ABSTRACT
Avian coccidiosis, caused by multiple
Keywords: anticoccidial resistance, chicken coccidiosis, diagnostic reliability,
INTRODUCTION
The poultry industry is one of the main suppliers of animal protein (meat and eggs) worldwide [1]. The United States Department of Agriculture reported that global chicken meat production reached 103.73 million metric tons in 2024–2025, representing a slight increase from 103.68 million metric tons in 2023 [2]. With the global human population projected to reach 9 billion by 2050, there is an urgent need to increase the production of safe, sustainable protein sources [3].
Coccidiosis is a major parasitic disease affecting the poultry industry worldwide and remains a critical constraint to efficient production. The disease is caused by infection with one or more species of
The increasing availability of whole-genome sequences and advanced molecular tools has revealed extensive genetic diversity within and between
In addition to affecting control strategies, genetic variation poses challenges for diagnostic accuracy. Conventional diagnostic approaches based on morphology, serology, or antigen detection may fail to distinguish closely related or co-infecting species. Molecular methods such as polymerase chain reaction (PCR), targeting sporozoite antigen genes, internal transcribed spacer (ITS) regions, or 18S ribosomal DNA (rDNA), have improved species-specific detection, particularly in mixed infections, enabling identification of minor species and field isolates [10]. However, genetic heterogeneity and polymorphisms within target regions can still lead to misidentification or underestimation of infection prevalence.
Collectively, these observations demonstrate that genetic variation in
Despite significant advances in genomics and molecular parasitology, several critical gaps remain in understanding the functional implications of genetic diversity in
This review aims to provide a comprehensive and integrated analysis of how genetic diversity within
Figure 1. Genetic variation as the central driver of coccidiosis control failure and adaptation in chicken
REVIEW METHODOLOGY
Ethical approval
This study was conducted as a narrative review and did not involve any
Study design
This review was conducted as a narrative, evidence-based synthesis focusing on genetic variation in chicken-infecting
This review was conducted over a defined period corresponding to the literature search and analysis phase. The study did not involve a specific geographic sampling location, as it synthesized global research findings on
Literature search strategy
A comprehensive literature search was performed using PubMed, Web of Science, Scopus, and Google Scholar. Searches employed combinations of keywords including
Eligibility criteria
Peer-reviewed articles published primarily within the last two decades were included. Earlier studies were considered seminal, where relevant, for historical or conceptual context. Eligible studies included genomic and molecular investigations, experimental infection studies, vaccine and drug efficacy evaluations, and diagnostic assessments related to chicken-infecting
Study selection process
Titles and abstracts were initially screened for relevance, followed by full-text assessment of selected articles. Studies were included if they addressed genetic diversity, molecular or genomic variation, and their functional or applied consequences for pathogenicity, host immune responses, control strategies, or diagnostic accuracy.
Data extraction and synthesis
Key information extracted included types of genetic variants (e.g., SNPs, insertions/deletions, CNVs, structural variants), affected genes or genomic regions, experimental models used, and reported phenotypic outcomes related to virulence, immunogenicity, vaccine protection, drug resistance, or diagnostic reliability. Due to heterogeneity in study designs and outcome measures, data were synthesized thematically rather than quantitatively.
Data integration and interpretation
Findings were integrated across thematic sections to highlight mechanistic links between genetic variation and challenges in disease control, with emphasis on identifying research gaps, methodological limitations, and future directions for genomics-guided control strategies.
Limitations
As a narrative review, this synthesis does not employ formal risk-of-bias assessment or quantitative meta-analysis, and conclusions are contingent on the scope and quality of available studies.
CHICKEN COCCIDIOSIS
Avian coccidiosis is a severe parasitic disease caused by Eimeria spp., which belong to the phylum Apicomplexa. This infection occurs in the intestinal tract of chickens, resulting in growth impairment and immune suppression, thereby causing detrimental effects on animal health and increasing mortality rates [11, 12]. Globally, the burden of coccidiosis is disproportionately higher in low- and middle-income countries, where limited access to vaccines, anticoccidial drugs, biosecurity measures, and diagnostic infrastructure exacerbates disease prevalence and economic losses compared with high-income regions that employ intensive control strategies [13].
Chicken coccidiosis is prevalent wherever poultry farming occurs. For example, commercial broiler farms in Ecuador reported 100% prevalence of Eimeria spp., with Eimeria maxima (80.4%), Eimeria acervulina (70.6%), Eimeria praecox (55.4%), Eimeria tenella (53.6%), Eimeria necatrix (52.2%), and Eimeria brunetti (30.8%) [14]. In Vojvodina, Serbia, the prevalence of E. acervulina (37%), E. maxima (17%), E. mitis (25%), and E. tenella (48%) was reported in broilers [15]. In Africa, multiple Eimeria species were detected on 63% of farms, with up to six species on a single farm, including 100% prevalence in Ghana, 94% in Tanzania, and 77% in Zambia [16].
Notably, disease prevalence and species composition vary across production systems. Intensive broiler operations, layer systems, and backyard or village poultry differ in stocking density, hygiene, litter management, and exposure risk, thereby influencing infection pressure and transmission dynamics. Studies have demonstrated distinct Eimeria occurrence across different farm types and rearing systems, with a higher risk in large-scale broiler farms than in other systems [17].
The severity of infection depends on the infecting Eimeria species [18]. Eimeria brunetti, E. maxima, E. necatrix, and E. tenella are highly pathogenic and are associated with hemorrhagic coccidiosis, resulting in high morbidity and mortality [17]. In contrast, E. acervulina exhibits moderate pathogenicity, whereas E. mitis and E. praecox are considered less pathogenic, typically causing mild infections [19, 20].
Coccidiosis is transmitted through direct or indirect contact with feces from infected birds [11]. Infection occurs when birds ingest sporulated oocysts present in contaminated feed, water, or litter [21]. Although coccidiosis can affect chickens of any age, younger birds are more susceptible due to their immature immune systems. Each Eimeria species exhibits tissue specificity within the gastrointestinal tract. For example, E. tenella primarily infects the caeca, E. brunetti the ileum and rectum, E. necatrix the jejunum and caeca, and E. maxima the duodenum, jejunum, and ileum. Additionally, E. zaria, E. nagambie, and E. lata inhabit the duodenum and ileum, whereas E. praecox, E. mitis, and E. acervulina primarily infect the duodenum and jejunum [22, 23]. The disease typically affects the intestine within approximately 5 days and the caecum within 6 days following infection [24].
Eimeria infections disrupt gut homeostasis, leading to reduced feed intake, impaired digestion, malabsorption, and decreased weight gain [25]. These pathological effects are influenced by host-related factors, such as nutritional status, gut microbiota composition, environmental stressors, and concurrent infections with bacterial or viral pathogens. These factors interact with parasite genetic diversity to determine disease severity and host susceptibility. Infections may involve single or multiple Eimeria species simultaneously [26]. Poor husbandry practices, high stocking density, low-quality litter, and high humidity further increase the risk of infection [27].
Despite advancements in management and control strategies, coccidiosis remains a major threat to poultry health and productivity. In addition to clinical and diagnostic challenges, genetic variation within Eimeria spp. plays a critical role in shaping disease dynamics. The interaction between parasite genetic diversity and host-related factors, including nutrition, microbiota, and production systems, ultimately determines disease outcomes and the success of control. Understanding these genetic variations is essential for improving diagnostic accuracy, evaluating virulence, and managing drug sensitivity, thereby bridging conventional knowledge of Eimeria spp. with emerging genomic insights to support more effective control strategies.
GENETIC MUTATIONS IN CHICKEN EIMERIA SPP .
Genetic mutations such as SNPs, CNVs, insertions/deletions, and structural variations introduce key sources of diversity among
Table 1. Summary of key genetic variations in
| Type of genetic mutation | Chromosome/locus | Gene(s) affected | Phenotypic outcome reported |
|---|---|---|---|
| SNP | Chromosome 11 | FAM96B | Gastrointestinal traits, digestive system development, potential resistance to infection [28] |
| SNP | Chromosome 11 | RRAD | Metabolic traits, body weight gain, host resilience [28] |
| SNP (genome-wide) | Multiple | Multiple (non-synonymous) | Drug resistance, antigenic variation, host–pathogen interactions [29] |
| CNV | Multiple | Unknown/intergenic | Potential impact on adaptation and genome plasticity [29] |
| Structural variations (SVs) | Multiple | Multiple | Rapid adaptation and genomic heterogeneity [29] |
| Indel | Multiple | Multiple | Modulation of coding and non-coding regions, potential effects on virulence [29] |
| ITS-1 nucleotide variation | ITS-1 region | Not applicable | Increased intra-species diversity; diagnostic challenges [30, 31] |
| Epigenetic regulation | Genome-wide | Histone-modifying genes, non-coding RNAs | Stage-specific gene expression and modulation of virulence and drug response [32] |
Beyond single-point mutations, broader genomic variations contribute to
Comparative genomic analyses highlight the complexity of variation in
Genetic variation in
Key virulence-associated proteins include surface antigens (SAGs), apical membrane antigen-1 (AMA1), microneme proteins (MICs), and rhoptry proteins . Despite sequence variability, these mutations often converge functionally to influence host cell invasion, immune evasion, and metabolic adaptation. For example, polymorphisms in AMA1 and MICs can alter invasion mechanisms, while variation in SAGs affects immune recognition, and changes in rhoptry proteins influence intracellular survival. This functional convergence provides a clearer understanding of how genetic diversity translates into phenotypic outcomes relevant to virulence, vaccine efficacy, and drug sensitivity [8].
Genetic diversity also affects host–parasite interactions, as certain chicken breeds exhibit greater tolerance to infection [28]. Variations in the ITS-1 region enable species identification through ITS-based primers; however, nucleotide polymorphisms within this region increase intra-species diversity and complicate diagnostics [30, 31, 34].
Genetic variation in chicken-infecting
A major challenge across vaccine efficacy, diagnostic reliability, and drug sensitivity is the presence of cryptic genotypes or operational taxonomic units (OTUs) within
Beyond DNA-level variation, epigenetic mechanisms such as histone modifications, chromatin remodeling, and non-coding RNAs may regulate stage-specific gene expression and phenotypic plasticity in
VIRULENCE
Genetic variation within chicken-infecting
Variants implicated in virulence include SNPs, insertions/deletions, CNVs, and larger SVs identified through chromosomal-scale assemblies [29]. Genome comparisons of
A consistent observation is the enrichment of polymorphisms in genes encoding surface antigens (SAGs), microneme proteins (MICs), and rhoptry proteins (ROPs), including apical membrane antigen-1 (AMA1) and rhoptry neck (RON) proteins. These molecules are key mediators of virulence as they regulate host cell invasion, immune recognition, and modulation of host responses, including interference with cytokine signaling and innate immune pathways [40, 41]. Functional studies have demonstrated that AMA1 and RON proteins are involved in host cell invasion, whereas rhoptry kinases and other secreted effectors regulate intracellular survival and host pathology [42]. Consequently, allelic variation at these loci can influence invasion efficiency, parasite replication, and the extent of intestinal damage, as reflected in lesion severity and overall disease outcome in experimental infections [43].
Forward genetic and experimental evolutionary studies have further demonstrated that alterations in the genetic composition of
Comparative infection studies, together with transcriptomic and proteomic profiling of high- and low-virulence isolates, have linked allelic variation, differential gene expression, and gene presence or absence to differences in tissue tropism, lesion severity, and fecundity [45]. For instance, isolate-specific variation in microneme and rhoptry repertoires, as well as surface antigen expression, has been associated with differences in invasion mechanisms and immune evasion strategies, ultimately contributing to distinct virulence phenotypes [29].
Despite these advances, many genotype–phenotype associations remain inferred from comparative genomics and omics-based analyses, with relatively few mutations functionally validated through targeted gene disruption or controlled
Genetic polymorphisms in virulence-associated genes also complicate advances in diagnostics and vaccine development. In diagnostics, primer or probe mismatches may arise in molecular assays, whereas in vaccines, antigenic divergence may reduce cross-protection among heterologous strains [33, 46]. Furthermore, rapid allele evolution under drug pressure suggests that resistance and virulence traits may emerge or shift under intensive management conditions [47]. Therefore, integrated strategies, including genomic surveillance of field populations, development of vaccines targeting conserved or multivalent antigens, and optimized anticoccidial management practices, are essential.
Understanding how genetic mutations influence
IMMUNOGENICITY
Genetic variation in
Early cross-protection studies demonstrated that immunization with a single
Variation in genes encoding glycosylphosphatidylinositol-anchored surface antigens, MICs, AMA/RON complexes, and other secreted effectors leads to changes in epitope structure and antigen abundance, influencing B-cell and T-cell recognition [54, 55]. These parasite-driven effects occur alongside host genetic diversity, where polymorphisms in major histocompatibility complex (MHC) alleles and immune-related genes regulate antigen presentation and T-cell activation, ultimately shaping strain-specific immune responses.
Comparative genomic and functional studies, including transgenic expression of AMA1 and IMP1 in
These findings indicate that both allelic variation and differences in gene expression contribute to altered immunogenicity. Such variation also influences the balance between humoral and cell-mediated immunity, particularly interferon-γ-mediated T-cell responses, which are essential for protection against intracellular stages.
Because many immunodominant vaccine targets are highly polymorphic, vaccines based on single antigens or single isolates often fail to provide broad protection [58]. This limitation has driven the development of multivalent live vaccines incorporating multiple isolates, as well as strategies that target conserved antigens or use antigen cocktails [59, 60]. However, sustained vaccine pressure may select for antigenic variants capable of immune escape, leading to shifts in allele frequencies within field populations. Additionally, sequence variation in immunogenic loci may affect the performance of molecular diagnostics and antigen-based serological assays if variable regions are targeted [61].
Overall, genetic variation in
VACCINE EFFICACY
Chicken-infecting
Table 2. Comparison of vaccines available for the control of chicken coccidiosis.
| Vaccine | Key characteristics | Advantages | Limitations and challenges |
|---|---|---|---|
| Live wild-type | Composed of mixed populations of naturally occurring | Broad antigen exposure, relatively low cost, scalable via oocyst production | Strain-specific and species-specific immunity, variable field performance due to antigenic mismatch with circulating isolates, risk of residual pathogenicity and genetic drift [33, 62, 63] |
| Live attenuated | Attenuated strains generated through serial passage or selection under defined pressures | Reduced virulence with retained immunogenicity, widely used commercially | Genetic drift, gene loss, or altered antigen expression during attenuation, inconsistent protection against heterologous field strains, updating requires redevelopment and revalidation [35, 64, 65] |
| Recombinant subunit | One or a few defined antigens, such as AMA1, MICs, and SAGs, expressed in heterologous systems | High antigenic precision, genetic stability, flexible antigen selection | Limited antigenic breadth, often strong laboratory immunogenicity but limited field validation, higher production costs and reliance on adjuvants [48, 66, 67] |
| Multiepitope | Constructs designed | Potential for broader cross-protection, adaptable to emerging strains | Predominantly experimental, limited |
| Vectored | Enhanced cellular immunity, high flexibility for antigen updates | Regulatory complexity, higher production costs, limited commercial-scale field data, mass-administration challenges [39, 67] |
The highly dynamic nature of
Due to species-specific vaccination and the development of species-specific immunity, acquired immunity in host species is sometimes strain-restricted [63]. Antigenic mismatch may occur when birds vaccinated with commercial vaccines designed from a few reference strains are exposed to antigenically divergent field isolates or OTUs, resulting in breakthrough infections even in immunized flocks [68]. Thus, strain-specific protection has limitations regarding cross-protection against heterologous species. The presence of OTUs may further limit cross-protection, as vaccine strains may not encompass the full spectrum of genetically distinct lineages circulating in different production systems.
Attenuated vaccines generated through serial passage or targeted selection of
Studies on
In light of these challenges, the development of next-generation vaccines against coccidiosis requires a deeper understanding of the genomic landscape and population structure of
Understanding the influence of genetic variation on vaccine efficacy highlights the dynamic evolutionary relationship between
DRUG SENSITIVITY
Avian coccidiosis remains a serious concern in the poultry industry worldwide, prompting the implementation of numerous control techniques, including synthetic compounds and anticoccidial supplements. However, the emergence of altered drug sensitivity and resistance due to the widespread and prolonged use of anticoccidial drugs, together with the presence of genetic variants within
The development of altered drug sensitivity in
Drug sensitivity in
Although chemical anticoccidials and ionophores negatively affect parasite metabolism and ion transport [3], some anticoccidial drugs are less effective during specific developmental stages of
Because
Furthermore, the A1852G mutation in the cytoplasmic prolyl-tRNA synthetase gene (EtcPRS) has been shown to impair halofuginone binding, thereby reducing
In addition, the enolase-2 protein of
The mechanisms underlying drug sensitivity in
Forward genetic mapping has been employed to identify genetic loci in
Drug sensitivity and resistance remain growing concerns in the control of chicken coccidiosis. In addition to the mechanisms of drug resistance mentioned above, the continuous evolution of chicken-infecting
DIAGNOSTIC MECHANISMS
The accumulation of genetic diversity within and between
Although traditional oocyst morphology and lesion scoring remain useful diagnostic techniques, they have limitations, including morphological overlap among species, mixed infections that obscure features of less abundant species, and the presence of OTUs that are morphologically indistinguishable from described species [82]. Thus, morphology-based diagnosis alone may misrepresent species composition and prevalence when genetic diversity and mixed infections are present. Comparative evaluations indicate substantial differences in diagnostic performance across methodologies, with conventional morphology-based identification generally exhibiting lower sensitivity and specificity than molecular approaches, particularly in mixed infections. PCR and qPCR assays typically demonstrate higher sensitivity and species-level specificity than morphology and serology, while qPCR further enables quantitative assessment of parasite burden [83]. However, next-generation sequencing (NGS) provides the highest resolution for detecting low-abundance species, mixed infections, and cryptic genotypes, although at increased cost and analytical complexity [84].
Furthermore, serological tests and antigen-capture enzyme-linked immunosorbent assays (ELISAs) depend on conserved immunodominant proteins. The accumulation of antigenic polymorphisms, differential expression between strains, and life-stage-specific antigens may reduce sensitivity and lead to cross-reactivity between species [46]. Although some conserved antigens, such as 3-1E and other common immunodominant proteins, could support broadly reactive assays, validation across
Most molecular assays currently used for
Diagnostic assays such as PCRs, species-specific primers or probes, and ELISAs should therefore be validated against geographically and genetically diverse species to detect primer mismatches or antigenic variation. Combining independent genetic targets, such as nuclear
CONCLUSION
Genetic variation within chicken-infecting
From a practical perspective, these findings have significant implications for poultry health management. Vaccine strategies based on limited strains or highly polymorphic antigens may provide inconsistent protection under field conditions, emphasizing the need for multivalent or conserved antigen-based approaches. Similarly, the widespread emergence of drug resistance highlights the importance of rational anticoccidial use, including rotation programs, reduced reliance on chemoprophylaxis, and integration with non-chemical alternatives such as probiotics and phytogenic compounds. Diagnostic systems must also evolve toward multiplex, genomics-informed platforms that can accurately detect diverse and mixed
A major strength of this review lies in its integrative approach, synthesizing evidence across traditionally separated domains, including virulence, immunogenicity, vaccination, drug resistance, and diagnostics. By linking genetic variation to functional and applied outcomes, this review provides a comprehensive framework for understanding the multifactorial nature of coccidiosis. Additionally, the inclusion of both molecular and applied studies enhances the translational relevance of the findings for field-level applications.
However, several limitations should be acknowledged. Much of the current understanding of genotype–phenotype relationships in
Future research should prioritize functional validation of candidate genes associated with virulence, immunogenicity, and drug resistance using targeted genetic and
In conclusion, genetic diversity within
DATA AVAILABILITY
The data generated during the study are included in the manuscript.
AUTHORS’ CONTRIBUTIONS
NMR: Writing – original draft and implementation. MAA: Supervision, conceptualization, and review and editing. Both authors have read and approved the final version of the 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
Financial support by the National Research Foundation of South Africa (Grant Numbers: PMDS230622120057 and 112768) is gratefully acknowledged.
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