Pangenome evolution in Escherichia coli is sequence type, not phylogroup, specific
Cummins, E.; Hall, R. J.; Connor, C.; McInerney, J.; McNally, A.
Show abstract
The Escherichia coli species contains a diverse set of sequence types and there remain important questions regarding differences in genetic content within this population that need to be addressed. Pangenomes are useful vehicles for studying gene content within sequence types. Here, we analyse 21 E. coli sequence type pangenomes using comparative pangenomics to identify variance in both pangenome structure and content. We present functional breakdowns of sequence type core genomes and identify sequence types that are enriched in metabolism, transcription and cell membrane biogenesis genes. We also uncover metabolism genes that have variable core classification depending on which allele is present. Our comparative pangenomics approach allows for detailed exploration of sequence type pangenomes within the context of the species. We show that pangenome evolution is independent of phylogenetic signal at the phylogroup level, which may be a consequence of distinct sequence type-specific driving factors relating to ecology and pathogenic phenotype. Data SummarySupporting data and code have been provided within the article or through Supplementary Data files available at https://doi.org/10.6084/m9.figshare.19793758. Custom Python scripts used to perform analyses are available at github.com/lillycummins/InterPangenome unless otherwise stated in the text.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Distribution, organization and expression of genes concerned with anaerobic lactate-utilization in human intestinal bacteria 97%
- Use of Genome Scale Metabolic Reconstructions of Avian Pathogenic Escherichia coli (APEC) phylogroups for the identification of lineage-specific metabolic pathways 96%
- Diversity and prevalence of colibactin- and yersiniabactin encoding mobile genetic elements in enterobacterial populations: insights into evolution and co-existence of two bacterial secondary metabolite determinants 96%
Similar papers in this journal
- The defining genomic and predicted metabolic features of the Acetobacterium genus 96%
- GSR-DB: a manually curated and optimised taxonomical database for 16S rRNA amplicon analysis 94%
- Dissecting transcriptomic signatures of genotype x genotype interactions during the initiation of plant-rhizobium symbiosis 94%
Similar papers in this journal
Similar papers in this journal
- Unexpected distribution of the 4-formylaminooxyvinylglycine (FVG) biosynthetic pathway in Pseudomonas and beyond 95%
- Gene co-expression network analysis of the human gut commensal bacterium Faecalibacterium prausnitzii based on WGCNA in R-Shiny 95%
- Prediction of Burkholderia pseudomallei DsbA substrates identifies potential virulence factors and vaccine targets 95%
Similar papers in this journal
- Population genomics of Vibrionaceae isolated from an endangered oasis reveals local adaptation after an environmental perturbation. 95%
- Complete genome sequence and annotation of the laboratory reference strain Shigella flexneri serovar 5a M90T and genome-wide transcriptional start site determination 95%
- Distribution and diversity of dimetal-carboxylate halogenases in cyanobacteria 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.