Reviewer response for version 1
Bibliographic record
Abstract
Staphylococcus aureus has been involved in transfusion-transmitted fatalities associated with platelet concentrates (PCs) due to its heightened pathogenicity enhanced by genome-encoded virulence and antibiotic resistance genes. This may be facilitated by mobile genetic elements (MGEs) that can cause rearrangements. Several factors contribute to S. aureus virulence, including the type VII secretion system (T7SS), which is comprised of twelve genes, six of which form the T7SS core and are conserved across S. aureus strains. In this study, we conducted comparative genome analyses of five S. aureus isolates from PCs (CI/BAC/25/13/W, PS/BAC/169/17/W and PS/BAC/317/16/W were detected during PCs screening with the BACT/ALERT automated culture system, and ATR-20003 and CBS2016-05 were missed during screening and caused septic transfusion reactions). Multiple alignments of the genomes revealed evidence of rearrangements involving phage ɸSa3 in PS/BAC/169/17/W and PS/BAC/317/16/W. While the former had undergone translocation of its immune evasion cluster (IEC), the latter had lost part of the phage, leaving behind the IEC. This observation confirms S. aureus genome plasticity. Unexpectedly, strain CBS2016-05 was found to encode a pseudo-T7SS that had lost five of the conserved core genes (esxA, esaA, essA, esaB and essB) and contained a 5’ truncated essC. Since these genes are essential for the function of the T7SS protein transport machinery, which plays a key role in S. aureus virulence, CBS2016-05 probably compensates by recruiting other export mechanisms and/or alternative virulence factors, such as neutralizing immunity proteins. This study unravels genome rearrangements in S. aureus isolated from PCs and reports the first S. aureus isolate lacking conserved T7SS core genes.
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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 | 0.018 | 0.209 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.668 | 0.328 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".