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Unveiling the presence and genotypic diversity of Giardia duodenalis on large-scale sheep farms: insights from the Henan and Ningxia Regions, China

Parasites & Vectors volume 17, Article number: 312 (2024) Cite this article

Abstract

Background

The parasitic protozoan Giardia duodenalis is an important cause of diarrheal disease in humans and animals that can be spread by fecal–oral transmission through water and the environment, posing a challenge to public health and animal husbandry. Little is known about its impact on large-scale sheep farms in China. In this study we investigated G. duodenalis infection of sheep and contamination of the environment in large-scale sheep farms in two regions of China, Henan and Ningxia.

Methods

A total of 528 fecal samples, 402 environmental samples and 30 water samples were collected from seven large-scale sheep farms, and 88 fecal samples and 13 environmental samples were collected from 12 backyard farms. The presence of G. duodenalis was detected by targeting the β-giardin (bg) gene, and the assemblage and multilocus genotype of G. duodenalis were investigated by analyzing three genes: bg, glutamate dehydrogenase (gdh) and triphosphate isomerase (tpi).

Results

The overall G. duodenalis detection rate was 7.8%, 1.4% and 23.3% in fecal, environmental and water samples, respectively. On the large-scale sheep farms tested, the infection rate of sheep in Henan (13.8%) was found to be significantly higher than that of sheep in Ningxia (4.2%) (P < 0.05). However, the difference between the rates of environmental pollution in Henan (1.9%) and Ningxia (1.0%) was not significant (P > 0.05). Investigations of sheep at different physiological stages revealed that late pregnancy ewes showed the lowest infection rate (1.7%) and that young lambs exhibited the highest (18.8%). Genetic analysis identified G. duodenalis belonging to two assemblages, A and E, with assemblage E being dominant. A total of 27 multilocus genotypes were identified for members of assemblage E.

Conclusions

The results suggest that G. duodenalis is prevalent on large-scale sheep farms in Henan and Ningxia, China, and that there is a risk of environmental contamination. This study is the first comprehensive examination of the presence of G. duodenalis on large-scale sheep farms in China. Challenges posed by G. duodenalis to sheep farms need to be addressed proactively to ensure public health safety.

Graphical Abstract

Background

Giardia duodenalis, also known as Giardia lamblia and Giardia intestinalis, is a parasitic protozoan with global distribution. This pathogen is a primary contributor to diarrheal illness and can cause various symptoms, including nausea, vomiting and dehydration [1]. Severe G. duodenalis infections can result in death of the host [2]. While G. duodenalis infections may be asymptomatic, research indicates that they can lead to developmental delays in young animals and hinder reproductive capabilities in adult ones [3]. Furthermore, G. duodenalis has been linked with arthritis and irritable bowel syndrome in humans [4, 5].

Giardia duodenalis is categorized into eight assemblage types (assemblages A–H), with each assemblage having its own distinct host range. Assemblages A and B exhibit the widest host spectrum and are recognized as typical zoonotic assemblages capable of infecting humans and the majority of mammals [6]. The remaining assemblages are relatively host-specific; however, the host specificity is not always absolute. Although assemblages C-H are usually associated with hosts other than humans, assemblages C [7], E [8, 9] and F [10] have been documented in humans. Sheep play a significant role as hosts of G. duodenalis, with infection rates varying from 0 to 89.17% [11, 12]. In sheep, assemblage E is the predominant type in sheep, with assemblages A and B also commonly detected [13, 14]. Sheep are recognized as a potential source for the transmission of G. duodenalis infection to humans [14]. To better assess the zoonotic transmission of giardiasis and to differentiate mixed infections of assemblages, high-resolution multilocus genotyping analysis has been widely used to characterize G. duodenalis isolates from humans and animals by sequencing a number of genes with intrapopulation variants, including the genes for β-giardin (bg), glutamate dehydrogenase (gdh), and triosephosphate isomerase (tpi) [15, 16].

During the peak of infection, ruminants can excrete 106 infective cysts per gram of feces, which are readily infectious upon excretion [17]. The cysts can remain infectious for several months in a suitable environment, leading to rapid accumulation in the high-density rearing environment of large-scale sheep farms. Healthy hosts primarily contract G. duodenalis through the fecal–oral route, which can occur from consuming contaminated water or food, or through direct contact with infected animals [6, 18]. Giardia duodenalis is well-suited for rapid environmental transmission in ruminants. While direct evidence of G. duodenalis transmission through contaminated environments is limited, evidence is accumulating that does suggest the spread of this parasite through a contaminated environment [19,20,21].

China is a significant sheep farming nation and has actively promoted large-scale sheep farming to advance agricultural modernization. However, high-density farming creates conditions conducive to G. duodenalis outbreaks. While many sheep infected with G. duodenalis do not display clinical symptoms, they still shed infectious G. duodenalis cysts into the environment. Given that exposure to these cysts through contaminated water and food is the primary mode of G. duodenalis transmission to animals and humans, the presence of these cysts on sheep farms could pose a threat to the surrounding environment and the health of individuals residing nearby.

The objective of this study was to investigate the prevalence and genetic diversity of G. duodenalis in large-scale sheep farms in Henan Province (Henan) and the Ningxia Hui Autonomous Region (Ningxia), China. Specifically, the study objectives were: (i) to determine the prevalence of infection in sheep at different physiological stages; (ii) to assess the contamination of the environment and water by G. duodenalis in large-scale sheep farms; and (iii) to analyze the genetic diversity of different isolates of G. duodenalis by using multilocus genotypes (MLGs) to gain insights into the epidemiology of the pathogen and the potential transmission of zoonotic diseases.

Methods

Sample collection

From September 2021 to March 2023 we conducted an observational study, collecting a total of 616 fresh fecal samples (sample size 5–30 g) by rectal sampling from sheep in two regions of China, Henan and Ningxia. Of the 616 samples collected, 528 were collected on seven large-scale sheep farms (sheep farms that adopt modern farming techniques and management methods for standardized production), of which 516 could be classified according to nine physiological stages: lactating lambs, weaning lambs, fattening lambs, young lambs, non-pregnant ewes, early-pregnancy ewes, late-pregnancy ewes, lactating ewes and breeding rams. A total of 26 fecal samples were collected from three of the seven large-scale sheep farms; the remaining four large-scale sheep farms were sampled in a proportional manner, with samples collected from 0.5% to 2% of sheep on each farm, resulting in a total of 502 samples. The remaining 88 samples were collected on 12 backyard farms (breeding in a private home backyard or small-scale setting, with each farm having < 300 sheep) (Table 1).

Table 1 Infection and environmental contamination of sheep with Giardia duodenalis in different regions and farm types in Henan and Ningxia regions, China
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Environmental samples (sample size 5–30 g) were collected randomly at the entrance of the building(s) used for sheep housing, inside the building(s), at the exit of the building(s) and in the aisles of the building(s). The collected samples were placed in clean plastic bags and numbered, and registration information recorded. A total of 415 environmental samples were collected, of which 402 were from large-scale sheep farms and 13 from places where backyard sheep rearing takes place (Table 1).

On a large sheep farm in Ruzhou, Henan Province, drinking water samples from two to four sheep were collected from pens at each physiological stage (30 samples in total). Each water sample (50 ml) was placed in a clean centrifuge tube, labeled with a number and registered (Table 1). All of the samples were labeled and stored, then transferred to the laboratory while preserving the cold chain; in the laboratory, the samples were kept at 4 °C until examination within 48 h. Should the allotted time be exceeded, a 2.5% solution of potassium dichromate was added to each sample and the samples stored at 4 °C until examination.

DNA extraction and PCR amplification

DNA was extracted from each stool sample (approx. 200 mg) using a stool DNA extraction kit (Omega Bio-Tek Inc., Norcross, GA, USA) according to the manufacturer’s recommendations. The extracted DNA was stored at − 20 °C until PCR amplification. PCR amplification was first performed on all samples against the bg gene [22] to detect the presence of G. duodenalis and to determine the assemblage type. Bg-positive samples were then subjected to PCR amplification based on the gdh and tpi genes [23, 24] to determine the MLG. Two sets of primers specific for assemblage A and assemblage E at the tpi gene were used for amplification to enhance the identification of mixed infections involving different assemblages of G. duodenalis [25].

Sequencing and sequence analysis

All PCR amplification products with the appropriate fragment size were purified and sequenced by SinoGenoMax Co. Ltd. (Beijing, China). Bidirectional sequencing was used to ensure sequence accuracy. The sequences were proofread for DNA peak patterns using SeqMan in DNASTAR (DNASTAR, Inc., Madison, WI, USA; http://www.dnastar.com/). The Clustal X v2.0 software (http://www.clustal.org/) and data from GenBank were used to compare and identify the manually spliced sequences. The amplification results for the bg, gdh and tpi genes were analyzed to reveal the genetic diversity of G. duodenalis.

To examine the relationships between various isolates and uncover the genetic diversity of G. duodenalis, we used MEGA 7.0 software (https://www.megasoftware.net/) to construct a phylogenetic tree based on the neighbor-joining method [26]. Gene sequences were concatenated (bg–tpi–gdh), and the Tamura-Nei model was chosen for analysis [27]. The reliability of the evolutionary tree was analyzed by performing 1000 replications using the bootstrap method for phylogenetic analysis.

Statistical analysis

Infection rates were analyzed by region and physiological stage using Chi-square (χ2) analysis and SPSS software v26 (SPSS–IBM Corp., Armonk, NY, USA). P < 0.05 was considered statistically significant.

Results

Giardia duodenalis infection in sheep and environmental contamination

Giardia duodenalis was detected in 48 (7.8%; 95% confidence interval [CI] 5.7–9.9%) fecal samples, six (1.5%; 95% CI 0.3–2.7%) environmental samples and seven (23.3%; 95% CI 7.3–39.4%) water samples (Table 1). A total of 528 fecal samples from the large-scale sheep farms were analyzed, with an overall infection rate of 9.1% (48/528; 95% CI 6.6–11.6%) (Table 1). The infection rate on sheep farms in Henan was notably higher (13.8% [37/26]; 95% CI 9.6–17.9%) than that in Ningxia (4.2% [11/259]; 95% CI 1.8–6.7%; χ2 = 14.432, df = 1, P < 0.05 (Fig. 1). A total of 402 environmental samples from large-scale sheep farms were examined, with an overall detection rate of 1.5% (6/402; 95% CI 0.3–2.7%). The detection rate on the farms in Henan was 1.9% (4/207; 95% CI 0.0–3.8%), which was slightly higher than that on the farms in Ningxia (1.0% [2/195]; 95% CI 0.0–2.5%; χ2 = 0.561, df = 1, P > 0.05). Of the 30 water samples analyzed, seven (23.3%; 95% CI 7.3–39.4%), which were all collected from large-scale farms in the Ruzhou area of Henan, tested positive for G. duodenalis. Giardia duodenalis was not detected in any of the 88 fecal samples or 13 environmental samples tested from sites of backyard sheep rearing (Table 1).

Fig. 1
figure 1

Infection and environmental contamination of sheep with Giardia duodenalis on large-scale sheep farms in the Henan and Ningxia regions, China. Numbers above bars are the infection rates

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Four breeds of sheep were examined in this study on large-scale sheep farms, with the highest infection rate of 15.2% (39/257; 95% CI 10.8–19.6%) registered in Hu sheep. This infection rate was significantly higher than the infection rate of 3.0% (7/236; 95% CI 0.8–5.1%) registered in Tan sheep.

Samples from large-scale sheep farms were collected over two time periods: January to March (winter to early spring, when temperatures are relatively lower) and July to September (from summer to early autumn, when temperatures are relatively higher). Fecal testing revealed that the prevalence of G. duodenalis infection in sheep was 20.2% (20/99; 95% CI 12.2–18.3%) during the January–March period, which was significantly higher than the 6.5% (28/429; 95% CI 4.2–8.9%) registered during the July–September period (χ2 = 19.797, df = 1, P < 0.05). For environmental samples, the detection rate was 3.0% (3/99; 95% CI 0.0–6.5%) in the January-March period, which was slightly higher than that of 1.0% (3/303; 95% CI 0.0–2.1%) registered in the July–September period, but the difference was not statistically significant (χ2 = 2.113, df = 1, P > 0.05) (Table 2; Fig. 2).

Table 2 Giardia duodenalis infection in different breeds of sheep and positivity of environmental samples at different sampling times
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Fig. 2
figure 2

Giardia duodenalis infection rates and environmental contamination of sheep on large-scale sheep farms during different time periods. Numbers above bars are the infection rates

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After analyzing 516 fecal samples from sheep at distinct physiological stages on large-scale sheep farms, variations in infection rates were observed among the physiological stages. Notably, young lambs exhibited the highest infection rate, 18.8% (13/69; 95% CI 9.4–28.3%), followed by weaning lambs (17.3% [9/52]; 95% CI 6.7–27.9%). Late-pregnancy ewes displayed the lowest infection rate (1.7% [1/58]; 95% CI 0.0–5.2%). Infection rates in sheep at other physiological stages ranged from 5.3% to 10.0% (Table 3).

Table 3 Giardia duodenalis infection in sheep at different physiological stages on large-scale sheep farms in the Henan and Ningxia regions, China
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Giardia duodenalis assemblage distribution

A total of 61 samples positive for the bg gene were identified in nested PCR analysis targeting G. duodenalis (48 fecal samples, 6 environmental samples and 7 water samples). Among these, a human–animal co-infection with assemblage A was identified in one fecal sample, while the remaining samples belonged to assemblage E.

In the 61 samples identified as positive through analysis of the bg gene, the gdh gene was also analyzed. The results of this gdh gene analysis showed that 34 fecal samples, three environmental samples and three water samples were classified as belonging to assemblage E. A similar analysis of these 61 samples identified as positive based on analysis of the bg gene was conducted using the tpi gene. In the 48 fecal samples, assemblage E was recorded in 38 samples, along with five occurrences in environmental samples and six in water samples. Importantly, analysis of neither the gdh nor the tpi genes indicated the presence of assemblage A.

Subtypes of assemblages A and E

From among all 1060 samples, a total of 61, 49 and 40 sequences were obtained for the bg, tpi and gdh genes, respectively (Table 1). Using the sequence with GenBank accession number KT922248 as the reference sequence for the bg gene, the 60 sequences from assemblage E were identified to belong to 12 subtypes, of which three were newly discovered (PP934567–PP934569) (Table 4). Employing the reference sequence MF095054, six subtypes were identified from 49 tpi gene sequences, with one new subtype discovered (PP507056) (Table 5). Using KY711410 as the reference sequence, the 40 gdh gene sequences were divided into 12 subtypes, revealing seven new subtypes (PP934570–PP934574, PP507057–PP507058) (Table 6).

Table 4 Intra-assemblage substitutions in Giardia duodenalis assemblage E in the β-giardin gene loci
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Table 5 Intra-assemblage substitutions in assemblage E in the triosephosphate isomerase gene loci
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Table 6 Intra-assemblage substitutions in assemblage E in the glutamate dehydrogenase gene loci
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For the bg gene, one sequence belonging to assemblage A was identified that exhibited 100% homology with reference sequence MN629930.

Nucleotide sequence accession numbers

Representative nucleotide sequences from this study have been deposited in the NCBI GenBank database, with accession numbers PP934567–PP934569 for the bg gene, PP934570–PP934574 and PP507057–PP507058 for the gdh gene and PP507056 for the tpi gene.

Multilocus genotyping

A total of 38 samples, including 33 fecal samples, three environmental samples and two water samples exhibited amplification of all three genes (i.e., bg, gdh, and tpi) simultaneously. Among the 33 fecal samples, 32 had sequences belonging to assemblage E at all three gene loci, yielding 25 distinct assemblage E MLGs (MLG1–MLG6, MLG9–MLG27), while one sample showed mixed characteristics of assemblage A and assemblage E. The three environmental samples formed three assemblage E MLGs (MLG7–9), and the two water samples formed two assemblage E MLGs (MLG3 and MLG5) (Table 7; Fig. 3). All of the assemblages of E MLGs obtained in this study have close affinities.

Fig. 3
figure 3

Phylogenetic relationships among Giardia duodenalis MLGs. The phylogenetic tree was constructed using a concatenated dataset of bg, tpi and gdh gene sequences and neighbor-joining analysis with the Tamura-Nei model. Bootstrap values > 50% from 1000 replicates are shown at nodes. MLGs marked with black circles indicate sequences obtained from fecal samples in this study; black triangles indicate sequences obtained from environmental samples; and black diamonds indicate sequences obtained from water samples. bg, β-Giardin gene; gdh, glutamate dehydrogenase gene; MLG, multilocus genotype; tpi, triosephosphate isomerase gene

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Table 7 Multilocus sequence genotyping of Giardia duodenalis in sheep in this study using the β-giardin, glutamate dehydrogenase and triosephosphate isomerase genes
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Discussion

The prevalence of G. duodenalis infection in sheep in this study was 7.8% (48/616) by testing the bg gene. This infection rate is higher than that of sheep in Inner Mongolia (3.4%, 27/797) [26] and lower than that of sheep in Jiangsu (30.0%, 36/120) [28], but comparable to that in Xinjiang (7.5%, 24/318) [29]. The infection rate of Hu sheep in this study was found to be lower (15.2%) than that reported for Hu sheep on a sheep farm in Henan Province (17.9%, 81/474) [30]. Also, the infection rate of beach sheep in this study was observed to be 3.0%, which is lower than that reported in previous surveys in Ningxia (14.5%, 147/1014) [31]. These discrepancies indicate that sample size, sampling time and—potentially—environmental conditions may be pivotal in determining the infection rate of an animal population. Future comparisons and analyses will assist in elucidating the specific effects of these variables.

The results of this study demonstrated that the prevalence of G. duodenalis infection in sheep was significantly higher during the months of January to March (20.2%) than during the months of July to September (6.5%; P < 0.05). The analysis of environmental samples similarly revealed that the detection rate of G. duodenalis was higher during the months of January to March (3.0%) than during the months of July to September (1.0%; P > 0.05). These results may indicate that environmental factors play a role in the harborage of G. duodenalis in certain seasons [30] and suggest that seasonal variation may be an important factor regulating the dynamics of G. duodenalis infections.

Based on information in the Baidu Encyclopedia (https://baike.baidu.com/), the Henan region has a temperate monsoon climate with an annual temperature that ranges approximately from 10.5 °C to 16.7 °C and annual precipitation that ranges approximately from 407.7 to 1295.8 mm. The Ningxia region has a temperate continental climate with an annual temperature that ranges approximately from 6.3 °C to 11.4 °C and annual precipitation that ranges from 164.1 to 739.4 mm. Studies have suggested that G. duodenalis cysts may exhibit higher activity in warm and humid environments, thereby increasing the chance that they infect a host and promoting disease development [13, 33]. These factors could potentially contribute to the higher infection rate observed in sheep from large-scale farms in Henan (13.8%) compared with those in Ningxia (4.2%). Additionally, the positivity rate of G. duodenalis in environmental samples from Henan (1.9%) was higher than that in environmental samples from Ningxia (1.0%), which seems to further support the aforementioned hypothesis.

While backyard farms may pose a greater risk in terms of the transmission of wildlife-borne diseases to domestic animals, intensive farming conditions can lead to the emergence and expansion of epidemics [34]. The study conducted in Ningxia revealed a significantly higher infection rate of G. duodenalis in sheep on large-scale farms (4.2%) compared with backyard farms (0.0%; P < 0.05). Additionally, the prevalence of G. duodenalis positivity in environmental samples from large-scale sheep farms (1.0%) exceeded that in environmental samples from backyard farms (0.0%). The susceptibility of large-scale farming to epidemics may stem from the scale and density of breeding, posing greater health challenges. Large-scale sheep farms typically employ centralized manure disposal methods, which can impact the survival and transmission of intestinal parasites such as G. duodenalis. It is crucial to take this into account when assessing the potential risks associated with farms of this type.

Multiple studies have previously shown a negative correlation between the prevalence of G. duodenalis infection and age [32, 35, 36], a result that aligns with the findings of the present study. In the current study, the prevalence of G. duodenalis infection was higher in immature sheep than in adult sheep across all physiological stages except for fattening lambs. The self-limiting nature of G. duodenalis infection and the intermittent excretion of cysts may account for the lower prevalence of G. duodenalis infection in fattening lambs compared with young and weaning lambs in the current study [37, 38]. The lowest infection rate in this study was observed in late-pregnancy ewes, likely because of immune system adaptations that occur during this period to accommodate the fetus and prevent rejection [39]. These immune system changes may enhance the resistance of ewes to certain diseases in late pregnancy.

Giardia duodenalis can lead to giardiosis, which is transmitted through contact and consumption of contaminated water and soil [40]. Although the positivity rate in environmental samples in this study was only 1.5%, this rate indicates that G. duodenalis cysts are present in the buildings housing sheep and that the transmission cycle of Giardia is likely perpetuated through the feeding behavior of other sheep. Our results indicate that contamination of water by G. duodenalis is more severe than contamination of the environment, as demonstrated by a positivity rate of 23.3% in 30 samples of sheep drinking water collected from a large-scale farm in Henan Province. This finding suggests that sheep may be more susceptible to G. duodenalis infection through the drinking water route, emphasizing the need for stricter control and preventive measures to reduce the risk of infection. The presence of G. duodenalis in the feeding environment poses a health threat to sheep and could potentially lead to transmission to humans through contaminated food or water [41]. The results of this analysis indicate that biosecurity strategies should be actively pursued in large-scale sheep farms, including providing a supply of clean drinking water, optimizing sheep manure management and providing staff with the necessary health and safety training. These measures aim to reduce the spread of disease, thereby improving the health of the farming industry and indirectly protecting overall human health and reducing potential risks.

Genetic variants of G. duodenalis have been documented in sheep globally, with a total of five assemblages (A, B, C, D and E) identified so far [42,43,44]. However, in China, only three assemblages (A, B and E) have been detected in sheep [12]. The present study validates these previous findings in China, revealing only one case of assemblage A (detected via analysis of the bg gene), while the remaining cases were identified as belonging to assemblage E. Assemblage E is commonly linked to hoofed animals [45]; however, cases of human infection with assemblage E have been reported in Brazil [8], Australia [9], Egypt [46, 47] and New Zealand [48]. Sporadic reports suggest that this assemblage can infect humans, highlighting a potential zoonotic public health risk. The high prevalence of zoonotic G. duodenalis assemblages on large-scale sheep farms may indicate that sheep farms are important reservoirs of human Giardia. These findings suggest that strict hygiene practices and regular surveillance for G. duodenalis on large-scale sheep farms may be required to prevent potential outbreaks.

To obtain a more comprehensive understanding of mixed infections in sheep by different assemblages of G. duodenalis, we chose two sets of primers, specific for assemblage A and assemblage E, respectively, for amplification of the tpi gene in the current study [25]. However, no sequences of the tpi gene associated with assemblage A were acquired, indicating that mixed infections of sheep with both assemblage A and assemblage E were less common in this study than in previous studies [30]. To delve deeper into the genetic variation of assemblage E in G. duodenalis, we employed a multilocus genotyping tool to simultaneously amplify three genes in 37 samples that were positive for assemblage E based on analysis of the bg gene. A tandem sequence (bg–tpi–gdh)-based evolutionary tree was constructed, resulting in the identification of 27 new MLGs (Table 7). The findings indicate that assemblage E exhibits high subtype diversity and genetic variation.

Due to the limitations of the sampling and geographical scope (restricted to large-scale sheep farms in Henan and Ningxia), the representativeness of this study is constrained and the findings do not fully reflect the national situation. The bg locus was employed to detect G. duodenalis, and although this locus is a common occurrence, PCR efficiency may influence the accuracy of the results. To enhance understanding of the impact of this pathogen on large-scale sheep farms and public health, future studies should utilize random sampling methods and ensure broader geographic coverage. The inclusion of different seasons and different farm management practices would provide a more comprehensive understanding of G. duodenalis dynamics. In addition, incorporating advanced molecular techniques could improve detection sensitivity and provide greater insight into the epidemiology of G. duodenalis.

Conclusions

In this study, we conducted an epidemiological investigation of G. duodenalis in sheep, the environment and drinking water on selected large-scale sheep farms in Henan Province and the Ningxia Hui Autonomous Region, China. The findings reveal the widespread presence of G. duodenalis on these large-scale sheep farms. Phylogenetic analyses demonstrated a close relationship among all of the identified isolates of G. duodenalis, underscoring the importance of enhanced detection and surveillance on large-scale sheep farms. It is imperative to prioritize the maintenance of clean and hygienic sheep farming environments and drinking water to prevent environmental parasite contamination and pathogen transmission.

Future research efforts could focus on evaluating the effectiveness of specific control measures, exploring alternative approaches to parasite management and investigating the potential public health impact of G. duodenalis beyond the farm environment. By addressing these areas, we can develop more comprehensive strategies to effectively control G. duodenalis and similar pathogens.

Availability of data and materials

All data supporting the conclusions of this study are available in the manuscript. Representative nucleotide sequences from this study have been deposited in the NCBI GenBank database, with accession numbers PP934567–PP934569 for the bg gene, PP934570–PP934574 and PP507057–PP507058 for the gdh gene and PP507056 for the tpi gene.

References

  1. Adam RD. Giardia duodenalis: biology and pathogenesis. Clin Microbiol Rev. 2021;34:e0002419.

    Article  PubMed  Google Scholar 

  2. Bashar S, Das A, Erdem S, Hafeez W, Ismail R. Severe gastroenteritis from Giardia lamblia and Salmonella saintpaul co-infection causing acute renal failure. Cureus. 2022;14:e25288.

    PubMed  PubMed Central  Google Scholar 

  3. Heimer J, Staudacher O, Steiner F, Kayonga Y, Havugimana JM, Musemakweri A, et al. Age-dependent decline and association with stunting of Giardia duodenalis infection among schoolchildren in rural Huye district Rwanda. Acta Trop. 2015;145:17–22.

    Article  PubMed  Google Scholar 

  4. Nakao JH, Collier SA, Gargano JW. Giardiasis and subsequent irritable bowel syndrome: a longitudinal cohort study using health insurance data. J Infect Dis. 2017;215:798–805.

    Article  PubMed  Google Scholar 

  5. Painter JE, Collier SA, Gargano JW. Association between Giardia and arthritis or joint pain in a large health insurance cohort: could it be reactive arthritis? Epidemiol Infect. 2017;145:471–7.

    Article  CAS  PubMed  Google Scholar 

  6. Rojas-López L, Marques RC, Svärd SG. Giardia duodenalis. Trends Parasitol. 2022;38:605–6.

    Article  PubMed  Google Scholar 

  7. Soliman RH, Fuentes I, Rubio JM. Identification of a novel assemblage B subgenotype and a zoonotic assemblage C in human isolates of Giardia intestinalis in Egypt. Parasitol Int. 2011;60:507–11.

    Article  CAS  PubMed  Google Scholar 

  8. Fantinatti M, Bello AR, Fernandes O, Da-Cruz AM. Identification of Giardia lamblia assemblage E in humans points to a new anthropozoonotic cycle. J Infect Dis. 2016;214:1256–9.

    Article  PubMed  Google Scholar 

  9. Zahedi A, Field D, Ryan U. Molecular typing of Giardia duodenalis in humans in Queensland—first report of assemblage E. Parasitology. 2017;144:1154–61.

    Article  CAS  PubMed  Google Scholar 

  10. Silva ACDS, Martins FDC, Ladeia WA, Kakimori MTA, Lucas JI, Sasse JP, et al. First report of Giardia duodenalis assemblage F in humans and dogs in southern Brazil. Comp Immunol Microbiol Infect Dis. 2022;89:101878.

    Article  PubMed  Google Scholar 

  11. Gómez-Muñoz MT, Cámara-Badenes C, del Martínez-Herrero MC, Dea-Ayuela MA, Pérez-Gracia MT, Fernández-Barredo S, et al. Multilocus genotyping of Giardia duodenalis in lambs from Spain reveals a high heterogeneity. Res Vet Sci. 2012;93:836–42.

    Article  PubMed  Google Scholar 

  12. Li J, Wang H, Wang R, Zhang L. Giardia duodenalis infections in humans and other animals in China. Front Microbiol. 2017;8:2004.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Geng H-L, Yan W-L, Wang J-M, Meng J-X, Zhang M, Zhao J-X, et al. Meta-analysis of the prevalence of Giardia duodenalis in sheep and goats in China. Microb Pathog. 2023;179:106097.

    Article  PubMed  Google Scholar 

  14. Santin M. Cryptosporidium and Giardia in ruminants. Vet Clin North Am Food Anim Pract. 2020;36:223–38.

    Article  PubMed  Google Scholar 

  15. Feng Y, Xiao L. Zoonotic potential and molecular epidemiology of Giardia species and giardiasis. Clin Microbiol Rev. 2011;24:110–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Lebbad M, Mattsson JG, Christensson B, Ljungström B, Backhans A, Andersson JO, et al. From mouse to moose: multilocus genotyping of Giardia isolates from various animal species. Vet Parasitol. 2010;168:231–9.

    Article  PubMed  Google Scholar 

  17. O’Handley RM, Olson ME. Giardiasis and cryptosporidiosis in ruminants. Vet Clin North Am Food Anim Pract. 2006;22:623–43.

    Article  PubMed  Google Scholar 

  18. Almeida A, Pozio E, Cacciò SM. Genotyping of Giardia duodenalis cysts by new real-time PCR assays for detection of mixed infections in human samples. Appl Environ Microbiol. 2010;76:1895–901.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Bajer A. Cryptosporidium and Giardia spp. infections in humans, animals and the environment in Poland. Parasitol Res. 2008;104:1–17.

    Article  PubMed  Google Scholar 

  20. Lim YAL, Ahmad RA, Smith HV. Current status and future trends in Cryptosporidium and Giardia epidemiology in Malaysia. J Water Health. 2008;2008:239–54.

    Article  Google Scholar 

  21. Domenech E, Amorós I, Moreno Y, Alonso JL. Cryptosporidium and Giardia safety margin increase in leafy green vegetables irrigated with treated wastewater. Int J Hyg Environ Health. 2018;221:112–9.

    Article  PubMed  Google Scholar 

  22. Lalle M, Pozio E, Capelli G, Bruschi F, Crotti D, Cacciò SM. Genetic heterogeneity at the bata-giardin locus among human and animal isolates of Giardiaduodenalis and identification of potentially zoonotic subgenotypes. Int J Parasitol. 2005;35:207–13.

    Article  CAS  PubMed  Google Scholar 

  23. Read CM, Monis PT, Andrew Thompson RC. Discrimination of all genotypes of Giardia duodenalis at the glutamate dehydrogenase locus using PCR-RFLP. Infect Genet Evol. 2004;4:125–30.

    Article  CAS  PubMed  Google Scholar 

  24. Sulaiman IM, Fayer R, Bern C, Gilman RH, Trout JM, Schantz PM, et al. Triosephosphate isomerase gene characterization and potential zoonotic transmission of Giardia duodenalis. Emerg Infect Dis. 2003;9:1444–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Geurden T, Geldhof P, Levecke B, Martens C, Berkvens D, Casaert S, et al. Mixed Giardia duodenalis assemblage A and E infections in calves. Int J Parasitol. 2008;38:259–64.

    Article  CAS  PubMed  Google Scholar 

  26. Fu Y, Dong H, Bian X, Qin Z, Han H, Lang J, et al. Molecular characterizations of Giardia duodenalis based on multilocus genotyping in sheep, goats, and beef cattle in Southwest Inner Mongolia China. Parasite. 2022;29:33.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Qi M, Wang H, Jing B, Wang R, Jian F, Ning C, et al. Prevalence and multilocus genotyping of Giardia duodenalis in dairy calves in Xinjiang Northwestern China. Parasit Vectors. 2016;9:546.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Wang P, Zheng L, Liu L, Yu F, Jian Y, Wang R, et al. Genotyping of Cryptosporidium spp., Giardia duodenalis and Enterocytozoon bieneusi from sheep and goats in China. BMC Vet Res. 2022;18:361.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Qi M, Zhang Z, Zhao A, Jing B, Guan G, Luo J, et al. Distribution and molecular characterization of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi amongst grazing adult sheep in Xinjiang China. Parasitol Int. 2019;71:80–6.

    Article  PubMed  Google Scholar 

  30. Zhao Q, Lu C, Pei Z, Gong P, Li J, Jian F, et al. Giardia duodenalis in Hu sheep: occurrence and environmental contamination on large-scale housing farms. Parasite. 2023;30:2.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Peng J-J, Zou Y, Li Z-X, Liang Q-L, Song H-Y, Li T-S, et al. Prevalence and multilocus genotyping of Giardia duodenalis in Tan sheep (Ovis aries) in northwestern China. Parasitol Int. 2020;77:102126.

    Article  CAS  PubMed  Google Scholar 

  32. Chen D, Zou Y, Li Z, Wang S-S, Xie S-C, Shi L-Q, et al. Occurrence and multilocus genotyping of Giardia duodenalis in black-boned sheep and goats in southwestern China. Parasit Vectors. 2019;12:102.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Tangtrongsup S, Scorza AV, Reif JS, Ballweber LR, Lappin MR, Salman MD. Seasonal distributions and other risk factors for Giardia duodenalis and Cryptosporidium spp. infections in dogs and cats in Chiang Mai Thailand. Prev Vet Med. 2020;174:104820.

    Article  PubMed  Google Scholar 

  34. Espinosa R, Tago D, Treich N. Infectious diseases and meat production. Environ Resour Econ. 2020;76:1019–44.

    Article  Google Scholar 

  35. Wang H, Qi M, Zhang K, Li J, Huang J, Ning C, et al. Prevalence and genotyping of Giardia duodenalis isolated from sheep in Henan Province, central China. Infect Genet Evol. 2016;39:330–5.

    Article  CAS  PubMed  Google Scholar 

  36. Zhang W, Zhang X, Wang R, Liu A, Shen Y, Ling H, et al. Genetic characterizations of Giardia duodenalis in sheep and goats in Heilongjiang Province, China and possibility of zoonotic transmission. PLoS Negl Trop Dis. 2012;6:e1826.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Halliez MCM, Buret AG. Extra-intestinal and long term consequences of Giardia duodenalis infections. World J Gastroenterol. 2013;19:8974–85.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Robertson LJ, Hanevik K, Escobedo AA, Mørch K, Langeland N. Giardiasis–why do the symptoms sometimes never stop? Trends Parasitol. 2010;26:75–82.

    Article  PubMed  Google Scholar 

  39. Kraus TA, Engel SM, Sperling RS, Kellerman L, Lo Y, Wallenstein S, et al. Characterizing the pregnancy immune phenotype: results of the viral immunity and pregnancy (VIP) study. J Clin Immunol. 2012;32:300–11.

    Article  CAS  PubMed  Google Scholar 

  40. Salamandane C, Lobo ML, Afonso S, Miambo R, Matos O. Occurrence of intestinal parasites of public health significance in fresh horticultural products sold in maputo markets and supermarkets Mozambique. Microorganisms. 2021;9:1806.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Dixon BR. Giardia duodenalis in humans and animals—transmission and disease. Res Vet Sci. 2021;135:283–9.

    Article  CAS  PubMed  Google Scholar 

  42. Faridi A, Tavakoli Kareshk A, Sadooghian S, Firouzeh N. Frequency of different genotypes of Giardia duodenalis in slaughtered sheep and goat in east of iran. J Parasit Dis. 2020;44:618–24.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Sahraoui L, Thomas M, Chevillot A, Mammeri M, Polack B, Vallée I, et al. Molecular characterization of zoonotic Cryptosporidium spp. and Giardia duodenalis pathogens in Algerian sheep. Vet Parasitol Reg Stud Rep. 2019;16:100280.

    Google Scholar 

  44. Aslan Çelik B, Çelik ÖY, Ayan A, Orunç Kılınç Ö, Akyıldız G, İrak K, et al. Occurence and genotype distributionof Cryptosporidium spp., and Giardia duodenalis in sheep in Siirt. Turkey Pol J Vet Sci. 2023;26:359–66.

    Article  PubMed  Google Scholar 

  45. Helmy YA, Klotz C, Wilking H, Krücken J, Nöckler K, Von Samson-Himmelstjerna G, et al. Epidemiology of Giardia duodenalis infection in ruminant livestock and children in the Ismailia province of Egypt: insights by genetic characterization. Parasit Vectors. 2014;7:321.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Abdel-Moein KA, Saeed H. The zoonotic potential of Giardia intestinalis assemblage E in rural settings. Parasitol Res. 2016;115:3197–202.

    Article  PubMed  Google Scholar 

  47. Foronda P, Bargues MD, Abreu-Acosta N, Periago MV, Valero MA, Valladares B, et al. Identification of genotypes of Giardia intestinalis of human isolates in Egypt. Parasitol Res. 2008;103:1177–81.

    Article  CAS  PubMed  Google Scholar 

  48. Garcia-R JC, Ogbuigwe P, Pita AB, Velathanthiri N, Knox MA, Biggs PJ, et al. First report of novel assemblages and mixed infections of Giardia duodenalis in human isolates from New Zealand. Acta Trop. 2021;220:105969.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We thank Liwen Bianji (Edanz) (www.liwenbianji.cn) for editing the language of a draft of this manuscript.

Funding

This research was partially funded by the Key Research and Development Projects of Henan, China (231111111600), and the China Agriculture Research System of MOF and MARA (Grant No. CARS-38).

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Authors and Affiliations

  1. College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, Henan, People’s Republic of China

    Qianming Zhao, Fuchun Jian, Dongliang Li, Jiashu Lang, Shunli Lu & Changshen Ning

  2. Henan Vocational College of Applied Technology, Zhengzhou, 450042, Henan, People’s Republic of China

    Xiaodong Ning

  3. Henan Anjin Biotechnology CO., LTD, Zhengzhou, 450011, Henan, People’s Republic of China

    Zhiguang Yue

Authors
  1. Qianming Zhao
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  2. Xiaodong Ning
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  3. Zhiguang Yue
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Contributions

CSN conceptualized and designed the study, critically reviewed the manuscript and contributed to its editing. QMZ was responsible for conducting the experiment, data analysis and manuscript drafting. XDN, ZGY, FCJ and DLL contributed to sample collection. JSL and SLL provided assistance in implementing the study. All authors participated in manuscript review and approved the final version.

Corresponding author

Correspondence to Changshen Ning.

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Ethics approval and consent to participate

This study was conducted in accordance with the Chinese Laboratory Animal Administration Act (1988) after undergoing review and receiving approval for its protocol from the Research Ethics Committee of Henan Agricultural University (Approval No. HNND2021020101). Appropriate permission was obtained from the animal owners before the collection of fecal samples.

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Zhao, Q., Ning, X., Yue, Z. et al. Unveiling the presence and genotypic diversity of Giardia duodenalis on large-scale sheep farms: insights from the Henan and Ningxia Regions, China. Parasites Vectors 17, 312 (2024). https://doi.org/10.1186/s13071-024-06390-7

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Keywords

Parasites & Vectors

ISSN: 1756-3305

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