Genome Mining and Molecular Networking-Based Metabolomics of the Marine Facultative Aspergillus sp. MEXU 27854

Molecules

Huzefa A. Raja¹  Carlos A. Fajardo-Hernández²  Mario Figueroa²  Anahí Martínez-Cárdenas²  Felipe Cruz-García²  Yuridia Cruz-Zamora²  Rodrigo Villanueva-Silva² 

[1] Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC 27402, USA;Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico;

关键词: marine-facultative fungi;    genome mining;    biosynthetic gene clusters;    metabolomics;    molecular networking;   

DOI  :  10.3390/molecules26175362

来源: DOAJ

【 摘 要 】

The marine-facultative Aspergillus sp. MEXU 27854, isolated from the Caleta Bay in Acapulco, Guerrero, Mexico, has provided an interesting diversity of secondary metabolites, including a series of rare dioxomorpholines, peptides, and butyrolactones. Here, we report on the genomic data, which consists of 11 contigs (N50~3.95 Mb) with a ~30.75 Mb total length of assembly. Genome annotation resulted in the prediction of 10,822 putative genes. Functional annotation was accomplished by BLAST searching protein sequences with different public databases. Of the predicted genes, 75% were assigned gene ontology terms. From the 67 BGCs identified, ~60% belong to the NRPS and NRPS-like classes. Putative BGCs for the dioxomorpholines and other metabolites were predicted by extensive genome mining. In addition, metabolomic molecular networking analysis allowed the annotation of all isolated compounds and revealed the biosynthetic potential of this fungus. This work represents the first report of whole-genome sequencing and annotation from a marine-facultative fungal strain isolated from Mexico.

【 授权许可】

Unknown