Skip to main content
Springer logoLink to Springer
. 2026 Jun 22;208(9):449. doi: 10.1007/s00203-026-05020-3

Reciprocal adaptation is critical in enhancing S. aureus and P. aeruginosa biofilm biomass

Xiaohan Sun 1,2, Clare M Cooksley 1,2, Muhammed Awad 1,2, Emma F Barry 1,2, Alkis J Psaltis 1,2, Peter-John Wormald 1,2, Sarah Vreugde 1,2,✉
PMCID: PMC13287213  PMID: 42329470

Abstract

Polymicrobial communities impose a great challenge for clinical management of chronic infections. It is a consensus now that microbes exist as aggregated colonies shielded within polymeric matrix. Within this matrix more than one bacterial species can exist either in symbiotic or rival relationships. Herein, we investigated the host-specific interspecies interactions between Staphylococcus aureus and Pseudomonas aeruginosa in chronic rhinosinusitis (CRS). The indirect interaction between the two species was assessed using Transwell co-culture chambers, where S. aureus and P. aeruginosa (n = 3 each) derived from CRS patients were cultured in separate chambers that allowed exchange of soluble factors. Later the biofilm biomass of each species was evaluated and compared to single species biofilm. Further, the influence of the co-culture conditions on antibiotic tolerance was evaluated. When derived from the same patient, co-cultured bacteria increased the biofilm biomass of each other significantly by 3.0-4.9 fold (p < 0.01) and exhibited higher tolerance to amikacin compared to co-cultures of isolates from two different patients and monocultured biofilms. Moreover, the incubation of one bacterial protein-enriched secreted fractions (PESF) with alternative species form same patient significantly increased biomass by 1.5–4.8 fold (p < 0.01), while similar trend was not observed among randomly cultured species. These data underscore the synergistic growth pattern between different bacterial species growing in the same niche and highlight the importance of further studies to aid the selection of antibiotics targeting polymicrobial biofilms.

Supplementary Information

The online version contains supplementary material available at https://doi.org/10.1007/s00203-026-05020-3.

Keywords: Antibiotic resistance, Biofilms, Chronic rhinosinusitis, Pseudomonas aeruginosa, Staphylococcus aureus

Introduction

Polymicrobial infection is a hallmark of various chronic inflammatory conditions of the airways such as chronic rhinosinusitis (CRS), cystic fibrosis, and chronic obstructive pulmonary disease (COPD). In polymicrobial infections, interactions amongst various bacterial species can influence the severity of infection, the resulting inflammation and treatment success (Widder et al. 2024). Staphylococcus aureus and Pseudomonas aeruginosa can coexist in chronic infections via complex interactions and serve as drivers of infection, potentially impeding treatment success (García-Contreras et al. 2016). Unlike infections generated by a single species, the coexistence of S. aureus and P. aeruginosa in mixed infections is mostly related to enhanced pathogenic features and increased antibiotic resistance (Vestweber et al. 2024).

CRS is defined as a persistent inflammation of the nasal and sinus mucosa that compromises patients’ quality of life (DeConde and Soler 2016). Although the exact aetiopathogenesis of CRS is unclear, microbial infections are thought to be an important factor initiating and maintaining the inflammation (Vestweber et al. 2024). Recent studies have shown that polymicrobial biofilms coat the mucosal surface of the sinuses (Broderick et al. 2025). S. aureus and P. aeruginosa are amongst the most frequently isolated species in CRS patients and their co-infection is linked to a more severe disease with poorer treatment outcomes (XS et al. 2026). Their high prevalence in severe CRS patients implicates the potential of a coordinated action and enhanced virulence resulting in excessive inflammation, tissue damage, or barrier dysfunction (Kaliniak et al. 2024).

Biofilms are communities of bacteria encased in a self-produced polymeric matrix attached to surfaces. Bacterial cells embedded in biofilm matrix are protected from the host’s immune system and external factors such as antibiotics (Liu et al. 2024). Biofilms are therefore much more tolerant to antibiotics compared to their planktonic counterparts, in part due to the polymeric matrix which provides a diffusion barrier that prevents the antibiotics from penetrating deep within biofilms (Bin et al. 2025). Also, the metabolic activity of bacteria within the biofilm is reduced, further decreasing the effectiveness of antibiotics (Ahmad et al. 2025). Research findings indicate that communication between different bacterial species in polymicrobial biofilms plays a critical role in controlling the architectural organization of the biofilm as well as its metabolic properties (Trizna et al. 2020). In clinical infections, S. aureus and P. aeruginosa biofilms can co-exist. However, whether and how both species influence each other’s growth and biofilm formation is debated. P. aeruginosa produces a wide variety of quorum sensing molecules to coordinate the motility, expression of virulence factors and extracellular matrix formation (Scaffo et al. 2025). Many of those factors were shown to negatively affect S. aureus growth in vitro (Landa et al. 2024). Other studies however show an increase in biofilm complexity and pathogenicity when both species co-exist (Vestweber et al. 2024, Dehbashi et al. 2024). Hence, strain variation may influence interactions affecting growth patterns and virulence.

The polymicrobial nature of CRS is a major challenge to the clinician because of the difference in dominant species between patients and the need to target various species at the same time where both S. aureus and P. aeruginosa may have different susceptibilities to the antibiotics used in the treatment. Certain antibiotics may be useful in combating one pathogen, but are ineffective against the other, and their existence in biofilm form compounds this problem (Alammar et al. 2023).

Therefore, understanding the interactions of dominating species in the context of polymicrobial infections is crucial to optimize therapies that can effectively treat such infections in the sinonasal cavities. This study used S. aureus and P. aeruginosa isolated from the sinonasal cavities of CRS patients to evaluate the potential for reciprocal interaction between both species and their effect on biofilm formation and effectiveness of antibiotics (Tacconelli et al. 2018).

Materials and methods

Ethical approval and clinical isolate identification

Ethics approval

for the collection, storage, and use of clinical isolates from the sinonasal cavities of patients was granted by the Central Adelaide Local Health Network (CALHN) Human Research Ethics Committee (HREC) (CALHN Ref. 13604) and the Calvary Hospital HREC (Ref. 19-CHREC-E003), both in Adelaide, South Australia. This study was conducted in accordance with the principles of the Declaration of Helsinki. All patients had signed written informed consent. The diagnostic criteria for CRS were obtained from the European Position Statement on CRS (Fokkens et al. 2020). Matched S. aureus and P. aeruginosa were isolated from 3 distinct patients, and identity was confirmed by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS, Bruker® MBT, University of Adelaide, Adelaide, Australia) and stored at − 80 °C in tryptone soy broth (TSB, Oxoid, Basingstoke, UK) plus 20% (v/v) sterile glycerol until further use.

Antimicrobial susceptibility and MIC determination

Antibiotics were selected to represent commonly used agents targeting Gram-positive and Gram-negative bacteria in experimental contexts. Ciprofloxacin was used for P. aeruginosa, amoxicillin for S. aureus, and amikacin for both species. The minimum inhibitory concentration (MIC) of antibiotics was determined using a broth microdilution method (Wiegand et al. 2008). S. aureus and P. aeruginosa clinical isolates grown overnight on 1.5% tryptic soy agar (TSA, Oxoid, Basingstoke, UK) plates were suspended in 0.9% normal saline at 0.5 MacFarland Units (1–2 × 10^8 CFU/mL) and diluted 1:100 in Mueller-Hinton Broth (MHB, Thermo Fisher Scientific, Waltham, MA, USA) in a 96-well plate containing serially diluted antibiotics with concentrations ranging from 128 µg/ml to 0.25 µg/ml; with positive (no antibiotics) and negative (media) controls. The microtitre plates were incubated at 37 C for 24 h. A 10 µL sample from the growth control was diluted and spread-plated onto 1.5% TSA plates in order to confirm the inoculum density before incubation. After incubation, the minimal concentration that inhibited visible growth of the microorganism was noted. Measurement of the optical density was conducted at 595 nm using a plate reader (BIO-RAD laboratories, CA, USA). All MIC assays were performed with 6 technical replicates and 3 independent culture replicates initiated from glycerol stocks of the same isolate. The MIC interpretation of susceptible and resistant breakpoints was based on the Clinical and Laboratory Standards Institute ((CLSI) 2023) and the European Committee on Antimicrobial Susceptibility Testing (EUCAST) (Testing 2019). Amikacin, amoxicillin and ciprofloxacin were from Sigma-Aldrich, St Louis, Mo, USA.

S. aureus and P. aeruginosa biofilm formation

Overnight cultures of S. aureus and P. aeruginosa isolates grown on tryptic soy agar (TSA, Oxoid, Basingstoke, UK) plates were transferred into a sterile glass tube containing 0.9% sodium chloride and adjusted to a 1.0 ± 0.1 McFarland turbidity standard (approximately 3 × 108 colony-forming units [CFU]/mL). The bacterial suspension was then diluted into nutrient broth at a 1:15 ratio. Subsequently, 180 µL of the final suspension was transferred to flat-bottom 96-well microtiter plates.

Single-species biofilms were established in a Transwell system (Corning, NY, USA) to model indirect interspecies interactions, with 13 mm coverslips placed in the basal chamber. A total of 100 µL of S. aureus or P. aeruginosa broth cultures were added to the upper chamber and 500 µL to the basal chamber across a 0.4 μm membrane. The 0.4 μm pore size allows diffusion of soluble factors but prevents bacterial crossover between chambers, enabling the assessment of indirect interactions only. This was experimentally verified by plating samples from the lower chamber onto selective agar plates for S. aureus (CHROMID S. aureus ELITE, bioMérieux) and P. aeruginosa (cetrimide agar), which showed no detectable growth. Plates were then incubated at 37 °C for 48 h on a rotating platform at 70 rpm (3D Gyratory Mixer) to allow biofilm formation.

In preliminary exploratory experiments, co-culture interactions were also assessed using laboratory reference strains (S. aureus ATCC25923 and P. aeruginosa PAO1), as well as representative clinical isolates (S. aureus C333 and P. aeruginosa C441). The corresponding data are provided in Supplementary Table S6 and Supplementary Figure S2.

Preparation of protein-enriched secreted fractions (PESF)

The collection and quantification of bacterial biofilm PESF was carried out as described previously (Panchatcharam et al. 2020, Shaghayegh et al. 2023, Shaghayegh et al. 2023). Briefly, 48-hour biofilms were established in 6-well cell culture plates, followed by collection of supernatants and centrifugation at 1500 × g for 10 min at 4 °C. The supernatants were filtered through a 0.22-µm acrodisc® syringe filter (Life Science, Fribourg, Switzerland) and concentrated using 3 KDa Pierce Protein Concentrators (Thermofisher, IL, USA). Concentrations were measured using the Nano-orange protein quantitation kit (Molecular Probes, Eugene, OR, USA) according to the manufacturer’s instructions. The fluorescence intensity was measured with excitation at 485 nm and emission at 590 nm using the FLUOstar Optima microplate reader (BMG Lab Tech). The preparation represents a cell-free, protein-enriched secreted fraction, which may also contain extracellular vesicles and membrane-associated components.

Minimum biofilm eradication concentration (MBEC) assay

Established 48-hr biofilms were washed with phosphate-buffered saline (PBS). Amikacin was added in serial dilutions at concentrations from 2 to 64 µg/ml. Amikacin was selected for MBEC assays as all isolates demonstrated susceptibility under planktonic MIC conditions, enabling a standardized comparison of biofilm-associated antibiotic tolerance across strains. Sterile broth served as growth control. The plates were incubated at 37 °C for 24 h to determine the antibiotics’ minimum biofilm eradication concentration (MBEC) using crystal violet assays.

Mixed-species and single species bacterial culture

MBEC assays for indirect interspecies biofilm interactions

Biofilms were established in a Transwell system (Corning), followed by aspiration of the media and adding 300 µL amikacin in media at a concentration of 16 µg/mL into both upper and lower chambers and incubation at 37 °C for a further 24 h. Media from lower chambers was serially diluted and plated onto 1.5% TSA plates followed by overnight incubation and enumeration of CFUs to evaluate contamination from the species from the upper chamber.

Crystal violet assay to determine biofilm biomass

Biofilm biomass was evaluated as previously described (Shaghayegh et al. 2023, Shaghayegh et al. 2024) with modifications. Biofilms were rinsed twice with PBS and coverslips from the lower chamber of transwells transferred into 24-well plates. Biofilms were stained with 180 µL or 500 µL of 0.1% (v/v) crystal violet solution per well (for 96-well plates and 24-well plates respectively) for 15 min at room temperature. The wells were rinsed thrice with sterile MilliQ water. Next, 180 µL/well (96-well plates) or 500 µL/well (24-well plates) of 30% acetic acid was added and incubated on a rotating platform (70 rpm) for 1 h. The absorbance of each well was measured spectrophotometrically at 595 nm using the FLUOstar OPTIMA microplate reader (BMG LABTECH). All experiments included a sterility control containing uninoculated nutrient broth. The experiments were repeated three times, with each repetition containing three technical replicates.

The percentage reduction in biomass value was calculated using the following formula:

graphic file with name d33e496.gif

Determination of PESF influence on biofilm biomass

The experimental groups included either the addition of PESF to planktonic cells during biofilm formation, or addition of PESF to established biofilms. In all experiments, control conditions were defined by the addition of sterile TSB to the upper chamber in place of PESF, which had been subjected to the same incubation and concentration procedures as the PESF preparations.

For PESF treatment during biofilm formation, concentrated PESF from single species bacterial biofilms were adjusted to 550 µg/mL and diluted 1:1 in 2x TSB. 90 µL of PESF was then mixed with 90 µL of a 1:15 dilution of 1MFU bacterial suspension in 96 well plates. These were then incubated at 37 °C for 48 h on a rotating platform at 70 rpm (3D Gyratory Mixer) to facilitate biofilm formation. For PESF treatment of established biofilms, 180 µL of a 1:15 diluted 1MFU bacterial suspension in 2x TSB was added to 96-well plates and incubated for 24 h at 37 °C on a rotating platform at 70 rpm (3D Gyratory Mixer) to allow biofilm formation. After 24 h, the media was aspirated, and 180 µL of the PESF dilution was added to give a final treatment concentration of 550 µg/mL. The plates were then incubated for an additional 24 h. Biomass measurement was conducted using the crystal violet assay.

Statistical analysis

Statistical calculations were performed using Graph Pad Prism v 9.0.0 (121) (GraphPad Software, San Diego CA, USA). The Independent Samples t-test was used to assess the statistical differences between the means of two groups. For comparisons involving more than two groups, one-way ANOVA followed by Tukey’s multiple comparisons test was applied. The results were considered statistically significant when the p-value was < 0.05.

Results

S. aureus and P. aeruginosa reciprocally enhanced biofilm biomass when both species were isolated from the same patient

Three pairs of S. aureus and P. aeruginosa strains harvested from the sinonasal cavities of 3 CRS patients were used in experiments. Table 1 summarises the clinical and demographic characteristics of 3 adult patients with CRS. The patients varied in comorbidities, CRS phenotype, and disease severity scores. In all cases, S. aureus and P. aeruginosa were co-isolated from the same clinical sample, allowing for inter-patient comparison.

Table 1.

Clinical and demographic characteristics of patients from whom CRS isolates were obtained

Patient ID Age (years) Sex CRS Phenotype Smoking History Allergies Asthma GORD DM ADSS Score
6027 82 F CRSsNP Non-smoker None Yes Yes No 25
539 60 F CRSwNP Non-smoker Yes Yes Yes Yes 14.5
1415 53 M CRSwNP Unknown None No Yes Yes Not recorded

CRSchronic rhinosinusitis; CRSsNPCRS without nasal polyps; CRSwNPCRS with nasal polyps; GORDgastroesophageal reflux disease; DMdiabetes mellitus; ADSSAdelaide Disease Severity Score (Naidoo et al. 2013); Ffemale; Mmale

Bacterial biofilms of both species were alternatively co-cultured in the upper and lower chamber of Transwell plates for 48 h to determine the influence of each bacterial species on the biofilm thickness of the other species. Results showed that both S. aureus and P. aeruginosa biofilm biomass size increased by 3-5-fold when species were allowed to indirectly interact, compared to single species biofilms across the 3 pairs tested (p < 0.05) (Fig. 1A and C). Following these observations, we assessed whether biofilms under indirect interspecies interaction conditions formed by isolates from different patients would produce a similar effect. No significant increase in biomass was observed compared to single-species cultures (Fig. 1D–F). Detailed results for all pairwise combinations are provided in Supplementary Table S1.

Fig. 1.

Fig. 1

Biofilm biomass of S. aureus (SA) and P. aeruginosa (PA) in co-culture and monoculture conditions. (A) Biofilm biomass values of S. aureus and P. aeruginosa isolated from patients 1 (A), 2 (B), and 3 (C) in mixed cultures (SAx-PAx and PAx-SAx, where the biofilm biomass corresponds to that of S. aureus or P. aeruginosa respectively in each co-culture condition) and mono-culture (SAx-SAx and PAx-PAx in which the biofilm biomass of S. aureus or P. aeruginosa was measured in the lower chamber, with the same species present in the upper chamber). (D-F) Biofilm biomass of S. aureus and P. aeruginosa from different patients in co-culture and monoculture. **p < 0.01, ***p < 0.001, ****p < 0.0001, t-test; ns (not significant). SA: S. aureus, PA: P. aeruginosa, SA-PA: S. aureus in the lower chamber and P. aeruginosa in the upper chamber. PA-SA: P. aeruginosa in the lower chamber and S. aureus in the upper chamber

Determination of the minimum inhibitory concentration (MIC) of antibiotics against planktonic S. aureus and P. aeruginosa from CRS patients

To test whether the growth of both species could affect their antimicrobial susceptibility, we determined their individual susceptibility to antibiotics in planktonic forms before testing in biofilms. S. aureus and P. aeruginosa from the 3 patients were tested for their antimicrobial resistance to amoxicillin, ciprofloxacin and amikacin. Both species varied in their susceptibility to amoxicillin and ciprofloxacin, but all were susceptible to amikacin. MIC values against the 6 strains for amoxycillin, ciprofloxacin and amikacin are shown in Table 2. MIC breakpoints were interpreted according to the Clinical and Laboratory Standards Institute ((CLSI) 2023) and the European Committee on Antimicrobial Susceptibility Testing (EUCAST) (Testing 2019) and are provided in Supplementary Table S2.

Table 2.

Minimum inhibitory concentration (MIC) and Susceptibility of bacterial strains to amoxicillin, ciprofloxacin, or amikacin

Antibiotics Strains MIC (µg/mL) Antibiotic Susceptibility (S/I/R)
Amoxicillin S. aureus (Patient 1) 8 I
S. aureus (Patient 2) 2 S
S. aureus (Patient 3) 16 R
Ciprofloxacin P. aeruginosa (Patient 1) 16 R
P. aeruginosa (Patient 2) 8 R
P. aeruginosa (Patient 3) 1 I
Amikacin S. aureus (Patient 1) 2 S
S. aureus (Patient 2) 4 S
S. aureus (Patient 3) 2 S
P. aeruginosa (Patient 1) 1 S
P. aeruginosa (Patient 2) 1 S
P. aeruginosa (Patient 3) 4 S

S susceptible; Iintermediate; Rresistant. Interpretations are based on EUCAST and CLSI clinical breakpoints

Minimum biofilm eradication concentration (MBEC) of amikacin targeting S. aureus and P. aeruginosa biofilm

Given the sensitivity of both species to Amikacin in their planktonic mode of growth, we evaluated the susceptibility of their biofilms to amikacin in mixed and single species biofilms. As all isolates demonstrated susceptibility under planktonic conditions, amikacin provided a consistent baseline for assessing biofilm-associated tolerance across strains. The concentrations of amikacin ranged from 2 to 64 µg/mL and eradication was considered when the biofilm biomass was reduced by ≥ 80%. MBEC values were 64 µg/mL for all isolates except for P. aeruginosa from patient 3 and S. aureus from patient 2 where eradication was achieved with 32 µg/mL (Fig. 2A and F). 16 µg/mL of amikacin reduced the biofilm biomass in the range of 59.3%±2.2% − 67.9%±1.1% for S. aureus and by 61.5 ± 1.8% − 75.9%±0.4% for P. aeruginosa (Fig. 2A and F). The full set of MBEC values and biofilm biomass reduction percentages across all isolates are presented in Supplementary Table S3.

Fig. 2.

Fig. 2

Minimum biofilm eradication concentration of amikacin for S. aureus and P. aeruginosa biofilms. Percentage of biofilm eradication under treatment with amikacin at concentrations of 2–64 µg/mL targeting P. aeruginosa and S. aureus biofilm from patient 1 (A, D), patient 2 (B, E) and patient 3 (C, F)

S. aureus and P. aeruginosa biofilm were more tolerant to amikacin when grown in indirect contact with the alternate species

Co-cultures of S. aureus and P. aeruginosa isolated from the same patient exhibited a significantly lower percentage reduction in biomass after 24-hour treatment with 16 µg/mL amikacin compared to single-species cultures for all 3 pairs, whereas individual species showed reductions in biomass of approximately 60%. This indicated an increased tolerance to antibiotics that had previously been active against each species’ biofilm under indirect interspecies contact (p < 0.05) (Fig. 3A-C). In contrast, this pattern was not observed in co-cultures of S. aureus and P. aeruginosa isolated from different patients, where there was no significant difference between single- and mixed-species cultures (Fig. 3D–F). Detailed quantitative results of biofilm biomass reduction and susceptibility to amikacin are summarized in Supplementary Table S4, with corresponding post-treatment OD values provided in Supplementary Figure S1.

Fig. 3.

Fig. 3

Percentage reduction in biofilm biomass following amikacin treatment. Biofilm biomass reduction (%) after 24 h exposure to 16 µg/mL amikacin was calculated for all conditions. In patient-matched conditions, co-cultures (SAx-PAx and PAx-SAx) showed lower percentage reduction compared to monocultures (SAx-SAx and PAx-PAx) across Patients 1–3 (A–C). Cross-patient comparisons are shown in (D–F), where this pattern was not observed. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. t-test; ns (not significant). SA: S. aureus, PA: P. aeruginosa, SA–PA: S. aureus biomass (lower chamber) with P. aeruginosa in the upper chamber; PA–SA: P. aeruginosa biomass (lower chamber) with S. aureus in the upper chamber

The impact of PESF from S. aureus and P. aeruginosa on biofilm biomass in CRS patients

We then tested whether addition of biofilm PESF from either S. aureus or P. aeruginosa to the alternate species isolated from the same patient would affect the formation of biofilms. S. aureus or P. aeruginosa planktonic cells were incubated with concentrated PESF produced by P. aeruginosa or S. aureus from the same patient or broth control and grown to form biofilms for 48 h, followed by measuring their biomass. Results showed that the biofilm biomass of both species increased when incubated with PESF from the alternate species isolated from the same patient for all 3 patients (p < 0.05) (Fig. 4). In contrast, neither same-species PESF controls nor cross-patient PESF controls resulted in significant changes in biofilm biomass compared with monoculture controls (Supplementary Figure S3).

Fig. 4.

Fig. 4

Effect of S. aureus and P. aeruginosa PESF on biofilm biomass. Biofilm biomass of S. aureus (I) and P. aeruginosa (II) isolates from patients 1–3 (A–C) following exposure to PESF from the alternate species and measured at OD (595 nm). Control groups consisted of S. aureus or P. aeruginosa cultured alone for 48 h. PESF were added either at the start of culture and maintained for 48 h, or added after 24 h of biofilm formation and co-incubated for a further 24 h. SA: S. aureus, PA: P. aeruginosa. Statistical significance was determined using one-way ANOVA followed by Tukey’s multiple comparisons test. Significance levels: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, ns (not significant)

We next assessed whether PESF addition during early biofilm formation altered subsequent biomass accumulation. After biofilms were established for 24 h, PESF from the alternate species (same-patient isolate) were added for an additional 24 h. This 24 h add-on exposure showed a more limited effect than continuous exposure from the start of biofilm formation. In most conditions, biomass remained higher than monoculture controls without PESF, although this difference was not significant in all comparisons, while biomass remained lower than in biofilms grown in the continuous presence of PESF for 48 h (Fig. 4).

Comprehensive biomass data for all experimental conditions are provided in Supplementary Table S5.

Discussion

This research investigated the phenotype of biofilms formed by S. aureus and P. aeruginosa from CRS patients. Our findings indicated that indirect interaction between S. aureus and P. aeruginosa isolated from the same patients resulted in an increased biofilm biomass and increased tolerance to antibiotics for both species when compared to monocultures. This may reflect reciprocal interactions that promote biofilm formation in both species within the host environment. Although competitive interactions can exist in planktonic phenotypes, chronic conditions such as persistent wounds may foster cooperative mechanisms between these bacteria (Briaud et al. 2020). This was supported by the augmented biomass noted both in S. aureus and P. aeruginosa when grown in co-culture, but only when those isolates were harvested from the same niche in the same patient. Indeed, compared to monocultures, no significant increase in biofilm biomass was observed when S. aureus and P. aeruginosa isolates from different patients were co-cultured. This indicated that specific interspecies interactions pivotal for biofilm augmentation, may have evolved through coexistence within the same host.

Previous in vitro studies have shown that P. aeruginosa exhibits an inherent advantage over S. aureus through the production of exoproducts that can inhibit S. aureus respiration and impair its growth (Roman-Rodriguez et al. 2025). In contrast, our study did not show a reduction of bacterial biomass when isolates from the same or from different patients were co-cultured. This could be due to the lack of direct contact between bacterial cells in this study, where we focused on indirect interactions between bacterial biofilms of both species.

Antibiotic resistance is a significant concern in the management of chronic infections, including CRS (Paramasivan et al. 2019). This study demonstrated substantial variability in antibiotic susceptibility among the isolates. This variability may complicate the interpretation of antimicrobial responses in polymicrobial settings. Our findings are consistent with previous reports demonstrating that interspecies interactions between S. aureus and P. aeruginosa can alter antimicrobial susceptibility and enhance biofilm-associated tolerance (Trizna et al. 2020, Beaudoin et al. 2017). In the present study, indirect interactions between patient-matched CRS isolates were associated with increased tolerance to amikacin compared with the corresponding monoculture biofilms. The increased tolerance may reflect biofilm matrix–mediated protection, which can limit antimicrobial penetration and contribute to bacterial persistence (Grooters et al. 2024), potentially in combination with interaction-dependent physiological adaptation. For instance, while higher matrix production may lead to increased stability and protection of bacterial cells within the biofilm (Fulaz et al. 2019), some bacteria develop metabolic cooperation that controls resources and resistance to exogenous effects (Zhang et al. 2024). Bacterial signaling, on the other hand, may play a significant role in making these biofilm structures more resistant by regulating gene expression in response to environmental changes and antibiotic pressure (Nourbakhsh et al. 2022). However, biofilms under indirect interspecies interaction conditions did not demonstrate altered tolerance to antibiotics when S. aureus and P. aeruginosa were derived from different CRS patients. These observations indicated an important role of the source of bacteria and host environment in biofilm formation and antibiotic tolerance (Derakhshan et al. 2021, Vaughn et al. 2020). These findings suggest enhanced antibiotic tolerance under patient-matched conditions. This may reflect coordinated interactions between S. aureus and P. aeruginosa associated with coexistence within the host environment (Beaudoin et al. 2017, Brandquist and Kielian 2025). Additionally, our data showed that biofilm PESF from the alternate species contribute to the increase in biofilm biomass of S. aureus or P. aeruginosa. These adaptive interactions may enhance bacterial survival and resistance to stress (Righi et al. 2023), and likely required prolonged coexistence within patient-specific environments. Longitudinal studies have demonstrated that P. aeruginosa can persist within the airway of a single patient for years, and in some cases even decades (Kuschnerow et al. 2023). Previous work by our team has shown that around 40% of S. aureus strains persist for > 6 months within the sinonasal cavities, associated with an increase in antibiotic tolerance over time (Houtak et al. 2023). Yet, further research is required to evaluate the molecular basis of reciprocal effects on biofilm biomass unique to S. aureus and P. aeruginosa harvested from the same niche.

The findings of this study demonstrated clinical relevance for the management of CRS and emphasised the necessity of targeted therapeutic approaches that consider specific microbial interactions and resistance mechanisms. Interactions between S. aureus and P. aeruginosa strains co-inhabiting the same niche may increase biofilm formation and antibiotic tolerance in vivo, thereby exacerbating the treatment-refractory nature of associated chronic infections. Therefore, treatment strategies should account for both the identity and antimicrobial resistance profiles of co-infecting species while also targeting biofilm disruption. Further research was warranted to determine whether disrupting inter-biofilm communication could reduce biomass and enhance the efficacy of existing antimicrobial therapies. Such approaches have been explored in other bacterial systems, where interference with quorum sensing has shown potential in reducing biofilm formation and improving antibiotic susceptibility (Alum et al. 2025).

This study had several limitations. The number of bacterial isolates was limited, and biological replication was based on independent culture preparations from the same isolate rather than multiple independently sampled isolates from each patient, restricting assessment of intra-patient variability. Only S. aureus and P. aeruginosa were examined, without consideration of host immunity or broader microbial diversity. The PESF preparation represented a protein-enriched secreted fraction that may have contained extracellular vesicles and other non-proteinaceous components; therefore, the observed effects could not be attributed exclusively to protein-mediated mechanisms. The molecular basis of the observed interaction-associated effects remains unclear. Future studies are warranted to define the molecular basis of these interactions using refined fractionation approaches, additional controls, and models incorporating host responses.

Conclusions

The current study supports the notion of complex interactions between S. aureus and P. aeruginosa that are isolated from the same niche. The cohabitation of these bacteria within the same host environment might enhance PESF-mediated cooperative mechanisms associated with increased biofilm formation of both species and increased tolerance to antibiotics. Further studies are required to evaluate and identify the specific PESF that may mediate this interspecies coordinated enhancement of biofilm production.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary Material 1 (2.4MB, docx)

Acknowledgements

The authors sincerely thank Dr. Sintayehu Wondemagegn for his valuable academic insights and guidance in data analysis and visualization for this study.

Author contributions

X. S. was responsible for performing experiments, data collection and organization, and drafting the manuscript. C. C., E. B. and M. A. provided experimental guidance, assisted with data analysis, and contributed to manuscript revision. A. P. and PJ. W. contributed to the development of the research concept, defined the research direction, and supervised the overall progress of the study. S. V. was responsible for formulating the research direction, overseeing the final quality control, and critically reviewing the manuscript.

Funding

Open Access funding enabled and organized by CAUL and its Member Institutions. Not applicable.

Data availability

The data supporting the findings of this study are available from the corresponding author upon reasonable request. Due to institutional regulations, the raw data are stored on secure laboratory servers and cannot be deposited in a public repository. Data requests may be directed to the corresponding author, Prof. Sarah Vreugde, at sarah.vreugde@adelaide.edu.au, or to the co-author Xiaohan Sun at xiaohan.sun@adelaide.edu.au.

Declarations

Conflict of interest

The authors declare that there is no conflict of interest.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  1. Ahmad M et al (2025) The role of bacterial metabolism in antimicrobial resistance. Nat Rev Microbiol 23(7):439–454 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Alammar Y et al (2023) The Effect of Corticosteroids on Sinus Microbiota in Chronic Rhinosinusitis Patients with Nasal Polyposis. Am J Rhinol Allergy 37(6):638–645 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Alum EU et al (2025) Natural product-based inhibitors of quorum sensing: A novel approach to combat antibiotic resistance. Biochem Biophys Rep 43:102111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Beaudoin T et al (2017) Staphylococcus aureus interaction with Pseudomonas aeruginosa biofilm enhances tobramycin resistance. NPJ Biofilms Microbiomes 3:25 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bin L et al (2025) Accurate quantitation of antibiotic penetration through staphylococcal biofilms. Biofilm 10:100316 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Brandquist ND, Kielian T (2025) Immune dysfunction during S. aureus biofilm-associated implant infections: opportunities for novel therapeutic strategies. NPJ Biofilms Microbiomes 11(1):144 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Briaud P et al (2020) Impact of Coexistence Phenotype Between Staphylococcus aureus and Pseudomonas aeruginosa Isolates on Clinical Outcomes Among Cystic Fibrosis Patients. Front Cell Infect Microbiol 10:266 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Broderick D et al (2025) Polymicrobial biofilms in chronic rhinosinusitis: a scoping review. J Med Microbiol, 74(12) [DOI] [PMC free article] [PubMed]
  9. (CLSI) (2023) C.a.L.S.I., Performance Standards for Antimicrobial Susceptibility Testing; 33rd Edition (M100). CLSI
  10. DeConde AS, Soler ZM (2016) Chronic rhinosinusitis: Epidemiology and burden of disease. Am J Rhinol Allergy 30(2):134–139 [DOI] [PubMed] [Google Scholar]
  11. Dehbashi S et al (2024) Staphopain mediated virulence and antibiotic resistance alteration in co-infection of Staphylococcus aureus and Pseudomonas aeruginosa: an animal model. BMC Biotechnol 24(1):10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Derakhshan S, Navidinia M, Haghi F (2021) Antibiotic susceptibility of human-associated Staphylococcus aureus and its relation to agr typing, virulence genes, and biofilm formation. BMC Infect Dis 21(1):627 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Fokkens WJ et al (2020) European Position Paper on Rhinosinusitis and Nasal Polyps 2020. Rhinology 58(Suppl S29):1–464 [DOI] [PubMed] [Google Scholar]
  14. Fulaz S et al (2019) Nanoparticle-Biofilm Interactions: The Role of the EPS Matrix. Trends Microbiol 27(11):915–926 [DOI] [PubMed] [Google Scholar]
  15. García-Contreras R, Maeda T, Wood TK (2016) Can resistance against quorum-sensing interference be selected? Isme j 10(1):4–10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Grooters KE et al (2024) Strategies for combating antibiotic resistance in bacterial biofilms. Front Cell Infect Microbiol 14:1352273 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Houtak G et al (2023) The intra-host evolutionary landscape and pathoadaptation of persistent Staphylococcus aureus in chronic rhinosinusitis. Microb Genom, 9(11) [DOI] [PMC free article] [PubMed]
  18. Kaliniak S et al (2024) Remodeling of Paranasal Sinuses Mucosa Functions in Response to Biofilm-Induced Inflammation. J Inflamm Res 17:1295–1323 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Kuschnerow P et al (2023) Competitive survival of clonal serial Pseudomonas aeruginosa isolates from cystic fibrosis airways in human neutrophils. iScience 26(4):106475 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Landa G et al (2024) Impact of mixed Staphylococcus aureus-Pseudomonas aeruginosa biofilm on susceptibility to antimicrobial treatments in a 3D in vitro model. Sci Rep 14(1):27877 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Liu HY, Prentice EL, Webber MA (2024) Mechanisms of antimicrobial resistance in biofilms. NPJ Antimicrob Resist 2(1):27 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Naidoo Y et al (2013) Chronic rhinosinusitis assessment using the Adelaide Disease Severity Score. J Laryngol Otol 127(Suppl 2):S24–S28 [DOI] [PubMed] [Google Scholar]
  23. Nourbakhsh F et al (2022) Bacterial biofilms and their resistance mechanisms: a brief look at treatment with natural agents. Folia Microbiol (Praha) 67(4):535–554 [DOI] [PubMed] [Google Scholar]
  24. Panchatcharam BS et al (2020) Staphylococcus aureus biofilm exoproteins are cytotoxic to human nasal epithelial barrier in chronic rhinosinusitis. Int Forum Allergy Rhinol 10(7):871–883 [DOI] [PubMed] [Google Scholar]
  25. Paramasivan S et al (2019) The international sinonasal microbiome study (ISMS): a multi-centre, international characterization of sinonasal bacterial ecology. bioRxiv, : p. 548743 [DOI] [PubMed]
  26. Righi E et al (2023) ESCMID/EUCIC clinical practice guidelines on perioperative antibiotic prophylaxis in patients colonized by multidrug-resistant Gram-negative bacteria before surgery. Clin Microbiol Infect 29(4):463–479 [DOI] [PubMed] [Google Scholar]
  27. Roman-Rodriguez F et al (2025) Pseudomonas aeruginosa-secreted respiratory toxin HQNO triggers fatty acid accumulation in respiring Staphylococcus aureus, decreasing SaeRS-dependent transcriptional regulation. J Bacteriol 207(11):e0039525 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Scaffo J et al (2025) In Vitro Analysis of Interactions Between Staphylococcus aureus and Pseudomonas aeruginosa During Biofilm Formation. Antibiot (Basel), 14(5) [DOI] [PMC free article] [PubMed]
  29. Shaghayegh G et al (2023) Chronic rhinosinusitis patients display an aberrant immune cell localization with enhanced S aureus biofilm metabolic activity and biomass. J Allergy Clin Immunol 151(3):723–736e16 [Google Scholar]
  30. Shaghayegh G et al (2023) Staphylococcus aureus biofilm properties and chronic rhinosinusitis severity scores correlate positively with total CD4 + T-cell frequencies and inversely with its Th1, Th17 and regulatory cell frequencies. Immunology 170(1):120–133 [DOI] [PubMed] [Google Scholar]
  31. Shaghayegh G et al (2024) S. aureus biofilm properties correlate with immune B cell subset frequencies and severity of chronic rhinosinusitis. Clin Immunol 263:110221 [DOI] [PubMed] [Google Scholar]
  32. Tacconelli E et al (2018) Discovery, research, and development of new antibiotics: the WHO priority list of antibiotic-resistant bacteria and tuberculosis. Lancet Infect Dis 18(3):318–327 [DOI] [PubMed] [Google Scholar]
  33. Testing EC (2019) o.A.S., Breakpoint tables for interpretation of MICs and zone diameters. version
  34. Trizna EY et al (2020) Bidirectional alterations in antibiotics susceptibility in Staphylococcus aureus-Pseudomonas aeruginosa dual-species biofilm. Sci Rep 10(1):14849 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Vaughn JM et al (2020) Genetic diversity and virulence characteristics of Staphylococcus aureus isolates from cases of bovine mastitis. Microb Pathog 144:104171 [DOI] [PubMed] [Google Scholar]
  36. Vestweber PK et al (2024) The interplay of Pseudomonas aeruginosa and Staphylococcus aureus in dual-species biofilms impacts development, antibiotic resistance and virulence of biofilms in in vitro wound infection models. PLoS ONE 19(5):e0304491 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Widder S et al (2024) Microbial community organization designates distinct pulmonary exacerbation types and predicts treatment outcome in cystic fibrosis. Nat Commun 15(1):4889 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Wiegand I, Hilpert K, Hancock RE (2008) Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances. Nat Protoc 3(2):163–175 [DOI] [PubMed] [Google Scholar]
  39. XS MM et al (2026) Patient-Specific Coculture of S. aureus and P. aeruginosa Enhances Epithelial Barrier Disruption and Virulence in CRS. Int Forum Allergy Rhinol 16(1):43–54 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Zhang Y et al (2024) Spatially structured exchange of metabolites enhances bacterial survival and resilience in biofilms. Nat Commun 15(1):7575 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Data Availability Statement

The data supporting the findings of this study are available from the corresponding author upon reasonable request. Due to institutional regulations, the raw data are stored on secure laboratory servers and cannot be deposited in a public repository. Data requests may be directed to the corresponding author, Prof. Sarah Vreugde, at sarah.vreugde@adelaide.edu.au, or to the co-author Xiaohan Sun at xiaohan.sun@adelaide.edu.au.


Articles from Archives of Microbiology are provided here courtesy of Springer

RESOURCES