Occurrence and Multi-Locus Genotyping of <i>Giardia duodenalis</i> in Black Goats from Fujian Province, China
<i>Giardia duodenalis</i> is a zoonotic parasite that causes gastrointestinal diseases in both humans and animals. To evaluate the prevalence and genetic diversity of <i>G. duodenalis</i> in black goats, we collected 539 fecal samples from nine districts in Fujian Province, C...
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Animals |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-2615/15/2/199 |
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Summary: | <i>Giardia duodenalis</i> is a zoonotic parasite that causes gastrointestinal diseases in both humans and animals. To evaluate the prevalence and genetic diversity of <i>G. duodenalis</i> in black goats, we collected 539 fecal samples from nine districts in Fujian Province, China. The presence of <i>G. duodenalis</i> was confirmed through nested PCR targeting the SSU rRNA gene, and genotyping was performed at the beta-giardin, glutamate dehydrogenase, and triosephosphate isomerase loci. Among the samples, 115 tested positive, yielding an overall infection rate of 21.34%. Assemblages A and E were identified, with assemblage E being predominant. Statistical analysis revealed significant regional differences in infection rates (<i>p</i> < 0.01), with Zhangzhou exhibiting the highest infection rate (39%) and Fuzhou the lowest (3.13%). No significant differences in infection rates were observed based on age: 24.56% (56/228) for goats <1 year, 14.92% (27/181) for goats 1–2 years, 26.8% (26/97) for goats 2–3 years, and 18.18% (6/33) for goats ≥ 3 years. Similarly, no significant differences were found between sexes: 24.84% (40/161) for males and 19.84% (75/378) for females. Notably, assemblage A, a zoonotic genotype, was detected, indicating a potential risk of cross-species transmission. This study contributes to a deeper understanding of <i>G. duodenalis</i> in black goats and provides critical data for the development of targeted control strategies in Fujian Province. |
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ISSN: | 2076-2615 |