Omics · study · 2026
Sublethal envelope-targeting silver nanoparticles induce ethanolamine-mediated cross-feeding and stabilize competitive pathogens
Listed in NCBI GEO
Envelope-targeting antimicrobials are widely detected in wastewater and engineered water systems, yet their potential to reshape interspecies interactions through membrane-derived metabolites remains poorly understood.
Description
Here, we investigated whether sublethal silver nanoparticles (AgNPs) could bias competitive interactions between Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) toward more balanced coexistence.
Repeated exposure to 0.5 mg/L AgNPs for 9 days increased the S. aureus/E. coli ratio threefold. In contrast, untreated co-cultures were dominated by E. coli, with 25% of lineages showing competitive exclusion and an E. coli/S. aureus ratio exceeding 10³ . During competition with S. aureus, E. coli activated ethanolamine (EA) utilization in bacterial microcompartments (Eut BMCs), resulting in extracellular accumulation of acetate and ammonium.
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Physiological assays identified nitrogen, rather than carbon, as the principal growth-promoting currency of this cross-feeding interaction. Deletion of eutBC in AgNP-exposed cocultures abolished the coexistence phenotype and restored an outcome similar to that observed in the absence of AgNP exposure. In simulated eutrophic water, sublethal AgNPs also enhanced S. aureus survival through the E. coli Eut pathway, supporting the environmental relevance of this mechanism.
Mass-matched Ag⁺ exposure neither induced EA utilization nor promoted more balanced coexistence. These findings indicate that sublethal envelope-targeting nanomaterials can alter microbial metabolism and competitive relationships in this two-species model, with potential implications for interactions in contaminated water systems.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE343nnn/GSE343594 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE343594 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1511933 ncbi.nlm.nih.gov/bioproject/PRJNA1511933 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Industrial biotechnology 71%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE343594 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3106 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |