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Emerging Microbes & Infections logoLink to Emerging Microbes & Infections
. 2026 Sep 25;15(1):2736341. doi: 10.1080/22221751.2026.2736341

IS903B-mediated cirA inactivation confers cefiderocol resistance and adaptive fitness in carbapenem-resistant Klebsiella pneumoniae

Yuxuan Liu a,b, Xinyue Dai a,b, Hanxu Hong a,c, Chuwen Zhao a,c, Yun Cao a,b, Linping Fan a,d, Yang Liu a,b,e,CONTACT
PMCID: PMC13618097  PMID: 42789435

ABSTRACT

Cefiderocol (FDC) is a last-resort antimicrobial for the treatment of carbapenem-resistant Klebsiella pneumoniae (CRKP). Although cirA inactivation is a recognized mechanism of FDC resistance, whether different forms of cirA disruption influence bacterial adaptation and persistence remains unclear. By analyzing 1,965 publicly available long-read genomes and 480 clinical isolates, we found that cirA loss-of-function mutations were rare (1.1%) but accumulated over time among isolates from China, with four independently emerged cirA-inactivated ST11 isolates identified across distinct phylogenetic branches. Functional characterization of a representative ST11-KL64 clinical isolate showed that IS903B-mediated cirA inactivation conferred high-level FDC resistance (minimum inhibitory concentration, 128 μg/mL), which was reversed by cirA complementation. Functional assays further demonstrated that, unlike complete cirA deletion, IS903B-mediated cirA inactivation enhanced bacterial adaptation under iron-limited conditions, including competitive fitness, plasmid stability, and host-associated survival. Transcriptomic, enzymatic, and genetic analyses supported distinct Fe-S-associated metabolic remodelling in cirA::IS903B, while deletion of sufS attenuated these adaptive phenotypes. Construction of cirA::IS903B derivatives in multiple independent ST11 clinical isolates reproduced these adaptive phenotypes across diverse genetic backgrounds. Together, these findings demonstrate that IS903B-mediated cirA inactivation not only confers high-level FDC resistance but also promotes bacterial adaptation through mechanisms distinct from complete cirA deletion. The combination of resistance, enhanced adaptation, and increased plasmid stability suggests that specific resistance-associated cirA mutations may facilitate the persistence and dissemination of high-risk CRKP clones. Monitoring cirA integrity and IS insertion status may help identify FDC-resistant lineages with increased dissemination potential.

KEYWORDS: Klebsiella pneumoniae, cefiderocol resistance, cirA, IS903B, iron-limited adaptation

GRAPHICAL ABSTRACT

Four schematic diagrams outlining IS903B insertion in cirA, related metabolic remodeling under iron limitation, phenotypic changes, and an evolutionary model.

Introduction

Klebsiella pneumoniae is a major pathogen responsible for hospital-acquired infections and can cause a wide range of infectious diseases [1]. In recent years, carbapenem-resistant K. pneumoniae (CRKP) has spread rapidly worldwide, posing a serious public health threat and further limiting available antimicrobial therapies [2–4]. Cefiderocol (FDC) is a novel siderophore cephalosporin that enters bacterial cells through a “Trojan horse” strategy by hijacking iron uptake systems. It exhibits potent activity against multidrug-resistant Gram-negative bacteria and is considered an important last-resort agent for treating complicated resistant infections [5,6]. Nevertheless, the emergence of FDC-nonsusceptible CRKP isolates has raised growing clinical concerns, despite the generally high activity of FDC against carbapenem-resistant pathogens [7–9].

Current studies suggest that FDC resistance is mediated by multiple mechanisms, including increased β-lactamase expression, altered outer membrane permeability, and changes in the structure or expression of iron uptake receptors [10–13]. Among these mechanisms, cirA, which encodes a catecholate siderophore receptor, serves as a key entry pathway for FDC, and its mutation or inactivation can markedly reduce FDC uptake efficiency [14,15]. Previous studies have shown that truncation, frameshift, or premature stop mutations in cirA can result in loss of function and reduced FDC susceptibility [16,17]. However, the distribution, evolutionary patterns, and potential biological significance of cirA inactivation in K. pneumoniae populations remain poorly understood. Resistance mutations have traditionally been considered to impose fitness costs [18]. However, recent studies suggest that bacteria may alleviate these costs through metabolic reprogramming or regulatory network remodelling and may even acquire additional adaptive advantages [19–22]. As mobile transposable elements, insertion sequences (ISs) can disrupt gene structures and alter host adaptation by affecting neighbouring gene expression and local regulatory networks [23–25].

Sequence type 11 capsular locus 64 (ST11-KL64) is one of the predominant high-risk CRKP clones in China and commonly carries resistance genes such as blaKPC and blaNDM. Acquisition of virulence plasmids may further drive its evolution into hypervirulent CRKP [26]. In this clone, our previous genomic surveillance identified multiple independently emerging cirA loss-of-function mutations distributed across distinct evolutionary branches, suggesting possible positive selection for this trait. Although cirA inactivation has been repeatedly associated with cefiderocol resistance, whether different forms of cirA disruption exert distinct biological consequences beyond resistance remains largely unknown. In this study, an ST11-KL64 clinical isolate carrying IS903B-mediated cirA inactivation was used to compare the resistance and fitness phenotypes associated with different forms of cirA loss of function through isogenic strain construction. Transcriptomic analysis was further performed to preliminarily investigate potentially involved alterations in metabolic pathways.

Materials and methods

Global collection and local surveillance of K. pneumoniae

Publicly available long-read K. pneumoniae genomes deposited in the NCBI database up to February 2024 were collected for genomic analysis, yielding 1,965 non-duplicate genomes. In parallel, 480 clinical K. pneumoniae isolates were collected from a tertiary hospital in Jiangxi, China. cirA variants were identified by PCR and Sanger sequencing. Primer sequences are listed in Supplementary Table 1.

Antimicrobial susceptibility testing (AST)

The minimum inhibitory concentration (MIC) of FDC was determined by broth microdilution in iron-depleted cation-adjusted Mueller–Hinton broth (ID-CAMHB) as previously described 23 and interpreted according to CLSI guidelines [27].

Construction of cirA deletion and complemented strains

A CRISPR/Cas9 system was used to generate the complete cirA deletion mutant (ΔcirA) in the K2084 (cirA::IS903B) background. For complementation, the intact cirA gene was cloned into an expression vector and introduced into the corresponding strain. Detailed construction procedures and primer sequences are provided in the Supplementary Materials and Supplementary Table 1.

Whole-genome sequencing

Whole-genome sequencing, genome assembly, phylogenetic analysis, and mobile genetic element prediction were performed as described in the Supplementary Materials.

Transcriptomic analysis and RT-qPCR validation

Transcriptomic sequencing and RT-qPCR validation were performed under LB and ID-CAMHB conditions as described in the Supplementary Materials. Relative gene expression levels were normalized to 16S rRNA and calculated using the 2^−ΔΔCT method. Primer sequences are listed in Supplementary Table 1.

Growth curve and time-kill assays

Growth curves were determined in LB or ID-CAMHB by monitoring OD540 over time. Time-kill assays were performed in ID-CAMHB with different concentrations of FDC, with or without avibactam (4 μg/mL). Bacterial survival was quantified by CFU enumeration, and synergy and bactericidal activity were defined as reductions of ≥2 log₁₀ CFU/mL and ≥3 log₁₀ CFU/mL, respectively.

In vitro competition and plasmid stability assays

Pairwise competition assays were performed in LB and ID-CAMHB, and relative fitness (w) was calculated based on changes in strain abundance over time. For plasmid stability assays, strains were serially passaged in LB, ID-CAMHB, or LB supplemented with meropenem (2 μg/mL), and plasmid retention rates were determined by selective plating.

Intestinal colonization model

Mouse intestinal colonization assays were performed as described in the Supplementary Materials. All animal experiments were approved by the Ethics Committee of the First Affiliated Hospital of Nanchang University.

Macrophage phagocytosis assay

Macrophage intracellular survival assays using RAW 264.7 cells were performed as described in the Supplementary Materials.

Oxidative stress-associated phenotypes and aconitase activity assays

2,2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging activity, superoxide dismutase (SOD) activity, intracellular reactive oxygen species (ROS) levels, and aconitase activity were determined as described in the Supplementary Materials.

Statistical analysis

Statistical analyses were performed using unpaired Student’s t test or one-way analysis of variance (ANOVA). A P value < 0.05 was considered statistically significant.

Results

Global variation landscape and evolutionary trends of cirA in K. pneumoniae

To systematically characterize the global variation landscape of cirA in K. pneumoniae, we screened 76,828 genome assemblies deposited in the NCBI database up to February 2024 and obtained 1,965 non-duplicate genomes generated by long-read sequencing, covering isolates from 60 countries worldwide and 29 provinces in China. Most isolates originated from China (870/1,965, 44.3%), followed by the United States (225/1,965, 11.5%), Australia (120/1,965, 6.1%), and the United Kingdom (81/1,965, 4.1%). Within China, isolates were mainly distributed in Zhejiang Province (108/870, 12.4%), Taiwan Province (72/870, 8.3%), Shanghai (63/870, 7.2%), and Sichuan Province (62/870, 7.1%) (Figure 1A). Using the cirA sequence of strain ATCC 13883 (accession no. CP040993.1) as the reference, we comprehensively analyzed the structural variation landscape, including amino acid substitutions, gene truncations, and insertion events. High-frequency amino acid substitutions were mainly observed at D558N (522/1,965, 26.6%), Y183W (198/1,965, 10.1%), T172A (94/1,965, 4.8%), V237I (82/1,965, 4.2%), and E81V (48/1,965, 2.4%). In contrast, truncation and insertion events leading to cirA inactivation were rare, with only 21 isolates identified (Supplementary Table 2), accounting for 1.1% of all isolates (Figure 1C).

Figure 1.

Six charts and one map showing global and Chinese cirA variant distribution in Klebsiella pneumoniae and related temporal and resistance data. The figure shows the worldwide distribution and mutation patterns of the cirA gene in Klebsiella pneumoniae. A large world map marks 60 countries with 1,965 long read isolates and includes an inset map of China highlighting 29 provinces. Below the map, five pie charts summarize cirA amino acid variant proportions for China with 870 isolates, America with 225 isolates, the United Kingdom with 81 isolates, Switzerland with 63 isolates, India with 68 isolates, and Australia with 120 isolates. Regions of each pie correspond to wild type, substitutions at positions D558N, Y183W, T172A, V237I, E81V, truncating mutations, and other changes, with labels giving percentages. To the right, two doughnut charts display overall cirA variant composition for all 1,965 isolates and for 480 local isolates, again separating wild type, common substitutions, truncations, and others with percentage labels. A pair of line graphs track yearly changes from 2002 to 2023: the left graph plots mutant proportion on the left y axis in percent and number of mutation types on the right y axis for global and China series; the right graph shows cumulative truncating mutation counts over time for global and China series. All data are approximate. A grouped bar chart compares plasmid counts among wild type, D558N, Y183W, T172A, V237I, E81V, truncating mutation, and other variants, with *s above groups indicating P less than 0.05, P less than 0.001, and P less than 0.0001. A final bar chart plots counts of isolates with truncated cirA versus other isolates across minimum inhibitory concentration to cefiderocol values on the x axis from 0.03 to 128 micrograms per milliliter. All data are approximate.

Global and local distribution and mutation landscape of the cirA gene in Klebsiella pneumoniae. (A) Geographic distribution of 1,965 third-generation sequenced K. pneumoniae isolates worldwide up to February 2024. (B) Pie charts showing the composition of cirA amino acid variants among the six countries with the largest sample sizes. (C) Overall distribution of cirA amino acid variants in global and local isolates. (D) Temporal changes in the overall proportions and diversity of cirA mutation types across different years globally and in China (left), and cumulative frequency of truncation mutations over time (right). (E) Plasmid burdens among strains carrying different cirA variants. *, P < 0.05; ***, P < 0.001; ****, P < 0.0001. (F) Comparison of FDC resistance levels between clinical isolates carrying truncated cirA and randomly selected non-truncated isolates.

Analysis of isolates with available collection dates showed that the proportion of isolates carrying cirA amino acid substitutions increased continuously after 2010, accompanied by progressively greater mutational diversity. Globally, truncation mutations became increasingly detectable after 2014, whereas in China, these mutations were mainly identified after 2018 (Figure 1D). In addition, the cirA variation landscape differed substantially across geographic regions. In Chinese isolates, the D558N substitution was predominant and occurred more frequently than the wild-type genotype (43.4% vs. 33.1%), whereas the wild-type genotype remained dominant in other major countries (Figure 1B). Notably, truncation mutations were identified only in isolates from China and the United Kingdom and showed a temporal accumulation trend.

Among 480 K. pneumoniae clinical isolates collected from multiple centres in Jiangxi, China, the cirA variation landscape was generally consistent with that of the global dataset. Amino acid substitutions remained the predominant form of variation, whereas loss-of-function mutations were rare, accounting for only 0.63% (3/480) of isolates (Figure 1C). Further analysis showed that certain cirA amino acid variants, including D558N and Y183W, were associated with significantly different plasmid burdens compared with the wild-type genotype in the global collection (P < 0.05) (Figure 1E), suggesting variant-dependent differences in plasmid carriage. In addition, clinical isolates carrying truncated cirA exhibited higher levels of FDC resistance than those of 120 randomly selected non-truncated isolates (Figure 1F).

To further investigate the distribution of cirA loss-of-function mutations in high-risk clones, a core genome phylogeny was constructed for ST11 strains (Supplementary Figure 1). Among 478 ST11 isolates, only four carried cirA loss-of-function-associated variants, including one gene interruption, two premature stop mutations, and one small-fragment deletion. All four isolates were recovered from clinical samples in China between 2012 and 2022. These strains were distributed across distinct phylogenetic branches rather than clustering within a single lineage, suggesting that cirA inactivation likely emerged independently multiple times within the ST11 background and was repeatedly maintained through host- and environment-associated selective forces rather than driven by clonal expansion. Further analysis showed that these isolates were associated with distinct resistance backgrounds, with some carrying carbapenemase genes such as blaKPC and blaNDM, suggesting that cirA inactivation may provide additional adaptive advantages in certain high-risk resistant lineages.

Characteristics of IS903B-mediated cirA inactivation in clinical ST11 CRKP isolates

Although phylogenetic analysis suggested that cirA inactivation represents a rare but convergently evolved event that emerged independently multiple times within high-risk ST11 clones, whether this event is associated with fitness-related phenotypic changes required further functional validation. During clinical surveillance in Jiangxi, China, multiple forms of cirA loss-of-function mutations were identified, including premature stop mutations and IS insertions. To further investigate their functional effects, the representative high-risk strain K2084 (ST11-KL64), carrying IS903B-mediated cirA inactivation together with blaKPC, blaNDM, and a virulence plasmid, was selected for in-depth functional analysis. A complete cirA deletion mutant (ΔcirA) was further constructed in the same genetic background as a loss-of-function control to compare the biological effects of different forms of cirA inactivation.

K2084 was isolated from peritoneal secretion specimens collected from a patient at a tertiary hospital in Jiangxi, China. The patient had underlying medical conditions, including diabetes mellitus, and received multiple antimicrobial therapies during hospitalization, including ampicillin/sulbactam, meropenem, tigecycline, and polymyxin, but ultimately died. Although the patient had not received FDC or ceftazidime/avibactam during hospitalization, antimicrobial susceptibility testing showed that K2084 exhibited high-level FDC resistance (MIC = 128 μg/mL) and a typical multidrug-resistant (MDR) phenotype. Genomic analysis showed that, apart from cirA, other major siderophore receptor genes, including fepA, fhuA, fhuE, and fiu, as well as efflux pump-associated genes, remained intact without detectable mutations. Although K2084 carried multiple virulence-associated genes and exhibited a high virulence score, no hypervirulent phenotype was observed (Supplementary Figure 2).

The cirA gene was interrupted by the insertion sequence IS903B and was accompanied by a 9-bp target site duplication (TSD; CCGATGTGA), consistent with a typical transposition event. Functional annotation of the approximately 20 kb genomic region surrounding cirA revealed enrichment of multiple insertion sequences and transposase-associated genes, indicating a mobile genetic element-rich region with high transposition activity. In K2084, in addition to the IS903B insertion within cirA, additional insertion sequences were identified upstream of the gene, further supporting elevated transposition activity in this region. Besides cirA, this locus also contained genes associated with the phosphotransferase system-mediated fructose transport system, the Mgl galactose/glucose ATP-binding cassette transport system, and core metabolic functions including DNA repair and folate biosynthesis (Figure 2A).

Figure 2.

Five visuals: one gene diagram, one genomic synteny diagram, one bar chart, one bar chart, and one set of four line graphs showing growth trends. The figure shows five related visuals summarizing genetic and phenotypic data for cirA. The first visual is a gene diagram with flanking Sanger sequencing traces at the top and bottom, showing an insertion sequence labeled IS903B within the cirA region, with short labeled segments marking the duplicated target site and the right and left inverted repeats. The second visual is a horizontal genomic synteny diagram for strains K2084, ATCC 13883, ST11 KL103, and ST11 KL64. Each strain is represented by a string of oriented gene arrows; an insertion in K2084 interrupts cirA, while the reference strains display a continuous layout. A grayscale bar at the side indicates sequence identity from 98 percent to 100 percent. The third visual is a vertical bar chart of relative cirA expression level. The x axis lists cirA::IS903B, pUC19 cirA, pUC19, delta cirA, WT 1, WT 2, and WT 3. The y axis is labeled relative expression level and runs from 0 to 10 with tick marks every 2 units. Bars for WT 1 to WT 3 are higher than the mutant or plasmid controls, and brackets above the groups show *s marking statistical comparisons. The fourth visual is a vertical bar chart labeled minimum inhibitory concentration of FDC in micrograms per milliliter. The x axis categories are untreated, AVI treated, and EDTA treated. The y axis runs from 0.128 to 128 on a stepped scale, and colored bars for cirA::IS903B, pUC19 cirA, delta cirA, and pUC19 show reduced minimum inhibitory concentration after AVI treatment and minimal change after EDTA treatment. The fifth visual is a set of four line graphs showing time kill curves for cirA::IS903B, pUC19 cirA, delta cirA, and pUC19. Each graph has time in hours on the x axis from 0 to 24 with 2 hour intervals and log base 10 colony forming units per milliliter on the y axis from 0 to 10 with 1 unit spacing. Within each graph, four lines compare control, FDC alone at 32 micrograms per milliliter or 4 micrograms per milliliter, AVI alone, and FDC + AVI. Control and single agent lines stay high or slowly increase, whereas the combination line rapidly declines to near the bottom of the plot. All data are approximate.

IS903B insertion mediates cirA inactivation. (A) Sanger sequencing identified the IS903B insertion site within the cirA gene. The target site duplication (TSD) generated by insertion is highlighted in red. TSD, target site duplication; IRR, right inverted repeat; IRL, left inverted repeat. (B) Synteny analysis of K2084, ATCC 13883, and ST11 strains showing the IS903B insertion site and mutation pattern. (C) RT-qPCR analysis of cirA expression levels. WT_1, WT_2, and WT_3 represent clinical isolates carrying intact cirA. *, P < 0.05; ****, P < 0.0001. (D) MIC determination and restoration of FDC susceptibility following β-lactamase inhibitor treatment. AVI, avibactam (4 μg/mL); EDTA, ethylenediaminetetraacetic acid (0.4 mM). (E) Time-kill curve analysis under monotherapy and combination treatment conditions. EDTA was not included in time-kill assays because of its limited clinical relevance as a therapeutic agent.

Phylogenetic analysis identified four ST11 strains carrying truncated cirA mutations, all belonging to the KL64 or KL103 capsular types. Synteny analysis of the cirA locus between K2084 and ST11 reference strains with different KL types (GCF_000240185.1 and GCF_038431215.1) showed that this region was highly conserved across the ST11 lineage, with major differences involving IS insertion patterns. No large-scale genomic rearrangements were observed in this region among different strains, and cirA inactivation in K2084 primarily resulted from a local insertion event (Figure 2B).

cirA inactivation cooperates with carbapenemases to drive high-level FDC resistance

To determine whether the contribution of cirA inactivation to FDC resistance was broadly conserved, we first observed at the clinical isolate level that strains carrying truncated cirA exhibited significantly higher FDC MICs than those of non-truncated isolates. Using the representative strain K2084 (cirA::IS903B) and its isogenic derivatives as models, RT-qPCR analysis showed that cirA expression was markedly reduced in both cirA::IS903B and the cirA deletion mutant (ΔcirA) compared with that in clinical wild-type isolates, whereas expression was significantly restored in the complemented strain pUC19-cirA (Figure 2C). A low-copy-number complementation system showed a similar trend. Antimicrobial susceptibility testing further demonstrated that both cirA::IS903B and ΔcirA exhibited high-level FDC resistance, whereas the MIC of pUC19-cirA decreased markedly to 8 μg/mL.

Combination susceptibility testing further revealed the contribution of β-lactamases to the resistance phenotype. Following the addition of avibactam, the MICs of both cirA::IS903B and ΔcirA decreased 16-fold to 8 μg/mL, whereas the MIC of pUC19-cirA decreased only 4-fold to 2 μg/mL. Inhibition of blaNDM-associated activity by the metal chelator EDTA further reduced the MICs of all strains, with the MICs of cirA::IS903B, ΔcirA, and the complemented strain decreasing to 0.5, 0.128, and 0.128 μg/mL, respectively (Figure 2D). These results indicate that β-lactamase activity further amplifies the level of FDC resistance in the background of cirA loss of function.

Time-kill assays showed that FDC alone exerted only limited inhibitory activity, whereas combination treatment with avibactam markedly reduced the bacterial burden, with sustained decreases over 24 h (≥2 log₁₀ CFU/mL) (Figure 2E), indicating significant bactericidal activity. These findings were consistent with the MIC results and further supported a cooperative effect between cirA loss of function and β-lactamase activity in mediating FDC resistance, while inhibition of β-lactamase activity substantially restored the bactericidal efficacy of FDC.

In contrast, the susceptibility profiles of cirA::IS903B, pUC19- cirA, and ΔcirA strains against other clinically relevant antimicrobial agents, including novel β-lactam/β-lactamase inhibitor combinations and other last-line agents, were comparable (Supplementary Table 3).

IS903B-mediated cirA inactivation enhances adaptation under iron-limited conditions and plasmid stability

Given the recurrent independent occurrence of cirA loss-of-function events in ST11 high-risk clones, we hypothesized that this event may confer a fitness advantage. To test this hypothesis, the representative strain K2084 (cirA::IS903B) and its isogenic derivatives were used to compare the physiological performance of cirA::IS903B, pUC19-cirA, and ΔcirA under different culture conditions.

In nutrient-rich LB medium, cirA::IS903B and pUC19-cirA showed no significant difference in growth, whereas ΔcirA grew more slowly during the first 12 h before subsequently exhibiting a higher growth rate. Under iron-limited conditions, cirA::IS903B exhibited faster growth, pUC19-cirA grew relatively slowly, and ΔcirA consistently showed the lowest growth rates (Figure 3A,B). Notably, although both cirA::IS903B and ΔcirA resulted in loss of cirA function, they exhibited markedly different growth phenotypes in ID-CAMHB.

Figure 3.

Eight visuals: five line graphs, two scatter plots, and one diagram comparing cirA mutant and control strains across time courses. The figure shows eight visuals labeled A to H that summarize growth, plasmid maintenance, colonization, fitness, and survival of cirA mutants and controls. The first visual is a line graph with hours on the horizontal axis from 0 to 24 and optical density at 540 nanometers on the vertical axis from 0.0 to about 1.5, comparing growth of strains in lysogeny broth; all curves rise and then level off by 24 hours. The second visual is a similar line graph for growth in iron depleted cation adjusted Mueller Hinton broth, where the curves separate, with one strain reaching the highest density and another remaining lowest. The third visual is a line graph with days 0 to 12 on the horizontal axis and plasmid stability in percent on the vertical axis from 0 to 100, showing mostly high stability except for a declining line in one medium. The fourth visual is a diagram of a mouse infection experiment: a mouse receives a bacterial dose, defecates, and samples move to a culture plate, with a timeline indicating sampling on days 0, 2, 4, 6, 13, and 28. The fifth visual is a line graph of relative fitness over 24, 48, and 72 hours, with values starting near 1.0 and gradually decreasing; a dashed horizontal line marks 1.0. The sixth visual is a scatter plot of fecal colony counts over days 2, 4, 6, 13, and 28 on a logarithmic vertical axis in colony forming units per gram, with a dashed horizontal detection limit near 5 times 10 to the power of 3; some groups show higher counts at early days. The seventh visual is a line graph of plasmid stability percent over days 0 to 28, with most lines remaining near 100 and one declining toward about 70. The eighth visual is a line graph of intracellular colony forming units per milliliter over 0 to 4 hours, where values dip at 0.5 hours and then rise again. All data are approximate.

Effects of cirA inactivation on bacterial fitness. (A–B) Growth curves of each strain in LB and ID-CAMHB. (C) Retention rates of resistance plasmids during 12-day serial passage in LB, ID-CAMHB, and under antibiotic selection. (D) Bacterial colonization load in the mouse long-term intestinal colonization model, with faecal samples collected on days 2, 4, 6, 13, and 28. (E) Time-course changes in relative fitness (RF) of strains under different culture conditions in in vitro competition assays. (F) Colony counts of strains recovered from mouse faeces. The dashed line indicates the detection limit (5 × 10³ c.f.u./g). *, P < 0.05; **, P < 0.01. (G) Plasmid stability of resistant isolates recovered from mouse faeces. (H) Intracellular survival of different strains in RAW 264.7 macrophages.

Plasmid stability assays showed that after 14 days of serial passage in the absence of antibiotic pressure, the retention rate of resistance plasmids in cirA::IS903B was significantly higher than that in pUC19-cirA (92.5% vs. 43% in LB, 80.3% vs. 49.3% in ID-CAMHB) and was comparable to that in ΔcirA (Figure 3C). Under antibiotic selection, differences among strains were abolished, indicating that cirA inactivation may promote the long-term maintenance of resistance plasmids under non-selective conditions. In addition, competition experiments (Figure 3E) showed that the relative fitness (RF) of pUC19-cirA compared with cirA::IS903B and ΔcirA gradually declined over time in both LB and ID-CAMHB, with RF values consistently below 1, indicating a fitness cost. This trend was more pronounced under iron-limited conditions, suggesting that cirA expression may impose a physiological burden in iron-restricted environments. No significant differences in virulence were observed among the strains (Supplementary Figure 2), and the conjugation efficiency of resistance plasmids remained unchanged.

IS903B-mediated cirA inactivation enhances early intestinal colonization and intracellular survival

To evaluate the effect of cirA status on in vivo colonization, a long-term mouse intestinal colonization model was established, and faecal samples were collected on days 2, 4, 6, 13, and 28 post-inoculation to measure K. pneumoniae colonization loads (Figure 3D). As shown in Figure 3F, colonization levels during the early stage of infection ranged from 10⁵ to 10⁸ c.f.u./g. cirA::IS903B exhibited significantly higher colonization loads than those of pUC19-cirA and ΔcirA on days 2, 4, and 6. However, by days 13 and 28, colonization levels had declined markedly in all groups, and differences among strains were no longer significant, indicating that the colonization advantage conferred by cirA::IS903B was primarily observed during the early stage of infection. This early colonization advantage may facilitate the initial establishment of infection and enhance transmission potential within the host.

In addition, analysis of plasmid stability in isolates recovered from mouse faeces (Figure 3G) showed that, under non-selective conditions, plasmid retention rates in cirA::IS903B and ΔcirA were higher than those in the complemented strain pUC19-cirA, consistent with the in vitro plasmid stability results. These findings further support the conclusion that cirA inactivation facilitates the maintenance of resistance plasmids.

To further investigate the role of cirA in pathogen–host interactions, intracellular survival assays were performed using RAW 264.7 macrophages (Figure 3H). Intracellular bacterial burdens of all strains decreased markedly during the early stage of infection (0–1 h), followed by varying degrees of recovery. ΔcirA exhibited the strongest intracellular survival capacity, with bacterial counts continuously increasing after 1 h and reaching approximately 1.8 times the initial level at 4 h. In contrast, the complemented strain pUC19-cirA showed the weakest intracellular survival, recovering to only 22% of the initial level at 4 h. cirA::IS903B and the empty-vector control pUC19 showed gradual recovery after the initial decline, with intracellular burdens returning to near-baseline levels by 4 h. Notably, cirA::IS903B and ΔcirA displayed distinct intracellular survival patterns, suggesting that different forms of cirA inactivation exert differential effects on intracellular adaptation within host cells.

RNA-seq reveals distinct transcriptional effects associated with different forms of cirA inactivation

Transcriptomic sequencing was performed for cirA::IS903B, pUC19-cirA, and ΔcirA under both LB and ID-CAMHB conditions.

Transcriptomic comparison of pUC19-cirA and cirA::IS903B in ID-CAMHB identified 73 upregulated and 71 downregulated genes. Differentially expressed genes were mainly enriched in oxidation–reduction processes and transmembrane transport-related functional categories. Among these genes, iron acquisition-associated genes, including ybtE, ybtU, ybtT, and iutA, were significantly downregulated. In addition, multiple genes involved in central metabolism and transport showed downregulation trends, including lldD, which encodes an FMN-dependent lactate dehydrogenase, NADH redox-associated genes, and the autoinducer-2 (AI-2) transport system genes lsrABCD, together with its regulatory factor lsrR.

KEGG pathway enrichment analysis further identified sulphur metabolism (rich factor = 0.44, adjusted P = 0.0022) and arginine/proline metabolism (rich factor = 0.22, adjusted P = 0.0003) as significantly enriched pathways. In the complemented strain, genes involved in sulphate uptake and assimilation, including cysA/C/D/G/N/K/P, were significantly downregulated. These genes are associated with Fe-S cluster biosynthesis, and the suf gene cluster involved in Fe-S cluster assembly and delivery also showed a downregulation trend. RT-qPCR analysis of sufS and sufD further supported this expression pattern (Figure 4E). In addition, genes associated with arginine/proline metabolism, including astA/B/C/D/E, also exhibited downregulation trends (Figure 4A).

Figure 4.

Three grouped visuals with plasmid diagrams, heatmaps, enrichment scatter plots and volcano plots plus one pathway diagram and two bar charts. The figure shows multiple graphics comparing transcriptomic profiles for pUC19 cirA, cirA::IS903B, and delta cirA strains under iron limited conditions. On the top left of the layout, 3 circular plasmid diagrams summarize each comparison, with numbers of upregulated and downregulated genes written beside vertical arrows. Next to each set of plasmid diagrams, a rectangular heatmap shows gene expression values as a gradient scale from lower to higher expression across the 3 genotypes. To the right of each heatmap, a dot scatter chart displays Kyoto Encyclopedia of Genes and Genomes pathway enrichment, with the x axis labeled RichFactor and the y axis labeled Pathway. Dot size varies with gene count and dot shading represents adjusted P value. On the far right of each row, a volcano scatter plot has the x axis labeled log2 fold change and the y axis labeled minus log10 P value, with vertical and horizontal threshold lines and several genes such as cysD, cysN, sufS, and sufD annotated. At the lower left, a pathway diagram outlines sulphate assimilation steps and the SUF iron sulfur cluster system, listing cysA, cysC, cysD, cysG, cysN, cysK, cysP, sufS, sufD, sufB, sufC, sufE, sufU, and downstream iron sulfur proteins. At the lower right, 2 grouped bar charts show relative expression levels of sufS and sufD in pUC19 cirA, cirA::IS903B, and delta cirA under iron depleted cation adjusted Mueller Hinton broth and Luria Bertani conditions, with asterisks indicating P less than 0.05, P less than 0.01, and P less than 0.0001. All data are approximate.

Transcriptomic differences associated with IS903B insertion and cirA deletion under iron-limited conditions. (A–C) Heatmaps, KEGG enrichment analyses, and volcano plots of differentially expressed genes under iron-limited conditions for comparisons between pUC19-cirA and cirA::IS903B, ΔcirA and pUC19-cirA, and ΔcirA and cirA::IS903B, respectively. (D) Expression changes of genes involved in assimilatory sulphate reduction and Fe-S cluster biosynthesis in cirA::IS903B and ΔcirA relative to pUC19-cirA under ID-CAMHB and LB conditions. (E) Relative expression levels of sufS and sufD in pUC19-cirA, cirA::IS903B, and ΔcirA. *, P < 0.05; **, P < 0.01; ****, P < 0.0001. Functional clustering of differentially expressed genes suggested potential involvement of Fe-S-associated metabolic pathways, although the underlying mechanisms require further investigation.

In ID-CAMHB, comparison of ΔcirA with pUC19-cirA identified 463 upregulated and 729 downregulated genes. Fe-S-associated genes were significantly upregulated in ΔcirA, including the Fe-S cluster scaffold protein gene iscU, the chaperone protein gene hscB, the accessory factor gene cyaY, and the gene encoding the iron starvation-associated electron carrier flavodoxin (Figure 4B). In parallel, multiple siderophore-mediated iron acquisition systems, including fyuA, ybtP, iucC, iutA, entC, and fepA, were upregulated, suggesting enhanced iron uptake under iron-restricted conditions. KEGG enrichment analysis identified tyrosine metabolism as the most significantly enriched pathway (rich factor = 0.49, adjusted P = 0.039). In addition, several genes associated with energy metabolism, ATP-binding cassette transport, and quorum sensing, including lsrA, bcsB, and ecpA, showed upregulation trends in ΔcirA. Expression of plasmid maintenance-associated genes, including hipA, vapC, and mukB, was also increased.

To further compare the transcriptional responses associated with different forms of cirA inactivation, cirA::IS903B and ΔcirA were directly compared (Figure 4C). In ID-CAMHB, Fe-S cluster assembly-associated genes, including iscU, showed higher expression levels in ΔcirA than in the IS insertion strain, whereas several sulphur metabolism-associated genes, including members of the cys family, exhibited distinct expression patterns between the two mutant backgrounds, suggesting differential regulation of Fe-S-associated and related metabolic pathways. Notably, further analysis of genes within the 20-kb region upstream and downstream of the cirA locus revealed no consistent local transcriptional alterations in cirA::IS903B compared with the complemented strain pUC19-cirA. These findings suggest that the observed global transcriptional differences are unlikely to result from simple local cis-regulatory effects on neighbouring genes.

Taken together, cirA::IS903B and ΔcirA exhibited distinct transcriptional profiles related to Fe-S-associated and iron acquisition systems in ID-CAMHB, suggesting that different forms of cirA inactivation may be associated with distinct metabolic states and adaptive outputs. These transcriptional differences were not evident under LB conditions or in the empty-vector control background (Supplementary Figure 3).

Consistent with the transcriptomic analysis identifying sufS as a candidate mediator of the adaptive response to iron limitation, deletion of sufS in the K2084 (cirA::IS903B) background significantly impaired the iron-limitation-associated adaptive phenotypes. Compared with the parental cirA::IS903B strain, the ΔsufS mutant exhibited reduced growth in iron-depleted medium, reduced resistance plasmid stability, and diminished competitive fitness under iron-limited conditions. Complementation of sufS restored these phenotypes to levels comparable to those of the parental strain (Figure 5A–C). These results indicate that sufS plays an important role in maintaining the adaptive advantages conferred by IS903B-mediated cirA inactivation under iron-limited conditions.

Figure 5.

Three line graphs comparing cirA::IS903B, sufS mutants, and complemented strains for growth, plasmid stability, and relative fitness. The figure shows three line graphs labeled A, B, and C, each comparing cirA inactivated by insertion sequence 903B, sufS deletion, and sufS complemented strains. The first line graph plots optical density at 540 nanometers in iron depleted cation adjusted Mueller Hinton broth on the vertical axis from 0.0 to 1.0 in 0.2 steps against time in hours on the horizontal axis from 0 to 24 in 4 hour steps. Multiple strain traces start near 0.05 optical density, rise gradually, and separate into higher and lower growth groups by 24 hours. The second line graph shows plasmid stability on the vertical axis from 0 to 100 in 20 unit steps versus days on the horizontal axis from 0 to 12 in 2 day steps. All strains start near 100 percent plasmid retention at day 0; some traces remain closer to 100, while others steadily decline toward about 40 to 50 by day 12. The third line graph displays relative fitness on the vertical axis from 0.0 to 1.5 in 0.5 steps versus time in hours on the horizontal axis from 24 to 72 in 24 hour steps. A dashed horizontal line marks relative fitness equal to 1.0. Traces for the compared strains lie below this line and show modest decreases or near stable values over time. Strain names in the keys include cirA::IS903B, pUC19 cirA, sufS deletion, pUC19 sufS, cirA::IS903B pUC19, and sufS deletion pUC19. All data are approximate.

Genetic validation of SufS-mediated contribution to iron-limitation-associated adaptation in the cirA::IS903B background. (A) Growth curves of the cirA::IS903B strain, the ΔsufS mutant, and the corresponding sufS-complemented strain in iron-depleted ID-CAMHB medium. (B) Resistance plasmid stability of the indicated strains. (C) Competitive fitness of the indicated strains under iron-limited conditions. The ΔsufS mutant and its corresponding complemented strain (pUC19-sufS) were constructed in the K2084 background, while empty-vector controls (cirA::IS903B-pUC19 and ΔsufS-pUC19) were included as indicated.

IS903B-mediated cirA inactivation is associated with enhanced antioxidant capacity

Transcriptomic analysis showed that, in ID-CAMHB, Fe-S-associated metabolic pathways and related genes were generally downregulated in the complemented strain relative to cirA::IS903B. Previous studies have shown that iron limitation can affect Fe-S-associated metabolism and can be accompanied by alterations in cellular oxidative stress status [28,29], whereas the assimilatory sulphate reduction pathway participates in redox balance and stress adaptation. In parallel, several sulphur metabolism-associated genes, including cysND, cysC, and cysI, exhibited marked expression changes (Figure 4D), suggesting distinct oxidative stress response features among strains with different cirA states. Based on these findings, aconitase activity under iron-limited conditions was further evaluated among different strains. As shown in Figure 6A, cirA::IS903B exhibited the highest aconitase activity (0.24 ± 0.01), whereas aconitase activity was significantly reduced in the complemented strain (0.11 ± 0.01). In contrast, both ΔcirA and the empty-vector control pUC19 maintained relatively high aconitase activity.

Figure 6.

Five charts showing cirA::IS903B, pUC19 cirA, delta cirA, and pUC19 comparisons for aconitase, ABTS, SOD, ROS, and growth trends. The figure shows five charts comparing cirA::IS903B, pUC19 cirA, delta cirA, and pUC19 under stress conditions. The first chart is a bar chart with x axis strain and y axis aconitase activity in delta absorbance at 340 nanometers from 0.0 to 0.4 at 0.1 intervals; cirA::IS903B is near 0.24, pUC19 cirA near 0.12, delta cirA near 0.22, and pUC19 near 0.22. The second chart is a bar chart with x axis strain and y axis 2,2 azino bis 3 ethylbenzothiazoline 6 sulfonic acid radical scavenging rate in percent from 0 to 100 at 20 intervals; cirA::IS903B is about 60, pUC19 cirA about 45, delta cirA about 40, and pUC19 about 55. The third chart is a bar chart with x axis strain and y axis superoxide dismutase activity in unit per milligram protein from 0 to 3 at 1 intervals; cirA::IS903B and pUC19 are slightly above 2, pUC19 cirA is about 1.6, and delta cirA is about 0.7. The fourth chart is a bar chart with x axis strain and y axis reactive oxygen species in 1 millimolar hydrogen peroxide from 0 to 10 at 2 intervals; delta cirA is about 8, pUC19 cirA about 6, cirA::IS903B about 4, and pUC19 about 4. The fifth chart is a line graph with x axis time in hours from 0 to 24 and y axis optical density at 540 in iron depleted cation adjusted Mueller Hinton broth from 0.0 to 0.8 at 0.2 intervals, showing growth curves for each strain with and without 0.5 millimolar hydrogen peroxide; all curves rise over time, and strains in hydrogen peroxide grow more slowly. All data are approximate.

Metabolic and oxidative stress-associated phenotypes related to cirA inactivation. (A) Aconitase activity of different strains under iron-limited conditions. (B) Comparison of ABTS radical scavenging activity. (C) SOD activity assay. (D) ROS levels of different strains under 1 mM H₂O₂ treatment. (E) Growth curves of different strains in ID-CAMHB supplemented with 0.5 mM H₂O₂. **, P < 0.01; ***, P < 0.001; ****, P < 0.0001.

Oxidative stress-associated phenotypes were subsequently evaluated among strains carrying different cirA states. 2,2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging assays showed that restoration of cirA reduced the overall antioxidant capacity relative to the wild-type strain (P < 0.05), whereas a more pronounced reduction was observed in ΔcirA (P < 0.001) (Figure 6B). Consistently, superoxide dismutase (SOD) activity decreased in the complemented strain (1.55 ± 0.28 vs 2.16 ± 0.20) and was further reduced in ΔcirA (0.54 ± 0.08 vs 2.16 ± 0.20) (Figure 6C). Under 1 mM H₂O₂ treatment, intracellular reactive oxygen species (ROS) levels were significantly increased in both pUC19-cirA (5.09 ± 0.15 vs 4.35 ± 0.17) and ΔcirA (8.03 ± 0.39 vs 4.35 ± 0.17) (Figure 6D). Similarly, under 0.5 mM H₂O₂ treatment, the growth rates of pUC19-cirA and ΔcirA were markedly lower than those of the control strain (Figure 6E). These findings indicate that strains carrying different cirA states exhibit distinct antioxidant capacities and oxidative stress response phenotypes.

To further validate the phenotypes associated with cirA::IS903B, cirA::IS903B derivatives were constructed by replacing the endogenous cirA in ST11 clinical isolates carrying blaKPC or blaNDM, followed by growth competition assays under iron-limited conditions. The constructed strains similarly exhibited growth competition advantages in ID-CAMHB (Supplementary Figure 4), generally consistent with the iron-limited adaptation trend observed in the K2084 background.

Discussion

As an important last-resort agent against CRKP [30], resistance to FDC is of particular concern. However, whether resistance-associated mutations simultaneously affect bacterial adaptation within host environments remains unclear. By integrating global genomic analysis with functional experiments, this study demonstrated that IS903B-mediated cirA inactivation not only confers high-level FDC resistance but is also associated with enhanced growth competition under iron-limited conditions, increased resistance plasmid stability, and improved host-associated survival, without marked changes in virulence or plasmid conjugation ability. These findings suggest that certain last-resort resistance mechanisms may persist without imposing substantial fitness costs, thereby increasing the risk of long-term maintenance and dissemination of high-risk CRKP clones.

CirA is an iron transport-associated receptor, and its loss of function has been shown to reduce FDC susceptibility and to be associated with NDM production [14,17,31]. Based on analysis of NCBI genomes, this study found that cirA loss-of-function mutations were more frequently detected in strains carrying blaKPC or blaNDM, suggesting that highly resistant genetic backgrounds may impose synergistic selective pressure on their evolution. Although global cirA variation was predominantly characterized by amino acid substitutions and loss-of-function mutations remained relatively rare overall, these mutations showed a temporal accumulation trend among isolates from China and emerged independently multiple times across distinct ST11 phylogenetic branches. This convergent evolutionary pattern suggests that, in highly resistant genetic backgrounds carrying blaKPC/blaNDM, cirA inactivation may be more readily generated and retained. Previous studies have shown that inhibition of NDM activity reduces the emergence of cirA mutations [32], further supporting the selective role of resistance gene backgrounds in their evolution. Collectively, cirA inactivation may represent an adaptive evolutionary pathway repeatedly selected under specific selective pressures, such as iron-limited environments, rather than being driven by the expansion of a single clone.

Unlike previous studies that primarily focused on the epidemiological distribution and mutational characteristics of defective CirA [33], this study further compared the fitness phenotypes and transcriptional responses associated with different forms of cirA inactivation, suggesting that distinct mechanisms of cirA loss of function may result in different biological consequences. In functional experiments, both K2084 (cirA::IS903B) and ΔcirA, in which the entire IS903B-cirA region was deleted, exhibited reduced cirA transcription and FDC resistance, but displayed markedly different adaptive phenotypes. Notably, neither strain exhibited detectable collateral sensitivity to other clinically relevant antimicrobial agents. ΔcirA showed impaired growth under iron-limited conditions, consistent with previous reports [15,34]. In contrast, cirA::IS903B exhibited enhanced growth and adaptive capacity. As ΔcirA lacked both IS903B and cirA, whereas K2084 retained IS903B despite cirA inactivation, these findings suggest that the presence of IS903B within the cirA-inactivated background may be associated with adaptive features distinct from those of ΔcirA. In addition, cirA::IS903B derivatives constructed in multiple independent ST11 clinical isolates similarly exhibited growth competition advantages under iron-limited conditions, further suggesting that this phenotype may not be restricted to a single strain background.

Iron-sulphur (Fe-S) clusters play critical roles in redox reactions and gene regulation [35,36]. In this study, aconitase, an Fe-S-dependent enzyme, exhibited the highest activity in the IS903B-mediated cirA-inactivated strain under iron-limited conditions, whereas its activity was significantly reduced following cirA complementation [37]. These findings functionally support the presence of distinct Fe-S-associated metabolic features among strains with different cirA states. In addition, deletion of sufS in the cirA::IS903B background attenuated the associated adaptive phenotypes, further suggesting a potential contribution of Fe-S-associated metabolism to this adaptive state. Previous studies have linked the Suf system to bacterial intestinal colonization and intracellular survival [38,39]. Consistent with these observations, cirA::IS903B exhibited enhanced early intestinal colonization and macrophage intracellular survival. In addition, Fe-S-associated proteins are closely linked to cellular redox homeostasis [40–42]. Downregulation of Fe-S-associated genes in the complemented strain was accompanied by increased ROS levels, suggesting that different forms of cirA inactivation may be associated with distinct oxidative stress adaptation phenotypes. Notably, the Fe-S-associated transcriptional profile of ΔcirA under iron-limited conditions was not fully consistent with that of cirA::IS903B, further indicating that different forms of cirA inactivation may involve distinct metabolic adaptation states. Overall, the adaptive advantages and enhanced plasmid stability observed in cirA::IS903B may facilitate the persistence of related strains in both host and clinical environments.

This study still has several limitations. Functional analyses were primarily based on isogenic strain construction and cirA::IS903B derivatives generated in multiple ST11 backgrounds, which facilitated comparison of phenotypic differences associated with distinct forms of cirA inactivation, but did not encompass other sequence types or cirA variants mediated by different IS elements. In addition, the specific regulatory mechanisms linking Fe-S-associated metabolic alterations with the adaptive phenotypes observed in cirA::IS903B remain incompletely understood and require further validation through integrated multi-omics approaches.

Taken together, although both cirA::IS903B and ΔcirA resulted in cirA loss of function, the two strains exhibited distinct adaptive phenotypes under iron-limited conditions, suggesting that certain last-resort resistance mechanisms may not impose substantial fitness costs. Notably, the representative strain investigated in this study already exhibited high-level FDC resistance despite the absence of prior FDC exposure in the patient, indicating that such resistance-associated mutations may emerge and be retained without direct antibiotic selection. With the increasing clinical use of FDC, continued surveillance of these high-risk CRKP clones is warranted. The adaptive advantages and enhanced plasmid stability associated with cirA::IS903B may further facilitate the persistence of resistant strains in both host and clinical environments, thereby increasing the difficulty of eradication and antimicrobial treatment. Incorporating assessment of cirA integrity and IS insertion status into CRKP genomic surveillance may aid in the early identification of FDC-resistant clones with dissemination potential.

Supplementary Material

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Supplementary.docx

Funding Statement

This work was supported by The National Natural Science Foundation of China [grant number 82102411, 82260403, and 32370195]; the Jiangxi Provincial Youth Science Foundation (Category A) [grant number 20252BAC220054]; and The Clinical Research Nurture Project of the First Affiliated Hospital of Nanchang University [grant number YFYLCYJPY202201].

Disclosure statement

No potential conflict of interest was reported by the author(s).

Ethical approval

Any personally identifiable information was removed from this study. This study protocol was approved by the Ethics Committee of the First Affiliated Hospital of Nanchang University. The ethics approval number is CDYFY-IACUC-202512GR047.

Data availability statement

Complete sequences of the K. pneumoniae isolate has been deposited on NCBI with BioProject no. SAMN52642892.

Supplemental Material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/22221751.2026.2736341.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S2.tif
TEMI_A_2736341_SM5754.tif (235.1KB, tif)
S3.tif
S4.tif
Graphical Abstract.tif
S1.tif
Supplementary.docx

Data Availability Statement

Complete sequences of the K. pneumoniae isolate has been deposited on NCBI with BioProject no. SAMN52642892.


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