Identifying candidate Aspergillus pathogenicity factors by annotation frequency.

ABSTRACT:

Background

Members of the genus Aspergillus display a variety of lifestyles, ranging from saprobic to pathogenic on plants and/or animals. Increased genome sequencing of economically important members of the genus permits effective use of "-omics" comparisons between closely related species and strains to identify candidate genes that may contribute to phenotypes of interest, especially relating to pathogenicity. Protein-coding genes were predicted from 216 genomes of 12 Aspergillus species, and the frequencies of various structural aspects (exon count and length, intron count and length, GC content, and codon usage) and functional annotations (InterPro, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes terms) were compared.

Results

Using principal component analyse

SUBMITTER: Pennerman KK 

PROVIDER: S-EPMC7661267 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature