻产量低下。然而，芝麻产量和病害相关性状的遗传基础仍不清楚。在此，我们展示了利用源自‘豫芝’和‘明灯芝麻’的F2群体进行全基因组测序构建芝麻高密度连锁图谱的过程。总共2766个连锁群被归类到13个连锁群中。鉴定出了十三个显著的QTL，包括十个与产量相关的QTL、两个与芝麻枯萎病（SFW）相关的QTL以及一个与种子颜色相关的QTL。在这些QTL中，我们发现SFW - QTL1.1和SFW - QTL1.2是与枯萎病相关的主要QTL，其LOD > 6，解释了超过20%的表型变异。SCC - QTL1.1与种皮颜色相关，其LOD等于25.3，解释了52%的表型变异。这表明种子颜色性状受一个主要QTL控制。对QTL中与枯萎病和种子颜色相关的候选基因进行了注释。我们发现与晚疫病抗性相关的基因显著富集。这些基因可能是广谱抗病基因，可能在枯萎病抗性调控中发挥作用。我们的研究将有助于实施标记辅助选择（MAS），以对芝麻的抗病性和产量相关性状进行遗传改良。
