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Article

Prevalence and Multilocus Genotyping of Giardia duodenalis in Donkeys in Shanxi Province, North China

1
Laboratory of Parasitic Diseases, College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong 030801, China
2
Shanxi Key Laboratory of Integrated Pest Management in Agriculture, College of Plant Protection, Shanxi Agricultural University, Taiyuan 030031, China
3
Key Laboratory of Veterinary Public Health of Higher Education of Yunnan Province, College of Veterinary Medicine, Yunnan Agricultural University, Kunming 650201, China
*
Authors to whom correspondence should be addressed.
Animals 2023, 13(24), 3771; https://doi.org/10.3390/ani13243771
Submission received: 23 October 2023 / Revised: 26 November 2023 / Accepted: 4 December 2023 / Published: 6 December 2023

Abstract

:

Simple Summary

Giardia duodenalis is a common zoonotic intestinal protozoan and causes significant economic losses and potential risks to public health. China is among the several major producers of donkeys worldwide, with approximately 2.6 million donkeys being reared in 2019, but studies on G. duodenalis infection in donkeys were limited. Thus, in order to better understand the molecular epidemiology of G. duodenalis in donkeys in China, 815 fecal samples were collected from donkeys in three representative geographical locations in Shanxi Province, North China, to determine the presence and genotypes of G. duodenalis based on three established loci (tpi, bg, and gdh). A total of 137 out of 815 fecal samples were detected as G. duodenalis-positive with an overall prevalence of 16.81%. Among the detected assemblages A, B, and E, the most predominant assemblage was B in the three study areas. Three MLGs (MLG-novel-1 to 3) were identified with multilocus genotypes (MLGs) analysis and validated by a phylogenetic tree. This is the first report of G. duodenalis infection in donkeys in Shanxi Province, which not only enhances our understanding of the genetic diversity of G. duodenalis in donkeys in China but also provides essential baseline data for the prevention and control of G. duodenalis infection donkeys in the study areas.

Abstract

Giardia duodenalis is a ubiquitous flagellated protozoan, causing significant economic losses to animal husbandry and posing threats to public health. China ranks the world’s sixth largest major producer of donkeys, rearing approximately 2.6 million donkeys in 2019, but limited investigation of G. duodenalis prevalence has been conducted in the past, and it is yet to be known whether donkeys in Shanxi Province are infected with G. duodenalis. In the present study, a total of 815 fecal samples collected from donkeys in representative regions of Shanxi Province, North China, were examined for G. duodenalis using nested PCR. Then, the assemblages and multilocus genotypes (MLGs) were examined based on three established loci: namely, β-giardin (bg), triosephosphate isomerase (tpi), and glutamate dehydrogenase (gdh). The overall prevalence of G. duodenalis in donkeys in Shanxi Province was 16.81% (137/815). The region was identified as the main risk factor for the observed difference in G. duodenalis prevalence in donkeys among the three study areas (χ2 = 21.611, p < 0.001). Assemblages A, E, and B were identified, with the latter as the predominant assemblage. Three MLGs (MLG-novel-1 to 3) were formed based on sequence variation among the three loci. The present study reveals the presence of G. duodenalis in donkeys in Shanxi Province, North China, for the first time, which not only enriches the data on the distribution of G. duodenalis in donkeys in China but also provides useful baseline data for planning control strategies against G. duodenalis infection in the sampled areas.

1. Introduction

Giardia is a genus of intestinal flagellates infecting a wide variety of vertebrates, including horses and donkeys [1,2]. According to the current knowledge, eight species of Giardia with different host preferences are retained as valid, including Giardia cricetidarum, Giardia duodenalis, Giardia muris, Giardia agilis, Giardia psittaci, Giardia microti, Giardia ardeae, and Giardia peramelis [3,4,5]. G. duodenalis (syn. G. intestinalis and G. lamblia) is the only species responsible for all human infections, although it is also detected in many other mammals [6]. It contributes to approximately 280 million cases of human diarrhea every year [7] and infects over 40 different animal species [8]. Asymptomatic or mild infection usually occurs in most people, whereas chronic Giardia infection also appears in individuals who suffer from food allergies, irritable bowel syndrome (IBS), chronic fatigue syndrome, and arthritis [9]. Similarly, once infected with G. duodenalis, equine animals, including donkeys and horses, exhibited asymptomatic to severe clinical symptoms, such as abdominal pain, anemia, wasting, stunted growth and development, and even fatality [10,11].
Giardia duodenalis has been categorized as a minimum of eight assemblages or genotypes (A–H) based on genetic analysis [12]. Among them, assemblages A and B are commonly detected in humans and other mammals, whereas assemblages C, D, E, and F have also been sporadically reported in humans [4]. Meanwhile, assemblages G and H exhibit specificity to particular animal hosts, such as murines and seals [4]. Up to now, three assemblages (A, B, and E) have been detected in donkeys [13,14,15], suggesting that donkeys might be a potential reservoir for the transmission of G. duodenalis to humans or other animal hosts. In addition to assemblages A, B, and E, other assemblages, such as G, have been notably reported in horses [15,16]. Donkeys are closely related to horses; a better understanding of the genetic diversity and population genetic structure of G. duodenalis in animals of the genus Equus could contribute to the execution of precise control strategies against G. duodenalis infection in equine animals.
Domesticated from wild asses, donkeys are reared worldwide as draft animals as well as for food, medicine, and cosmetics purposes [17]. In fact, donkey meat is considered to be a superior nutritional source for human consumption due to its abundant essential and nonessential amino acids and lower fat content [18]. Donkey skins can be used to produce the traditional Chinese medicine “donkey-hide gelatin”, which is widely accepted by Chinese people [19]. In addition, a previous study indicated that donkey milk has multifunctions, such as boosting immunity and aiding digestion [20]. For example, donkey milk was used in northwestern China to treat lung and stomach diseases [21].
China is ranked the sixth largest major producer of donkeys, with approximately 2.6 million donkeys in 2019 worldwide [17], but limited surveys of G. duodenalis prevalence have been carried out only in a few Chinese provinces in the past [13,14], and no information on G. duodenalis prevalence in donkeys in Shanxi Province is available. Shanxi Province is located in the west of the North China Plain and has a temperate continental monsoon climate [22]. Due to its typical topography of loess-covered mountain plateau, Shanxi Province has a significant climate and precipitation difference and is greatly affected by the terrain, with an annual average temperature of from 4.2 to 14.2 °C and annual precipitation of from 358 to 621 mm from north to south [22,23]. A better understanding of G. duodenalis genetic diversity in donkeys in Shanxi Province under the unique topography, climate, and precipitation conditions has important implications for the better prevention and control of G. duodenalis in donkeys in Shanxi Province. Therefore, the objectives of the present investigation were to reveal the prevalence and genotypes of G. duodenalis in donkeys in Shanxi Province using a PCR-based molecular approach combined with multilocus genotyping based on the loci of glutamate dehydrogenase (gdh), triosephosphate isomerase (tpi), and β-giardin (bg) genes.

2. Materials and Methods

2.1. Sample Collection

From April to May 2023, a total of 815 fresh fecal samples were collected from donkeys in three cities as follows: Jinzhong (n = 81), Linfen (n = 363), and Datong (n = 371). The uppermost portion of freshly excreted donkey feces was carefully sampled to minimize the potential contamination of soil and water by G. duodenalis. According to the reported G. duodenalis prevalence in donkeys in China, at least 97 to 229 fecal samples need to be collected following the formula given in a previous report [24], and approximately 30–50% of donkeys on each donkey farm in the same region were collected to ensure that the samples were representative. All samples were divided into two age groups (older donkeys ≥ 3 years old and younger donkeys < 3 years old) and two sex groups (male and female). Each fecal sample was individually collected into a sterile glove and labeled with relevant details, including age, sex, and geographic location. These samples were then transferred into a container with ice packs for transportation to the Laboratory of Parasitic Diseases at the College of Veterinary Medicine, Shanxi Agricultural University. Afterwards, the samples were immediately stored in a freezer at −20 °C for preservation until used for genomic DNA extraction.

2.2. DNA Extraction and PCR Amplification

Genomic DNA was extracted from 200 mg of each fecal sample using the commercial E.Z.N.A.® Stool DNA Kit (Omega, Biotek Inc., Norcross, GA, USA) following the manufacturer’s specifications. The overall prevalence of G. duodenalis in donkeys was determined using nested PCR targeting the bg, tpi, and gdh gene individually, and the overall prevalence was calculated according to a previous report [25]. Briefly, each PCR mixture consisted of 2 μL of dNTPs, 2.5 μL of 10 × PCR Buffer (Mg2+ free), 25 mM of MgCl2, 1.25 U of Ex-Taq (Takara, Dalian, China), 1 μL of each primer, 2 μL of DNA template, and 14.75 μL of ddH2O to achieve a total volume of 25 μL. The PCR reaction condition and parameters for the amplification of the three loci were based on previously reported methods and are summarized in Table 1 [2,26,27]. Both negative (reagent-grade water) and positive controls (verified DNA of G. duodenalis with sequencing) were added to each PCR assay to ensure the reliability of the results. All secondary PCR products were electrophoresed on ethidium bromide-stained 1.5% agarose gels and visualized under UV light.

2.3. Sequencing and Phylogenetic Analysis

To validate the accuracy of the positive secondary PCR amplicons, they were bisequenced by Sangon Biotech Co., Ltd. (Shanghai, China). The obtained sequences were then aligned with known reference sequences in the GenBank database for the identification of genotypes. The representative sequences obtained in the present study were submitted to the GenBank database with the following accession numbers: OR636105 to OR636116 for the bg gene, OR497193 to OR497199 for the gdh gene, and OR497200 to OR497210 for the tpi gene. A phylogenetic analysis of G. duodenalis based on multilocus genotypes (MLGs) was constructed using the Neighbor-joining (NJ) method in MEGA 7.0 software. The Kimura 2-parameter model and 1000 bootstrap replicates were employed to calculate the genetic distances and evaluate the reliability of clusters, respectively.

2.4. Statistical Analysis

The chi-square (χ2) test in SPSS 26.0 (SPSS Inc., Chicago, IL, USA) was used to analyze the relationships between G. duodenalis prevalence and risk factors, including geographical location, age, and sex. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated to investigate the magnitude of the association between prevalence and the risk factors considered above. A statistically significant difference was approved when the p-value was less than 0.05.

3. Results

3.1. Prevalence of G. duodenalis in Donkeys

Based on the bg, gdh, and tpi gene loci, a total of 126, 36, and 74 fecal samples were amplified and detected as G. duodenalis, respectively, giving a total prevalence of 16.81% (137/815) (Table 2). The G. duodenalis infection existed in each examined city, with a significant difference in G. duodenalis prevalence among three surveyed cities (p < 0.001). Specifically, the prevalence of G. duodenalis from highest to lowest was in Linfen City (23.42%), Datong City (12.67%), and Jinzhong City (7.41%). For the different age groups, the prevalence of G. duodenalis in donkeys ≥ 3 years (17.97%) was higher than that in donkeys less than 3 years (13.55%); however, no statistically significant difference was detected (p = 0.139). When grouped by sex, no significant difference in G. duodenalis prevalence was observed between males (16.67%) and females (16.83%).

3.2. Identification and Distribution of G. duodenalis Assemblages

Among 137 G. duodenalis-positive fecal samples, sequence analysis identified three assemblages (A, B, and E) at three gene loci within both age group and sex group. Notably, all three assemblages (A, B, and E) were detected in Linfen City, whereas only one and two assemblages were detected in Jinzhong City and Datong City, respectively (Table 3). Assemblage B was the most prevalent genotype, being found in 70 fecal samples in every region, age, and sex group. Meanwhile, ten samples were positive for assemblage A and 18 samples for assemblage E.

3.3. Analysis of G. duodenalis Subtypes and MLGs

At the bg locus, one known subtype and one novel subtype (designated as A-novel-1) were detected within the assemblage of A-positive samples (Table S1). The known sequence assemblage was identical to the GenBank reference sequence with accession number KJ027408. Meanwhile, six subtypes of assemblage B were identified, including one known assemblage B subtype (B3) and five novel assemblage B subtypes (designated as B-novel-1 to B-novel-5) (Table S1). In addition, four novel subtypes of assemblage E were first identified, all of which have not been reported previously (Table S1).
At the gdh locus, one known subtype of assemblage A (A1) was identified (Table S2). Meanwhile, three types of sequences were present within the assemblage of B-positive samples, which have not been reported previously (Table S2). In addition, three novel subtypes of assemblage E were identified and designated as E-novel-1 to E-novel-3 (Table S2).
At the tpi locus, six subtypes of assemblage A were identified, including one known subtype of assemblage A (A1) and five novel subtypes of assemblage A (A-novel-1 to A-novel-5) (Figure 1). Meanwhile, four subtypes of assemblage B were identified; one was B4, and the others were named B-novel-1 to B-novel-3, respectively (Figure 1). Additionally, one novel subtype of assemblage E (E-novel-1) was identified (Figure 1).
Multilocus genotyping formed three different assemblage B MLGs based on three gene loci (Table 4). Among 137 G. duodenalis-positive samples, 22 samples were simultaneously amplified at all three intra-assemblage variation genes (bg, gdh, and tpi), including 5 samples identified as assemblage B at three loci, and were designated as MLG-novel-1 (n = 3), MLG-novel-2 (n = 1), and MLG-novel-3 (n = 1). Additionally, 23 samples were identified as mixed assemblages, including the mixed infection of assemblage B and E (n = 11), followed by the mixed infection of assemblage A and B (n = 10) and the mixed infection of assemblage A and E (n = 2); there was no significant regional bias among three cities (Table S3). Phylogenetic relationships of assemblage B MLGs of the obtained sequences in this study and the reported sequences are shown in Figure 2. The three MLGs from donkeys detected in this study formed into one cluster, which was closely related to those previously reported in donkeys and horses [13].

4. Discussion

As a significant intestinal parasite prevalent in a variety of animals, including sheep, goats, dogs, and cats [28,29,30], G. duodenalis prevalence has not been extensively investigated in donkeys. In the present study, molecular examination of G. duodenalis in 815 fecal samples collected from donkeys in Shanxi Province, North China revealed an overall G. duodenalis prevalence of 16.81%, which was higher than that in donkeys in Jilin (10.42%), Liaoning (13.79%) [13], Inner Mongolia (6.82%), and Xinjiang (14.76%) [14] but lower than that in Shandong province (18.27%) [13]. Moreover, our results showed that G. duodenalis prevalence in donkeys in Linfen City (23.42%) was higher than that in Datong City (12.67%) and Jinzhong City (7.41%). The prevalence of G. duodenalis in donkeys exhibited significant regional variation in the present study, consistent with a previous survey that was conducted in northern China [14]. Previous research has demonstrated that diverse temperatures and humidity levels could be conducive to the survival and dissemination of G. duodenalis cysts [31,32]. Linfen City is situated in the southern part of Shanxi Province and is characterized by elevated average temperatures and a more humid climate, which may contribute to the higher G. duodenalis prevalence in donkeys than the other two cities. The previous reports indicated that higher G. duodenalis prevalence was generally detected in younger donkeys due to their unhealthy immune system, but this result is not consistent with the two previous reports in China [13,14]. Compared to male donkeys, a higher G. duodenalis prevalence was observed in the female donkeys, contradicting the results of a previous investigation on horses in Turkey [33]. In two other studies, no significant difference in G. duodenalis prevalence was detected between the different age or sex factors [34,35]. We speculated that limited sample size and sampling sites may have contributed to these prevalence variations; thus, large-scale surveys need to be conducted in the future to further explore the potential linkage between G. duodenalis prevalence and risk factors.
Of the eight assemblages of G. duodenalis, assemblages A and B exhibit a wide host range [36], whereas the remaining assemblages show a stronger host specificity [28]. Studies have demonstrated that assemblages A and B were two crucial genotypes for human giardiasis, which were also detected in most animals, highlighting the potential zoonotic risk [4]. In addition to assemblages A and B, assemblage E was also detected in this study. Significantly, assemblage B emerged as the dominant assemblage, consistent with the findings of two previous studies reported on horses and donkeys in China [13,14]. However, assemblage G, previously identified in horses [14], was not found in the present study. Further research is warranted to fully understand the prevalence of G. duodenalis assemblages in donkeys in China.
Four assemblage A subtypes (AI, AII, AIII, and AIV) have been reported [37]. Comprehensive epidemiological data indicate that human isolates belonged to AI and AII, while animal isolates were mostly AI, AIII, and AIV [38]. Among the four assemblage B subtypes (BI, BII, BIII, and BIV), human isolates are most commonly BIII and BIV, and animal isolates are BI and BII [37]. The present study identified three subtypes: AI, BIII, and BIV, further underscoring the potential for cross-species transmission of G. duodenalis. Although assemblage E is typically found in hoofed animals [29], it has also been reported in humans in Australia, Brazil, and Egypt in recent years [39,40,41]. The presence of assemblage E and three subtypes (AI, BIII, and BIV) indicated that G. duodenalis infection in donkeys may pose a potential public health risk.
MLG analysis, based on bg, gdh, and tpi gene sequences, is a valuable technique to identify genetic variations within G. duodenalis [42,43]. Using this approach, four distinct MLGs in the assemblage B have been reported in donkeys [13]. In the present study, three assemblage B-MLG genotypes were identified, all of which were new assemblage B MLG genotypes. This indicated that assemblage B had a high genetic diversity. Nevertheless, multilocus genotyping data for G. duodenalis infecting donkeys is still limited; thus, more molecular epidemiological investigations in donkeys nationwide are needed to deepen our understanding of genetic diversity in G. duodenalis from donkeys.

5. Conclusions

The present study reveals an overall G. duodenalis prevalence of 16.81% in donkeys in Shanxi Province, North China, for the first time. Assemblage B was the predominant assemblage in the examined donkeys among the identified assemblages A, B, and E. The MLGs tool identified three MLGs within assemblage B at bg, tpi, and gdh loci. These findings enhance our understanding of the genetic diversity of G. duodenalis in donkeys in China and provide essential baseline data for the prevention and control of G. duodenalis infection in donkeys in the study areas.

Supplementary Materials

The following supporting information can be downloaded: https://www.mdpi.com/article/10.3390/ani13243771/s1, Table S1: Intra-subtype substitutions in bg gene within assemblages A, B, and E in donkeys.; Table S2: Intra-subtype substitutions in gdh gene within assemblages A, B, and E in donkeys; Table S3. Mixed assemblages of Giardia duodenalis based on tpi, gdh, and bg loci.

Author Contributions

S.-C.X., W.-W.G. and X.-Q.Z. conceived and designed this study. S.Z., T.-H.Z., N.S., H.-D.X., M.-F.T. and W.-W.G. performed the experiments. S.Z. and W.-W.G. wrote the manuscript. H.-D.X., Z.-D.Z. and Z.-X.W. participated in the collection of fecal samples and implementation of the study. S.Z., W.-W.G. and S.-C.X. analyzed the data. S.-C.X., W.-W.G. and X.-Q.Z. critically revised the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Shanxi Province Excellent Doctoral Work Award—Scientific Research Project (Grant No. SXBYKY2021019), the Research Fund of Shanxi Province for Introduced High-level Leading Talents (Grant No. RFSXIHLT202101), the Fund for Shanxi “1331 Project” (Grant No. 20211331-13), and the Special Research Fund of Shanxi Agricultural University for High-level Talents (Grant No. 2021XG001).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data sets supporting the results of this article have been submitted to the GenBank and accession number shown in the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Yichoy, M.; Duarte, T.T.; De Chatterjee, A.; Mendez, T.L.; Aguilera, K.Y.; Roy, D.; Roychowdhury, S.; Aley, S.B.; Das, S. Lipid metabolism in Giardia: A post-genomic perspective. Parasitology 2011, 138, 267–278. [Google Scholar] [CrossRef] [PubMed]
  2. Cacciò, S.M.; Ryan, U. Molecular epidemiology of giardiasis. Mol. Biochem. Parasitol. 2008, 160, 75–80. [Google Scholar] [CrossRef] [PubMed]
  3. Adam, R.D. Giardia duodenalis: Biology and pathogenesis. Clin. Microbiol. Rev. 2021, 34, e0002419. [Google Scholar] [CrossRef] [PubMed]
  4. Ryan, U.M.; Feng, Y.; Fayer, R.; Xiao, L. Taxonomy and molecular epidemiology of Cryptosporidium and Giardia—A 50 year perspective (1971–2021). Int. J. Parasitol. 2021, 51, 1099–1119. [Google Scholar] [CrossRef]
  5. Ryan, U.; Zahedi, A. Molecular epidemiology of giardiasis from a veterinary perspective. Adv. Parasitol. 2019, 106, 209–254. [Google Scholar]
  6. Lopez-Romero, G.; Quintero, J.; Astiazarán-García, H.; Velazquez, C. Host defences against Giardia lamblia. Parasite Immunol. 2015, 37, 394–406. [Google Scholar]
  7. Einarsson, E.; Ma’ayeh, S.; Svärd, S.G. An up-date on Giardia and giardiasis. Curr. Opin. Microbiol. 2016, 34, 47–52. [Google Scholar] [CrossRef]
  8. Horlock-Roberts, K.; Reaume, C.; Dayer, G.; Ouellet, C.; Cook, N.; Yee, J. Drug-free approach to study the unusual cell cycle of Giardia intestinalis. mSphere 2017, 2, e00384-16. [Google Scholar] [CrossRef]
  9. Ryan, U.; Hijjawi, N.; Feng, Y.; Xiao, L. Giardia: An under-reported foodborne parasite. Int. J. Parasitol. 2019, 49, 1–11. [Google Scholar] [CrossRef]
  10. Traversa, D.; Otranto, D.; Milillo, P.; Latrofa, M.S.; Giangaspero, A.; Di Cesare, A.; Paoletti, B. Giardia duodenalis sub-assemblage of animal and human origin in horses. Infect. Genet. Evol. 2012, 12, 642–1646. [Google Scholar] [CrossRef]
  11. Veronesi, F.; Passamonti, F.; Cacciò, S.; Diaferia, M.; Piergili Fioretti, D. Epidemiological survey on equine Cryptosporidium and Giardia infections in Italy and molecular characterization of isolates. Zoonoses Public Health. 2010, 57, 510–517. [Google Scholar] [CrossRef] [PubMed]
  12. Cacciò, S.M.; Lalle, M.; Svärd, S.G. Host specificity in the Giardia duodenalis species complex. Infect. Genet. Evol. 2018, 66, 335–345. [Google Scholar] [CrossRef] [PubMed]
  13. Zhang, X.X.; Zhang, F.K.; Li, F.C.; Hou, J.L.; Zheng, W.B.; Du, S.Z.; Zhao, Q.; Zhu, X.Q. The presence of Giardia intestinalis in donkeys, Equus asinus, in China. Parasit. Vectors 2017, 10, 3. [Google Scholar] [CrossRef]
  14. Li, F.; Wang, R.; Guo, Y.; Li, N.; Feng, Y.; Xiao, L. Zoonotic potential of Enterocytozoon bieneusi and Giardia duodenalis in horses and donkeys in northern China. Parasitol. Res. 2020, 119, 1101–1108. [Google Scholar] [CrossRef] [PubMed]
  15. Qi, M.; Ji, X.; Zhang, Y.; Wei, Z.; Jing, B.; Zhang, L.; Lin, X.; Karim, M.R.; Wang, H.; Sun, M. Prevalence and multilocus analysis of Giardia duodenalis in racehorses in China. Parasitol. Res. 2020, 119, 483–490. [Google Scholar] [CrossRef] [PubMed]
  16. Deng, L.; Li, W.; Zhong, Z.; Liu, X.; Chai, Y.; Luo, X.; Song, Y.; Wang, W.; Gong, C.; Huang, X.; et al. Prevalence and molecular characterization of Giardia intestinalis in racehorses from the Sichuan Province of southwestern China. PLoS ONE 2017, 12, e0189728. [Google Scholar] [CrossRef] [PubMed]
  17. Seyiti, S.; Kelimu, A. Donkey industry in China: Current aspects, suggestions and future challenges. J. Equine Vet. Sci. 2021, 102, 103642. [Google Scholar] [CrossRef]
  18. Polidori, P.; Cavallucci, C.; Beghelli, D.; Vincenzetti, S. Physical and chemical characteristics of donkey meat from Martina Franca breed. Meat Sci. 2009, 82, 469–471. [Google Scholar] [CrossRef]
  19. Zhang, W.; Cui, S.; Cheng, X.-l.; Wei, F.; Ma, S. An optimized TaqMan real-time PCR method for authentication of ASINI CORII COLLA (donkey-hide gelatin). J. Pharm. Biomed. Anal. 2019, 170, 196–203. [Google Scholar] [CrossRef]
  20. Jirillo, F.; Jirillo, E.; Magrone, T. Donkey’s and goat’s milk consumption and benefits to human health with special reference to the inflammatory status. Curr. Pharm. Des. 2010, 16, 859–863. [Google Scholar] [CrossRef]
  21. Ma, L.; Zhao, X.; Yang, H.; Su, D.; Dong, M. Development and utilization of donkey milk and its prospects. China Dairy 2005, 6, 40–41. [Google Scholar]
  22. Hao, Q.; Wu, X. Health-risk assessment and distribution characteristics of fluoride in groundwater in six basins of Shanxi Province, Middle China. Environ Sci Pollut. Res. Int. 2023, 30, 15911–15929. [Google Scholar] [CrossRef] [PubMed]
  23. Wang, J.; Li, Y.; Wang, S.; Li, Q.; Li, L.; Liu, X. Assessment of multiple ecosystem services and ecological security pattern in Shanxi Province, China. Int. J. Environ. Res. Public Health 2023, 20, 4819. [Google Scholar] [CrossRef] [PubMed]
  24. Thrusfield, M. Veterinary Epidemiology; Blackwell Science Ltd.: Hoboken, NJ, USA, 1995; pp. 180–186. [Google Scholar]
  25. Wang, S.S.; Yuan, Y.J.; Yin, Y.L.; Hu, R.S.; Song, J.K.; Zhao, G.H. Prevalence and multilocus genotyping of Giardia duodenalis in pigs of Shaanxi Province, northwestern China. Parasit. Vectors 2017, 10, 490. [Google Scholar] [CrossRef] [PubMed]
  26. Read, C.M.; Monis, P.T.; Thompson, R.C. Discrimination of all genotypes of Giardia duodenalis at the glutamate dehydrogenase locus using PCR-RFLP. Infect. Genet. Evol. 2004, 4, 125–130. [Google Scholar] [CrossRef] [PubMed]
  27. Geurden, T.; Geldhof, P.; Levecke, B.; Martens, C.; Berkvens, D.; Casaert, S.; Vercruysse, J.; Claerebout, E. Mixed Giardia duodenalis assemblage A and E infections in calves. Int. J. Parasitol. 2008, 38, 259–264. [Google Scholar] [CrossRef] [PubMed]
  28. Zhang, W.; Zhang, X.; Wang, R.; Liu, A.; Shen, Y.; Ling, H.; Cao, J.; Yang, F.; Zhang, X.; Zhang, L. 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. [Google Scholar] [CrossRef]
  29. Feng, Y.; Xiao, L. Zoonotic potential and molecular epidemiology of Giardia species and giardiasis. Clin. Microbiol. Rev. 2011, 24, 110–140. [Google Scholar] [CrossRef]
  30. Cao, L.; Han, K.; Wang, L.; Hasi, S.; Yu, F.; Cui, Z.; Hai, Y.; Zhai, X.; Zhang, L. Genetic characteristics of Giardia duodenalis from sheep in Inner Mongolia, China. Parasite 2020, 27, 60. [Google Scholar] [CrossRef]
  31. Zhang, X.X.; Tan, Q.D.; Zhao, G.H.; Ma, J.G.; Zheng, W.B.; Ni, X.T.; Zhao, Q.; Zhou, D.H.; Zhu, X.Q. Prevalence, risk factors and multilocus genotyping of Giardia intestinalis in dairy cattle, Northwest China. J. Eukaryot. Microbiol. 2016, 63, 498–504. [Google Scholar] [CrossRef]
  32. Alum, A.; Absar, I.M.; Asaad, H.; Rubino, J.R.; Ijaz, M.K. Impact of environmental conditions on the survival of Cryptosporidium and Giardia on environmental surfaces. Interdiscip. Perspect. Infect. Dis. 2014, 2014, 210385. [Google Scholar] [CrossRef] [PubMed]
  33. Demircan, K.; Onder, Z.; Duzlu, O.; Yildirim, A.; Okur, M.; Ciloglu, A.; Yetismis, G.; Inci, A. First molecular detection and phylogenetic analyses of zoonotic Giardia intestinalis in horses in Turkey. J. Equine. Vet. Sci. 2019, 80, 56–60. [Google Scholar] [CrossRef] [PubMed]
  34. Baek, S.; Maloney, J.G.; Molokin, A.; George, N.S.; Cortés Vecino, J.A.; Santin, M. Diversity of Blastocystis subtypes in horses in Colombia and identification of two new subtypes. Microorganisms 2022, 10, 1693. [Google Scholar] [CrossRef] [PubMed]
  35. Qi, M.; Zhou, H.; Wang, H.; Wang, R.; Xiao, L.; Arrowood, M.J.; Li, J.; Zhang, L. Molecular identification of Cryptosporidium spp. and Giardia duodenalis in grazing horses from Xinjiang, China. Vet. Parasitol. 2015, 209, 169–172. [Google Scholar] [CrossRef] [PubMed]
  36. Cai, W.; Ryan, U.; Xiao, L.; Feng, Y. Zoonotic giardiasis: An update. Parasitol. Res. 2021, 120, 4199–4218. [Google Scholar] [CrossRef] [PubMed]
  37. Monis, P.T.; Andrews, R.H.; Mayrhofer, G.; Ey, P.L. Genetic diversity within the morphological species Giardia intestinalis and its relationship to host origin. Infect. Genet. Evol. 2003, 3, 29–38. [Google Scholar] [CrossRef] [PubMed]
  38. Ryan, U.; Cacciò, S.M. Zoonotic potential of Giardia. Int. J. Parasitol. 2013, 43, 943–956. [Google Scholar] [CrossRef]
  39. Abdel-Moein, K.A.; Saeed, H. The zoonotic potential of Giardia intestinalis assemblage E in rural settings. Parasitol. Res. 2016, 115, 3197–3202. [Google Scholar] [CrossRef]
  40. Fantinatti, M.; Bello, A.R.; Fernandes, O.; Da-Cruz, A.M. Identification of Giardia lamblia assemblage E in humans points to a new anthropozoonotic cycle. J. Infect. Dis. 2016, 214, 1256–1259. [Google Scholar] [CrossRef]
  41. Zahedi, A.; Field, D.; Ryan, U. Molecular typing of Giardia duodenalis in humans in Queensland–First report of assemblage E. Parasitology 2017, 144, 1154–1161. [Google Scholar] [CrossRef]
  42. Cacciò, S.M.; Beck, R.; Lalle, M.; Marinculic, A.; Pozio, E. Multilocus genotyping of Giardia duodenalis reveals striking differences between assemblages A and B. Int. J. Parasitol. 2008, 38, 1523–1531. [Google Scholar] [CrossRef] [PubMed]
  43. Cui, Z.; Wang, L.; Cao, L.; Sun, M.; Liang, N.; Wang, H.; Chang, Y.; Lin, X.; Yu, L.; Wang, R.; et al. Genetic characteristics and geographic segregation of Giardia duodenalis in dairy cattle from Guangdong Province, southern China. Infect. Genet. Evol. 2018, 66, 95–100. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Multiple sequence alignment in tpi gene within Giardia duodenalis assemblages A, B, and E in donkeys. GenBank reference sequence with accession number: JQ688289.
Figure 1. Multiple sequence alignment in tpi gene within Giardia duodenalis assemblages A, B, and E in donkeys. GenBank reference sequence with accession number: JQ688289.
Animals 13 03771 g001
Figure 2. Phylogenetic tree of Giardia duodenalis multilocus genotypes (MLGs). The bootstrapping used the Kimura 2-parameter model and 1000 bootstrap replicates. Isolates identified in this study are indicated by red triangles.
Figure 2. Phylogenetic tree of Giardia duodenalis multilocus genotypes (MLGs). The bootstrapping used the Kimura 2-parameter model and 1000 bootstrap replicates. Isolates identified in this study are indicated by red triangles.
Animals 13 03771 g002
Table 1. Primers and annealing temperatures for PCR amplification of bg, tpi, and gdh genes.
Table 1. Primers and annealing temperatures for PCR amplification of bg, tpi, and gdh genes.
GenePrimer Name and SequencesAmplification ProceduresSize
bgBGF1: 5′-AAGCCCGACGACCTCACCCGCAGTGC-3′94 °C: 5 min; 35 cycles: (94 °C: 30 s, 56 °C: 30 s,
72 °C:1 min); 72 °C: 10 min
BGR1: 5′-GAGGCCGCCCTGGATCTTCGAGACGAC-3′
BGF2: 5′-GAACGAACGAGATCGAGGTCCG-3′94 °C: 5 min; 35 cycles: (94 °C: 45 s, 58 °C: 30 s,
72 °C:45 s); 72 °C: 10 min
515 bp
BGR2: 5′-CTCGACGAGCTTCGTGTT-3′
tpiALF1: 5′-TTCCGTRTYCAGTACAACTC-3′94 °C: 5 min; 35 cycles: (94 °C: 45 s, 55 °C: 45 s,
72 °C:1 min); 72 °C: 10 min
ALR1: 5′-ACCTCGTTCTGRGTGGCGCA-3′
ALF2: 5′-ATGACYGAGCTYCAGAGGCACGT-3′94 °C: 5 min; 35 cycles: (94 °C: 45 s, 58 °C: 45 s,
72 °C:1 min); 72 °C: 10 min
530 bp
ALR2: 5′-GTGGCGCARGGCATGATGCA-3′
gdhGDH1: 5′-AAATIATGCCTGCTCGTCG-3′94 °C: 5 min; 35 cycles: (94 °C: 30 s, 52 °C: 45 s,
72 °C:1 min); 72 °C: 10 min
GDH2: 5′-CAAACCTTITCCGCAAACC-3′
GDH3: 5′-CCCTTCATCGGIGGTAACTT-3′94 °C: 5 min; 35 cycles: (94 °C: 30 s, 60 °C: 45 s,
72 °C:1 min); 72 °C: 10 min
530 bp
GDH4: 5′-GTGGCCACCACICCCGTGCC-3′
Table 2. Risk factors associated with the prevalence of Giardia duodenalis in donkeys in Shanxi Province, North China.
Table 2. Risk factors associated with the prevalence of Giardia duodenalis in donkeys in Shanxi Province, North China.
Risk FactorCategoryNo. of Positive/
Tested
Prevalence %
(95% CI)
OR
(95% CI)
p-Value
Age<3 years29/21413.55 (8.97–18.14)Ref.0.139
≥3 years108/60117.97 (14.90–21.04)1.40 (0.90–2.18)
RegionJinzhong6/817.41 (1.70–13.11)Ref.<0.001
Linfen85/36323.42 (19.06–27.77)3.82 (1.61–9.09)
Datong46/37112.67 (9.25–16.09)1.77 (0.73–4.30)
SexMale20/12016.67 (9.99–23.33)Ref.0.692
Female117/69516.83 (14.05–19.62)1.01 (0.60–1.70)
Total 137/81516.81 (14.24–19.38)
Table 3. Occurrence of Giardia duodenalis genotypes (assemblages A, B, and E) by age, sex, and geographic location.
Table 3. Occurrence of Giardia duodenalis genotypes (assemblages A, B, and E) by age, sex, and geographic location.
FactorCategoryCase CountNo. of
Positive
Genotypes (n)
ABEMixed
Age<3 years21429116111
≥3 years6011089541728
RegionJinzhong8160501
Linfen363851451821
Datong37146920017
SexMale1202019111
Female6951179611728
Total 81513710701839
Table 4. Multilocus sequence genotyping of Giardia duodenalis based on the tpi, gdh, and bg genes.
Table 4. Multilocus sequence genotyping of Giardia duodenalis based on the tpi, gdh, and bg genes.
Sample IDGenotypesMLGs
bggdhtpi
JA-8, JB-49, RC-107B3B-novel-1B4MLG-novel-1
JB-32B-novel-5B-novel-1B4MLG-novel-2
JA-79B3B-novel-2B4MLG-novel-3
RC-53, RC-61A1A1B4Mixed
RC-79AIAIB-novel-1Mixed
WR-C10AIB-novel-1B4Mixed
WR-27B3A1B4Mixed
RC-95, WR-C21B3B-novel-1AIMixed
RC-76, JA-22, RC-101, RC-111B3E-novel-1AIMixed
JA-25B3E-novel-3B4Mixed
JA-52E-novel-1B-novel-3B4Mixed
JA-78, JB-188, B-202, JB-125E-novel-1E-novel-2B4Mixed
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Gao, W.-W.; Zhang, S.; Zhang, T.-H.; Xiao, H.-D.; Su, N.; Tao, M.-F.; Wu, Z.-X.; Zhang, Z.-D.; Zhu, X.-Q.; Xie, S.-C. Prevalence and Multilocus Genotyping of Giardia duodenalis in Donkeys in Shanxi Province, North China. Animals 2023, 13, 3771. https://doi.org/10.3390/ani13243771

AMA Style

Gao W-W, Zhang S, Zhang T-H, Xiao H-D, Su N, Tao M-F, Wu Z-X, Zhang Z-D, Zhu X-Q, Xie S-C. Prevalence and Multilocus Genotyping of Giardia duodenalis in Donkeys in Shanxi Province, North China. Animals. 2023; 13(24):3771. https://doi.org/10.3390/ani13243771

Chicago/Turabian Style

Gao, Wen-Wei, Shuo Zhang, Tian-Hong Zhang, Han-Dan Xiao, Nan Su, Meng-Fan Tao, Ze-Xuan Wu, Ze-Dong Zhang, Xing-Quan Zhu, and Shi-Chen Xie. 2023. "Prevalence and Multilocus Genotyping of Giardia duodenalis in Donkeys in Shanxi Province, North China" Animals 13, no. 24: 3771. https://doi.org/10.3390/ani13243771

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