ABSTRACT
Background and Aim: Avian malaria caused by
Materials and Methods: A cross-sectional survey was conducted from January to April 2025 using 181 blood samples collected from Thai native chickens (n = 112) and fighting cocks (n = 69) across 18 districts of Kalasin Province, Thailand. Genomic DNA was extracted using a commercial kit, and
Results: The overall molecular prevalence of
Conclusion: This study confirms the hyper-endemic circulation of
Keywords: avian malaria,
INTRODUCTION
Poultry farming plays a crucial role in global food security by providing an affordable and rapid source of high-quality animal protein compared to large livestock. In this sector, Thailand has established itself as a leading global hub, ranking fifth in the world for poultry meat production. Among the diverse poultry populations, Thai native chickens (
Avian malaria, caused by parasites of the genus
In Thailand, molecular investigations of avian haemosporidians have received increasing attention in recent years. Several studies have reported the genetic diversity and prevalence of blood parasites in different avian hosts, including fighting cocks [13], backyard chickens (
The diagnosis of avian malaria has evolved from conventional microscopic examination to molecular techniques due to their greater sensitivity and specificity. Multi-locus analysis targeting the
Despite the increasing number of molecular studies on avian haemosporidians in Thailand and neighboring countries, important gaps remain in the understanding of the epidemiology of
Another important limitation of previous reports is the lack of studies integrating spatial epidemiology with molecular phylogenetic analysis across multiple districts within the same province. Kalasin Province represents a unique ecological setting characterized by freshwater reservoirs, irrigation systems, and mixed poultry production, which may favor the proliferation of mosquito and biting midge vectors. Furthermore, Thai native chickens are commonly raised under free-range conditions, whereas fighting cocks are generally kept under more controlled management, resulting in different levels of exposure to insect vectors. However, comparative molecular data between these two management systems are still lacking. This lack of evidence limits understanding of how environmental conditions, husbandry practices, and host type influence the transmission of
Therefore, the present study was designed to investigate the molecular epidemiology of
By combining district-level sampling, comparison of host management systems, and molecular phylogenetic characterization based on the
MATERIALS AND METHODS
Ethical approval
The study protocol was reviewed and approved by the Institutional Ethical Committee of Kalasin University, Thailand (approval no. KSU-AE-029; approved on 05 August 2024). All procedures involving animals were conducted in accordance with institutional guidelines for animal care and use and complied with the national regulations for animal welfare in Thailand.
Blood samples were collected from Thai native chickens and fighting cocks using standard veterinary procedures designed to minimize pain, stress, and discomfort. No experimental infection, surgical intervention, or harmful manipulation of animals was performed during the study. All sampling procedures were carried out by trained personnel under appropriate handling conditions to ensure animal safety.
Permission for sample collection was obtained from farm owners before sampling, and informed verbal consent was secured for the use of samples for research purposes. The study involved only routine diagnostic sampling, and therefore, no animals were sacrificed specifically for this research.
All laboratory procedures were performed in accordance with biosafety guidelines for handling biological samples, and appropriate measures were taken to prevent contamination and ensure safe disposal of biological waste.
The study was conducted in compliance with internationally accepted principles for ethical use of animals in research and followed the recommendations for humane treatment of animals in veterinary and biomedical investigations.
Study period and location
A cross-sectional study was conducted from January to April 2025, a period marking the transition from the cool dry season to the hot season, in Kalasin Province, Thailand (Figure 1). Kalasin occupies an area of 6,947 km² and is geographically located at 16.635540°N, 103.772418°E. The study area is situated at an altitude of approximately 147 m above mean sea level, with an average temperature of 26.8°C and annual rainfall of 1,407 mm. Blood samples were collected from all 18 districts of the province, namely Kham Muang, Tha Khantho, Sam Chai, Somdet, Na Khu, Nong Kung Si, Sahatsakhan, Khao Wong, Huai Phung, Huai Mek, Na Mon, Kuchinarai, Muang Kalasin, Don Chan, Yang Talat, Rong Kham, Kamalasai, and Kong Chai. The identification procedures were performed at the Laboratory of the Department of Veterinary Technology, Faculty of Agricultural Technology, Kalasin University.
Figure 1. Map of Kalasin Province, Thailand (left), and the 18 districts of the sampling sites for chicken blood samples (right). The map was generated by modifying the Kalasin map from GADM version 2.8.
Sample size
Samples from 181 Thai native chickens and fighting cocks were collected from all 18 districts. The sample size was determined using the following equation:
Sample size = (1.96² pq) / L²
Here, n = sample size, p = expected prevalence, q = 1 − p, and L = limit of error on the prevalence (0.05). Since the actual prevalence in the Thai native chicken population was unknown but expected to be high based on regional data, the calculation was performed using an assumed prevalence of 90% (p = 0.9, q = 0.1). Based on this calculation (Z = 1.96 for 95% confidence interval), the minimum required sample size was 139 chickens [19, 20].
Sampling
Farms were selected using convenience sampling based on the availability of animals and the willingness of owners to participate. A total of 181 blood samples were collected from Thai native chickens (n = 112) and fighting cocks (n = 69) within the study area described above. Blood samples (approximately 0.1–0.5 mL) were collected from the wing vein into sterile tubes containing ethylenediaminetetraacetic acid (EDTA) anticoagulant. Samples were placed in an ice box during transport to the Laboratory of the Department of Veterinary Technology, Faculty of Agricultural Technology, Kalasin University, and stored at −20°C before DNA extraction.
DNA extraction and molecular examination of malaria infections
Genomic DNA was extracted from 200 µL of each blood sample using GF-1 Blood DNA Extraction Kit (Vivantis Technologies, Selangor, Malaysia) according to the manufacturer’s instructions. Genomic DNA was eluted in 50 µL of elution buffer. The concentration and purity of the extracted DNA were measured using a spectropho-tometer (NanoDrop, Thermo Scientific, Waltham, MA, USA). Only DNA samples with an A260/A280 ratio between 1.8 and 2.0 were used for further polymerase chain reaction analysis. Each extracted DNA sample was stored at −20°C until molecular identification of
Molecular detection by polymerase chain reaction (PCR)
A fragment of 377 bp of the mitochondrial
The PCR was performed in a final volume of 25 µL containing 1.5 mM MgSO4, 0.2 mM dNTPs, 1× PCR buffer, 1 U of
Figure 2. Agarose gel electrophoresis (1.5%) showing polymerase chain reaction amplification products of the mitochondrial cytochrome c oxidase subunit III (
Quality control and prevention of contamination
To ensure the reliability of the PCR assay, strict quality control measures were applied. Genomic DNA extracted from a chicken previously confirmed to be infected with
Nucleotide sequencing and phylogenetic analysis
Thirty-two PCR amplicons showing clear bands of the target gene (377 bp) were selected for nucleotide sequencing (Macrogen, Seoul, South Korea). Chromatograms were checked visually, and sequences were edited and aligned using BioEdit 7.2 [22] and MEGA X software [23]. Sequence identity was verified using the BLAST tool of the National Center for Biotechnology Information. All sequences were deposited in the GenBank database under accession numbers PQ783679–PQ783710.
Before phylogenetic analysis, all sequences were examined in BioEdit software, and low-quality nucleotide regions at the 5′ and 3′ ends were removed. Alignment was performed using the ClustalW algorithm, and gaps or missing data were treated using the complete deletion option. The final dataset contained a uniform sequence length of 377 bp for all isolates. The best-fit nucleotide substitution model was selected based on the lowest Bayesian Information Criterion value using MEGA-XII. Phylogenetic trees were constructed using the Maximum Likelihood method, and branch support was evaluated with 1,000 bootstrap replications. Branch lengths were expressed as the number of substitutions per site.
Statistical analysis
Statistical analysis was performed using SPSS version 25.0 (IBM Corp., NY, USA). The prevalence of
RESULTS
Prevalence of Plasmodium infection in native chickens
Molecular detection using PCR targeting the non-coding region of mtDNA revealed that 114 out of 181 samples were positive for
Table 1. Prevalence of
| Management System | Total Samples (n) | No. Positive | Prevalence (%) | 95% CI |
|---|---|---|---|---|
| Thai native chicken (Free-range system) | 112 | 76 | 67.86 | 58.75 – 75.83 |
| Fighting cock (Intensive care system) | 69 | 38 | 55.07 | 43.32 – 66.28 |
| Total | 181 | 114 | 62.98 | 55.77 – 69.65 |
χ² = 2.470, p-value = 0.116ns. ns = no statistical significance (p > 0.05), CI = Confidence interval.
In contrast, the spatial distribution of infection among the 18 districts in Kalasin Province showed statistically significant variation (χ² = 40.416, p = 0.001) (Table 2). The highest prevalence was observed in Kham Muang District (100%), followed by Huai Mek (90%) and Nong Kung Si (85.71%). Conversely, the lowest prevalence rates were found in Na Mon and Kamalasai (20%). Detailed prevalence data for all districts are presented in Table 2.
Table 2. Prevalence of
| District | Total Samples (n) | No. Positive | Prevalence (%) | 95% CI |
|---|---|---|---|---|
| Kham Muang | 10 | 10 | 100.00 | 72.25 – 100.00 |
| Huai Mek | 10 | 9 | 90.00 | 59.58 – 98.21 |
| Nong Kung Si | 7 | 6 | 85.71 | 48.69 – 97.43 |
| Kong Chai | 7 | 6 | 85.71 | 48.69 – 97.43 |
| Khao Wong | 6 | 5 | 83.33 | 43.65 – 96.99 |
| Rong Kham | 10 | 8 | 80.00 | 49.02 – 94.33 |
| Tha Khantho | 10 | 8 | 80.00 | 49.02 – 94.33 |
| Na Du | 10 | 8 | 80.00 | 49.02 – 94.33 |
| Yang Talat | 7 | 5 | 71.43 | 35.89 – 91.78 |
| Muang Kalasin | 20 | 14 | 70.00 | 48.10 – 85.45 |
| Don Chan | 10 | 6 | 60.00 | 31.27 – 83.18 |
| Kuchinarai | 10 | 5 | 50.00 | 23.66 – 76.34 |
| Sahatsakhan | 14 | 7 | 50.00 | 26.80 – 73.20 |
| Somdet | 10 | 5 | 50.00 | 23.66 – 76.34 |
| Huai Phung | 10 | 4 | 40.00 | 16.82 – 68.73 |
| Sam Chai | 10 | 4 | 40.00 | 16.82 – 68.73 |
| Na Mon | 10 | 2 | 20.00 | 5.67 – 50.98 |
| Kamalasai | 10 | 2 | 20.00 | 5.67 – 50.98 |
| Overall | 181 | 114 | 62.98 | 55.77 – 69.65 |
χ² = 40.416 p-value = 0.001*, CI = Confidence interval.
* indicates statistical significance (p < 0.05). Comparison among 18 districts.
Molecular detection of malaria infections
Sequencing analysis of the 32 PCR products obtained from Kalasin Province revealed two distinct haplotypes of
Figure 3. Phylogenetic tree constructed using the Maximum Likelihood method based on the mitochondrial
Haplotype I was the predominant lineage, identified in 29 samples. As detailed in Table 3, this haplotype exhibited a broad host range, being detected across all examined Thai native chicken breeds (Chee, Leung Hang Kaw, Dang, and local chickens) as well as in fighting cocks. Phylogenetically, Haplotype I formed a tight cluster with
Table 3. Distribution of
| Haplotype | Host/Breed | Sample ID | GenBank accession numbers | Closest NCBI Sequence (% similarity) |
|---|---|---|---|---|
| I | Thai Native Chicken - Chee | NM5, NM7, KR016 | PQ783679–PQ783681 | |
| I | Thai Native Chicken - Leung Hang Kaw | MU21, U24 | PQ783682–PQ783683 | |
| I | Thai Native Chicken - Dang | MU31, U32, MU37, K41 | PQ783684–PQ783687 | |
| I | Thai Native Chicken - Local Chicken | RK43, K49, KW52, KW55, KW056, HM170, NS171, NS173, NS175, NC179, NC184, KC189 | PQ783688–PQ783693, PQ783702–PQ783710 | |
| I | Fighting Cock | KS60, KS61, NK153, NK159, NK160, HM162, HM166, HM167 | PQ783694–PQ783701 | |
| II | Thai Native Chicken - Local Chicken | NK152, NK157 | PQ783696, PQ783698 | |
| II | Fighting Cock | KW002 | PQ783690 |
In contrast, Haplotype II was detected in only three samples (local chickens and fighting cocks) (Table 3). Interestingly, this haplotype formed a distinct sub-branch within Clade A. Although still belonging to the broader avian
DISCUSSION
Prevalence and epidemiological significance
In the present study, we examined the molecular prevalence and genetic diversity of
Recently,
Effect of management system on infection rate
A critical aspect of this investigation was the direct molecular comparison between poultry types reared under different management systems. Unlike studies focusing on a single host type, this approach allows evaluation of the influence of husbandry practices on disease exposure. Although the difference was not statistically significant (p > 0.05), a higher prevalence was observed in free-range Thai native chickens (67.85%) compared with intensively managed fighting cocks (55.07%).
This trend may be explained by differences in vector exposure related to management practices. Fighting cocks are high-value animals and are usually raised with strict protective measures. They are often kept in cages covered with mosquito nets or cloth during the night, which reduces exposure to
Influence of environmental factors
Environmental heterogeneity also played a major role in disease distribution, as evidenced by statistically significant variation in prevalence across the 18 districts (p < 0.05), ranging from 20% to 100%. High prevalence areas such as Kham Muang (100%) are located near large freshwater reservoirs and irrigation systems associated with the Lam Pao Dam. This observation is consistent with previous studies showing that dam construction and irrigation systems can increase malaria risk by creating permanent breeding habitats for mosquito vectors such as
These water resources, together with stagnant water, rice fields, and dense vegetation, provide suitable breeding conditions for
Pathogenicity and host–parasite relationship
The absence of severe clinical signs may indicate endemic stability or long-term adaptation between native chicken breeds and circulating
Phylogenetic characterization
This study provides the first molecular characterization of
The high nucleotide similarity between Thai isolates and South American strains also indicates strong evolutionary conservation of the mitochondrial
Study limitations
Several limitations should be considered when interpreting the results. First, the cross-sectional design provides only a single time-point assessment and does not allow evaluation of seasonal variation or incidence. Second, sampling was limited to the dry season (January–April), and prevalence may be higher during the rainy season when vector populations increase. Third, the study relied on a single-marker PCR assay based on the mitochondrial
CONCLUSION
The present study confirmed the high molecular prevalence of
From a practical perspective, the high prevalence observed in this study indicates that Thai native chickens may act as important reservoir hosts for avian malaria parasites under tropical farming conditions. Improved vector control, better housing management, and reduction of standing water around poultry farms may help reduce transmission risk, especially in areas located near irrigation networks or freshwater reservoirs. The findings also demonstrate the usefulness of PCR-based surveillance using the
A major strength of this study is the inclusion of samples from all districts of Kalasin Province combined with molecular detection and phylogenetic analysis, providing comprehensive baseline data on the distribution and genetic diversity of
In conclusion, this study provides the first district-level molecular evidence of hyper-endemic circulation of
DATA AVAILABILITY
The data generated during the study are included in the manuscript.
AUTHORS’ CONTRIBUTIONS
JS: Sample collection, DNA extraction, formal analysis, visualization, and manuscript review. ST: Conceptualization, methodology, data curation, project administration, supervision, writing, review, and editing. Both authors have read and approved the final manuscript.
COMPETING INTERESTS
The authors declare that they have no competing interests.
PUBLISHER’S NOTE
Veterinary World remains neutral with regard to jurisdictional claims in the published institutional affiliations.
ACKNOWLEDGMENTS
The study was supported by the Department of Veterinary Technology and Department of Animal Science, Faculty of Agricultural Technology, Kalasin University, Thailand. The authors would like to express their most sincere thanks to Thailand Science Research and Innovation (TSRI) for providing financial support (Grant No. 65A125000002).
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