Bibliographic record
Abstract
The purpose of this research was to explore the potential application of lytic phages to control Cronobacter spp. in infant formula. More than two hundred and fifty phages were isolated from various environmental samples against different strains of Cronobacter spp. Selected phages were characterized by morphology, host range, and cross infectivity. The genomes of five novel Cronobacter phages [vB_CsaM_GAP31 (GAP31), vB_CsaM_GAP32 (GAP32), vB_CsaP_GAP52 (GAP52), vB_CsaM_GAP161 (GAP161), vB_CsaP_GAP227 (GAP227)] were sequenced. Phage GAP32 possess the second largest phage genome sequenced to date, and it is proposed that GAP32 belongs to a new genus of “Gap32likeviruses”. Phages GAP52 and GAP227 are the first C. sakazakii podoviruses whose genomes have been sequenced. None of the sequenced genomes showed homology to virulent or lysogenic genes. In addition, in vivo administration of phage GAP161 in the hemolymph of Galleria mellonella larvae showed no negative effects on the wellbeing of the larvae and could effectively prevent Cronobacter infection in the larvae. A cocktail of five phages was highly effective for biocontrol of three Cronobacter sakazakii strains present as a mixed culture in both broth media and contaminated reconstituted infant formula. This phage cocktail could be potentially used to control C. sakazakii during preparation of infant formula but would first have to be clinically evaluated in mammalian models.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 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".