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Biological composition analysis of a natural medicine, Faeces Vespertilionis, with complex sources using DNA metabarcoding
Faeces Vespertilionis is a commonly used fecal traditional Chinese medicine. Traditionally, it is identified relying only on morphological characters. This poses a serious challenge to the composition analysis accuracy of this complex biological mixture. Thus, for quality control purposes, an accura...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748881/ https://www.ncbi.nlm.nih.gov/pubmed/35013500 http://dx.doi.org/10.1038/s41598-021-04387-1 |
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author | Zhang, Xiaoying Wang, Wenxiu Yu, Xiaolei Liu, Yuxia Li, Wenhui Yang, Hongxia Cui, Ying Tian, Xiaoxuan |
author_facet | Zhang, Xiaoying Wang, Wenxiu Yu, Xiaolei Liu, Yuxia Li, Wenhui Yang, Hongxia Cui, Ying Tian, Xiaoxuan |
author_sort | Zhang, Xiaoying |
collection | PubMed |
description | Faeces Vespertilionis is a commonly used fecal traditional Chinese medicine. Traditionally, it is identified relying only on morphological characters. This poses a serious challenge to the composition analysis accuracy of this complex biological mixture. Thus, for quality control purposes, an accurate and effective method should be provided for taxonomic identification of Faeces Vespertilionis. In this study, 26 samples of Faeces Vespertilionis from ten provinces in China were tested using DNA metabarcoding. Seven operational taxonomic units (OTUs) were detected as belonging to bats. Among them, Hipposideros armiger (Hodgson, 1835) and Rhinolophus ferrumequinum (Schober and Grimmberger, 1997) were the main host sources of Faeces Vespertilionis samples, with average relative abundances of 59.3% and 24.1%, respectively. Biodiversity analysis showed that Diptera and Lepidoptera were the most frequently consumed insects. At the species level, 19 taxa were clearly identified. Overall, our study used DNA metabarcoding to analyze the biological composition of Faeces Vespertilionis, which provides a new idea for the quality control of this special traditional Chinese medicine. |
format | Online Article Text |
id | pubmed-8748881 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87488812022-01-11 Biological composition analysis of a natural medicine, Faeces Vespertilionis, with complex sources using DNA metabarcoding Zhang, Xiaoying Wang, Wenxiu Yu, Xiaolei Liu, Yuxia Li, Wenhui Yang, Hongxia Cui, Ying Tian, Xiaoxuan Sci Rep Article Faeces Vespertilionis is a commonly used fecal traditional Chinese medicine. Traditionally, it is identified relying only on morphological characters. This poses a serious challenge to the composition analysis accuracy of this complex biological mixture. Thus, for quality control purposes, an accurate and effective method should be provided for taxonomic identification of Faeces Vespertilionis. In this study, 26 samples of Faeces Vespertilionis from ten provinces in China were tested using DNA metabarcoding. Seven operational taxonomic units (OTUs) were detected as belonging to bats. Among them, Hipposideros armiger (Hodgson, 1835) and Rhinolophus ferrumequinum (Schober and Grimmberger, 1997) were the main host sources of Faeces Vespertilionis samples, with average relative abundances of 59.3% and 24.1%, respectively. Biodiversity analysis showed that Diptera and Lepidoptera were the most frequently consumed insects. At the species level, 19 taxa were clearly identified. Overall, our study used DNA metabarcoding to analyze the biological composition of Faeces Vespertilionis, which provides a new idea for the quality control of this special traditional Chinese medicine. Nature Publishing Group UK 2022-01-10 /pmc/articles/PMC8748881/ /pubmed/35013500 http://dx.doi.org/10.1038/s41598-021-04387-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Xiaoying Wang, Wenxiu Yu, Xiaolei Liu, Yuxia Li, Wenhui Yang, Hongxia Cui, Ying Tian, Xiaoxuan Biological composition analysis of a natural medicine, Faeces Vespertilionis, with complex sources using DNA metabarcoding |
title | Biological composition analysis of a natural medicine, Faeces Vespertilionis, with complex sources using DNA metabarcoding |
title_full | Biological composition analysis of a natural medicine, Faeces Vespertilionis, with complex sources using DNA metabarcoding |
title_fullStr | Biological composition analysis of a natural medicine, Faeces Vespertilionis, with complex sources using DNA metabarcoding |
title_full_unstemmed | Biological composition analysis of a natural medicine, Faeces Vespertilionis, with complex sources using DNA metabarcoding |
title_short | Biological composition analysis of a natural medicine, Faeces Vespertilionis, with complex sources using DNA metabarcoding |
title_sort | biological composition analysis of a natural medicine, faeces vespertilionis, with complex sources using dna metabarcoding |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748881/ https://www.ncbi.nlm.nih.gov/pubmed/35013500 http://dx.doi.org/10.1038/s41598-021-04387-1 |
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