Background: Cryptosporidium is one of the most prevalent parasites infecting both birds and mammals. To examine the prevalence of Cryptosporidium species and evaluate the public health significance of domestic chickens in Guangdong Province, southern China, we analyzed 1001 fecal samples from 43 intensive broiler chicken farms across six distinct geographical regions.
Methods: Individual DNA samples were subjected to nested PCR-based amplification and sequencing of the small subunit of the nuclear ribosomal RNA gene (SSU rRNA). Analysis of the 60 kDa glycoprotein gene (gp60) was performed to characterize the subtypes of C. meleagridis.
Results: The overall prevalence of Cryptosporidium was 13.2% (95% CI 11.1-15.3) (24 of 43 farms), with C. meleagridis (7.8%), C. baileyi (4.8%) and mixed infections (0.6%). Using the gp60 gene, three subtype families, IIIb, IIIe and IIIg, were identified, including six subtypes: one novel (IIIgA25G3R1a) and five previously reported (IIIbA23G1R1c, IIIbA24G1R1, IIIbA21G1R1a, IIIeA17G2R1 and IIIeA26G2R1). Within these subtypes, five known subtypes were genetically identical to those identified in humans.
Conclusions: This is the first report of C. meleagridis in chickens from Guangdong. The frequent occurrence of C. meleagridis in domestic chickens and the common C. meleagridis subtypes identified in both humans and chickens is of public health significance. Our study indicates that broiler chickens represent a potential zoonotic risk for the transmission of Cryptosporidium in this region.
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http://dx.doi.org/10.1186/s13071-022-05267-x | DOI Listing |
Int J Biol Macromol
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National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei 430070, China; Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture of the People's Republic of China, Wuhan, Hubei 430070, China; International Research Center for Animal Disease, Ministry of Science and Technology of the People's Republic of China, Wuhan, Hubei 430070, China; Guangdong Provincial Key Laboratory of Research on the Technology of Pig-breeding and Pig-disease prevention, Guangzhou, Guangdong 510000, China. Electronic address:
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School of Health Sciences Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
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State Key Laboratory of Livestock and Poultry Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, PR China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Guangzhou, PR China. Electronic address:
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Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China; Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, 530004, China; Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Nanning, 530004, China. Electronic address:
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View Article and Find Full Text PDFEnviron Pollut
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Institute of Agricultural Resources and Environment, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China; Key Laboratory of Plant Nutrition and Fertilizer in South Region, Ministry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Nutrient Cycling and Farmland Conservation/Guangdong Engineering Research Center of Soil Microbes and Cultivated Land Conservation, Guangzhou, 510640, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming, 525000, China; State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Academy of Agricultural Sciences, Guangzhou, China. Electronic address:
The prevalence of antibiotic resistance genes (ARGs) in agricultural soils has garnered significant attention. However, the long-term impacts of various nitroge (N)-substitution fertilization regimes on the distribution of soil ARGs and their dominant drivers in a subtropical triple-cropping system remain largely unexplored. This study employed a metagenomic approach to analyze soil ARGs, microbial communities, mobile genetic elements (MGEs), and viruses from a maize-maize-cabbage rotation field experiment with five different fertilization regimes.
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