Yu Yan, Yang Zaijun, Wu Yichao, Jiang Yuanyuan, Liao Jinqiu, Yang Ruiwu, Zhang Li
College of Science, Sichuan Agricultural University, Ya'an, 625014, People's Republic of China.
College of Life Science, China West Normal University, Nanchong, 637002, People's Republic of China.
Biochem Genet. 2024 Nov 15. doi: 10.1007/s10528-024-10964-6.
Tanshinones are abietane diterpenoid quinone compounds with diverse biological activities and pharmacological effects found in Salvia miltiorrhiza. Leveraging the high-density genetic map established through our prior research endeavors, we conducted a quantitative trait locus (QTL) analysis pertaining to the concentrations of three major tanshinone components, cryptotanshinone, tanshinone I, and tanshinone IIA, in S. miltiorrhiza. This extensive investigation was conducted across three distinct planting environments, ultimately identifying a comprehensive repertoire of 27 discernible QTLs. These QTLs were mapped onto four distinct linkage groups (LG), namely LG1, LG5, LG6, and LG7, which explained 3.11%-37.85% phenotypic variation. Candidate genes were projected based on consistent QTLs detected for each active ingredient in three environments. Nineteen putative candidate genes involved in the regulation of tanshinone biosynthesis were identified. These genes participate in primary metabolic and multiple branching terpenoid biosynthesis pathways, forming a complex regulatory network. Our findings have the potential to offer novel insights into advancing the understanding of the regulatory mechanisms governing tanshinone biosynthesis. Furthermore, these results establish crucial groundwork for gene discovery, marker-assisted selection breeding, and map-based cloning of functional genes associated with tanshinone content in S. miltiorrhiza.
丹参酮是在丹参中发现的具有多种生物活性和药理作用的松香烷二萜醌类化合物。利用我们之前的研究建立的高密度遗传图谱,我们对丹参中三种主要丹参酮成分隐丹参酮、丹参酮I和丹参酮IIA的含量进行了数量性状位点(QTL)分析。这项广泛的研究在三种不同的种植环境中进行,最终确定了27个可识别的QTL的完整清单。这些QTL被定位到四个不同的连锁群(LG)上,即LG1、LG5、LG6和LG7,它们解释了3.11%-37.85%的表型变异。根据在三种环境中为每种活性成分检测到的一致QTL预测了候选基因。鉴定出19个参与丹参酮生物合成调控的推定候选基因。这些基因参与初级代谢和多个分支的萜类生物合成途径,形成一个复杂的调控网络。我们的研究结果有可能为推进对丹参酮生物合成调控机制的理解提供新的见解。此外,这些结果为丹参中与丹参酮含量相关的基因发现、标记辅助选择育种和基于图谱的功能基因克隆奠定了关键基础。