Metabolomics analysis of dandelions from different geographical regions in China

小桶 代谢组学 化学 主成分分析 代谢物 色谱法 生物化学 基因 转录组 计算机科学 基因表达 人工智能
作者
Songbao Zhang,Chao Li,Wei Gu,Rongli Qiu,Jianguo Chao,Lingfeng Pei,Lijie Ma,Yangfang Guo,Rong Tian
出处
期刊:Phytochemical Analysis [Wiley]
卷期号:32 (6): 899-906 被引量:42
标识
DOI:10.1002/pca.3033
摘要

INTRODUCTION: Dandelion (Taraxacum mongolicum Hand.-Mazz.) is a perennial herb with diverse pharmacological effects. The development and utilization of dandelion have attracted much attention. OBJECTIVES: Our aims were to provide a reference basis for the identification of the origin of dandelions and to study the influence of their origin on their quality. Methods High-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was used to analyze metabolites from dandelions from four different geographical regions in China, namely Gansu, Henan, Shanxi, and Jiangsu. Metabolite analysis was performed using orthogonal partial least-squares discriminant analysis, and to identify potential metabolic pathways, MBRole was used to perform Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. RESULTS: Principal component analysis revealed that the chemical components of dandelions sampled from the four regions showed noticeable differences. Twenty-six, six, six, eight, eight, and fifteen differentially produced metabolites were identified upon comparison between Gansu and Jiangsu, Gansu and Shanxi, Gansu and Henan, Henan and Shanxi, Henan and Jiangsu, and Shanxi and Jiangsu, respectively. These differentially produced metabolites were mainly phenolic compounds. Further, KEGG pathway enrichment analysis showed that the main metabolic pathways involved were biosynthesis of phenylpropanoids and flavonoids. CONCLUSION: The methods reported herein can be used to identify the origin of dandelions; moreover, our results can serve as a reference basis for future studies.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
SimonShaw发布了新的文献求助10
1秒前
活泼的大船完成签到,获得积分10
3秒前
灯座完成签到,获得积分10
4秒前
8秒前
9秒前
林家小弟完成签到 ,获得积分10
12秒前
陈M雯完成签到 ,获得积分10
12秒前
bandian完成签到,获得积分10
12秒前
FengQY完成签到 ,获得积分10
13秒前
甜甜的黑猫完成签到,获得积分10
15秒前
18秒前
22秒前
yunwu完成签到,获得积分10
25秒前
怀抱2781完成签到,获得积分10
25秒前
英吉利25发布了新的文献求助10
27秒前
Mr.H完成签到 ,获得积分10
29秒前
34秒前
itslxl98完成签到 ,获得积分10
38秒前
41秒前
olond完成签到 ,获得积分10
43秒前
小羊放光芒完成签到 ,获得积分10
43秒前
慧慧34完成签到 ,获得积分10
46秒前
zz_1997完成签到 ,获得积分10
46秒前
天苍野茫发布了新的文献求助10
47秒前
kylin完成签到 ,获得积分10
54秒前
55秒前
田様应助科研通管家采纳,获得30
1分钟前
SimonShaw发布了新的文献求助30
1分钟前
Lily完成签到 ,获得积分10
1分钟前
KongXY完成签到 ,获得积分10
1分钟前
1分钟前
陌桑子完成签到 ,获得积分10
1分钟前
酷酷妙梦完成签到,获得积分10
1分钟前
550482956谢完成签到,获得积分10
1分钟前
潇洒醉冬完成签到,获得积分10
1分钟前
12305014077完成签到 ,获得积分10
1分钟前
JMM完成签到,获得积分10
1分钟前
550482956谢发布了新的文献求助10
1分钟前
verymiao完成签到 ,获得积分10
1分钟前
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7754497
求助须知:如何正确求助?哪些是违规求助? 9301042
关于积分的说明 20260107
捐赠科研通 7336945
什么是DOI,文献DOI怎么找? 3310859
关于科研通互助平台的介绍 2462095
邀请新用户注册赠送积分活动 2324120