Introduction
Campylobacter species (spp.) are widespread and fastidious microorganisms (Waje et al., 2024). These thermophilic, gram-negative bacteria possess a single polar flagellum at one or both ends, exhibiting corkscrew motility and not forming spores. Campylobacter spp thrive at 37-42 °C under microaerophilic conditions. They typically appear as S-shaped spirally curved rods or seagull shapes (WOAH, 2024).
Although Campylobacter is rarely detected in broilers younger than 2-3 weeks of age, its prevalence increases, peaking at the time of slaughter (Perez-Arnedo & Gonzalez-Fandos, 2019). The slaughtering process significantly contributes to carcass contamination with Campylobacter, primarily during the evisceration step (Shange et al., 2019). European countries employ several strategies to reduce infection rates, including early screening of broiler flocks before slaughter, using bacteriophages and probiotics, and eradication programs for rodents and flies to control infection in chicken houses and slaughterhouses (EFSA, 2016).
The genus Campylobacter comprises at least 39 recognized species widely distributed across various hosts and environments (Ammar, 2021). Zoonotic Campylobacter spp. are naturally occurring organisms in the intestines of various mammals, birds, and reptiles and can also be found in associated environments such as water and soil (Huang & Mariano Garcia, 2022). Poultry is considered the major reservoir of zoonotic Campylobacter spp. and serve as a significant source of human campylobacteriosis (Thames et al., 2022). A meta-analysis and systematic review study conducted by Mia et al. (2024) found the global prevalence of campylobacteriosis in poultry and poultry products to be 44% and 43% in Asian countries.
Campylobacteriosis is currently considered the most commonly reported bacterial foodborne illness worldwide, affecting both developed and developing countries (Igwaran & Okoh, 2019; European Food Safety Authority [EFSA] and European Centre for Disease Prevention and Control [ECDC], 2019). Campylobacter spp. is responsible for about 500 million cases of gastroenteritis infections worldwide each year (Igwaran & Okoh, 2019). Campylobacteriosis usually is characterized by fever, abdominal cramps, and bloody diarrhea, which may result in hospitalization, especially in immunocompromised patients. Campylobacter jejuni and Campylobacter coli are the two main species associated with human campylobacteriosis globally (EFSA, 2020). The infection transmits primarily through undercooked chicken meat or meat products. Consequently, Campylobacter represents a global public health concern (Dogan et al., 2019).
To ensure consumer safety, it is crucial to identify and characterize pathogenicity markers in foodborne strains of Campylobacter. Many virulence factors of Campylobacter spp. found to be essential in pathogenesis, disease severity, and post-infection sequelae (Wieczorek et al., 2018). Campylobacter adherence to the fibronectin (cadF) gene encodes a protein that mediates bacterial cell adhesion by attaching to fibronectin. Additionally, the invasive ability of Campylobacter is associated with the secretion of toxins such as the cytolethal distending toxin (CDT), which is encoded by a three-gene operon (cdtABC). The cdtB gene encodes for the CdtB toxic subunit, whose main action is nucleus catalytic action, which is responsible for cell cycle arrest and apoptosis of immune cells and intestinal epithelial cells (Kemper & Hensel, 2023).
Phenotypic methods for species identification and differentiation of the genus Campylobacter are often difficult and unreliable due to the close similarity of the isolates in biochemical reactions. However, molecular techniques have been developed to study the genetic diversity of Campylobacter species and the relationships among these isolates to address human and animal health issues (Natsos et al., 2019; García-Sánchez et al., 2018). Campylobacter spp. are classified specifically by the hipO gene and glyA to C. jejuni and C. coli, respectively (Syarifah et al., 2020). PCR-based 16S rRNA sequencing can identify the genus Campylobacter, differentiate isolates at the species level, and determine phylogenetic relationships among Campylobacter isolates (Hansson et al., 2008).
In Iraq, data on the prevalence and genetic relatedness of Campylobacter isolated from broilers at slaughtering are very limited. Therefore, the objectives of this study were to estimate the prevalence, identify and characterize potential sources of C. jejuni and C. coli contamination in broilers collected from different farms at the slaughterhouse, analyze the presence of two virulence genes, and study the relationship between some the isolates.
Materials and Methods
Study design and sample size calculation
This cross-sectional study used the formula n=Z2 p (1-p)/d2 (Thrusfield, 2018) to calculate the minimum sample size, where n=calculated sample size, Z=1.96 (95% confidence level), p=0.50 (expected 50% prevalence to maximize sample size due to variability in Campylobacter prevalence) (Hue et al., 2010), and d=0.07 (desired precision) (Phosa et al., 2022). It yielded a minimum sample size of 196. A sample size of 200 broilers was chosen to ensure adequate statistical power and precision for estimating the prevalence of Campylobacter.
Broiler samples
This study was conducted between mid-January and June 2022 at a local chicken abattoir in Babylon Governorate. Sampling was performed during the evisceration phase to ensure standardized sampling conditions and minimize variability (FAO, 2019).
A total of 200 broilers were randomly selected from 20 farms distributed across four governorates (10 farms from Najaf, 4 from Karbala, 3 from Babylon, and 3 from Muthanna). These governorates were selected based on two criteria: their status as key poultry suppliers to the slaughterhouse and their geographic location within the Middle Euphrates region, which reflects central-south Iraq’s poultry production landscape. To ensure randomization, farms were selected from slaughterhouse records using a simple random sampling approach. Within each farm, 10 birds were sampled proportionally from different slaughter batches (15000–20000 birds per batch) without prior knowledge of their health status or origin. This selection minimized bias and ensured representativeness across batches. Sampling across different farms and batches also helped mitigate potential clustering effects associated with farm-level management practices. To further reduce variability, five cecal swabs were pooled per carcass to create a composite sample, following FAO (2019) guidelines. This measure allowed us to maintain analytical consistency and improve statistical robustness while capturing the broader microbial profile.
Isolation and bacterial identification
As mentioned previously, ten broiler carcasses were selected randomly. Cecal swabs were collected in transport media (Cary Blair C & S collection vial, Hardy diagnostic, USA) and transported within 2-3 hours in a coolbox to the laboratory. A loopful inoculum from each transport broth was plated on the Campylobacter selective medium (Criterion, Hardy diagnostic). Medium enriched with 5%-10% (vol/ vol) sheep blood and Campylobacter selective supplement (Karmali, Oxoid). All plates were maintained at 42 °C for 48 hours in microaerophilic conditions created by CampyloGen TM (CN0035, Oxoid) inside an anaerobic jar. The colonies that showed mucoid, grayish, nonhemolytic, flat, and spreading colonies were selected. A presumptive diagnosis was made for each suspected colony by gram staining, biochemical testing for catalase and oxidase production, and indoxyl hydrolysis (WOAH, 2024).
Multiplex PCR for identifying C. jejuni and C. coli
Genomic DNA was extracted from two to three colonies of preliminary identified Campylobacter isolates using Bioneer extraction DNA kit®. Multiplex PCR assay was used to identify C. jejuni and C. coli by specific primers (Table 1) for the hipO gene and glyA gene, respectively, for all presumptively identified Campylobacter spp. isolates according to previous studies (Wang et al., 2002; Khalil et al., 2020). The PCR was carried out in 25 uL volume. The reaction mixture consisted of 2 uL of bacterial DNA, 4 uL of each primer, 4 uL Taq DNA polymerase, 0.24 mM deoxy nucleoside phosphate, and 2 Mm MgCl2. The PCR cycling conditions were performed as described previously (Wang et al., 2002), as follows: Initial denaturation step of 94 °C for 6 min, followed by 35 cycles, each consisting of 30 s at 95 °C, 30 s at 59 °C, 30 s at 72 °C, and a final extension at 72 °C for 7 min.

PCR amplification, sequencing, and bioinformatics analysis of 16S rRNA gene
All C. jejuni and C. coli isolates confirmed by species-specific PCR were subjected to PCR reaction targeting the 16S rRNA gene using universal primer pairs (Table 1).
A stratified random sampling approach was used to ensure representative selection of Campylobacter isolates for sequencing. Isolates were stratified into four groups based on geographic origin (Najaf, Karbala, Babylon, Muthanna) and further subdivided by colony morphology of C. jejuni and C. coli and PCR confirmation. Simple random sampling was applied to select isolates from different farms within each subgroup. Nine isolates (6 C. jejuni, 3 C. coli) were chosen for 16S rRNA sequencing, proportional to their prevalence in the overall dataset (Sahu, 2016; Temesgen et al., 2025). This number was selected to balance sequencing cost with the need to reflect the diversity of Campylobacter populations in the study. The 16S rRNA PCR products and primer pairs were then shipped to Bioneer Company (Korea) for sequencing. Genetic identities of the received sequences for C. jejuni and C. coli strains were confirmed using BLAST analysis through the National Center for Biotechnology Information (NCBI) BLAST tool (BLAST, 2025).
The Neighbor-Joining (NJ) method inferred the evolutionary history (Saitou & Nei, 1987). The bootstrap consensus tree inferred from 500 replicates represents the evolutionary history of the taxa analyzed (Felsenstein, 1985). Branches corresponding to partitions reproduced in less than 50% of bootstrap replicates are collapsed. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (500 replicates) are shown next to the branches (Felsenstein, 1985). The evolutionary distances were computed using the Tamura-Nei method (Tamura & Nei, 1993) and are in the units of the number of base substitutions per site. This analysis involved 9 nucleotide sequences. All ambiguous positions were removed for each sequence pair (pairwise deletion option). There were a total of 1287 positions in the final dataset. Evolutionary analyses were conducted in MEGA11 (Tamura et al., 2021).
Characterizing Campylobacter virulence genes
The confirmed C. jejuni and C. coli were assessed for the presence of each cadF and cdtB virulence gene. The primer details are presented in Table 1, and cycling program conditions were as mentioned above, with annealing at 45 °C for cadF and 57 °C for cdtB genes (Pacholewicz et al., 2020).
Statistical analysis
Chi-square and Fisher’s exact tests were used to compare significance between two percentages, which were performed using Social Science Statistics online software. A significant difference was considered when the p-value was less than 0.05 (Social Science Statistics, 2025).
Results
Prevalence of Campylobacter in broilers at slaughter
Bacteriological identification and traditional biochemical tests (oxidase, catalase, and indoxyl hydrolysis) were initially identified 89 Campylobacter spp. isolates. Multiplex PCR was the definitive confirmation method for identifying C. jejuni and C. coli. Totally 73 strains (36.5%) were characterized by multiplex PCR, 55 isolates (75.3%) were C. jejuni, and 18(24.7%) were C. coli (Figures 1 and 2), while 16 amplified no products.

The chi-squared analysis comparing the prevalence of two predominant species revealed a significant difference (χ²=18.75, P<0.0001), suggesting that C. jejuni is more prevalent in broilers at slaughter.

Table 2 lists a higher prevalence of Campylobacter in broilers collected from Babylon farms (56.7%), followed by those from Muthanna (50%), both with a statistical difference (χ²=11.88, P<0.05) than the other two studied provinces.

16S rRNA sequencing and phylogenetic analysis
As shown in Figure 3, all PCR-confirmed isolates of C. jejuni and C. coli were amplified 1500 bp bands corresponding to the 16S rRNA gene. After DNA sequencing, the sequences were analyzed using the NCBI BLAST tool to confirm the identity of the isolates.

The sequences were deposited in NCBI’s GeneBank database, and accession numbers were obtained for nine Campylobacter isolates (Table 3).

The phylogenetic tree (Figure 4), constructed using the NJ method in CLC Sequence Viewer 8.1, elucidated the genetic relationships among local C. jejuni isolates (OP263112, OP263113, OP263115, OP263116, OP263117, OP263118) and reference strains from Poland (MN708183.1), the Philippines (MZ028017.1), Thailand (MZ948908.1, MZ948926.1), and India (ON920206.1) based on 16S rRNA gene sequences.

Although the C. jejuni isolates formed four distinct clades, they are grouped into a distinct cluster. The genetic distance within the local isolates is smaller than their genetic distance from reference strains. The local C. jejuni strains have genetic relatedness (99.56%-99.91%) with the Indian (ON920206.1) and Thai (MZ948926.1 and MZ948908.1) reference strains that clustered together and related to the local cluster, indicating a close evolutionary relationship. In contrast, the greatest divergence was observed between the local isolates and Polish (MN708183.1) and Philippine (MZ028017.1) strains.
Figure 5 displays a phylogenetic tree illustrating the genetic relatedness among several Campylobacter isolates, specifically focusing on the C. coli isolates from this study (identified by accession numbers OP263114, OP263119, and OP263120) and reference strains from other locations. The tree was constructed using the NJ method in CLC Sequence Viewer 8.1. The three C. coli isolates from this study appear to cluster together. The local C. coli isolates (OP263114, OP263119, OP263120) exhibit a high degree of genetic relatedness (99.37%- 99.91%) to C. coli isolates from Spain (MT453963.1; MT453947.1; MT453968.1; MT453951.1), while a Campylobacter sp. isolate from Germany (PP989493.1) was showed a higher genetic distance from local C. coli strains.

Molecular detection of virulence factors
It can be seen from the data in Table 4 that out of 73 C. jejuni and C. coli isolates, 56 isolates (76.7%) were positive for the cadF gene, while 60(82.2%) were positive for the cdtB gene as detected by PCR (Figures 6 and 7). Statistical analysis showed no significant difference in the prevalence of these genes among the isolates (χ²=0.38, P=0.54). Regarding the distribution of these genes among two species, the cadF gene was identified in 42(76.36%) C. jejuni and 14(77.7%) C. coli isolates. The cdtB gene was found in 46(83.6%) C. jejuni and 14(77.7%) C. coli isolates. There was no statistically significant difference in the prevalence of the cadF gene between C. jejuni and C. coli (χ²=0.015, P>0.05).



Discussion
Concerning the first research question, it was found that the prevalence rate of molecularly confirmed Campylobacter spp. in the present study was 36.5%, which is comparable to findings from many countries such as Jordan (31.6%; Alaboudi et al., 2020), Iran 25.09% (Mousavinafchi et al., 2023), Italy (34%; Stella et al., 2017), and Poland (32.5%; Popa et al., 2025). However, a higher prevalence (66%) was reported in Uganda (Okello et al., 2025). This elevated prevalence may be attributed to Campylobacter contamination of broilers during transport to the slaughterhouse, potentially due to stress and feed withdrawal (Hakeem & Lu, 2021). Globally, the control of Campylobacter in broiler production remains challenging, and a multi-factorial approach should be applied on farms and in slaughterhouses, including transportation, biosecurity, and prevention programs (Olsen et al., 2024). Beyond immediate control measures, a principled and systematic approach is needed, including uninterrupted surveillance programs, source attribution, risk assessment, antimicrobial resistance monitoring, and evaluation of intervention strategies, particularly in developing countries (Nakhaee & Hafez, 2023).
Among 73 Campylobacter isolates, C. jejuni had the highest prevalence rate (75.3%), followed by C. coli (24.7%). Following the present results, previous studies have demonstrated that C. jejuni is the most dominant species isolated from broiler carcasses globally (Ansarifar et al., 2023; Bioumy et al., 2024; Okello et al., 2025; Phu et al., 2023). Detecting these species in the present study is of great importance related to foodborne infections and human health.
Another important finding was the significantly higher isolation rates of Campylobacter in broilers in Babylon and Muthanna provinces compared to Karbala and Najaf. A possible explanation for this variation might be the high poultry production density in Babylon and Muthanna, which may facilitate gut colonization with Campylobacter due to increased environmental contamination and bird-to-bird transmission (Hakeem & Lu, 2021). Additionally, differences in poultry farming practices, including management systems, biosecurity measures, and antimicrobial usage may have influenced the prevalence of Campylobacter (Gržinić et al., 2023; Wang et al., 2023). Specific biosecurity practices that could contribute to these differences include fly and rodent control, water sanitization protocols, broiler flock thinning schedules, and litter management programs. Previous studies have shown inadequate biosecurity and hygiene measures in broiler farms and slaughterhouses contribute to higher bacterial loads (Gržinić et al., 2023). Furthermore, the use of antibiotics at the slaughter stage might select resistant Campylobacter strains, influencing isolation rates (Sodagari et al., 2024). Lastly, the uneven distribution of sampled farms, only three farms each from Babylon and Muthanna compared to four from Karbala and ten from Najaf, may have also contributed to the observed variation in prevalence across governorates.
C. jejuni and C. coli are closely related to the bacterial species that cause many clinical cases of gastroenteritis worldwide (Mohan et al., 2025). Accurate and reliable molecular typing methods are therefore crucial for epidemiological investigations, source tracking, and understanding the transmission dynamics of these pathogens. The 16S rRNA gene sequence is used as a molecular tool to study phylogenetic relatedness and evolutionary history of bacterial isolates due to its conserved nature and sufficient variability for species differentiation (Nayak et al., 2014; Weinroth et al., 2021).
Phylogenetic analyses based on 16S rRNA sequence data showed that the local C. jejuni isolates (OP263112, OP263113–OP263118) form a distinct cluster, indicating a close genetic relationship among them, suggesting they share a common lineage separate from most reference strains. This cluster’s relatively short branch lengths imply minimal genetic variation among these isolates, consistent with localized transmission or a recent common ancestor (Clarridge, 2004). The local strains showed close genetic relationships with two C. jejuni strains from Thailand (MZ948926.1 and MZ948908.1) and a strain from India (ON920206.1), suggesting a common ancestry or similar evolutionary pathway, potentially influenced by global trade or environmental factors (Sheppard & Maiden, 2015). Despite this, the Polish and Philippine strains (MN708183.1 and MZ028071.1) are more genetically distant from the local isolates, highlighting potential geographical variation in C. jejuni populations, as previously noted in studies of Campylobacter diversity (Colles et al., 2003). These results highlight the genetic homogeneity of local C. jejuni strains and their closer evolutionary relationship with strains from Southeast Asia.
The phylogenetic tree analysis also elucidated the close relationship among local C. coli strains. The clustering of the OP263114, OP263119, and OP263120 isolates suggests they are genetically closely related, potentially indicating a common source or recent diversification within the study area (Mbindyo, 2023). On the other hand, several C. coli isolates from Spain and Campylobacter isolates from Germany showed relatively close relationships to the local C. coli isolates. It suggests potential links or shared ancestry with C. coli strains circulating in these European countries. These relationships may partly be explained by importing chicks and domesticated animals from these countries or through migratory wild birds (Kovač et al., 2015; Cody et al., 2015).
These findings underscore the need for further genomic analysis, such as whole-genome sequencing (WGS), to explore virulence, antimicrobial resistance, and host adaptation mechanisms in these local isolates with higher resolution and accuracy. It is well known that WGS provides greater discriminatory power than 16S rRNA sequencing alone, enabling detailed insights into pathogen evolution and epidemiology (Llarena et al., 2017). Such approaches could enhance our understanding of the local Campylobacter population structure and inform targeted public health interventions.
This study aimed to assess the presence of key virulence genes associated with adherence, invasion, and cytotoxicity using PCR. The cadF gene, which encodes a fibronectin-binding protein essential for bacterial attachment to host epithelial cells, is a crucial determinant of Campylobacter pathogenicity (Lu et al., 2025).
The cdt operon, responsible for encoding cytolethal distending toxin, plays a significant role in host cell cycle arrest and apoptosis, with cdtB acting as the catalytic subunit responsible for DNase activity (Chen, 2024).
In the present study, the prevalence of cadF was 83.3% in C. jejuni and 76.3% in C. coli isolates, indicating a widespread presence of this adhesion factor among the tested isolates. Similar observations have exhibited a higher prevalence of the cadF gene in Campylobacter recovered from broilers at slaughter in Egypt, Pakistan, and China (Yaseen et al., 2025; Bai et al., 2024; Mahmoud et al., 2024). Moreover, the cdtB gene was identified in most strains of C. jejuni and C. coli (77.7% and 83.6%, respectively). The presence of cdtB suggests that these isolates can cause cellular damage, contributing to the diarrheagenic potential of Campylobacter human infections (Reddy, 2016). Several studies have reported a higher prevalence of this gene in both species (Andrzejewska et al., 2015; Bioumy et al., 2024; Khoshbakht et al., 2013; Ripabelli et al., 2010). In Brazil, a very low prevalence (11.5%) of the cdtB gene was found in C. jejuni recovered from broiler carcasses (Clemente et al., 2024). Previous studies have demonstrated such genes in Campylobacter isolated from humans (Abraham et al., 2020; Kim et al., 2019). As a result, the presence of these genes in current Campylobacter isolates may be related to their pathogenicity and ability to cause human infections (Mousavinafchi et al., 2023; Wieczorek et al., 2018).
These results may highlight the pathogenic potential of Campylobacter isolates from broilers, necessitating rigorous control measures in poultry production. The widespread presence of cadF and cdtB in isolates from different regions suggests that virulence-associated genes are conserved in Campylobacter populations. The co-occurrence of these virulence genes in most isolates amplifies the risk of severe gastrointestinal infections in humans exposed to contaminated poultry products, particularly in areas with suboptimal food safety practices or limited surveillance systems. Consequently, these results underline the urgent need for targeted interventions at multiple poultry production stages and public health awareness to limit the spread of pathogenic and potentially zoonotic Campylobacter strains.
Conclusion
This study provides critical insights into the prevalence, genetic diversity, and virulence-associated factors of C. jejuni and C. coli in broilers from four governorates in Iraq. The findings reveal a significant prevalence of Campylobacter spp., with C. jejuni being more prevalent than C. coli. Farm management practices, biosecurity measures, and environmental factors may influence regional variations in Campylobacter prevalence. Phylogenetic analysis revealed close genetic relationships among local isolates, with some clustering alongside international reference strains, suggesting possible transmission routes or shared evolutionary origins. Additionally, detecting key virulence genes, including cadF and cdtB, underscores the pathogenic potential of these isolates, posing a notable public health risk. These findings advocate for targeted interventions, including enhanced farm biosecurity, optimized slaughterhouse protocols, regional surveillance, innovative approaches such as probiotics, bacteriophages, and vaccine development, and robust public health education. Implementing these strategies can curtail Campylobacter contamination and mitigate associated zoonotic risks. Future studies using whole-genome sequencing are recommended to explore antimicrobial resistance and transmission dynamics further, supporting evidence-based policies to protect public health.
Ethical Considerations
Compliance with ethical guidelines
This study collected cecal fecal samples from slaughtered chickens without further intervention. Farm owners provided verbal consent for their farms’ inclusion in the study. According to the guidelines of the Biosafety Committee at the University of Kufa, Kufa, Iraq, ethical approval was not required.
Funding
The paper was extracted from the PhD dissertation of Hussam M. Abdulwahab, approved by Department of of Pathology and Avian pathology, Faculty of Veterinary Medicine, University of Kufa, Iraq.
Authors' contributions
All authors equally contributed to preparing this article.
Conflict of interest
The authors declared no conflict of interest.
Acknowledgments
The authors would like to thank the Parasitology and Microbiology Department, Faculty of Veterinary Medicine, Department of Microbiology and Parasitology, Faculty of Veterinary Medicine, Al-Qadisiyah University, Diwaniyah, Iraq.
References
Abraham, S., Sahibzada, S., Hewson, K., Laird, T., Abraham, R., Pavic, A., et al. (2020). Emergence of fluoroquinolone-resistant campylobacter jejuni and campylobacter coli among australian chickens in the absence of fluoroquinolone use. Applied and Environmental Microbiology, 86(8), e02765-19. [DOI:10.1128/AEM.02765-19] [PMID]
Alaboudi, A. R., Malkawi, I. M., Osaili, T. M., Abu-Basha, E. A., & Guitian, J. (2020). Prevalence, antibiotic resistance and genotypes of Campylobacter jejuni and Campylobacter coli isolated from chickens in Irbid governorate, Jordan. International Journal of Food Microbiology, 327, 108656. [DOI:10.1016/j.ijfoodmicro.2020.108656] [PMID]
Ammar, A. M., El-Naenaeey, E.-S. Y., Abd El-Hamid, M. I., El-Gedawy, A. A., & Elmalt, R. M. S. (2021). Campylobacter as a major foodborne pathogen: A review of its characteristics, pathogenesis, antimicrobial resistance and control. Journal of Microbiology, Biotechnology and Food Sciences, 10(4), 609-619. [DOI:10.15414/jmbfs.2021.10.4.609-619]
Andrzejewska, M., Szczepańska, B., Śpica, D., & Klawe, J. J. (2015). Trends in the occurrence and characteristics of Campylobacter jejuni and Campylobacter coli isolates from poultry meat in Northern Poland. Food Control, 51, 190-194. [DOI:10.1016/j.foodcont.2014.11.014]
Ansarifar, E., Riahi, S. M., Tasara, T., Sadighara, P., & Zeinali, T. (2023). Campylobacter prevalence from food, animals, human and environmental samples in Iran: A systematic review and meta-analysis. BMC Microbiology, 23(1), 126. [DOI:10.1186/s12866-023-02879-w][PMID]
Bai, Y., Ma, J., Li, F., Yang, B., Ren, X., Wang, Y., et al. (2024). Antimicrobial Resistance and Genomic Characterization of Campylobacter jejuni and Campylobacter coli Isolated from Retail Chickens in Beijing, China. Microorganisms, 12(8), 1601. [DOI:10.3390/microorganisms12081601][PMID]
Bang, D. , Nielsen, E. M., Scheutz, F., Pedersen, K., Handberg, K., & Madsen, M. (2003). PCR detection of seven virulence and toxin genes of Campylobacter jejuni and Campylobacter coli isolates from Danish pigs and cattle and cytolethal distending toxin production of the isolates. Journal of Applied Microbiology, 94(6), 1003–1014. [DOI:10.1046/j.1365-2672.2003.01926.x] [PMID]
(2025). National Center for Biotechnology Information. Retrieved from: [Link]
Bioumy, H. M., Soliman, E., Zahran, S., & Elkhayat, M. (2024). Genotypic and phenotypic characterization of some virulence genes of Campylobacter species isolated from fresh meat. Benha Veterinary Medical Journal, 47(1), 119-123. [DOI:10.21608/bvmj.2024.286011.1819]
Chen, H. (2024). Understanding Campylobacter jejuni cytolethal distending toxin intracellular trafficking, structure-function relationships, and host cell interaction [doctoral dissertation]. Champaign: University of Illinois. [Link]
Clarridge, J. E. (2004). Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases. Clinical Microbiology Reviews, 17(4), 840-862. [DOI:10.1128/CMR.17.4.840-862.2004][PMID]
Clemente, S. M. D. S., Santos, S. F. D., Calaça, P. R. D. A., Soares, M. T. C. V., Silva, W. A. D., Melo, R. P. B. D., et al. (2024). Gene profile of virulence, antimicrobial resistance and action of enterocins in Campylobacter species isolated from broiler carcasses. Brazilian Journal of Microbiology. 56(1), 237–250. [DOI:10.1007/s42770-024-01559-9] [PMID]
Cody, A. J., McCarthy, N. D., Bray, J. E., Wimalarathna, H. M., Colles, F. M., Jansen van Rensburg, M. J., et al. (2015). Wild bird-associated Campylobacter jejuni isolates are a consistent source of human disease, in Oxfordshire, United Kingdom. Environmental Microbiology Reports, 7(5), 782-788. [DOI:10.1111/1758-2229.12314][PMID]
Colles, F., Jones, K., Harding, R. M., & Maiden, M. C. J. (2003). Genetic diversity of Campylobacter jejuni isolates from farm animals and the farm environment. Applied and Environmental Microbiology, 69(12), 7409-7413. [DOI:10.1128/AEM.69.12.7409-7413.2003][PMID]
Dogan, O. B., Clarke, J., Mattos, F., & Wang, B. (2019). A quantitative microbial risk assessment model of Campylobacter in broiler chickens: Evaluating processing interventions. Food Control, 100, 97-110. [DOI:10.1016/j.foodcont.2019.01.003]
Eden, P. , Schmidt, T. M., Blakemore, R. P., & Pace, N. R. (1991). Phylogenetic analysis of Aquaspirillum magnetotacticum using polymerase chain reaction-amplified 16S rRNA-specific DNA. International Journal of Systematic Bacteriology, 41(2), 324-325. [DOI:10.1099/00207713-41-2-324] [PMID]
EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis, K., Allende, A., Alvarez-Ordóñez, A., Bolton, D., Bover-Cid, S., et al. (2020). Update and review of control options for Campylobacter in broilers at primary production. EFSA Journal, 18(4), e06090. [DOI:10.2903/j.efsa.2020.6090] [PMID]
European Food Safety Authority (EFSA) & European Centre for Disease Prevention and Control (ECDC). (2019). The European: Union: One health 2018 Zoonoses report. EFSA Journal, 17(12), e05926. [DOI:10.2903/j.efsa.2019.5926][PMID]
European Food Safety Authority, & European Centre for Disease Prevention and Control (ECDC). (2015). The European Union summary report on trends and sources of zoonoses, zoonotic agents and food-borne outbreaks in 2 Efsa Journal, 13(12), 4329.[DOI:10.2903/j.efsa.2015.4329]
(2019). Monitoring and surveillance of antimicrobial resistance in bacteria from healthy food animals intended for consumption. Regional antimicrobial resistance monitoring and surveillance guidelines. Bangkok: FAO. [Link]
Felsenstein, J. (1985). Confidence limits on phylogenies: An approach using the bootstrap. Evolution, 39(4), 783-791. [DOI:10.1111/j.1558-5646.1985.tb00420.x] [PMID]
García-Sánchez, L., Melero, B., & Rovira, J. (2018). Campylobacter in the food chain. Advances in Food and Nutrition Research, 86, 215-252. [DOI:10.1016/bs.afnr.2018.04.005] [PMID]
Gržinić, G., Piotrowicz-Cieślak, A., Klimkowicz-Pawlas, A., Górny, R. L., Ławniczek-Wałczyk, A., Piechowicz, L., et al. (2023). Intensive poultry farming: A review of the impact on the environment and human health. Science of the Total Environment, 858(Pt 3), 160014. [DOI:10.1016/j.scitotenv.2022.160014] [PMID]
Hakeem, M. J., & Lu, X. (2021). Survival and Control of Campylobacter in Poultry Production Environment. Frontiers in Cellular and Infection Microbiology, 10, 615049. [DOI:10.3389/fcimb.2020.615049][PMID]
Hansson, I., Persson, M., Svensson, L., Engvall, E. O., & Johansson, K. E. (2008). Identification of nine sequence types of the 16S rRNA genes of Campylobacter jejuni subsp. jejuni isolated from broilers. Acta Veterinaria Scandinavica, 50(1), 10. [DOI:10.1186/1751-0147-50-10][PMID]
Huang, H., & Garcia, M. M. (2022). Isolation and identification of Campylobacter spp. from food and food-related environment. In G. Téllez-Isaías., S. El-Ashram (Eds.), Campylobacter (pp. 43). London: IntechOpen. [DOI:10.5772/intechopen.103114]
Hue, O., Le Bouquin, S., Laisney, M. J., Allain, V., Lalande, F., Petetin, I., et al. (2010). Prevalence of and risk factors for Campylobacter spp. contamination of broiler chicken carcasses at the slaughterhouse. Food Microbiology, 27(8), 992–999. [DOI:10.1016/j.fm.2010.06.004] [PMID]
Igwaran, A., & Okoh, A. I. (2019). Human campylobacteriosis: A public health concern of global importance. Heliyon, 5(11), e02814. [DOI:10.1016/j.heliyon.2019.e02814][PMID]
Kemper, L., & Hensel, A. (2023). Campylobacter jejuni: Targeting host cells, adhesion, invasion, and surviv Applied Microbiology and Biotechnology, 107(9), 2725–2754. [DOI:10.1007/s00253-023-12456-w][PMID]
Khalil, M., Moawad, A., Kafafy, M. H., Fahmy, H., & Sobhy, M. (2020). Molecular characterization of Campylobacter species from turkey flocks in delta go Assiut Veterinary Medical Journal, 66(164), 111-117. [DOI:10.21608/avmj.2020.167255]
Khoshbakht, R., Tabatabaei, M., Hosseinzadeh, S., Shekarforoush, S. S., & Aski, S. (2013). Distribution of nine virulence-associated genes in Campylobacter jejuni and C. coli isolated from broiler feces in Shiraz, Southern Iran. Foodborne Pathogens and Disease, 10(9), 764-770. [DOI:10.1089/fpd.2013.1489] [PMID]
Kim, J., Park, H., Kim, J., Kim, J. H., Jung, J. I., Cho, S., et al. (2019). Comparative analysis of aerotolerance, antibiotic resistance, and virulence gene prevalence in Campylobacter jejuni isolates from retail raw chicken and duck meat in South Korea. Microorganisms, 7(10), 433. [DOI:10.3390/microorganisms7100433][PMID]
Konkel, M. E., Gray, S. A., Kim, B. J., Garvis, S. G., & Yoon, J. (1999). Identification of the enteropathogens Campylobacter jejuni and Campylobacter coli based on the cadF virulence gene and its product. Journal of Clinical Microbiology, 37(3), 510-517. [DOI:10.1128/JCM.37.3.510-517.1999][PMID]
Kovač, J., Čadež, N., Stessl, B., Stingl, K., Gruntar, I., Ocepek, M., et al. (2015). High genetic similarity of ciprofloxacin-resistant Campylobacter jejuni in central Europe. Frontiers in Microbiology, 6,[DOI:10.3389/fmicb.2015.01169][PMID]
Llarena, A. K., Taboada, E., & Rossi, M. (2017). Whole-genome sequencing in epidemiology of Campylobacter jejuni infections. Journal of Clinical Microbiology, 55(5), 1269-1275. [DOI:10.1128/JCM.00017-17][PMID]
Lu, J., Linz, D., Struewing, I., Keely, S. P., Jahne, M., Gruber, T. M., et al. (2025). Virulence and infectious assessment of a Campylobacter jejuni strain isolated from California gull. Microbiology Spectrum, 13(5), e0170524. [DOI:10.1128/spectrum.01705-24][PMID]
Mahmoud, H. A., Abd Al-Azeem, M. W., & Mohamed, H. (2024). Molecular detection of Campylobacter jejuni in broilers with regards to biofilm and virulence genes. Assiut Veterinary Medical Journal, 70(183), 386-400. [DOI:10.21608/avmj.2024.310984.1340]
Mbindyo, S. N., Kitaa, J. M. A., Abuom, T. O., Aboge, G. O., Muasya, D. W., Muchira, B. W., et al. (2023). Molecular prevalence and risk factors of campylobacter infection in puppies in the Nairobi Metropolitan Region, Kenya. Veterinary Medicine International, 2023, 8813405. [DOI:10.1155/2023/8813405][PMID]
Mia, M., Hasan, M., Pory, F., Kakon, M., Islam, M., Bari, R., et a (2024). Global systematic review and meta-analysis on foodborne thermotolerant Campylobacter prevalence in different species of poultry birds and associated sources of contamination. Bulgarian Journal of Veterinary Medicine, 27(3), 1-15. [DOI:10.15547/bjvm.2022-0073]
Mohan, V., Strepis, N., Mitsakakis, K., Becker, K., Chindelevitch, L., & Shivaperumal, N., et al. (2025). Antimicrobial resistance in Campylobacter spp. focussing on C. jejuni and C. coli–A Narrative Review. Journal of Global Antimicrobial Resistance, 43, 372-389. [Link]
Mousavinafchi, S. B., Rahimi, E., & Shakerian, A. (2023). Campylobacter spp. isolated from poultry in Iran: Antibiotic resistance profiles, virulence genes, and molecular mechanisms. Food Science & Nutrition, 11(2), 1142-1153. [DOI:10.1002/fsn3.3152][PMID]
Nakhaee, P., & Hafez, M. H. (2023). A review on significance of public health issues related to poultry Campylobacteriosis. Journal of Poultry Sciences and Avian Diseases, 1(1), 52-66. [DOI:10.61186/jpsad.1.1.52]
Natsos, G., Mouttotou, N. K., Ahmad, S., Kamran, Z., Ioannidis, A., & Koutoulis, K. C. (2019). The genus Campylobacter: Detection and isolation methods, species identification & typing techniques. Journal of the Hellenic Veterinary Medical Society, 70(1), 1327-1338. [DOI:10.12681/jhvms.20337]
Nayak, S., Porob, S., Fernandes, A., Meena, R. M., & Ramaiah, N. (2014). PCR detection of ansA from marine bacteria and its sequence characteristics from Bacillus tequilensis NIOS4. Journal of Basic Microbiology, 54(2), 162-168. [DOI:10.1002/jobm.201200355] [PMID]
Okello, P., Bjöersdorff, O. G., Hansson, I., Boqvist, S., & Erume, J. (2025). Prevalence and antimicrobial resistant Campylobacter spp. in broiler chicken carcasses and hygiene practises in informal urban markets in a low-income setting. Plos One, 20(1), e0318516. [DOI:10.1371/journal.pone.0318516][PMID]
Olsen, A., Bonardi, S., Barco, L., Sandberg, M., Langkabel, N., Roasto, M., et al. (2024). A comparison of European surveillance programs for Campylobacter in broiler Food Control, 155, 110059. [DOI:10.1016/j.foodcont.2023.110059]
Pacholewicz, E., Buhler, C., Wulsten, I. F., Kraushaar, B., Luu, H. Q., Iwobi, A. N., et al. (2019). Internal sample process control improves cultivation-independent quantification of thermotolerant Campylobacter. Food Microbiology, 78, 53-61. [DOI:10.1016/j.fm.2018.09.017] [PMID]
Perez-Arnedo, I., & Gonzalez-Fandos, E. (2019). Prevalence of Campylobacter spp. in poultry in three Spanish farms, a slaughterhouse and a further processing plant. Foods, 8(3), 111. [DOI:10.3390/foods8030111][PMID]
Phosa, M., Fasina, F. O., Morar-Leather, D., & Adesiyun, A. A. (2022). Prevalence and characterization of Campylobacter species from chickens sold at informal chicken markets in Gauteng, South Africa. Journal of Food Protection, 85(10), 1458-1468. [DOI:10.4315/JFP-21-454] [PMID]
Phu, D. H., Narinthorn, R., Nhung, N. T., Chansiripornchai, N., Blackall, P. J., Turni, C., et al. (2024). The characterization and correlation between the phenotypic and genotypic resistance of Campylobacter spp. isolates from commercial broilers and native chickens in the south of Thailand. Avian Pathology, 53(1), 1–13. [DOI:10.1080/03079457.2023.2260322] [PMID]
Popa, S. A., Herman, V., Tîrziu, E., Morar, A., Ban-Cucerzan, A., Imre, M., et al. (2025). Public health risk of Campylobacter spp. isolated from slaughterhouse and retail poultry meat: Prevalence and antimicrobial resistance profiles. Pathogens, 14(4), 316. [DOI:10.3390/pathogens14040316][PMID]
Reddy, S. (2016). Genetic characterization and molecular detection of antimicrobial resistance genes and virulence genes present in Campylobacter spp. isolated from broiler chickens and human clinical samples in Durban [PhD dissertation]. KwaZulu-Natal: University of KwaZulu-Natal, Westville.
Ripabelli, G., Tamburro, M., Minelli, F., Leone, A., & Sammarco, M. L. (2010). Prevalence of virulence-associated genes and cytolethal distending toxin production in Campylobacter spp. isolated in Italy. Comparative Immunology, Microbiology and Infectious Diseases, 33(4), 355-364. [DOI:10.1016/j.cimid.2008.12.001] [PMID]
Sahu, P. K. (2016). Applied statistics for agriculture, veterinary, fishery, dairy and allied fields. New Delhi: Springer. [DOI:10.1007/978-81-322-2831-8_6]
Saitou, N., & Nei, M. (1987). The neighbor-joining method: A new method for reconstructing phylogenetic trees. Molecular Biology and Evolution, 4(4), 406-425. [DOI:10.1093/oxfordjournals.molbev.a040454]
Shange, N., Gouws, P., & Hoffman, L. C. (2019). Campylobacter and Arcobacter species in food-producing animals: Prevalence at primary production and during slaughter. World Journal of Microbiology & Biotechnology, 35(9), 146. [DOI:10.1007/s11274-019-2722-x] [PMID]
Sheppard, S. K., & Maiden, M. C. (2015). The evolution of Campylobacter jejuni and Campylobacter coli. Cold Spring Harbor Perspectives in Biology, 7(8), a018119. [DOI:10.1101/cshperspect.a018119][PMID]
Sodagari, H. R., Agrawal, I., Sohail, M. N., Yudhanto, S., & Varga, C. (2024). Monitoring antimicrobial resistance in Campylobacter isolates of chickens and turkeys at the slaughter establishment level across the United States, 2013-2021. Epidemiology and Infection, 152,[DOI:10.1017/S0950268824000359][PMID]
Social Science Statistics. (2025). Social Science Statistics calculators. Retrieved from: [Link]
Stella, S., Soncini, G., Ziino, G., Panebianco, A., Pedonese, F., Nuvoloni, R., et al. (2017). Prevalence and quantification of thermophilic Campylobacter spp. in Italian retail poultry meat: Analysis of influencing factors. Food Microbiology, 62, 232–238. [DOI:10.1016/j.fm.2016.10.028] [PMID]
Syarifah, I. K., Latif, H., Basri, C., & Rahayu, P. (2020). Identification and differentiation of Campylobacter isolated from chicken meat using real-time polymerase chain reaction and high resolution melting analysis of hipO and glyA genes. Veterinary World, 13(9), 1875–1883. [DOI:10.14202/vetworld.2020.1875-1883][PMID]
Tamura, K., & Nei, M. (1993). Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanz Molecular Biology and Evolution, 10(3), 512-526. [DOI:10.1093/oxfordjournals.molbev.a040023]
Tamura, K., Stecher, G., & Kumar, S. (2021). MEGA11: Molecular evolutionary genetics analysis version 11. Molecular Biology and Evolution, 38(7), 3022-3027. [DOI:10.1093/molbev/msab120][PMID]
Temesgen, L., Tufa, T. B., & Abunna, F. (2025). Isolation, Identification and Antimicrobial Resistance Profile of Salmonella in Raw cow milk & its products in Bishoftu city, central Ethiopia: implication for public healt One Health Outlook, 7(1), 10. [DOI:10.1186/s42522-025-00134-y][PMID]
Thames, H. T., Fancher, C. A., Colvin, M. G., McAnally, M., Tucker, E., Zhang, L., et al. (2022). The prevalence of Salmonella and Campylobacter on broiler meat at different stages of commercial poultry processing. Animals, 12(18), 2460. [DOI:10.3390/ani12182460][PMID]
Thrusfield, M. (2018). Veterinary epidemiology. Hoboken: John Wiley & Sons. [Link]
Waje, T., Iliyasu, C., Yaki, L. M., & Auta, I. K. (2024). Occurrence of genetic diversity, virulence, and resistance genes among Campylobacter species in Nigeria: A review. Current Clinical Microbiology Reports, 11(2), 35-42. [DOI:10.1007/s40588-024-00218-9]
Wang, G., Clark, C. G., Taylor, T. M., Pucknell, C., Barton, C., & Price, L. (2002). Colony multiplex PCR assay for identification and differentiation of Campylobacter jejuni, C. coli, C. lari, C. upsaliensis, and C. fetus subsp. fetus. Journal of Clinical Microbiology, 40(12), 4744-4747. [DOI:10.1128/JCM.40.12.4744-4747.2002][PMID]
Wang, J., Vaddu, S., Bhumanapalli, S., Mishra, A., Applegate, T., Singh, M., & Thippareddi, H. (2023). A systematic review and meta-analysis of the sources of Campylobacter in poultry production (preharvest) and their relative contributions to the microbial risk of poultry meat. Poultry Science, 102(10), 102905. [DOI:10.1016/j.psj.2023.102905][PMID]
Weinroth, M. D., Belk, A. D., Dean, C., Noyes, N., Dittoe, D. K., Rothrock Jr, M. J., et al. (2022). Considerations and best practices in animal science 16S ribosomal RNA gene sequencing microbiome studies. Journal of Animal Science, 100(2), skab346. [DOI:10.1093/jas/skab346][PMID]
Wieczorek, K., Wołkowicz, T., & Osek, J. (2018). Antimicrobial resistance and virulence-associated traits of Campylobacter jejuni isolated from poultry food chain and humans with diarrhea. Frontiers in Microbiology, 9, 1508. [DOI:10.3389/fmicb.2018.01508][PMID]
World Health Organization (WHO). Campylobacter [Internet]. Retrieved from: [Link]
World Organisation for Animal Health. (2024). Infection with Campylobacter jejuni and Campylobacter coli. In Office international des épizooties (Ed.), Manual of diagnostic tests and vaccines for terrestrial animals (pp. 1-9). Paris: Office International Des Épizooties. [Link]
Yaseen, K., Ali, S., Rahman, S. U., & Sajid, M. S. (2025). Comparative molecular virulence typing and antibiotic resistance of Campylobacter species at the human-animal-environment interface. Foodborne Pathogens and Disease, 22(2), 109-117. [DOI:10.1089/fpd.2023.0104] [PMID]