Induction of <i>Escherichia coli</i> O157:H7 into the viable but non‐culturable state by chloraminated water and river water, and subsequent resuscitation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Induction of culturable Escherichia coli O157:H7 cells into a viable but non-culturable (VBNC) state by chloraminated tap water was carefully investigated; as many as 90% of initial cells entered into a VBNC state within 15 min, compared with 14% in river water within 14 weeks. To understand what specific stresses may induce E. coli O157:H7 into a VBNC state, chloraminated tap water, autoclaved river water, and media with known ingredients (PBS buffer and deionized water) at 4°C or 25°C were used to examine induction efficiency. Chloramination alone, or the combination of starvation with either low temperature or osmotic pressure, induced E. coli O157:H7 into a VBNC state, while starvation alone did not induce the bacteria into a VBNC state within 1.5 years. The mRNA of the rfbE and fliC genes was detected in the 10-month-old VBNC cells induced by river water, confirming the viability of E. coli O157:H7 VBNC cells. The VBNC cells induced by chloraminated water and the 10-month-old VBNC cells induced by river water were first resuscitated using autoinducers produced by E. coli O157:H7 itself in a serum-based medium; the VBNC cells of bovine isolates recovered more efficiently compared with those of clinical isolates. These results demonstrate a potential health risk of VBNC E. coli O157:H7 in environmental water and the utility of monitoring viable E. coli O157:H7 including VBNC cells based on the mRNA of the rfbE and fliC genes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it