Genomic analysis of two Acinetobacter baumannii strains belonging to two different sequence types (ST172 and ST25)
Bibliographic record
Abstract
OBJECTIVES: Acinetobacter baumannii is an opportunistic nosocomial pathogen that is the main focus of attention in clinical settings owing to its intrinsic ability to persist in the hospital environment and its capacity to acquire determinants of resistance and virulence. Here we present the genomic sequencing, molecular characterisation and genomic comparison of two A. baumannii strains belonging to two different sequence types (STs), one sporadic and one widely distributed in our region. METHODS: Whole-genome sequencing (WGS) of Ab42 and Ab376 was performed using Illumina MiSeq-I and the genomes were assembled with SPAdes. ARG-ANNOT, CARD-RGI, ISfinder, PHAST, PlasmidFinder, plasmidSPAdes and IslandViewer were used to analyse both genomes. RESULTS: Genome analysis revealed that Ab42 belongs to ST172, an uncommon ST, whilst Ab376 belongs to ST25, a widely distributed ST. Molecular characterisation showed the presence of two antibiotic resistance genes in Ab42 and nine in Ab376. No insertion sequences were detected in Ab42, however 22 were detected in Ab376. Moreover, two prophages were found in Ab42 and three in Ab376. In addition, a CRISPR-cas type I-Fb and two plasmids, one of which harboured an AbGRI1-like island, were found in Ab376. CONCLUSIONS: We present WGS analysis of twoA. baumannii strains belonging to two different STs. These findings allowed us to characterise a previously undescribed ST (ST172) and provide new insights to the widely studied ST25.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
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".