{"title":"DNA 代谢编码揭示根茎真菌群落","authors":"Chune Fan, Yanan Xu, Yufeng Li, Meihua Yang, Jianping Han, Xiaohui Pang","doi":"10.1016/j.chmed.2023.12.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div><em>Zingiberis Rhizoma</em> (ZR, Ganjiang in Chinese), also known as dried ginger, is a popular spice and medicinal herb that has been used for several thousand years. However, ZR is easily contaminated by fungi and mycotoxin under suitable conditions, and might be hazardous to the health and safety of consumers, thus concerns about the herb’s safety have been raised. The aim of this study was to investigate the fungal community and the effects of collection areas and processing methods on the fungal community in ZR.</div></div><div><h3>Methods</h3><div>A total of 18 ZR samples were collected from four provinces of China, and the samples were divided into four groups based on collecting sites. Meanwhile, the samples collected in Sichuan Province, China were divided into three groups based on the processing methods. We employed the Illumina MiSeq PE300 platform and targeted the internal transcribed spacer 2 (ITS2) sequences to investigate fungal contamination in ZR samples, and the difference in fungal community among the groups of different collection sites and processing methods.</div></div><div><h3>Results</h3><div>All 18 samples were contaminated with fungi. Ascomycota was the dominant phyla, accounting for 34.46%−100% of the fungal reads. At the genus level, <em>Candida</em>, <em>Diutina</em>, and <em>Aspergillus</em> were the most dominant genera, with relative abundances of 0–98.37%, 0–99.82%, and 0–79.08%, respectively. Meanwhile, four potential toxigenic fungi and seven human pathogens were found. Furthermore, differences in the community composition of ZR samples from four collecting sites and three processing methods were observed.</div></div><div><h3>Conclusion</h3><div>DNA metabarcoding provides a novel insight into fungal community diversity in ZR samples, providing references to ensure the sustainable utilization and quality research of ZR.</div></div>","PeriodicalId":9916,"journal":{"name":"Chinese Herbal Medicines","volume":"16 4","pages":"Pages 679-685"},"PeriodicalIF":4.7000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DNA metabarcoding uncovers fungal communities in Zingiberis Rhizoma\",\"authors\":\"Chune Fan, Yanan Xu, Yufeng Li, Meihua Yang, Jianping Han, Xiaohui Pang\",\"doi\":\"10.1016/j.chmed.2023.12.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div><em>Zingiberis Rhizoma</em> (ZR, Ganjiang in Chinese), also known as dried ginger, is a popular spice and medicinal herb that has been used for several thousand years. However, ZR is easily contaminated by fungi and mycotoxin under suitable conditions, and might be hazardous to the health and safety of consumers, thus concerns about the herb’s safety have been raised. The aim of this study was to investigate the fungal community and the effects of collection areas and processing methods on the fungal community in ZR.</div></div><div><h3>Methods</h3><div>A total of 18 ZR samples were collected from four provinces of China, and the samples were divided into four groups based on collecting sites. Meanwhile, the samples collected in Sichuan Province, China were divided into three groups based on the processing methods. We employed the Illumina MiSeq PE300 platform and targeted the internal transcribed spacer 2 (ITS2) sequences to investigate fungal contamination in ZR samples, and the difference in fungal community among the groups of different collection sites and processing methods.</div></div><div><h3>Results</h3><div>All 18 samples were contaminated with fungi. Ascomycota was the dominant phyla, accounting for 34.46%−100% of the fungal reads. At the genus level, <em>Candida</em>, <em>Diutina</em>, and <em>Aspergillus</em> were the most dominant genera, with relative abundances of 0–98.37%, 0–99.82%, and 0–79.08%, respectively. Meanwhile, four potential toxigenic fungi and seven human pathogens were found. Furthermore, differences in the community composition of ZR samples from four collecting sites and three processing methods were observed.</div></div><div><h3>Conclusion</h3><div>DNA metabarcoding provides a novel insight into fungal community diversity in ZR samples, providing references to ensure the sustainable utilization and quality research of ZR.</div></div>\",\"PeriodicalId\":9916,\"journal\":{\"name\":\"Chinese Herbal Medicines\",\"volume\":\"16 4\",\"pages\":\"Pages 679-685\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chinese Herbal Medicines\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1674638424000066\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MEDICINAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Herbal Medicines","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1674638424000066","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
DNA metabarcoding uncovers fungal communities in Zingiberis Rhizoma
Objective
Zingiberis Rhizoma (ZR, Ganjiang in Chinese), also known as dried ginger, is a popular spice and medicinal herb that has been used for several thousand years. However, ZR is easily contaminated by fungi and mycotoxin under suitable conditions, and might be hazardous to the health and safety of consumers, thus concerns about the herb’s safety have been raised. The aim of this study was to investigate the fungal community and the effects of collection areas and processing methods on the fungal community in ZR.
Methods
A total of 18 ZR samples were collected from four provinces of China, and the samples were divided into four groups based on collecting sites. Meanwhile, the samples collected in Sichuan Province, China were divided into three groups based on the processing methods. We employed the Illumina MiSeq PE300 platform and targeted the internal transcribed spacer 2 (ITS2) sequences to investigate fungal contamination in ZR samples, and the difference in fungal community among the groups of different collection sites and processing methods.
Results
All 18 samples were contaminated with fungi. Ascomycota was the dominant phyla, accounting for 34.46%−100% of the fungal reads. At the genus level, Candida, Diutina, and Aspergillus were the most dominant genera, with relative abundances of 0–98.37%, 0–99.82%, and 0–79.08%, respectively. Meanwhile, four potential toxigenic fungi and seven human pathogens were found. Furthermore, differences in the community composition of ZR samples from four collecting sites and three processing methods were observed.
Conclusion
DNA metabarcoding provides a novel insight into fungal community diversity in ZR samples, providing references to ensure the sustainable utilization and quality research of ZR.
期刊介绍:
Chinese Herbal Medicines is intended to disseminate the latest developments and research progress in traditional and herbal medical sciences to researchers, practitioners, academics and administrators worldwide in the field of traditional and herbal medicines. The journal's international coverage ensures that research and progress from all regions of the world are widely included.
CHM is a core journal of Chinese science and technology. The journal entered into the ESCI database in 2017, and then was included in PMC, Scopus and other important international search systems. In 2019, CHM was successfully selected for the “China Science and Technology Journal Excellence Action Plan” project, which has markedly improved its international influence and industry popularity. CHM obtained the first impact factor of 3.8 in Journal Citation Reports (JCR) in 2023.