Contamination of fungal genomes of Onygenaceae (Phylum Ascomycota) in public databases: incidence, detection, and impact.

ABSTRACT: Genomic datasets often contain unwanted, foreign, or erroneous nucleotide sequences that do not belong to the organism under study. Such contamination can significantly compromise genome analyses, reducing the accuracy and reliability of the results. Despite its potential impact, few studies have addressed the contamination of fungal genomes by exogenous sequences. Here, we analyzed eleven publicly available genomes of fungi from the family Onygenaceae, retrieved from the National Center for Biotechnology Information (NCBI) database. A comprehensive quality assessment was performed, evaluating genome completeness, contiguity, and contamination levels. Genomes with lower statistical quality and putatively contaminated were selected for further improvement. To enhance assembly quality, we bu

SUBMITTER: Granados-Casas AO 

PROVIDER: S-EPMC12628603 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature