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Prevalence, geographic distribution and risk factors of Eimeria species on commercial broiler farms in Guangdong, China

BMC Veterinary Research volume 20, Article number: 171 (2024) Cite this article

Abstract

Background

Coccidiosis is one of the most frequently reported diseases in chickens, causing a significant economic impact on the poultry industry. However, there have been no previous studies evaluating the prevalence of this disease in broiler farms in Guangdong province. Therefore, this study aims to conduct an epidemiological investigation into the occurrence of Eimeria species and associated risk factors in intensive management conditions across four regions in Guangdong province, China. A total of 394 fecal samples were collected from 89 broiler farms in Guangdong province. The prevalence of Eimeria species infection was determined using PCR, and the occurrence of Clostridium perfringens type A was assessed using quantitative real-time PCR.

Results

The results showed an overall prevalence of 98.88% (88/89) at the farm level and 87.06% (343/394) at the flock level. All seven Eimeria species were identified, with E. acervulina (72.53%; 64/89), E. tenella (68.54%; 61/89), and E. mitis (66.29%; 59/89) at the farm level, and E. acervulina (36.55%; 144/394), E. mitis (35.28%; 139/394), and E. tenella (34.01%; 134/394) at the flock level. The predominant species combination observed was a co-infection of all seven Eimeria species (6.74%; 6/89), followed by a combination of E. acervulina, E. tenella, E. mitis, E. necatrix, E. brunetti, and E. maxima (5.62%, 5/89). A combination of E. acervulina, E. tenella, E. mitis, E. necatrix, E. brunetti, and E. praecox (4.49%; 4/89) was also observed at the farm level. Furthermore, the study identified several potential risk factors associated with the prevalence of Eimeria species, including farm location, chicken age, drinking water source, control strategy, and the presence of C. perfringens type A were identified as potential risk factors associated with prevalence of Eimeria species. Univariate and multivariate analyses revealed a significant association between E. necatrix infection and both grower chickens (OR = 10.86; 95% CI: 1.92–61.36; p < 0.05) and adult chickens (OR = 24.97; 95% CI: 4.29–145.15; p < 0.001) compared to starter chickens at the farm level. Additionally, farms that used groundwater (OR = 0.27; 95% CI: 0.08–0.94; p < 0.05) were less likely to have E. maxima compared to those that used running water. At the flock level, the prevalence of E. tenella was significantly higher in the Pearl River Delta (OR = 2.48; 95% CI: 1.0–6.15; p = 0.05) compared to eastern Guangdong. Interestingly, flocks with indigenous birds were less likely to have E. brunetti (OR = 0.48; 95% CI: 0.26–0.89; p < 0.05) compared to flocks with indigenous crossbred birds. Furthermore, flocks that used anticoccidial drugs (OR = 0.09; 95% CI: 0.03–0.31; p < 0.001) or a combination of vaccines and anticoccidial drugs (OR = 0.06; 95% CI: 0.01–0.25; p < 0.001) were less likely to be positive for E. tenella compared to flocks that only used vaccines. Finally, flocks with C. perfringens type A infection were significantly more likely to have E. necatrix (OR = 3.26; 95% CI: 1.96–5.43; p < 0.001), E. tenella (OR = 2.14; 95% CI: 1.36–3.36; p < 0.001), E. brunetti (OR = 2.48; 95% CI: 1.45–4.23; p < 0.001), and E. acervulina (OR = 2.62; 95% CI: 1.69–4.06; p < 0.001) compared to flocks without C. perfringens type A.

Conclusions

This study conducted an investigation on the prevalence, distribution, and risk factors associated with Eimeria species infection in broiler chickens in Guangdong. The farm-level prevalence of Eimeria species was higher than the previous prevalence figures for other areas and countries. E. brunetti was identified at higher prevalence in Guangdong than previously survived prevalence in different regions in China. Farm location, chicken age, drinking water source, control strategy, and the presence of C. perfringens type A were considered as potential risk factors associated with prevalence of Eimeria species. It is imperative to underscore the necessity for further surveys to delve deeper into the occurrence of Eimeria species under intensive management conditions for different flock purposes.

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Background

Coccidiosis is a highly prevalent disease that affects chickens globally. It is caused by protozoan parasites from the Eimeria genus and can cause significant damage to the intestinal tract. This results in increased mortality rates, reduced weight gain, impaired nutrient absorption, and heightened susceptibility to other enteric pathogens [1]. The far-reaching consequences of this disease have a profound economic impact on the poultry industry [2]. In chickens, there are seven mainly recognized species of Eimeria: E. tenella, E. necatrix, E. brunetti, E. acervulina, E. maxima, E. mitis, and E. praecox. Each of these species has a preference for specific segments of the intestinal tract and exhibits varying levels of pathogenicity, resulting in distinct clinical manifestations [3]. E. necatrix is considered the most pathogenic species, while E. tenella, is relatively prevalent and both can cause bloody lesions and high rates of morbidity and mortality in chickens [4]; E. brunetti is highly pathogenic and is associated with haemorrhagic coccidiosis [5]. On the other hand, E. acervulina and E. maxima are classified as moderately pathogenic, causing inflammation of the intestinal wall characterized by pinpoint haemorrhage and epithelial demolition [5]. Finally, E. mitis and E. praecox are generally considered less pathogenic, causing malabsorption and enteritis [3].

Control strategies for coccidiosis primarily rely on chemotherapy or vaccination. However, the emergence of drug resistance in various regions and the lack of new anticoccidial drugs have led to a decrease in the effectiveness of these agents [6]. In recent decades, live anticoccidial vaccines have been utilized to prevent coccidiosis [7]. Currently, there are three types of live anticoccidial vaccines currently available in China: a trivalent vaccine containing E. tenella, E. acervulina and E. maxima; a tetravalent vaccine containing E. tenella, E. necatrix, E. acervulina, and E. maxima; and an imported vaccine, Coccivacâ„¢, containing E. maxima, E. mivati, E. acervulina and E. tenella. In order to accurately assess the effectiveness of these control strategies, including the composition of vaccines, it is crucial to have a thorough understanding of the epidemiology of Eimeria species and the potential risk factors associated with the occurrence of different Eimeria species.

The conventional taxonomy of Eimeria species has traditionally relied on morphological characteristics, the affected segments of the intestinal tract, and the pre-patent period of the Eimeria following in vivo infection in chickens [5]. However, these methods may not always provide precise diagnoses [8]. In recent decades, polymerase chain reaction (PCR) techniques have emerged as a valuable tool for identifying all seven Eimeria species. This molecular method utilizes genetic markers located within the internal transcribed spacer-1 (ITS-1), ITS-2, and the sequence characterized amplified region (SCAR) [9,10,11,12]. Currently, there is a lack of accurate data and previously reported information on the prevalence of Eimeria species in broiler farms in Guangdong province, China. Therefore, the purpose of this study is to investigate the epidemiology of Eimeria species in Guangdong province and analyze the associated risk factors. The findings from this study will not only contribute to our understanding of the occurrence and potential control strategies for coccidiosis in poultry in Guangdong province, China, but also enhance our comprehension of the potential risk factors associated with intensive poultry management practices.

Methods

Study area and farms

The study was conducted across four distinct regions, spanning geographically between 20°09'–25°31' north latitude and 109°45'–117°20' east longitude located in southern China. These regions covering a total land area of 179,800 km2. The study was carried out over an extensive timeframe, spanning from April 2020 to November 2021. The climate in Guangdong is subtropical, characterized by mild winters and hot, humid summers. The average annual temperature ranged from 23 to 25 °C. Additionally, the relative humidity levels ranged from 57 to 77% on average. The average monthly rainfall was approximately from 118 mm to 150 mm, drawing data from https://www.worldweatheronline.com/ as the source (Table 1). The selection of poultry farms depended on the number of broiler farms across four areas in Guangdong province. This study included 89 broiler farms (21 from eastern Guangdong, 19 from western Guangdong, 24 from northern Guangdong, and 25 from Pearl River Delta) (Fig. 1). Each farm had between 2 and 20 houses, with bird populations ranging from 5,000 to 40,000 individuals and a density of 10 to 16 birds/m2. The most common broiler breeds are the three-yellow chicken and the spotted-brown chicken. The bedding materials in use were wood shavings or rice husk.

Table 1 Managing characteristics of broiler farms in four regions of Guangdong, China during 2020 to 2021
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Fig. 1
figure 1

Approximate locations of 89 broiler farms included in this study. Each green dot represents an approximate farm location. Eastern, Western, Northern, and the Pearl River Delta of Guangdong are shaded as indicated

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Questionnaire design

Based on previous studies collecting data on farm management, performance figures, bird characteristics, chicken health and social factors, a questionnaire was developed for analyzing risk factors in this study to identify risk factors associated with Eimeria species distribution (Supplemental Table S1) [13]. The questionnaire for broiler farmers and/or veterinarians included 21 questions. In detail, the survey gathered information on bird-related factors (e.g., age, breed, flock size, and flock density), along with flock management practices associated with coccidiosis, such as general information on the farm (e.g., farm location, type of production, type of farming, litter composition, source of drinking water, and fecal treatment method), data regarding coccidiosis occurrence (e.g., coccidiosis detection, Eimeria species identification), and strategies for coccidiosis control (e.g., the use of coccidiostats and/or vaccines) (Supplemental Tables S2 and S3).

Fecal sample collection and sample analysis

Broiler flocks were sampled for this study according to the scale of poultry operations on the farm. On small-scale broiler farms, between 1 and 4 flocks were sampled, whereas on large-scale broiler farms, sampling involved 5 to 16 flocks. A total of 394 fecal samples were obtained on 89 farms. For sample collection, fresh fecal samples were obtained from different sites in each poultry house, as previously described by Kumar et al. [14]. This method included tracing a W-shaped pattern along each poultry house. Each sample, weighed approximately 250 g, was made up of 30 fresh fecal droppings collected from a single house. Samples were placed in labelled zipped plastic bags and immediately transported at 4 °C to the laboratory. Each sample was mixed with an equal volume of sterile ddH2O and was homogenized using a blender. 200 µl aliquots of the prepared samples were transferred into a 1.5 ml Eppendorf tubes for DNA extraction. The E.Z.N.A.® Stool DNA Kit (Omega, D4015) was used for genomic DNA extraction, following the manufacturer’s protocol. The extracted DNA was then stored at -20 °C until further use.

PCR was performed separately for each Eimeria species. The primer sequences for each Eimeria species can be found in Table 2, as previously described by Schnitzler et al. [15, 16] and Haug et al. [10]. Each amplification reaction consisted of a total volume of 20 µl, including 10 µl of Premix Taq™ (Takara, RR901A), 500 nm of species-specific for forward and reverse primers, 2 µl of DNA sample, and 6 µl of ddH2O. The amplification was carried out using a T100™ thermal cycler (Bio-Rad, USA) with the following cycling conditions: an initial denaturation step at 95 °C for 2 min, followed by 35 repeat cycles, each consisting of 30 s of denaturation at 95 °C, 30 s at 62 °C for annealing, and 1 min at 72 ° for extension, with a final extension step of 3 min. The resulting amplification products were then analyzed by electrophoresis using a 1.5% agarose gel (Supplemental Figure S1).

Table 2 Primers used for the detection of seven chicken Eimeria species
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The identification of C. perfringens type A in fecal samples was conducted using quantitative real-time PCR (qPCR) targeting the alpha toxin gene, as described by Mohiuddin et al. [17]. The qPCR was carried out in a reaction mixture of 20 ul, containing TB Green Premix Ex Taq II (Takara, RR820B) (10 µL), forward primers (1 µL), reverse primers (1 µL), template DNA 1µL (150–200 ng), and ddH2O (7 µL). The amplification process was performed using CFX Connect™ Real-Time PCR System (Bio-Rad, USA). The amplification program was at 95 °C for 30 s, 35 cycles of denaturation at 95 °C for 15 s, annealing at 60 °C for 30 s, and a final step for dissociation at 95 °C for 10 s, 65 °C for 5 s, and 95 °C for 5 s.

Statistical analysis

All statistical analyses were performed using software IBM SPSS Statistics 27.0 software (SPSS Inc., http://www.spss.com.hk). Descriptive statistics, including bird age, bird breed, flock size, farming type, type of drinking water, and control strategy were obtained from the questionnaires. The prevalence of Eimeria spp. infections, with a 95% confidence interval (CI), was initially calculated. Univariable and multivariable logistic regression models were then used to assess the predictor variables associated with the presence of Eimeria species. Multivariable models were built using forward stepwise logistic regression procedures, with inclusion if p < 0.05. The prevalence of each species of Eimeria infection in variables such as age, breed, flock size, farming type, drinking water source, control strategy, region, and presence of C. perfringens type A was compared using chi-square test or Fisher’s exact test. The odds ratio (OR) with a 95% CI was calculated to assess the associations between participants’ characteristics and Eimeria species infection. A p value of ≤ 0.05 was considered as statistically significant.

Results

Infection of Eimeria species in broiler chickens in Guangdong

An epidemiological study was conducted in Guangdong province from April 2020 to November 2021 to investigate the prevalence of Eimeria species infection in broiler chickens. A total of 394 flocks from 89 broiler farms were examined for the presence of Eimeria species. The overall farm-level infection rate was 98.88% (88/89; 95% CI: 96.64–100%), while the flock-level prevalence was 87.06% (343/394; 95% CI: 83.73–90.38%) (Table 3). All four regions of Guangdong were found to have seven Eimeria species present. The most common species at the farm-level were E. acervulina (72.53%; 64/89; 95% CI: 63.18–81.88%), E. tenella (68.54%; 61/89; 95% CI: 58.70–78.38%), E. mitis (66.29%; 59/89; 95% CI: 56.28–76.31%), and E. necatrix (61.80%; 55/89; 95% CI: 51.50–72.09%). At the flock-level, the predominant species were E. acervulina (36.55%; 144/394; 95% CI: 31.77–41.32%), E. mitis (35.28%; 139/394; 95% CI: 30.54–40.02%), E. tenella (34.01%; 134/394; 95% CI: 29.31–38.71%), and E. necatrix (30.96%; 122/394; 95% CI: 26.38–35.55%). Geographically, E. necatrix was significantly more prevalent in northern Guangdong (87.50%; 21/24; 95% CI: 73.23–100%) at the farm-level (p < 0.05), as well as at the flock-level with a prevalence of 46.77% in northern Guangdong (58/124; 95% CI: 37.87–55.68%) (p < 0.001). In contrast, E. acervulina was more prevalent in both eastern (47.13%; 41/87; 95% CI: 36.43–57.83%) and western Guangdong (45.71%; 32/70; 95% CI: 33.75–57.68%) at the flock-level (p < 0.05). Additionally, both E. tenella and E. acervulina were more prevalent in eastern Guangdong, with a prevalence of 45.98% (40/87; 95% CI: 35.29–56.66%) (p < 0.05), and 47.13% (41/87; 95% CI: 36.43–57.83%) (p < 0.05), respectively (Table 3).

Table 3 Farm-level and flock-level prevalence of seven avian Eimeria species in broiler chickens from Guangdong province, China
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Mixed infection of Eimeria species

In this study, the prevalence of infection with two or more Eimeria species was found to be 93.25% (83/89) at the farm level and 49.75% (196/394) at the flock level. Co-infection with three and four Eimeria species was more common among the 89 farms included, with a proportion of 20.22% (18/89; 95% CI: 11.72–28.73%) for both, followed by co-infection with five Eimeria species, which was found in 17.95% (16/89; 95% CI: 9.84–26.11%) of the farms. In terms of single-species infections at the flock level, they were prevalent across all four regions of Guangdong, with a proportion of 37.31% (147/394; 95% CI: 32.51–42.11%). This was followed by co-infection with two Eimeria species, which was found in 19.80% (78/394; 95% CI: 15.85–23.75%) of the flocks. Only 49.75% (196/394) of samples contained two or more Eimeria species within a single fecal sample at the flock level (Table 4). At the farm level, the most common combination of Eimeria species was all seven species (6.74%; 6/89), followed by E. acervulina, E. tenella, E. mitis, E. necatrix, E. brunetti, and E. maxima (5.62%, 5/89), and E. acervulina, E. tenella, E. mitis, E. necatrix, E. brunetti, and E. praecox (4.49%; 4/89) (Table 5).

Table 4 Farm-level and flock-level frequency of mixed infections in broiler chickens from Guangdong province, China
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Table 5 Diversity and distribution of Eimeria species in broiler farms from Guangdong province, China
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Risk factors associated with Eimeria species infection

Univariate analysis was performed to determine the associations between the prevalence of Eimeria species infection at the farm level and various factors, such as farm location, bird age, drinking water source, control strategy, and presence of C. perfringens type A (Table 6). Multivariate analysis at the farm level revealed significant associations between E. necatrix infection and both grower birds (OR = 10.86; 95% CI: 1.92–61.36; p < 0.05) and adult birds (OR = 24.97; 95% CI: 4.29–145.15; p < 0.001) compared to starter birds. Additionally, a significant positive association was found between E. brunetti infection and adult chickens (OR = 5.02; 95% CI: 1.41–17.83; p < 0.05) compared to starter chickens. Farms that used groundwater (OR = 0.27; 95% CI: 0.08–0.94; p < 0.05) were less likely to have E. maxima compared to farms that used running water. Furthermore, farms with C. perfringens type A infection showed a significant positive association with E. brunetti (OR = 6.53; 95% CI: 1.52–28.09; p < 0.05), E. acervulina (OR = 5.30; 95% CI: 1.41–19.95; p < 0.05), E. mitis (OR = 4.23; 95% CI: 1.17–15.33; p < 0.05), and E. praecox (OR = 7.63; 95% CI: 1.45–40.09; p < 0.05) infections compared to farms without C. perfringens type A detected (Table 7).

Table 6 Univariate analysis of putative farm-level risk factors associated with Eimeria species infection in broiler chickens from Guangdong province, China
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Table 7 Multivariate analysis of putative farm-level risk factors associated with Eimeria species infection in broiler chickens from Guangdong province, China
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In the flock-level analysis, univariate analysis revealed significant associations between Eimeria species infections and several variables, including farm location, bird age, bird breed, farming practices, drinking water source, control strategy, and occurrence of C. perfringens type A (Table 8). Multivariate analysis showed that the prevalence of E. tenella was significantly higher in the Pearl River Delta (OR = 2.48; 95% CI: 1.0–6.15; p = 0.05) compared to eastern Guangdong. Flocks between 4 and 8 weeks of age were significantly associated with E. brunetti (OR = 2.63; 95% CI: 1.15–6.04; p < 0.05), E. maxima (OR = 3.05; 95% CI: 1.23–7.59; p < 0.05), E. mitis (OR = 2.01; 95% CI: 1.08–3.73; p < 0.05), and E. praecox (OR = 3.52; 95% CI: 1.44–8.62; p < 0.05) infections compared to flocks younger than 4 weeks flocks. Additionally, flocks older than 8 weeks were more likely to be positive for E. necatrix (OR = 9.65; 95% CI: 4.45–20.94; p < 0.001), E. brunetti (OR = 2.91; 95% CI: 1.31–6.44; p < 0.05), and E. maxima (OR = 2.88; 95% CI: 1.23–6.77; p < 0.05) infections compared to flocks younger than 4 weeks. Interestingly, flocks with indigenous birds were less likely to be positive for E. brunetti (OR = 0.48; 95% CI: 0.26–0.89; p < 0.05) compared to indigenous crossbred birds. Additionally, ground-floored flocks had a significantly higher prevalence of E. acervulina (OR = 2.63; 95% CI: 1.03–6.74; p < 0.05) compared to multi-layer caged flocks. On the other hand, ground-floored flocks were less likely to be positive for E. necatrix (OR = 0.34; 95% CI: 0.13–0.90; p < 0.05) compared to multi-layer caged flocks. Flocks treated with anticoccidial drugs (OR = 0.09; 95% CI: 0.03–0.31; p < 0.001) or a combination of vaccines and anticoccidial drugs (OR = 0.06; 95% CI: 0.01–0.25; p < 0.001) were less likely to be positive for E. tenella infection compared to flocks immunized with vaccines only. Flocks with C. perfringens type A infection had a significantly higher likelihood of being positive for E. necatrix (OR = 3.26; 95% CI: 1.96–5.43; p < 0.001), E. tenella (OR = 2.14; 95% CI: 1.36–3.36; p < 0.001), E. brunetti (OR = 2.48; 95% CI: 1.45–4.23; p < 0.001), and E. acervulina (OR = 2.62; 95% CI: 1.69–4.06; p < 0.001) infections compared to flocks that C. perfringens type A was not detected (Table 9).

Table 8 Univariate analysis of putative flock-level risk factors associated with Eimeria species infection in broiler chickens from Guangdong province, China
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Table 9 Multivariate analysis of putative flock-level risk factors associated with Eimeria species infection in broiler chickens from Guangdong province, China
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Discussion

Coccidiosis poses a significant economical challenge for the global poultry industry. This study aimed to investigate the prevalence of Eimeria species in Guangdong province, filling a critical research gap [18,19,20,21]. The overall prevalence of coccidiosis in Guangdong (87.06%; 343/394) was found to be higher than that in other regions, such as Zhejiang province in China (30.7%; 95/310) [19], Shandong province in China (65.8%; 50/76) [20], Korean (75%; 291/388) [22], Serbia (59%; 59/100) [23], north India (28.5%; 171/600) [24], and southwestern Nigeria (41.3%; 2292/5544) [25]. The farm-level prevalence of Eimeria species in this study (98.88%; 88/89) was higher than that reported in Romania (92%; 11/12) [6]. The high prevalence of Eimeria species in Guangdong province can be attributed to the climatic conditions, characterized by increased temperature and humidity, which promote the propagation of Eimeria in broiler flocks. Our findings are consistent with previous reports from other tropical and subtropical regions and countries, including Anhui province in China (87.75%; 150/171) [21], two northern Indian states (81.03%; 47/58) [26] and Greece (85.7%; 36/42) [27]. However, higher prevalence rates were documented in Henan province (96.70%; 176/182) and Hubei province in China (97.79%; 133/136) [28], Colombia (96.3%; 236/245) [29], Australia (98%; 255/260) [30], Japan (91.9%; 33/37) [31], and northeastern Algeria (99.5%; 186/187) [32]. This variability can be attributed to differing climate conditions, seasonal variations, different terrains, and management practices in different regions and countries.

Seven distinct Eimeria species were identified within broiler farms in Guangdong province. The most prevalence species at the flock level were E. acervulina (36.55%; 144/394), E. mitis (35.28%; 139/394), E. tenella (34.01%; 134/394), and E. necatrix (30.96%; 122/394). It is well-known that the interactions between Eimeria species and crowing effects play a pivotal role in oocyst production [33]. E. acervulina and E. tenella exhibit higher productive potential, and in cases of mixed infection, E. acervulina tends to suppress the oocyst production of E. necatrix, E. maxima, and E. brunetti [34, 35]. Our study found that single-species infections were predominant at the flock level (37.31%; 147/394), with only 49.75% (196/394) of samples infected with two or more Eimeria species within a single fecal sample. The most common combination found was all seven Eimeria species (6.74%; 6/89), which differs from a previous report that found the most common combination to be E. acervulina, E. maxima, E. necatrix, and E. praecox (23.90%) in Pichincha and Santo Domingo de los Tsáchilas, Ecuador [36].

Univariate and multivariate analyses have identified several potential risk factors associated with the prevalence of Eimeria species. This study found that flocks with adult chickens faced a higher risk of E. necatrix infection (OR = 9.65, 95% CI: 4.45–20.94; p < 0.001) compared to starter chickens. This finding is consistent with previous reports, which have also suggested higher prevalence rates among adult birds compared to birds of other ages [37, 38]. However, it contrasts with studies by Lawal et al. [39] and Khursheed et al. [24], which reported that younger birds were more susceptible to infection than older birds. This discrepancy might be attributed to variations in the prevalence of Eimeria species. E. necatrix is known to have lower reproductive capabilities and is considered a ‘poor competitor’ compared to other species, which may explain its higher prevalence in older birds [40]. Notably, outbreaks due to E. necatrix predominantly occur in older birds aged 9–14 weeks [41]. The increase in epidemic E. necatrix prevalence observed in this study highlights the importance of improving preventative measures.

The association between geographical variation and elevated prevalence of coccidia has been reported in previous studies [42,43,44]. In this study, flocks from the Pearl River Delta had a higher risk of E. tenella occurrence (OR = 2.48, 95% CI: 1.0–6.15; p = 0.05) compared to those from eastern Guangdong. This could be due to the heavier rainfall (approximately 149 mm/year) and relatively lower humidity (approximately 57%) in the Pearl River Delta. These findings are consistent with a previous report by Waldenstedt et al. [45] which found that the sporulation of Eimeria oocysts was poorest under the conditions of high moisture content (62%), suggesting that oocyst sporulation may be more efficient in drier litter [40].

This study observed a lower risk of E. tenella infection in flocks that used anticoccidial drugs (OR = 0.09, 95% CI: 0.03–0.31; p < 0.001) or a combination of vaccines and anticoccidial drugs (OR = 0.06, 95% CI: 0.01–0.25; p < 0.001) compared to flocks that only used vaccines. This result is consistent with previous research, which found that oocyst shedding was significantly lower in medicated flocks compared to vaccinated flocks in chickens younger than 4 weeks (p < 0.05) [46]. Additionally, this study found a high prevalence of E. brunetti (19.80%; 78/394) in Guangdong, compared to a previous study in China (6.6%) [28], where no commercial vaccines containing E. brunetti are available. Given its classification as a highly pathogenic species, it may be necessary to include E. brunetti in vaccines in China. Furthermore, previous studies have shown that chickens raised in free-range systems have a higher occurrence of coccidiosis compared to those raised in cages [22, 28], as the main mode of transmission for sporulated oocysts of coccidia is through the fecal-oral route. In this study, a higher risk of E. acervulina infection (OR = 2.63, 95% CI: 1.03–6.74; p < 0.05) was found in ground-floored flocks compared to multi-layer caged flocks. However, ground-floored flocks were less likely to be positive for E. necatrix (OR = 0.34; 95% CI: 0.13–0.90; p < 0.05) compared to multi-layer caged flocks. The higher prevalence of coccidia in birds raised in multi-layer cages may be attributed to high bird density and suboptimal cage design or maintenance. Further studies with a larger sample size are needed to explore the prevalence of Eimeria in flocks using different farming methods.

In the present study, the occurrence of C. perfringens type A was significantly associated with the flock-level prevalence of E. acervulina (OR = 2.62, 95% CI: 1.69–4.06; p < 0.001), E. necatrix (OR = 3.26, 95% CI: 1.96–5.43; p < 0.001), E. brunetti (OR = 2.48, 95% CI: 1.45–4.23; p < 0.001), and E. maxima (OR = 1.99, 95% CI: 1.16–3.42; p < 0.05) compared to flocks where clostridia were not detected. Similarly, a previous study found that infection rates of Eimeria species were significantly associated with a history of clostridiosis on farms (OR = 2.6, 95% CI: 1.19–2.78; p = 0.006) [47]. The damage to the intestinal epithelium caused by coccidia creates an environment that allows for rapid replication and toxin production of C. perfringens [48]. In addition, experimental use of C. perfringens type A, and E. acervulina or E. necatrix has been shown to produce necrotic enteritis in chickens, with a mortality rate of 53% in chickens infected with E. acervulina before C. perfringens type A [48]. Under field conditions, coccidia can play a significant role in the occurrence of necrotic enteritis when there is a sufficient number of C. perfringens type A present [49].

Conclusion

This study highlights the high prevalence of Eimeria species infections in broiler chickens across Guangdong province, China. The infection is widespread at both the farm and flock levels, with 98.88% (88/89) and 87.06% (343/394) of samples testing positive, respectively. The most common species found was E. acervuline in both farm and flock settings. Univariate and multivariate analysis revealed that geographical location, bird age, drinking water source, control methods, and the presence of C. perfringens type A were all associated with Eimeria species infection in chickens. Based on the identified risk factors, it is crucial to implement effective control strategies and management practices to reduce infections and minimize economic losses in poultry farming.

Availability of data and materials

The data that supporting the findings of this study, and the datasets used and/or analyzed during this study are available from the corresponding author on reasonable request.

Abbreviations

E. necatrix :

Eimeria necatrix

E. tenella :

Eimeria tenella

E. brunetti :

Eimeria brunetti

E. acervulina :

Eimeria acervulina

E. maxima :

Eimeria maxima

E. mitis :

Eimeria mitis

E. praecox :

Eimeria praecox

C. perfringens :

Clostridium perfringens

PCR:

Polymerase chain reaction

qPCR:

Quantitative real-time polymerase chain reaction

ITS:

Internal transcribed spacer

SCAR:

Sequence characterized amplified region

OR:

Odds ratio

CI:

Confidence interval

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Acknowledgements

We are so grateful to Dr. Junfen Liang and Dr. Xu Liu from the Institute of Agricultural Economics and Information, Guangdong Academy of Agricultural Sciences, for their technical support in creating and scaling maps to locate the sampled farms. We are thankful for the farm managers/owners, and veterinarians who agreed to participate in this study.

Funding

This work was supported by the National Key Research and Development Program of China (2023YFD1801202), The open competition program of top ten critical priorities of Agricultural Science and Technology Innovation for the 14th Five-Year Plan of Guangdong Province (2023SDZG02), Key Realm R&D Program of Guangdong Province (2023B0202150001), Opening Project of State Key Laboratory of Swine and Poultry Breeding Industry (2023QZ-NK05, 2022GZ07), Science and technology project of Yunfu (2022020202), Science and technology project of Guangzhou (2023B04J0137, 2023A04J0789), Special fund for scientific innovation strategy-construction of high level Academy of Agriculture Science (202110TD, 202122TD, R2020PY-JC001, R2019YJ-YB3010, R2020PY-JG013, R2020QD-048, R2021PY-QY007, R2023PY-JG018), The Project of Collaborative Innovation Center of GDAAS (XTXM202202).

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  1. Shenquan Liao and Xuhui Lin contributed equally to this work.

Authors and Affiliations

  1. Key Laboratory of Livestock Disease Prevention of Guangdong Province, Key Laboratory of Avian Influenza and Other Major Poultry Diseases Prevention and Control, Ministry of Agriculture and Rural Affairs, Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, China

    Shenquan Liao, Xuhui Lin, Caiyan Wu, Juan Li, Minna Lv, Junjing Hu, Haiming Cai, Yongle Song, Xiangjie Chen, Yibin Zhu, Lijun Yin, Jianfei Zhang, Nanshan Qi & Mingfei Sun

  2. Wen’s Group Academy, Wen’s Foodstuffs Group Co., Ltd., Xinxing, Guangdong, China

    Qingfeng Zhou & Zhuanqiang Yan

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  1. Shenquan Liao
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Contributions

SL, NQ, and MS designed this study. SL, XL, QZ and ZY collected samples. CW, JL, ML, JH, HC, YS, and XC performed experiments. SL, XL, YZ, LY, JZ, NQ, and MS interpreted the results and drafted the manuscript. All authors have read and approved the final version of the manuscript.

Corresponding authors

Correspondence to Nanshan Qi or Mingfei Sun.

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Ethics approval and consent to participate

The questionnaire and fecal sampling protocols were reviewed and approved by the Animal Care and Use Committee of the Institute of Animal Health, Guangdong Academy of Agricultural Sciences. The farm owners were aware of the objectives of this study. An informed consent was obtained from all broiler farm owners. All methods were carried out in accordance with relevant guidelines and regulations.

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The authors declare no competing interests.

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Liao, S., Lin, X., Zhou, Q. et al. Prevalence, geographic distribution and risk factors of Eimeria species on commercial broiler farms in Guangdong, China. BMC Vet Res 20, 171 (2024). https://doi.org/10.1186/s12917-024-03990-4

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