Yu Chuying, Yang Qihong, Li Weiliu, Jiang Yaqin, Gan Guiyun, Cai Liangyu, Li Xinchun, Li Zhiqiang, Li Wenjia, Zou Min, Yang Yang, Wang Yikui
Vegetable Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China.
Vegetable and Flower Research Institute, Chongqing Academy of Agricultural Sciences, Chongqing, China.
Front Plant Sci. 2024 Nov 25;15:1492242. doi: 10.3389/fpls.2024.1492242. eCollection 2024.
Current eggplant variety breeding is still mainly based on conventional methods, and there remains a lack of effective molecular breeding systems for complex traits controlled by multiple genes, such as yield and quality. To accelerate the research progress of eggplant genetics and molecular breeding, it is necessary to implement a genome-based breeding strategy.
Therefore, in this study, a SNP array containing 50K liquid-phase probes was designed on the basis of the resequencing data of 577 eggplants.
The developed 50K liquid-phase probes were used to perform targeted capture sequencing on 12 eggplant lines, and the efficiency of probe capture exceeded 99.25%. Principal component, phylogenetic, and population structure analyses divided the 577 eggplants into 7 subgroups, and statistical analysis was performed on the fruit shape and color of the materials in the different subgroups. Further analysis of the geographical distribution of 428 Chinese eggplant materials revealed that the geographical regions of different subgroups were similar. The 50K SNP liquid-phase array was used to perform bulked- segregant analysis combined with whole-genome resequencing (BSA-seq) of fruit shape in the F population, which consisted of 1435 lines constructed with E421 as the maternal parent and 145 as the paternal parent. The BSA-seq data were located in the 78444173-84449348 interval on chromosome 3, with a size of 6 Mb, which was narrowed to 712.6 kb through fine mapping. Further sequence alignment and expression analysis revealed as a candidate gene controlling eggplant fruit shape. The 50K SNP liquid-phase array can be widely used in future eggplant molecular breeding research.
目前茄子品种选育仍主要基于传统方法,对于产量和品质等受多基因控制的复杂性状,仍缺乏有效的分子育种体系。为加快茄子遗传与分子育种研究进展,有必要实施基于基因组的育种策略。
因此,本研究基于577份茄子的重测序数据设计了一个包含50K液相探针的SNP芯片。
所开发的50K液相探针用于对12份茄子品系进行靶向捕获测序,探针捕获效率超过99.25%。主成分分析、系统发育分析和群体结构分析将577份茄子分为7个亚组,并对不同亚组材料的果实形状和颜色进行了统计分析。对428份中国茄子材料的地理分布进一步分析发现,不同亚组的地理区域相似。利用50K SNP液相芯片对以E421为母本、145为父本构建的包含1435个株系的F群体的果实形状进行了混合分组分析法结合全基因组重测序(BSA-seq)。BSA-seq数据定位在3号染色体78444173 - 84449348区间,大小为6 Mb,通过精细定位缩小至712.6 kb。进一步的序列比对和表达分析揭示了 作为控制茄子果实形状的候选基因。50K SNP液相芯片可广泛应用于未来茄子分子育种研究。