Crop Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, 730070, Gansu, People's Republic of China.
College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, People's Republic of China.
BMC Genomics. 2020 Feb 10;21(1):141. doi: 10.1186/s12864-020-6553-9.
Foxtail millet (Setaria italica) has been developed into a model genetical system for deciphering architectural evolution, C photosynthesis, nutritional properties, abiotic tolerance and bioenergy in cereal grasses because of its advantageous characters with the small genome size, self-fertilization, short growing cycle, small growth stature, efficient genetic transformation and abundant diverse germplasm resources. Therefore, excavating QTLs of yield component traits, which are closely related to aspects mentioned above, will further facilitate genetic research in foxtail millet and close cereal species.
Here, 164 Recombinant inbreed lines from a cross between Longgu7 and Yugu1 were created and 1,047,978 SNPs were identified between both parents via resequencing. A total of 3413 bin markers developed from SNPs were used to construct a binary map, containing 3963 recombinant breakpoints and totaling 1222.26 cM with an average distance of 0.36 cM between adjacent markers. Forty-seven QTLs were identified for four traits of straw weight, panicle weight, grain weight per plant and 1000-grain weight. These QTLs explained 5.5-14.7% of phenotypic variance. Thirty-nine favorable QTL alleles were found to inherit from Yugu1. Three stable QTLs were detected in multi-environments, and nine QTL clusters were identified on Chromosome 3, 6, 7 and 9.
A high-density genetic map with 3413 bin markers was constructed and three stable QTLs and 9 QTL clusters for yield component traits were identified. The results laid a powerful foundation for fine mapping, identifying candidate genes, elaborating molecular mechanisms and application in foxtail millet breeding programs by marker-assisted selection.
由于其小基因组大小、自花授粉、短生长周期、小生长体型、高效遗传转化和丰富多样的种质资源等有利特性,谷子(Setaria italica)已被开发成为破译禾本科植物结构进化、C 光合作用、营养特性、非生物耐受性和生物能源的模式遗传系统。因此,挖掘与上述方面密切相关的产量构成性状的 QTL 将进一步促进谷子和近缘禾本科物种的遗传研究。
本研究利用龙谷 7 与豫谷 1 杂交产生的 164 个重组自交系,通过重测序在双亲之间鉴定出 1047978 个 SNPs。总共从 SNPs 中开发了 3413 个 bin 标记,用于构建一个二进制图谱,包含 3963 个重组断点,总长 1222.26cM,相邻标记之间的平均距离为 0.36cM。鉴定出 47 个与秸秆重、穗重、单株粒重和千粒重四个性状相关的 QTL,这些 QTL 解释了 5.5-14.7%的表型方差。发现 39 个有利的 Yugu1 等位基因。在多个环境中检测到三个稳定的 QTL,并在 3、6、7 和 9 号染色体上鉴定到九个 QTL 簇。
构建了一个包含 3413 个 bin 标记的高密度遗传图谱,并鉴定到 4 个产量构成性状的 3 个稳定 QTL 和 9 个 QTL 簇。研究结果为精细定位、候选基因鉴定、分子机制阐述以及通过标记辅助选择在谷子育种计划中的应用奠定了坚实的基础。