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青藏高原薰衣草不同花期及不同组织部位精油的代谢组学分析 被引量:5

Metabolomics analysis of essential oil in different flowering periods and different parts of lavender in Qinghai–Tibet Plateau
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摘要 以生长于青藏高原的法国蓝XTD-06薰衣草(Lavandula angustifolia)为材料,基于GC-MS技术研究了薰衣草不同花期、不同组织部位的精油成分差异,并采用主成分分析(PCA)、正交偏最小二乘法判别分析(OPLS-DA)等方法,筛选出差异代谢物。结果表明,薰衣草精油以萜烯类、酯类和醇类物质为主。薰衣草一茬花三个时期的代谢物含量总体呈现降低的趋势,而二茬花的精油得率和大部分代谢物含量更高。四个花期共筛选出8种生物标志物。此外,二茬花不同组织部位代谢物种类:花>叶>茎。薰衣草不同花期及不同组织部位精油的代谢组学分析,可为薰衣草精油品质提升和综合利用提供一定理论依据。 The French blue XTD-06 Lavandula angustifolia Mill.growing on the Qinghai–Tibet Plateau as the material was used.The difference in essential oil composition of lavender in different flowering stages and parts was studied by GC-MS.Principal component analysis(PCA)and orthogonal partial least-squares discrimination analysis(OPLS-DA)and other methods to screen out the differential metabolites of the essential oil of lavender in different flowering periods and parts.The results show that lavender essential oil is mainly composed of terpenes,esters and alcohols.During the three periods of the first crop of flowers,the metabolite content showed a downward trend,while the second crop of flowers has a higher yield of essential oil and content of most metabolites.Eight biomarkers were screened in four flowering periods.In addition,metabolite species in the three parts of the second crop of flowers:flowers>leaves>stems.This experiment explores the differential metabolites of essential oils in different flowering periods and parts,hoping to provide a theoretical basis for the improvement and comprehensive utilization of lavender essential oil.
作者 张文武 张宽朝 徐晓宇 蔡永萍 金青 ZHANG Wenwu;ZHANG Kuanchao;XU Xiaoyu;CAI Yongping;JIN Qing(School of Life Science,Anhui Agricultural University,Hefei 230036,China;Anhui Provincial Engineering Technology Center for Development&Utilization of Regional Characteristic Plants,Hefei 230036,China)
出处 《植物生理学报》 CAS CSCD 北大核心 2021年第12期2310-2322,共13页 Plant Physiology Journal
基金 安徽省科技攻关重点项目(1804e03020319)。
关键词 薰衣草 精油 GC-MS 代谢组学 差异代谢物 lavender essential oil GC-MS metabolomics differential metabolites
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