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The Antimicrobial Peptide CRAMP-34 Eradicates Escherichia coli Biofilms by Interfering with the kduD-Dependent Network

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19 December 2025

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19 December 2025

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Abstract

Background/Objectives: Bacterial biofilms formed by Escherichia coli pose a significant challenge in veterinary medicine due to their intrinsic resistance to antibiotics. Antimicrobial peptides (AMPs) represent a promising alternative. AMPs exert their bactericidal activity by binding to negatively charged phospholipids in bacterial membranes via electrostatic interactions, leading to membrane disruption and rapid cell lysis. Methods: In vitro assays included MIC determination, biofilm eradication testing (crystal violet, colony counts, CLSM), swimming motility, and EPS quantification. CRISPR/Cas9 was used to construct and complement a kduD mutant. A transposon mutagenesis library was screened for biofilm-defective mutants. In vivo, a murine excisional wound infection model was treated with CRAMP-34, with wound closure and bacterial burden monitored. Gene expression changes were analyzed via RT-qPCR. Results: The mouse-derived AMP (abbreviation CRAMP-34) effectively eradicates pre-formed biofilms of a clinically relevant, porcine-origin E.coli strain and promotes wound healing in a murine infection model. We conducted a genome-wide transposon mutagenesis screen, which identified kduD, as a critical gene for robust biofilm formation. Functional characterization revealed that kduD deletion drastically impairs flagellar motility and alters exopolysaccharide production, leading to defective biofilm architecture without affecting growth. Notably, the anti-biofilm activity of CRAMP-34 phenocopied aspects of the kduD deletion, including motility inhibition and transcriptional repression of a common set of biofilm-related genes. Conclusions: The research highlight CRAMP-34 as a potent anti-biofilm agent and unveil kduD as a previously unrecognized regulator of E.coli biofilms development, whose associated pathway is implicated in the mechanism of action of CRAMP-34.

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1. Introduction

Escherichia coli (E. coli) causes persistent diarrhea and antimicrobial resistance due to its propensity to form aggressive and dense bacterial biofilms [1]. The bacteria in biofilms secrete various components, such as extracellular polymeric substances (EPS), that cause bacterial accumulation with multiple layers and protect the embedded cells against antimicrobial agents and host immune defense, prompting biofilm-associated infections (BAI) [2]. Previous studies have reported that the tolerance of biofilms to various antibiotics is 10–1000 times greater than that of planktonic cells [3].The life cycle of biofilms includes the following stages: reversible/irreversible adhesion, formation, maturation, and dispersion. In the initial attachment, flagella and fimbriae facilitate mechanical attachment to the surface. With increasing cell density, the autoinducer concentration reaches a threshold, and the autoinducer/regulatory protein (the receptor) complex induces or represses the expression of target genes [4]. Pili-mediated twitching motility and a high concentration of cyclic diguanylic acid (c-di-GMP) enable the attached cells to aggregate to form microcolonies within self-produced EPS, thereby ensuring the adherence of the bacteria to the surface of a thickly complex bio-molecular layer [5]. The fully matured biofilms have a typical three-dimensional mushroom-like structure. This formulates a highly structured biofilms that is difficult to eradicate.
They have shown that genes directly involved in the biofilms formation of E.coli include synthetic operon pgaABCD for Poly-β-1,6-N-acetyl-d-glucosamine (poly-β-1,6-GlcNAc; PGA), glycogen synthesis operon glgCAP, autoaggregation adhesin Artigen 43, gene wza for synthesizing multimeric outer membrane protein complex, the operons bcsABZC and bcsEFG encoding cellulose synthase complex, and operons csgBAC and csgDEFG for the curli fimbriae protein synthesis and assembly [6,7,8]. Another study showed that more than 60 genes are directly involved in the regulation of E.coli biofilms formation via signal transduction pathways, such as quorum sensing (QS) system, second messenger c-di-GMP system, two-component regulatory system (TCS), transcription regulatory proteins, and non-coding small RNAs(sRNAs) [9,10,11]. Nonetheless, whether there are new regulatory genes in E.coli biofilms formation is yet to be investigated.
Our studies have shown that the mouse cathelicidins related antimicrobial peptide (abbreviation CRAMP-34) inhibits biofilms formation and eradicates the mature biofilms in the biofilms model strain Pseudomonas aeruginosa [12]. However, whether CRAMP-34 has the same inhibitory effect on E.coli biofilms is yet to be clarified. In addition, the key regulatory genes for biofilms formation and maturation in E.coli also need to be explored further. Therefore, the current study focused on a strain of E.coli isolated from a porcine source with strong biofilms formation ability carrying the mobilized colistin resistance (mcr) gene.
Despite the well-characterized roles of operons such as bcsABZC and csgDEFG in biofilms formation, the complete genetic network regulating this process in E.coli remains incompletely understood. To systematically identify novel regulators, we employed a functional screen using transposon mutagenesis. This approach, combined with subsequent CRISPR/Cas9-mediated validation, led to the identification of an unreported key gene, kduD, encoding 2-dehydro-3-deoxy-D-gluconate 5-dehydrogenase (KduD), as a critical regulator of biofilms formation in this strain. Furthermore, given the central role of KduD, we investigated its potential as a target for anti-biofilm agents and specifically evaluated whether it mediates the anti-biofilm effect of the antimicrobial peptide CRAMP-34.

2. Results

2.1. CRAMP-34 Demonstrates Potent Biofilm-Eradicating Activity and Promotes Wound Healing In Vivo

Different concentrations of CRAMP-34 were used on 1-day-old preformed biofilms, ciprofloxacin (CIP) and human antibacterial peptide LL-37 were used as controls. The MIC values of CRAMP-34 and LL-37 were 7.8125 μg/mL and 15.625 μg/mL, respectively, and that of CIP is 0.015625 μg/mL. The results of crystal violet staining showed that CRAMP-34 and CIP significantly reduce the biomass of Ec032 biofilms at the concentration of 4× MIC–64× MIC. However, CRAMP-34 exerted a significant effect on reducing the biomass of Ec032 biofilms at 16× MIC with a rate of 92.95% (Figure 1 A). The results of the colony counting assay showed that CRAMP-34 killed more biofilms than LL-37 and CIP, and the biofilms decreased by 2.76 log values with a killing rate of 99.83% at 16× MIC (Figure 1 B).
To visualize the anti-biofilm activity of CRAMP-34, SYTO 9 (living) and propidium iodide (PI) (dead) staining was performed under the CLSM. As shown in Figure 1 C–F, the CRAMP-34 intervention group biofilms were significantly reduced compared to Ec032. The results showed that CRAMP-34 remarkedly reduced Ec032 biofilms at a concentration of 125 µg/mL, decreasing the number (75.90%), volume (97.69%), and base area (8.69%) (Figure 1 H–I). Furthermore, the fluorescence intensity of SYTO 9 and PI bacteria decreased by 89.11% and 92.28%, respectively (Figure 1 J). In addition, the ratio of fluorescence intensity of SYTO 9 and PI per unit base area of biofilms decreased by 88.09% (P<0.01) and 91.63% (P<0.01), respectively (Figure 1 K), and the ratio of fluorescence intensity of SYTO 9 and PI per unit volume of biofilms increased by 77.68% (P<0.01) and 70.91% (P<0.01), respectively (Figure 1 L).
The wound of each group of mice was photographed regularly to observe the healing process. As shown in Figure 1 M, compared with the PBS group,the wound healing rate in the CRAMP-34 treatment group was significantly accelerated, and the wound area was significantly reduced. Residual bacteria at the wound site were sampled daily and counted by the plate method. Compared with the PBS group, the number of bacterial colonies in the CRAMP-34 treatment group was significantly reduced (Figure 1 N), and the relative wound closure rate was increasingly smaller, both with significant differences, which further verified the antibacterial effect of CRAMP-34 (Figure 1 O). In summary, CRAMP-34 significantly promoted the healing of wounds caused by E.coli.

2.2. A Genome-Wide Screen Identifies kduD as a Novel Gene Essential for Robust Biofilm Formation

A random mariner transposon mutagenesis library of Ec032, comprising 141,667 mutants, was constructed to identify genes involved in biofilms formation. From this library, 25 independent mutants exhibiting a pronounced reduction in biofilms were isolated (Figure 2 A). Subsequent phenotypic characterization via the Congo red assay revealed that these mutants collectively displayed a loss of colony wrinkling, a transition to a smoother morphology, and diminished pigmentation compared to the wild-type Ec032 and an empty vector control strain (Ec032Δ) (Figure 2 B). ERIC-PCR analysis confirmed that all 25 strains were genuine transposon mutants, ruling out contamination (Figure 2 C). Whole-genome sequencing and comparative analysis pinpointed the transposon insertion site in all mutants to a single specific locus, which we designated as kduD (Figure 2 D).
To definitively establish the role of kduD in biofilms formation, an in-frame deletion mutant (Ec032ΔkduD) was generated using the CRISPR/Cas9 system (Figure 2 E), with its identity verified by Sanger sequencing and electrophoretic analysis (Figure 2 F-G). The deletion of kduD had no discernible impact on bacterial growth kinetics (Figure 2 H). However, quantitative assessment of biofilms formation using crystal violet staining demonstrated a significant impairment in the Ec032ΔkduD mutant across multiple time points. The most severe defect, a reduction of 60.13%, was observed at 9 h. This phenotype was successfully complemented, as biofilms formation were restored to near wild-type levels when the mutant was transformed with a plasmid carrying the kduD gene (pBAD24-kduD) (Figure 2 I).
Further analysis using the Congo red-binding assay indicated that the deletion of kduD did not abolish the production of curli fimbriae and cellulose, key biofilm matrix components, and the colony morphology of the defined mutant was distinct from the initial transposon mutants (Figure 2 J). Intriguingly, quantification of EPS revealed a significant increase in EPS production in the Ec032ΔkduD mutant at equivalent bacterial densities (Figure 2 K).These results demonstrated that kduD plays a critical role in mediating biofilms formation.
Collectively, these findings demonstrate that kduD is a key regulator of biofilm development in Ec032, likely through a mechanism involving the modulation of EPS production.

2.3. kduD Regulates Biofilm by Modulating Flagellar Motility and EPS Production

Swimming and twitching motility assays were used to investigate the flagella and pili movement of biofilms. The results showed that the swimming motility of planktonic and biofilms cells in Ec032ΔkduD was decreased by 46.43% and 77.46% (Figure 3 A), and the twitching motility was decreased by 32.50% and 36.17%, respectively (Figure 3 B). These results suggested that kduD mediates the formation of E.coli biofilms by regulating motility.
CLSM was utilized to observe the effect of kduD deletion on biofilms formation. As shown in Figure 2C–F, Ec032ΔkduD biofilms were significantly reduced compared to Ec032. In addition, Ec032ΔkduD could not affect the number and base area (Figure 3 G-H), but significantly reduced the volume and cube surface of biofilms (Figure 3 I-J).
We found that the mRNA expression levels of the biofilm-related genes in Ec032ΔkduD were upregulated compared to Ec032, as assessed by RT-qPCR. These biofilm-related genes included flagella-related genes (fliE, fliA, motA, motB, and ycgR) (Figure 4 A), adhesion-related genes (csgD and bcsA) (Figure 4 B), QS-related genes (luxS, lsrK, qseC, and qseB) (Figure 4 C), TCS-related genes (phoP, rcsA, rcsB and cpxR) (Figure 4 C), and kduD-related genes (uxaA, uxuA, yqeF, araE and ygeA) (Figure 4 D). These results demonstrated that kduD plays a critical role in mediating biofilms formation.
Moreover, the mRNA expression levels of biofilm-related genes in CRAMP-34-treated Ec032 and Ec032ΔkduD by RT-qPCR. The results showed that the mRNA levels of the related genes, such as flagella-related genes (flhD, flhC, fliE, fliA, motA, motB, and ycgR) (Figure 4 A), adhesion-related genes (csgD and bcsA, except fimA and papG) (Figure 4 B), QS-related genes (luxS, lsrK, qsEc, and qseB) (Figure 4 C), TCS-related genes (phoP, phoQ, basR, rcsA and rcsB, except basS and cpxR) (Figure 4 D), and kduD-related genes (uxaA, uxuA, yqeF, kduD, araE and ygeA) (Figure 4 E), were downregulated after the intervention of CRAMP-34 with Ec032 and Ec032ΔkduD. These results indicated that the scavenging effect of CRAMP-34 on mature biofilms of E.coli is related to EPS and kduD metabolic pathway.
The results of crystal violet staining revealed that the inhibition rate of biofilms of CRAMP-34 on Ec032ΔkduD was decreased at all concentrations compared to Ec032 (Figure 5 A). The effect of CRAMP-34 on the flagella motility of Ec032 and Ec032ΔkduD was observed by spotting planktonic and biofilms cells liquid onto agar plate containing different concentrations of CRAMP-34. The results showed that CRAMP-34 inhibits the flagellar movement that recovers gradually with the decreased concentration of CRAMP-34 (Figure 5 B).

3. Discussion

E.coli biofilms represent a serious public and animal health concern, yet the regulatory mechanisms governing their development remain incomfully elucidated. Our previous work identified the strong biofilm-forming strain Ec032 from a porcine source and demonstrated that the antimicrobial peptide CRAMP-34 effectively eliminates its mature biofilms. The potent efficacy of CRAMP-34 in accelerating the healing of E.coli-infected full-thickness wounds underscores its therapeutic potential as a dual-function agent. The observed enhancement in wound closure and reduction in bacterial burden align with the established role of host defense peptides in modulating immune responses and directly disrupting microbial membranes. It positions CRAMP-34 not merely as a conventional AMP but as a promising anti-virulence agent that disarms a key pathogen and disrupts its community structure, thereby facilitating wound repair.
To identify key genetic determinants and assess whether CRAMP-34 targets these pathways, we performed a transposon mutagenesis screen. All 25 isolated biofilm-deficient mutants mapped to kduD, deletion of which severely compromised biofilms formation. As E.coli forms air-liquid interface biofilms—a process dependent on oxygen, flagellar motility, and cellulose, and given the established role of flagellar function in approximately half of E.coli biofilms mutants [13,14], we investigated motility in Ec032ΔkduD. The mutant showed markedly impaired swimming motility, despite upregulation of flagellar assembly (fliE, fliA), motor (motA, motB), and the c-di-GMP-responsive brake protein gene ycgR. Since YcgR binds c-di-GMP to mechanically inhibit flagellar rotation, its overexpression likely explains the motility defect [15]. Furthermore, upregulation of the flagellar regulatory system qseBC suggests that KduD functions within or downstream of the QseBC circuit, potentially influencing motility via c-di-GMP and YcgR [16]. In summary, KduD emerges as a novel regulator essential for biofilms formation in Ec032, likely through the QseBC system and a c-di-GMP–YcgR–mediated braking mechanism. Its exact molecular role and therapeutic relevance as a target of CRAMP-34 warrant further study.
Based on the established model of biofilms development—which proceeds through attachment, microcolony formation, and maturation into complex structures such as mushroom-like macrocolonies—we observed that the Ec032ΔkduD mutant retained the ability to adhere and form microcolonies, but failed to develop architecturally mature biofilms. This defect occurred despite upregulation of the key matrix genes csgD and bcsA, and a measurable increase in EPS under standardized bacterial density [17,18]. Notably, while cellulose and curli fibers—encoded by bcsA and csgD, respectively—are essential for structural integrity, particularly under nutrient limitation, their overproduction can disrupt surface adhesion and aggregation [19,20]. In E.coli MG1655, overexpression of csgD was shown to inhibit biofilms formation on hydrophobic surfaces due to excessive cellulose production [21]. Similarly, in the Ec032ΔkduD background, significant upregulation of csgD may drive unbalanced matrix synthesis, leading to loss of structural coordination and impaired biofilms maturation. This suggests that KduD contributes to biofilms integrity not by merely promoting EPS production, but by maintaining metabolic and compositional equilibrium within the matrix. In support of this, we observed concomitant upregulation of the RcsAB, a known repressor of csgD, likely reflecting a compensatory cellular response to restore regulatory balance [22,23]. Thus, KduD appears to act as a metabolic modulator whose activity fine-tunes matrix biosynthesis, ensuring the appropriate spatial and temporal deposition of polysaccharide and protein components required for stable biofilms architecture.
KduD, a 2-dehydro-3-deoxy-D-gluconate 5-dehydrogenase, participates in pentose and glucuronate metabolism [24]. Our analysis revealed that deletion of kduD triggered upregulation of the adjacent genes ygeA and yqeF, which are involved in glucose metabolism, indicating a compensatory metabolic adaptation. Given that KduD is involved in the metabolism of galacturonic and glucuronic acids [25]—key precursors for EPS biosynthesis—we hypothesize that it regulates biofilms architecture by controlling the supply of essential carbon substrates. This is supported by the observation that the Ec032ΔkduD mutant, similar to colanic acid (CA)-deficient strain, failed to form mature biofilms with the typical mushroom-like structure. CA, a branched EPS composed of glucose, galactose, and glucuronic acid, is critical for building the three-dimensional matrix of E.coli biofilms [26]. The inability to form structured biofilms may thus stem from a shortage of these vital EPS building blocks, impairing bacterial colonization and survival in the mammalian intestine. Furthermore, the upregulation of ygeA, which encodes an amino acid racemase that produces biofilm-dispersing D-amino acids, may represent a concurrent disassembly signal that further destabilizes the biofilms matrix [27,28]. In conclusion, we propose that KduD influences biofilms formation not through direct regulatory means but by occupying a critical metabolic node that fuels the biosynthesis of structural EPS, thereby linking central carbon metabolism to biofilms structural integrity.
Our data demonstrate that CRAMP-34 exerts potent anti-biofilm activity by inhibiting flagellar motility and eradicating mature biofilms in Ec032. The concomitant observation that kduD expression is drastically suppressed following CRAMP-34 treatment prompted us to investigate a potential functional link. The finding that CRAMP-34's biofilms clearance efficacy was significantly attenuated, though not entirely abolished, against the Ec032ΔkduD mutant provides direct genetic evidence that KduD is a critical target for its action. This partial persistence of activity suggests that CRAMP-34, like many effective antimicrobial peptides, employs a polypharmacological strategy, engaging multiple cellular targets to disrupt the complex biofilms network. Supporting this model, RT-qPCR analysis revealed a concerted downregulation of the kduD-associated metabolic operon (including uxaA and uxuA) and the glucose transporter araE upon CRAMP-34 treatment. This indicates a targeted disruption of a specific metabolic pathway centered on KduD. Furthermore, the significant suppression of the key biofilm regulators csgD and bcsA aligns with the proposed role of KduD in maintaining EPS stability and suggests a cascade of transcriptional repression. The temporal disconnect between this rapid transcriptional reprogramming and the subsequent phenotypic collapse is a hallmark of targeted anti-virulence strategies, where disabling master regulators leads to a progressive dismantling of the biofilms structure.

4. Materials and Methods

4.1. Bacterial Strains, Plasmids, Primers, and Growth Conditions

E.coli (No. Ec032) was isolated from porcine sources and identified as a colistin-resistant strain carrying the mcr-1 gene of the plasmid IncX4 with a high biofilms formation ability [1]. Bacteria were grown overnight at 37 ℃ in Brain Heart Infusion broth (BHI; Haibo Co., Ltd., Qingdao, China), harvested by centrifugation at 6 000 rpm for 10 min, and resuspended in BHI. The optical density of the bacterial suspension was measured at 600 nm (OD600 nm) and used in the subsequent experiments. The strains, plasmids, and primers are listed in Table 1, Table 2 and Table 3, respectively.

4.2. Determination of Minimum Inhibitory Concentration (MIC)

The MIC values of the antibiotics (Ciprofloxacin, CIP; Yuanye Co., Ltd, Shanghai, China) and Antibacterial peptides (AMPs; CRAMP-34 and LL-37; synthesized by ChinaPeptides Co., Ltd, Shanghai, China) were determined using microbroth dilution technique, as described by the Clinical and Laboratory Standards Institute (CLSI).

4.3. Biofilms Formation and Antibiofilm Assay

For the microtiter plate test (96-well plates), the mature biofilms were formed by adding 100 μL the test bacterial solution into each well of the 96-well plates and incubation at 37 ℃ for 24 h. Then, the plates were washed with phosphate-buffered saline (PBS). The two-fold dilutions of CRAMP-34, LL-37, and CIP ranging from 64 to 0.5 MICs were prepared with sterile water. Next, each antimicrobial compound was added to the corresponding plate and incubated at 37 ℃ for 3 h. The appropriate concentration of CRAMP-34 was selected and tested in a 6-well plate (Corning®3516) to confirm the results; PBS was used as a control. For selective growth of the bacteria, the following antibiotics and substances were added: 2 μg/mL colistin, 30 μg/mL apramycin, 100 μg/mL rifampin, 57 μg/mL diaminopimelic acid, 5% sucrose and 2 mg/mL L-arabinose.

4.4. Skin Wound Infection Model Was Established

The animal experiments utilized male Balb/c mice (6-8 weeks old, weighing 20-23 g, Dashuo Co., Ltd, Chengdu, China). All animal housing and handling procedures were in strict compliance with the Regulations for the Administration of Experimental Animals in China and were approved by the Institutional Animal Care and Use Committe of Southwest University (Permit No.: LAC2025-1-0259). Initially, the mice were subjected to general anesthesia. Subsequently, a 1-cm-diameter artificial wound was created on the dorsal surface of each mouse using surgical scissors. A volume of 200 µL of bacterial suspension (10⁸ CFU/mL) was then applied to the wound site to establish a skin wound infection model. After successful establishment of the skin infection model, the mice were randomly assigned into two groups, with 10 mice per group: the PBS treatment control group infected with the Ec032, the CRAMP-34 treatment group infected with the Ec032. Throughout the treatment period, wound changes were documented daily via photography, and samples were collected for bacterial counting.

4.5. Crystal Violet Staining and Colony Count Assay

The biofilms formation assay was performed using crystal violet, and the viable bacteria were counted on trypticase soy agar plates. Briefly, the supernatant was discarded, and the cells were washed twice with sterile PBS, fixed methanol for 10 min, and stained with crystal violet for 20 min. After washing, acetic acid was used to dissolve the bound crystal violet, and the absorbance was measured at OD600 nm. To count the number of bacteria biofilms, 100 µL Triton-100X was added to disrupt the biofilms, and the bacteria were spread on TSA plates in 10-fold dilution at 37 ℃ for 12 h.

4.6. Swimming Motility Assay

LB medium plates with 0.25% (wt/vol) agar were used for the swimming motility assay. 1 µL microliter aliquots of mid-log-phase bacteria in BHI broth were spotted on a control agar plate and an agar plate containing decreasing concentrations of CRAMP. The diameters of the swimming zones were measured after incubation at 37 °C for 15 h.

4.7. Confocal Laser Scanning Microscopy (CLSM)

The morphological features of biofilms were observed by CLSM as described previously with some modifications [29]. In this experiment, 500 µL of the test bacterial solution (OD600 nm=0.1) was added to an 8-well chambered coverglass (Lab-Tek II chambered coverglass, Rochester, NY, USA), and the medium was replaced every 24 h. After incubation at 37 ℃ for 2 days, the biofilms were treated with CRAMP-34 (125 μg/mL) at 37 ℃ for 3 h, washed with 0.9% (wt/vol) NaCl, and stained at room temperature for 20 min in the dark using a Filmtracer™ LIVE/DEAD™ Biofilm Viability Kit. After rinsing with sterile water, the biofilms samples were imaged with a point-scanning confocal microscope (Eclipse Ti2; Nikon, Tokyo, Japan). The signals were recorded using the green (SYTO9, excitation of 488 nm) and red (PI, excitation of 561 nm) channels. The field of view was randomly selected under ×20 objective, and the three-dimensional image was constructed by stacking multiple images with different Z values (z-stack). The images were acquired using NIS Viewer v5.21.00 software. Four representative images were selected from each biofilms, and each experiment was repeated at least three times. The biofilm-related test parameters, such as the number, volume, base area, and fluorescence intensity, were analyzed using BiofilmQ software.

4.8. Screening of Gene Mutants with Decreased Biofilms Formation

For primary screening of the transposon library, the transconjugants were cultured to mid-log-phase, and then 5 μL was added to Corning 3595 microtiter plates containing 100 μL of BHI broth and incubated at 37 °C for 24 h. The mature biofilms were assessed by crystal violet staining. Isolates exhibiting reduced biofilms accumulation (< 75% of the wild-type level) in the primary screen were retested individually, as described previously [29]. For all reproduced mutants with a defect in biofilms accumulation, growth kinetics were evaluated based on the changes in the bacteria in BHI over a period at OD600 nm. The formation of biofilms are generally divided into four grades, the average OD value of negative control is defined as ODc, OD≤ODc is non-adherent, ODc<OD≤2×ODc is weakly adherent, 2×ODc <OD≤4×ODc is moderately adherent, 4×ODc <OD is strongly adherent.

4.9. Generation of a Mutagenesis Library of Ec032

E.coli WM3064 (pCure-oriT-GFP-MCR) and Ec032 were used as the donor (carrying Mariner transposons, with GFP fluorescent gene) and the recipient, respectively. After the donor and recipient bacteria were cultured to the logarithmic growth stage, they were conjugated at 37℃ at a ratio of 1:1 for 8-12 h. The transconjugants with GFP were selected on LB agar containing 30 μg/mL apramycin and induced in sugar-free LB broth (Yuanye Co., Ltd., Shanghai, China) with 2 mg/mL L-arabinose (Shenggong Co., Ltd., Shanghai, China) for 6 h to obtain plasmid-free Ec032 strain containing the pCure-oriT-GFP-MCR plasmid. These strains were cultured on LB agar plate containing 5% sucrose (Maclin Co., Ltd., Shanghai, China) at 37 ℃ for 24 h to obtain plasmid-free strain Ec032 (Ec032Δ). E.coli WM3064 (pCat-arr) as the donor (carrying Mariner transposons) and Ec032Δ as the recipient, they were conjugated at 37℃ at a ratio of 1:1 for 8-12h. We can obtain transconjugants with a total volume of 1 mL. The transconjugants were selected on LB agar containing 100 μg/mL rifampin against arr transconjugant as the positive mutant. After 100μL was diluted to a suitable gradient, the plate was coated, and the number of mutants was calculated, and the transposon mutation library was obtained.

4.10. Identification of Transposon Insertion Sites

ERIC-PCR was used to detect the contamination of the screened transposon mutants with decreased biofilms compared to Ec032 and Ec032Δ as control strains.The genomic DNA of Ec032 and transposon insertion mutants with reduced biofilms were extracted using the TaKaRa MiniBEST Bacteria Genomic DNA Extraction Kit Ver.3.0 (TaKaRa Co., Ltd, Beijing, China) and subjected to whole-genome sequencing at Novogene Co., Ltd. The insertion site of Mariner transposon was identified by SnapGene software and verified using primers Ec032-F-XJ and Ec032-R-XJ for PCR validation. The sequence was compared to the NCBI database to identify the gene name and base sequence for subsequent gene editing(Dou et al. 2017).

4.11. kduD Mutant Construction Using CRISPR/Cas9 System

Plasmids and genomic DNA were extracted using the TaKaRa MiniBEST Bacteria Genomic DNA Extraction Kit Ver.3.0 (Takara Biomedical Technology (Beijing) Co., Ltd., Beijing, China). In this study, we used two plasmid systems (separate expression of Cas9 and the sgRNA in pCasKp-OriT and pSGKp, respectively) for genome editing using CRISPR-Cas9 system in E.coli DH5α. First, the pSGKp-Ec032-kduD which encodes the sgRNA targeting the kduD gene (target sequence selected by SnapGene software) was constructed. Briefly, the guide RNA target sequence in pSGKp was mutagenized by PCR to target kduD. Primers kduD-F1, kduD-R1, kduD-F2 and kduD-R2 were used to amplify left homologous arm H1 and right homologous arm H2. pSGKp-Ec032-kduD plasmid double enzymes were cut into linea rDNA using BamHI enzyme and XbaI enzyme. The left and right homologous arms H1, H2 and linear pSGKp-Ec032-kduD plasmids were connected by NEBuilder HiFi DNA Assembly Master Mix (NEB Biological Technology (Beijing) Co., Ltd., Beijing, China) and then transformed into E.coli DH5α to obtain pSGKp-Ec032-kduD-500 plasmids. We performed cloning for a pSGKp-Ec032-kduD-500 plasmid harbouring a spacer (for guiding Cas9 cleavage of the wild-type Ec032) in E.coli DH5α and selected on LB plate with 100 μg/mL rifampin (Shanghai Maclin Biochemical Technology Co., Ltd., Shanghai, China). The transformants were confirmed by sequencing.
E.coli WM3064 (pCasKp-OriT) and Ec032 (pSGKp-Ec032-kduD-500) were used as the donor and as the recipient, respectively. After conjugation, the plasmid pCasKp-OriT from E. coli WM3064 was introduced into Ec032. The transconjugants were selected on LB agar containing 30 μg/mL apramycin (Shanghai Maclin Biochemical Technology Co., Ltd., Shanghai, China) at 30℃ for 8 h-12 h. Then the transconjugants were confirmed by colony PCR and DNA sequencing. The gene deletion strains were coated on 5% sucrose LB agar plate and cultured at 37 ℃ to eliminate plasmids pSGKp-Ec032-kduD-500 and pCasKp-OriT.

4.12. The Plasmid Deletion Strains Ec032ΔkduD Were Obtained

The construction of kduD complementation strains followed the design based on plasmid pBAD24. The kduD gene fragment, amplified from the genomic DNA of Ec032, was inserted into the multiple cloning site (MCS) of plasmid pBAD24, using ClonExpress® Ultra One Step Cloning Kit (Vazyme Biotech Co., LTD). Then, the recombinant product pBAD24-kduD was transformed into E.coli DH5α chemically competent cells and inoculated on transformed LB plates supplemented with 100 μg/mL ampicillin. Positive clones were identified through colony PCR and sequencing. Finally, the recombinant plasmid was transferred into kduD mutant strain via electroporation. The constructed complementation strain, named Ec032-ΔkduD/pkduD, induced by arabinose during culture, was used to ascertain the target of CRAMP-34 to Ec032.

4.13. Growth Curves

Bacteria were cultured in BHI broth to mid-log-phase and diluted to equal optical densities (OD600 nm=1). An equivalent of 200 µL of these cultures was added to 96-well microtiter plates (Corning®3599; Corning Inc., Corning, NY, USA) and incubated at 37 °C. The growth of these cultures was monitored by determining the absorbance at 600 nm every 2 h for 24 h. And OD600 nm was measured by Infinite® M Plex microplate reader (Tecan, Switzerland) after shaking. Three independent experiments were performed.

4.14. Congo Red-Binding Assay and EPS Assay

1 µL of the test bacterial suspension of Ec032 and Ec032ΔkduD was spotted onto 40 μg/mL Congo Red unsalt-free LB agar plate [30], which was incubated at 37 °C for 2–4 days. Subsequently, the colony morphology was compared.
EPS was determined by phenol-sulfuric acid method. The working bacterial suspension was inoculated into 6-well plate and cultivated at 37 ℃ for 24 h to form biofilms. Then, the planktonic bacteria were discarded, the well was rinsed with PBS, suspended with normal saline to scrape up the biofilms, and homogenized by repeated and even blowing. The resulting was clarified by centrifugation at 4,000 rpm, 4 ℃ for 20 min. The supernatant was filtered through a 0.22-μm filter membrane; 100 μL was added into a new centrifuge tube and mixed with 200 μL concentrated sulfuric acid and 25 μL 6% phenol solution successively for reaction in a water bath at 90 ℃ for 5 min. After cooling to room temperature, 200 μL was dispensed in a 96-well plate to measure the absorbance at the wavelength of 490 nm. Each experiment was set up in three parallel groups and repeated three times.

4.15. Real-Time Fluorescence Quantitative PCR (RT-qPCR)

The CRAMP-34 treatment of the biofilms were carried out as described above. Total RNA was extracted using Total RNA Isolation Reagent (Biosharp Co., Ltd, Beijing, China), according to manufacturer’s instructions. RNA was reverse transcribed using the PrimeScript™ RT reagent Kit (TaKaRa), according to the manufacturer’s instructions. Primers and probes were designed by Primer 5.0 and synthesized by Tsingke Biotechnology (Beijing, China). RT-qPCR was conducted on a CFX Connect qPCR. The reaction conditions were as follows: 95 °C for 30 s and 40 cycles of 95 °C for 5 s and 60 °C for 30 s. The relative expression levels of each target gene were computed by the 2−ΔΔCt method.

4.16. Statistical Analysis

All experiments were conducted in triplicate, and data represented a minimum of three biological replicates. The statistical analyses were carried out using Microsoft Excel and GraphPad Prism 8.0 software. An unpaired t-test (two-tailed) was used to calculate the statistical significance. Significant differences are indicated as *(P < 0.05), **(P < 0.01) and ***(P < 0.001).

5. Conclusions

This study establishes the CRAMP-34 as a potent agent capable of eradicating mature E.coli biofilms, its mechanism of action revealed that its efficacy is closely linked to its suppression of bacterial flagellar motility. We further identified the gene kduD as a novel and critical regulator governing this motility and, consequently, the entire biofilm developmental process. Therefore, our work not only highlights the therapeutic potential of CRAMP-34 but also unveils kduD as a central player in biofilm formation, offering a promising new target for anti-biofilm strategies.

Author Contributions

HongWei Chen, Writing-review & editing, Supervision, Project administration, Funding acquisition, Conceptualization. HongZao Yang, Writing original draft & review, Investigation, Funding acquisition, Formal analysis. Jing Xiong, Writing-original draft, Visualization, Methodology, Data curation. SiSi Su, Writing & editing, Investigation. Zhuo Yang, Visualization, Supervision, Resources. LianCi Peng, Validation, Resources. SuHui Zhang, Visualization, Software, Formal analysis. JinJie Qiu, Visualization, Software, Resources. YuZhang He, Software, Formal analysis. Wu Yang, Software, Formal analysis. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Center of Technology Innovation for Pigs (NCTIP-XDB19), Yunnan Province Science and Technology Department key research development plan (202403AC100013), Chongqing Natural Science Foundation (CSTB2024NSCQ-MSX0373), Science and Technology Research Program Project of Chongqing Municipal Education Commission (KJQN20240021).

Institutional Review Board Statement

Ethical review and approval were applicable for thisstudy.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Acknowledgments

We are grateful to the National Center of Technology Innovation for Pigs for support in providing the CLSM equipment.

Conflicts of Interest

The authors declare that they have no conflicts of interest regarding the contents of this article.

Abbreviations

The following abbreviations are used in this manuscript:
E.coli Escherichia coli
CRAMP-34 Cathelicidins related antimicrobial peptide
EPS exopolysaccharides
AMP Antibacterial peptide
PCR Polymerase chain reaction
QS Quorum sensing
TCS Two omponents system
c-di-GMP Cyclic diguanosine monophosphate
KduD 2-dehydro-3-deoxy-D-gluconate 5-dihydrogenase
CIP Ciprofloxacin
MIC Minimum inhibitory concentration
CLSM Confocal Laser Scanning Microscope
RT-qPCR Real-time fluorescent quantitative PCR

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Figure 1. CRAMP-34 demonstrates potent biofilm-eradicating activity and promotes wound healing in vivo. (A) The biomass of Ec032 biofilms (1-day-old) treated with CRAMP-34, LL-37, and CIP was detected by crystal violet staining. (B) The viable bacteria of Ec032 biofilms (1-day-old) treated with CRAMP-34, LL-37, and CIP was detected by crystal violet staining. (C) and (D) The orthogonal views and three-dimensional biofilms representation under the 20× objective in the control group. (E) and (F) The orthogonal views and three-dimensional biofilms representation of CRAMP-34 in the objective of 20×. (G) Biofilm Number. (H) Biofilm volume. (I) The fluorescence intensity of live and dead bacteria. (J) Biofilms basearea. (K) The fluorescence intensity per unit area (fluorescence intensity / base area). (L) Fluorescence intensity per unit volume (fluorescence intensity / volume). (M) Representative wound photos of mice from different treatment groups. (O) antibacterial efficacy of different treatments that are determined by the results of bacterial colony counts. (N) Statistics of wound shrinkage rates.
Figure 1. CRAMP-34 demonstrates potent biofilm-eradicating activity and promotes wound healing in vivo. (A) The biomass of Ec032 biofilms (1-day-old) treated with CRAMP-34, LL-37, and CIP was detected by crystal violet staining. (B) The viable bacteria of Ec032 biofilms (1-day-old) treated with CRAMP-34, LL-37, and CIP was detected by crystal violet staining. (C) and (D) The orthogonal views and three-dimensional biofilms representation under the 20× objective in the control group. (E) and (F) The orthogonal views and three-dimensional biofilms representation of CRAMP-34 in the objective of 20×. (G) Biofilm Number. (H) Biofilm volume. (I) The fluorescence intensity of live and dead bacteria. (J) Biofilms basearea. (K) The fluorescence intensity per unit area (fluorescence intensity / base area). (L) Fluorescence intensity per unit volume (fluorescence intensity / volume). (M) Representative wound photos of mice from different treatment groups. (O) antibacterial efficacy of different treatments that are determined by the results of bacterial colony counts. (N) Statistics of wound shrinkage rates.
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Figure 2. Identification of kduD through transposon mutagenesis and its role in biofilms formation, colony morphology, and EPS production in Ec032. (A) Biomass of mutant biofilms (1-day-old) in 96-well plates was detected by crystal violet staining. (B) Congo red observation of colony morphology in Ec032-related mutant strains. (C) Electrophoretogram of ERIC-PCR. (D) Identification of transposon insertion sites in mutant strains. (E) Schematic diagram of the pCasKp-OriT/pSGKp system construction process. (F) Peak map of Sanger sequence. (G) Electrophoretogram. (H) Growth curves of various bacterial strains. (I) Biomass (1-day-old) were treated in the test tube by crystal violet staining. (J) Congo red colony morphology. (K) The content of EPS at the same bacterial level.
Figure 2. Identification of kduD through transposon mutagenesis and its role in biofilms formation, colony morphology, and EPS production in Ec032. (A) Biomass of mutant biofilms (1-day-old) in 96-well plates was detected by crystal violet staining. (B) Congo red observation of colony morphology in Ec032-related mutant strains. (C) Electrophoretogram of ERIC-PCR. (D) Identification of transposon insertion sites in mutant strains. (E) Schematic diagram of the pCasKp-OriT/pSGKp system construction process. (F) Peak map of Sanger sequence. (G) Electrophoretogram. (H) Growth curves of various bacterial strains. (I) Biomass (1-day-old) were treated in the test tube by crystal violet staining. (J) Congo red colony morphology. (K) The content of EPS at the same bacterial level.
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Figure 3. kduD regulates biofilm architecture by modulating flagellar motility and exopolysaccharide production. (A) Swimming zone diameter. (B) Twitching zone diameter. (C) and (D) The orthogonal views and three-dimensional biofilms representation under 20× in the Ec032 group. (E) and (F) The orthogonal views and three-dimensional biofilms representation under 20× in the Ec032ΔkduD group. (G) Biofilms number. (H) Biofilm basearea. (I) Biofilm volume. (J) Cube surface of biofilms.
Figure 3. kduD regulates biofilm architecture by modulating flagellar motility and exopolysaccharide production. (A) Swimming zone diameter. (B) Twitching zone diameter. (C) and (D) The orthogonal views and three-dimensional biofilms representation under 20× in the Ec032 group. (E) and (F) The orthogonal views and three-dimensional biofilms representation under 20× in the Ec032ΔkduD group. (G) Biofilms number. (H) Biofilm basearea. (I) Biofilm volume. (J) Cube surface of biofilms.
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Figure 4. Relative expression of the biofilm-associated genes. (A) The mRNA level of flagellate-related genes. (B) The mRNA level of adhesin-related genes. (C) The mRNA level of QS system-related genes. (D) The mRNA level of TCS system-related genes. (E) The mRNA level of kduD-related genes. Data are expressed as the mean ± SD of three independent experiments. Note.* P < 0.05, ** P < 0.01, *** P < 0.001 compared to the nontreated Ec032 group. # P < 0.05, ## P < 0.01, ### P < 0.001 compared to the nontreated Ec032ΔkduD group.
Figure 4. Relative expression of the biofilm-associated genes. (A) The mRNA level of flagellate-related genes. (B) The mRNA level of adhesin-related genes. (C) The mRNA level of QS system-related genes. (D) The mRNA level of TCS system-related genes. (E) The mRNA level of kduD-related genes. Data are expressed as the mean ± SD of three independent experiments. Note.* P < 0.05, ** P < 0.01, *** P < 0.001 compared to the nontreated Ec032 group. # P < 0.05, ## P < 0.01, ### P < 0.001 compared to the nontreated Ec032ΔkduD group.
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Figure 5. The inhibition rate of CRAMP-34 on 1-day-old preformed biofilms and the effect of CRAMP-34 on swimming motility. (A) The inhibition rate of CRAMP-34 on biofilms. (B) The swimming zone diameter (mm) after CRAMP-34 inhibits planktonic and biofilms bacterial swimming motility.
Figure 5. The inhibition rate of CRAMP-34 on 1-day-old preformed biofilms and the effect of CRAMP-34 on swimming motility. (A) The inhibition rate of CRAMP-34 on biofilms. (B) The swimming zone diameter (mm) after CRAMP-34 inhibits planktonic and biofilms bacterial swimming motility.
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Table 1. Bacterial strains and plasmids used in this study.
Table 1. Bacterial strains and plasmids used in this study.
Strains/Plasmids Description
Ec032 Clinical isolation of IncX4 plasmid strain carrying mcr-1, Colr
Ec032Δ plasmid was cured
Ec032ΔkduD kduD gene deletd
E. coli DH5α cloning vectors
E. coli WM3064 a diaminopimelic acid (DAP) auxotroph strain
pCure-oriT-GFP-MCR Aprr, oriT+, GFP+, sacB+
pCat-arr Mariner transposon, Rifr, oriT+
pCasKp-OriT Aprr, oriT+, bacterial expression of Cas9 nuclease and λ-Red recombination system, with temperature-sensitive replication
pSGKp-arr2 Rifr, sacB+, a sgRNA expression plasmid for targeting a specific sequence
pSGKp-Ec032-kduD pSGKp derivative with the spacer of the kduD gene
pSGKp-Ec032-kduD-500 pSGKp derivative with the repair arms of the kduD gene
Note: Aprr, Apramycin resistant; Rifr, Rifampicin resistant; Colr, Colistin resistant; oriT+, With conjugation transfer initiation site;sacB+, With the suicide gene sacB; GFP, With GFP fluorescent gene.
Table 2. Primer used in this study.
Table 2. Primer used in this study.
Primer Sequence (5’-3’)
Eric-F ATGTAAGCTCCTGGGGATTCAC
Eric-R AAGTAAGTGACTGGGGTGAGCG
Ec032-F-XJ GTCGAGAATTTCCGCGCTAC
Ec032-R-XJ GTATTGATACCGGCACTCCG
infu-kduD-N20F CACATAATCTGAAGCGCTGGGTTTTAGAGCTAGAAATAGCAAGTTAAAATAAGGC
infu-kduD-N20R CCAGCGCTTCAGATTATGTGACTAGTATTATACCTAGGACTGAGCTAGC
kduD-N20-F CACATAATCTGAAGCGCTGG
kduD-F1 TCGAATTCCTGCAGCCCGGGGGATCCTATTTACGCCCCAGGCGGAA
kduD-R1 CCGCATGGCAGGGTTTTTTA
kduD-F2 TAAAAAACCCTGCCATGCGGTATGCCCACAACTAGCGCAA
kduD-R2 TCCACCGCGGTGGCGGCCGCTCTAGATTACTGTCGATGGCCAATGC
kduD-F TGCCGAGTGTGACCATCAAC
kduD-R CGGAGGTTGATGTGGACGTA
Table 3. Primers for RT-qPCR.
Table 3. Primers for RT-qPCR.
Gene Forward primer sequence Reverse primer sequence
gapA GTTGTCGCTGAAGCAACTGG CGATGTCCTGGCCAGCATAT
flhC ATGCTGCCATTCTCAACCGA GCTTGTGGGCACTGTTCAAG
fliE GACCATTAGTTTTGCCGGGC ACGCACCTGAATCCCCATTT
fliA GAACGCTATGACGCCCTACA TCCAGTTGCCCTATTGCCTG
motA CGCCGAAACCAGCAAAATGA TCCTCGGTTGTCGTCTGTTG
motB TGACTGCGATGATGGCCTTT CCCCTGGCTTTGGGTGTAAT
ycgR GGGGCAATGGGGTGTTTTTC CTTTGTCCGCTTTTTCCCGG
fimA TTGTTCTGTCGGCTCTGTCC ACTGGTTGCTCCTTCCTGTG
papG TTCGCATCGTGAAACAGCAC TACGTTTCGCTTCCATGGCT
csgD GATTACCCGTACCGCGACAT GCGTAATCAGGTAGCTGGCA
bcsA AACGAAGGCACGCTGTTCTA GAGGTATAGCCACGACGGTG
luxS TTGGTACGCCAGATGAGCAG ACGTCACGTTCCAGAATGCT
lsrK CAGATTACTTTGGCTGGCGC CGTAGGCCAGCCATATCCAG
qseC CGTGACCCTGACTCGGAAAA TTCGGTTTGCACTTTCAGCG
qseB ATTGGCGACGGCATCAAAAC CACGCTGACCTTTTTCTCGC
phoP GCGCGTACTGGTTGTTGAAG CTGGCAATCCGAGATCGACA
basS CCTGCTGCGGATGTTATTGC ACGCTTTACTCAACTCCCCG
basR GTACTGATCCTCACCGCTCG GACCCATGTTCAGCGTCAGA
rcsA ATTGAGCCGAACCGAATCGA GTCAGTCGGACGACATGGTA
rcsB ATCAGTGCTGGTGGTTACGG TCAGCAGGGCGATATCGTTC
cpxA CGCAGGTGCCAGTTTTAACC CAGTTCCTTGCTTTCACCGC
cpxR TTAGTGCTGAATCCAGGCCG CGTTTGCCCAACACTTCCTG
kduD AACCATCGAGCAGGTCACAG TCGCTGAACTCGAGAGCATC
uxuA ACCAGATCGAATTCGCTGCA CCCGGAAGACCAGCAATGAT
uxaA GTGATTGGTCTGGGCTGTGA CTGGCTCGCGTTTATCGTTG
araE TTACCTGTTCGACCACCACG GGTTTCCGGAATGAGCCAGA
ygeA ACGATGCATAAAGTGGCGGA AAAATTGTTCCGTCAGCCGC
yqeF TTGCCAGCGTTGGTGTAGAT ATTGACATTGACCCGACGCT
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