Li Keqi, Guo Na, Zhang Miao, Du Yuanyuan, Xu Jiali, Li Shimeng, Wang Jinxiong, Wang Rongrong, Liu Xiang, Qin Mengfan, Xu Yu, Zhu Yunlin, Song Jia, Xu Aixia, Huang Zhen
State Key Laboratory of Crop Stress Biology for Arid Areas/College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
College of Life Sciences, Shanxi Agricultural University, Taiyuan, Shanxi, China.
Front Plant Sci. 2024 Dec 20;15:1467927. doi: 10.3389/fpls.2024.1467927. eCollection 2024.
Rapeseed ( L.) is a major agricultural crop with diverse applications, particularly in the production of seed oil for both culinary use and biodiesel. However, its photosynthetic efficiency, a pivotal determinant of yield, remains relatively low compared with other C plants such as rice and soybean, highlighting the necessity of identifying the genetic loci and genes regulating photosynthesis in rapeseed. In this study, we investigated 5 photosynthesis traits and 5 leaf morphology traits in a natural population of rapeseed, and conducted a genome-wide association study (GWAS) to identify significantly associated loci and genes. The results showed that the gas-exchange parameters of the dark reactions in photosynthesis exhibited a significant positive correlation with the chlorophyll content, whereas they showed a weaker negative correlation with the leaf area. By GWAS, a total of 538 quantitative trait nucleotides (QTNs) were identified as significantly associated with traits related to both leaf morphology and photosynthesis. These QTNs were classified into 84 QTL clusters, of which, 21 clusters exhibited remarkable stability across different traits and environmental conditions. In addition, a total of 3,129 potential candidate genes were identified to be significantly associated with the above-mentioned 10 traits, most of which were shared by certain traits, further indicating the reliability of the findings. By integrating GWAS data with GO enrichment analysis and gene expression analysis, we further identified 8 key candidate genes that are associated with the regulation of photosynthesis, chlorophyll content, leaf area, and leaf petiole angle. Taken together, this study identified key genetic loci and candidate genes with the potential to improve photosynthetic efficiency in rapeseed. These findings provide a theoretical framework for breeding new rapeseed varieties with enhanced photosynthetic capabilities.
油菜(L.)是一种具有多种用途的主要农作物,尤其在用于烹饪和生物柴油生产的种子油生产方面。然而,与水稻和大豆等其他C植物相比,其光合效率(产量的关键决定因素)仍然相对较低,这凸显了鉴定油菜中调控光合作用的遗传位点和基因的必要性。在本研究中,我们调查了油菜自然群体中的5个光合性状和5个叶片形态性状,并进行了全基因组关联研究(GWAS)以鉴定显著相关的位点和基因。结果表明,光合作用暗反应的气体交换参数与叶绿素含量呈显著正相关,而与叶面积呈较弱的负相关。通过GWAS,共鉴定出538个数量性状核苷酸(QTN)与叶片形态和光合作用相关性状显著相关。这些QTN被分为84个QTL簇,其中21个簇在不同性状和环境条件下表现出显著的稳定性。此外,共鉴定出3129个潜在候选基因与上述10个性状显著相关,其中大部分为某些性状所共有,进一步表明了研究结果的可靠性。通过将GWAS数据与GO富集分析和基因表达分析相结合,我们进一步鉴定出8个与光合作用、叶绿素含量、叶面积和叶柄角度调控相关的关键候选基因。综上所述,本研究鉴定出了具有提高油菜光合效率潜力的关键遗传位点和候选基因。这些发现为培育具有增强光合能力的油菜新品种提供了理论框架。