Omics · study · 2026
Transcriptomic analysis of Listeria monocytogenes strains linked to fresh produce outbreaks in response to commercial sanitizers
Listed in NCBI GEO
Several fresh produce outbreaks have been associated with Listeria monocytogenes contamination during postharvest.
Description
Sanitation practices are among the most critical measures for controlling and minimizing bacterial growth. The aim of this research was to evaluate the transcriptomic response of a cocktail of four L. monocytogenes strains associated with the 2011 cantaloupe and 2014 caramel apple listeriosis outbreaks.
Differentially expressed genes (DEGs) were evaluated after exposure to sublethal concentrations of four sanitizer treatments including chlorine (Cl) and peracetic acid (PAA) at 5 ppm, lactic acid 0.2% (LA), and 50% silver dihydrogen citrate (SDC) during 70 s exposure via RNA-sequencing (n=4). SDC exposure resulted in the greatest number of DEGs (total: 127; up: 57, down: 70), followed by LA (total: 32; up: 8, down: 24), Cl (total: 16; up: 8, down: 8), and PAA (total: 1; up: 1).
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Non-coding RNAs including small, long, transfer and Listeria-specific regulatory RNAs (Rli) ranked among the most significantly DEGs across treatments. From those, one unique gene lmos88, associated with S-Adenosyl Methionine (SAM) synthesis, was significantly upregulated across all sanitizers, suggesting a fundamental role on L. monocytogenes response. Among Rlis- rli30, rli47 and rli55 were upregulated in response to Cl and SDC treatments, respectively.
Both SDC and LA had significant overlap in gene response. Only Cl treatment caused significant downregulated pathways including tRNA charging (Q=0.00263), aminoacyl-tRNA biosynthesis (Q=0.00328), and other related metabolic clusters (Q=0.00355). Upregulated gene ontology (GO) terms were observed only after SDC application and were related to membrane-associated functions (Q=0.00034).
These findings underscore how commercially available sanitizers affect L. monocytogenes transcriptomic profile, and the key role non-coding RNA genes play on response to sanitizers.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE306nnn/GSE306222 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE306222 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1309701 ncbi.nlm.nih.gov/bioproject/PRJNA1309701 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Food sciences 69%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE306222 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3006 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| 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 |