Characterization of metabolite landscape distinguishes wild from cultivated Polygonati Rhizomes by UHPLC-Q-TOF-MS untargeted metabolomics

根茎 代谢组学 代谢物 化学 代谢组 次生代谢物 代谢物分析 植物 计算生物学 生物 生物化学 生物信息学 基因
作者
Weitao Wang,Zhihang Zheng,Jiangyan Chen,Tingting Duan,Haiyong He,Shaojun Tang
出处
期刊:Food bioscience [Elsevier BV]
卷期号:53: 102574-102574 被引量:29
标识
DOI:10.1016/j.fbio.2023.102574
摘要

Rhizome, a modified subterranean plant stem, has been used in China for centuries as a Traditional Chinese Medicine (TCM). Polygonati Rhizome (PR) is a well-known species in the Rhizome family. Previous studies show that PR might be beneficial in the treatment of osteoporosis, cancer, diabetes, and many other diseases because of its properties such as antioxidant property. Thus cultivated PR strains were developed to fulfil the increasing demands. However, the metabolite profile differences between wild-type and cultivated PR remain largely unknown. Here, we performed unbiased and untargeted quantitative mass spectrometry-based metabolomics on 1 wild strain and 3 cultivated strains. A total of 1126 metabolites were identified on all 4 strains. Analyses of these data with unsupervised and supervised approaches identified common metabolites in all 4 strains as well as strain-specific metabolites. Next, we conducted a metabolomic-wide pairwise correlation analysis on metabolite abundance and discovered 577 significantly correlated metabolite-metabolite pairs by Pearson's correlation test. Importantly, KEGG enrichment analysis indicated that phenylpropanoids biosynthesis was the most differentially expressed pathway between cultivated and wild-type PR. By contrast, common metabolites on all 4 strains might suggest shared therapeutic targets. In summary, the systematic, untargeted metabolomics profiling of 4 PR strains and comprehensive data analyses provide invaluable resources to the understanding of the metabolite landscape and shed light on potential therapeutic applications for the treatment of diseases.
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
刚刚
ding应助ValX采纳,获得10
1秒前
震动的冷梅应助bb采纳,获得20
1秒前
1秒前
zyy发布了新的文献求助30
1秒前
JamesPei应助文献采纳,获得10
2秒前
eric888应助孤独水桃采纳,获得200
2秒前
2秒前
2秒前
3秒前
Akira啊完成签到,获得积分10
3秒前
倩倩完成签到,获得积分20
3秒前
3秒前
3秒前
kk完成签到,获得积分10
4秒前
粗犷的思真完成签到,获得积分10
4秒前
慕乐珍发布了新的文献求助10
5秒前
5秒前
莫倦发布了新的文献求助10
5秒前
AllRightReserved应助黄纪毅采纳,获得10
6秒前
xiao完成签到,获得积分10
6秒前
7秒前
7秒前
Betty完成签到,获得积分10
7秒前
mini珍珍鱼发布了新的文献求助10
7秒前
7秒前
7秒前
英姑应助科研狗采纳,获得10
8秒前
8秒前
科研通AI6.2应助alice采纳,获得10
8秒前
DEJAVU完成签到,获得积分10
8秒前
9秒前
冷静的三问完成签到,获得积分10
9秒前
桐桐应助地球是我捏圆的采纳,获得10
9秒前
wuwei91完成签到,获得积分10
9秒前
9秒前
王春来发布了新的文献求助10
10秒前
10秒前
冉冉发布了新的文献求助10
11秒前
情怀应助uu采纳,获得10
12秒前
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
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6520941
求助须知:如何正确求助?哪些是违规求助? 8314019
关于积分的说明 17783947
捐赠科研通 5623017
什么是DOI,文献DOI怎么找? 2927459
邀请新用户注册赠送积分活动 1904249
关于科研通互助平台的介绍 1764486