Phy5
Phy5 performs genome-wide phylogenetic analysis using pentamer (five-nucleotide) frequency profiles to differentiate closely related organisms and overcome limitations of 16S rRNA analyses caused by mosaicism and intragenomic heterogeneity.
Key Features:
- Pentamer Frequency Analysis: Uses pentanucleotide (five-nucleotide) frequency profiles comprising 512 distinct patterns to construct phylogenetic trees from whole-genome data.
- Species Distinction: Differentiates closely related species such as Escherichia albertii from other Enterobacteriaceae including E. coli and Shigella by comparing genome-wide pentamer profiles.
- Support Vector Machine Integration: Incorporates a support vector machine (SVM) to classify genomes based on pentamer profiles, enhancing species-level differentiation.
- Application in Diverse Genomes: Applies the same pentamer-profile approach to non-bacterial data, for example constructing phylogenetic trees of Ipomoea species using chloroplast genome data.
Scientific Applications:
- Bacterial species resolution: Resolving phylogenetic relationships among closely related bacterial species where 16S rRNA shows mosaicism or intragenomic heterogeneity.
- Enterobacteriaceae taxonomy: Clarifying taxonomic placement within Enterobacteriaceae, including distinguishing Escherichia albertii from E. coli and Shigella.
- Plant chloroplast phylogenetics: Inferring phylogenetic relationships among Ipomoea species using chloroplast genome pentamer profiles.
Methodology:
Derives pentamer/pentanucleotide frequency profiles (512 patterns) from genome sequences, constructs phylogenetic trees from these profiles, and applies a support vector machine (SVM) for genome classification.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- library, web application
- Operating Systems:
- Linux
- Programming Languages:
- R
- Added:
- 10/16/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Nakano Y, Domon Y, Yamagishi K. Phylogenetic trees of closely related bacterial species and subspecies based on frequencies of short nucleotide sequences. PLOS ONE. 2023;18(4):e0268847. doi:10.1371/journal.pone.0268847. PMID:37079522. PMCID:PMC10118083.