Identification of Salvia miltiorrhiza germplasm resources based on metabolomics and DNA barcoding

IntroductionSalvia miltiorrhiza radix et rhizoma (Danshen) is a crucial medicinal material for treating cardiovascular and cerebrovascular diseases. However, the presence of adulterants and intraspecific variability poses challenges to its clinical safety.MethodsThis study collected samples of S. mi...

Full description

Saved in:
Bibliographic Details
Main Authors: Gaojie He, Jinhui Man, Ying Chen, Xiaoqin Zhang, Xin Wang, Kelu An, Laha Amu, Wenqin Chen, Baowei Wang, Yue Shi, Xiaohui Wang, Shengli Wei
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Pharmacology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2024.1518906/full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841556730521059328
author Gaojie He
Jinhui Man
Ying Chen
Xiaoqin Zhang
Xin Wang
Kelu An
Laha Amu
Wenqin Chen
Baowei Wang
Yue Shi
Yue Shi
Xiaohui Wang
Xiaohui Wang
Shengli Wei
Shengli Wei
author_facet Gaojie He
Jinhui Man
Ying Chen
Xiaoqin Zhang
Xin Wang
Kelu An
Laha Amu
Wenqin Chen
Baowei Wang
Yue Shi
Yue Shi
Xiaohui Wang
Xiaohui Wang
Shengli Wei
Shengli Wei
author_sort Gaojie He
collection DOAJ
description IntroductionSalvia miltiorrhiza radix et rhizoma (Danshen) is a crucial medicinal material for treating cardiovascular and cerebrovascular diseases. However, the presence of adulterants and intraspecific variability poses challenges to its clinical safety.MethodsThis study collected samples of S. miltiorrhiza from various regions and commonly encountered adulterants. The composition differences of S. miltiorrhiza radix and its adulterants were analyzed by fingerprint and broad-target metabolomics. Chloroplast genome was used to distinguish intra-genus species and DNA barcoding was used to identify germplasm sources.ResultsThe fingerprinting analysis proved that there is no chemical composition consistency between S. miltiorrhiza radix and its adulterants. Broad-targeted metabolomics can distinguish S. miltiorrhiza radix from Salvia yunnanensis radix, Dipsacus asperoides radix, and Arctium lappa radix. Additionally, comparative chloroplast genome analysis indicated that atpF and rps4-trnT-UGU were the potential DNA barcodes for S. miltiorrhiza. 259 samples from 13 provinces and 21 origins were amplified and sequenced, resulting in the identification of 62 haplotypes. The unique haplotypes found in Shanxi Luoyang, Shandong Qingdao and other places can be used as molecular geographic markers for the identification of the germplasm source of S. miltiorrhiza.DiscussionThis study systematically differentiates S. miltiorrhiza from its adulterants and highlights the potential of unique haplotypes as markers for sourcing. The findings provide strong scientific evidence for the clinical safety of S. miltiorrhiza, emphasizing the importance of proper cultivation, selection, and breeding of varieties.
format Article
id doaj-art-88cbeb17000f4f9da1e2a9b079bc2496
institution Kabale University
issn 1663-9812
language English
publishDate 2025-01-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Pharmacology
spelling doaj-art-88cbeb17000f4f9da1e2a9b079bc24962025-01-07T06:40:41ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122025-01-011510.3389/fphar.2024.15189061518906Identification of Salvia miltiorrhiza germplasm resources based on metabolomics and DNA barcodingGaojie He0Jinhui Man1Ying Chen2Xiaoqin Zhang3Xin Wang4Kelu An5Laha Amu6Wenqin Chen7Baowei Wang8Yue Shi9Yue Shi10Xiaohui Wang11Xiaohui Wang12Shengli Wei13Shengli Wei14School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, ChinaEngineering Research Center of Good Agricultural Practice for Chinese Crude Drugs, Ministry of Education, Beijing, ChinaSchool of Biology and Medicine, Beijing City University, Beijing, ChinaEngineering Research Center of Good Agricultural Practice for Chinese Crude Drugs, Ministry of Education, Beijing, ChinaModern Research Center for Traditional Chinese Medicine, Beijing Institute of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, ChinaEngineering Research Center of Good Agricultural Practice for Chinese Crude Drugs, Ministry of Education, Beijing, ChinaIntroductionSalvia miltiorrhiza radix et rhizoma (Danshen) is a crucial medicinal material for treating cardiovascular and cerebrovascular diseases. However, the presence of adulterants and intraspecific variability poses challenges to its clinical safety.MethodsThis study collected samples of S. miltiorrhiza from various regions and commonly encountered adulterants. The composition differences of S. miltiorrhiza radix and its adulterants were analyzed by fingerprint and broad-target metabolomics. Chloroplast genome was used to distinguish intra-genus species and DNA barcoding was used to identify germplasm sources.ResultsThe fingerprinting analysis proved that there is no chemical composition consistency between S. miltiorrhiza radix and its adulterants. Broad-targeted metabolomics can distinguish S. miltiorrhiza radix from Salvia yunnanensis radix, Dipsacus asperoides radix, and Arctium lappa radix. Additionally, comparative chloroplast genome analysis indicated that atpF and rps4-trnT-UGU were the potential DNA barcodes for S. miltiorrhiza. 259 samples from 13 provinces and 21 origins were amplified and sequenced, resulting in the identification of 62 haplotypes. The unique haplotypes found in Shanxi Luoyang, Shandong Qingdao and other places can be used as molecular geographic markers for the identification of the germplasm source of S. miltiorrhiza.DiscussionThis study systematically differentiates S. miltiorrhiza from its adulterants and highlights the potential of unique haplotypes as markers for sourcing. The findings provide strong scientific evidence for the clinical safety of S. miltiorrhiza, emphasizing the importance of proper cultivation, selection, and breeding of varieties.https://www.frontiersin.org/articles/10.3389/fphar.2024.1518906/fullSalvia miltiorrhizatargeted metabolomicschloroplast genomeDNA barcodinggermplasm resource identification
spellingShingle Gaojie He
Jinhui Man
Ying Chen
Xiaoqin Zhang
Xin Wang
Kelu An
Laha Amu
Wenqin Chen
Baowei Wang
Yue Shi
Yue Shi
Xiaohui Wang
Xiaohui Wang
Shengli Wei
Shengli Wei
Identification of Salvia miltiorrhiza germplasm resources based on metabolomics and DNA barcoding
Frontiers in Pharmacology
Salvia miltiorrhiza
targeted metabolomics
chloroplast genome
DNA barcoding
germplasm resource identification
title Identification of Salvia miltiorrhiza germplasm resources based on metabolomics and DNA barcoding
title_full Identification of Salvia miltiorrhiza germplasm resources based on metabolomics and DNA barcoding
title_fullStr Identification of Salvia miltiorrhiza germplasm resources based on metabolomics and DNA barcoding
title_full_unstemmed Identification of Salvia miltiorrhiza germplasm resources based on metabolomics and DNA barcoding
title_short Identification of Salvia miltiorrhiza germplasm resources based on metabolomics and DNA barcoding
title_sort identification of salvia miltiorrhiza germplasm resources based on metabolomics and dna barcoding
topic Salvia miltiorrhiza
targeted metabolomics
chloroplast genome
DNA barcoding
germplasm resource identification
url https://www.frontiersin.org/articles/10.3389/fphar.2024.1518906/full
work_keys_str_mv AT gaojiehe identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT jinhuiman identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT yingchen identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT xiaoqinzhang identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT xinwang identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT keluan identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT lahaamu identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT wenqinchen identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT baoweiwang identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT yueshi identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT yueshi identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT xiaohuiwang identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT xiaohuiwang identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT shengliwei identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding
AT shengliwei identificationofsalviamiltiorrhizagermplasmresourcesbasedonmetabolomicsanddnabarcoding