Construction of Phylogenetic Relationships Based on 8-mer Spectra Distribution Characteristics of Vertebrate Whole Genome Sequences
<b>Background/Objectives</b>: With advances in sequencing technology, whole genome sequences have become a valuable resource for deciphering species evolution. However, efficiently extracting phylogenetic information from such data remains a major challenge. Traditional multiple sequence alignment methods are computationally intensive and perform poorly for distantly related species, while k-mer analysis offers a new direction for efficiently capturing genomic composition and evolutionary signatures. <b>Methods</b>: Feature extraction based on 8-mer spectra from 16 XYi subsets. <b>Results</b>: This study found that the distribution characteristics of whole genome sequences 8-mer spectra are closely related to species evolution. Building on this, we developed a dual-feature strategy for genome-scale phylogenetics. The strategy incorporates two distinct feature types: (a) 186 class-level phylogenetic features (comprising 93 for separability and 93 for conservatism), identified from 8-mer spectrum distributions of 16 XYi subsets, which capture macroevolutionary patterns; and (b) order-level phylogenetic features, designated as rank information, which are generated by ranking all 65,536 8-mers by frequency based on the CGi subset's long-tail distribution and thereby capture microevolutionary patterns. Validation across vertebrate genomes confirmed that the class-level features establish the phylogenetic backbone, whereas the order-level features enable finer-resolution discrimination at the ordinal level. <b>Conclusions</b>: This study proposes a new method for constructing phylogenetic relationships at the genomic level.
Authors
- Zhenhua Yang (ORCID: https://orcid.org/0000-0001-6947-6208)
- Li Wang (ORCID: https://orcid.org/0000-0003-3722-5986)
- Guojun Liu
- Xiangjun Cui
- Dongsheng Yu
Institutions
- Inner Mongolia University of Science and Technology (CN)
- Baotou Teachers College (CN)
Publication Details
- Journal
- Genes
- Published
- 2025-12-31
- DOI
- https://doi.org/10.3390/genes17010039
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00