| Literature DB >> 35521222 |
Zhaohui Cui1,2, Qilin Wang2, Xiyao Huang1, Jiayi Bai1, Bingyang Zhu1, Bingchen Wang1, Xiaohang Guo1, Meng Qi2, Junqiang Li3.
Abstract
Giardia duodenalis is the underlying cause of a significant number of outbreaks of gastrointestinal illness in humans and animals worldwide. The purpose of this study was to elucidate the prevalence and genetic diversity of G. duodenalis in captive alpine musk deer (Moschus chrysogaster) in China. A total of 202 fecal samples were collected from three farms in Gansu Province, China. Identification of G. duodenalis was conducted by nested PCR targeting the genes coding for SSU rRNA, β-giardin (bg), glutamate dehydrogenase (gdh) and triosephosphate isomerase (tpi). The overall prevalence of G. duodenalis in captive alpine musk deer in surveyed area was 19.3% (39/202). Two G. duodenalis genetic assemblages were identified, namely assemblage A and E. Mixed genotype infections (A+E) were found in 15.4% (6/39) of positive samples. Multilocus genotyping (MLG) analysis of G. duodenalis isolates revealed six novel assemblage A MLGs formed by two newly-described MLG-subtypes which belonged to sub-assemblage AI. To the best of our knowledge, this is the first report on MLG of G. duodenalis isolates in captive alpine musk deer in China. The presence of zoonotic assemblages and sub-assemblages of G. duodenalis in deer species suggests that these animals may potentially act as a reservoir of this protozoan for humans.Entities:
Keywords: China; Giardia duodenalis; alpine musk deer; multilocus genotyping; zoonotic potential
Mesh:
Year: 2022 PMID: 35521222 PMCID: PMC9065604 DOI: 10.3389/fcimb.2022.856429
Source DB: PubMed Journal: Front Cell Infect Microbiol ISSN: 2235-2988 Impact factor: 6.073
Figure 1Sampling sites. No copyright permission was required. The figure was designed with the software ArcGIS 10.2. The map has been originally modified and assembled according to permission and attribution guidelines of the National Geomatics Center of China (http://www.ngcc.cn).
Primer sequences and reaction conditions used in nested PCR amplifications.
| Target Gene | Primer sequences (5’- 3’) | Annealing | Target size | Reference |
|---|---|---|---|---|
| Gia2029 (AAGTGTGGTGCAGACGGACTC) | 55°C | |||
| SSU rRNA | Gia2150c (CTGCTGCCGTCCTTGGATGT) | |||
| RH11 (CATCCGGTCGATCCTGCC) | 59°C | 292 bp | ( | |
| RH4 (AGTCGAACCCTGATTCTCCGCCCAGG) | ||||
| AL3543 (AAATIATGCCTGCTCGTCG) | 50°C | |||
| AL3546 (CAAACCTTITCCGCAAACC) | ||||
| AL3544 (CCCTTCATCGGIGGTAACTT) | 50°C | 530 bp | ( | |
| AL3545 (GTGGCCACCACICCCGTGCC) | ||||
| GDH1 (TTCCGTRTYCAGTACAACTC) | 50°C | |||
| GDH2 (ACCTCGTTCTGRGTGGCGCA) | ||||
| GDH3 (ATGACYGAGCTYCAGAGGCACGT) | 50°C | 530 bp | ( | |
| GDH4 (GTGGCGCARGGCATGATGCA) | ||||
| G7 (AAGCCCGACGACCTCACCCGCAGTGC) | 58°C | |||
| G759 (GAGGCCGCCCTGGATCTTCGAGACGAC) | ||||
| 2005F (GAACGAACGAGATCGAGGTCCG) | 55°C | 511 bp | ( | |
| 2005R (CTCGACGAGCTTCGTGTT) |
Prevalence of G. duodenalis by location in Gansu Province, China.
| Farm | N/T (%) | assemblages (n) | SSU rRNA (n) | |||
|---|---|---|---|---|---|---|
| Yuzhong A | 8/36 (22.2) | A (7), E (1) | A (7), E (1) | A (3) | A (2) | A (2) |
| Yuzhong B | 16/65 (24.6) | A (9), E (2), | A (11), E (5) | A (11) | A (1), E (2) | A (4), E (2) |
| Zhuanglang | 15/101 (14.9) | A (10), E (4), | A (10), E (5) | A (9), E (1) | A (4), E (1) | A (7), E (3) |
| Total | 39/202 (19.3) | A (26), E (7), | A (28), E (11) | A (23), E (1) | A (7), E (3) | A (13), E (5) |
| <6 month | 4/32 (12.5) | A (1), E (2), | A (1), E (3) | A (1) | E (1) | E (2) |
| >1 year | 35/170 (20.6) | A (25), E (5), | A (27), E (8) | A (22), E (1) | A (7), E (2) | A (13), E (3) |
N, number of positives for G. duodenalis; T, total analysis samples.
Multi-locus characterization of G. duodenalis isolates in alpine musk deer in China based on bg, gdh and tpi genes.
| Isolate Code | MLG Type | |||
|---|---|---|---|---|
| 22 | PN | A1 | A1 | |
| 32 | A1 (OM273018) | A1 | PN | |
| 47,80 | A1 | A1 | A1 | AI-novel 1 |
| 65 | A1 | A1 | PN | |
| 71 | PN | A1 | PN | |
| 78 | PN | A1 | PN | |
| 79 | E | A1 | PN | |
| 81 | PN | A1 | PN | |
| 86 | E | A2 (OM273020) | E | Excluded |
| 100 | PN | A1 | E | |
| 104 | PN | A1 | PN | |
| 115 | A2 (OM273019) | A1 | PN | |
| 120 | A3 | A3 | PN | |
| 147 | E | A2 | PN | |
| 152 | E | PN | E | |
| 157,172,195,207 | A3 | A3 | A2 | AI-novel 2 |
| 163 | PN | E1 | PN | |
| 173 | E | PN | PN | |
| 182 | A3 | A3 | PN | |
| 199 | PN | A3 | PN | |
| 204 | A3 | A3 | PN | |
| 217 | A3 | A3 | PN |
PN, PCR negative.
Figure 2Phylogenetic relationships among G. duodenalis assemblage A isolates inferred by neighbor-joining analysis based on concatenated datasets for bg, tpi and gdh nucleotide sequences. Bootstrap values greater than 50% from 1000 replicates were shown on nodes. The novel MLGs in this study were indicated in bold.
Giardia duodenalis infection rates and genotypes in cervids worldwide.
| Location | Host | Positive % (N/T) | Assemblage (n) | Sub-Assemblage (n) | Reference |
|---|---|---|---|---|---|
| Australia | Sambar deer, red deer, | 0.6 (10/1563) | A (10) | A-I (1), A-III (9) | ( |
| Bangladesh | Spotted deer | 3.3 (1/30) | A (1) | ( | |
| Canada | Boreal caribou | 2.0 (3/149) | ( | ||
| China | Sika deer | 0.8 (5/662) | E (5) | ( | |
| Forest musk deer | 2.2 (5/223) | A (2), E (3) | ( | ||
| Sika deer | 0.6 (5/818) | A (2), E (3) | ( | ||
| Alpine musk deer | 19.3 (39/202) | A (22), E (5), A+E (6) | |||
| Croatia | Red deer | 1.1 (4/374) | A (3), D (1) | ( | |
| Roe deer | 24.0 (5/21) | A (2), D (2), | ( | ||
| Italy | Fallow deer | 11.5 (16/139) | A (8) | A-I (8) | ( |
| Fallow deer | A (8) | A-III (8) | ( | ||
| Japan | Sika deer | 0.7% (2/271) | A (2) | ( | |
| Netherlands | Roe deer | A (1) | ( | ||
| Norway | Reindeer | 5.0% (6/114) | A (6) | AI (6) | ( |
| Reindeer | A (6) | ( | |||
| Moose | A (13) | ( | |||
| Red deer | 1.7 (5/289) | ( | |||
| Roe deer | 15.5 (45/291) | ( | |||
| Reindeer | 7.1 (11/115) | ( | |||
| Moose | 12.3 (56/455) | ( | |||
| Poland | Red deer | 1.6 (1/61) | A (1) | A-III (1) | ( |
| Roe deer | 4.0% (2/50) | A (2) | A-I (2) | ( | |
| Red deer | 17.9 (5/28) | B (4) | ( | ||
| Roe deer | 22.9 (11/48) | B (8) | ( | ||
| Moose | 17.0 (4/23) | ( | |||
| Spain | Roe deer | 8.9 (19/212) | A (7) | A-II (7) | ( |
| Roe deer | 5.4 (12/224) | ( | |||
| Deer | 7.7 (14/181) | ( | |||
| Fallow deer | A (1), E (1) | ( | |||
| Moose | A (1) | ( | |||
| USA | White-tailed deer | 1.3 (1/80) | A (1) | ( | |
| White-tailed deer | 1.3 (5/394) | ( | |||
| White-tailed deer | 3.8 (1/26) | A (1) | ( | ||
| Reindeer | A (1) | ( |
N=number of positives for G. duodenalis; T, total analysis samples.