Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha, 410125, China.
Hunan Hybrid Rapeseed Engineering and Technology Research Center, Changsha, 410125, China.
Mol Genet Genomics. 2022 May;297(3):699-710. doi: 10.1007/s00438-022-01881-7. Epub 2022 Mar 14.
Increasing the yield of rapeseed is required to meet the rapidly expanding demand for both edible vegetable oil and biofuel. Branching, an important determinant of yield potential in rapeseed, is controlled by a series of quantitative trait loci (QTLs). To explore the genetic mechanism regulating the natural variation of branching, a BCF population derived from a cross between dense branching 2 (dense branching line) and L72 (normal branching line) was used to map QTL conferring branching in rapeseed. A major QTL, qDB.A03, for branching-related traits was identified by the BeadChip Array assisted bulked segregation analysis method, which was subsequently validated by the classical QTL mapping approach, and fine mapped to the 256 kb region. This interval contains 56 annotated or predicted genes, 8 of which are candidates for controlling the branching trait. Comparative and expression analysis revealed four promising candidate genes for qDB.A03. Fine mapping and identification of the candidate genes for qDB.A03 represents the first step toward unraveling the genetical and molecular mechanisms controlling branching in rapeseed.
为了满足人们对食用油和生物燃料不断增长的需求，油菜籽的产量需要提高。分枝是油菜籽产量潜力的一个重要决定因素，它由一系列数量性状位点（QTLs）控制。为了探索调节分枝自然变异的遗传机制，利用源于密枝 2（密枝系）和 L72（正常分枝系）杂交的 BCF 群体，通过芯片辅助的分离群体分析方法对油菜分枝相关性状进行 QTL 作图。通过芯片辅助的分离群体分析方法，鉴定出一个控制分枝相关性状的主效 QTL qDB.A03，随后通过经典 QTL 作图方法进行验证，并精细定位到 256kb 区间。该区间包含 56 个注释或预测基因，其中 8 个候选基因可能控制分枝性状。比较和表达分析揭示了 qDB.A03 的四个有前途的候选基因。qDB.A03 候选基因的精细定位和鉴定代表了解析油菜分枝遗传和分子机制的第一步。
