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Article

Simultaneous Detection and Differentiation of Four Eimeria Species in Chickens (E. tenella, E. maxima, E. necatrix, and E. acervulina) Using a Multiplex TaqMan-MGB qPCR Assay

1
Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China
2
Agricultural and Rural Bureau, Sanming 365000, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Animals 2025, 15(19), 2792; https://doi.org/10.3390/ani15192792
Submission received: 23 August 2025 / Revised: 17 September 2025 / Accepted: 22 September 2025 / Published: 25 September 2025
(This article belongs to the Special Issue Coccidian Parasites: Epidemiology, Control and Prevention Strategies)

Simple Summary

Chicken coccidiosis, caused by Eimeria spp., is a major economic burden to the global poultry industry, yet the accurate diagnosis of mixed infections remains challenging. This study aimed to develop a highly sensitive and specific quadruplex TaqMan-MGB real-time PCR assay for the simultaneous detection of four key Eimeria species: E. acervulina, E. necatrix, E. maxima, and E. tenella. The assay demonstrates high sensitivity and specificity, with a detection limit as low as 101 to 102 DNA copies/μL. Validation with 165 suspected clinical samples from Fujian, China (2022–2024) revealed a 93.3% infection rate, higher than conventional PCR (89.7%). E. tenella (78.8%) and E. necatrix (62.4%) were most common, with mixed infections in 83.3% of cases (dual, triple, or quadruple species). This assay offers an efficient tool for early clinical diagnosis, large-scale epidemiological surveys, and targeted control strategies for coccidiosis in poultry production.

Abstract

Chicken coccidiosis is a major parasitic disease in poultry that causes substantial economic losses worldwide. The accurate and simultaneous diagnosis of mixed infections with multiple Eimeria species remains challenging using conventional methods. In this study, we developed a multiplex TaqMan-MGB qPCR assay targeting the ITS1 region for simultaneous detection and quantification of four major pathogenic species: E. acervulina, E. necatrix, E. maxima, and E. tenella. The assay exhibited high specificity without cross-reactivity and achieved a sensitivity 100-fold greater than conventional PCR, with detection limits ranging from 101 to 102 copies/μL. Standard curves demonstrated strong linearity (R2 ≥ 0.95) and amplification efficiency (95–113%). Repeatability was robust, with intra- and inter-assay CVs below 2%. Applied to 165 clinical samples collected from poultry farms in Fujian Province, China (2022–2024), the assay detected an overall Eimeria infection rate of 93.3%, higher than conventional PCR (89.7%). Epidemiological analysis revealed E. tenella (78.8%, [130/165]) and E. necatrix (78.8%, [130/165]) were dominant, while mixed infections were frequent (83.3%, [136/154]), including dual (45.5%, [70/154]), triple (31.2%, [48/154]), and quadruple (11.7%, [18/154]) infections. This multiplex TaqMan-MGB qPCR provides a rapid, sensitive, and quantitative tool for detecting multiple Eimeria species, greatly improving diagnostic efficiency and supporting clinical diagnosis, surveillance, and control strategies.

1. Introduction

Chicken coccidiosis, caused by Eimeria spp., remains one of the most economically significant parasitic diseases in the global poultry industry [1], leading to annual losses exceeding 14.5 billion USD worldwide [2,3]. Avian coccidiosis primarily affects the intestinal tract of chickens, causing diarrhea, dehydration, weight loss, lack of appetite and weakness, in severe cases, mortality [4]. It is estimated that coccidiosis is endemic in poultry farms globally, with billions of dollars spent annually on prevention and treatment, severely constraining the sustainable development of the poultry industry [5].
Currently, ten Eimeria species are recognized to infect chickens: E. acervulina, E. maxima, E. tenella, E. necatrix, E. brunetti, E. mitis, E. praecox, E. lata, E. nagambie, and E. zaria [6,7]. These parasites differ in pathogenicity and intestinal localization [8]. E. acervulina (duodenum) and E. maxima (mid-intestine) mainly cause malabsorption and subclinical losses, whereas E. tenella (caeca) and E. necatrix (mid-intestine) induce severe hemorrhagic lesions and high mortality [9,10,11]. Other species—including E. brunetti (ileum, rectum), E. mitis (ileum), and E. praecox (duodenum)—also occur; E. mitis and E. praecox are generally less pathogenic but may impair feed efficiency, especially in mixed infections. Newly described E. lata, E. nagambie, and E. zaria replicate in the duodenum and jejunum, underscoring the expanding diversity of avian coccidia [6]. Despite these differences, all species share a fecal–oral transmission route [12,13]. Among different species, Eimeria tenella, Eimeria acervulina, Eimeria maxima, and Eimeria necatrix are frequently considered to impose the greatest economic threat to chicken production worldwide, due to their combined pathogenicity, wide distribution, and substantial impact on productivity [4,9].
The prevalence of coccidiosis is ubiquitous in commercial poultry production systems. It ranks among the top three poultry diseases in the United Kingdom and is considered one of the ten most important veterinary challenges affecting resource-limited communities in South Asia [14,15]. Regional epidemiological studies have reported high infection rates: 100% in broiler farms in Algeria (commonly as mixed infections) [16], 98% in Australian commercial flocks [17], and 85.7% in Greek farms [18]. Similarly, high prevalence and complex mixed infections have been documented in backyard production systems in Argentina and Chile [3]. In major poultry-producing provinces of China, such as Shandong, Sichuan, and Hebei, the prevalence reaches 95%, with E. acervulina, E. necatrix, E. tenella, and E. maxima identified as the most prevalent species, and mixed infections being the norm under field conditions [19].
Coccidiosis exhibits a high global prevalence across diverse production systems, yet its accurate diagnosis remains challenging due to the limitations of conventional and early molecular methods. Traditional diagnosis of Eimeria species has relied on oocyst morphology, infection site, and histopathology [20], yet these methods remain laborious, time-consuming, and prone to misidentification—especially in mixed infections or among morphologically similar species [21,22]. While molecular techniques such as conventional PCR, multiplex PCR, RAPD, LAMP, SSCP and qPCR [23,24,25,26,27,28,29] have improved detection, many still lack the accuracy needed for discriminating genetically diverse or highly homologous strains in co-infections. Although conventional multiplex PCR techniques, enabled simultaneous detection of several Eimeria species [26], they frequently exhibited limitations in sensitivity, specificity, and quantitative capacity—particularly under high-template diversity or when discriminating highly homologous sequences.
TaqMan-based multiplex qPCR addresses these gaps by allowing efficient multi-target detection in a single reaction, reducing time, cost, and contamination risk [30]. The use of minor groove binder (MGB) probes further increases specificity and stability—enabling precise differentiation of closely related sequences and reliable parasite load quantification [31]. This approach is essential for accurate diagnosis of mixed infections, large-scale surveillance, and targeted control of coccidiosis.
Based on these considerations and given the high prevalence and pathogenicity of E. tenella, E. necatrix, E. maxima, and E. acervulina [4,9], this study aimed to establish a multiplex TaqMan-MGB real-time PCR assay for the simultaneous detection, quantification, and precise differentiation of these four majors pathogenic Eimeria species. The developed platform demonstrates high sensitivity, strong specificity, and reliable quantitative performance, offering crucial technical support for early clinical diagnosis, large-scale epidemiological surveillance, and targeted control of avian coccidiosis.

2. Materials and Methods

2.1. Parasite Strains and DNA Samples

Strains of Eimeria tenella, Eimeria maxima, Eimeria necatrix, and Eimeria acervulina were isolated and maintained by the Animal Diagnosis Center of Fujian Academy of Agricultural Sciences. As negative controls, DNA samples of E. brunetti and E. mitis were extracted from a commercially available bivalent live vaccine (containing attenuated strains of Eimeria brunetti PBBD and Eimeria mitis PMiBD) purchased from Foshan Zhengdian Biological Technology Co., Ltd. (Foshan, China).DNA samples from other parasites were obtained from our laboratory stock, including Histomonas meleagridis, Trichomonas gallinae, Ascaridia galli, Capillaria spp., Tetrameres spp., Syngamus trachea, Heterakis gallinarum, Raillietina spp., Hymenolepis spp., Echinostoma spp., and Leucocytozoon spp.

2.2. Clinical Samples

A total of 165 suspected Eimeria-infected samples (including 53 fecal samples and 112 intestinal specimens) were collected from clinical submissions to our veterinary diagnostic center between 2022 and 2024. These samples were submitted by either farm veterinarians or poultry farmers from commercial chicken farms across southeastern China for parasitological diagnosis. All samples were submitted with the informed consent of farm owners for diagnostic purposes. Subsequent use of the samples for research was conducted in accordance with institutional and ethical guidelines.

2.3. Genomic DNA Preparation

For fecal samples, approximately 200 mg of fresh feces was homogenized in 1 mL of sterile phosphate-buffered saline (PBS, pH 7.4) and filtered through double-layer sterile gauze to remove large debris. The filtrate was centrifuged at 3000× g for 10 min, and the pellet containing Eimeria oocysts was washed twice with PBS. For intestinal content samples, approximately 200 mg of material from the cecum, mid-intestine, or duodenum (depending on suspected site of infection) was collected and processed in the same manner. Total genomic DNA was extracted using a commercial stool DNA extraction kit (Mag-Bind® Stool DNA Kit, omega BIO-TEK, Norcross, GA, USA), All DNA samples were subsequently used as templates for the multiplex TaqMan-MGB qPCR assay.

2.4. Primers and Probes for Multiplex qPCR

The ITS-1 gene sequences of Eimeria acervulina (GenBank accession: AF446055), E. tenella (AF446074), E. maxima (AF4460560), and E. necatrix (AY571579) were retrieved from the GenBank database as target sequences for primer and probe design. Species-specific primers and TaqMan-MGB probes were designed using Primer Premier 5.0 software, ensuring intra-species conservation and inter-species specificity. The specificity of all primers and probes was validated using the BLAST tool (2.17.0, NCBI, Bethesda, MD, USA) to exclude cross-reactivity with non-target sequences. Potential secondary structure s (e.g., primer-dimers and hairpins) were analyzed and minimized using the PrimerSelect module in DNASTAR Lasergene 17.6 software (DNASTAR, Madison, WI, USA). Multiple primer-probe combinations were initially designed and experimentally screened to identify the optimal set with the highest amplification efficiency. The TaqMan-MGB probes were 5′-labeled with distinct fluorophores: FAM for E. acervulina. VIC for E. maxima, Texas Red for E. tenella, and Cy5 for E. necatrix. All probes were modified with a 3′ minor groove binder (MGB) to enhance binding specificity and increase melting temperature. The sequences of primers and probes are listed in Table 1 and were synthesized by Sangon Biotech (Shanghai, China).

2.5. Construction of Standard Plasmids

Species-specific primer pairs targeting the ITS-1 gene regions of E. acervulina, E. maxima, E. tenella, and E. necatrix (primer sequences listed in Table 2) were designed to amplify fragments containing the TaqMan-qPCR target sequences. Each PCR was performed in a 20 μL reaction mixture containing 10 μL of 2× Taq Master Mix (Dye Plus) (Vazyme Biotech Co., Ltd., Nanjing, China), 2 μL of DNA template, 1 μL of each primer (10 μM), and 6 μL of nuclease-free water (ddH2O). The cycling conditions were as follows: initial denaturation at 95 °C for 3 min, followed by 35 cycles of 95 °C for 15 s, 58 °C for 15 s, and 72 °C for 30 s, with a final extension at 72 °C for 5 min.
The PCR products were purified and ligated into the pMD18-T vector (Takara Bio Inc., Shiga, Japan) to generate the recombinant plasmids p-acer, p-maxi, p-ten, and p-nec. The correctness of the recombinant constructs was confirmed by Sanger sequencing. Plasmid concentration and purity were determined using a DS-11 spectrophotometer (DeNovix Inc., Wilmington, DE, USA). The copy number of each recombinant plasmid was calculated using the following formula: Copies/μL = (6.02 × 1023) × (X ng/μL × 10−9)/(plasmid length (bp) × 660), where X represents the plasmid concentration in ng/μL.

2.6. Establishment of the Multiplex TaqMan qPCR Reaction System

A matrix approach was employed to determine the optimal concentrations of primers and probes. Both primer and probe concentrations were optimized separately to achieve the best reaction conditions. Primers and probes were diluted to final concentrations ranging from 0.1 to 0.6 μmol/mL and subjected to gradient amplification. Reaction conditions for real-time TaqMan qPCR were optimized by testing different system compositions and various combinations of primer and probe concentrations, as well as annealing temperatures. The optimal reaction system, primer and probe concentrations, and annealing temperature were then selected to establish the multiplex TaqMan qPCR assay.

2.7. Standard Curve Creation

The recombinant plasmid standards p-acer, p-max, p-ten, and p-nec were serially diluted 10-fold (from 108 to 104 copies/μL). Each dilution was tested in triplicate using the TaqMan qPCR assay. The mean quantification cycle (Cq) value from these three technical replicates was then used to generate the standard curve and the corresponding linear regression equation for each Eimeria species. The logarithm of the initial template copy number was plotted on the x-axis, and the corresponding Cq values were plotted on the y-axis to generate regression curves. Standard curves were separately constructed for E. acervulina, E. maxima, E. tenella, and E. necatrix, establishing the quantitative relationship between plasmid copy number and Cq value for each target species.

2.8. Sensitivity, Specificity, and Reproducibility Evaluations

To assess assay specificity, DNA from other parasites, including: Eimeria brunetti, Eimeria mitis, Histomonas meleagridis, Trichomonas gallinae, Ascaridia galli, Capillaria spp., Tetrameres spp., Syngamus trachea, Heterakis gallinarum, Raillietina spp., Hymenolepis spp., Echinostoma spp., and Leucocytozoon spp. were used as templates. Fecal samples from healthy chickens confirmed negativity for Eimeria spp. by microscopy and PCR and were used as negative controls. Specificity was evaluated by performing the multiplex TaqMan-MGB qPCR assay with these samples.
To further assess the sensitivity of the assay, the constructed plasmid standards p-acer, p-max, p-ten, and p-nec were subjected to 10-fold serial dilutions until no amplification signal was detected by the real-time PCR system. The lowest detectable genomic copy number for each target was thereby determined, representing the assay’s limit of detection (LOD). The sensitivity of the developed TaqMan qPCR assay for each Eimeria species was compared with that of conventional PCR, the standard molecular method for Eimeria detection, to validate its improved sensitivity and specificity.
In addition, the established TaqMan qPCR assay was further evaluated for repeatability by performing three independent runs on different days using the four positive quality control plasmids as templates. Intra-assay and inter-assay variations were calculated based on the Cq values, and the coefficient of variation (CV) was calculated using the formula: CV (%) = (Standard deviation (SD)/Mean (X)) × 100 to evaluate the assay’s reproducibility and stability.

2.9. Evaluation of Clinical Samples by Quadruplex TaqMan Real-Time PCR and Conventional PCR

The established quadruplex TaqMan real-time PCR assay was applied to detect 165 clinical samples (including feces and intestinal tissues) suspected of Eimeria infection, which were submitted from various poultry farms in Fujian Province, China, between 2022 and 2024. In parallel, all samples were also tested using a conventional PCR assay, and the concordance rate between the two methods was calculated.

2.10. Data and Statistical Analysis

qPCR Data Processing: Raw Cq values were determined using automatic baseline settings and a manually set threshold within the qPCR instrument software (LightCycler® 96, Roche, Basel, Switzerland). All samples and standard curves were run in triplicate, and mean Cq values were used for subsequent analysis.
Standard Curve and Efficiency: Standard curves were generated for each target by plotting the mean Cq value against the logarithm of the known template copy number. Amplification efficiency (E) for each assay was calculated automatically by the instrument’s built-in software based on the slope of the standard curve.
Specificity and Sensitivity: Analytical specificity was determined by testing against a panel of non-target parasites. The limit of detection (LOD) was defined as the lowest copy number per reaction detectable in ≥95% of replicates.
Reproducibility: Intra-assay variability was assessed from the standard deviation of Cq values across triplicate wells within a single run. Inter-assay variability was determined from replicates across three independent runs. Both are expressed as coefficients of variation (CV, %).
Clinical Sample Analysis: A sample was considered positive if amplification occurred at a Cq value < 40. Prevalence and co-infection rates were calculated as percentages with 95% confidence intervals where appropriate.

3. Results

3.1. Establishment and Optimization of the Multiplex Real-Time TaqMan-MGB PCR Assay

Following systematic optimization, the final multiplex TaqMan-MGB real-time PCR assay was established in a total reaction volume of 20 μL, containing 10 μL of 2× All-Powerful qPCR PreMix (Vazyme Biotech, Nanjing, China), 0.4 μL each of forward and reverse primers (final concentration: 0.2 μM for each primer), 0.2 μL each of the corresponding TaqMan-MGB probes (final concentration: 0.1 μM for each probe), and 2 μL of mixed template DNA, with nuclease-free water added to reach the final volume. The optimized thermal cycling conditions were as follows: uracil-N-glycosylase digestion at 53 °C for 10 min, initial denaturation at 95 °C for 30 s, followed by 45 cycles of denaturation at 95 °C for 10 s and annealing/extension at 60 °C for 20 s. These optimized conditions enabled efficient amplification and high specificity for the simultaneous detection of the four Eimeria species in chickens.

3.2. Standard Curve Preparation and Evaluation

The constructed standard plasmid solutions were serially diluted tenfold (108–104 copies/μL) with DNase/RNase-free water and used as templates for the multiplex TaqMan-MGB real-time PCR assay. A standard curve was generated by plotting the logarithm of the initial plasmid genome copy number (x-axis) against the Cq values (y-axis) (Figure 1). The linear regression equations and performance parameters were as follows: E. acervulina: y = −3.09x + 34.11, amplification efficiency 110%, R2 = 0.988; E. maxima: y = −3.259x + 40.13, amplification efficiency 102%, R2 = 0.9987; E. necatrix: y = −3.45x + 36.58, amplification efficiency 95%, R2 = 1.000; and E. tenella: y = −3.02x + 38.92, amplification efficiency 113%, R2 = 0.9978. These results indicate that the established multiplex real-time PCR system exhibits excellent linear correlation and optimal detection performance across different concentrations of target nucleic acids, and the initial gene copy number of Eimeria nucleic acids in test samples can be calculated by substituting the corresponding Cq values into the regression equations.

3.3. Specificity Evaluation

To evaluate the specificity of the multiplex TaqMan-MGB qPCR assay and assess potential cross-reactivity, DNA from E. brunetti, E. mitis, E. praecox and other common chicken parasites (Histomonas meleagridis, Trichomonas gallinae, Ascaridia galli, Capillaria spp., Tetrameres spp., Syngamus trachea, Heterakis gallinarum, Raillietina spp., Hymenolepis spp., Echinostoma spp., and Leucocytozoon spp.) was tested. Plasmids containing target sequences for E. acervulina, E. maxima, E. tenella, and E. necatrix served as positive controls, and fecal samples from healthy chickens were used as negative controls. Fluorescence signals were detected exclusively in the corresponding channels (E. acervulina in FAM, E. maxima in VIC, E. tenella in Texas Red, E. necatrix in Cy5), with no amplification from the other 15 parasite species or negative controls (Figure 2), confirming the assay’s high specificity and absence of cross-reactivity for the four target Eimeria species.

3.4. Sensitivity Evaluation

To determine the sensitivity of the developed multiplex TaqMan-MGB real-time PCR assay, standard plasmids p-acer, p-max, p-ten, and p-nec were subjected to 10-fold serial dilutions ranging from 109 to 100 copies/μL and used as templates for detection. Conventional PCR was performed in parallel for comparison. The multiplex TaqMan-MGB qPCR assay achieved detection limits of 102 copies/μL for p-acer (E. acervulina), compared to 104 copies/μL by conventional PCR; 101 copies/μL for p-max (E. maxima), compared to 105 copies/μL by conventional PCR; 102 copies/μL for p-ten (E. tenella), compared to 105 copies/μL by conventional PCR; and 101 copies/μL for p-nec (E. necatrix), compared to 104 copies/μL by conventional PCR (Figure 3). These results demonstrate that the sensitivity of the multiplex TaqMan-MGB qPCR assay is markedly higher than that of conventional PCR for all four target Eimeria species.
According to the established interpretation criteria, samples with Cq values < 40 and exhibiting a typical S-shaped amplification curve were considered positive. Samples with Cq values > 40 or without detectable Cq values and lacking a characteristic amplification curve were considered negative.

3.5. Reproducibility of the Multiplex TaqMan-MGB qPCR Assay

To assess the reproducibility of the multiplex TaqMan-MGB real-time PCR assay, standard plasmids p-acer, p-max, p-ten, and p-nec were tested at three different dilution levels (107 to 105 copies/μL) to determine intra-assay and inter-assay variability. The coefficient of variation (CV) of Cq values was calculated for each replicate to evaluate assay repeatability. As shown in Table 3, the intra-assay CVs for p-acer, p-max, p-ten, and p-nec ranged from 0.76% to 1.86%, while inter-assay CVs ranged from 0.91% to 1.88%. All CV values were below 2%, indicating that the developed multiplex qPCR assay demonstrated excellent reproducibility and stability across different template concentrations.

3.6. Detection of Clinical Samples

Using the multiplex TaqMan-MGB qPCR assay developed in this study, a total of 165 suspected Eimeria-infected samples, comprising 53 fecal samples and 112 intestinal specimens, were collected from clinical submissions to our veterinary diagnostic center between 2022 and 2024 and tested in parallel with conventional PCR for comparison. The overall detection rate of the multiplex TaqMan-MGB qPCR assay for the four target Eimeria species was 93.3% (154/165), which was higher than that of conventional PCR (89.7%, [148/165]). The detection rates for each species were also higher than those obtained by the traditional method: Eimeria tenella (78.8% [130/165] vs. 74.5% [123/165]), Eimeria necatrix (62.4% [103/165] vs. 59.4% [98/165]), Eimeria acervuline (49.1% [81/165] vs. 46.1% [76/165]), and Eimeria maxima (36.4% [60/165] vs. 34.5% [57/165]) (Figure 4A). Among the four species, E. tenella exhibited the highest prevalence (78.8% [130/165]), followed by E. necatrix (62.4% [103/165]), while E. maxima had the lowest prevalence (36.4% [60/165]). Mixed infections were highly prevalent, with an overall co-infection rate of 83.3% (136/154) among the positive samples. Double infections accounted for 45.5% (70/154) of positives, with E. acervulina + E. tenella and E. tenella + E. necatrix being the most frequent combinations. Triple infections represented 31.2% (48/154) of positives, most commonly E. acervulina + E. tenella + E. necatrix. Quadruple infections were detected in 11.7% (18/154) of positive cases. The results demonstrate that the multiplex TaqMan-MGB qPCR assay exhibits superior sensitivity compared to conventional PCR while reliably identifying mixed infections and simultaneously detecting four Eimeria species in a single reaction, significantly enhancing both clinical diagnostic efficiency and large-scale epidemiological surveillance capabilities.

4. Discussion

Coccidiosis remains one of the most economically devastating parasitic diseases in the poultry industry, causing reduced feed conversion, stunted growth, morbidity, and high mortality in severe cases [32]. The complex life cycle of Eimeria spp. involves both asexual and sexual stages in intestinal epithelial cells, leading to significant tissue damage [33]. Infections occur through ingestion of sporulated oocysts from contaminated feed, water, or the environment, with the resistant oocyst wall enabling survival for months [34]. Once ingested, sporozoites invade epithelial cells and undergo schizogony, gametogony, and oocyst formation, perpetuating the infection cycle [35]. A single oocyst can yield up to 800,000 progenies, rapidly contaminating the environment and complicating prevention [11].
Epidemiological studies confirm that mixed-species and subclinical infections are widespread globally and represent a dominant pattern in poultry production [36]. Surveys in Guangdong, Hubei, Anhui, and Jiangsu reported mixed infection rates of 65–100%, mainly involving E. acervulina, E. tenella, E. maxima, and E. necatrix [37,38,39]. Similar prevalence has been recorded in Australia, Korea, and Colombia (54.3–100%), with up to 5–7 species detected [17,40,41]. Such co-infections may exacerbate disease severity through synergistic interactions [10], underscoring the importance of early and accurate diagnosis.
Although single plex qPCR and some multiplex PCR assays for individual Eimeria species have been reported, multiplex systems capable of detecting several species in a single reaction are rare [26,42]. TaqMan-based multiplex qPCR offers clear advantages, including simultaneous detection of multiple targets, reduced time and cost, lower contamination risk, and quantitative capability. Quantification of parasite loads is especially valuable for evaluating mixed infections and guiding control strategies.
The ITS1 region of ribosomal DNA is an ideal molecular target due to inter-species variability and intra-species conservation [43]. It has been used in detecting Toxoplasma gondii, Cryptosporidium spp., and multiple Eimeria species [26,44]. Its multi-copy nature also enhances detection sensitivity [45]. In this study, species-specific primers and TaqMan-MGB probes targeting ITS1 were designed, with four fluorophores and non-fluorescent quenchers reducing background signals and improving specificity. No cross-reactivity with other intestinal parasites was observed, confirming high analytical specificity.
Subclinical infections, though lacking clinical signs, can reduce performance and egg production [46,47]. Fadunsin et al. reported higher subclinical infection rates in chicks (52.7%) than in adult birds (21.1%), which are often missed by conventional diagnostics [48]. Our assay achieved detection limits of 101–102 copies/μL, over 100-fold more sensitive than conventional PCR, with intra- and inter-assay CVs < 2%. This enables reliable detection of asymptomatic carriers and strengthens surveillance. Although a sporulated oocyst theoretically provides eight genomic copies, field sensitivity may be affected by sample collection and DNA extraction losses.
Field application revealed a 93.3% prevalence of Eimeria in Fujian Province, with E. tenella (78.8%) and E. necatrix (62.4%) being dominant. Mixed infections (83.3%) were common, including dual (45.5%), triple (31.2%), and quadruple (11.7%) infections. The frequent E. tenella + E. necatrix and E. acervulina + E. tenella + E. necatrix combinations align with previous reports, likely due to oocyst resilience, incomplete disinfection, non-overlapping intestinal sites, and synergistic pathogenic effects [42,43]. Such co-infections can exacerbate intestinal damage, delay recovery, and impair drug or vaccine efficacy.
The subtropical climate of Fujian, with high temperature and humidity, may further facilitate oocyst sporulation and persistence, increasing infection risk through contaminated feed, water, and litter [4,20]. Thus, molecular surveillance combined with strengthened farm management is essential to control co-infections.
This study established a multiplex TaqMan-MGB qPCR assay targeting ITS1 that enables sensitive, specific, and simultaneous detection of four major Eimeria species. Compared with conventional diagnostics, it significantly improves accuracy, particularly for mixed and subclinical infections, and provides a reliable tool for early diagnosis and large-scale epidemiological surveillance, supporting more effective coccidiosis control strategies in poultry production.

5. Conclusions

In this study, we developed and validated a multiplex TaqMan-MGB real-time qPCR assay targeting the ITS1 region for the simultaneous detection and quantification of four major Eimeria species in chickens—E. acervulina, E. maxima, E. necatrix, and E. tenella. The assay demonstrated high analytical sensitivity (101–102 copies/μL), excellent specificity with no cross-reactivity, and strong reproducibility (CV < 2%). Field application revealed higher detection rates than conventional PCR and confirmed the predominance of mixed-species infections, underscoring the complex epidemiology of coccidiosis in poultry farms. This multiplex assay provides a rapid, accurate, and efficient diagnostic platform for clinical diagnosis and epidemiological surveillance. Future studies should extend its application to additional Eimeria species, validate its performance across diverse regions, and explore its role in monitoring anticoccidial drug efficacy and vaccine evaluation.

Author Contributions

Conceptualization, B.J. and M.Z.; Investigation, L.L., X.-L.C., S.-H.W., X.C. and W.Y.; Methodology, L.L., X.-L.C., S.-H.W., X.C. and W.Y.; Software, L.L., X.-L.C., S.-H.W., X.C. and W.Y.; Validation, B.J. and M.Z.; Writing—original draft, L.L., X.-L.C., S.-H.W., X.C. and W.Y.; Writing—review and editing, B.J. and M.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Fujian Public Welfare Project [Grant Nos. 2023R1078 and 2025R1068].

Institutional Review Board Statement

The Ethics Committee of the Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, confirmed that this study did not require ethical review or approval, as no live animal experiments or artificial infections were conducted.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be addressed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Fatoba, A.J.; Adeleke, M.A. Transgenic Eimeria Parasite: A Potential Control Strategy for Chicken Coccidiosis. Acta Trop. 2020, 205, 105417. [Google Scholar] [CrossRef]
  2. Kadykalo, S.V.; Roberts, T.; Thompson, M.; Wilson, J.; Lang, M.; Espeisse, O.; Jenkins, M. The Value of Anticoccidials for Sustainable Global Poultry Production. Int. J. Antimicrob. Agents 2018, 51, 304–310. [Google Scholar] [CrossRef]
  3. Tomazic, M.L.; Florentin, G.; Vera, R.; Pinedo, M.E.; Gómez-Osorio, L.M. Chicken Coccidiosis in Peri-Urban Family Far-ming in Two South American Countries: Prevalence and Circulating Eimeria spp. Animals 2025, 15, 982. [Google Scholar] [CrossRef]
  4. Badri, M.; Olfatifar, M.; Hayati, A.; Bijani, B.; Samimi, R.; Abdoli, A.; Nowak, O.; Diaz, D.; Eslahi, A.V. The global prevalence and associated risk factors of Eimeria infection in domestic chickens: A systematic review and meta-analysis. Vet. Med. Sci. 2024, 10, e1469. [Google Scholar] [CrossRef] [PubMed]
  5. Blake, D.P.; Knox, J.; Dehaeck, B.; Huntington, B.; Rathinam, T.; Ravipati, V.; Ayoade, S.; Gilbert, W.; Adebambo, A.O.; Jatau, I.D.; et al. Re-Calculating the Cost of Coccidiosis in Chickens. Vet. Res. 2020, 51, 115. [Google Scholar] [CrossRef]
  6. Blake, D.P.; Vrba, V.; Xia, D.; Jatau, I.D.; Spiro, S.; Nolan, M.J.; Underwood, G.; Tomley, F.M. Genetic and Biological Characterisation of Three Cryptic Eimeria Operational Taxonomic Units That Infect Chickens (Gallus gallus domesticus). Int. J. Parasitol. 2021, 51, 621–634. [Google Scholar] [CrossRef]
  7. Kucukkara, Z.; Ozkan, I.A.; Tasdemir, S.; Ceylan, O. Classification of chicken Eimeria species through deep transfer learning models: A comparative study on model efficacy. Vet. Parasitol. 2025, 334, 110400. [Google Scholar] [CrossRef] [PubMed]
  8. Zhu, H.; Zhang, Q.; Wang, D.; Zheng, G.; Wang, S.; Han, Y.; Xu, Y.; He, H. Differential Expression of Toll-like Receptors and Associated Cytokines in the Bursa of Eimeria tenella-Infected Chickens. Res. Vet. Sci. 2025, 188, 105607. [Google Scholar] [CrossRef]
  9. Thenmozhi, V.; Veerakumari, L.; Raman, M. Preliminary Genetic Diversity Study on Different Isolates of Eimeria tenella from South India. Int. J. Adv. Vet. Sci. Technol. 2014, 3, 114–118. [Google Scholar] [CrossRef]
  10. Blake, D.P.; Clark, E.L.; Macdonald, S.E.; Thenmozhi, V.; Kundu, K.; Garg, R.; Jatau, I.D.; Ayoade, S.; Kawahara, F.; Moftah, A.; et al. Population, Genetic, and Antigenic Diversity of the Apicomplexan Eimeria tenella and Their Relevance to Vaccine Development. Proc. Natl. Acad. Sci. USA 2015, 112, E5343–E5350. [Google Scholar] [CrossRef] [PubMed]
  11. Xu, L.; Xiang, Q.; Li, M.; Sun, X.; Lu, M.; Yan, R.; Song, X.; Li, X. Pathogenic Effects of Single or Mixed Infections of Eimeria mitis, Eimeria necatrix, and Eimeria tenella in Chickens. Vet. Sci. 2022, 9, 657. [Google Scholar] [CrossRef] [PubMed]
  12. Zaheer, T.; Zahid, R.; Imran, M.; Abbas, A.; Butt, A.; Aslam, S.; Ahmad, J. Vaccines against Chicken Coccidiosis with Particular Reference to Previous Decade: Progress, Challenges, and Opportunities. Parasitol. Res. 2022, 121, 2749–2763. [Google Scholar] [CrossRef]
  13. Liana, Y.A.; Swai, M.C. Mathematical Modeling of Coccidiosis Dynamics in Chickens with Some Control Strategies. Abstr. Appl. Anal. 2024, 2024, 1072681. [Google Scholar] [CrossRef]
  14. Gao, Y.; Zhang, X.; Wang, L.; Li, H.; Chen, J.; Liu, Q. Advancements in Understanding Chicken Coccidiosis: From Eimeria Biology to Innovative Control Strategies. Anim. Dis. 2024, 2, 39. [Google Scholar] [CrossRef]
  15. Kassaw, S.; Abdela, S.; Berihun, A.M. Investigation of Eimeria Species in Chicken: Coprological Prevalence, Gross Pathological Lesion and Pathoanatomical Species Identification in South Gondar Zone, Ethiopia. Acta Parasitol. 2025, 70, 70. [Google Scholar] [CrossRef] [PubMed]
  16. Amina, K.; Sadek, M.; Mustapha, O.; Moussadak, T. Prevalence of Coccidiosis in Broiler Chickens in Medea, Algeria. Comp. Immunol. Microbiol. Infect. Dis. 2025, 118, 102323. [Google Scholar] [CrossRef]
  17. Godwin, R.M.; Morgan, J.A.T. A Molecular Survey of Eimeria in Chickens across Australia. Vet. Parasitol. 2015, 214, 16–21. [Google Scholar] [CrossRef]
  18. Andreopoulou, M.; Chaligiannis, I.; Sotiraki, S.; Vasileiou, N.G.C.; Papadopoulos, E. Prevalence and Molecular Detection of Eimeria Species in Different Types of Poultry in Greece and Associated Risk Factors. Parasitol. Res. 2022, 121, 2051–2063. [Google Scholar] [CrossRef]
  19. Liao, S.; Lin, X.; Zhou, Q.; Wang, Z.; Yan, Z.; Wang, D.; Su, G.; Li, J.; Lv, M.; Hu, J.; et al. Epidemiological Investigation of Coccidiosis and Associated Risk Factors in Broiler Chickens Immunized with Live Anticoccidials in China. Front. Vet. Sci. 2024, 11, 1375026. [Google Scholar] [CrossRef]
  20. Joseph, A.; Adekunle, M. Diagnosis and Control of Chicken Coccidiosis: A Recent Update. J. Parasitol. Dis. 2018, 42, 483–493. [Google Scholar] [CrossRef]
  21. Kumar, S.; Garg, R.; Moftah, A.; Clark, E.L.; Macdonald, S.E.; Chaudhry, A.S.; Sparagano, O.; Banerjee, P.S.; Kundu, K.; Tomley, F.M.; et al. An Optimised Protocol for Molecular Identification of Eimeria from Chickens. Vet. Parasitol. 2014, 199, 24–31. [Google Scholar] [CrossRef]
  22. Singla, L.D.; Gupta, S.K. Advances in Diagnosis of Coccidiosis in Poultry. In Veterinary Diagnostics: Current Trends; Gupta, R.P., Garg, S.R., Nehra, V., Lather, D., Eds.; Satish Serial Publishing House: Delhi, India, 2012; pp. 615–628. [Google Scholar]
  23. Hamidinejat, H.; Shapouri, M.S.; Mayahi, M.; Borujeni, M.P. Characterization of Eimeria Species in Commercial Broilers by PCR Based on ITS1 Regions of rDNA. Iran. J. Parasitol. 2010, 5, 48. [Google Scholar]
  24. Haug, A.; Gjevre, A.G.; Thebo, P.; Mattsson, J.G.; Kaldhusdal, M. Coccidial Infections in Commercial Broilers: Epidemiological Aspects and Comparison of Eimeria Species Identification by Morphometric and Polymerase Chain Reaction Techniques. Avian Pathol. 2008, 37, 161–170. [Google Scholar] [CrossRef]
  25. Fernandez, S.; Costa, A.C.; Katsuyama, A.M.; Madeira, A.M.B.N.; Gruber, A. A Survey of the Inter- and Intraspecific RAPD Markers of Eimeria spp. of the Domestic Fowl and the Development of Reliable Diagnostic Tools. Parasitol. Res. 2003, 89, 437–445. [Google Scholar] [CrossRef] [PubMed]
  26. Fernández, S.; Pagotto, A.H.; Furtado, M.M.; Katsuyama, A.M.; Madeira, A.M.B.N.; Gruber, A. A multiplex PCR assay for the simultaneous detection and discrimination of the seven Eimeria species that infect domestic fowl. Parasitology 2003, 127, 317–325. [Google Scholar] [CrossRef] [PubMed]
  27. Kundu, K.; Kumar, S.; Sarathi, P.; Garg, R. Quantification of Eimeria necatrix, E. acervulina and E. maxima Genomes in Commercial Chicken Farms by Quantitative Real-Time PCR. J. Parasitol. Dis. 2020, 44, 374–380. [Google Scholar] [CrossRef] [PubMed]
  28. Barkway, C.P.; Pocock, R.L.; Vrba, V.; Blake, D.P. Loop-Mediated Isothermal Amplification (LAMP) Assays for the Species-Specific Detection of Eimeria That Infect Chickens. BMC Vet. Res. 2011, 7, 67. [Google Scholar] [CrossRef]
  29. Woods, W.G.; Richards, G.; Whithear, K.G.; Anderson, G.R.; Jorgensen, W.K.; Gasser, R.B. High-Resolution Electrophoretic Procedures for the Identification of Five Eimeria Species from Chickens, and Detection of Population Variation. Electrophoresis 2000, 21, 3558–3563. [Google Scholar] [CrossRef]
  30. Wang, H.; Sun, Y.; Chen, J.; Wang, W.; Yu, H.; Gao, C.; An, T.; Wang, Y.; Chen, H.; Zhu, L.; et al. Development and Application of a Quadruplex TaqMan Real-Time Fluorescence Quantitative PCR Assay for Four Porcine Digestive Pathogens. Front. Cell. Infect. Microbiol. 2024, 14, 1468783. [Google Scholar] [CrossRef]
  31. Xue, B.; Li, Y.; Wang, X.; Li, R.; Zeng, X.; Yang, M.; Xu, X.; Ye, T.; Bao, L.; Huang, Y.; et al. TaqMan-MGB Probe Quantitative PCR Assays to Genotype the Three Primary LHON mtDNA Mutations. Sci. Rep. 2020, 10, 12241. [Google Scholar] [CrossRef]
  32. Khalifa, M.M.; Abushahba, M.F.N.; El-Saber Batiha, G.; El-Deeb, M.S. Smart Application of Silver Nanoparticles in the Treatment of Chicken Coccidiosis in Combination with Special Supplement to Alleviate Its Toxicity. Vet. Parasitol. 2025, 336, 110440. [Google Scholar] [CrossRef]
  33. Mesa-Pineda, C.; Navarro-Ruíz, L.; López-Osorio, S.; Chaparro-Gutiérrez, J.J.; Gómez-Osorio, L.M. Chicken Coccidiosis: From the Parasite Lifecycle to Control of the Disease. Front. Vet. Sci. 2021, 8, 787653. [Google Scholar] [CrossRef]
  34. El-Shall, N.A.; Abd El-Hack, M.E.; Albaqami, N.M.; Khafaga, A.F.; Taha, A.E.; Swelum, A.A.; El-Saadony, M.T.; Salem, H.M.; El-Tahan, A.M.; AbuQamar, S.F.; et al. Phytochemical Control of Poultry Coccidiosis: A Review. Poult. Sci. 2022, 101, 101542. [Google Scholar] [CrossRef] [PubMed]
  35. Britez, J.D.; Rodriguez, A.E.; Di Ciaccio, L.; Marugán-Hernandez, V.; Tomazic, M.L. What Do We Know about Surface Proteins of Chicken Parasites Eimeria? Life 2023, 13, 1295. [Google Scholar] [CrossRef] [PubMed]
  36. Sultan, R.; Aslam, A.; Tipu, M.Y.; Rehman, H.U.; Anjum, A.; Krull, W.; Kumosani, T.; Shaib, H.; Barbour, E.K. Appraisal of a New Patented Method for Control of Chicken Coccidiosis. J. Appl. Anim. Res. 2019, 47, 573–581. [Google Scholar] [CrossRef]
  37. Geng, T.; Ye, C.; Lei, Z.; Shen, B.; Fang, R.; Hu, M.; Zhao, J.; Zhou, Y. Prevalence of Eimeria Parasites in the Hubei and Henan Provinces of China. Parasitol. Res. 2021, 120, 655–663. [Google Scholar] [CrossRef] [PubMed]
  38. Liao, S.; Lin, X.; Zhou, Q.; Yan, Z.; Wu, C.; Li, J.; Lv, M.; Hu, J.; Cai, H.; Song, Y. Prevalence and Geographic Distribution of Eimeria Species on Commercial Broiler Farms in Guangdong, China. BMC Vet. Res. 2024, 20, 171. [Google Scholar] [CrossRef]
  39. Huang, Y.; Ruan, X.; Li, L.; Zeng, M. Prevalence of Eimeria Species in Domestic Chickens in Anhui Province, China. J. Parasitol. Dis. 2017, 41, 1014–1019. [Google Scholar] [CrossRef]
  40. Flores, R.A.; Nguyen, B.T.; Cammayo, P.T.; Kim, S.; Kim, J.; Lillehoj, H.S. Epidemiological Investigation and Drug Resistance of Eimeria Species in Korean Chicken Farms. BMC Vet. Res. 2022, 18, 277. [Google Scholar] [CrossRef]
  41. Mesa, C.; Gómez-Osorio, L.M.; López-Osorio, S. Survey of Coccidia on Commercial Broiler Farms in Colombia: Frequency of Eimeria Species, Anticoccidial Sensitivity, and Histopathology. Poult. Sci. 2021, 100, 101239. [Google Scholar] [CrossRef]
  42. Blake, D.P.; Qin, Z.; Cai, J.; Smith, A.L.; Murray, G. Development and Validation of Real-Time Polymerase Chain Reaction Assays Specific to Four Species of Eimeria. Avian Pathol. 2008, 37, 89–94. [Google Scholar] [CrossRef] [PubMed]
  43. Subramanian, M.; Venkatesan, L.; Aadimoolam, R.; Tirunelveli, H.; Sriraman, R. Sequence Diversity of Internal Transcribed Spacer-1 (ITS-1) Region of Eimeria Infecting Chicken and Its Relevance in Species Identification from Indian Field Samples. Parasitol. Res. 2010, 106, 513–521. [Google Scholar] [CrossRef]
  44. Morgan, J.A.T.; Morris, G.M.; Wlodek, B.M.; Byrnes, R.; Jenner, M.; Constantinoiu, C.C.; Anderson, G.R. Real-Time Polymerase Chain Reaction (PCR) Assays for the Specific Detection and Quantification of Seven Eimeria Species That Cause Coccidiosis in Chickens. Mol. Cell. Probes 2009, 23, 83–89. [Google Scholar] [CrossRef] [PubMed]
  45. Oliveira, U.C.; Fraga, J.S.; Licois, D.; Pakandl, M.; Gruber, A. Development of Molecular Assays for the Identification of the 11 Eimeria Species of the Domestic Rabbit (Oryctolagus cuniculus). Vet. Parasitol. 2011, 176, 275–280. [Google Scholar] [CrossRef]
  46. Muñoz-Gómez, V.; Furrer, R.; Yin, J.; Shaw, A.P.M.; Rasmussen, P.; Torgerson, P.R. Prediction of Coccidiosis Prevalence in Extensive Backyard Chickens in Countries and Regions of the Horn of Africa. Vet. Parasitol. 2024, 327, 110143. [Google Scholar] [CrossRef]
  47. Blake, D.P. Eimeria of chickens: The changing face of an old foe. Avian Pathol. 2025, 54, 267–278. [Google Scholar] [CrossRef]
  48. Ola-Fadunsin, S.D. Investigations on the Occurrence and Associated Risk Factors of Avian Coccidiosis in Osun State, Nigeria. J. Parasitol. Res. 2017, 2017, 9264191. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The amplification curves and standard curves of the TaqMan-MGB qPCR assay. The concentrations ranging from 108 to 104 copies/µL. (A1,A2), (B1,B2), (C1,C2) and (D1,D2) are the amplification and Standard curves of the standard plasmids of p-acer, p-max, p-ten, and p-nec, respectively.
Figure 1. The amplification curves and standard curves of the TaqMan-MGB qPCR assay. The concentrations ranging from 108 to 104 copies/µL. (A1,A2), (B1,B2), (C1,C2) and (D1,D2) are the amplification and Standard curves of the standard plasmids of p-acer, p-max, p-ten, and p-nec, respectively.
Animals 15 02792 g001
Figure 2. The specificity of the multiplex TaqMan-MGB qPCR assay. Amplification plots are shown for (A) E. acervulina (FAM channel), (B) E. maxima (VIC channel), (C) E. necatrix (Cy5 channel), (D) E. tenella (Texas Red channel). N means controls used in this study, including E. brunetti, E. mitis, Histomonas meleagridis, Trichomonas gallinae, Ascaridia galli, Capillaria spp., Tetrameres spp., Syngamus trachea, Heterakis gallinarum, Raillietina spp., Hymenolepis spp., Echinostoma spp., and Leucocytozoon spp. No positive signals were detected in the controls.
Figure 2. The specificity of the multiplex TaqMan-MGB qPCR assay. Amplification plots are shown for (A) E. acervulina (FAM channel), (B) E. maxima (VIC channel), (C) E. necatrix (Cy5 channel), (D) E. tenella (Texas Red channel). N means controls used in this study, including E. brunetti, E. mitis, Histomonas meleagridis, Trichomonas gallinae, Ascaridia galli, Capillaria spp., Tetrameres spp., Syngamus trachea, Heterakis gallinarum, Raillietina spp., Hymenolepis spp., Echinostoma spp., and Leucocytozoon spp. No positive signals were detected in the controls.
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Figure 3. Sensitivity comparison between multiplex TaqMan-MGB qPCR and conventional PCR for detecting Eimeria acervulina (A1,A2), Eimeria maxima (B1,B2), Eimeria tenella (C1,C2), and Eimeria necatrix (D1,D2). Panels (A1D1) show real-time fluorescence amplification curves generated from 10-fold serial dilutions (109 to 100 copies/μL) of standard plasmids in the FAM (A1), VIC (B1), Texas Red (C1), and Cy5 (D1) channels, respectively. Panels (A2D2) show corresponding agarose gel electrophoresis results of conventional PCR products from the same dilution series. M: DNA marker; NC: negative control.
Figure 3. Sensitivity comparison between multiplex TaqMan-MGB qPCR and conventional PCR for detecting Eimeria acervulina (A1,A2), Eimeria maxima (B1,B2), Eimeria tenella (C1,C2), and Eimeria necatrix (D1,D2). Panels (A1D1) show real-time fluorescence amplification curves generated from 10-fold serial dilutions (109 to 100 copies/μL) of standard plasmids in the FAM (A1), VIC (B1), Texas Red (C1), and Cy5 (D1) channels, respectively. Panels (A2D2) show corresponding agarose gel electrophoresis results of conventional PCR products from the same dilution series. M: DNA marker; NC: negative control.
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Figure 4. (A) Comparison of detection rates for Eimeria acervulina, E. tenella, E. maxima, and E. necatrix in 165 clinical samples using the multiplex TaqMan-MGB qPCR assay (blue bars) and conventional PCR (orange bars). The multiplex qPCR method demonstrated higher detection rates for all four target species compared to conventional PCR. (B) Venn diagram illustrating the distribution of single and mixed infections among the four Eimeria species detected in 154 qPCR-positive clinical samples. Mixed infections were predominant, with the most frequent combinations being E. tenella + E. necatrix, and E. acervulina + E. tenella + E. necatrix. Four-species co-infection was observed in 18 samples.
Figure 4. (A) Comparison of detection rates for Eimeria acervulina, E. tenella, E. maxima, and E. necatrix in 165 clinical samples using the multiplex TaqMan-MGB qPCR assay (blue bars) and conventional PCR (orange bars). The multiplex qPCR method demonstrated higher detection rates for all four target species compared to conventional PCR. (B) Venn diagram illustrating the distribution of single and mixed infections among the four Eimeria species detected in 154 qPCR-positive clinical samples. Mixed infections were predominant, with the most frequent combinations being E. tenella + E. necatrix, and E. acervulina + E. tenella + E. necatrix. Four-species co-infection was observed in 18 samples.
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Table 1. Primers and probes for multiplex qPCR detection of E. acervulina, E. maxima, E. tenella, and E. necatrix.
Table 1. Primers and probes for multiplex qPCR detection of E. acervulina, E. maxima, E. tenella, and E. necatrix.
PrimesSequence (5′ → 3′)Target GeneProduct Size (bp)
acer-FAAGCATCATTGCCACCTEimeria acervulina
AF446055
ITS-1
140
acer-RTGCCAGGGTCACATGT
acer-probeFAM-CGGCGCATGCACCGCT-MGB
max-FATCATTGAATCCCTTTCAEimeria maxima
AF446060
ITS-1
105
max-RACCCTTCTAAAGAGC
max-probeVIC-ATTAAGGACACAAACAATGCCTA-MGB
tene-FTTATGAGAGGAGAAGACGEimeria tenella
AF446074
ITS-1
111
tene-RAGACAGAACGCACACA
tene-probeTXR-ATGCAGAGCGCTCGCGGCTC-MGB
nec-FACACAGTTTGTACGCCTEimeria necatrix
AF446069
ITS-1
60
nec-RAAGCTGACGCTTGAAAC
nec-probeCY5-AGAACGCGCTGCTGCTG-MGB
Table 2. Primers used for recombinant plasmid standards construction.
Table 2. Primers used for recombinant plasmid standards construction.
PathogensPrimersSequence (5′ → 3′)Product Size (bp)Accession No.
Eimeria acervulinaFACGACGCATTTTTGTG214AF446055
RGCTATGGGTGCTCATC
EimeriamaximaFAGAACTAGCCTAACCC138AF446060
RATGCAAGAGGACATC
Eimeria tenellaFGTGGAACCTCTCAAGA 431AF446074
RTGATCCTGCGTTGTGA
Eimeria necatrixFAGTAGAAGAGCCTATCA292AF446069
RTCATTCACACAGTTTGTAC
Table 3. Intra-assay and inter-assay reproducibility of the multiplex TaqMan-MGB qPCR assay for standard plasmids p-acer, p-max, p-ten, and p-nec at three different template concentrations. Each plasmid standard was tested in triplicate across three independent experiments. The coefficient of variation (CV) was calculated based on the mean quantification cycle (Cq) values and standard deviations (SD).
Table 3. Intra-assay and inter-assay reproducibility of the multiplex TaqMan-MGB qPCR assay for standard plasmids p-acer, p-max, p-ten, and p-nec at three different template concentrations. Each plasmid standard was tested in triplicate across three independent experiments. The coefficient of variation (CV) was calculated based on the mean quantification cycle (Cq) values and standard deviations (SD).
Plasmid StandardsConcentration of Template (Copies/μL)Intra-Coefficient of VariationInter-Coefficient of Variation
X ± SDCV (%)X ± SDCV (%)
p-acer10714.527 ± 0.2701.8614.680 ± 0.2641.80
10618.660 ± 0.2351.2618.630 ± 0.3501.88
10522.776 ± 0.2871.2622.753 ± 0.3711.63
p-max10713.79 ± 0.1991.4513.833 ± 0.2201.59
10618.567 ± 0.2551.3818.500 ± 0.2661.22
10523.247 ± 0.2911.2523.150 ± 0.2601.13
p-ten10721.547 ± 0.1920.8921.733 ± 0.3801.75
10625.573 ± 0.2761.0825.427 ± 0.3871.52
10529.607 ± 0.2480.8430.073 ± 0.3181.06
p-nec10714.257 ± 0.2611.8314.543 ± 0.2151.48
10617.523 ± 0.1630.9317.556 ± 0.2611.49
10522.827 ± 0.1720.7623.000 ± 0.2090.91
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Lin, L.; Chen, X.-L.; Wu, S.-H.; Cai, X.; Jiang, B.; You, W.; Zheng, M. Simultaneous Detection and Differentiation of Four Eimeria Species in Chickens (E. tenella, E. maxima, E. necatrix, and E. acervulina) Using a Multiplex TaqMan-MGB qPCR Assay. Animals 2025, 15, 2792. https://doi.org/10.3390/ani15192792

AMA Style

Lin L, Chen X-L, Wu S-H, Cai X, Jiang B, You W, Zheng M. Simultaneous Detection and Differentiation of Four Eimeria Species in Chickens (E. tenella, E. maxima, E. necatrix, and E. acervulina) Using a Multiplex TaqMan-MGB qPCR Assay. Animals. 2025; 15(19):2792. https://doi.org/10.3390/ani15192792

Chicago/Turabian Style

Lin, Lin, Xiao-Li Chen, Sheng-Hui Wu, Xi Cai, Bin Jiang, Wei You, and Min Zheng. 2025. "Simultaneous Detection and Differentiation of Four Eimeria Species in Chickens (E. tenella, E. maxima, E. necatrix, and E. acervulina) Using a Multiplex TaqMan-MGB qPCR Assay" Animals 15, no. 19: 2792. https://doi.org/10.3390/ani15192792

APA Style

Lin, L., Chen, X.-L., Wu, S.-H., Cai, X., Jiang, B., You, W., & Zheng, M. (2025). Simultaneous Detection and Differentiation of Four Eimeria Species in Chickens (E. tenella, E. maxima, E. necatrix, and E. acervulina) Using a Multiplex TaqMan-MGB qPCR Assay. Animals, 15(19), 2792. https://doi.org/10.3390/ani15192792

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