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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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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 |
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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 |
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