Literature DB >> 24971639

Multilocus genotyping of Giardia duodenalis in dairy cattle in Henan, China.

Haiyan Wang1, Guanghui Zhao2, Gongyi Chen3, Fuchun Jian4, Sumei Zhang4, Chao Feng4, Rongjun Wang4, Jinfeng Zhu3, Haiju Dong4, Jun Hua3, Ming Wang5, Longxian Zhang4.   

Abstract

Giardia duodenalis is a common and widespread intestinal protozoan parasite of both humans and animals. Previous epidemiological and molecular studies have identified Giardia infections in different animals and humans, but only limited information is available about the occurrence and genotypes of Giardia in cattle in China. In this study, we determined the occurrence of giardiasis and genetically characterized G. duodenalis in dairy cattle in Henan Province, central China. The overall prevalence of G. duodenalis was 7.2% (128/1777) on microscopic analysis, with the highest infection rate (22.7%) in calves aged less than 1 month. G. duodenalis assemblages and subtypes were identified with multilocus genotyping based on the SSU rRNA, β-giardin (bg), glutamate dehydrogenase (gdh), and triosephosphate isomerase (tpi) genes. Two assemblages were detected in the successfully sequenced samples: assemblage A (n = 58), assemblage E (n = 21), with a mixed E and A assemblage (n = 2). Four novel subtypes of the gdh gene and seven of the bg gene were found among the G. duodenalis assemblage E isolates. Using the nomenclature for the multilocus genotype (MLG) model, nine novel multilocus genotypes E (MLGs E1-E9) and three MLGs A (a novel subtype AI, previously detected subtype AII-1, and a combination of both) were identified. MLG AII-1 identified in this study may be an important zoonotic subtype. The dairy cattle in Henan are a potential public health concern.

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Year:  2014        PMID: 24971639      PMCID: PMC4074110          DOI: 10.1371/journal.pone.0100453

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Giardia duodenalis (syn. G. lamblia, G. intestinalis) is a common protozoan in cattle worldwide. It often presents no or mild symptoms in adult cattle, but clinical manifestations of diarrhea, weight loss, and malabsorption can present in calves [1]. Previous epidemiological studies have shown that cattle are the main source of G. duodenalis infection in humans, contracted by the fecal–oral route or by the ingestion of contaminated food or water [2]. Therefore, the role of cattle as reservoirs of G. duodenalis and its potential threat to public health are of increasing concern [3]. The accurate identification of parasites is central to the effective control of parasitic diseases. Molecular studies have confirmed that G. duodenalis is a species complex, comprising eight distinct assemblages/genotypes (A–H) [4], [5] that appear to have different host ranges. Of these assemblages, only A and B infect humans [6], [7]. So far, the zoonotic assemblage A and B and the livestock-specific assemblage E have been detected in cattle [8]–[16]. Assemblage E is the predominant genotype in most countries, including Belgium, United States, Canada, Denmark, Australia, and Portugal [8]–[13]. In contrast, assemblage A or B is occasionally reported to be the most common genotype in Italy, Canada, and New Zealand [14]–[16]. In China, the occurrence and molecular studies of Giardia have been reported in rabbits (subtypes B-I and B-VIII), monkeys (subtypes A-II and B), macaques (subtypes A-II and B), sheep and goats (genotypes A, B, and E), dogs (genotypes C, D, and A), and humans (subtype A-I, A-II, and B) [17]–[23]. However, there has been only one study of G. duodenalis infection in calves in Heilongjiang, China [24]. Therefore, because there are relatively few prevalence data available on G. duodenalis in cattle in China and an even greater lack of molecular data, we determined the prevalence of G. duodenalis in dairy cattle in Henan, China, and characterized it at the molecular level, using multilocus genotyping at the SSU rRNA, β-giardin (bg), glutamate dehydrogenase (gdh), and triosephosphate isomerase (tpi) loci.

Materials and Methods

Ethics statement

This study was performed strictly according to the recommendations of the Guide for the Care and Use of Laboratory Animals of the Ministry of Health, China. Our protocol was reviewed and approved by the Research Ethics Committee of Henan Agricultural University. All fecal specimens were collected from animals with the permission of the farm owners. No specific permits were required by the authorities for specimen collection. The field studies did not involve endangered or protected species.

Sample collection and microscopy

From August 2008 to October 2009, 1777 fecal samples were randomly collected from dairy cattle aged from newborn to 2 years old on 15 different intensive farms in Henan Province, central China (Figure 1, Table 1). New fecal specimens from cattle at Farm 1 were also collected monthly for 1 year to investigate the seasonal variations in G. duodenalis infections. Farm 1 is the largest dairy farm in Henan Province, located in a suburb of the city of Zhengzhou, consisting of approximately 1000 animals, including calves (<6 months old), heifers (6–24 months old), and cows (>2 years old). The farm ranked among the top producing dairy farms in Henan. All dairy cattle were housed in different age groups in free stalls indoors.
Figure 1

Specific locations at which samples were collected in this study. ▴ locations.

Table 1

Prevalence of G. duodenalis infection on 15 dairy cattle farms in Henan Province.

No. of Positive/No. of Examined (95% CI)
Age groups (day)
CitiesFarms<3031–6061–9091–180181–360>361Total
ZhengzhouZz-114/6211/348/313/460/510/10036/324 (11.1±1.0)
Zz-214/404/334/164/170/350/4026/181 (14.4±1.7)
Zz-32/31/260/162/170/110/1355/208 (2.4±1.0)
Zz-401/2001/60/270/352/88 (2.3±1.8)
Zz-50/50/110000/320/48 (0)
Zz-600/121/120/1100/251/60 (1.7±2.3)
Zz-70/10/100/50/500/270/48 (0)
Zz-81/60/201/1000/272/45 (4.4±3.6)
LuoyangLy-14/3016/627/441/560/150/3428/241 (11.6±1.3)
XinxiangXx-14/161/210/264/560/200/459/184 (4.9±1.3)
JiaozuoJz-11/7000/130/120/161/48 (2.1±2.9)
Jz-22/141/310/60/140/140/233/102 (2.9±1.8)
Jz-32/62/151/130/131/220/256/94 (6.4±2.3)
ShangqiuSq-15/263/120/40/100/120/328/96 (8.3±2.4)
Sq-20000/71/250/261/58 (1.7±2.4)
Total49/216 (22.7±1.6)40/289 (13.8±1.2)21/173 (12.1±1.7)16/281 (5.7±1.0)2/244 (0.8±0.6)0/622 (0)128/1777 (7.2±0.2)
The fresh feces were placed into clean plastic bags marked with the date, age, and geographic origin, transported immediately to the laboratory, stored at 4°C, and then examined with a Lugol-staining technique and microscopy at 400× magnification. All G. duodenalis-positive samples were stored in 2.5% (w/v) potassium dichromate solution at 4°C for molecular characterization.

DNA extraction and PCR amplification

The samples were washed three times in distilled water with centrifugation at 3000× g for 10 min to remove the potassium dichromate. The genomic DNA was extracted from the G. duodenalis samples using the E.Z.N.A. Stool DNA kit (Omega Biotek Inc., Norcross, GA, USA), according to the manufacturer's instructions. The extracted DNA was eluted in 100 µl of AE elution buffer and stored at −20°C. The genotypes of the G. duodenalis samples were determined with nested PCR amplification of the SSU rRNA, bg, gdh, and tpi genes, according to previous studies [10], [25]–[27], with several modifications. The primers used in the PCR analysis of all gene targets, the annealing temperatures, and the sizes of the expected PCR products are listed in Table 2. The PCR reactions for the bg, gdh, and tpi loci were conducted in 25 µL reaction mixtures containing of 1× PCR buffer (TaKaRa Shuzo Co., Ltd., Otsu, Japan), 200 µM each dNTP (TaKaRa Shuzo Co., Ltd.), 0.4 µM each primer, 1 unit of TaKaRa rTaq DNA polymerase (TaKaRa Shuzo Co., Ltd.), and 2 µL of DNA sample. In the SSU rRNA protocol, 1× GC buffer II (TaKaRa Shuzo Co., Ltd.) and LA Taq DNA polymerase (TaKaRa Shuzo Co., Ltd.) were used instead of 1× PCR buffer and rTaq. For the second amplification of bg, 10 µL of the first PCR amplicon was diluted in 90 µL of water and 2 µL of that dilution was used as the template for the second amplification. DNA samples from G. duodenalis isolates from humans and distilled water were used as the controls for each target-gene-based PCR analysis. The PCR products were visualized on a UV transilluminator after electrophoresis in 1.5% agarose gels and staining with ethidium bromide.
Table 2

Target, primers, amplicon size, annealing temperature, and main use of the four G. duodenalis genotyping loci.

genePrimer (sequence 5′–3′)Fragment length (bp)Annealing temperature (°C)Usage(s)References
16S rRNAGia2029 (AAGTGTGGTGCAGACGGACTC)29255genotyping9
Gia2150c(CTGCTGCCGTCCTTGGATGT)
RH11(CATCCGGTCGATCCTGCC)59
RH4(AGTCGAACCCTGATTCTCCGCCCAGG)
bgG7(AAGCCCGACGACCTCACCCGCAGTGC)38465Genotyping and subtyping24
G759(GAGGCCGCCCTGGATCTTCGAGACGAC)
G759(GAGGCCGCCCTGGATCTTCGAGACGAC)65
G376(CATAACGACGCCATCGCGGCTCTCAGGAA)
gdhGhd1 (TTCCGTRTYCAGTACAACTC)52050Genotyping and subtyping25
Gdh2 (ACCTCGTTCTGRGTGGCGCA)
Gdh3 (ATGACYGAGCTYCAGAGGCACGT)50
Gdh4 (GTGGCGCARGGCATGATGCA)
tpiAL3543 (AAATIATGCCTGCTCGTCG)53050Genotyping and subtyping26
AL3546 (CAAACCTTITCCGCAAACC)
AL3544 (CCCTTCATCGGIGGTAACTT)50
AL3545 (GTGGCCACCACICCCGTGCC)

Sequence analysis

All nested-PCR amplicons were sent to Beijing Nuosai Biological Engineering Biotechnology Company for two-directional sequencing on an ABI PRISM 3730 XL DNA Analyzer (Applied Biosystems, USA). The G. duodenalis genotypes were identified by alignment with reference sequences downloaded from GenBank (http://www.ncbi.nlm.nih.gov) using MEGA 4 [28], [29]. A phylogenetic analysis was performed using the neighbor-joining and maximum composite likelihood methods carried out with Tamura-Nei model. The consensus tree was constructed after bootstrap analysis with 1000 replications.

Statistical analysis

The χ2 test was used to compare the prevalence of G. duodenalis between different cities, the association between infection rate, age, and sampling season, and between the assemblage distributions and age. Differences were considered significant at P<0.01.

Nucleotide sequence accession numbers

All nucleotide sequences were submitted to the National Center for Biotechnology Information (NCBI) GenBank database under the following accession numbers: KF843921–KF843922 for the SSU rRNA gene, KF843923–KF843931 for the gdh gene, KF843932–KF843940 for the bg gene, and KF843941–KF843948 for the tpi gene.

Results

Prevalence of G. duodenalis

The total prevalence of G. duodenalis was 7.2% (128/1777); 13 of 15 farms were Giardia-positive and the infection rate (95% CI) ranged from 0% to 14.4% on different farms (Table 1). The highest infection rate was in Luoyang (11.6%, 28/241), followed by Zhengzhou (7.2%, 72/1002), Shangqiu (5.8%, 9/154), Xinxiang (4.9%, 9/184), and Jiaozuo(4.1%, 10/244). Among the different age groups of cattle, calves aged less than 1 month had the highest infection rate (χ2 = 171.1, P<0.01), whereas no Giardia cysts were detected in adult cattle older than 1 year (Table 1). The association between the sampling season and the prevalence of G. duodenalis was assessed using fecal samples from Farm Zz-1 (Figure 2). The prevalence was highest in February and lowest in June. The animals were at significantly greater risk of Giardia infection in winter (November–February) (χ2 = 29.34, P<0.01).
Figure 2

Prevalence of G. duodenalis infections in dairy cattle in different months.

Molecular identification and polymorphisms of G. duodenalis isolates

We genotyped 128 G. duodenalis-positive samples based on four loci, and 73 SSU rRNA, 67 tpi, 77 bg, and 61 gdh gene sequences were obtained. Fifty-six samples were successfully sequenced at all four genes, whereas the remaining samples were amplified at only one to three genes (Table 3). All nucleotide sequences obtained in the present study were aligned with G. duodenalis reference nucleotide sequences from GenBank and analyzed using ClustalX 1.83. Two G. duodenalis assemblages were identified: assemblage E (n = 58), reported to infect only hoofed livestock, and assemblage A (n = 21), which infects humans and a number of other mammals.
Table 3

Genotype distributions of the 16s rRNA, bg, gdh, and tpi gene sequences.

SSU rRNAtpibggdhTotal
EEEE38
NRENR3
NRNRE3
NRENR8
NREENR6
AEA2
AAAA18
ANRNR1
AANR2

NR: no result.

NR: no result. The genetic diversity of G. duodenalis among assemblage E and A was observed at the tpi, bg, and gdh loci. Six different subtypes of assemblage E were identified at the tpi locus (KF843941–KF843946), and these showed 100% similarity to sequences available in GenBank with accession numbers of AY655705, EF654683, JN162351, AB569406, EF654689, and JF792419, respectively. Seven subtypes of assemblage E were also identified at the bg and gdh loci. Four subtype sequences at the gdh locus (KF843926–KF843929) have not been reported previously, and showed similarity of 99% to assemblage E (accession no. EF507645, from cattle in Brazil). The remaining three subtype sequences at the gdh locus (KF843923–KF843925) showed 100% similarity to isolates B7 from cattle (EF507645), SG-10 from sheep (KC960647), and Ca39 from cattle (AB569388), respectively. Subtypes AI and AII of assembly A were identified at the tpi, bg, and gdh loci, with subtypes AI and AII identical to sequences with accession numbers AF069556 (subtype AI) and AF069557 (subtype AII) at the tpi locus, AY655702 (subtype AI) and AY072723 (subtype AII) at the bg locus, and EF507642 (subtype AI) and EF507674 (subtype AII) at the gdh locus. The variations among the new subtypes at different nucleotide sites are summarized in Table 4.
Table 4

Intrasubtype substitutions in tpi and gdh of assemblage E.

Subtypes (numbers)Nucleotide positions and substitutionsGenBank accession nos.
1924119132269273299
bg
Ref. sequenceCAATGTCAY072729
E1 (9)TGG__C_KF843932
E2 (3)TGGC___KF843933
E3 (7)TGG__C_KF843934
E4 (22)TGG_A_TKF843935
E5 (8)TGG___TKF843936
E6 (2)TGG__CTKF843937
E7 (6)TGG____KF843938

Distribution of G. duodenalis assemblages

Across all farms, 72% of the G. duodenalis-positive samples were infected with assemblage A, while 26% were infected with assemblage E. Assemblage E was found on twelve of fifteen farms, while assemblage A was only found on three farms: two of three farms being infected with assemblage E and assemblage A, one being present as a single assemblage A on Xx-1 (The data was not shown). Fifty-eight G. duodenalis assemblage E and twenty-one G. duodenalis assemblage A isolates were assigned to different ages groups. Assemblage E was found in all age groups and the highest percentage was in 61–90-day-old cattle (χ2 = 25.02, P<0.01), while assemblage A was only observed in calves <180 days old, with the highest percentage in calves <30 days old (χ2 = 29.58, P<0.01; Figure 3).
Figure 3

Frequency distribution of G. duodenalis assemblage E and assemblage A across different age groups.

Sixteen, thirteen, twenty-two, six, and one of fifty-egiht G. duodenalis assemblage E isolates were grouped into calves aged <30 days, 31–60 days, 61–90 days, 91–180 days, and >180 days, respectively. Twelve, four, two, three, and zero of twenty-one G. duodenalis assemblage A isolates were grouped into the corresponding groups.

Frequency distribution of G. duodenalis assemblage E and assemblage A across different age groups.

Sixteen, thirteen, twenty-two, six, and one of fifty-egiht G. duodenalis assemblage E isolates were grouped into calves aged <30 days, 31–60 days, 61–90 days, 91–180 days, and >180 days, respectively. Twelve, four, two, three, and zero of twenty-one G. duodenalis assemblage A isolates were grouped into the corresponding groups.

Multilocus genotyping

Because there was no variability in the SSU rRNA gene among assemblage A or assemblage E isolates, the bg, gdh, and tpi loci were used to determine the G. duodenalis subtypes according to the established nomenclature, based on multilocus sequence polymorphisms. Fifty-six isolates were successfully subtyped at all three genes, forming nine different assemblage E MLGs and three assemblage A MLGs (Table 4). Of the assemblage E MLGs, the greatest number of isolates belonged to MLG E1 (n = 16), followed by MLG E2 (n = 8). The other seven assemblage E MLGs were represented by one to five isolates. Of the assemblage A MLGs, five isolates belonged to subtype AII (a known MLG AII-1), 12 isolates were subtype AI (a novel MLG AI), and only one isolate showed a combined MLG AII-1 and novel MLG AI subtype. The GenBank accession numbers of the reference MLGs (AI-1, AI-2, AII-1, AII-2, and AIII) and all the MLGs identified in this study are listed in Table 5. To clarify the genetic relationships between the different MLGs, a phylogenetic analysis was performed based on a concatenated dataset of bg, gdh, and tpi sequences. The different MLGs of G. duodenalis were included as in-groups for improved resolution and a better topology of the evolutionary tree. All MLGs in the current study were assigned as assemblage A and assemblage E. In the assemblage A MLGs, one subtype clustered with the reference MLG AII-1, whereas the novel subtype AI and the combined MLG clustered with the reference MLG AI-1. The MLGs E1–E9 clustered broadly with previous assemblage E MLGs (Figure 4).
Table 5

Multilocus characterization of G. duodenalis isolates from dairy cattle based on the sequences of the bg, gdh, and tpi genes.

Isolates (numbers)Reference sequences for bg, gdh and tpi genesMLG types
GenotypesGenBank accession nos.
Fy32a (5)AII, AII, AIIAY072723, EF507674, U57897AII-1b
Xx1a (12)AI, AI, AIAY655702, AB159795, L02120A novelb
Fy16 (1)AII, AI, AIAY072723, AB159795, L02120Mixedb
Swesheep055AI, AI, AIX14185, EF507610, L02120AI-1
ISSGCat4AI, AI, AIAB469365, M84604, AB509383AI-2
ISSGd168AII, AII, AIIAY072723, EF507674, U57897AII-1
ISSGd107AII, AII, AIIAY072724, EU278608, U57897AII-2
Swecat171AIII, AIII, AIIIDQ650649, EU637582, EU781002AIII-1
Swesheep069E,E,EDQ116624, DQ182605, EU781019MLGEI
Swesheep026E,E,EEU769215, DQ182605, EU781019MLGEII
Ly7a (16)E3,E3,E1KF843934, KF843925, KF843941MLGE1b
Ly10a (8)E1,E3,E1KF843932, KF843925, KF843941MLGE2b
Zm68a (5)E2,E1,E1KF843933, KF843923, KF843941MLGE3b
Sq51a (2)E3,E2,E1KF843934, KF843924, KF843941MLGE4b
Ly24a (2)E3,E1,E3KF843934, KF843923, KF843943MLGE5b
Dy61a (2)E5,E1,E1KF843936, KF843923, KF843941MLGE6b
Ly34 (1)E4,E2,E1KF843935, KF843924, KF843941MLGE7b
Ly13 (1)E6,E3,E6KF843937, KF843925, KF843946MLGE8b
Jz37 (1)E1,E3,E4KF843932, KF843925, KF843944MLGE9b

: Pooled sample.

: Present study.

Figure 4

Phylogenetic relationships of G. duodenalis MLGs.

The phylogenetic tree was constructed using a concatenated dataset of the bg, tpi, and gdh gene sequences, and a maximum likelihood analysis and neighbor-joining analysis generated identical topologies. Sequences from this and previous studies are included in the analysis. Bootstrap values >50% are shown. G. duodenalis MLGs identified in this study are indicated by black triangles.

Phylogenetic relationships of G. duodenalis MLGs.

The phylogenetic tree was constructed using a concatenated dataset of the bg, tpi, and gdh gene sequences, and a maximum likelihood analysis and neighbor-joining analysis generated identical topologies. Sequences from this and previous studies are included in the analysis. Bootstrap values >50% are shown. G. duodenalis MLGs identified in this study are indicated by black triangles. : Pooled sample. : Present study.

Discussion

In this study, the overall infection rate of G. duodenalis in cattle, ranging from newborn to 2 years old, was 7.2% (128/1777), which is a little higher than that recently reported in same-aged cattle in Heilongjiang Province, China (6.4%, 41/643) [24]. As is well known, the determinants of infection rates are complex and the rates are often affected by many factors, including the ages of the animals, sample size, examination methods, different management systems, the timing of specimen collection, and geoecological conditions. Therefore, it is difficult to explain the actual difference between the prevalence of G. duodenalis in this study and those in other countries, such as the United States (44%), Canada (42.0%), Galicia (30.1%), Denmark (43.6%), Belgium (31.3%), Vietnam (10.2%), and New Zealand (31.0%) [8], [11], [15], [30]–[33]. There was a significant association between the age of sampling and the likelihood of infection. Results on the prevalence of G. duodenalis in cattle in the current study revealed that infection was frequent in calves younger than 6 months old, but was rare in adult cattle older than 1 year. This finding was in accordance with previous reports regarding giardiasis as a common infection in immature farm animals [24], [34], [35], [36], [37]. The highest prevalence was observed in calves less than 1 month old (22.7%), which was different from previous reports. Huetink et al. reported that G. duodenalis cysts were rare in calves younger than 1 month and found the highest prevalence in 4–5-month-old animals [38]; Mark-Carew et al. [37] reported that young stock within the age range of 31–60 days were at the highest risk; The highest infection rate was in calves aged 2–3 months in O'Handley et al study [39]. Due to the lack of epidemiological data on bovine giardiasis, we could not find the true reasons for the relatively low age at which cysts had the highest prevalence in the current study. It might be a consequence of the calves management, the health status such as diarrhea or not, with or without the presence of other parasites such as Cryptosporidium, and so on. In this study, the peak G. duodenalis infection was noted in winter, which is identical to a previous study conducted in the Netherlands [38]. In that study, Huetink et al. repeatedly sampled a dairy farm over 1 year and found that the prevalence of G. duodenalis shedding peaked in December and February. They explained that in this period, because the weather is cold and the animals are housed indoors, the risk of infection with serious respiratory illnesses increases, making the cattle more susceptible to all kinds of infections, including G. duodenalis, as their immunity declined. These infected animals excreted G. duodenalis oocysts and then possibly infected other cattle in the cattle sheds via another vector: caretakers, cats, or mice. Similar climates might explain the consistent observations between the Netherlands and this study. Sequence analyses indicated that most of the dairy cattle were infected with livestock-specific G. duodenalis assemblage E (72%), whereas a minority harbored the zoonotic assemblage A (26%). These findings are consistent with previous reports from China, Belgium, United States, Canada, Denmark, Australia, and Portugal [8]–[13], [24]. Interestingly, it was difficult to assign two isolates to an assemblage unequivocally because the genotyping results at the bg gene (assemblage E) were not consistent with those at the other two genes (assemblage A) (Table 3). This may indicate the presence of mixed genotypes. Only a few studies have reported mixed infections of G. duodenalis in cattle and other animals [7], [26], [40], [41]. This discrepancy at different loci has important implications for molecular epidemiological studies, and using only one maker to assign an isolate to a specific assemblage is not always reliable. In contrast, multilocus genotyping is a suitable tool with which to interpret the molecular epidemiology of G. duodenalis infections. In a study of Cryptosporidium species and genotypes, the zoonotic species, C. parvum primarily infected calves under 2 months of age, while the species and genotypes that were not infectious for humans primarily infected post-weaned calves [42]. To identify whether this change occurs with G. duodenalis, we observed the differences in the assemblage distributions in the various age groups. The potentially zoonotic assemblage A was only found in calves <180 days of age, whereas assemblage E was found in all age groups. The highest infection rates of assemblages A and E were found in animals of 1 and 3 months old, respectively. These results are similar to those of previous reports in which the prevalence of assemblage E was highest in post-weaned calves and assemblage A was only detected at 6 months of age [9], [30]. However, our findings differed from those of another study, in which assemblage E peaked in preweaned calves and assemblage A was detected in post-weaned calves and heifers [43]. The MLG model was developed by Caccio et al. in 2008 and used later by Sprong et al. and Lebbad et al. [7], [26], [44], [45]. Using MLGs, we can better characterize the G. duodenalis in humans and animals from different geographic regions. In this study, three MLGs were identified in 18 assemblage A isolates, including a known MLG AII-1 (n = 5), a novel MLG AI (n = 12), and a combination of both (n = 1). The distribution of the G. duodenalis multilocus subtypes is consistent with previous findings that subtype AI has a preference for livestock, whereas subtype AII is commonly detected in humans [26], [46]. The known MLG subtype AII-1 identified in this study is identical to a cat-derived strain isolated in Italy, and human-derived isolates in Italy, Sweden, and China [26], [45], [47]. The observation of a genetically identical G. duodenalis subtype in humans and animals in China and other countries indicates that MLG AII-1 may be an important zoonotic multilocus genotype. In conclusion, this study has reported the prevalence of Giardia in dairy cattle in Henan Province, China, and provides some preliminary data on the genetic diversity of the parasite in this region using multilocus genotyping. Whether MLG AII-1 is the main zoonotic subtype must be investigated further with systematic molecular epidemiological analyses of both humans and animals.
  47 in total

1.  Genetic characterizations of Cryptosporidium spp. and Giardia duodenalis in humans in Henan, China.

Authors:  Rongjun Wang; Xiaosan Zhang; Huili Zhu; Longxian Zhang; Yaoyu Feng; Fuchun Jian; Changshen Ning; Meng Qi; Yang Zhou; Kanda Fu; Yaqiang Wang; Yanru Sun; Qiang Wang; Lihua Xiao
Journal:  Exp Parasitol       Date:  2010-07-01       Impact factor: 2.011

2.  The identification of a new Giardia duodenalis assemblage in marine vertebrates and a preliminary analysis of G. duodenalis population biology in marine systems.

Authors:  Erica Lasek-Nesselquist; David Mark Welch; Mitchell L Sogin
Journal:  Int J Parasitol       Date:  2010-03-30       Impact factor: 3.981

3.  Molecular characterization of Giardia isolates from calves and humans in a region in which dairy farming has recently intensified.

Authors:  Cynthia L Winkworth; James J Learmonth; Christoph D Matthaei; Colin R Townsend
Journal:  Appl Environ Microbiol       Date:  2008-06-20       Impact factor: 4.792

4.  From mouse to moose: multilocus genotyping of Giardia isolates from various animal species.

Authors:  Marianne Lebbad; Jens G Mattsson; Bodil Christensson; Bitte Ljungström; Annette Backhans; Jan O Andersson; Staffan G Svärd
Journal:  Vet Parasitol       Date:  2009-11-13       Impact factor: 2.738

Review 5.  Is Giardia a significant pathogen in production animals?

Authors:  Thomas Geurden; Jozef Vercruysse; Edwin Claerebout
Journal:  Exp Parasitol       Date:  2009-03-11       Impact factor: 2.011

6.  A longitudinal study of Giardia duodenalis genotypes in dairy cows from birth to 2 years of age.

Authors:  Mónica Santín; James M Trout; Ronald Fayer
Journal:  Vet Parasitol       Date:  2009-02-12       Impact factor: 2.738

7.  Prevalence of Giardia and Cryptosporidium spp in calves from a region in New Zealand experiencing intensification of dairying.

Authors:  C L Winkworth; C D Matthaei; C R Townsend
Journal:  N Z Vet J       Date:  2008-02       Impact factor: 1.628

8.  Parasitic infections in dairy cattle around Hanoi, northern Vietnam.

Authors:  T Geurden; R Somers; N T G Thanh; L V Vien; V T Nga; H H Giang; P Dorny; H K Giao; J Vercruysse
Journal:  Vet Parasitol       Date:  2008-02-03       Impact factor: 2.738

9.  Multilocus genotyping of human Giardia isolates suggests limited zoonotic transmission and association between assemblage B and flatulence in children.

Authors:  Marianne Lebbad; Ingvor Petersson; Lillemor Karlsson; Silvia Botero-Kleiven; Jan O Andersson; Bo Svenungsson; Staffan G Svärd
Journal:  PLoS Negl Trop Dis       Date:  2011-08-02

10.  Identification of zoonotic genotypes of Giardia duodenalis.

Authors:  Hein Sprong; Simone M Cacciò; Joke W B van der Giessen
Journal:  PLoS Negl Trop Dis       Date:  2009-12-01
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  29 in total

1.  Infection patterns, clinical significance, and genetic characteristics of Enterocytozoon bieneusi and Giardia duodenalis in dairy cattle in Jiangsu, China.

Authors:  Rui Wang; Na Li; Wen Jiang; Yaqiong Guo; Xiaolan Wang; Yue Jin; Yaoyu Feng; Lihua Xiao
Journal:  Parasitol Res       Date:  2019-08-16       Impact factor: 2.289

2.  Multilocus sequence analysis of Giardia spp. isolated from patients with diarrhea in Austria.

Authors:  Mellesia F Lee; Herbert Auer; John F Lindo; Julia Walochnik
Journal:  Parasitol Res       Date:  2016-11-25       Impact factor: 2.289

3.  Multilocus genotyping of Giardia duodenalis and Enterocytozoon bieneusi in dairy and native beef (Qinchuan) calves in Shaanxi province, northwestern China.

Authors:  X T Wang; R J Wang; G J Ren; Z Q Yu; L X Zhang; S Y Zhang; H Lu; X Q Peng; G H Zhao
Journal:  Parasitol Res       Date:  2016-01-18       Impact factor: 2.289

4.  High genetic diversity of Giardia duodenalis assemblage E in pre-weaned dairy calves in Shanghai, China, revealed by multilocus genotyping.

Authors:  Xiaolan Wang; Min Cai; Wen Jiang; Yuping Wang; Yue Jin; Na Li; Yaqiong Guo; Yaoyu Feng; Lihua Xiao
Journal:  Parasitol Res       Date:  2017-05-26       Impact factor: 2.289

Review 5.  Advances in understanding Giardia: determinants and mechanisms of chronic sequelae.

Authors:  Luther A Bartelt; R Balfour Sartor
Journal:  F1000Prime Rep       Date:  2015-05-26

6.  Giardia duodenalis in Alpine (Rupicapra rupicapra rupicapra) and Apennine (Rupicapra pyrenaica ornata) chamois.

Authors:  Claudio De Liberato; Federica Berrilli; Marianna Marangi; Maristella Santoro; Tiziana Trogu; Lorenza Putignani; Paolo Lanfranchi; Francesco Ferretti; Stefano D'Amelio; Annunziata Giangaspero
Journal:  Parasit Vectors       Date:  2015-12-21       Impact factor: 3.876

7.  Molecular characterization of Cryptosporidium spp. and Giardia duodenalis from yaks in the central western region of China.

Authors:  Meng Qi; Jinzhong Cai; Rongjun Wang; Junqiang Li; Fuchun Jian; Jianying Huang; Huan Zhou; Longxian Zhang
Journal:  BMC Microbiol       Date:  2015-05-21       Impact factor: 3.605

8.  Cryptosporidium spp., Giardia intestinalis, and Enterocytozoon bieneusi in Captive Non-Human Primates in Qinling Mountains.

Authors:  Shuai-Zhi Du; Guang-Hui Zhao; Jun-Feng Shao; Yan-Qin Fang; Ge-Ru Tian; Long-Xian Zhang; Rong-Jun Wang; Hai-Yan Wang; Meng Qi; San-Ke Yu
Journal:  Korean J Parasitol       Date:  2015-08-25       Impact factor: 1.341

9.  Prevalence and molecular characterization of Cryptosporidium spp. and Giardia duodenalis in dairy cattle in Ningxia, northwestern China.

Authors:  Jianying Huang; Daoyou Yue; Meng Qi; Rongjun Wang; Jinfeng Zhao; Junqiang Li; Ke Shi; Ming Wang; Longxian Zhang
Journal:  BMC Vet Res       Date:  2014-12-09       Impact factor: 2.741

10.  Multilocus genotyping of Giardia duodenalis isolates from children in Oromia Special Zone, central Ethiopia.

Authors:  Teklu Wegayehu; Md Robiul Karim; Junqiang Li; Haileeyesus Adamu; Berhanu Erko; Longxian Zhang; Getachew Tilahun
Journal:  BMC Microbiol       Date:  2016-05-21       Impact factor: 3.605

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