MicrobiomeBioinformaticsPeer-reviewed journal article
VBCG: 20 validated bacterial core genes for phylogenomic analysis with high fidelity and resolution
Abstract
BackgroundPhylogenomic analysis has become an inseparable part of studies of bacterial diversity and evolution, and many different bacterial core genes have been collated and used for phylogenomic tree reconstruction. However, these genes have been selected based on their presence and single-copy ratio in all bacterial genomes, leaving out the genes phylogenetic fidelity unexamined. ResultsFrom 30,522 complete genomes covering 11,262 species, we examined 148 bacterial core genes that have been previously used for phylogenomic analysis. In addition to the gene presence and single-copy rations, we evaluated the genes phylogenetic fidelity by comparing each genes phylogeny with its corresponding 16S rRNA gene tree. Out of the 148 bacterial genes, 20 validated bacterial core genes (VBCG) were selected as the core gene set with the highest bacterial phylogenetic fidelity. Moreover, the smaller gene set resulted in a higher species presence in the tree than larger gene sets. Using Escherichia and Salmonella as examples of prominent bacterial foodborne pathogens, we demonstrated that the 20 VBCG produced phylogenies with higher fidelity and resolution at species and strain levels while 16S rRNA gene tree alone could not. ConclusionThe 20 validated core gene set improves the fidelity and speed of phylogenomic analysis. Among other uses, this tool improves our ability to explore the evolution, typing and tracking of bacterial strains, such as human pathogens. We have developed a Python pipeline and a desktop graphic app (available on GitHub) for users to perform phylogenomic analysis with high fidelity and resolution.
- organism: bacteria (other)
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: phylogenetics / evolution
- research focus: benchmarking
- research focus: software / tool
- approach: statistical model
- approach: benchmark study
- Citations
- 46
- FWCI
- 4.09
- Field percentile
- top 4%
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