Cargando…
Application of Principal Component Analysis (PCA) to the Evaluation and Screening of Multiactivity Fungi
Continued innovation in screening methodologies remains important for the discovery of high-quality multiactive fungi, which have been of great significance to the development of new drugs. Mangrove-derived fungi, which are well recognized as prolific sources of natural products, are worth sustained...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Science Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098371/ https://www.ncbi.nlm.nih.gov/pubmed/35582545 http://dx.doi.org/10.1007/s11802-022-5096-x |
_version_ | 1784706368026968064 |
---|---|
author | Yang, Zonglin Shi, Yaqi Li, Pinglin Pan, Kanghong Li, Guoqiang Li, Xianguo Yao, Shuo Zhang, Dahai |
author_facet | Yang, Zonglin Shi, Yaqi Li, Pinglin Pan, Kanghong Li, Guoqiang Li, Xianguo Yao, Shuo Zhang, Dahai |
author_sort | Yang, Zonglin |
collection | PubMed |
description | Continued innovation in screening methodologies remains important for the discovery of high-quality multiactive fungi, which have been of great significance to the development of new drugs. Mangrove-derived fungi, which are well recognized as prolific sources of natural products, are worth sustained attention and further study. In this study, 118 fungi, which mainly included Aspergillus spp. (34.62%) and Penicillium spp. (15.38%), were isolated from the mangrove ecosystem of the Maowei Sea, and 83.1% of the cultured fungi showed at least one bioactivity in four antibacterial and three antioxidant assays. To accurately evaluate the fungal bioactivities, the fungi with multiple bioactivities were successfully evaluated and screened by principal component analysis (PCA), and this analysis provided a dataset for comparing and selecting multibioactive fungi. Among the 118 mangrove-derived fungi tested in this study, Aspergillus spp. showed the best comprehensive activity. Fungi such as A. clavatonanicus, A. flavipes and A. citrinoterreus, which exhibited high comprehensive bioactivity as determined by the PCA, have great potential in the exploitation of natural products and the development of new drugs. This study demonstrated the first use of PCA as a time-saving, scientific method with a strong ability to evaluate and screen multiactive fungi, which indicated that this method can affect the discovery and development of new drugs. |
format | Online Article Text |
id | pubmed-9098371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Science Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90983712022-05-13 Application of Principal Component Analysis (PCA) to the Evaluation and Screening of Multiactivity Fungi Yang, Zonglin Shi, Yaqi Li, Pinglin Pan, Kanghong Li, Guoqiang Li, Xianguo Yao, Shuo Zhang, Dahai J Ocean Univ China Article Continued innovation in screening methodologies remains important for the discovery of high-quality multiactive fungi, which have been of great significance to the development of new drugs. Mangrove-derived fungi, which are well recognized as prolific sources of natural products, are worth sustained attention and further study. In this study, 118 fungi, which mainly included Aspergillus spp. (34.62%) and Penicillium spp. (15.38%), were isolated from the mangrove ecosystem of the Maowei Sea, and 83.1% of the cultured fungi showed at least one bioactivity in four antibacterial and three antioxidant assays. To accurately evaluate the fungal bioactivities, the fungi with multiple bioactivities were successfully evaluated and screened by principal component analysis (PCA), and this analysis provided a dataset for comparing and selecting multibioactive fungi. Among the 118 mangrove-derived fungi tested in this study, Aspergillus spp. showed the best comprehensive activity. Fungi such as A. clavatonanicus, A. flavipes and A. citrinoterreus, which exhibited high comprehensive bioactivity as determined by the PCA, have great potential in the exploitation of natural products and the development of new drugs. This study demonstrated the first use of PCA as a time-saving, scientific method with a strong ability to evaluate and screen multiactive fungi, which indicated that this method can affect the discovery and development of new drugs. Science Press 2022-05-13 2022 /pmc/articles/PMC9098371/ /pubmed/35582545 http://dx.doi.org/10.1007/s11802-022-5096-x Text en © Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Yang, Zonglin Shi, Yaqi Li, Pinglin Pan, Kanghong Li, Guoqiang Li, Xianguo Yao, Shuo Zhang, Dahai Application of Principal Component Analysis (PCA) to the Evaluation and Screening of Multiactivity Fungi |
title | Application of Principal Component Analysis (PCA) to the Evaluation and Screening of Multiactivity Fungi |
title_full | Application of Principal Component Analysis (PCA) to the Evaluation and Screening of Multiactivity Fungi |
title_fullStr | Application of Principal Component Analysis (PCA) to the Evaluation and Screening of Multiactivity Fungi |
title_full_unstemmed | Application of Principal Component Analysis (PCA) to the Evaluation and Screening of Multiactivity Fungi |
title_short | Application of Principal Component Analysis (PCA) to the Evaluation and Screening of Multiactivity Fungi |
title_sort | application of principal component analysis (pca) to the evaluation and screening of multiactivity fungi |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098371/ https://www.ncbi.nlm.nih.gov/pubmed/35582545 http://dx.doi.org/10.1007/s11802-022-5096-x |
work_keys_str_mv | AT yangzonglin applicationofprincipalcomponentanalysispcatotheevaluationandscreeningofmultiactivityfungi AT shiyaqi applicationofprincipalcomponentanalysispcatotheevaluationandscreeningofmultiactivityfungi AT lipinglin applicationofprincipalcomponentanalysispcatotheevaluationandscreeningofmultiactivityfungi AT pankanghong applicationofprincipalcomponentanalysispcatotheevaluationandscreeningofmultiactivityfungi AT liguoqiang applicationofprincipalcomponentanalysispcatotheevaluationandscreeningofmultiactivityfungi AT lixianguo applicationofprincipalcomponentanalysispcatotheevaluationandscreeningofmultiactivityfungi AT yaoshuo applicationofprincipalcomponentanalysispcatotheevaluationandscreeningofmultiactivityfungi AT zhangdahai applicationofprincipalcomponentanalysispcatotheevaluationandscreeningofmultiactivityfungi |