Unknown

Dataset Information

Evaluating the Genome-Based Average Nucleotide Identity Calculation for Identification of Twelve Yeast Species.


ABSTRACT: Classifying a yeast strain into a recognized species is not always straightforward. Currently, the taxonomic delineation of yeast strains involves multiple approaches covering phenotypic characteristics and molecular methodologies, including genome-based analysis. The aim of this study was to evaluate the suitability of the Average Nucleotide Identity (ANI) calculation through FastANI, a tool created for bacterial species identification, for the assignment of strains to some yeast species. FastANI, the alignment of in silico-extracted D1/D2 sequences of LSU rRNA, and multiple alignments of orthologous genes (MAOG) were employed to analyze 644 assemblies from 12 yeast genera, encompassing various species, and on a dataset of hybrid Saccharomyces species. Overall, the analysis showed

SUBMITTER: Cortimiglia C 

PROVIDER: S-EPMC11433037 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature