Submitted:
21 April 2026
Posted:
22 April 2026
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Abstract
Antimicrobial resistance (AMR) is one of the most serious threats to global public health, driven in part by extensive antibiotic use in food-producing animals. The poultry industry, a major contributor to global animal protein supply, has depended on antibiotics for growth promotion and disease control, thereby contributing to the emergence and dissemination of AMR zoonotic bacteria. This review synthesizes current evidence on the potential of phytochemicals (PCs), plant-derived bioactive compounds, as sustainable non-antibiotic alternatives for controlling bacterial foodborne pathogens in poultry. Relevant literature including in vitro and in vivo studies assessing PCs against major poultry-associated zoonotic bacteria, including Salmonella enterica, Campylobacter spp., Clostridium perfringens, Listeria monocytogenes, and pathogenic Escherichia coli, is examined. Evidence indicates that PCs exert antimicrobial and anti-virulence effects through mechanisms like bacterial membrane disruption, inhibition of quorum sensing and virulence gene expression, modulation of gut microbiota, and enhancement of host immune responses. In vivo studies demonstrate reductions in pathogen colonization and improvements in gut health and performance metrics in poultry. Despite these promising findings, challenges remain in bioavailability, dose optimization, standardization, and regulatory approval. Overall, PCs represent a promising component of integrated antimicrobial stewardship strategies in poultry production, with significant implications for mitigating zoonotic AMR transmission.
Keywords:
1. Poultry Production at the Crossroads of Zoonotic Disease and Antimicrobial Resistance
1.1. Global Burden of Antimicrobial Resistance and Foodborne Infections
1.2. Antibiotic Dependence in Poultry
1.3. Rationale and Scope of This Review
2. AMR in Poultry: Drivers, Dynamics, and Zoonotic Risk
2.1. Patterns of Antibiotic Use in Poultry Production
2.1.1. Growth Promotion
2.1.2. Disease Prevention and Therapy
2.1.3. Regulatory Shifts
2.2. Selection and Dissemination of Antimicrobial Resistance Genes
2.3. Poultry-to-Human Transmission of AMR Bacteria
2.3.1. Farm-to-Processing Contamination
2.3.2. Retail and Consumer Exposure
2.3.3. Occupational and Environmental Pathways
2.3.4. Public Health Implications
- S. enterica: The most frequently detected MDR pathogen in poultry supply chains is Salmonella, particularly serovars like S. Typhimurium, S. Enteritidis, and S. Kentucky ST198. S. Kentucky ST198 is a particularly concerning clone that produces ESBL and has been linked to severe infections in humans [108,109,110]. The National Antimicrobial Resistance Monitoring System (NARMS) interim analyses emphasize that rising decreased susceptibility among S. Enteritidis is clinically relevant because it may adversely affect fluoroquinolone-treated cases, and NARMS genomic analyses indicate commercial chicken products as a likely source for key strain clusters [111].
- C. jejuni/coli: Campylobacter is the leading cause of bacterial gastroenteritis worldwide, with poultry recognized as the primary reservoir [112,113]. From an AMR perspective, the most consequential public health signal is loss of efficacy of macrolides (erythromycin/azithromycin), which are standard first-line options for severe campylobacteriosis. In Italy, researchers recently detected the erm(N) gene, a marker of erythromycin resistance, for the first time in a food-origin isolate. This gene was located on the chromosome of C. coli isolated from poultry carcasses at slaughterhouses, representing a significant escalation in resistance to a first-line treatment [102].
- Extraintestinal pathogenic E. coli (ExPEC): Poultry products are significant reservoirs for ExPEC, which cause neonatal meningitis, bacteremia, and most human urinary tract infections (UTIs). A comparative study in Canada reported genetic relatedness between E. coli from abattoir animals, particularly chicken, and ExPEC from human urinary tract infections, concluding that chickens were the most probable reservoir among animals sampled [114]. Studies using Caco-2 human epithelial cells have shown that 62.8% of poultry-isolated ExPEC can adhere to human intestinal tissues as effectively as known enteric pathogens, suggesting their high potential for establishing extraintestinal infections after intestinal colonization [115].
2.4. Genomic Evidence of Zoonotic Linkage
3. The Poultry Gut Microbiome as a Reservoir and Amplifier of AMR
4. PCs as Non-Antibiotic Interventions in Poultry Production
4.1. Mechanisms of Action of PCs Relevant to AMR Mitigation
4.1.1. Disruption of Bacterial Cell Membranes
4.1.2. Inhibition of Quorum Sensing
4.1.3. Anti-Biofilm and Anti-Motility Effects
4.1.4. Modulation of Gut Microbiota Composition
4.1.5. Enhancement of Host Immune Responses
4.2. Advantages of PCs over Conventional Antibiotics
5. Effects of Phytochemical Against Major Poultry-Associated Zoonotic Pathogens
5.1. S. enterica
5.2. Campylobacter spp.
5.3. Clostridium Perfringens
5.4. Listeria monocytogenes
5.5. Pathogenic E. coli and Other Emerging Zoonotic Bacteria
| Bacterial species (strain/isolate) | Phytochemical used | Concentration studied | Model details | Other effects | Reference |
|---|---|---|---|---|---|
|
Salmonella enterica serovar Typhimurium ATCC 14028 |
Gallic acid | MIC:3.5 mg/mL; MBC:4.5 mg/mL. | In vitro planktonic susceptibility assay (Broth microdilution in LB broth) | Tested at sublethal levels for membrane integrity/permeability and antivirulence phenotypes; study explicitly addresses antivirulence and antimicrobial effects | [214] |
| Protocatechuic acid | MIC 2.0 mg/mL; MBC 2.0 mg/mL | ||||
| Vanillic acid | MIC 1.5 mg/mL; MBC 2.0 mg/mL | ||||
|
S. Typhimurium ATCC14028 |
Resveratrol | MIC 250 µg/mL. | In vitro MIC (Broth Microdilution); mechanistic assays | Cell wall/membrane structural damage and metabolomics-linked effects | [217] |
| S. Enteritidis PT8 | trans-Cinnamaldehyde | SIC: 0.01% (~0.75 mM) | In vitro transcriptomics at SIC dose | Downregulated genes related to motility, SPI-1 regulation, invasion, transport/outer membrane proteins; Upregulated heat shock genes | [267] |
| Eugenol | SIC: 0.04% (~2.46 mM) |
||||
| S. Enteritidis | Trans-Cinnamaldehyde | Low dose: 0.5% High dose: 0.75% (in-feed) |
In vivo broiler chicken colonization model (n=75/experiment), inoculated day 8 with ~8 log₁₀ CFU/bird, followed through 10 days; cecal enumeration at days 7 and 10 post-inoculation. | ≥3 log₁₀ CFU/g reduction in cecal S. Enteritidis after 10 days infection; SIC exposure led to reduced motility/invasion, downregulation of motility/invasion genes | [268] |
| S. Enteritidis | Eugenol | Low dose: 0.75% High dose: 1% (in-feed) |
≥3 log₁₀ CFU/g reduction in cecal S. Enteritidis after 10 days infection; SIC exposure led to reduced motility/invasion, downregulation of motility/invasion genes; lower body weights vs controls |
||
| S. Enteritidis | Trans-Cinnamaldehyde | 0.75% in-feed for 5 days pre-slaughter | In vivo commercial market-age broilers; gavage challenge on day 30; euthanasia day 31. | Reduced colonization and shedding | [218] |
| S. Enteritidis | Eugenol | 0.1% in-feed for 5 days pre-slaughter | |||
| S. Typhimurium (CVCC541) | Thymol | MIC: 375 µg/mL; MBC 750 µg/mL |
In vitro broth dilution method | Checkerboard assay; combination of thymol and carvacrol showed additive effect | [238] |
| S. Typhimurium (CVCC541) | Carvacrol | MIC: 375 µg/mL; MBC 750 µg/mL |
|||
|
Campylobacter jejuni (S-8, NCTC 81-176) |
Carvacrol | SIC: 0.002% | In vitro Motility assay Adhesion assay LC-MS/MS proteomics |
Reduced motility and adhesion, decreased AI-2 activity, increased acid/bile susceptibility; Reduced expression of proteins linked to motility/adhesion/ metabolism/ respiration. |
[224] |
| C. jejuni | Carvacrol | 120 mg/kg in-feed | In vivo broiler trial: seeder bird model through slaughter age | Reductions in cloacal swab loads and colon counts during early periods; No significant reduction in cecal counts at day 33 | [225] |
| C. jejuni | Carvacrol | 0.25%, 0.5%, 1%, 2% (suspension) | Ex vivo / food model: chicken skin inoculation |
2% wash reduced C. jejuni by ~2.4–4 log₁₀ CFU/sample; emulsion/nanoemulsion not consistently superior to suspension | [228] |
| C. jejuni (five wild-type isolates) | Caprylic acid | In-feed supplementation at 0.35%, 0.7%, 1.4%, 2.8% for the final 72 h of a 15-day trial | In vivo: day-of-hatch broiler chicks (n=60/trial) | 0.7% and 1.4% caprylic acid consistently produced 3-4 log₁₀ reductions in cecal counts vs positive controls | [227] |
| Clostridium perfringens (CVCC2027, CVCC2030) | Thymol | MIC: 375 µg/mL; MBC: 750 µg/mL |
In vitro broth dilution in MHB | Checkerboard assay; combination of thymol and carvacrol showed additive effect | [243] |
| Carvacrol | |||||
| C. perfringens | Tannic acid | 250, 500, 750, 1000 mg/kg diet. | In vivo broiler Necrotic enteritis model | Improvements in anti-inflammatory markers, barrier-associated indicators, and microbiota shifts | [247] |
| Listeria monocytogenes | Resveratrol | MIC: 200 µg/mL | In vitro planktonic MIC + biofilm experiments | Strong biofilm-inhibition even at subinhibitory concentrations | [269] |
| L. monocytogenes ATCC 19115 | Thymol + Cinnamaldehyde |
125 µg/mL thymol + 125 µg/mL cinnamaldehyde | Food model with transcriptomics | Reduced survival and virulence-associated transcriptional activity on meat |
[255] |
| Avian pathogenic E. coli (APEC) | Resveratrol | MIC: 128 µg/mL | In vitro broth dilution, biofilm and motility assays | Biofilm inhibition above 1 µg/mL; structural biofilm effects; biofilm eradication at 32 µg/mL resveratrol + 64 µg/mL florfenicol; highlights synergy with an antibiotic | [261] |
| Methicillin-resistant Staphylococcus aureus (MRSA) | trans-Cinnamaldehyde, Thymol, Carvacrol | In vitro MRSA isolate characterization + compound exposure with virulence gene transcription | Downregulation of key virulence genes; antivirulence plus growth inhibition | [266] | |
| Multidrug-resistant E. coli |
Matrine | MIC: 6.25 mg/mL | In vitro broth microdilution + synergy assays | Checkerboard synergy assay; matrine doses reduced the effective MIC of berberine hydrochloride markedly when combined | [264] |
| Berberine hydrochloride | MIC: 1 mg/mL | ||||
| Matrine + Berberine hydrochloride | 6.25 mg/mL matrine+ 1 mg/mL berberine hydrochloride | In vivo chicken colibacillosis model | Improvements via reduced bacterial load and inflammatory factor modulation |
6. Limitations, Challenges, and Knowledge Gaps
7. Future Perspectives
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| AMR | antimicrobial resistance |
| AGPs | antibiotic growth promoters |
| ARGs | antimicrobial resistance genes |
| AHLs | acyl-homoserine lactones |
| AI | autoinducers |
| AI-2 | autoinducer-2 |
| APEC | avian pathogenic Escherichia coli |
| CFU | colony-forming units |
| EPS | extracellular polymeric substances |
| ESBL | extended-spectrum beta-lactamase |
| EU | European Union |
| FDA | Food and Drug Administration |
| FCR | feed conversion ratio |
| FICI | fractional inhibitory concentration index |
| GM | gut microbiota |
| GRAS | generally recognized as safe |
| HGT | horizontal gene transfer |
| IHME | Institute for Health Metrics and Evaluation |
| IgA | immunoglobulin A |
| LA-MRSA | livestock-associated methicillin-resistant Staphylococcus aureus |
| LMICs | low- and middle-income countries |
| MBC | minimum bactericidal concentration |
| MDR | multidrug-resistant |
| MDROs | multidrug-resistant organisms |
| MGEs | mobile genetic elements |
| MIC | minimum inhibitory concentration |
| MPN | most probable number |
| MRSA | methicillin-resistant Staphylococcus aureus |
| NARMS | National Antimicrobial Resistance Monitoring System |
| PCs | phytochemicals |
| QS | quorum sensing |
| QSIs | quorum sensing inhibitors |
| SNPs | single nucleotide polymorphisms |
| STEC | Shiga toxin-producing Escherichia coli |
| UTIs | urinary tract infections |
| VFD | Veterinary Feed Directive |
| VRE | vancomycin-resistant enterococci |
| WEF | World Economic Forum |
| WGS | whole genome sequencing |
| WHO | World Health Organization |
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