AI Article Synopsis

  • This study focuses on the importance of innovating screening methods to discover high-quality multiactive fungi that can lead to new drug developments.
  • Researchers isolated 118 fungi from the mangrove ecosystem of the Maowei Sea, finding that 83.1% exhibited bioactivity in various antibacterial and antioxidant tests.
  • Principal component analysis (PCA) was used to effectively evaluate and identify fungi with multiple bioactivities, highlighting certain species that show strong potential for natural product exploitation and drug development.

Article Abstract

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 spp. (34.62%) and 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, spp. showed the best comprehensive activity. Fungi such as and , 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098371PMC
http://dx.doi.org/10.1007/s11802-022-5096-xDOI Listing

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