Data · dataset · 2026
Supplemental data for: Osmotic conditions shape fitness gains and resistance mechanisms during E. coli and T4 phage co-evolution
Listed in Borealis
This dataset contains all data and code required to reproduce the figures in the manuscript: Osmotic conditions shape fitness gains and resistance mechanisms during E. coli and T4 phage co-evolution.
Description
Abstract
Environmental conditions strongly influence interactions between bacteria and bacteriophages (phages). Here, we examined how osmolality (solute concentration) shapes the in vitro co-evolution of T4 phage and its host Escherichia coli during serial passage. When evolved independently, we observed substantial fitness gains in both bacteria and phages, particularly in high-osmotic conditions.
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During co-evolution, however, fitness gains were limited, bacterial populations consistently evolved phage resistance, and several phage populations went extinct. Furthermore, the resistance mechanisms varied by osmolality. In lower osmolalities, mutations disrupted phage-binding sites, conferring strong resistance.
In higher osmolalities, mutations led to increased colonic acid production, producing a mucoid phenotype with weaker resistance. Because mucoidy has been associated with increased bacterial virulence, these findings suggest that gut-relevant osmotic conditions may constrain evolutionary trajectories, favoring resistance strategies that are less effective against phage but potentially more virulent, with important implications for phage therapy design.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP3%2FGY6FK0 ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp3/gy6fk0 ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP3%2… ↗
metadata API · from borealisdata ca
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Evolutionary biology 73%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP3/GY6FK0 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3104 | enrichment · borealisdata ca | taxonomy-embedding@1.1.0 | title+keywords+description (73%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |