The anti-infective potential of the endophytic fungi associated with Allium cepa supported by metabolomics analysis and docking studies

Hassan, Hind Ashraf and Abdelhafez, Omnia Hesham and Shady, Nourhan Hisham and Yahia, Ramadan and Mohamed, Nada M. and Rateb, Mostafa E. and Akil, Lina and Khadra, Ibrahim and Glaeser, Stefanie P. and Kämpfer, Peter and Abdelmohsen, Usama Ramadan and El-Katatny, Mo'men Hamed (2023) The anti-infective potential of the endophytic fungi associated with Allium cepa supported by metabolomics analysis and docking studies. Natural Product Research, 37 (23). pp. 4063-4068. ISSN 1478-6427 (https://doi.org/10.1080/14786419.2023.2167204)

[thumbnail of Hassan-etal-NPR-2023-The-anti-infective-potential-of-the-endophytic-fungi-associated-with-Allium-cepa]
Preview
 Text. Filename: Hassan_etal_NPR_2023_The_anti_infective_potential_of_the_endophytic_fungi_associated_with_Allium_cepa.pdf
Accepted Author Manuscript
License: Creative Commons Attribution-NonCommercial 4.0 logo
Download (1MB)| Preview

Abstract

Endophytic fungi are known to be a rich source of anti-infective drugs. In our study, Allium cepa was investigated for fungal diversity using different media to give 11 isolates which were identified morphologically. Out of the isolated fungal strains, Penicillium sp. (LCEF10) revealed potential anti-infective activity against the tested microbes (Fusarium solaniATTC 25922, Pseudomonas aeruginosa(ATTC 29231), Staphylococcus aureusATTC 27853, Candida albicansATTC 10231), besides, their MICs were measured by well diffusion method, therefore, it was subjected to molecular identification in addition to phylogenetic analysis. Moreover, the ITS sequence of strain LCEF10 showed a consistent assignment with the highest sequence similarity (99.81%) to Penicillium oxalicum NRRL 787. The crude ethyl acetate extract of Penicillium sp. LCEF10 was investigated for metabolomic analysis using LC-HR-ESI-MS. The metabolic profiling revealed the presence of polyketides, macrolides, phenolics and terpenoids. Furthermore, in silico molecular docking study was carried out to predict which compounds most likely responsible for the anti-infective activity.

CORE (COnnecting REpositories)