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Article

Resisting the Final Line: Phenotypic Detection of Resistance to Last-Resort Antimicrobials in Gram-Negative Bacteria Isolated from Wild Birds in Northern Italy

by
Maria Cristina Rapi
1,*,
Joel Filipe
1,
Laura Filippone Pavesi
1,
Stefano Raimondi
2,
Maria Filippa Addis
1,
Maria Pia Franciosini
3 and
Guido Grilli
1
1
Dipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Via dell’Università 6, 26900 Lodi, Italy
2
Centro Recupero Fauna Selvatica (CRAS)—“Bosco WWF di Vanzago”, Via delle 3 Campane, 20043 Vanzago, Italy
3
Dipartimento di Medicina Veterinaria, Università degli studi di Perugia, Via San Costanzo 4, 06126 Perugia, Italy
*
Author to whom correspondence should be addressed.
Animals 2025, 15(15), 2289; https://doi.org/10.3390/ani15152289
Submission received: 4 July 2025 / Revised: 28 July 2025 / Accepted: 1 August 2025 / Published: 5 August 2025
(This article belongs to the Section Birds)

Simple Summary

Antimicrobial resistance represents a critical global health challenge, affecting human, animal, and environmental health. Wild birds, due to their mobility and ecological diversity, are increasingly recognized as potential carriers and spreaders of resistant bacteria. In this study, we examined wild birds that died at a wildlife rescue center in northern Italy to investigate the presence of Gram-negative bacteria in their intestinal tract and assess their antimicrobial resistance profiles. Cloacal samples were collected from 112 birds. A total of 157 Gram-negative bacterial isolates were identified, including clinically significant species. Notably, many isolates exhibited resistance to first-line and critically important antimicrobials, including those reserved for human medicine. Additionally, several isolates showed resistance patterns suggestive of mechanisms that further enhance their ability to withstand treatment. Resistance was more pronounced in carnivorous, scavenging, and migratory birds. These findings highlight the important role wild birds may play in the environmental dissemination of antimicrobial resistance and underscore the need for their inclusion in surveillance programs, supporting a One Health approach.

Abstract

Antimicrobial resistance (AMR) is a growing global health threat, with wild birds increasingly recognized as potential reservoirs of resistant pathogens and as sentinels of environmental AMR. This study investigated the occurrence and AMR profiles of Gram-negative bacteria isolated from wild birds that died at the Wildlife Rescue Center in Vanzago, Lombardy, in 2024. Cloacal swabs were collected from 112 birds representing various ecological categories. A total of 157 Gram-negative bacteria were isolated and identified, including clinically relevant genera and species, such as Escherichia coli, Klebsiella pneumoniae, Enterobacter spp., Salmonella spp., Pseudomonas aeruginosa, and Acinetobacter baumannii. Antimicrobial susceptibility testing revealed resistance to first-line and critically important antimicrobials, including those exclusively authorized for human use. Notably, a phenotype compatible with Extended-Spectrum Beta-Lactamase (ESBL) production was detected in four out of ten (40%) K. pneumoniae isolates. In addition, 20 out of the 157 (12.7%) isolated bacteria phenotypically exhibited a resistance profile indicative of AmpC beta-lactamase (AmpC) production, including Enterobacter spp. and P. aeruginosa. Resistance patterns were particularly interesting in birds with carnivorous, scavenging, or migratory-associated behaviors. These findings highlight the role of wild birds in the ecology and dissemination of antimicrobial-resistant bacteria (ARB) and highlight the need for wildlife-based AMR monitoring programs as part of a One Health approach.

1. Introduction

Antimicrobial resistance (AMR) is widely recognized as one of the most urgent global health threats of the 21st century [1,2,3,4]. In 2019, AMR was responsible for an estimated 1.27 million deaths worldwide [5], and projections from the Review on Antimicrobial Resistance suggest that, by 2050, drug-resistant infections could cause up to 10 million deaths annually and result in a cumulative global economic loss of 100 trillion USD [6].
Although AMR is a natural occurring phenomenon, its rapid emergence and global spread have been accelerated by the misuse and overuse of antimicrobials in human medicine, veterinary practice, and agriculture, leading to the development and dissemination of resistance in both pathogenic and commensal bacteria [7,8,9,10]. To mitigate public health risks, the World Health Organization (WHO) introduced the list of Critically Important Antimicrobials (CIAs), updated in 2024 as the list of Medically Important Antimicrobials (MIAs), which categorizes drugs by their importance to human medicine [11,12]. These categories are intended to support risk-based decision-making by promoting the responsible use of antimicrobials in both human and veterinary medicine, ensuring that critically important drugs are not misused in food-producing animals while guiding the selection of veterinary agents with minimal AMR risk to humans [12]. In parallel, the Antimicrobial Advice ad hoc Expert Group (AMEG) categorizes antimicrobials into four groups (A–D) based on their suitability for veterinary use and public health risk [13]. This global framework reflects the principles of the One Health approach, which recognizes the close interconnection of human, animal, and environmental health [12,13,14]. Accordingly, AMR must be addressed not only in clinical settings, but also with consideration of environmental reservoirs, as antimicrobial-resistant bacteria (ARB) and antimicrobial-resistance genes (ARGs) have been widely detected in soil, surface waters, wastewater, and wild animals, including those not directly exposed to antimicrobial treatments [15,16]. In this context, wild birds are particularly important sentinels of AMR spread due to their high mobility, ecological diversity, and frequent interactions with both natural and anthropogenic environments, that make them effective bioindicators of environmental AMR contamination [15,17,18]. Several studies have reported the presence of bacteria resistant to last-resort antimicrobials in wild birds, raising concerns regarding human health and the dissemination of clinically relevant resistance mechanisms to diverse ecosystems [15,18,19]. For instance, Escherichia coli producing Extended-Spectrum Beta-Lactamases (ESBLs) and resistant to third-generation cephalosporins have been isolated from wild birds in both Europe and Asia [20,21]. Other studies have detected Enterobacteriaceae resistant to fluoroquinolones in aquatic birds, raptors, and passerines [15,18]. Carbapenem-resistant E. coli have also been identified in various wild bird species across multiple continents [15,22].
In this context, the present study aims to conduct a preliminary investigation, based solely on phenotypic detection methods, into the occurrence of AMR Gram-negative bacteria in cloacal samples collected from wild birds deceased at a wildlife rescue center in Lombardy region (northern Italy). These bacteria are known for their ability to acquire mobile genetic elements, such as plasmids, which makes them one of the most hazardous microorganisms for human health [23]. By considering antimicrobials critically important for human health, including those classified as “Authorized for use in humans only” and “Highest priority critically important antimicrobials” (HPCIAs) in the WHO MIAs list, as well as those assigned to the category A in the AMEG classification, this study contributes to the current knowledge on wildlife as potential reservoirs of AMR. Furthermore, it provides new insights into the phenotypically detectable presence of resistance to life-saving antimicrobials in wild birds in northern Italy, offering valuable data that may support One Health-based surveillance strategies, environmental risk assessments, and future policy development aimed at mitigating the spread of AMR.

2. Materials and Methods

2.1. Sample Collection

This study was conducted over a six-month period, from March to August 2024. All wild birds included either died spontaneously or were humanely euthanized at the wildlife rescue center WWF of Vanzago (Lombardy region), a facility dedicated to the sheltering and recovery of wild animals. The wildlife rescue center of Vanzago is the largest facility of its kind in northern Italy in terms of annual admissions and serves as a reference point for other regions in the country. It typically receives animals from over half of the provinces in Lombardy, covering nearly 70% of the region’s territory. At the Vanzago rescue center, every wild animal receives a medical evaluation upon admission. Each individual is assigned a unique identifier, and a dedicated clinical record is created. This record provides veterinarians and staff with detailed information on the individual, including clinical data, anamnesis, and any pharmacological treatments administered to the animal in relation to its clinical condition.
At this facility, euthanasia of wild birds is performed by the center’s veterinary medical director in accordance with national animal welfare legislation, and only in cases of severe illness, injury, or debilitation, or when release into the wild is not feasible. Therefore, no animals were deliberately or specifically sacrificed for the purposes of this study. Only individuals that had not received any pharmacological treatment were eligible for inclusion in the study.

2.2. Microbiological Analysis

Following death, the birds were transported and stored under refrigerated conditions to the Department of Veterinary Medicine and Animal Science of the University of Milan, for post mortem examination. During necropsy, intestinal content was collected for microbiological analysis. Each fecal sample underwent bacteriological examination for the detection of Enterobacteriaceae, intended here as the bacterial genera traditionally classified within this family prior to the reclassification (e.g., Morganella spp., Proteus spp., Providencia spp., Hafnia spp., and Serratia spp.) [24,25], and non-Enterobacteriaceae, defined in the present study as bacteria belonging to families and genera outside the order Enterobacterales. An enrichment phase was carried out by inoculating the fecal material into sterile tubes containing 10 mL of Buffered Peptone Water (BPW) (ThermoFisher, Oxoid, UK), followed by incubation at 37 °C for 24 h. Subsequently, the samples were streaked onto different media simultaneously, represented by Blood agar (ThermoFisher, Oxoid, UK), MacConkey agar (ThermoFisher, Oxoid, UK), and Brilliance UTI Clarity agar (ThermoFisher, Oxoid, UK), and incubated aerobically at 37 °C for 24 h. Following incubation, bacterial growth was assessed, and isolated colonies were identified at the species level using Matrix-Assisted Laser Desorption/Ionization–Time of Flight (MALDI-TOF) mass spectrometry with the MBT Microflex LT/SH MALDI-TOF mass spectrometer (Bruker Daltonik GmbH, Bremen, Germany), according to the protocol described by Rosa et al. [26].
For the isolation of Salmonella spp., samples were analyzed following the method outlined in the International Standards ISO 6579-1:2017 [27]. Colonies grown on differential media for Salmonella spp. detection were confirmed and identified only at the genus level using the MBT Microflex LT/SH MALDI-TOF mass spectrometer (Bruker Daltonik GmbH, Bremen, Germany). Serotyping of confirmed Salmonella spp. isolates was not performed.

2.3. Antimicrobial Susceptibility Testing (AST)

The disk diffusion method was performed as described in the literature [28,29], and according to the procedure described in the Clinical & Laboratory Standards Institute (CLSI) and provided by the European Committee on Antimicrobial Susceptibility Testing (EUCAST) [30,31]. One to four colonies were suspended in 5 mL of sterile distilled water to achieve a 0.5 McFarland turbidity standard. The suspension was then streaked onto Mueller–Hinton agar plates (ThermoFisher, Oxoid, UK), and isolates were tested against various antimicrobial agents using commercial antimicrobial disks (ThermoFisher, Oxoid, UK). The selection of antimicrobial panels was based on the study objectives and the bacterial orders identified, considering their intrinsic resistance (IR) profiles as defined by EUCAST and CLSI guidelines [30,32].
For Enterobacterales and Burkholderiales, susceptibility to 20 antimicrobial agents across 11 antimicrobial classes was evaluated: gentamicin (CN, 10 μg), cefotaxime (CTX, 5 μg), ceftazidime (CAZ, 10 μg), cefepime (FEP, 30 μg), cefoxitin (FOX, 30 μg), tetracycline (TE, 30 μg), doxycycline (DO, 30 μg), levofloxacin (LEV, 5 μg), ciprofloxacin (CIP, 5 μg), meropenem (MEM, 10 μg), imipenem (IPM, 10 μg), ampicillin (AMP, 10 μg), sulfamethoxazole/trimethoprim (SXT, 1.25/23.75 μg), amoxicillin/clavulanic acid (AMC, 20/10 μg), chloramphenicol (C, 30 μg), ceftazidime/avibactam (CZA, 10/4 μg), tigecycline (TGC, 15 μg), aztreonam (ATM, 30 μg), piperacillin (PRL, 30 μg) and piperacillin/tazobactam (TZP, 30/6 μg).
Pseudomonadales were tested with a modified panel, excluding FOX, AMP, AMC, and C, based on known IR profiles. Additionally, given the presence of breakpoints only on CLSI supplement M100 [30], disks containing 30 μg were used for all the tested third-generation cephalosporins (CTX, CAZ), as well as disks containing 100 μg and 100/10 μg for PRL and TZP, respectively, for Acinetobacter spp. AST. Similarly, in order to evaluate the antimicrobial resistance profile of Pseudomonas aeruginosa, the breakpoints established by the CLSI M100 supplement were preferred. Accordingly, disks containing 30 μg were used to test third-generation cephalosporins (CTX, CAZ), while disks containing 100 μg and 100/10 μg were employed for testing piperacillin (PRL) and piperacillin–tazobactam (TZP), respectively.
Bacterial susceptibility to each antimicrobial agent was first classified as susceptible (S), intermediate (I), and resistant (R) based on the breakpoints provided by the EUCAST and CLSI. Isolates showing intermediate susceptibility were then considered susceptible for interpretation purposes [33,34]. As a general rule, EUCAST breakpoints were preferably used [34,35]; if not available, CLSI supplement M100 breakpoints were used [30,36]. In cases lacking established breakpoints, epidemiological cut-off values (ECOFFs), literature data, or breakpoints for related species were used [37,38,39,40].
Additionally, all bacterial isolates were tested for colistin (CS, 0.016–256 μg/mL) susceptibility using MIC Test Strips (Liofilchem s.r.l., Roseto degli Abruzzi, Italy). Results were interpreted following manufacturer’s instructions [41]. The breakpoints used for the interpretation of phenotypic test results, along with their corresponding sources, are reported in the Supplementary Materials, Table S1.
Multi-drug resistant (MDR) bacteria were defined as those exhibiting resistance to at least one antimicrobial agent in three or more antimicrobial classes [42].

2.4. Phenotypic Detection of Resistance Profiles Compatible with ESBL and AmpC Beta-Lactamase Production

In order to identify resistance profiles consistent with ESBL production, all the isolates were streaked onto CHROMAgar™ ESBL plates (CHROMagar, Paris, France) according to the manufacturer’s instructions, and simultaneously were subjected to the double-disk synergy test (DDST). In accordance with EUCAST guidelines [43], the DDST was performed using ceftazidime (CAZ, 30 μg), cefotaxime (CTX, 30 μg), and amoxicillin/clavulanic acid (AMC, 30 μg) disks.
Resistance profiles suggestive of AmpC beta-lactamase production were phenotypically assessed using the cefoxitin screening test, followed by confirmation via the disk approximation test [44,45]. As described in the literature, AmpC-compatible (cAmpC) profile detection was performed by inoculating Mueller–Hinton agar plates (ThermoFisher, Oxoid, UK) with the tested isolate. Bacterial isolates with a cefoxitin zone diameter of less than 18 mm in the disk diffusion method were considered potential AmpC producers and were further examined using phenotypic testing via the disk approximation test, employing ceftazidime (CAZ, 30 μg), imipenem (IPM, 10 μg), cefoxitin (FOX, 30 μg), and amoxicillin/clavulanic acid (AMC, 20/10 μg) disks. Isolates for which the results of these tests were ambiguous or difficult to interpret were further analyzed using MASTDISCS® Combi AmpC Detection Set (Mast Group Ltd., UK); results were interpreted following manufacturer’s instructions.

2.5. Quality Control

To ensure the reliability of incubation conditions and culture media performance, as well as the quality and accuracy of AST procedures, American Type Culture Collection (ATCC) standard reference (E. coli ATCC 25922) and National Collection of Type Cultures (NCTC) (E. coli NCTC 13846) strains were used.

2.6. Sample Size Assesment

Sample size was calculated using the formula described by Thrusfield [46]. In the absence of prior regional data, a conservative estimate of the lowest reported prevalence of resistance to key antimicrobials of critical importance in human medicine, particularly colistin, was used. Based on a review of the available literature, and focusing on this molecule, the lowest reported prevalence of resistance in wild bird-associated bacteria was 0.85% [15,47,48,49,50,51,52]. A 95% confidence level (CI) and ±2% precision were chosen to ensure robust detection of rare resistance profiles. This yielded a required minimum sample size of 81 birds to ensure sufficient power for detecting low-frequency resistance patterns.

2.7. Statistical Analysis

All statistical analyses were conducted in SPSS version 29.0 (IBM Corp., Armonk, NY USA). Initially, each potential predictor, age class (juvenile vs. adult), feeding behavior (granivorous, omnivorous, carnivorous, etc.), spatial behavior (sedentary vs. migratory), and habitat (synanthropic vs. wildland species), was tested in a univariable logistic regression against each binary outcome (major pathogen isolation, Salmonella presence, or AMR pattern in bacteria isolated from different wild birds’ categories), and those variables achieving a p-value below 0.20 were retained for multivariable modeling. In the subsequent multivariable logistic regression, we assessed and excluded any predictors with variance inflation factors ≥3 to guard against multicollinearity, and we confirmed that each retained variable contributed significantly to model deviance using likelihood-ratio tests. Final models reported odds ratios (ORs), with statistical significance set at p ≤ 0.05 and p-values between 0.05 and 0.10 noted as trends toward significance. Model calibration was evaluated by the Hosmer–Lemeshow goodness-of-fit test, where a non-significant result (p > 0.05) indicated acceptable fit, and any case with missing data on included variables was excluded listwise.

3. Results

Over the six-month sampling period, 112 wild birds representing 37 different species belonging to 13 orders were collected (Table 1).

3.1. Bacterial Isolation and Identification

From a total of 112 wild bird specimens sampled, 254 bacteria were isolated and identified. Of these, 157 (61.8%) were Gram-negative bacteria belonging to three taxonomic orders, namely Enterobacterales (n = 148/157, 94.3%), Pseudomonadales (n = 7/157, 4.4%), and Burkholderiales (n = 2/157, 1.3%) (Supplementary Materials, Figure S1).
Among Enterobacterales, the most frequently isolated species was Escherichia coli (n = 66/148, 44.6%), followed by Proteus mirabilis (n = 31/148, 20.9%), Salmonella spp. (n = 11/148, 7.4%), and Klebsiella pneumoniae (n = 10/148, 6.7%). Other isolated potentially pathogenic species within this order included Enterobacter hormaechei (n = 5), Klebsiella oxytoca (n = 3), and Serratia marcescens (n = 1), as reported in Supplementary Materials, Figure S1. Within the Pseudomonadales order, Pseudomonas aeruginosa accounted for the majority of isolates (n = 5/7, 71.4%). Additional clinically relevant species within this order included Acinetobacter pittii (n = 1; 14.3%) and Acinetobacter baumannii (n = 1; 14.3%) (Supplementary Materials, Figure S1). With reference to the Burkholderiales order, only one isolate each of Comamonas kerstersii and Achromobacter mucicolens was recovered from the sampled animals, as shown in Supplementary Materials, Figure S1.
Among the most frequently isolated bacterial genera, Escherichia spp. was identified in a wide variety of hosts (18 out of 37 wild bird species sampled), making it the genus with the highest number of associations with different bird species. Other genera isolated from several bird species included Proteus spp. (11 wild bird species), Klebsiella spp., and Salmonella spp. (each from 8 different avian species). These findings are reported in Supplementary File, Table S2, and graphically represented in Figure 1.

3.2. Phenotypic AMR Profile of Bacteria Isolates

The isolates showed a variety of antimicrobial resistance patterns, as reported in Supplementary Materials, Tables S3–S5.
Regarding Enterobacterales, a significant range of resistance profiles among different antimicrobial types and bacterial species was identified, as illustrated in Figure 2 and detailed in Supplementary Materials, Table S6. The total number of isolates resistant to the tested antimicrobial agents was determined excluding those whose resistance is intrinsically determined. Resistance to CN was observed in only 4.7% (n = 7/148) of isolates, while third- and fourth-generation cephalosporins displayed resistance rates ranging from 2.7% (n = 4/148) for CAZ to 3.4% (n = 5/148) for both CTX and FEP, with most of the resistant isolates belonging to K. pneumoniae. Notably, resistance to CZA was low (0.7%), with only one isolate of L. amnigena classified as not susceptible. Moreover, resistance to fluoroquinolones was moderate, with 6.7% (n = 10/148) and 3.4% (n = 5/148) of isolates resistant to CIP and LEV, respectively, mainly involving E. coli and K. pneumoniae. In contrast, no resistance to carbapenem was detected. Regarding penicillins, AMP and PRL displayed higher resistance levels, with 23.6% (n = 35/148) and 25% (n = 37/148) of all the isolates classified as resistant. On the opposite end, resistance to TZP and AMC remained limited, at 1.3% (n = 2/148) and 4% (n = 6/148), respectively. Among tetracyclines, DO showed lower resistance rates (6.1%, n = 9/148) compared to TE (19.6%, n = 29/148), with 33% (n = 22/66) of E. coli and 40% (n = 4/10) of K. pneumoniae isolates being resistant to the latter molecule. Resistance to TGC was observed in 6.1% (n = 9/148) of the Enterobacterales isolates. Resistance to SXT and C was moderate, recorded at 11.5% (n = 17/148) and 9.5% (n = 14/148). Regarding monobactam, resistance to ATM was identified in 4.7% of isolates (n = 7/148), primarily in K. pneumoniae. Resistance to CS was detected in 6 out of 148 (4%) tested Enterobacterales, with 6% of E. coli (n = 4/66) and 20% of K. pneumoniae (n = 2/10) isolates being resistant to this molecule.
Antimicrobial susceptibility profiles of Pseudomonadales are summarized in Table S7 in Supplementary Materials. Resistance among this group was overall low, with no acquired resistance detected among the P. aeruginosa isolates. For A. baumannii and A. pittii, resistance was limited, with both isolates resistant to CTX, which resulted in a total CTX resistance rate of 28.6% (n = 2/7) within the order. Additionally, A. pittii was reported as resistant to PRL.
AST results of the two isolates within the Burkholderiales order revealed no acquired resistance to the tested antimicrobial agents (Supplementary Materials, Table S8). However, interpretation of the results was limited by the lack of defined breakpoints for most agents; in particular, for C. kerstersii, no interpretive analysis could be conducted.
Of the 157 Gram-negative bacteria tested, 24 (15.3%) exhibited a MDR profile. All MDR isolates belonged to the order Enterobacterales (Supplementary Materials, Table S3); among these, 50% (n = 12/24) were E. coli isolates, 20% (n = 5/24) were K. pneumoniae isolates, and 12% (n = 3/24) were P. mirabilis isolates.

3.3. Phenotypic Detection of Resistance Profiles Compatible with ESBL and AmpC Beta-Lactamase Production

Of the 157 isolated Gram-negative bacteria, 3.2% (n = 5/157) showed a resistance profile compatible with ESBL production (cESBL) and 12.7% (n = 20/157) presented a cAmpC profile.
A total of four cESBL isolates were Enterobacterales (n = 4/148, 3.4%), all of them belonging to the K. pneumoniae species. These exhibited resistance to third- and fourth-generation cephalosporins, penicillins, and aztreonam (Supplementary Materials, Table S3). The remaining cESBL was identified as A. pittii, belonging to the order Pseudomonadales (Supplementary Materials, Table S4). Concerning cAmpC, five isolates belonged to the order Pseudomonadales, specifically P. aeruginosa (Supplementary Materials, Table S4), with the remaining cAmpC isolates belonged to the Enterobacterales order (Supplementary Materials, Table S3).
A substantial proportion of the cESBL and cAmpC isolates were also classified as MDR, as detailed in Supplementary Materials, Tables S3–S5.

3.4. Factors Associated with Pathogen Isolation and Antimicrobial Resistance

Binary logistic regression analysis showed that age was associated with a borderline reduced risk of major pathogen isolation, with adults being less likely than juveniles to carry pathogens (OR = 0.55, p = 0.058). Living in wild habitats also showed a trend toward protection (OR = 0.45, p = 0.10) (Supplementary Materials, Table S9). Regarding Salmonella isolation, granivorous diets were significantly protective compared to carnivorous/scavenger diets (OR = 0.14, p = 0.004), while non-wild (anthropized) habitats showed a strong trend toward increased risk (OR = 12.29, p = 0.063), as reported in Supplementary Materials, Table S10. In the analysis of antimicrobial resistance in E. coli, only spatial behavior was significantly associated with piperacillin resistance (OR = 0.28, p = 0.048), indicating that sedentary individuals were less likely to carry resistant strains (Supplementary Materials, Table S11). No other significant associations were found for other specific bacterial species and/or AMR.

4. Discussion

This study analyzed 112 intestinal samples from wild birds that died naturally or were humanely euthanized at the wildlife rescue center of Vanzago (Italy), to assess the presence and antimicrobial resistance of Gram-negative bacteria, including antimicrobials critical to human medicine. Bacteriological analysis resulted in the isolation of a wide range of bacterial species, many of which are recognized as human pathogens [53], with AST revealing a broad distribution of resistance to several of the tested antimicrobial agents.
Among Enterobacterales, Klebsiella pneumoniae and Enterobacter spp. were identified, both members of the ‘ESKAPE’ group. This acronym refers to a group of highly virulent and AMR pathogens known for their role in nosocomial infections and associated with increased mortality in humans [54,55]. K. pneumoniae was isolated in 10 out of 112 (8.9%) wild birds, including both synanthropic and migratory species. The tendency of many wild birds to inhabit urbanized areas is considered a major factor in their exposure to environmental bacteria, including enteric pathogens, thereby increasing the risk of infection and zoonotic transmission [56]. Population density is another influential factor in bacterial circulation; for instance, large aggregations at migratory stopovers or nesting sites facilitate horizontal transmission of pathogens due to frequent interindividual and interspecies contact [56,57]. Furthermore, migration-related stress and immunosuppression may promote both the acquisition and dissemination of infectious agents [53]. Statistical analysis supported these considerations, highlighting that wildland species were less likely to carry major human pathogens (OR = 0.45; p = 0.10). Additionally, birds’ age showed a statistical tendency effect on major-pathogen isolation (OR = 0.551, p = 0.058), suggesting that adults are less likely than juveniles to carry such pathogens. This finding is consistent with previous studies identifying age as a predictor of the presence of human pathogens and antimicrobial resistance, with younger animals (particularly juvenile gulls) shedding higher proportions of resistant bacteria, likely due to age-related differences in diet and exposure and gut microbiota composition [58,59,60]. Nevertheless, data concerning other avian species are lacking in the literature, highlighting the need for further research on this topic to better understand the role of juvenile wild birds in the dissemination of ARB.
Regarding the AMR profile of K. pneumoniae isolates, the highest resistance rates were observed against piperacillin (n = 5/10, 50%), ciprofloxacin (n = 4/10, 40%), tetracycline (n = 4/10, 40%), and sulfamethoxazole/trimethoprim (n = 3/10, 30%), followed by piperacillin/tazobactam (n = 2/10, 20%). These results partially align with previous studies reporting a general trend of resistance to tetracyclines, sulfonamides, aminoglycosides, phenicols, and fluoroquinolones [61,62,63]. Additionally, four of the K. pneumoniae isolates (n = 4/10, 40%), from an Alpine Swift (Tachymarptis melba), a European pied Flycatcher (Ficedula hypoleuca), a Common Redstart (Phoenicurus phoenicurus), and a Common Blackbird (Turdus merula), exhibited resistance to third-generation cephalosporins and aztreonam. These isolates also demonstrated resistance to cefepime, a fourth-generation broad-spectrum cephalosporin that has been employed in the treatment of severe infections caused by ESBL-producing Gram-negative bacteria [64]. Notably, 75% (n = 3/4) of the cESBL-producing K. pneumoniae isolates also displayed a MDR profile. Our phenotypic-only results are consistent with previous studies reporting ESBL-producing and MDR K. pneumoniae in wild birds [50,63,65], underscoring the potential role of wild avifauna in the dissemination of ARB of critical importance to human health. Indeed, all antimicrobial agents to which the K. pneumoniae isolates showed resistance in this study are classified as medically important for human medicine [12]. In particular, broad-spectrum beta-lactam antibiotics are among the most essential classes of antimicrobials for human use, while piperacillin and piperacillin/tazobactam are authorized exclusively for human use [12]. Furthermore, in the WHO’s most recent update (2024), third-generation cephalosporin-resistant Enterobacterales (3GCRE) were included in the “critical group” of the Bacterial Priority Pathogens List, owing to their public health risk, limited therapeutic options, and high disease burden. Specifically, 3GCRE-K. pneumoniae poses a particular threat to pediatric populations, complicating first-line antimicrobial treatment, contributing to neonatal sepsis, and being associated with increased morbidity and mortality, particularly in low- and middle-income countries [66].
Enterobacter species are well-documented in avian hosts but are generally not associated with disease outbreaks in birds [56]. In this study, the identified species included Enterobacter hormaechei, isolated from five out of 112 sampled wild birds (4.5%), and Enterobacter roggenkampii, recovered from a single European Serin (Serinus serinus) (0.9%). With regard to antimicrobial resistance profiles, none of the E. hormaechei isolates exhibited acquired resistance to the tested antimicrobials, apart from resistance to cefoxitin, ampicillin, and amoxicillin/clavulanic acid. These findings are attributable to IR mechanisms, as outlined by CLSI and EUCAST guidelines [30,32]. Conversely, the E. roggenkampii isolate displayed MDR phenotype, showing resistance to tetracyclines, sulfonamides, and phenicols. Currently, there is limited direct evidence of E. hormaechei and E. roggenkampii isolation from wild birds, which hampers direct comparison with the existing literature. However, E. hormaechei has been documented in other wildlife species, including wild boars [67], suggesting that various wild animals may serve as reservoirs. The isolation of these species, both members of the Enterobacter cloacae complex (ECC) [68,69] (a group of phylogenetically related bacteria known for their pathogenicity and ability to harbor ARGs) from bird species represents an important finding. It underscores the need to include wild birds in environmental surveillance efforts aimed at understanding the circulation and dissemination of pathogenic and resistant bacteria in natural ecosystems.
Salmonella spp., a zoonotic bacterium of significant public health concern with notable economic impact [70,71], was detected in 11 out of 112 (9.8%) samples, primarily from raptors and scavenger bird species. Regarding the bird species from which Salmonella spp. were isolated, our findings are consistent with the existing literature. Indeed, several studies report that salmonellosis in wild birds is more commonly observed in carnivorous or omnivorous species, as these birds, either by preying on other birds or scavenging in landfills, are at greater risk of consuming Salmonella-infected preys or contaminated food sources [72]. Logistic regression confirmed feeding behavior as a strong predictor (OR = 0.142, p = 0.004), indicating that granivorous diets are protective compared to carnivorous/scavenger diets. Moreover, habitat (synanthropic vs. wildland species) showed a strong trend towards significance (OR = 12.285, p = 0.063), suggesting a much higher risk of Salmonella spp. positivity in anthropized environments. In terms of prevalence, the rate identified in our study is comparable to those reported by Molina-López et al. [70] in Catalonia and Millán et al. [73] in Basque Country, who observed isolation rates of 10% (n = 12/121) and 8.5% (n = 7/82), respectively. Our findings, however, reveal a considerably higher prevalence than that reported by Botti et al. [71], who quoted in north-western Italy a prevalence of 2.2%, (n = 24/1101) with half of the isolates recovered from birds of prey.
Alongside Salmonella spp., another noteworthy member of the Enterobacterales order is Escherichia coli. In the present study, E. coli accounted for 42% (n = 66/157) of all bacterial isolates and were detected in the majority of birds sampled (n = 66/112, 59%). With regard to AMR profiles, the highest resistance rates were observed against piperacillin (n = 28/66, 42%), ampicillin (n = 27/66, 40.9%), and tetracycline (n = 22/66, 33%). These findings are consistent with previous studies reporting relatively high levels of resistance to tetracycline and ampicillin among E. coli isolated from a wide variety of wild bird species across different geographical regions [74,75,76,77]. Such high resistance rates likely result from the historical and widespread use of these antimicrobials in both human and veterinary medicine [78,79], raising concern given that tetracyclines and penicillins are categorized as “Highly Important Antimicrobials” (HIAs) for human healthcare and are also critical for treating various infections in animals [12,80]. In relation to piperacillin resistance, there is a limited number of studies evaluating this molecule in E. coli from wild birds. Nevertheless, the prevalence observed in this study is substantially higher than the 12.0% (n = 6/50) and 12.5% (n = 4/32) resistance rates reported by Shobrak et al. [81] in non-migratory and migratory birds in Saudi Arabia, respectively, yet lower than the 84.2% (n = 48/57) reported by Yuan et al. [79] among migratory birds in the Pearl River Basin, China, likely reflecting variations in environmental antimicrobial exposure, geographic factors, and methodological differences. Additional resistance profiles observed in our E. coli isolates included fluoroquinolones and phenicols. Specifically, three isolates (n = 3/66; 4.5%) were resistant to both ciprofloxacin and levofloxacin, while two exhibited resistances to ciprofloxacin and intermediate susceptibility to levofloxacin. Four isolates (n = 4/66; 6%) from migratory (Phylloscopus collybita, Apus apus), carnivorous (Buteo buteo), and scavenger (Corvus cornix) birds were resistant to chloramphenicol. Although these prevalence values are not as high as those reported in other studies across different bird species and regions [79,82,83,84], they nonetheless underscore the importance of AMR surveillance in wildlife. In fact, fluoroquinolones are classified by the WHO as HPCIAs for human health, and chloramphenicol, though permitted for pets, has been banned for use in food-producing animals in the EU since 1994 [12,85,86]. Moreover, one E. coli isolated from a Long-eared Owl (Asio otus) exhibited resistance to aztreonam, while two other isolates, from a Common Starling (Sturnus vulgaris) and a Mallard (Anas platyrhynchos), were intermediate-resistant to this last-line agent, which is exclusively authorized for human use. These findings, particularly the association of certain AMR phenotypes with avian ecological groups, lend further support to the hypothesis that environmental exposures and ecological or feeding behaviors significantly influence the likelihood of birds acquiring and disseminating AMR bacteria [15,17,18]. In fact, migratory movement significantly increased odds of piperacillin resistance (OR = 0.282, p = 0.048), implicating migratory species as long-range disseminators of AMR.
In this study, 51.5% (n = 34/66) of the E. coli isolates were resistant to at least one of the antimicrobials tested, and 18.2% (n = 12/66) exhibited a MDR profile. None of the E. coli isolates showed a cESBL-producing profile. Numerous studies have explored the prevalence of ESBL-producing E. coli in bird species, particularly those living in close proximity to human populations and feeding on anthropogenic waste, such as gulls and corvids [87,88]. Given that most birds sampled in our study were small passerines and forest-dwelling species, it is important to note that limited data are available on ESBL-producing E. coli in these avifauna, with many studies reporting an absence [53,83,89,90]. The absence of cESBL-producing E. coli in our study could be explained by the fact that forest species tend to inhabit less anthropized environments and that their diets, primarily based on aerial insects, soft fruits, and berries, reduce the risk of ingesting contaminated food. Since ESBL-producing bacteria are predominantly transmitted via the fecal–oral route, such feeding behaviors may lower exposure risk [88,89]. Notably, no ESBL-producing strains were detected, even in bird species previously associated with such findings, including Common Blackbirds (Turdus merula) [91], gulls [92], corvids [93] and raptors [76]. This highlights the importance of long-term surveillance, using, eventually, individually marked birds, as emphasized by Järhult et al. [70], to better understand the environmental dynamics of AMR bacteria.
Other bacterial species isolated from the sampled animals included Proteus spp. (n = 34/157, 21.7%), Citrobacter spp. (n = 4/157, 2.5%), Hafnia spp. (n = 4/157, 2.5%), Morganella spp. (n = 3/157, 1.9%), and Serratia spp. (n = 2/157, 1.3%). These taxa are commonly isolated from wild birds and are recognized as opportunistic pathogens in humans [48,53,83,94]. Across various studies, the most consistently reported resistance among these genera was to ampicillin, observed in nearly all isolates, regardless of host species or geographical location [53,83,95,96]. Resistance to other antimicrobials, such as tetracyclines, was also frequently reported [53,83,95,96]. These findings likely reflect a combination of IR mechanisms and selective environmental pressures. Notably, in this study, out of nine Enterobacterales isolates (n = 9/157, 6.1%) resistant to tigecycline, four were identified as Proteus mirabilis, and three as Morganella morganii. Tigecycline, a glycylcycline antimicrobial derived from tetracyclines, is considered a last-resort antimicrobial agent for the treatment of severe infections caused by MDR bacterial strains [97]. Therefore, the detection of resistance to tigecycline is a cause for concern in the current context of rising AMR. In this regard, it is important to note that EUCAST has classified tigecycline as having insufficient activity against certain species, including Klebsiella spp., Proteus spp., Morganella spp., and Providencia spp. [98,99]. This intrinsic reduced susceptibility may partially explain the resistance profiles observed in the present study for these specific genera and species.
Within the order Pseudomonadales, P. aeruginosa and A. baumannii were isolated from 4.5% (n = 5/112) and 0.9% (n = 1/112) of the sampled wild birds, respectively. These findings are consistent with previous studies conducted on wild bird populations across various countries, particularly in terms of the A. baumannii isolation rate. For example, Ahmed et al. [48] reported P. aeruginosa prevalence rates of 10.0% (n = 8/80) and 18.3% (n = 11/60) in resident and migratory birds in Egypt, respectively, whereas Rodrigues et al. [100] detected P. aeruginosa in only 1 of 115 fecal samples from wild birds in England. A study by Russo et al. [101] in southern Italy reported a 36% prevalence of P. aeruginosa from cloacal swabs of 163 wild birds, yet no A. baumannii were isolated. Conversely, in Nigeria, Dahiru et al. [102] reported A. baumannii in 31.3% (n = 15/48) of fecal samples from wild birds, while in Ukraine, Łopińska et al. [103] detected only two A. baumannii isolates among 1051 fecal samples. Regarding AST results, both P. aeruginosa and A. baumannii isolates in the present study exhibited high susceptibility rates to the tested antimicrobials. All P. aeruginosa isolates were susceptible to the antimicrobials tested, while the A. baumannii isolate showed resistance to cefotaxime and intermediate resistance to ceftazidime and cefepime. The AST results for P. aeruginosa are consistent with those of Russo et al. [100], though they differ from studies reporting higher resistance levels [100,104]. The reduced susceptibility of A. baumannii to cephalosporins observed in this study is corroborated by the findings of Łopińska et al. [103], and can be attributed to the organism’s IR mechanisms, including the production of chromosomally encoded cephalosporinases and other resistance determinants [103,105,106,107]. Given this, it is important to highlight that for these bacteria species, the evaluation of the bacterial resistance/susceptibility for several antimicrobials was not possible due to the lack of defined breakpoints. Both P. aeruginosa and A. baumannii are ESKAPE pathogens with high clinical relevance but are rarely part of the normal microbiota. P. aeruginosa is typically environmental, while the reservoir of A. baumannii is unclear [103,108,109]. They are major causes of hospital infections, with the WHO listing A. baumannii as critical and P. aeruginosa as high priority in 2024 [66]. Their intrinsic and acquired resistance limits treatment options [100,103,105,110], and their detection in wildlife highlights potential environmental and zoonotic roles [108].
Acinetobacter pittii is a member of the Acinetobacter calcoaceticus–baumannii (ACB) complex. Although associated with nosocomial infections, this bacterium is often overlooked due to its relatively lower rates of AMR and detection compared to A. baumannii. However, emerging evidence indicates that MDR A. pittii are increasingly involved in hospital-acquired infections, leading to growing recognition of this pathogen’s clinical importance [111,112]. To date, information regarding the genetic background and virulence determinants of A. pittii remains limited and is often extrapolated from A. baumannii due to their high genomic similarity [112]. Nevertheless, recent studies have shown that, similarly to A. baumannii, A. pittii exhibits natural low susceptibility to narrow-spectrum beta-lactam antibiotics, and, although less frequently, may acquire ESBLs-genes through horizontal gene transfer mechanisms [111,112,113]. In the present study, a single A. pittii isolate obtained from a Long-eared Owl (Asio otus) demonstrated resistance to cefotaxime and intermediate resistance to ceftazidime and cefepime. Additionally, the isolate was resistant to piperacillin and showed intermediate resistance to piperacillin–tazobactam. Given its positivity in the DDST and growth on selective medium for ESBL-producing bacteria, this AMR profile may be indicative of ESBL production. Although this is not the first reported isolation of A. pittii from wild birds [103,114], our findings reinforce the need for broader surveillance of AMR emerging pathogens in non-clinical environments.
Another interesting finding of this study was the isolation of Achromobacter mucicolens from a Eurasian Collared Dove (Streptopelia decaocto). This species, part of the Burkholderiales order, is an emerging opportunistic pathogen in immunocompromised individuals, associated with pneumonia, meningitis, and sepsis [37,38]. Achromobacter spp. are IR to many antimicrobials, though resistance mechanisms remain incompletely understood [37,39,115,116]. Two multi-drug efflux pumps and chromosomally encoded beta-lactamases (e.g., OXA-114 and AZM-11) have been linked to this IR [37,39,115,116,117]. While OXA-114 shows in vitro activity against early-generation cephalosporins and piperacillin, its clinical impact remains unclear [39,118]. Achromobacter spp. can also acquire ARGs, contributing to MDR phenotypes and limiting treatment options [119]. Despite their clinical relevance, susceptibility testing is complicated by the lack of CLSI breakpoints. EUCAST provides breakpoints only for A. xylosoxidans for a few agents, including piperacillin–tazobactam and meropenem [30,34]. In this study, AST interpretation for A. mucicolens was possible by integrating EUCAST guidelines with data from Almuzara et al. [38]. The isolate was susceptible to piperacillin–tazobactam, carbapenems, tetracyclines, and sulfonamides. Large inhibition zones were also observed for tigecycline and piperacillin, consistent with previous studies [38,39,116,120]. Resistance to aztreonam and cefoxitin, and intermediate susceptibility to gentamicin, aligned with published profiles of clinical isolates [39].
In this study, 20 Gram-negative isolates exhibited resistance phenotypes compatible with AmpC production. These included five P. aeruginosa, five E. hormaechei, three M. morganii, two C. braakii, two C. freundii, one K. aerogenes, one E. roggenkampii, and one L. amnigena isolate. AmpC beta-lactamases are clinically significant cephalosporinases, typically chromosomally encoded in many Enterobacteriaceae and some non-fermenters like P. aeruginosa. These enzymes confer resistance to cefoxitin, first-generation cephalosporins, most penicillins, and beta-lactam/beta-lactamase inhibitor combinations [106,109,121]. In many bacterial species, AmpC expression is inducible and may be upregulated through mutations, potentially leading to resistance against extended-spectrum cephalosporins and subsequent treatment failure. Consequently, third-generation cephalosporins, although potentially active in vitro, should generally be avoided for treating infections caused by wild-type-inducible AmpC producers, with alternative agents, such as piperacillin, piperacillin–tazobactam, and tigecycline, being preferred [106,121,122,123]. In this regard, all Enterobacterales isolates with a cAmpC profile in the present study belong to species recognized in the literature as chromosomally encoded AmpC producers [106,121,122]. Their AMR profiles are also consistent with an AmpC-producing profile, as they exhibited resistance to cefoxitin, ampicillin, and amoxicillin–clavulanic acid, while remaining susceptible to third-generation cephalosporins and cefepime. Notably, the two C. freundii isolates were resistant to piperacillin, while M. morganii isolates showed resistance to tigecycline. Regarding L. amnigena, previously known as Enterobacter amnigenus, this bacterium is recognized to be an unusual opportunistic human pathogen [124]. The natural resistance of L. amnigena to second- and third-generation cephalosporins, as well as to other antimicrobials, such as gentamicin and doxycycline, is described in the literature [125,126], supporting our results. However, contradictory result had been reported [127]. To date, several studies have reported that L. amnigena possesses the ampC gene; however, no detailed studies on the L. amnigena AmpC beta-lactamase have been documented, though a new chromosomally-encoded AmpC beta-lactamase, blaLAQ-1, was recently described [124,127]. Although Hafnia alvei, Providencia spp., and Serratia marcescens are also recognized in the literature as natural AmpC producers [106,121,122], none of the isolates from these species in our study displayed cAmpC phenotypes or resistance to cefoxitin. In these genera, AmpC expression is typically low and inducible, and its phenotypic manifestation depends on the presence of mutations in regulatory genes or environmental pressure. In the absence of such factors, AmpC expression may remain below detection thresholds used in phenotypic tests [128]. Furthermore, methodological limitations of the phenotypic assays used may also have contributed to false-negative results [121]. These findings align with other reports where species known to carry inducible AmpC did not always exhibit phenotypic activity or cefoxitin resistance [121,123,129].
Finally, in the present study, 4% (n = 6/157) of the bacterial isolates tested were found to be resistant to colistin; of these, four were E. coli and two were K. pneumoniae. Colistin has been widely used since the mid-20th century in veterinary medicine, particularly in swine, for the treatment of enteric infections [130,131]. Today, it is regarded as a last-resort antimicrobial for managing human infections caused by MDR Gram-negative bacteria, including carbapenemase-producing Enterobacterales, Acinetobacter baumannii, and Pseudomonas aeruginosa [132,133,134]. Recognizing its important role, the WHO has classified colistin among the HPCIA antimicrobials [12]. Reflecting similar concerns, the EMA has placed colistin in Category B (“Restrict”) of its antimicrobial classification system, recommending that its use in animals be strictly limited to safeguard public health [13]. Since its initial discovery in China in 2015, the plasmid-mediated mcr-1 gene conferring resistance to colistin has been detected globally in Enterobacteriaceae isolates originating from food-producing animals, companion animals, food products, environmental samples, and human clinical cases [135,136]. Similar findings to our study have been reported in wild birds from various parts of the world, highlighting the role of wild birds as potential vectors of colistin-resistant bacteria. For instance, studies have identified mcr-positive Escherichia coli in gulls, egrets, and other avian species frequenting urban, coastal, and agricultural environments [48,51,137,138]. These birds likely acquire resistant strains through contact with contaminated water, soil, or anthropogenic waste, thereby contributing to the environmental dissemination of mobile colistin resistance genes [48,51,137,138]. These results emphasize the importance of including wildlife, especially birds, in One Health surveillance strategies targeting critical resistance threats.
This study provides important preliminary insights into the distribution of AMR bacteria in wild bird populations, encompassing both classical human pathogens and lesser-known bacterial species. Nonetheless, several limitations must be acknowledged. First, Salmonella isolates were not serotyped, as none exhibited resistance profiles of particular relevance. Given the study’s focus on AMR rather than pathogenicity per se, serotyping was deemed beyond its scope. However, given the well-known differences in zoonotic potential among Salmonella serotypes, further in-depth investigations are warranted. From this perspective, the preliminary results of this study, including statistical data, isolate counts, and AMR profiles, can provide a valuable foundation for refining the sampling strategy toward a more targeted and ecologically balanced approach. These findings may also guide the development of a more tailored antimicrobial testing panel for Salmonella, including compounds not assessed here and agents commonly used in human clinical settings, with the final aim of better evaluating the public health risks posed by AMR Salmonella isolates of zoonotic significance. Second, as the findings are based on phenotypic AST, isolates exhibiting phenotypically compatible ESBL or AmpC profiles cannot be definitively classified as enzyme producers, and the potential for false negatives remains. In fact, while the results of phenotypic AST remain valuable, limitations must be acknowledged. These include the inability to detect silent or non-expressed resistance genes, as well as the risk of misclassifying isolates due to overlapping phenotypic profiles or low-level expression of resistance mechanisms. Phenotypic tests may also fail to identify emerging or uncommon resistance genes, particularly in bacterial taxa that are underrepresented in current AMR databases [128,139,140]. Nonetheless, considering these limitations, the importance of genotypic characterization in AMR surveillance remains unquestionable. Despite this, the primary objective of this study was to provide a broad phenotypic overview of resistance patterns in Gram-negative bacteria isolated from wild birds. Given the exploratory nature of the work, the diversity of bacterial and host species, the complexity of potential resistance mechanisms (both plasmidic and chromosomal), the limited availability of genomic reference data for several poorly characterized bacterial species, and the resource constraints typical of broad-scale studies, extensive genotypic analyses were not feasible at this stage. Such investigations would require a dedicated and more focused study. Nevertheless, the present findings offer a meaningful baseline for future hypothesis-driven molecular research, with a potential focus on ARGs and ARB of highest public health relevance. A further limitation of the present study concerns the heterogeneity of bird species sampled, which complicates efforts to establish robust associations between host species and specific resistance profiles or bacterial taxa. Despite this, statistically significant associations were observed, for example, the isolation of Salmonella spp. in carnivorous birds and of piperacillin-resistant E. coli in migratory species, suggesting that certain avian groups may act as important carriers or amplifiers of AMR bacteria. These findings support the inclusion of specific bird categories in targeted surveillance protocols. An additional point worth mentioning concerns the potential sampling bias associated with the use of fecal samples from wild birds that died at a wildlife rescue center. These birds typically present, upon admission, a compromised health status, which may influence the microbiological profiles characteristic of free-ranging bird populations. Conditions such as stress and immunosuppression may have affected both the prevalence and shedding of ARB in these individuals; given this, the methodological decision to include only birds that had not received antimicrobial treatment prior to death was intended to approximate, as closely as possible, the microbiological condition reflective of the animals’ free-ranging lives. Moreover, it is important to emphasize that, despite this potential bias, wildlife rescue facilities can provide a valuable and ethical opportunity to monitor AMR in wild species, offering access to a wide range of avian taxa that would otherwise be difficult to sample under natural conditions. Among the key strengths of the study is its comprehensive ecological scope, which includes both common and rarely reported bacterial taxa and a wide array of avian hosts. In particular, although certain bacterial species, such as Acinetobacter baumannii, Acinetobacter pittii, Pseudomonas aeruginosa, and Achromobacter mucicolens, were isolated at low frequencies, their identification is nonetheless epidemiologically significant. These bacteria are globally recognized for their intrinsic and acquired resistance mechanisms, particularly against last-resort antimicrobials, and are listed among the highest priority pathogens by the WHO due to their limited therapeutic options and association with severe nosocomial infections [37,66,105,111]. Their detection in wild birds, especially in species that interact with anthropogenic environments, raises concern over the potential role of these birds as environmental reservoirs and long-distance spreaders of high-risk AMR determinants, as well as relevant pathogens. Moreover, the recovery of phenotypically colistin-resistant E. coli and K. pneumoniae, despite being limited in number, further underscores the public health relevance of such findings, considering the role of colistin as a last-resort treatment in human medicine [134]. The detection of these low-frequency but high-risk isolates highlights the importance of continued AMR surveillance in wildlife, as even rare detection events may reflect broader environmental circulation and emerging zoonotic threats, posing a considerable public health threat. This broad approach enhances our understanding of the AMR landscape in wild birds and emphasizes their relevance as sentinels in environmental and public health monitoring frameworks.

5. Conclusions

The findings of this study underscore the role of wild birds in the dissemination of AMR Gram-negative microorganisms of concern to human health, including Klebsiella pneumoniae, Acinetobacter baumannii, and Enterobacter spp. The identification of MDR isolates, as well as isolates with resistance phenotypes compatible with the production of ESBL and AmpC, highlights the contribution of avian wildlife to the broader environmental resistome. Despite the natural absence of direct antimicrobial exposure in wild birds, the detection of resistance to HPCIAs, CIAs, and compounds used exclusively in human medicine suggests a contamination scenario shaped by anthropogenic pressures. The proximity of avifauna to urban areas, wastewater effluents, landfills, and livestock production sites likely facilitates the environmental transmission of resistance determinants to wild bird populations [15,75]. Moreover, observed differences in resistance patterns across ecological guilds further support the influence of dietary habits and habitat use on AMR acquisition [141]. Migratory species may additionally function as effective bioindicators of the environmental AMR burden and serve as long-distance vectors for resistant bacteria, underscoring their relevance within a One Health surveillance framework [17,142]. The detection of zoonotic and opportunistic human pathogens carrying complex resistance traits in wild birds is therefore of considerable concern for both animal and human health, highlighting the urgent need for integrated, cross-sectoral monitoring strategies [142]. To effectively address the AMR crisis, wildlife—especially birds—should be more explicitly incorporated into global surveillance strategies. Doing so would enable better understanding of transmission dynamics and support the development of targeted interventions aimed at curbing the environmental spread of resistance.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ani15152289/s1, Table S1: AST interpretive criteria used for Gram-negative bacterial isolates recovered from wild birds; Figure S1: Radial tree graph showing the distribution of 157 Gram-negative bacterial strains isolated from 112 wild bird specimens; Table S2: Distribution of Gram-negative bacterial isolates, grouped by genus, across wild bird species sampled; Table S3: Antimicrobial resistance profile of Enterobacterales isolates; Table S4: Antimicrobial resistance profile of Pseudomonadales isolates; Table S5: Antimicrobial resistance profile of Burkholderiales isolates; Table S6: Antimicrobial susceptibility (Kirby–Bauer method), number and percentage of resistant strains by antimicrobial agent and bacterial species within Enterobacterales order; Table S7: Antimicrobial susceptibility (Kirby–Bauer method), number and percentage of resistant strains by antimicrobial agent and bacterial species within Pseudomonadales order; Table S8: Antimicrobial susceptibility (Kirby–Bauer method), number and percentage of resistant strains by antimicrobial agent and bacterial species within Burkholderiales order; Table S9: Binary logistic regression for major pathogen isolation; Table S10: Binary logistic regression for Salmonella spp. isolation; Table S11: Binary logistic regression for piperacillin resistance in E. coli.

Author Contributions

Conceptualization, M.C.R. and G.G.; methodology, M.C.R., G.G., J.F. and L.F.P.; investigation, M.C.R., G.G., J.F. and L.F.P.; data curation, M.C.R.; writing—original draft preparation, M.C.R., G.G. and J.F.; writing—review and editing, L.F.P., S.R., M.F.A. and M.P.F.; visualization, M.C.R., G.G., J.F., L.F.P., S.R., M.F.A. and M.P.F.; project administration, G.G.; funding acquisition, G.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Regione Lombardia as part of the project “Spillover e altri rischi emergenti”. Regione Lombardia, Decreto N. 17603 del 01/12/2022.

Institutional Review Board Statement

This study did not require approval by an ethics committee since all procedures involved animals that had either died naturally or were humanely euthanized following admission to an authorized wildlife rescue center, in accordance with current regulations. Furthermore, the investigations conducted in this study were carried out for health surveillance purposes.

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.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Network graph showing associations between wild bird species and bacterial genera isolated from cloacal samples. The circular representation displays connections between wild bird species (black nodes with stylized illustrations on the left) and the bacterial genera isolated (colored nodes on the right). The size of the bacterial nodes is proportional to the total number of isolates per genus. Similarly, the size of black nodes is proportional to the number of sampled birds belonging to the indicated species. Node color represents bacterial taxonomic order: Enterobacterales (dark blue), Pseudomonadales (pink), and Burkholderiales (yellow). Grey lines indicate the presence of at least one bacterial isolate of the corresponding genus isolated from the linked bird species. For some species, no Gram-negative bacteria were isolated from fecal samples.
Figure 1. Network graph showing associations between wild bird species and bacterial genera isolated from cloacal samples. The circular representation displays connections between wild bird species (black nodes with stylized illustrations on the left) and the bacterial genera isolated (colored nodes on the right). The size of the bacterial nodes is proportional to the total number of isolates per genus. Similarly, the size of black nodes is proportional to the number of sampled birds belonging to the indicated species. Node color represents bacterial taxonomic order: Enterobacterales (dark blue), Pseudomonadales (pink), and Burkholderiales (yellow). Grey lines indicate the presence of at least one bacterial isolate of the corresponding genus isolated from the linked bird species. For some species, no Gram-negative bacteria were isolated from fecal samples.
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Figure 2. Acquired antimicrobial resistance profiles among Enterobacterales isolates. Bar chart illustrating the number of Enterobacterales isolates exhibiting acquired resistance to selected antimicrobial agents. Intrinsic resistance traits were excluded from the analysis. Antimicrobial molecules are reported along the x-axis, while the y-axis indicates the number of resistant isolates. Bar colors correspond to individual bacterial species, as detailed in the legend on the right. CN: gentamicin; CTX: cefotaxime; CAZ: ceftazidime; FEP: cefepime; CZA: ceftazidime/avibactam; FOX: cefoxitin; TE: tetracycline; DO: doxycycline; TGC: tigecycline; LEV: levofloxacin; CIP: ciprofloxacin; MEM: meropenem; IPM: imipenem; AMP: ampicillin; AMC: amoxicillin/clavulanic acid; PRL: piperacillin; TZP: piperacillin/tazobactam; SXT: sulfamethoxazole/trimethoprim; C: chloramphenicol; ATM: aztreonam; CS: colistin.
Figure 2. Acquired antimicrobial resistance profiles among Enterobacterales isolates. Bar chart illustrating the number of Enterobacterales isolates exhibiting acquired resistance to selected antimicrobial agents. Intrinsic resistance traits were excluded from the analysis. Antimicrobial molecules are reported along the x-axis, while the y-axis indicates the number of resistant isolates. Bar colors correspond to individual bacterial species, as detailed in the legend on the right. CN: gentamicin; CTX: cefotaxime; CAZ: ceftazidime; FEP: cefepime; CZA: ceftazidime/avibactam; FOX: cefoxitin; TE: tetracycline; DO: doxycycline; TGC: tigecycline; LEV: levofloxacin; CIP: ciprofloxacin; MEM: meropenem; IPM: imipenem; AMP: ampicillin; AMC: amoxicillin/clavulanic acid; PRL: piperacillin; TZP: piperacillin/tazobactam; SXT: sulfamethoxazole/trimethoprim; C: chloramphenicol; ATM: aztreonam; CS: colistin.
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Table 1. Classification of sampled avian species.
Table 1. Classification of sampled avian species.
Taxonomic OrderFamilyScientific NameCommon NameTotal
AccipitriformesAccipitridaeButeo buteoEurasian Buzzard1
AnseriformesAnatidaeAnas platyrhynchosMallard7
ApodiformesApodidaeTachymarptis melbaAlpine Swift4
Apus apusCommon Swift10
BucerotiformesUpupidaeUpupa epopsEurasian Hoopoe1
CharadriiformesLaridaeLarus michahellisYellow-legged Gull1
ScolopacidaeScolopax rusticolaEurasian Woodcock1
ColumbiformesColumbidaeColumba palumbusCommon Woodpigeon8
Streptopelia decaoctoEurasian Collared Dove10
CoraciiformesAlcedinidaeAlcedo atthisEurasian Kingfisher2
FalconiformesFalconidaeFalco tinnunculusCommon Kestrel8
Falco peregrinusPeregrine Falcon1
GruiformesRallidaeGallinula chloropusCommon Moorhen1
PasseriformesCorvidaeCorvus cornixHooded Crow4
Pica picaEurasian Magpie6
Garrulus glandariusEurasian Jay1
FringillidaeFringilla coelebsEurasian Chaffinch1
Serinus serinusEuropean Serin4
HirundinidaeHirundo rusticaBarn Swallow3
Delichon urbicumCommon house Martin1
MuscicapidaeFicedula hypoleucaEuropean pied Flycatcher1
Phoenicurus phoenicurusCommon Redstart1
Erithacus rubeculaEuropean Robin3
ParidaeParus majorGreat Tit2
PhylloscopidaePhylloscopus collybitaCommon Chiffchaff1
RegulidaeRegulus regulusGoldcrest1
SturnidaeSturnus vulgarisCommon Starling1
SylviidaeSylvia atricapillaBlackcap1
TurdidaeTurdus merulaCommon Blackbird10
PelecaniformesArdeidaeArdea cinereaGrey Heron1
Bubulcus ibisCattle Egret1
Egretta garzettaLittle Egret1
PiciformesPicidaePicus viridisGreen Woodpecker1
StrigiformesStrigidaeStrix alucoTawny Owl1
Otus scopsEurasian Scops-owl2
Athene noctuaLittle Owl8
Asio otusLong-eared Owl1
Total 112
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Rapi, M.C.; Filipe, J.; Filippone Pavesi, L.; Raimondi, S.; Addis, M.F.; Franciosini, M.P.; Grilli, G. Resisting the Final Line: Phenotypic Detection of Resistance to Last-Resort Antimicrobials in Gram-Negative Bacteria Isolated from Wild Birds in Northern Italy. Animals 2025, 15, 2289. https://doi.org/10.3390/ani15152289

AMA Style

Rapi MC, Filipe J, Filippone Pavesi L, Raimondi S, Addis MF, Franciosini MP, Grilli G. Resisting the Final Line: Phenotypic Detection of Resistance to Last-Resort Antimicrobials in Gram-Negative Bacteria Isolated from Wild Birds in Northern Italy. Animals. 2025; 15(15):2289. https://doi.org/10.3390/ani15152289

Chicago/Turabian Style

Rapi, Maria Cristina, Joel Filipe, Laura Filippone Pavesi, Stefano Raimondi, Maria Filippa Addis, Maria Pia Franciosini, and Guido Grilli. 2025. "Resisting the Final Line: Phenotypic Detection of Resistance to Last-Resort Antimicrobials in Gram-Negative Bacteria Isolated from Wild Birds in Northern Italy" Animals 15, no. 15: 2289. https://doi.org/10.3390/ani15152289

APA Style

Rapi, M. C., Filipe, J., Filippone Pavesi, L., Raimondi, S., Addis, M. F., Franciosini, M. P., & Grilli, G. (2025). Resisting the Final Line: Phenotypic Detection of Resistance to Last-Resort Antimicrobials in Gram-Negative Bacteria Isolated from Wild Birds in Northern Italy. Animals, 15(15), 2289. https://doi.org/10.3390/ani15152289

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