Epidemiological Exploration of Cryptosporidium spp., Giardia intestinalis, Enterocytozoon bieneusi, and Blastocystis spp. in Yaks: Investigating Ecological and Zoonotic Dynamics in Lhasa, Xizang
Yaru Ji, Munwar Ali, Chang Xu, Jia Wang, Md. F. Kulyar, Shah Nawaz, Khalid Mehmood, Mingming Liu, Kun Li

TL;DR
This study investigates the prevalence of four protozoan parasites in yaks from Lhasa, Xizang, to understand their impact and support better control measures.
Contribution
The study provides the first detailed prevalence data of four zoonotic protozoan parasites in yaks across multiple regions in Lhasa.
Findings
Cryptosporidium spp. prevalence ranged from 48.5% to 65.2% across the three regions.
Blastocystis spp. showed the highest prevalence, reaching up to 90.7% in Linzhou County.
The study highlights the need for targeted prevention and control strategies for yak parasites in Lhasa.
Abstract
Protozoan parasites are essential in the livestock industry globally, especially in yaks, because of their grazing-based feeding model. However, the exact prevalence of these protozoan parasites is still unknown. In the given study, 377 yak fecal samples were collected from three regions in Lhasa: Linzhou, Dangxiong, and Nimu County. The prime concerns of this study were to estimate the prevalence of Cryptosporidium spp., Giardia intestinalis (G. intestinalis), Enterocytozoon bieneusi (E. bieneusi), and Blastocystis spp. in the given samples and assess the prevalence of these parasites in these three regions to identify their exact share in the overall global prevalence of these four protozoal parasites. The results demonstrated that the prevalence of Cryptosporidium spp., G. intestinalis, E. bieneusi, and Blastocystis spp. in Linzhou County was 48.5, 22.9, 47.8, and 90.7%; 65.2, 13.6,…
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Figure 7- —National Natural Science Foundation of China
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Taxonomy
TopicsParasitic Infections and Diagnostics · Amoebic Infections and Treatments · Parasitic infections in humans and animals
1. Introduction
Parasitic diseases are a major hurdle to animal production [1,2], especially for yaks [3], because of their exposure to diverse environmental conditions. Yaks are mammals of the family Bovidae, mainly distributed in the high-altitude areas of the Qinghai Tibet Plateau and its surroundings above 3000 m in China [4,5]. About 16 million domestic yaks and 15–20 thousand wild yaks are present, of which about 95% are in the rangelands of China, being a first-class protected animal in China among the top endangered species [6,7,8]. Yak is known as the “boat of the plateau”, an important animal for the local population, as its fur can be used in the textile industry to make tents, its hide is used in the leather industry, and its dung is used as fuel for Tibetan herders; yaks produce approximately 147.6–487.2 kg fresh milk per lactation [5], providing the local population with more than 90% of the milk and milk products and 50% of the total meat required [9]. That’s why losses due to parasitic diseases not only affect the bovine industry but also have a significant impact on people’s lives [1,10].
Parasites, such as Cryptosporidium spp., G. intestinalis, Blastocystis spp., and E. bieneusi, have been detected in a variety of animals, like cattle, sheep, goats, pigs, alpaca, horses, rabbits, dogs, cats, humans, and birds, with varying prevalence in different regions [11,12,13,14,15]. Transmission occurs via the fecal–oral route through direct contact with infected individuals, contaminated water, or feed/food resources [16,17]. About 42 species of Cryptosporidium, 8 assemblages (A–H) of G. duodenalis [16,17], 11 major groups of E. bieneusi genotypes, and different genotypes of Blastocystis based on phylogenetic analyses have been detected in different animals [18,19], necessitating the estimation of their true prevalence.
Cryptosporidiosis is a proto-zoonotic disease and a significant cause of morbidity and mortality in pre-weaned cattle calves (associated estimated cost at £34 per affected calf, excluding labor costs), lambs (weight reduction: about 2.6 kg at slaughter compared to uninfected counterparts), and 1–2-month-old yaks [20,21]. Previous studies have also indicated a prevalence of Cryptosporidium spp. in yaks, Tibetan sheep, and camels within the range of 2.0–15.0%, and it has also been detected in various animals in Qinghai [22,23,24]. In Naqu, China, the prevalence of C. parvum was found to be 9.1–16.7%, respectively [25].
Cryptosporidium spp. have been detected in various animals, like yaks; similarly, E. bieneusi is another fungus that has been found in cattle, calves, and yaks [26,27]. Although it is found to be pathogenic in immunocompromised individuals, no definitive pieces of evidence of disease or mortality have been found in bovids. Its prevalence in these hosts highlights its zoonotic potential and ecological significance, being found in soil, water sources, and animal feces [21,22]. Blastocystis spp. have been detected in various animals, e.g., from two French zoos [28], Southeast Asian animals [29], and livestock, pets, and zoo animals in Japan [30]. Similarly, G. intestinalis, another zoonotic protozoan parasite that primarily infects the small intestine, has been detected in pigs [31,32], dairy cattle [33], and 1–2-month-old highland yaks (as a combined infection with Cryptosporidium spp.) [23]. The infection rate of yaks infected with G. intestinalis varies, with 6.00% [28], 1.92% [29], 10.4% [30], etc. In addition, the case prevalence of Blastocystis spp. up to 44.1% has been reported in pigs [25,34,35], but data regarding yaks is still insufficient.
Our research mainly investigates the prevalence of four protozoan parasites in yaks with three different age groups experiencing different feeding models (e.g., grazing, house-fed) in three distinct regions in Lhasa and Xizang. After molecular epidemiological investigations of these parasites, researchers can better direct future preventive and control strategies.
2. Materials and Methods
2.1. Collection of Fecal Samples
During April 2023, a total of 377 fecal samples were collected from ranches in Linzhou County, Dangxiong County, and Nimu County, Lhasa City, Tibet Autonomous Region, China, at an average altitude of about 4200 m and an average annual temperature of 7.5 °C (Figure 1 and Table 1). The number of yaks in each pasture was different. In Linzhou County, there were 161 yaks, including 40 yak calves, 76 yaks aged 1–2 years, 38 adult yaks, and 7 grazing yaks. There were 66 yaks in Dangxiong County (age and feeding method unknown). There were 150 yaks (age unknown) in Nimu County, including 78 captive yaks and 72 grazing yaks. Yaks were of the same breed and very healthy. No use of antibiotics was recorded, and no intervention was made except for the fecal collection. After collection with sterile cotton swabs, the fresh rectal samples were subsampled (about 5 g) from the middle to avoid contamination with flooring and bedding. After that, the samples were put in frozen storage tubes, rapidly frozen with liquid nitrogen, and transported to the Veterinary Laboratory of Nanjing Agricultural University for further analysis. After careful transportation, the samples were placed at −80 °C in the laboratory to further study the prevalence of four protozoan parasites.
2.2. Ethical Statement
The experiments with yaks were conducted after approval from the Animal Welfare Committee on the Ethics of Animal Care and Use, Nanjing Agricultural University (NJAU.No.20230413054).
2.3. Total DNA Extraction
All collected fecal samples’ total genomic DNA (gDNA) was extracted using a commercial DNA extraction kit (Item ID: D2100, Solarbio Science & Technology Co., Ltd., Beijing, China). Following the manufacturer’s recommended procedure, genomic DNA was extracted from 0.2 g of feces using a fecal DNA kit and stored at −20 °C before further investigation.
2.4. Gene Amplification and DNA Electrophoresis
The detection of parasites’ DNA was performed using PCR technology to amplify the 18S SSU rRNA genes of G. intestinalis, Cryptosporidium spp., and Blastocystis spp., as well as the ITS genes of E. bieneusi. Among them, Cryptosporidium spp., G. intestinalis, and E. bieneusi used nested PCR, and Blastocystis spp. used endpoint PCR. The primer pairs used in this study were guided by established results [36,37,38,39] (Table 1). The primers Bs-RD5-F/Bs-BhRDr-R are commonly used to detect Blastocystis spp. by targeting the SSU rRNA gene.
While these primers have been validated for specificity in various studies, there is a theoretical risk of false positives due to dietary or environmental contaminants. However, negative controls have shown no amplification, suggesting minimal cross-reactivity with host DNA [39,40,41].
The PCR reaction mixture for each amplification reaction consisted of 12.5 μL PCR Mix (which also contains Taq DNA polymerase; 1 unit/25 µL of the reaction mixture, which is essential for amplification, dNTPs, and buffer) Item ID: AG11009, Aikerui Biotechnology Co., Ltd., China, Hunan), 1 μL DNA (50–100 ng/μL), 1.0 μL forward and reverse primers (10 Μm), and 9.5 μL high-pressure distilled water, with a total reaction volume of 25 μL. Among them, CK was tested using 1 μL of high-pressure distilled water as a substitute for template DNA. PCR amplification consisted of 35 PCR cycles, with each cycle having an initial pre-denaturation temperature of 95 °C for 5 min (this was required once at the start of the reaction); the denaturation temperature was 95 °C for 15 s; the primer annealing temperature (Tm) is given in Table 1 and was applied for 15 s; and extended at 72 °C for 45 s. The final extension was at 72 °C for 10 min, and finally, it was stored at 4 °C. Then, all PCR products were detected by 2% agarose gel electrophoresis.
2.5. Sequencing Procedure and Phylogenetic Analysis
All PCR-positive samples (confirmed from gel electrophoresis) were sent to Bioengineering Co., Ltd. (Nanjing, China) for bidirectional gene sequencing. Firstly, multiple sequence alignment was performed between the SSU rRNA of yak isolates and the reference gene of the SSU rRNA of the genus Cryptosporidium in the NCBI database to identify/download closely matched sequences (≥95% identity). Secondly, multiple sequence alignment was performed with the reference genes of SSU rRNA in the NCBI database for the genus Blastocystis. The phylogenetic relationship between yak isolates and reference strains was analyzed using MEGA X (10.1.7) to infer the evolutionary relationships among species regarding the protozoan parasites under study, and the distance was calculated using the adjacency method (NJ). After being guided 1000 times, the stability of the branches in the phylogenetic tree was evaluated. The PCR assays employed in this study were highly sensitive, with a detection limit of 1–10 parasites per reaction, as demonstrated in previous research targeting Cryptosporidium, Giardia, Cyclospora, and Dientamoeba species [42]. Such sensitivity ensures reliable detection of protozoan DNA even from 0.2 g of fecal material, showing superior sensitivity compared to microscopy, supporting the robustness of our detection approach. Additionally, the combination of optimized DNA extraction protocols using 0.2 g stool samples [43,44] and sensitive PCR assays mitigates the risk associated with limited fecal sample size, allowing accurate prevalence estimation.
2.6. Statistical Analysis
GraphPad Prism (v8.0.2) software was used to analyze the differences in the prevalence of four parasites among yaks in different places and feeding models (house fed and grazing), with a p-value < 0.05 considered statistically significant.
3. Results
3.1. Infection Status of Yaks Against Four Types of Parasites
The PCR amplification (positive) results of SSU rRNA and ITS genes of four parasites from three different regions (Linzhou, Dangxiong, and Nimu Counties) are shown in Figure 2 (detailed data are given as Supplementary Materials).
Among 377 yak fecal samples, 161 were from yak farms in Linzhou County, 66 from yak farms in Dangxiong County, and 150 from yak farms in Nimu County. The total prevalence of all samples infected with Cryptosporidium spp., G. intestinalis, E. bieneusi, and Blastocystis spp. was found to be 54.4, 23.9, 56.2, and 85.9%, respectively (Table 2).
Out of 161 yak fecal samples from the yak farms in Linzhou County, in total, 78 yaks (48.5%) were found to be positive for Cryptosporidium spp., 37 yaks (22.9.0%) tested positive for G. intestinalis, 77 yaks (47.8%) were identified as positive for E. bieneusi, and 146 yaks (90.7%) tested positive for Blastocystis spp. The yaks were further divided into 154 captives and 7 grazing yaks. The captive yaks were further divided into yak calves (40), adult yaks (38), and 1–2-year-old yaks (76). The prevalence of Cryptosporidium spp., G. intestinalis, E. bieneusi, and Blastocystis spp. in yak calves was found to be 57.5 (23 specimens), 0.0, 22.5 (9 specimens), and 95.0% (38 specimens), respectively, while in adult yaks, it was found to be 31.6 (12 specimens), 0.0, 26.3 (10 specimens), and 86.8% (33 specimens), respectively. The prevalence in 1–2-year-old yaks was detected to be 56.6 (43 specimens), 47.4 (36 specimens), 67.1 (51 specimens), and 98.7% (75 specimens), while in grazing yaks, it was 0.0, 14.3 (1 specimens), 100.0 (7 specimens), and 0.0% (Table 3).
Through fecal testing in Linzhou County, the combined infection of Cryptosporidium spp. + G. intestinalis + Blastocystis spp. + E. bieneusi was found to be 17.1% (13 specimens) in 1–2-year-old yaks (Figure 3).
Out of 66 yak fecal samples from the yak farms in Dangxiong County, a total of 43 yaks (65.2%) were identified as positive for Cryptosporidium spp., 9 yaks (13.6%) tested positive for G. intestinalis, 48 yaks (72.7%) were found to be positive for E. bieneusi, and 58 yaks (87.9%) tested positive for Blastocystis spp. In Dangxiong County, the prevalence of mixed infection with three types of parasites ranged from 6.1 to 51.5%, and that of the combined prevalence of Cryptosporidium spp. + G. intestinalis + Blastocystis spp. + E. bieneusi was 6.1% (4 specimens) (Table 2).
Out of 150 yak fecal samples from Nimu County yak farms, a total of 84 yaks (56.0%) tested positive for Cryptosporidium spp., 44 yaks (29.3%) were identified as positive for G. intestinalis, 87 yaks (58.0%) were recognized as positive for E. bieneusi, and 120 yaks (80.0%) were found to be positive for Blastocystis spp. The Nimu County yak farms had 78 captive and 72 grazing yaks. The prevalence of Cryptosporidium spp., G. intestinalis, E. bieneusi, and Blastocystis spp. in captive yaks in Nimu County was 53.9 (42 specimens), 55.1 (43 specimens), 48.7 (38 specimens), and 98.7% (77 specimens), respectively; while in grazing yaks in Nimu County, it was 58.3 (42 specimens), 1.4 (1 specimens), 68.1 (49 specimens), and 59.7% (43 specimens), respectively (Table 4).
In Nimu County, the prevalence of three species (mixed infection) was 9.3–27.3% (Table 2). On the other hand, the prevalence of combined infection of Cryptosporidium spp. + G. intestinalis + Blastocystis spp. + E. bieneusi was detected to be 1.4 (1 specimen) and 16.7% (13 specimens) in captive and grazing yaks, respectively (Table 4, Figure 4).
3.2. The Multiregional Difference in Prevalence Among Yaks
Among all samples, the highest prevalence of Blastocystis spp. infection was 85.9%; the highest prevalence of dual infection with E. bieneusi and Blastocystis spp. was 49.6%, while the maximum prevalence of mixed Cryptosporidium spp. + E. bieneusi + Blastocystis spp. infections were 8.2% (Table 2).
As shown in Table 2, among Linzhou, Dangxiong, and Nimu Counties, the prevalence of Blastocystis spp. alone was the highest, with a prevalence of 90.7, 87.9, and 80.0%; G. intestinalis showed the lowest prevalence of 22.9, 13.6, and 29.3% in Linzhou, Dangxiong, and Nimu Counties, respectively. Among the two types of parasites infected, the combined prevalence of Cryptosporidium spp.+* Blastocystis* spp. in Linzhou yaks and Nimu yaks was the highest, with 47.2% and 47.3%, respectively. However, the mixed prevalence of E. bieneusi + Blastocystis spp. in Dangxiong County yaks was the highest, with a prevalence of 72.7%. The prevalence of combined infection of Cryptosporidium spp. + G. intestinalis + E. bieneusi + Blastocystis spp. was found to be 8.1, 6.1, and 9.3% in Linzhou, Dangxiong, and Nimu Counties, respectively (Table 2). In each region, there was a significant difference between Cryptosporidium spp. and G. intestinalis (p = 0.0163), between Cryptosporidium spp. and E. bieneusi (p = 0.0319), between G. intestinalis and E. bieneusi (p = 0.0110), G. intestinalis and Blastocystis spp. (p = 0.0007), and between E. bieneusi and Blastocystis spp. (p = 0.0494; Figure 5).
3.3. Multiple Alignment and Phylogenetic Analysis of Different Gene Sequences
Among all parasite-positive samples, 13 samples were sequenced and stored in GenBank. Among them, one strain of Cryptosporidium spp. was isolated from yak calves in Linzhou County (PP439628), and 5 strains of Cryptosporidium spp. were isolated from 1–2-year-old yaks in Linzhou County (PP439657, PP439658, PP439660, PP439661, and PP439663). There were 2 strains (PP439445 and PP439446) of Blastocystis spp. isolated from grazing yaks in Nimu County, and 5 strains (PP439494, PP439495, PP439497, PP439499, and PP439500) of Blastocystis spp. were isolated from 1–2-year-old yaks in Linzhou County.
To accurately identify these isolates and assess their genetic relationships, phylogenetic trees were constructed using MEGA X (version 10.1.7). The resulting tree displays both branching patterns and branch lengths proportional to evolutionary divergence among taxa; the branch lengths are proportional to the number of nucleotide substitutions per site. For Cryptosporidium spp., the sequence “HQ149023.1” served as an outgroup to root the tree, providing a reference point for interpreting evolutionary divergence within the ingroup taxa. Similarly, for Blastocystis spp., “OR916317.2” served as the outgroup.
Each sequence was annotated with its GenBank accession number, host species (e.g., yak), and geographic origin (e.g., China). The Cryptosporidium phylogeny revealed three distinct clades corresponding to C. bovis, C. ryanae, and C. baileyi. The clustering of sequences from yaks and calves within these clades suggests host-specific adaptations or geographic structuring. The results indicate that regarding Cryptosporidium spp., the homology of PP439628, PP439657, PP439660, PP439658, PP439661, and PP439663 strains with previous isolates was 99.0–99.9, 99.6–99.7, 99.6–99.9, 99.6–99.7, and 99.7–99.9%, respectively, confirming the high genetic similarity and validating species identification (Figure 6).
The phylogenetic analysis of Cryptosporidium isolates (Figure 6) underscored that sequences clustered distinctly according to Cryptosporidium species, as expected. However, no clear clustering was observed based on the geographical origin (Linzhou, Dangxiong, Nimu) or specific animal subgroups. This indicates that the distribution of Cryptosporidium species in yaks across the sampled regions is relatively homogeneous, at least for the loci analyzed.
Regarding Blastocystis spp., it was indicated that the homology of PP439445, PP439446, PP439494, PP439495, PP439497, PP439499, and PP439500 with previous isolates was 97.7–99.8, 97.1–99.7, 97.2–98.5, 98.7–99.6, 98.0–99.9, 98.9–99.8, and 98.0–99.7%, respectively. The sequence “OR916317.2” appears to act as an outgroup, rooting the tree and providing a reference point for interpreting evolutionary divergence among the ingroup taxa. The sequences represent diverse geographic origins, including China, the USA, Turkey, France, and the UK, highlighting the widespread distribution and potential for cross-regional transmission (Figure 7). Hence, the phylogenetic tree served a critical role in this study by enabling precise molecular identification of parasite species and subspecies, which is essential for understanding their epidemiology, host specificity, and potential zoonotic risks. Furthermore, the observed genetic diversity and clustering patterns provide valuable insights into the evolutionary relationships and transition dynamics of these protozoan parasites’ population.
4. Discussion
Most yaks solely depend upon grazing grasslands throughout the year, generally without any supplementation, and often face a negative energy balance in winter due to less availability of seasonal forages, so a decrease of 25–30% of their body weight, or even more, occurs in winter [45]. That is why sample collection was conducted in April, when the Plateau animals have sufficient food and water, compared to winter (November to March) when these animals undergo starvation and face bitter cold. Hence, the parasitic load can increase, leading to false overestimation of the parasites’ prevalence, e.g., Cryptosporidium, G. intestinalis, Blastocystis spp., and E. bieneusi [46].
Cryptosporidium spp. can cause zoonotic diseases, leading to severe health and safety issues, and currently, there is no available vaccine [17]. According to previous reports, in dairy cattle, the prevalence in the Gansu region was 4.2% [47], while in calves, it was estimated to be 26.5% in Taiwan [48], and yaks under two years were found with an 18.2% prevalence in the Nagqu region [25]. In the current study, the prevalence of Cryptosporidium spp. in three areas ranged from 48.5 to 65.2% (Table 2). Among them, in Linzhou County, captive yaks have a higher prevalence of Cryptosporidium spp. than grazing yaks. Differences in water resources, food, environmental factors, animal density, etc., may be the factors for this difference in prevalence. In captive yaks, it was observed that the prevalence of Cryptosporidium spp. was higher in yaks under the age of 2 years than in adult yaks (Figure 3), which may be due to the variations in immune response and density of yaks. In another study, the prevalence of Cryptosporidium was found to be age-dependent at 49.3% in calves after weaning, 31.7% in 1-year-olds, and 17.4% in mature ones. Overall, 57.1% of yaks were affected with C. bovis, 33.7% with C. range, 2.0% with C. andersoni, 1.0% with C. ubiquitum, 1.0% with C. xiaoi, 2.0% having a novel genotype, and 3.1% having combined infections of C. ryanae and C. bovis. During this, a new novel Cryptosporidium genotype was detected in the yaks and temporarily named the Cryptosporidium yak genotype [49].
In a recent meta-analysis regarding the prevalence of Cryptosporidium spp. in yaks, it was found to be 13.5% in northwestern and 4.5% in southwestern China. The prevalence in temporal areas before 2012 was 19.8% and was recorded as more than 6.1% after 2012 [50]. The prevalence of Cryptosporidium spp. in winter (20.6%) was higher than in summer (4.8%). Considering age, the yaks aged < 1-year-old had increased prevalence (19.5%) compared to yaks aged ≥ 1 year (16.6%). Additionally, C. bovis was found to be highly prevalent. Other factors like geographical conditions (longitude, latitude, temperature, altitude, and precipitation) affect the prevalence of Cryptosporidium in yaks [50].
The prevalence of G. intestinalis has continuously increased in ruminants and other farm animals [51,52,53] in recent years. The present research estimated the prevalence in the three regions was 22.9, 13.6, and 29.3%, respectively. The prevalence was higher in Nimu County. Similarly, in the Tibetan Plateau Area, Wang et al. [54] have found that the estimated percentage of cases of G. intestinalis after investigating 297 samples was 5.0% (15/297) using light microscopic analysis, 6.1% (18/297) using immunofluorescence test (IFT), and was 5.4% (16/297) after performing nested PCR. The average prevalence with the three methods was 5.5% [54].
Enterocytozoon bieneusi is also an important zoonotic parasite [39], with prevalence of 47.8, 72.7, and 58.0% in the three regions in the present study. The prevalence in Dangxiong County was significantly higher than that of the other two regions. A similar study was performed by Zhang et al. [55], where seven E. bieneusi genotypes were detected in yaks, with five known ones (COS-I, J, BEB4, NESH5, and BEB6) and two novel ones (CHN14 and CHN13), and 7.2% of yaks were positive for this protozoan parasite [55]. Blastocystis is another important zoonotic intestinal parasite, with cattle, goats, pigs, deer, sheep, and other animals being its hosts, with prevalence ranging from 14.43 to 100%. Among them, cattle and pigs have a higher prevalence [29]. In the given experiment, the prevalence of Blastocystis spp. was high in all three regions, higher than that of Cryptosporidium spp., with a prevalence of 90.7, 87.9, and 80.0%, respectively. From Linzhou County and Nimu County, the prevalence of Blastocystis spp. in captive yaks was higher than in grazing yaks (Figure 3 and Figure 4), possibly due to different environmental hygiene, dietary conditions, and other factors. In addition, this study found that the prevalence of these four protozoan parasitic infections among infected yaks from different regions differed significantly (Table 2, Figure 5). The difference in prevalence compared to previous studies may be due to other geographical locations, climatic environments, animal density, sample size, and feeding methods [25]. After infection in yaks, pathogens are excreted through the fecal–oral route, and contaminated water and food are transmitted to other livestock or herders [27,56].
In the present study, phylogenetic testing indicated that Cryptosporidium isolates from yaks clustered according to species, in alignment with the established results [57]. However, in the current research, no distinct clustering by geographical locations or animal subgroups was detected. This absence of geographic or host-associated clustering may point out a widespread distribution of Cryptosporidium spp. among yak populations in Lhasa, possibly as a result of animal movement, common water sources, or other external factors, facilitating gene flow [58,59]. Alternatively, the genetic markers used (e.g., 18S rRNA) may provide insufficient details to detect fine-scale population structure [58]. Similar results have been reported in other studies of Cryptosporidium spp. in animals, where high genetic similarity was observed across wide geographical locations [57,59]. Future studies with higher-resolution markers or whole-genome sequencing can lead to the detection of subtle epidemiological patterns.
Yaks can withstand temperature extremes and low oxygen tension because they evolved after intense natural selection regarding their morphology, physiology, and metabolic needs. However, the illness of yaks affects the quality of human life and causes economic losses to the animal husbandry industry [9]. That is why parasitic infections are one of the global issues in both public health and livestock sectors, especially in remote and resource-scarce areas where infections are most likely to occur [49]. So, the current study investigated the prevalence of zoonotic parasites in remote areas. Monitoring the prevalence of infectious pathogens in livestock regarding specific regions, climates, feeding models, and age groups of yaks is very important to formulate effective prevention and control strategies. These strategies include (1) enhanced sanitation protocols for captive yaks to disrupt fecal-oral transmission cycles, (2) rotational grazing systems to reduce environmental contamination in pastures, (3) targeted monitoring of 1–2-year-old yaks, which showed heightened susceptibility to Cryptosporidium spp. and E. bieneusi, and (4) judicious use of antiparasitics, such as nitazoxanide (for cryptosporidiosis) and albendazole (for giardiasis), although efficacy remains partial and resistance risks necessitate genotype-guided dosing.
This study’s limitations include the lack of zoonotic potential evaluation and Cryptosporidium genotyping, hindering public health risk assessment. While the primers used for Blastocystis detection are generally specific, the potential for dietary or environmental contamination and the low sequencing rate introduce uncertainty and limit subtype resolution. Future studies should include a positive control and should prioritize sequencing all PCR-positive samples to assess genetic diversity and confirm host specificity, along with prioritizing genotyping, longitudinal studies on seasonal parasite fluctuations, One Health approaches, and tailored antiparasitic treatments for yaks in high-altitude regions, expanding investigations beyond Lhasa.
5. Conclusions
This study reports the epidemiological distribution of four important zoonotic parasites in yaks in a particular environment. The results estimated the average prevalence of Cryptosporidium spp. (56.5%), Giardia intestinalis (22.0%), E. bieneusi (59.5%), and Blastocystis spp. (86.2%) in three different regions, providing a reference for prevention strategies for these four zoonotic protozoan parasites in specific environmental conditions to reduce their prevalence.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Kaminsky R. Mäser P. Global Impact of Parasitic Infections and the Importance of Parasite Control Front. Parasitol.20254154619510.3389/fpara.2025.154619540129690 PMC 11931396 · doi ↗ · pubmed ↗
- 2Hijjawi N. Zahedi A. Al-Falah M. Ryan U. A Review of the Molecular Epidemiology of Cryptosporidium spp. and Giardia duodenalis in the Middle East and North Africa (MENA) Region Infect. Genet. Evol.20229810521210.1016/j.meegid.2022.10521235065302 · doi ↗ · pubmed ↗
- 3Qin S.-Y. Yin M.-Y. Song G.-Y. Tan Q.-D. Wang J.-L. Zhou D.-H. Prevalence of Gastrointestinal Parasites in Free-Range Yaks (Bos grunniens) in Gansu Province, Northwest China BMC Vet. Res.20191541010.1186/s 12917-019-2101-831730490 PMC 6858757 · doi ↗ · pubmed ↗
- 4Cidan Y. Lu S. Wang H. Wang J. Ali M. Fouad D. Ataya F.S. Zhu Y. Basang W. Li K. Comparative Analysis of Microbiota in Jiani Yaks with Different Rib Structures Life 202414145810.3390/life 1411145839598256 PMC 11595415 · doi ↗ · pubmed ↗
- 5Li K. Gao J. Shahzad M. Han Z. Nabi F. Liu M. Zhang D. Li J. Seroprevalence of Toxoplasma gondii Infection in Yaks (Bos grunniens) on the Qinghai-Tibetan Plateau of China Vet. Parasitol.201420535435610.1016/j.vetpar.2014.07.01425085769 · doi ↗ · pubmed ↗
- 6Wang H. Chai Z. Hu D. Ji Q. Xin J. Zhang C. Zhong J. A Global Analysis of CN Vs in Diverse Yak Populations Using Whole-Genome Resequencing BMC Genom.2019206110.1186/s 12864-019-5451-5PMC 633934330658572 · doi ↗ · pubmed ↗
- 7Joshi S. Shrestha L. Bisht N. Wu N. Ismail M. Dorji T. Dangol G. Long R. Ethnic and Cultural Diversity amongst Yak Herding Communities in the Asian Highlands Sustainability 20201295710.3390/su 12030957 · doi ↗
- 8Zhu Y. Cidan Y. Sun G. Li X. Shahid M.A. Luosang Z. Suolang Z. Suo L. Basang W. Comparative Analysis of Gut Fungal Composition and Structure of the Yaks under Different Feeding Models Front. Vet. Sci.202310119355810.3389/fvets.2023.119355837396992 PMC 10310795 · doi ↗ · pubmed ↗
