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Estimating included animal species in mixed crude drugs derived from animals using massively parallel sequencing
We developed a method that can detect each animal species of origin for crude drugs derived from multiple animal species based on massively parallel sequencing analysis of mitochondrial genes. The crude drugs derived from animals investigated in this study were Cervi Parvum Cornu and Trogopterorum f...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973747/ https://www.ncbi.nlm.nih.gov/pubmed/33739020 http://dx.doi.org/10.1038/s41598-021-85803-4 |
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author | Nakanishi, Hiroaki Yoneyama, Katsumi Hara, Masaaki Takada, Aya Saito, Kazuyuki |
author_facet | Nakanishi, Hiroaki Yoneyama, Katsumi Hara, Masaaki Takada, Aya Saito, Kazuyuki |
author_sort | Nakanishi, Hiroaki |
collection | PubMed |
description | We developed a method that can detect each animal species of origin for crude drugs derived from multiple animal species based on massively parallel sequencing analysis of mitochondrial genes. The crude drugs derived from animals investigated in this study were Cervi Parvum Cornu and Trogopterorum feces, which are derived from a mix of different animal species, two chopped cicada sloughs, and two commercial Kampo drugs. The mitochondrial 12S rRNA, 16S rRNA, and cytochrome oxidase subunit I gene regions were amplified and sequenced using MiSeq. The ratios of haplotype to total number of sequences reads were calculated after sequence extraction and trimming. Haplotypes that exceeded the threshold were defined as positive haplotypes, which were compared with all available sequences using BLAST. In the Cervi Parvum Cornu and Trogopterorum feces samples, the haplotype ratios corresponded roughly to the mixture ratios, although there was a slight difference from mixture ratios depending on the gene examined. This method could also roughly estimate the compositions of chopped cicada sloughs and Kampo drugs. This analysis, whereby the sequences of several genes are elucidated, is better for identifying the included animal species. This method should be useful for quality control of crude drugs and Kampo drugs. |
format | Online Article Text |
id | pubmed-7973747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79737472021-03-19 Estimating included animal species in mixed crude drugs derived from animals using massively parallel sequencing Nakanishi, Hiroaki Yoneyama, Katsumi Hara, Masaaki Takada, Aya Saito, Kazuyuki Sci Rep Article We developed a method that can detect each animal species of origin for crude drugs derived from multiple animal species based on massively parallel sequencing analysis of mitochondrial genes. The crude drugs derived from animals investigated in this study were Cervi Parvum Cornu and Trogopterorum feces, which are derived from a mix of different animal species, two chopped cicada sloughs, and two commercial Kampo drugs. The mitochondrial 12S rRNA, 16S rRNA, and cytochrome oxidase subunit I gene regions were amplified and sequenced using MiSeq. The ratios of haplotype to total number of sequences reads were calculated after sequence extraction and trimming. Haplotypes that exceeded the threshold were defined as positive haplotypes, which were compared with all available sequences using BLAST. In the Cervi Parvum Cornu and Trogopterorum feces samples, the haplotype ratios corresponded roughly to the mixture ratios, although there was a slight difference from mixture ratios depending on the gene examined. This method could also roughly estimate the compositions of chopped cicada sloughs and Kampo drugs. This analysis, whereby the sequences of several genes are elucidated, is better for identifying the included animal species. This method should be useful for quality control of crude drugs and Kampo drugs. Nature Publishing Group UK 2021-03-18 /pmc/articles/PMC7973747/ /pubmed/33739020 http://dx.doi.org/10.1038/s41598-021-85803-4 Text en © The Author(s) 2021 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/. |
spellingShingle | Article Nakanishi, Hiroaki Yoneyama, Katsumi Hara, Masaaki Takada, Aya Saito, Kazuyuki Estimating included animal species in mixed crude drugs derived from animals using massively parallel sequencing |
title | Estimating included animal species in mixed crude drugs derived from animals using massively parallel sequencing |
title_full | Estimating included animal species in mixed crude drugs derived from animals using massively parallel sequencing |
title_fullStr | Estimating included animal species in mixed crude drugs derived from animals using massively parallel sequencing |
title_full_unstemmed | Estimating included animal species in mixed crude drugs derived from animals using massively parallel sequencing |
title_short | Estimating included animal species in mixed crude drugs derived from animals using massively parallel sequencing |
title_sort | estimating included animal species in mixed crude drugs derived from animals using massively parallel sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973747/ https://www.ncbi.nlm.nih.gov/pubmed/33739020 http://dx.doi.org/10.1038/s41598-021-85803-4 |
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