Prevalence, risk factors and multilocus genotyping of Enterocytozoon bieneusi in farmed foxes (Vulpes lagopus), Northern China
- Xiao-Xuan Zhang†1, 2,
- Wei Cong†1, 2,
- Zhi-Long Lou1, 2,
- Jian-Gang Ma1, 2,
- Wen-Bin Zheng1, 2,
- Qiu-Xia Yao1, 3,
- Quan Zhao2 and
- Xing-Quan Zhu1, 2, 3Email author
© Zhang et al. 2016
Received: 14 October 2015
Accepted: 30 January 2016
Published: 5 February 2016
Microsporidiosis is a common disease in animals and humans around the world. Enterocytozoon bieneusi is the most common microsporidian species in humans. Many animal species may be a potential source of human microsporidiosis. However, information concerning prevalence and genotypes of E. bieneusi infection in farmed foxes (Vulpes lagopus) is scarce. Therefore, the present study examined prevalence, risk factors and genotypes of E. bieneusi in farmed foxes in northern China using a genetic approach.
Of 302 fecal samples from farmed foxes, 37 (12.25 %, 95 % CI 8.55–15.95) were PCR-positive for E. bieneusi, and the prevalence was highly associated with the farming mode in that foxes raised outdoors (26.03 % positive, 95 % CI 18.91–33.15) had a significantly higher E. bieneusi prevalence than those raised indoors. Eleven internal transcribed spacer (ITS) genotypes were identified among the positive samples: four known E. bieneusi genotypes (Peru 8, Types IV, CHN-DC1 and D) and seven novel genotypes (NCF1-NCF7). Genotype NCF2 was the commonest (n = 13) and was found in five farms across three provinces (Jilin, Heilongjiang and Hebei). All genotypes belonged to phylogenetic group 1. Multilocus sequence typing (MLST) analyses revealed additional diversity.
These findings indicate the presence of zoonotic E. bieneusi infection in farmed foxes in northern China. This is also the first report of genotypes Peru8, CHN-DC1 and Type IV, and seven novel genotypes (NCF1-NCF7) in farmed foxes by ITS combining with microsatellite and minisatellite markers for the first time. The results will provide baseline data for preventing and controlling E. bieneusi infection in farmed foxes, other animals and humans.
Microsporidia form an important group of obligate intracellular parasites, and the 1300 named species can infect virtually all animals [1–4]. Fourteen species in eight genera have been reported in humans . Enterocytozoon bieneusi, Encephalitozoon cuniculi, Encephalitozoon intestinalis, and Encephalitozoon hellem are the major microsporidians infecting humans worldwide , with E. bieneusi being the most common, responsible for 90 % of all microsporidian infections . The first case of human infection with E. bieneusi was reported in an AIDS patient with chronic diarrhea [6, 7]. Since E. bieneusi was detected in pig feces, animals have slowly become recognized as the main intermediate hosts of this pathogen [4, 8]. Feces containing E. bieneusi spores can contaminate water or food, leading to microsporidiosis outbreaks .
The internal transcribed spacer (ITS) region of the ribosomal RNA (rRNA) gene cluster has been widely used to evaluate the zoonotic risk of E. bieneusi [10–13]. Thus far, two large groups have been documented by phylogenetic analysis of ITS sequences, namely a zoonotic group (Group 1) which can infect both humans and animals, and a number of host-adapted groups (Groups 2–5 and outlier genotypes in dogs). More than 200 distinct non-human genotypes are known [14–18]. Some additional small groups have also been found in recent years: Group 7 in Nigerian AIDS patients, Group 6 in urban wastewater in China, and Group 8 was also found in some animals in recent studies [19, 20].
China has abundant animal resources, but only limited information is available regarding prevalence and genotypes of E. bieneusi. Most studies in China have reported on E. bieneusi in pigs, dogs, cats, cattle, sheep, humans, captive snakes, pandas, some nonhuman primates, and environmental samples [13, 14, 17, 21–26]. Foxes have been the subject of only one study, which was conducted in Harbin City . To improve the information of the distribution of E. bieneusi genotypes and estimate the zoonotic potential of E. bieneusi infection in foxes, a cross-sectional study of 302 farmed foxes (Vulpes lagopus) in northern China was conducted.
Specimen collection and DNA extraction
This study was approved by the Animal Ethics Committee of Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences (Approval No. LVRIAEC2014-011). In total, 302 fecal samples were randomly collected from healthy farmed foxes from Jilin province (3 farms, 91 foxes), Heilongjiang province (2 farms, 70 foxes) and Hebei province (3 farms, 141 foxes), northern China in 2014. Each fecal sample was collected using sterile gloves immediately after the animal had defecated, and was then stored on ice. In the laboratory, genomic DNA was immediately extracted from feces using an EZNAR Stool DNA kit (OMEGA, USA) according to the manufacturer’s instructions and stored at −20 °C until required for PCR analyses. Information regarding geographical origin, farming mode, gender and age of source fox were acquired for each fecal sample.
Primers used in the study, annealing temperatures used in the PCRs and expected sizes of the PCR products
Annealing temperature (°C)
Fragment length (bp)
Sequencing and phylogenetic analyses
Secondary PCR products were sequenced by Genscript Company (Nanjing, China). Sequences were aligned with reference sequences of E. bieneusi available in GenBank using the computer program Clustal X 1.83 and BLAST (http://www.ncbi.nlm.nih.gov/BLAST/). MEGA v5 (http://www.megasoftware.net/) was used to infer phylogenetic trees by the neighbor-joining (NJ) method (Kimura 2-parameter model). Bootstrapping (1000 replicates) was performed . The E. bieneusi ITS genotypes were named according to the established nomenclature system .
The variation in E. bieneusi prevalence (у) of foxes of different geographical location (x1), gender (x2), age (x3) and farming mode (x4) was analyzed using theχ2 test in SAS version 9.1 (SAS Institute Inc., USA). In a multivariable regression analysis, each of these variables was included in a binary Logit model as an independent variable. The best model was judged by Fisher’s scoring algorithm. All tests were two-sided, and results were considered statistically significant at P < 0.05. Odds ratios (ORs) and their 95 % confidence intervals (95 % CIs) were estimated to explore the strength of the association between E. bieneusi-positivity and each variable.
Nucleotide sequence accession numbers
Representative nucleotide sequences have been deposited into GenBank with the following accession numbers: KT750157 to KT750167 for the ITS region, and KT844918 to KT844931 for the microsatellite loci (MS1, MS3, MS7).
Prevalence of E. bieneusi in foxes
Factors associated with prevalence of Enterocytozoon bieneusi in farmed foxes in northern China
% (95 % CI)
OR (95 % CI)
Enterocytozoon bieneusi genotypes identified in farmed foxes from different farms in northern China
Age category (n)
No. positive/no. tested (%)
Adults (2), Young (11), Pre-weaned (7)
2/20 (10 %)
NCF2 (n = 2)
Adults (8), Young (19), Pre-weaned (9)
3/36 (8.33 %)
Peru8 (n = 1), Type IV (n = 1), D (n = 1)
Adults (1), Young (12), Pre-weaned (22)
2/35 (5.71 %)
Type IV (n = 1), D (n = 1)
Adults (7), Young (17), Pre-weaned (2)
4/26 (15.38 %)
Peru8 (n = 1), Type IV (n = 1), CHN-DC1 (n = 1), NCF2 (n = 1)
Adults (9), Young (27), Pre-weaned (7)
1/44 (2.27 %)
CHN-DC1 (n = 1)
Adults (9), Young (34), Pre-weaned (2)
9/45 (20.00 %)
Peru8 (n = 2), NCF5 (n = 2), Type IV (n = 2), NCF1 (n = 2), NCF2 (n = 1)
Adults (15), Young (33), Pre-weaned (9)
5/57 (8.77 %)
NCF2 (n = 4), NCF3 (n = 1)
Adults (7), Young (26), Pre-weaned (6)
11/39 (28.21 %)
D (n = 2), NCF1 (n = 1), NCF2 (n = 5), NCF4 (n = 1), NCF6 (n = 1), NCF7 (n = 1)
Adults (68), Young (178), Pre-weaned (56)
37/302 (12.25 %)
Peru8 (n = 4), Type IV (n = 5), D (n = 4), CHN-DC1 (n = 2), NCF1 (n = 3), NCF2 (n = 13), NCF3 (n = 1), NCF4 (n = 1), NCF5 (n = 2), NCF6 (n = 1), NCF7 (n = 1)
Association between E. bieneusi positivity and exposure
The univariate analysis summarized in Table 2 shows a strong relationship between farming mode and E. bieneusi-positivity. The impacts of multiple variables on E. bieneusi were evaluated by a forward stepwise logistic regression analysis using Fisher’s scoring technique. In the final model, only one variable (farming mode) had an effect on prevalence, described by the equation y = 3.8786 –1.1977x4. Farming mode has a strong effect on the risk of E. bieneusi (Table 2).
Genetic characterizations and genotype distribution of E. bieneusi in foxes
Analysis of the ITS region of E. bieneusi revealed four known genotypes, namely Peru 8, Type IV, CHN-DC1 and D [15, 24, 29]. In addition, seven novel genotypes (NCF1-NCF7) were detected (Table 3). A comparative analysis of the ITS sequences showed that the four known genotypes sequences of the identified E. bieneusi isolates were identical to that of Peru 8 (GenBank accession no. KJ668721), Type IV (accession no. KJ651436), CHN-DC1 (accession no. KJ710333) and D (accession no. JF776168) sequences available in GenBank, respectively.
Of the novel genotypes, NCF2 (n = 13, 35.14 %) was the most common, being found in 5 farms (farm 1 from Jilin province, farm 4 from Heilongjiang province, farms 6, 7 and 8 from Hebei province). The remaining novel genotypes were only present in Hebei province (Table 3).
Phylogenetic relationships of E. bieneusi ITS genotypes
Multilocus characterization of Enterocytozoon bieneusi isolates from farmed foxes in northern China
GenBank Accession Nos.
KT844921, KT844925, −, KT844931
KT844924, KT844926, −, KT844929
KT844923, KT844925, −, KT844931
KT844921, KT844925, −, KT844929
KT844924, KT844926, −, KT844930
KT844924, KT844926, −, KT844929
KT844924, KT844925, −, KT844929
KT844918, KT844925, −, KT844929
KT844922, KT844926, −, KT844929
KT844919, KT844925, −, KT844930
In the present study, 37 (12.25 %, 95 % CI 8.55–15.95) out of 302 farmed foxes were E. bieneusi-positive by the nested PCR amplification of the ITS rDNA. This prevalence was lower than that in farmed foxes (27.7 %, 53/191) in Harbin City, China , and also lower than that in wild foxes in the Spain (14.3 %, 1/7)  and USA (13.4 %, 9/67) . The different prevalence may be due to different geo-ecological conditions, sample collection time, animal husbandry practices, animal welfare, age distribution of the samples, as well as sample sizes.
Ingestion of contaminated water and food is the most important means of transmission of E. bieneusi . Therefore, density of foxes in a farm and environmental sanitation may strongly affect on prevalence. Stocking density of foxes is generally higher in farms in Hebei and Heilongjiang provinces relative to those in Jilin province. This may explain why farms from Hebei and Heilongjiang had higher E. bieneusi prevalences than those from Jilin province. Farming mode is another risk factor associated with E. bieneusi infection in farmed foxes. Foxes raised outdoors had a significantly higher prevalence than those kept indoors, probably due to the fact that outdoor foxes have more opportunities to make contact with contaminated environments and animals than indoor foxes.
Four E. bieneusi ITS genotypes, namely D, EbpC, WL11, and WL15, have been detected in foxes in the world [27, 29, 30]. Only one of these, D, was among the four known genotypes that we found in farmed foxes. We also found genotypes Peru8, CHN-DC1 and Type IV, and an additional seven novel genotypes (NCF1-NCF7). Thus, eleven E. bieneusi genotypes were endemic in farmed foxes in northern China. All these genotypes belonged to group 1 analyzed by NJ methods (Fig. 1), which suggests that farmed foxes are potential sources of human microsporidiosis. NCF2 was the most frequent genotype found in the present study. In contrast, only genotype D was found in farmed foxes in Harbin City in a previous study  and in wild foxes in Spain , and genotypes WL13 and WL15 were the most common in wild foxes in the USA .
All of the four known genotypes, CHN-DC1, D, Type IV and Peru8, have been previously found in northern China [15, 24, 31]. For example, genotype D was found in golden takins (Budorcas taxicolor bedfordi) in Shannxi , HIV patients and non-human primates in Henan [11, 21], dairy cattle, sheep, goats, pig, cats and dogs in Heilongjiang [24, 31–33]. Type IV was present in HIV patients and non-human primates in Henan , cats and dogs in Heilongjiang . Peru8 was found in non-human primates in Henan , dogs in Heilongjiang . CHN-DC1 was identified only in dairy cattle in Heilongjiang . These findings suggest cross-transmission of E. bieneusi between foxes, other animal species, and humans. More importantly, genotypes D and Peru8 have also been found in drinking water in China, which suggests that we should pay more attention to this mode of transmission of E. bieneusi.
Recently, multilocus sequence typing (MLST) has been used to further study the taxonomy and population genetics of E. bieneusi using MS1, MS3, MS4 and MS7 [13, 15, 34]. In the present study, amplification of at least one locus was successful for every isolate. Amplification of MS4 was unsuccessful in every case. All the three microsatellite loci (MS1, MS3 and MS7) were only successfully amplified from ten isolates, revealing the presence of much diversity. These findings demonstrate the genetic diversity of E. bieneusi in farmed foxes.
The present study revealed the existence (12.25 %, 37/302) of zoonotic E. bieneusi infection in farmed foxes in Jilin, Heilongjiang and Hebei provinces, northern China. Foxes raised outdoors displayed a significantly higher E. bieneusi prevalence than those raised indoors. This study also found ITS genotypes D, Peru8, CHN-DC1 and Type IV, and seven novel genotypes (NCF1-NCF7) in farmed foxes, and further diversity was revealed at three microsatellite loci combining with microsatellite locus for the first time. These results suggest that control strategies are required to limit E. bieneusi infection in farmed foxes, and to prevent transmission to humans and other animals.
Project support was provided by the Science Fund for Creative Research Groups of Gansu Province (Grant No. 1210RJIA006) and the Agricultural Science and Technology Innovation Program (ASTIP) (Grant No. CAAS-ASTIP-2014-LVRI-03). We thank Prof David Blair at the College of Marine and Environmental Sciences, James Cook University, Australia for improving the English language of the manuscript.
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