Lu Lu, Choi Su Ryun, Lim Yong Pyo, Kang Si-Yong, Yi So Young
Institute of Agricultural Science, Chungnam National University, Daejeon, Republic of Korea.
Molecular Genetics and Genomics Laboratory, Department of Horticulture, Chungnam National University, Daejeon, Republic of Korea.
Front Plant Sci. 2023 Jun 13;14:1205681. doi: 10.3389/fpls.2023.1205681. eCollection 2023.
The production of , an important vegetable crop, is severely affected by black rot disease caused by the bacterial pathogen pv. . Resistance to race 1, the most virulent and widespread race in , is under quantitative control; therefore, identifying the genes and genetic markers associated with resistance is crucial for developing resistant cultivars. Quantitative trait locus (QTL) analysis of resistance in the F population developed by crossing the resistant parent BR155 with the susceptible parent SC31 was performed. Sequence GBS approach was used to develop a genetic linkage map. The map contained 7,940 single nucleotide polymorphism markers consisting of nine linkage groups spanning 675.64 cM with an average marker distance of 0.66 cM. The F population (N = 126) was evaluated for resistance to black rot disease in summer (2020), fall (2020), and spring (2021). QTL analysis, using a genetic map and phenotyping data, identified seven QTLs with LOD values between 2.10 and 4.27. The major QTL, , was an area of overlap between the two QTLs identified in the 2 and 3 trials located at C06. Among the genes located in the major QTL interval, 96 genes had annotation results, and eight were found to respond to biotic stimuli. We compared the expression patterns of eight candidate genes in susceptible (SC31) and resistant (BR155) lines using qRT-PCR and observed their early and transient increases or suppression in response to pv. inoculation. These results support the involvement of the eight candidate genes in black rot resistance. The findings of this study will contribute towards marker-assisted selection, additionally the functional analysis of candidate genes may elucidate the molecular mechanisms underlying black rot resistance in .
作为一种重要的蔬菜作物,[作物名称]的产量受到细菌病原体[病原体名称] pv. [具体病原体]引起的黑腐病的严重影响。对[地区名称]中最具毒性且分布最广的1号小种的抗性受数量性状控制;因此,鉴定与抗性相关的基因和遗传标记对于培育抗性品种至关重要。通过将抗性亲本BR155与感病亲本SC31杂交,对F群体的抗性进行了数量性状基因座(QTL)分析。采用序列基因型分型测序(GBS)方法构建了遗传连锁图谱。该图谱包含7940个单核苷酸多态性标记,由9个连锁群组成,跨度为675.64厘摩,平均标记距离为0.66厘摩。在夏季(2020年)、秋季(2020年)和春季(2021年)对F群体(N = 126)进行了黑腐病抗性评估。利用遗传图谱和表型数据进行QTL分析,鉴定出7个LOD值在2.10至4.27之间的QTL。主要QTL[具体QTL名称]位于C06,是2号和3号试验中鉴定出的两个QTL的重叠区域。在主要QTL区间内的基因中,有96个基因有注释结果,其中8个被发现对生物刺激有响应。我们使用qRT-PCR比较了8个候选基因在感病(SC31)和抗病(BR155)品系中的表达模式,并观察到它们在接种[病原体名称] pv. [具体病原体]后早期和短暂的增加或抑制。这些结果支持这8个候选基因参与了黑腐病抗性。本研究的结果将有助于标记辅助选择,此外,对候选基因的功能分析可能阐明[作物名称]中黑腐病抗性的分子机制。