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Article

Molecular Characterization of Colistin-Resistant Clinical Acinetobacter baumannii from Northern Greece: Phenotypic Colistin Susceptibility and lpx/pmrCAB Mutational Profiles

by
Dimitrios Karakalpakidis
1,
Michaela-Eftychia Tsitlakidou
1,
Michalis Paraskeva
1,
Maria Nikoleta Mavidi
1,
Maria Marinou
2,
Kassandra Procter
2,
Apostolos Beloukas
2 and
Christine Kottaridi
1,*
1
Laboratory of General Microbiology, Department of Genetics, Development and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
2
Laboratory of Molecular Microbiology and Immunology, Department of Biomedical Sciences, University of West Attica, 12243 Athens, Greece
*
Author to whom correspondence should be addressed.
Antibiotics 2026, 15(3), 318; https://doi.org/10.3390/antibiotics15030318
Submission received: 21 February 2026 / Revised: 12 March 2026 / Accepted: 19 March 2026 / Published: 20 March 2026

Abstract

Background: Acinetobacter baumannii (A. baumannii) is a formidable nosocomial pathogen and is classified by the World Health Organization (WHO) as a critical-priority pathogen, owing to its rapid evolution into extensively drug-resistant (XDR) and pan-drug-resistant (PDR) strains. Colistin remains one of the last-resort therapeutic options, although resistance rates are increasing in endemic regions such as Greece. In this study, we investigated the molecular basis of colistin resistance and characterized the clonal backgrounds of clinical XDR/PDR A. baumannii isolates collected between January and June 2022 from two tertiary-care hospitals in Thessaloniki, Northern Greece. Methods: We analyzed forty non-duplicate XDR/PDR clinical isolates. Antimicrobial susceptibility was determined using the VITEK 2 system, broth microdilution, and gradient diffusion methods. The lipid A biosynthesis genes (lpxA, lpxC, lpxD) and the pmrCAB operon were amplified by PCR and sequenced for all isolates. A representative subset of strains (n = 10/40) underwent multilocus sequence typing (MLST) according to the Pasteur MLST scheme. Results: All isolates proved colistin-resistant (MIC ≥ 4 µg/mL), and 95% were classified as PDR. Sequence analysis revealed multiple nonsynonymous mutations in the pmrCAB operon, with the PmrB A226V substitution predominating and extensive amino-acid changes observed in PmrC. In contrast, lpx genes exhibited limited protein-level variation, limited to lineage-associated polymorphisms (LpxC N287D, LpxD E117K). A novel six-nucleotide insertion in pmrB was identified in one isolate. MLST demonstrated a predominance of ST2 (International Clone 2), with single representatives of ST115 (IC2) and ST1 (IC1). Conclusions: In this cohort from Northern Greece, chromosomal mutations in the pmrCAB operon, within a predominantly ST2/IC2 background, were strongly associated with colistin resistance. These findings underscore the urgent need for continued molecular surveillance and targeted infection-control measures to limit further spread of PDR A. baumannii.

1. Introduction

Antimicrobial resistance (AMR) is widely recognized as an escalating global health threat. In 2019, antimicrobial-resistant infections were estimated to be directly responsible for approximately 1.27 million deaths and associated with nearly 4.95 million deaths worldwide annually [1,2]. Among multidrug-resistant (MDR) Gram-negative bacteria, Acinetobacter baumannii has been classified by the WHO as a “critical-priority” pathogen, reflecting the rapid emergence of extensively drug-resistant (XDR) and pandrug-resistant (PDR) strains [3]. Colistin, used as a last-resort therapeutic option against severe infections, has shown declining effectiveness due to the rise in resistance [2]. Colistin resistance in A. baumannii is multifactorial and linked to diverse molecular mechanisms. Alterations in genes involved in lipopolysaccharide (LPS) biosynthesis (lpxA, lpxC, lpxD) can disrupt the integrity of the outer membrane, thereby reducing colistin binding capacity [4,5]. Similarly, changes in the PmrAB two-component regulatory system lead to phosphoethanolamine modifications to lipid A, decreasing susceptibility to the drug [4,5]. In addition, although rare, other mechanisms, such as plasmid-mediated mcr genes or regulatory pathway alterations, have been reported [6,7].
Multilocus sequence typing (MLST) is widely used for population-level characterization of A. baumannii and relies on sequencing internal fragments of seven housekeeping genes, followed by the assignment of isolates to sequence types (STs) based on their allelic profiles [8,9,10]. Two MLST schemes have been developed for A. baumannii, the Oxford and the Pasteur schemes, which use different sets of loci and therefore generate independent sequence type (ST) designations [9,10]. The Oxford scheme provides higher discriminatory power, but several of its loci are affected by homologous recombination and the presence of paralogous copies, which may complicate phylogenetic interpretation [11,12,13]. In contrast, the Pasteur scheme is based on more conserved loci and tends to define clonal groupings that better reflect monophyletic lineages [11,12,13,14]. For this reason, and due to its wide use in epidemiological surveillance studies, the Pasteur MLST scheme was selected for the analysis of the isolates included in this study.
According to the European Centre for Disease Prevention and Control (ECDC) data, Greece ranks among the European countries with the highest prevalence of MDR Gram-negative bacteria, with A. baumannii being a major cause of hospital-acquired infections [15]. The most recent reports show that resistance to carbapenems and other antimicrobials remains alarmingly high in Greek hospitals [4,15]. Based on 61 isolates reported to GLASS in 2023, colistin resistance reached 48%; however, this estimate is derived from a limited dataset [16,17,18]. Despite the severity of the situation, molecular data explaining colistin resistance in Greek A. baumannii isolates remain limited.
This study seeks to address this knowledge gap by molecular characterization of clinical XDR and PDR A. baumannii isolates recovered from two hospitals in Thessaloniki, northern Greece. The analysis focuses on mutations affecting the LPS biosynthesis genes lpxA, lpxC, and lpxD, as well as the pmrCAB operon involved in colistin resistance. In parallel, MLST is applied to define the clonal background of the isolates and to assess the distribution of STs among colistin resistance. This combined approach links the genetic basis of resistance with the local epidemiological framework that supports the persistence of high-risk A. baumannii lineages in the hospital settings.

2. Results

2.1. Isolate Collection

In total, 40 XDR and PDR A. baumannii isolates were analyzed, each representing a single hospitalized patient. Twenty-seven isolates originated from Hippokration General Hospital and thirteen from G. Papanikolaou General Hospital. Nearly half of the isolates were derived from ICU patients (n = 19), with additional cases originating from the Internal Medicine Unit (n = 7), the Respiratory Failure Unit (RFU, n = 3), and the Plastic Surgery Unit (PSU, n = 3). The remaining eight isolates were obtained from the High Dependency Unit (HDU, n = 2), the Surgical Ward (Surg, n = 2), the Cardiology Ward (Cardio, n = 1), the Obstetrics and Gynecology Unit (ObGyn, n = 1), the Neurology Ward (Neuro, n = 1), and the Nephrology Ward (Nephro, n = 1). The study cohort included 23 male and 17 female patients.

2.2. Colistin Resistance and Antimicrobial Susceptibility

Of the 40 A. baumannii isolates analyzed, 38 (95%) exhibited a pandrug-resistant (PDR) phenotype, while the remaining two were classified as extensively drug-resistant (XDR). Colistin susceptibility was evaluated using the reference broth microdilution (BMD) method as well as the gradient diffusion (E-test) method. Both methods consistently confirmed resistance in all isolates, with minimum inhibitory concentration (MIC) values ≥ 4 µg/mL, according to current clinical breakpoints. The results obtained were fully concordant between the two testing methods and were also in agreement with the resistance profiles previously reported by the BioMérieux VITEK 2 automated system in the participating hospitals (Table S1).

2.3. Multilocus Sequence Typing

MLST was performed on 10 of the 40 clinical isolates, selected to represent the previously identified PFGE clusters [4], which were defined based on ≥85% similarity of banding patterns using the Dice coefficient and unweighted pair group method with arithmetic mean (UPGMA). We acknowledge that selecting isolates based on these clusters may introduce some bias in clonal distribution; however, this approach was chosen to ensure representation of the major circulating clones in our collection. Among the analyzed isolates, eight were assigned to sequence type ST2, one to ST115, and one to ST1. According to the Pasteur MLST scheme, ST2 and ST115 belong to International Clone 2 (IC2), whereas ST1 is classified within International Clone 1 (IC1). Overall, 9 of the 10 typed isolates belonged to IC2, while only a single isolate was associated with IC1. The clonal predominance is inferred from a subset and cannot represent the entire collection.

2.4. Mutations in the lpx and pmr Genes

In the lpxA gene, several nucleotide polymorphisms were identified; none resulted in non-synonymous substitutions in the examined sequences. In the lpxC gene, the nucleotide substitution A859G, corresponding to an N287D amino acid change, was identified in 36/40 (90%) of the sequenced isolates. Similarly, in the lpxD gene, the G349A mutation, resulting in an E117K substitution, was detected in 30/40 (75%) of the analyzed sequences. No amino acid-altering substitutions were identified in pmrA upon analysis of the aligned and translated sequences. In pmrB, analysis of the sequenced region identified five non-synonymous mutations. The most prevalent was the A226V substitution, detected in the majority of isolates. Additional substitutions, including K179M, E210D, and A275E, were identified in a small number of isolates. A six-nucleotide insertion (821_822insACGATT) was observed in a single isolate, resulting in the insertion of two amino acids (Leu–Ala) in the PmrB protein.
In pmrC, multiple amino acid substitutions were detected. All isolates carried the N284D substitution. All isolates carried the N284D substitution in PmrC. Given its universal presence across the collection, this substitution may reflect lineage-associated polymorphism linked to the predominant clonal background. Five substitutions (V42I, R109P, F150L, A254S, and K515T) were present in 38 of the 40 isolates. However, several substitutions were isolate-specific: I115V was detected only in two isolates, I326T in one isolate and H483R in another one isolate (Figure 1). The prevalence of amino acid substitutions across the analyzed genes (lpxA, lpxD, lpxC, pmrA, pmrB, and pmrC) is presented in Figure 2, while the mutation frequency per sequence type is presented at Table S2.
Quantitative analysis revealed a striking concentration of mutational burden within the pmrCAB operon. pmrC exhibited the highest overall mutation load, followed by pmrB, whereas pmrA showed nucleotide variation without corresponding amino acid substitutions. In contrast, the lpx genes displayed moderate nucleotide variability with limited protein-level impact. Diversity analysis confirmed pmrB as the most heterogeneous locus at the nucleotide level, while pmrC showed the greatest amino acid diversity (Figure 3).
Analysis of gene-level mutations revealed that amino acid substitutions in the pmrC gene were detected in all samples. This finding is corroborated by the gene co-occurrence plot, in which pmrC appears consistently among the top-ranked combinations. Other genes, including pmrB, pmrA, lpxC, lpxD, and lpxA, exhibited mutations in a smaller subset of samples, with the most frequent combinatorial mutations involving pmrC and pmrB (n = 8), pmrC and pmrA (n = 4), and smaller combinations including the lpx genes (Figure 4, Table S3).
To further visualize the distribution of amino-acid substitutions in relation to the clonal background of the isolates, a heatmap was constructed incorporating the detected mutations and the corresponding sequence types (STs) (Figure 5). The figure illustrates the presence of non-synonymous mutations across the analyzed pmr and lpx genes together with the ST classification of each isolate. This representation allows comparison of mutation patterns across isolates and provides a framework for examining their relationship with the predominant sequence types identified in the collection.

2.5. Comparison with Susceptible ST2 Genomes

Comparative analysis with publicly available colistin-susceptible ST2 genomes (BioProject PRJNA417158) was performed to differentiate lineage-associated polymorphisms from candidate resistance-associated mutations. The substitution LpxC N287D was also detected in the susceptible ST2 comparator genomes, suggesting that it likely represents lineage-associated variation rather than a resistance-specific change. In contrast, the substitutions identified in our isolate LpxD E117K, PmrB K179M, E210D, A226V, A275E, and PmrC V42I, R109P, I115V, F150L, N284D, H483R, K515T—were absent from the susceptible ST2 controls analyzed. Screening of 2386 publicly available A. baumannii genomes revealed no insertion events at pmrB codons 273–274. Notably, the ACGATT insertion corresponding to pmrB 273_274ins[LA] was not detected in any genome examined, suggesting that this mutation represents a previously unreported pmrB insertion.

3. Discussion

The emergence of colistin-resistant A. baumannii in Greek hospitals is concerning, as colistin remains one of the last therapeutic options for carbapenem-resistant infections [19,20]. All the isolates of the present study were colistin-resistant (MIC ≥ 4 µg/mL), and most exhibited a PDR phenotype. No plasmid-mediated mcr genes were detected, consistent with previous Greek studies showing that colistin resistance is primarily chromosomal, as mcr-1 to mcr-10 have not been identified in Greek isolates to date [4,18]. These findings indicate that resistance arises from intrinsic genomic mutations, as no plasmid-mediated mcr genes were detected in the present cohort [21,22,23]. National and regional surveillance data report increasing colistin resistance rates among Greek carbapenem-resistant A. baumannii (CRAB), reaching 27% in 2015 and ~33% in 2017 [18], while nearly half of isolates in multicenter Mediterranean ventilator-associated pneumonia (VAP) cohorts were PDR, including colistin resistance [19]. Together, these data highlight the sustained burden of colistin resistance in Greece and the need for continued surveillance as colistin use persists in ICU settings [20,24,25,26].
Our molecular findings align with previous Greek and international data. Multiple mutations were identified in the pmrAB two-component system and the lipid A biosynthesis pathway (lpxACD), both established mediators of colistin resistance. The PmrB A226V substitution predominated and has been consistently reported in Greek colistin-resistant isolates, where it is associated with activation of the pmrAB system and reduced colistin susceptibility [18]. Mutations in pmrA and pmrB upregulate pmrC expression, encoding a phosphoethanolamine transferase that modifies lipid A [27]. Lipid A modification by phosphoethanolamine (pEtN) has been documented in Greek resistant strains [18] and likely represents the dominant mechanism in our collection. Additional PmrB substitutions (K179M, E210D, and A275E) and synonymous pmrA polymorphisms were detected in selected isolates, consistent with reports linking multiple pmrAB mutations to elevated MICs (up to 64 µg/mL) [18]. A novel 6-nt insertion in pmrB resulted in a two–amino acid addition (Leu–Ala). Although rare, insertion events affecting pmrB have been described in colistin-resistant A. baumannii, including repeat insertions within PmrB and insertion sequence-mediated adaptive mutations emerging during colistin [28,29,30]. While the functional impact of this insertion remains uncertain, it should be considered a hypothetical mechanism. Structural alterations in the PmrB sensor domain could potentially influence activation of the pmrCAB operon and promote constitutive pmrC expression; however, this hypothesis would require confirmation through structural modeling approaches or complementation assays in future studies. The diversity of pmrB mutations in our isolates, including substitutions and an insertion, highlights the adaptive plasticity of A. baumannii, with distinct genetic routes converging on pEtN-mediated lipid A modification. Similar heterogeneity has been documented in Southeast Asia, where multiple PmrB and PmrC variants were identified across different clones [27], indicating convergent evolution toward disruption of the pmrCAB regulatory circuit. Overall, our data reinforce that PmrCAB-driven lipid A modification is the principal mechanism of colistin resistance in Greek A. baumannii [17,18]. In addition to regulatory alterations in pmrA and pmrB, structural variation in pmrC was observed in the present study. The N284D substitution was universal, while V42I, F150L, and K515T were detected in the vast majority of isolates. These variants have previously been reported in Greek and international collections and are considered lineage-associated polymorphisms rather than independent resistance determinants [17,18,27]. In contrast, R109P, H483R, and I115V have not been described in previous Greek studies nor documented in available international sequence databases. Interestingly, although alterations at residue 109 have been documented, published data primarily describe an R109H substitution, whereas the R109P variant observed in our collection has not been previously reported [31]. Moreover, substitutions such as N284D and I115V have been identified in colistin-susceptible isolates without a clear association with elevated MIC values [5,32]. Although pmrC exhibited the highest amino acid diversity in the present study, current evidence does not support an independent causal role of these variants in colistin resistance. Rather, they likely act in concert with pmrB mutations, reinforcing regulatory activation of the pmrCAB operon and phosphoethanolamine-mediated lipid A modification, as outlined in mechanistic reviews [5].
In contrast, no disruptive mutations were detected in lpxA, lpxC, or lpxD. Although polymorphisms were identified, most notably LpxC N287D and LpxD E117K, these variants have been described in both susceptible and resistant isolates [5,17] and are considered lineage-associated rather than causative unless combined with additional alterations [5,17,33]. While experimental knockouts of lpxA, lpxC, and lpxD confer high-level resistance through LPS loss [5,34,35] such mutants are rarely observed clinically [5,36,37,38], likely due to substantial fitness and virulence costs [5,39,40]. Consistently, our isolates retained modified LPS rather than exhibiting LPS deficiency, in agreement with sequencing and lipid A mass spectrometry studies from other regions [27,41,42]. These findings support that regulatory lipid A modification via PmrC predominates in clinical resistance, whereas complete LPS loss is uncommon in hospital settings [27,38].
MLST, performed on a PFGE-selected subset of isolates [4], revealed predominance of ST2 and limited clonal diversity. The isolates selected for MLST were representative of the major PFGE clusters identified in the collection, allowing estimation of the predominant clonal background. Nevertheless, because only 10 of the 40 isolates were analyzed, this approach may not fully capture the genetic diversity of the entire collection, and a degree of selection bias cannot be excluded. Despite this limitation, the high proportion of IC2 among the tested isolates suggests lineage predominance, a distribution consistent with national data. In Greece, 80.9% of carbapenem-resistant A. baumannii belonged to IC2 (all ST2) in 2015 [43] and 92.5% of colistin-resistant isolates collected during 2015–2017 were IC2, all carrying PmrB A226V [18]. ECDC surveillance likewise documented increasing colistin resistance in Greece from 1% (2012) to 27.3% (2015), with high rates among VAP isolates [18]. Similar IC2 predominance has been reported in Sicily (ST2/IC2 outbreak) [44], Serbia (76.7% ST2) [45], and Cairo (mainly ST2 within CC2) [46] supporting the association between IC2 and the dissemination of XDR/PDR strains. All ST2 isolates in our study carried PmrB A226V [5], along with LpxC N287D and LpxD E117K, consistent with lineage-associated polymorphisms described in Greek IC2 strains [17]. ST115 (CC2) was detected once and is closely related to ST2 [47], while ST1 appeared once, reflecting the lower prevalence of IC1 in Greece [43].
In summary, mutations detected in the pmrCAB and lpx loci in our isolates involve genes previously implicated in chromosomal mechanisms of colistin resistance in A. baumannii, particularly those affecting lipid A modification pathways [5,23,42]. However, because whole-genome sequencing was not performed, additional resistance determinants—such as mutations in other regulatory loci or the involvement of efflux systems—cannot be excluded [47]. The predominance of IC2/ST2 among the analyzed isolates is consistent with international reports highlighting the role of this lineage in the dissemination of multidrug- and colistin-resistant A. baumannii in hospital environments [18,43,44]. The coexistence of colistin resistance with XDR/PDR phenotypes further underscores the clinical relevance of this clone. Continued molecular surveillance, infection control measures, and antimicrobial stewardship are therefore essential to limit the spread of these high-risk lineages [2,15]. Future studies incorporating whole-genome sequencing will be important to more comprehensively characterize the genetic determinants underlying colistin resistance in these strains.

4. Materials and Methods

4.1. Sampling and Selection Process

This study utilized clinical A. baumannii isolates previously collected during a prospective study in two tertiary-care hospitals in Thessaloniki, Greece. Relevant microbiological data were obtained from laboratory databases to ensure completeness and accuracy. The isolates originated from Hippokration General Hospital (approximately 900 beds) and G. Papanikolaou General Hospital (approximately 750 beds). Ethical approval was obtained from the Scientific Councils of both hospitals (Hippokration: 9336/24-2-2022, G. Papanikolaou: 557/14-4-2022). Regarding the type of clinical specimens, the primary source of isolation was aerobic blood cultures (40.0%), followed by respiratory samples (32.5%), including bronchial secretions and one bronchoalveolar lavage specimen. Isolates were also recovered from urine cultures (12.5%), while a smaller proportion originated from skin lesion samples (5.0%) and central venous catheter tip cultures (5.0%). Single isolates were obtained from a burn wound and a stool sample (2.5% each). The inclusion criteria were: (i) isolates recovered from hospitalized patients between 1 January and 30 June 2022; (ii) isolates obtained from all hospital wards; (iii) inclusion of only the first MDR A. baumannii isolate per patient; and (iv) isolates exhibiting both MDR and colistin resistance [4]. Subsequent antimicrobial susceptibility testing revealed that a large proportion of these isolates were classified as PDR. The exclusion criteria were: (i) duplicate isolates obtained from the same patient; (ii) isolates not meeting the MDR and colistin-resistance criteria; and (iii) isolates collected outside the defined study period. The isolates were analyzed to investigate the molecular mechanisms underlying colistin resistance.

4.2. Antimicrobial Susceptibility Testing

Antimicrobial susceptibility profiles were evaluated in duplicate using the VITEK 2 automated platform (bioMérieux, Marcy l’Étoile, France). The activity of colistin was further evaluated using the reference broth microdilution method recommended by EUCAST. Minimum inhibitory concentration (MIC) values were determined by visual inspection following incubation. Colistin MICs ranged from 4 to 32 mg/L (MIC50, 8 mg/L; MIC90, 16 mg/L), consistent with the resistance profiles previously reported by the BioMérieux VITEK 2 automated system in the study’s hospitals. Growth and sterility controls were included in each assay to ensure the reliability of the results. The findings were additionally verified using gradient diffusion MIC strips (Liofilchem, Roseto degli Abruzzi, Italy) [48,49,50].
All results were interpreted according to the clinical breakpoints defined by the European Committee on Antimicrobial Susceptibility Testing (EUCAST). Based on these criteria, isolates were classified as MDR, XDR, and PDR, following established international definitions [51].

4.3. Multilocus Sequence Typing (MLST)—Pasteur Scheme

Genomic DNA was extracted using the PureLink™ Genomic DNA Mini Kit (Thermo Fisher Scientific, Waltham, MA, USA), according to the manufacturer’s instructions. MLST was performed according to the Pasteur scheme for A. baumannii. Ten of the 40 clinical isolates were selected for MLST analysis based on previously reported PFGE clusters [4], representing the major clonal groups in the collection. Internal fragments of the seven housekeeping genes cpn60, fusA, gltA, pyrG, recA, rpoB, and rplB were amplified by conventional PCR using primers obtained from the PubMLST database, following previously described reaction conditions (Table S4) [52]. Allele numbers and sequence types were assigned using the PubMLST online database according to the Pasteur MLST scheme [53].

4.4. Analysis of lpx Genes and the pmrCAB Operon

The lpxA, lpxC, and lpxD genes, as well as pmrA, pmrB, and pmrC, were amplified by conventional PCR using specific primers as previously described by Moffatt et al. and Beceiro et al. [38,42].
PCR products were subjected to bidirectional Sanger sequencing. The resulting sequences were compared with the reference genome of A. baumannii ATCC 19606 and analyzed using 4Peaks v1.8, Jalview v2.11.5.1, and MEGA X v10 software. The analysis included trimming, multiple sequence alignment using ClustalW v1.8 and MAFFT v7.490, and translation to the protein level. The sequences were examined for non-synonymous mutations and polymorphisms.
To distinguish lineage-associated polymorphisms from potential resistance-associated mutations, publicly available colistin-susceptible ST2 genomes were retrieved from BioProject PRJNA417158. Five susceptible isolates (GCF_002948475.1, GCF_002951015.1, GCF_002950975.1, GCF_002951435.1, and GCF_002951375.1), with their sequence type independently confirmed by in silico MLST using the Pasteur scheme, were used as susceptible ST2 comparators. The nucleotide sequences of the lpxA, lpxC, lpxD, pmrA, pmrB, and pmrC loci were extracted from these genomes and analyzed within the same reference framework used for the clinical isolates.
To assess whether the identified insertion corresponding to pmrB 273_274ins[LA] has been previously reported, publicly available A. baumannii assemblies were retrieved from the NCBI Assembly database using the NCBI Datasets CLI and screened locally. To ensure strict positional consistency, the screen was anchored to a full-length pmrB coding sequence extracted from the CP045110 reference framework. For each genome, the pmrB locus was recovered using a BLAST-based workflow (v2.16.0), aligned with MAFFT, and the region corresponding to codons 273–274 was specifically inspected for insertion events. Using this approach, we screened 2386 publicly available genomes, and no insertion was detected at this site in any screened genome. In particular, the ACGATT insertion corresponding to pmrB 273_274ins[LA] was not observed.

5. Conclusions

In conclusion, phenotypic and molecular analysis of colistin-resistant A. baumannii isolates from Northern Greece indicates that resistance in this collection is primarily associated with chromosomal variation in the pmrCAB pathway linked to phosphoethanolamine-mediated lipid A modification. Plasmid-mediated mcr genes were not detected, supporting the predominance of chromosomal rather than horizontally acquired resistance mechanisms. These findings highlight the importance of continued molecular surveillance of colistin resistance among high-risk A. baumannii lineages circulating in hospital settings. Overall, our results highlight the importance of combining phenotypic and molecular surveillance and demonstrate the translational potential of sequence-informed strategies to directly influence infection-control policies, optimize antimicrobial therapy, and support rapid diagnostic development.
This study has limitations. At first, clinical data were not available. In addition, colistin heteroresistance was not specifically investigated, as the study focused on isolates that were already phenotypically resistant to colistin according to EUCAST breakpoints. MLST was performed on a PFGE-selected subset of isolates, which may not fully represent the clonal distribution of the entire collection. Functional assays were not conducted to directly confirm the impact of specific mutations, including the novel pmrB insertion, on colistin resistance. A major limitation of this study is the absence of whole-genome sequencing (WGS), which would provide a more comprehensive characterization of resistance determinants, genomic context, and clonal relationships among the isolates. Finally, the study reflects isolates from a defined clinical and geographic setting, limiting broader generalization. Future studies incorporating genomic and functional analyses across multicenter cohorts would provide a more comprehensive understanding of resistance evolution.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antibiotics15030318/s1, Table S1: The table presents the isolate identification number, clinical specimen type, hospital unit from which the sample was obtained, patient sex, hospital of origin, and the minimum inhibitory concentration (MIC) of colistin expressed in µg/ML; Table S2: Frequency of variable amino-acid substitutions (present in some but not all typed isolates), stratified by MLST sequence type (ST); Table S3: Nucleotide and amino acid mutations detected in lpxA, lpxC, lpxD, pmrA, pmrB, and pmrC genes among the 40 clinical isolates; Table S4: Primers (5′→3′) and expected PCR product sizes (bp) used for the amplification of the lpxA, lpxD, lpxC, pmrA, pmrB, pmrB2, pmrC, and pmrC2 genes, as well as the seven housekeeping genes cpn60, fusA, gltA, pyrG, recA, rplB, and rpoB included in the MLST scheme for A. baumannii.

Author Contributions

Conceptualization, A.B. and C.K.; methodology, D.K., M.-E.T., M.P., M.N.M., M.M. and K.P.; writing—original draft preparation, D.K., M.P. and C.K.; writing—review and editing, D.K., M.P., A.B. and C.K.; supervision, C.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was approved by the Institutional Medical Scientific Council of the hospitals (approval protocol number of Hippokration General Hospital: 9336/2022 (approved on 5 May 2022); approval protocol number of Papanikolaou General Hospital: 557/2022 (approved on 14 April 2022)).

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within the article.

Acknowledgments

The authors would like to thank the microbiology laboratories of Hippokration General Hospital and G. Papanikolaou General Hospital in Thessaloniki for providing the clinical isolates used in this study. Artificial intelligence-based tools (ChatGPT, OpenAI, website version) and Grammarly (website version) were used exclusively for language editing and translation support. All scientific content, data interpretation, and conclusions were produced and verified by the authors. The authors have reviewed and edited the output and take full responsibility for the content of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Heat map showing the distribution of mutations in the lpxC, lpxD, pmrB, and pmrC genes of colistin-resistant A. baumannii clinical isolates, based on the reference genome CP045110. Arrows indicate gene orientation. Green denotes mutated regions, while red indicates wild-type sequence. Numbers on the left represent the isolates’ numbering.
Figure 1. Heat map showing the distribution of mutations in the lpxC, lpxD, pmrB, and pmrC genes of colistin-resistant A. baumannii clinical isolates, based on the reference genome CP045110. Arrows indicate gene orientation. Green denotes mutated regions, while red indicates wild-type sequence. Numbers on the left represent the isolates’ numbering.
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Figure 2. Gene-level mutation prevalence with 95% Wilson confidence intervals. Bar plots show the percentage of isolates with ≥1 mutation call (the presence of at least one mutation) at the nucleotide (NT) level and the corresponding amino-acid (AA) level for lpxA, lpxD, lpxC, pmrA, pmrB, and pmrC. Error bars indicate 95% Wilson confidence intervals for each proportion.
Figure 2. Gene-level mutation prevalence with 95% Wilson confidence intervals. Bar plots show the percentage of isolates with ≥1 mutation call (the presence of at least one mutation) at the nucleotide (NT) level and the corresponding amino-acid (AA) level for lpxA, lpxD, lpxC, pmrA, pmrB, and pmrC. Error bars indicate 95% Wilson confidence intervals for each proportion.
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Figure 3. Unique mutation burden at the nucleotide and amino acid levels across resistance-related loci. Bars display the number of deduplicated (unique) nucleotide (NT) mutations and unique amino acid (AA) substitutions identified per gene (lpxA, lpxD, lpxC, pmrA, pmrB, and pmrC). Values above the bars represent the counts.
Figure 3. Unique mutation burden at the nucleotide and amino acid levels across resistance-related loci. Bars display the number of deduplicated (unique) nucleotide (NT) mutations and unique amino acid (AA) substitutions identified per gene (lpxA, lpxD, lpxC, pmrA, pmrB, and pmrC). Values above the bars represent the counts.
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Figure 4. UpSet-style summary of gene-level co-occurrence of nucleotide (NT) mutations, where each isolate is scored “mutated” for a gene if ≥1 NT mutation entry is recorded. Bars indicate the number of isolates for each gene-combination (top intersections), and the dot matrix indicates which genes are included in each intersection. Colored dots indicate the presence of mutations in the corresponding genes; colors are used for visual distinction of mutation patterns and do not represent quantitative differences.
Figure 4. UpSet-style summary of gene-level co-occurrence of nucleotide (NT) mutations, where each isolate is scored “mutated” for a gene if ≥1 NT mutation entry is recorded. Bars indicate the number of isolates for each gene-combination (top intersections), and the dot matrix indicates which genes are included in each intersection. Colored dots indicate the presence of mutations in the corresponding genes; colors are used for visual distinction of mutation patterns and do not represent quantitative differences.
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Figure 5. Mutation-profile clustering of amino-acid substitutions across isolates with ST overlay. Binary heatmap showing presence (blue) or absence (white) of amino-acid substitutions detected in the lpx and pmr loci. Columns represent AA substitutions (gene:mutation) filtered to those present in ≥2 isolates; rows represent isolates. Unsupervised hierarchical clustering was performed using Jaccard distance with complete linkage (dendrograms shown). Columns are grouped by gene (top color bar; lpxC, lpxD, pmrB, pmrC). The left annotation indicates MLST sequence type (ST) for typed isolates; isolates without MLST assignment are labeled NA.
Figure 5. Mutation-profile clustering of amino-acid substitutions across isolates with ST overlay. Binary heatmap showing presence (blue) or absence (white) of amino-acid substitutions detected in the lpx and pmr loci. Columns represent AA substitutions (gene:mutation) filtered to those present in ≥2 isolates; rows represent isolates. Unsupervised hierarchical clustering was performed using Jaccard distance with complete linkage (dendrograms shown). Columns are grouped by gene (top color bar; lpxC, lpxD, pmrB, pmrC). The left annotation indicates MLST sequence type (ST) for typed isolates; isolates without MLST assignment are labeled NA.
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Karakalpakidis, D.; Tsitlakidou, M.-E.; Paraskeva, M.; Mavidi, M.N.; Marinou, M.; Procter, K.; Beloukas, A.; Kottaridi, C. Molecular Characterization of Colistin-Resistant Clinical Acinetobacter baumannii from Northern Greece: Phenotypic Colistin Susceptibility and lpx/pmrCAB Mutational Profiles. Antibiotics 2026, 15, 318. https://doi.org/10.3390/antibiotics15030318

AMA Style

Karakalpakidis D, Tsitlakidou M-E, Paraskeva M, Mavidi MN, Marinou M, Procter K, Beloukas A, Kottaridi C. Molecular Characterization of Colistin-Resistant Clinical Acinetobacter baumannii from Northern Greece: Phenotypic Colistin Susceptibility and lpx/pmrCAB Mutational Profiles. Antibiotics. 2026; 15(3):318. https://doi.org/10.3390/antibiotics15030318

Chicago/Turabian Style

Karakalpakidis, Dimitrios, Michaela-Eftychia Tsitlakidou, Michalis Paraskeva, Maria Nikoleta Mavidi, Maria Marinou, Kassandra Procter, Apostolos Beloukas, and Christine Kottaridi. 2026. "Molecular Characterization of Colistin-Resistant Clinical Acinetobacter baumannii from Northern Greece: Phenotypic Colistin Susceptibility and lpx/pmrCAB Mutational Profiles" Antibiotics 15, no. 3: 318. https://doi.org/10.3390/antibiotics15030318

APA Style

Karakalpakidis, D., Tsitlakidou, M.-E., Paraskeva, M., Mavidi, M. N., Marinou, M., Procter, K., Beloukas, A., & Kottaridi, C. (2026). Molecular Characterization of Colistin-Resistant Clinical Acinetobacter baumannii from Northern Greece: Phenotypic Colistin Susceptibility and lpx/pmrCAB Mutational Profiles. Antibiotics, 15(3), 318. https://doi.org/10.3390/antibiotics15030318

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