Cargando…
Untargeted Metabolomics and Targeted Quantitative Analysis of Temporal and Spatial Variations in Specialized Metabolites Accumulation in Poria cocos (Schw.) Wolf (Fushen)
Poria cocos (Schw.) Wolf is a saprophytic fungus that grows around the roots of old, dead pine trees. Fushen, derived from the sclerotium of P. cocos but also containing a young host pine root, has been widely used as a medicine and food in China, Japan, Korea, Southeast Asian countries, and some Eu...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490877/ https://www.ncbi.nlm.nih.gov/pubmed/34621284 http://dx.doi.org/10.3389/fpls.2021.713490 |
_version_ | 1784578617805635584 |
---|---|
author | Yang, Mei Zhao, Yujiao Qin, Yuejian Xu, Rui Yang, Zhengyang Peng, Huasheng |
author_facet | Yang, Mei Zhao, Yujiao Qin, Yuejian Xu, Rui Yang, Zhengyang Peng, Huasheng |
author_sort | Yang, Mei |
collection | PubMed |
description | Poria cocos (Schw.) Wolf is a saprophytic fungus that grows around the roots of old, dead pine trees. Fushen, derived from the sclerotium of P. cocos but also containing a young host pine root, has been widely used as a medicine and food in China, Japan, Korea, Southeast Asian countries, and some European countries. However, the compound variations at the different growth periods and in the different parts of Fushen have not previously been investigated. In this study, an untargeted metabolomics approach based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF-MS) and targeted quantitative analysis was utilized to characterize the temporal and spatial variations in the accumulation of specialized metabolites in Fushen. There were 119 specialized metabolites tentatively identified using the UPLC-Q/TOF-MS. The nine growth periods of Fushen were divided into four groups using partial least squares discrimination analysis (PLS-DA). Four different parts of the Fushen [fulingpi (FP), the outside of baifuling (BO), the inside of baifuling (BI), and fushenmu (FM)] were clearly discriminated using a PLS-DA and orthogonal partial least squares discrimination analysis (OPLS-DA). Markers for the different growth periods and parts of Fushen were also screened. In addition, the quantitative method was successfully applied to simultaneously determine 13 major triterpenoid acids in the nine growth periods and four parts. The quantitative results indicated that the samples in January, March, and April, i.e., the late growth period, had the highest content levels for the 13 triterpenoid acids. The pachymic acid, dehydropachymic acid, and dehydrotumulosic acid contents in the FM were higher than those in other three parts in March, whereas the poricoic acid B, poricoic acid A, polyporenic acid C, dehydrotratrametenolic acid, dehydroeburicoic acid, and eburicoic acid in FP were higher beginning in October. These findings reveal characteristics in temporal and spatial distribution of specialized metabolites in Fushen and provide guidance for the identification of harvesting times and for further quality evaluations. |
format | Online Article Text |
id | pubmed-8490877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84908772021-10-06 Untargeted Metabolomics and Targeted Quantitative Analysis of Temporal and Spatial Variations in Specialized Metabolites Accumulation in Poria cocos (Schw.) Wolf (Fushen) Yang, Mei Zhao, Yujiao Qin, Yuejian Xu, Rui Yang, Zhengyang Peng, Huasheng Front Plant Sci Plant Science Poria cocos (Schw.) Wolf is a saprophytic fungus that grows around the roots of old, dead pine trees. Fushen, derived from the sclerotium of P. cocos but also containing a young host pine root, has been widely used as a medicine and food in China, Japan, Korea, Southeast Asian countries, and some European countries. However, the compound variations at the different growth periods and in the different parts of Fushen have not previously been investigated. In this study, an untargeted metabolomics approach based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF-MS) and targeted quantitative analysis was utilized to characterize the temporal and spatial variations in the accumulation of specialized metabolites in Fushen. There were 119 specialized metabolites tentatively identified using the UPLC-Q/TOF-MS. The nine growth periods of Fushen were divided into four groups using partial least squares discrimination analysis (PLS-DA). Four different parts of the Fushen [fulingpi (FP), the outside of baifuling (BO), the inside of baifuling (BI), and fushenmu (FM)] were clearly discriminated using a PLS-DA and orthogonal partial least squares discrimination analysis (OPLS-DA). Markers for the different growth periods and parts of Fushen were also screened. In addition, the quantitative method was successfully applied to simultaneously determine 13 major triterpenoid acids in the nine growth periods and four parts. The quantitative results indicated that the samples in January, March, and April, i.e., the late growth period, had the highest content levels for the 13 triterpenoid acids. The pachymic acid, dehydropachymic acid, and dehydrotumulosic acid contents in the FM were higher than those in other three parts in March, whereas the poricoic acid B, poricoic acid A, polyporenic acid C, dehydrotratrametenolic acid, dehydroeburicoic acid, and eburicoic acid in FP were higher beginning in October. These findings reveal characteristics in temporal and spatial distribution of specialized metabolites in Fushen and provide guidance for the identification of harvesting times and for further quality evaluations. Frontiers Media S.A. 2021-09-21 /pmc/articles/PMC8490877/ /pubmed/34621284 http://dx.doi.org/10.3389/fpls.2021.713490 Text en Copyright © 2021 Yang, Zhao, Qin, Xu, Yang 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 Yang, Mei Zhao, Yujiao Qin, Yuejian Xu, Rui Yang, Zhengyang Peng, Huasheng Untargeted Metabolomics and Targeted Quantitative Analysis of Temporal and Spatial Variations in Specialized Metabolites Accumulation in Poria cocos (Schw.) Wolf (Fushen) |
title | Untargeted Metabolomics and Targeted Quantitative Analysis of Temporal and Spatial Variations in Specialized Metabolites Accumulation in Poria cocos (Schw.) Wolf (Fushen) |
title_full | Untargeted Metabolomics and Targeted Quantitative Analysis of Temporal and Spatial Variations in Specialized Metabolites Accumulation in Poria cocos (Schw.) Wolf (Fushen) |
title_fullStr | Untargeted Metabolomics and Targeted Quantitative Analysis of Temporal and Spatial Variations in Specialized Metabolites Accumulation in Poria cocos (Schw.) Wolf (Fushen) |
title_full_unstemmed | Untargeted Metabolomics and Targeted Quantitative Analysis of Temporal and Spatial Variations in Specialized Metabolites Accumulation in Poria cocos (Schw.) Wolf (Fushen) |
title_short | Untargeted Metabolomics and Targeted Quantitative Analysis of Temporal and Spatial Variations in Specialized Metabolites Accumulation in Poria cocos (Schw.) Wolf (Fushen) |
title_sort | untargeted metabolomics and targeted quantitative analysis of temporal and spatial variations in specialized metabolites accumulation in poria cocos (schw.) wolf (fushen) |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490877/ https://www.ncbi.nlm.nih.gov/pubmed/34621284 http://dx.doi.org/10.3389/fpls.2021.713490 |
work_keys_str_mv | AT yangmei untargetedmetabolomicsandtargetedquantitativeanalysisoftemporalandspatialvariationsinspecializedmetabolitesaccumulationinporiacocosschwwolffushen AT zhaoyujiao untargetedmetabolomicsandtargetedquantitativeanalysisoftemporalandspatialvariationsinspecializedmetabolitesaccumulationinporiacocosschwwolffushen AT qinyuejian untargetedmetabolomicsandtargetedquantitativeanalysisoftemporalandspatialvariationsinspecializedmetabolitesaccumulationinporiacocosschwwolffushen AT xurui untargetedmetabolomicsandtargetedquantitativeanalysisoftemporalandspatialvariationsinspecializedmetabolitesaccumulationinporiacocosschwwolffushen AT yangzhengyang untargetedmetabolomicsandtargetedquantitativeanalysisoftemporalandspatialvariationsinspecializedmetabolitesaccumulationinporiacocosschwwolffushen AT penghuasheng untargetedmetabolomicsandtargetedquantitativeanalysisoftemporalandspatialvariationsinspecializedmetabolitesaccumulationinporiacocosschwwolffushen |