Cargando…

Comparative metabolomics provides novel insights into correlation between dominant habitat factors and constituents of Stellaria Radix (Stellaria dichotoma L. var. lanceolata Bge.)

Stellaria dichotoma L. var. lanceolata Bge. (SDL) is the original plant of the traditional Chinese medicine Yinchaihu (Stellaria Radix). It is mainly distributed in the arid desert areas of northwest China, which is the genuine medicinal material and characteristic cultivated crop in Ningxia. This s...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Zhenkai, Wang, Hong, Feng, Lu, Song, Le, Lu, Yongping, Li, Hongying, Li, Yanqing, Tian, Gege, Yang, Yan, Li, Haishan, Mei, Xiangui, Peng, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733579/
https://www.ncbi.nlm.nih.gov/pubmed/36507406
http://dx.doi.org/10.3389/fpls.2022.1035712
_version_ 1784846408273100800
author Li, Zhenkai
Wang, Hong
Feng, Lu
Song, Le
Lu, Yongping
Li, Hongying
Li, Yanqing
Tian, Gege
Yang, Yan
Li, Haishan
Mei, Xiangui
Peng, Li
author_facet Li, Zhenkai
Wang, Hong
Feng, Lu
Song, Le
Lu, Yongping
Li, Hongying
Li, Yanqing
Tian, Gege
Yang, Yan
Li, Haishan
Mei, Xiangui
Peng, Li
author_sort Li, Zhenkai
collection PubMed
description Stellaria dichotoma L. var. lanceolata Bge. (SDL) is the original plant of the traditional Chinese medicine Yinchaihu (Stellaria Radix). It is mainly distributed in the arid desert areas of northwest China, which is the genuine medicinal material and characteristic cultivated crop in Ningxia. This study aims to analyze the effects of different origins on SDL metabolites and quality, as well as to screen the dominant habitat factors affecting SDL in different origins. In this study, metabolites of SDL from nine different production areas were analyzed by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF MS) based metabolomics. And field investigations were conducted to record thirteen habitat-related indicators. Results showed that 1586 metabolites were identified in different origins, which were classified as thirteen categories including lipids, organic acids and organic heterocyclic compounds derivatives. Multivariate statistical analysis showed that the metabonomic spectra of SDL from different origins had various characteristics. What’s more, co-expression network correlation analysis revealed that three metabolites modules (MEturquoise, MEbrown and MEblue) were more closely with the habitat factors and 104 hub metabolites were further screened out as the habitat-induced metabolite indicators. Besides, soil texture, soil pH value and soil total salt content were found as the dominant habitat factors which affect SDL metabolites. In conclusion, the study showed different habitat factors had various effects on SDL’s quality and established relationship between them, which provide reference for revealing SDL’s genuineness formation mechanism and guiding industrial crops practical production by habitat factors selection.
format Online
Article
Text
id pubmed-9733579
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97335792022-12-10 Comparative metabolomics provides novel insights into correlation between dominant habitat factors and constituents of Stellaria Radix (Stellaria dichotoma L. var. lanceolata Bge.) Li, Zhenkai Wang, Hong Feng, Lu Song, Le Lu, Yongping Li, Hongying Li, Yanqing Tian, Gege Yang, Yan Li, Haishan Mei, Xiangui Peng, Li Front Plant Sci Plant Science Stellaria dichotoma L. var. lanceolata Bge. (SDL) is the original plant of the traditional Chinese medicine Yinchaihu (Stellaria Radix). It is mainly distributed in the arid desert areas of northwest China, which is the genuine medicinal material and characteristic cultivated crop in Ningxia. This study aims to analyze the effects of different origins on SDL metabolites and quality, as well as to screen the dominant habitat factors affecting SDL in different origins. In this study, metabolites of SDL from nine different production areas were analyzed by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF MS) based metabolomics. And field investigations were conducted to record thirteen habitat-related indicators. Results showed that 1586 metabolites were identified in different origins, which were classified as thirteen categories including lipids, organic acids and organic heterocyclic compounds derivatives. Multivariate statistical analysis showed that the metabonomic spectra of SDL from different origins had various characteristics. What’s more, co-expression network correlation analysis revealed that three metabolites modules (MEturquoise, MEbrown and MEblue) were more closely with the habitat factors and 104 hub metabolites were further screened out as the habitat-induced metabolite indicators. Besides, soil texture, soil pH value and soil total salt content were found as the dominant habitat factors which affect SDL metabolites. In conclusion, the study showed different habitat factors had various effects on SDL’s quality and established relationship between them, which provide reference for revealing SDL’s genuineness formation mechanism and guiding industrial crops practical production by habitat factors selection. Frontiers Media S.A. 2022-11-25 /pmc/articles/PMC9733579/ /pubmed/36507406 http://dx.doi.org/10.3389/fpls.2022.1035712 Text en Copyright © 2022 Li, Wang, Feng, Song, Lu, Li, Li, Tian, Yang, Li, Mei and Peng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Li, Zhenkai
Wang, Hong
Feng, Lu
Song, Le
Lu, Yongping
Li, Hongying
Li, Yanqing
Tian, Gege
Yang, Yan
Li, Haishan
Mei, Xiangui
Peng, Li
Comparative metabolomics provides novel insights into correlation between dominant habitat factors and constituents of Stellaria Radix (Stellaria dichotoma L. var. lanceolata Bge.)
title Comparative metabolomics provides novel insights into correlation between dominant habitat factors and constituents of Stellaria Radix (Stellaria dichotoma L. var. lanceolata Bge.)
title_full Comparative metabolomics provides novel insights into correlation between dominant habitat factors and constituents of Stellaria Radix (Stellaria dichotoma L. var. lanceolata Bge.)
title_fullStr Comparative metabolomics provides novel insights into correlation between dominant habitat factors and constituents of Stellaria Radix (Stellaria dichotoma L. var. lanceolata Bge.)
title_full_unstemmed Comparative metabolomics provides novel insights into correlation between dominant habitat factors and constituents of Stellaria Radix (Stellaria dichotoma L. var. lanceolata Bge.)
title_short Comparative metabolomics provides novel insights into correlation between dominant habitat factors and constituents of Stellaria Radix (Stellaria dichotoma L. var. lanceolata Bge.)
title_sort comparative metabolomics provides novel insights into correlation between dominant habitat factors and constituents of stellaria radix (stellaria dichotoma l. var. lanceolata bge.)
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733579/
https://www.ncbi.nlm.nih.gov/pubmed/36507406
http://dx.doi.org/10.3389/fpls.2022.1035712
work_keys_str_mv AT lizhenkai comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge
AT wanghong comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge
AT fenglu comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge
AT songle comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge
AT luyongping comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge
AT lihongying comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge
AT liyanqing comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge
AT tiangege comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge
AT yangyan comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge
AT lihaishan comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge
AT meixiangui comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge
AT pengli comparativemetabolomicsprovidesnovelinsightsintocorrelationbetweendominanthabitatfactorsandconstituentsofstellariaradixstellariadichotomalvarlanceolatabge