Data from: Large effect quantitative trait loci for salicinoid phenolic glycosides in Populus: Implications for gene discovery

Genomic studies have been used to identify genes underlying many important plant secondary metabolic pathways. However, genes for salicinoid phenolic glycosides (SPGs)—ecologically important compounds with significant commercial, cultural, and medicinal applications—remain largely undescribed. We used a linkage map derived from a full‐sib population of hybrid cottonwoods (Populus spp.) to search for quantitative trait loci (QTL) for the SPGs salicortin and HCH‐salicortin. SSR markers and primer sequences were used to anchor the map to the V3.0 P. trichocarpa genome. We discovered 21 QTL for the two traits, including a major QTL for HCH‐salicortin (R2 = .52) that colocated with a QTL for salicortin on chr12. Using the V3.0 Populus genome sequence, we identified 2,983 annotated genes and 1,480 genes of unknown function within our QTL intervals. We note ten candidate genes of interest, including a BAHD‐type acyltransferase that has been potentially linked to PopulusSPGs. Our results complement other recent studies in Populus with implications for gene discovery and the evolution of defensive chemistry in a model genus. To our knowledge, this is the first study to use a full‐sib mapping population to identify QTL intervals and gene lists associated with SPGs.

基因组学研究已被用于鉴定诸多重要植物次生代谢通路的潜在功能基因。然而，水杨素类酚苷（salicinoid phenolic glycosides, SPGs）——这类兼具重要生态意义与商业、文化及药用价值的天然化合物——的编码基因仍未得到广泛解析。本研究依托源自杂交杨（Populus spp.）全同胞群体的连锁图谱，对SPGs类化合物水杨苷醇（salicortin）与HCH-水杨苷醇（HCH-salicortin）的数量性状位点（quantitative trait loci, QTL）开展定位分析。本研究采用简单序列重复（simple sequence repeat, SSR）标记及其引物序列，将该连锁图谱锚定至毛果杨V3.0（V3.0 P. trichocarpa）参考基因组。本研究共鉴定得到调控这两个性状的21个QTL，其中包含一个调控HCH-水杨苷醇的主效QTL（决定系数R²=0.52），该位点与12号染色体上调控水杨苷醇的QTL共定位。依托毛果杨V3.0基因组序列，我们在上述QTL区间内共鉴定到2983个已注释功能基因与1480个功能未知基因。本研究筛选得到10个候选功能基因，其中包括1个此前被推测与杨属SPGs合成相关的BAHD型酰基转移酶（BAHD-type acyltransferase）。本研究结果与近期其他杨属相关研究互为补充，可为该模式属的基因挖掘与防御性化学物质演化研究提供参考。据我们所知，本研究是首个利用全同胞作图群体定位SPGs相关QTL区间并构建关联基因列表的研究。