【摘要】 【目的】探索一种能鉴定花生品种与评价品质的新型检测方法,筛选高油酸花生特异性脂质生物标志物。【方法】采用超高效液相色谱-串联质谱(UPLC-MS/MS)技术,对2个油酸含量差异显著的花生品种,即高油酸品种开农1715(KN1715)和低油酸品种冀花7号(JH7H)进行农艺性状考察、近红外分析(Near infrared spectroscopy,NIRS)与广泛靶向脂质组学(Widely targeted lipidomics,WTL)研究。【结果】农艺性状测定结果表明,高油酸花生品种KN1715的主茎、第一侧枝长度比JH7H分别高11.72%和33.74%,差异显著;而单株荚果数、单株饱果率、百果重、百仁重、出仁率分别低46.23%、5.02%、5.35%、11.68%、17.17%,差异显著。品质性状检测结果表明,KN1715的油酸、硬脂酸、花生酸、蛋白质、氨基酸、缬氨酸、蛋氨酸、异亮氨酸、亮氨酸、苯丙氨酸、组氨酸、精氨酸、脯氨酸含量均显著高于JH7H,亚油酸、棕榈酸、山嵛酸、二十四烷酸含量则相反;广泛靶向脂质组代谢物分析表明,高、低油酸品种间存在较大的脂质代谢物差异,共筛选到16类295种脂质分子,进而通过对差异代谢物多元统计分析,最终筛选到3类31种核心差异脂质分子。结合核心差异脂质代谢物与品质指标,通过聚类与相关性分析,得到可视化表型与脂质代谢物特征图谱。【结论】该方法基于广泛靶向脂质组学与近红外技术,可以很好地实现从表型与脂质分子层面对花生品种进行品种与品质鉴评。更多还原

【Abstract】 【Objective】A new detection method that can identify peanut varieties and evaluate the quality was explored, which could screen high oleic acid peanut-specific lipid biomarkers.【Method】By using ultra performance liquid chromatography tandem mass spectrometry(UPLC-MS/MS), agronomic traits investigation, near infrared spectroscopy(NIRS)analysis and widely targeted lipidomics(WTL)research were conducted on two peanut varieties with significant differences in oleic acid content, namely, the high oleic acid variety KN1715 and the low oleic acid variety JH7 H.【Result】The results of agronomic traits determination showed that, compared with JH7 H, the length of the main stem and first lateral branch of KN1715 were significantly increased by 11.72% and 33.74% respectively; while the number of pods per plant, full pods rate per plant, hundred pod weigh, hundred kernel weight, and shelling rate were significantly decreased by 46.23%, 5.02%, 5.35%, 11.68% and 17.17%, respectively. Quality traits evaluation displayed that contents of oleic acid, stearic acid, arachidic acid, protein, amino acids, valine, methionine, isoleucine, leucine, phenylalanine, histidine,arginine and proline of KN1715 significantly higher than those of JH7 H, but the contents of linoleic acid, palmitic acid,behenic acid and eicosanoic acid showed the opposite result. The WTL analysis exhibited that there were great differences in lipid metabolites between high and low oleic acid varieties, and a total of 16 classes of 295 lipid molecules were screened,and then 31 core differential lipid molecules in three classes were screened by multivariate statistical analysis of differential metabolites. Finally, the core differential lipid metabolites and quality indexes were combined with clustering and correlation analysis to obtain visualized phenotypic and lipid metabolite characteristics profiles.【Conclusion】The method can be well implemented to evaluate the variety and quality of peanut varieties at the level of phenotype and lipid molecules.更多还原