千家寨不同海拔野生大理茶代谢产物特征
Characteristics of metabolites of wild Camellia talinensis at different altitudes in Qianjiazhai
侯孟月 1罗雯 1程小毛 1肖云龙 2黄晓霞1
作者信息
- 1. 西南林业大学园林园艺学院,国家林业与草原局西南风景园林工程技术研究中心,昆明 650224
- 2. 云南哀牢山国家级自然保护区镇沅管护局,云南普洱 666500
- 折叠
摘要
以云南省千家寨自然保护区内4个海拔(2050、2200、2350、2500 m)的大理茶(Camellia talinensis)天然群体为研究对象,采用高效液相色谱(UPLC-MS/MS)比较不同海拔野生大理茶的代谢产物差异,探究大理茶对不同海拔的生理代谢响应与适应.结果表明:4个海拔的大理茶共检测到12类代谢物质,1013个代谢物,最多的是黄酮类物质(23.10％),其次是酚酸类物质(16.68％);筛选出430种差异代谢物,75种共有差异代谢物,其中,2050 m海拔的黄酮类物质更为丰富,2200 m海拔的氨基酸及其衍生物、核苷酸及其衍生物、生物碱类以及脂质类物质较多,而在2350 m及2500 m海拔上,酚酸类和有机酸类物质显著增多;此外,不同海拔下的差异代谢物显著富集在黄酮类生物合成途径、咖啡因代谢途径以及氨基酸代谢途径,且随海拔升高,黄酮类途径的关键代谢物含量呈现降-增-降的变化趋势,咖啡因和氨基酸途径的关键代谢物则呈现先增后降的变化.
Abstract
We compared the difference of metabolite components of wild ancient tea(Camellia talinensis)along an altitudinal gradient(2050,2200,2350,2500 m)of Qianjiazhai Reserve in Yunnan Province by UPLC-MS/MS,to explore the physiological and metabolic response and adaptation at different altitudes.The results showed that a total of 12 categories of metabolites and 1013 metabolites in C.talinensis were detected on the four altitudes.Fla-vonoids were the most common(23.10％),followed by phenolic acids(16.68％).A total of 430 differential metabolites were selected,with 75 shared differential metabolites.More flavonoids were enriched at 2050 m alti-tude,and more amino acids and their derivatives,nucleotides and their derivatives,alkaloids and lipid metabolites at 2200 m altitude.Phenolic acids and organic acids increased significantly at altitudes of 2350 m and 2500 m.In addition,different metabolites were significantly enriched in the flavonoid biosynthesis pathway,caffeine metabo-lism pathway and amino acid metabolism pathway at different altitudes.With increasing altitude,key metabolites of flavonoid pathway showed a down-up-down trend,while the key metabolites of caffeine and amino acid pathway showed a first increasing and then decreasing trend.
关键词
海拔/大理茶/高效液相色谱/代谢组学/代谢物Key words
altitude/Camellia talinensis/UPLC-MS/MS/metabolomics/metabolite引用本文复制引用
基金项目
云南省高层次人才"青年拔尖人才"项目(YNWR-QNBJ-2020-222)
国家自然科学基金地区科学基金(31760197)
云南省农业联合面上项目(202101BD070001-041)
出版年
2024
国家科技期刊平台
NSTL
万方数据