Targeted microarray analysis of stationary phase Escherichia coli O157:H7 subjected to disparate nutrient conditions
Bibliographic record
Abstract
AIMS: To determine how stress response and virulence gene expression of stationary phase (SP) Escherichia coli O157:H7 are affected by nutrient levels. METHODS AND RESULTS: A targeted microarray (n=125 genes) was used to determine the impact of nutrient deprivation [15 min in 3-(N-Morpholino)propanesulfonic acid buffer] on SP E. coli O157:H7. In total, 24 genes were significantly affected (>1·5-fold; P <0·05) with 17 induced and seven attenuated. Additionally, 11 genes belonging to significantly affected stress response regulons were significantly induced (P<0·05), though <1·5-fold. Induced genes included global and specific stress response regulators, the mar operon, iron acquisition and virulence genes. In contrast, transcript for major porins and replicative genes were repressed. Comparison of the nutrient deprived transcriptome to that derived from nutrient replenished cells revealed a disparate transcriptome, with 44 genes expressed at significantly elevated levels in nutrient replenished cells, including all queried global and specific stress response regulators and key virulence genes. Genes expressed at elevated levels in nutrient deprived cells were related to σ(S) . The microarray data were validated by qRT-PCR. CONCLUSIONS: SP E. coli O157:H7 were affected by nutrient deprivation, with both starvation-related and unrelated networks induced, thereby demonstrating how the E. coli O157:H7 stress response transcriptome is fine-tuned to environmental conditions. Further, by comparison of starved cells to cells provided with fresh nutrients, it is clear starved E. coli O157:H7 undergo massive physiological reprogramming dominated initially by stress response induction to adapt to a nutrient rich environment. SIGNIFICANCE AND IMPACT OF THE STUDY: This study demonstrated how σ(S) -induced SP E. coli O157:H7 remain highly sensitive and adaptable to environmental conditions. Further, by examining how starved cells respond to nutrient-rich conditions, we show preliminary adaptation to a nutrient rich environment is dominated by the induction of diverse stress response networks. Combined, this provides E. coli O157:H7 stress physiology-based knowledge that can be used to design more effective food safety interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".