ArticlePeerJ2019
CAM: an alignment-free method to recover phylogenies using codon aversion motifs.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 16 citations in OpenAlex.
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- Mitochondrial PCGs Provide Novel Insights into Subspecies Classification, Codon Usage and Selection ofAnimals : an open access journal from MDPI · 2025Article
- Ramp Sequence May Explain Synonymous Variant Association with Alzheimer's Disease in the Paired Immunoglobulin-like Type 2 Receptor Alpha (PILRA).Biomedicines · 2025Article
- Ramp sequence may explain synonymous variant association with Alzheimer's disease in the Paired Immunoglobulin-like Type 2 Receptor Alpha (bioRxiv : the preprint server for biology · 2025Article
- Comparative Plastome Analysis Between Endangered Mangrove SpeciesEcology and evolution · 2024Article
- Phylogenomics and plastomics offer new evolutionary perspectives on Kalanchoideae (Crassulaceae).Annals of botany · 2024Article
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- Ten Plastomes ofBiology · 2022Article
- Plastomes ofInternational journal of molecular sciences · 2022Article
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- A comprehensive analysis of the phylogenetic signal in ramp sequences in 211 vertebrates.Scientific reports · 2021Article
- CUBAP: an interactive web portal for analyzing codon usage biases across populations.Nucleic acids research · 2020Article
- Codon Pairs are Phylogenetically Conserved: A comprehensive analysis of codon pairing conservation across the Tree of Life.PloS one · 2020Article
- Molecular epidemiology of carbapenem-resistance plasmids using publicly available sequences.Genome · 2019Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCommon phylogenomic approaches for recovering phylogenies are often time-consuming and require annotations for orthologous gene relationships that are not always available. In contrast, alignment-free phylogenomic approaches typically use structure and oligomer frequencies to calculate pairwise distances between species. We have developed an approach to quickly calculate distances between species based on codon aversion.
methodsUtilizing a novel alignment-free character state, we present CAM, an alignment-free approach to recover phylogenies by comparing differences in codon aversion motifs (i.e., the set of unused codons within each gene) across all genes within a species. Synonymous codon usage is non-random and differs between organisms, between genes, and even within a single gene, and many genes do not use all possible codons. We report a comprehensive analysis of codon aversion within 229,742,339 genes from 23,428 species across all kingdoms of life, and we provide an alignment-free framework for its use in a phylogenetic construct. For each species, we first construct a set of codon aversion motifs spanning all genes within that species. We define the pairwise distance between two species, A and B, as one minus the number of shared codon aversion motifs divided by the total codon aversion motifs of the species, A or B, containing the fewest motifs. This approach allows us to calculate pairwise distances even when substantial differences in the number of genes or a high rate of divergence between species exists. Finally, we use neighbor-joining to recover phylogenies.
resultsUsing the Open Tree of Life and NCBI Taxonomy Database as expected phylogenies, our approach compares well, recovering phylogenies that largely match expected trees and are comparable to trees recovered using maximum likelihood and other alignment-free approaches. Our technique is much faster than maximum likelihood and similar in accuracy to other alignment-free approaches. Therefore, we propose that codon aversion be considered a phylogenetically conserved character that may be used in future phylogenomic studies. AVAILABILITY: CAM, documentation, and test files are freely available on GitHub at https://github.com/ridgelab/cam.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.