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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2022.1035712/full |
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| author | Zhenkai Li Hong Wang Lu Feng Le Song Yongping Lu Hongying Li Yanqing Li Gege Tian Yan Yang Haishan Li Xiangui Mei Li Peng |
| author_facet | Zhenkai Li Hong Wang Lu Feng Le Song Yongping Lu Hongying Li Yanqing Li Gege Tian Yan Yang Haishan Li Xiangui Mei Li Peng |
| author_sort | Zhenkai Li |
| collection | DOAJ |
| 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. |
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| format | Article |
| id | doaj.art-39df8896b1834931a9057ab6968b917d |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-04-13T08:06:40Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-39df8896b1834931a9057ab6968b917d2022-12-22T02:55:08ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2022-11-011310.3389/fpls.2022.10357121035712Comparative metabolomics provides novel insights into correlation between dominant habitat factors and constituents of Stellaria Radix (Stellaria dichotoma L. var. lanceolata Bge.)Zhenkai Li0Hong Wang1Lu Feng2Le Song3Yongping Lu4Hongying Li5Yanqing Li6Gege Tian7Yan Yang8Haishan Li9Xiangui Mei10Li Peng11School of Life Sciences, Ningxia University, Yinchuan, ChinaSchool of Life Sciences, Ningxia University, Yinchuan, ChinaSchool of Life Sciences, Ningxia University, Yinchuan, ChinaSchool of Life Sciences, Ningxia University, Yinchuan, ChinaState Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Taian, Shandong, ChinaNingxia Institute of Meteorological Sciences, Yinchuan, ChinaSchool of Life Sciences, Ningxia University, Yinchuan, ChinaSchool of Life Sciences, Ningxia University, Yinchuan, ChinaSchool of Life Sciences, Ningxia University, Yinchuan, ChinaSchool of Life Sciences, Ningxia University, Yinchuan, ChinaState Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Taian, Shandong, ChinaSchool of Life Sciences, Ningxia University, Yinchuan, ChinaStellaria 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.https://www.frontiersin.org/articles/10.3389/fpls.2022.1035712/fullStellaria dichotoma L. var. lanceolata Bge.MetabolomicsOriginHabitat factorsGenuinenessCo-expression network analysis |
| spellingShingle | Zhenkai Li Hong Wang Lu Feng Le Song Yongping Lu Hongying Li Yanqing Li Gege Tian Yan Yang Haishan Li Xiangui Mei Li Peng Comparative metabolomics provides novel insights into correlation between dominant habitat factors and constituents of Stellaria Radix (Stellaria dichotoma L. var. lanceolata Bge.) Frontiers in Plant Science Stellaria dichotoma L. var. lanceolata Bge. Metabolomics Origin Habitat factors Genuineness Co-expression network analysis |
| 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 | Stellaria dichotoma L. var. lanceolata Bge. Metabolomics Origin Habitat factors Genuineness Co-expression network analysis |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2022.1035712/full |
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