<i>In silico</i> and <i>in vitro</i> comparative analysis of 79 <i>Acinetobacter baumannii</i> clinical isolates
Bibliographic record
Abstract
ABSTRACT Acinetobacter baumannii is a significant nosocomial bacterial pathogen that poses a substantial infection risk due to its high resistance to antibiotics and ability to survive in hospital environments. In this study, we performed comprehensive in silico and in vitro analyses on 79 A. baumannii clinical isolates from different geographical locations to uncover their genomic and epidemiological characteristics as well as their antibiotic and phage susceptibilities. Our findings revealed considerable genomic diversity among the isolates, as shown by average nucleotide identity (ANI) heat maps, multilocus sequence typing (MLST), and core genome MLST (cgMLST). We identified several international clones known for their high antibiotic resistance and global prevalence. Surprisingly, we also observed that the number of antimicrobial resistance genes (ARGs) was higher in isolates containing CRISPR-Cas systems. Plaque assays with 13 phages indicated that Acinetobacter phages have a narrow host range, with capsule loci (KL) serving as a good indicator of phage-bacteria interactions. The presence of CRISPR-Cas systems and other antiviral defense mechanisms in A. baumannii genomes also appears to play a key role in providing phage resistance, regardless of the phage receptors. We also found that spacers associated with subtypes I-F1 and I-F2 CRISPR-Cas systems predominantly target prophages, suggesting a role in maintaining genomic stability and contributing to phage-bacteria co-evolution. Overall, this study provides a set of highly characterized A. baumannii clinical isolates for future studies on antibiotic-phage-bacteria interactions. IMPORTANCE Acinetobacter baumannii poses a significant challenge to the healthcare system due to its antibiotic resistance and strong survival mechanisms. This study examines a diverse collection of 79 clinical isolates to deepen our understanding of A. baumannii ’s genetic characteristics and its defense mechanisms against both antibiotics and phages. Genomic analysis revealed globally prevalent, highly resistant clones and uncovered a complex role for CRISPR-Cas systems. Although CRISPR-Cas systems were not widespread among these isolates, they primarily targeted prophages. Additionally, the study emphasizes the importance of capsule types as indicators of phage susceptibility. Together, these findings provide insights into the pathogen’s resilience and evolutionary adaptations, potentially guiding future research on infection control strategies and new therapeutic approaches to combat A. baumannii infections.
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How this classification was reachedexpand
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) | 0.001 | 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) | 0.000 | 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 teacher head, 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".