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1.河南省农业科学院农产品质量安全研究所,河南 郑州 450002
2.新疆哈密市伊州区农产品质量安全 检测中心,新疆 哈密 839000
3.宁夏医科大学 药学院,宁夏 银川 750004
李淑芳,博士,助理研究员,研究方向:化学计量学仪器分析新方法,E-mail:lishufang@hnagri.org.cn
收稿:2024-12-23,
修回:2025-03-21,
录用:2025-03-21,
纸质出版:2025-10-15
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李淑芳,刘文斌,冯书惠,杨亚琴,胡永建,郝学飞,程莹莹,于永杰.基于非靶向代谢组学的不同品种香菇差异分析[J].分析测试学报,2025,44(10):2143-2152.
LI Shu-fang,LIU Wen-bin,FENG Shu-hui,YANG Ya-qin,HU Yong-jian,HAO Xue-fei,CHENG Ying-ying,YU Yong-jie.Differential Analysis of Different Varieties of Lentinula Edodes Based on Untargeted Metabolomics[J].Journal of Instrumental Analysis,2025,44(10):2143-2152.
李淑芳,刘文斌,冯书惠,杨亚琴,胡永建,郝学飞,程莹莹,于永杰.基于非靶向代谢组学的不同品种香菇差异分析[J].分析测试学报,2025,44(10):2143-2152. DOI: 10.12452/j.fxcsxb.24122331.
LI Shu-fang,LIU Wen-bin,FENG Shu-hui,YANG Ya-qin,HU Yong-jian,HAO Xue-fei,CHENG Ying-ying,YU Yong-jie.Differential Analysis of Different Varieties of Lentinula Edodes Based on Untargeted Metabolomics[J].Journal of Instrumental Analysis,2025,44(10):2143-2152. DOI: 10.12452/j.fxcsxb.24122331.
采用非靶向代谢组学技术分析了9608、七河9号、钰森3号 3个不同品种香菇中的非挥发性化合物,使用液质联用自动化解析软件AntDAS-DDA直接对数据依赖采集模式获得的超高效液相色谱-高分辨质谱(UHPLC-HRMS)原始信号进行解析。综合正、负离子模式下的分析结果共鉴定出66种差异代谢物,经标准品验证的物质有14种。其中,两种模式共有6种验证的化合物,包括谷氨酸、苯丙氨酸、腺嘌呤、黄嘌呤、鸟苷、维生素B2。在代谢物解析的基础上,利用层次聚类分析及主成分分析方法实现了不同品种香菇样本的判别分析。结果表明,不同品种香菇代谢物的含量各具特色,9608中苦味氨基酸及核苷酸类物质、钰森3号中维生素及鲜味氨基酸、七河9号中香菇嘌呤及精氨酸的含量较高。研究结果可为香菇品种选育、品质评价及资源利用提供指导。
The chemical components of fruiting body from different varieties of
Lentinula edodes
are directly associated to their sensory quality,nutritional efficacy and even processing performance. In the present work,an untargeted metabolomics method was developed to analyze the nonvolatility compounds of different varieties of
Lentinula edodes
(9608,Qihe No.9,Yusen No.3). The raw data of
Lentinula edodes
samples were collected by ultrahigh performance liquid chromatography-high resolution mass spectrometry(UHPLC-HRMS) under data-dependent acquisition mode. The acquired UHPLC-HRMS data files were directly imported into a recently proposed chemometric automatic data analysis software AntDAS-DDA to accomplish the metabolomics analysis. The software integrates UHPLC-HRMS data reading and resolution,as well as compound identification,multi-group sample batch processing,and chemometric modeling into one platform. After the comprehensive analysis of results under positive and negative ion modes,66 differential metabolites were identified and 14 compounds were verified by standards. Among them,6 compounds could be identified and validated in both modes,including glutamic acid,phenylalanine,adenine,xanthine,guanosine,and riboflavin. Finally,hierarchical clustering analysis and principal component analysis were used to realize the discr
iminant analysis of
Lentinula edodes
samples from various varieties based on the metabolite identification. The studies indicated that the metabolites of different varieties of
Lentinula edodes
had unique qualities of their own,including high levels of bitter amino acids and nucleotides in 9608,vitamin and umami amino acids in Yusen No.3,as well as purine and arginine in Qihe No.9,which would provide guidance for the varieties breeding,quality evaluation and resource utilization in the future research of
Lentinula edodes
.
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