Taxonomic classification of genus Aeromonas using open reading frame-based binarized structure network analysis.

ABSTRACT:

Objectives

Taxonomic assignment based on whole-genome sequencing data facilitates clear demarcation of species within a complex genus. Here, we applied a unique pan-genome phylogenetic method, open reading frame (ORF)-based binarized structure network analysis (OSNA), for taxonomic inference of Aeromonas spp., a complex taxonomic group consisting of 30 species.

Methods

Data from 335 publicly available Aeromonas genomes, including the reference genomes of 30 species, were used to build a phylogenetic tree using OSNA. In OSNA, whole-genome structures are expressed as binary sequences based on the presence or absence of ORFs, and a tree is generated using neighbor-net, a distance-based method for constructing phylogenetic networks from binary sequences. The tree b

SUBMITTER: Sakurai A 

PROVIDER: S-EPMC10847635 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature