1
|
Li D, Li L, Yang J, He J, Zou F, Shu F. Occurrence and Molecular Characterization of Cryptosporidium spp. in Beef Cattle in Yunnan Province, China. Microorganisms 2025; 13:834. [PMID: 40284670 PMCID: PMC12029660 DOI: 10.3390/microorganisms13040834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2025] [Revised: 03/26/2025] [Accepted: 04/01/2025] [Indexed: 04/29/2025] Open
Abstract
Cryptosporidium spp. are protozoan pathogens that are widespread within mammals. In recent years, extensive molecular epidemiology studies on Cryptosporidium in dairy cattle have been conducted in Yunnan and worldwide. However, the infection status of these pathogens in beef cattle in Yunnan remains unclear. To examined the occurrence of Cryptosporidium spp. in beef cattle in Yunnan Province, China, we collected 735 fecal samples from six breeds of beef cattle in five regions of Yunnan. Nested PCR and DNA sequencing revealed the infection, species, and genotypes of Cryptosporidium spp. in these animals. The occurrence of Cryptosporidium spp. in Simmental cattle, Brahman cattle, Aberdeen Angus cattle, Yunnan Yellow cattle, Dulong cattle, and Hereford cattle was 32.9% (137/416), 3.8% (4/106), 24.4% (20/82), 3.8% (3/79), 3.2% (1/31), and 0% (0/21), respectively, with an overall rate of 22.4% (165/735). Regarding the regions, the occurrence of Cryptosporidium spp. in Boshan City, Kunming City, Lincang City, Dehong City and Xishuangbanna City was 41.8%, 28.6%, 19.4%, 6.7%, and 3.8%, respectively. In terms of age, the infection rates of Cryptosporidium spp. in pre-weaned, post-weaned, juvenile, and adult cattle were 62.1%, 52.6%, 42.7%, and 7.7%, respectively. According to sex, male cattle were more susceptible to Cryptosporidium infection (28.0%) than females (15.7%). Four Cryptosporidium species were identified in beef cattle: C. andersoni (n = 146), C. bovis (n = 11), C. ryanae (n = 7), and C. occultus (n = 1). Multilocus sequence typing analysis at the MS1, MS2, MS3, and MS16 gene loci revealed four subtype families of C. andersoni (A4A4A4A1, A5A4A4A1, A4A4A2A1, A1A4A4A1). Additionally, sequencing analysis of the 60-kDa glycoprotein gene identified three subtype families of C. bovis (XXVIc, XXVId, XXVIe) and one subtype family of C. ryanae (XXIb). These findings document the occurrence of Cryptosporidium spp. in beef cattle in Yunnan Province for the first time, providing reference data on the distribution, infection rate, species diversity, and genetic structure of these pathogens in China. To effectively reduce the prevalence of Cryptosporidium spp. in beef cattle in Yunnan, the implementation of proper sanitation management, rigorous rodent control, and farmer education programs is crucial. These integrated measures are critical for maintaining herd health, reducing economic losses, and ensuring meat safety across the province.
Collapse
Affiliation(s)
- Dongxu Li
- The Yunnan Key Laboratory of Veterinary Etiological Biology, Yunnan Agricultural University, Kunming 650201, China; (D.L.); (J.Y.); (J.H.)
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Liujia Li
- College of Agriculture and Biological Science, Dali University, Dali 671003, China;
| | - Jianfa Yang
- The Yunnan Key Laboratory of Veterinary Etiological Biology, Yunnan Agricultural University, Kunming 650201, China; (D.L.); (J.Y.); (J.H.)
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Junjun He
- The Yunnan Key Laboratory of Veterinary Etiological Biology, Yunnan Agricultural University, Kunming 650201, China; (D.L.); (J.Y.); (J.H.)
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Fengcai Zou
- The Yunnan Key Laboratory of Veterinary Etiological Biology, Yunnan Agricultural University, Kunming 650201, China; (D.L.); (J.Y.); (J.H.)
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Fanfan Shu
- The Yunnan Key Laboratory of Veterinary Etiological Biology, Yunnan Agricultural University, Kunming 650201, China; (D.L.); (J.Y.); (J.H.)
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| |
Collapse
|
2
|
Gao JF, Zhou L, Zhang AH, Hou MR, Liu XW, Zhang XH, Wang JW, Wang X, Bai X, Jiao CL, Yang Y, Lan Z, Qiu HY, Wang CR. Prevalence and Molecular Characterization of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Cattle in Heilongjiang Province, Northeast China. Animals (Basel) 2024; 14:1635. [PMID: 38891682 PMCID: PMC11171270 DOI: 10.3390/ani14111635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/26/2024] [Accepted: 05/27/2024] [Indexed: 06/21/2024] Open
Abstract
Crytosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi are important diarrheal pathogens with a global distribution that threatens the health of humans and animals. Despite cattle being potential transmission hosts of these protozoans, the associated risks to public health have been neglected. In the present study, a total of 1155 cattle fecal samples were collected from 13 administrative regions of Heilongjiang Province. The prevalence of Cryptosporidium spp., G. duodenalis, and E. bieneusi were 5.5% (64/1155; 95% CI: 4.2-6.9), 3.8% (44/1155; 95% CI: 2.7-4.9), and 6.5% (75/1155; 95% CI: 5.1-7.9), respectively. Among these positive fecal samples, five Cryptosporidium species (C. andersoni, C. bovis, C. ryanae, C. parvum, and C. occultus), two G. duodenalis assemblages (E and A), and eight E. bieneusi genotypes (BEB4, BEB6, BEB8, J, I, CHS7, CHS8, and COS-I) were identified. Phylogenetic analysis showed that all eight genotypes of E. bieneusi identified in the present study belonged to group 2. It is worth noting that some species/genotypes of these intestinal protozoans are zoonotic, suggesting a risk of zoonotic disease transmission in endemic areas. The findings expanded our understanding of the genetic composition and zoonotic potential of Cryptosporidium spp., G. duodenalis, and E. bieneusi in cattle in Heilongjiang Province.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Chun-Ren Wang
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural Affair, Key Laboratory of Prevention and Control of Zoonotic Diseases of Daqing, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China; (J.-F.G.); (L.Z.); (A.-H.Z.); (M.-R.H.); (X.-W.L.); (X.-H.Z.); (J.-W.W.); (X.W.); (X.B.); (C.-L.J.); (Y.Y.); (Z.L.); (H.-Y.Q.)
| |
Collapse
|
3
|
Qin H, Lang J, Zhang K, Zhang A, Chen Y, Fu Y, Wang C, Zhang L. Study on genetic characteristics of Cryptosporidium isolates and first report of C. parvum IIdA24G2 subtype in dairy cattle in China. Parasitol Res 2024; 123:81. [PMID: 38165486 DOI: 10.1007/s00436-023-08107-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024]
Abstract
Cryptosporidium is an important gastrointestinal parasite that can cause mild to severe diarrhea in various vertebrates, including humans and domestic animals. Infection is prevalent in dairy cattle, particularly calves, resulting in diarrhea and increased mortality with significant production losses. However, the prevalence and identity of Cryptosporidium spp. in cattle in Heilongjiang Province is still poorly known. Our study aimed to investigate the prevalence and species and subtype distribution of Cryptosporidium in cattle in the region. In addition, we evaluated the zoonotic potential of Cryptosporidium isolates and assessed possible transmission routes and health effects of this organism. We collected 909 fecal samples from five different farms in Heilongjiang Province between August and September 2022. The samples underwent Cryptosporidium detection by nested PCR and small subunit (SSU) rRNA gene sequence analysis. Four Cryptosporidium species were identified, including C. parvum, C. bovis, C. ryanae, and C. andersoni, with an overall prevalence of 4.4% (40/909). Based on sequence analysis of the 60 kDa glycoprotein gene of C. parvum and C. bovis, three subtypes of C. parvum were identified, namely two previously known subtypes (IIdA19G1 and IIdA20G1), and one novel subtype (IIdA24G2). Two distinct subtype families were identified in C. bovis (XXVId and XXVIe). The high diversity of Cryptosporidium in dairy cattle and the emergence of a novel subtype of C. parvum in Heilongjiang Province suggest that dairy cattle may serve as a significant source of zoonotic cryptosporidiosis infection in this region.
Collapse
Affiliation(s)
- Huikai Qin
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, Henan Province, China
- Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People's Republic of China
| | - Jiashu Lang
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, Henan Province, China
- Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People's Republic of China
| | - Kaihui Zhang
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, Henan Province, China
- Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People's Republic of China
| | - Aihui Zhang
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang Province, People's Republic of China
| | - Yuancai Chen
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, Henan Province, China
- Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People's Republic of China
| | - Yin Fu
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, Henan Province, China
- Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People's Republic of China
| | - Chunren Wang
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, 163319, Heilongjiang Province, People's Republic of China
| | - Longxian Zhang
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengdong New District, Zhengzhou, 450046, People's Republic of China.
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, Henan Province, China.
- Key Laboratory of Quality and Safety Control of Poultry Products (Zhengzhou), Ministry of Agriculture and Rural Affairs, Zhengzhou, People's Republic of China.
| |
Collapse
|
4
|
Zhao L, Wang M, Wang L, Wang Y, Zhang S, Zhang Z, Chai H, Fan W, Yi C, Ding Y, Wang J, Sulijid J, Liu Y. Prevalence and molecular characterization of Cryptosporidium spp. in dairy and beef cattle in Shanxi, China. Parasitol Res 2023; 123:8. [PMID: 38052995 DOI: 10.1007/s00436-023-08058-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 10/27/2023] [Indexed: 12/07/2023]
Abstract
Cryptosporidium spp. are key gastrointestinal protists in humans and animals worldwide. Infected cattle are considered the main source of cryptosporidiosis outbreaks in humans. However, little is known about the genetic makeup of Cryptosporidium populations in Shanxi province, China. We analyzed 858 fecal samples collected from farms in Shanxi. The presence of Cryptosporidium spp. was determined via polymerase chain reaction and subsequent sequence analysis of the small subunit rRNA gene as well as restriction fragment length polymorphism analysis. Cryptosporidium parvum was subtyped following sequence analysis of the 60 kDa glycoprotein gene (gp60). The overall prevalence of Cryptosporidium in cattle was 11.19%, with a prevalence of 13.30% and 8.67% in Lingqiu and Yingxian, respectively. The overall prevalence of Cryptosporidium in dairy and beef cattle was 10.78% and 11.50%, respectively. Cryptosporidium infection was detected across all analyzed age groups. The overall prevalence of Cryptosporidium in diarrhea and nondiarrhea samples was 18.24% and 9.72%, respectively, whereas that in intensively farmed and free-range cattle was 17.40% and 3.41%, respectively. We identified five Cryptosporidium species, with C. andersoni being the dominant species. Further, two cases of mixed infections of Cryptosporidium species were detected. All identified C. parvum isolates belonged to the subtype IIdA17G1.
Collapse
Affiliation(s)
- Li Zhao
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture and Rural Affairs, Hohhot, China
| | - Mingyuan Wang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
| | - Lifeng Wang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
| | - Yan Wang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
| | - Shan Zhang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
| | - Zhansheng Zhang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
| | - Hailiang Chai
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
| | - Wenjun Fan
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
| | - Chao Yi
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
| | - Yulin Ding
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture and Rural Affairs, Hohhot, China
| | - Jinling Wang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture and Rural Affairs, Hohhot, China
| | - Jirintai Sulijid
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture and Rural Affairs, Hohhot, China
| | - Yonghong Liu
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture and Rural Affairs, Hohhot, China.
| |
Collapse
|
5
|
Occurrence and Molecular Characterization of Cryptosporidium spp. in Dairy Cattle and Dairy Buffalo in Yunnan Province, Southwest China. Animals (Basel) 2022; 12:ani12081031. [PMID: 35454277 PMCID: PMC9025915 DOI: 10.3390/ani12081031] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 04/02/2022] [Accepted: 04/11/2022] [Indexed: 02/01/2023] Open
Abstract
Simple Summary Cryptosporidium spp. are important gastrointestinal pathogens of humans and animals, causing diarrheal diseases. Cattle are considered as one of the main reservoirs of Cryptosporidium for humans. We first report the occurrence of Cryptosporidium spp. in dairy cattle (14.7%, 65/442) and dairy buffalo (1.1%, 3/258) in Yunnan Province of China. The results of this study suggest that divergent Cryptosporidium spp. (such as C. andersoni, C. bovis, C. ryanae, and C. parvum) can be found in asymptomatic dairy cattle and dairy buffalo in Yunnan, China. The IIdA18G1 subtype of C. parvum, which infects humans and other animals, was also found in this study. Thus, attention should be paid towards preventing the transmission of Cryptosporidium spp. in cattle and humans in Yunnan Province. Abstract Cryptosporidium spp. are important foodborne and waterborne pathogens in humans and animals, causing diarrheal diseases. Cattle are one of the reservoirs of Cryptosporidium infection in humans. However, data on the occurrence of Cryptosporidium spp. in cattle in Yunnan Province remains limited. A total of 700 fecal samples were collected from Holstein cows (n = 442) and dairy buffaloes (n = 258) in six counties of Yunnan Province. The occurrence and genotypes of Cryptosporidium spp. were analyzed using nested PCR and DNA sequencing. Furthermore, the C. andersoni isolates were further analyzed using multilocus sequence typing (MLST) at four gene loci (MS1, MS2, MS3, and MS16), and the C. parvum isolate was subtyped by 60-kDa glycoprotein (gp60) loci. The occurrence of Cryptosporidium spp. in Holstein cows and dairy buffaloes was 14.7% (65/442) and 1.1% (3/258), respectively. Of these positive samples, 56 Holstein cow samples represented C. andersoni, four Holstein cow samples represented C. bovis, three Holstein cow samples represented C. ryanae, and one represented C. parvum. Meanwhile, only three dairy buffalo samples represented C. ryanae. MLST analysis of subtypes of C. andersoni detected four subtypes, including A5A4A2A1 (n = 7), A4A4A4A1 (n = 7), A1A4A4A1 (n = 2), and A4A4A2A1 (n = 1). One C. parvum isolate was identified as the IIdA18G1 subtype. These results revealed the high occurrence and high genetic diversity of Cryptosporidium spp. in Holstein cows in Yunnan Province, enriching the knowledge of the population genetic structure of Cryptosporidium spp. in Yunnan Province.
Collapse
|
6
|
Ryan U, Zahedi A, Feng Y, Xiao L. An Update on Zoonotic Cryptosporidium Species and Genotypes in Humans. Animals (Basel) 2021; 11:3307. [PMID: 34828043 PMCID: PMC8614385 DOI: 10.3390/ani11113307] [Citation(s) in RCA: 118] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/12/2021] [Accepted: 11/16/2021] [Indexed: 12/14/2022] Open
Abstract
The enteric parasite, Cryptosporidium is a major cause of diarrhoeal illness in humans and animals worldwide. No effective therapeutics or vaccines are available and therefore control is dependent on understanding transmission dynamics. The development of molecular detection and typing tools has resulted in the identification of a large number of cryptic species and genotypes and facilitated our understanding of their potential for zoonotic transmission. Of the 44 recognised Cryptosporidium species and >120 genotypes, 19 species, and four genotypes have been reported in humans with C. hominis, C. parvum, C. meleagridis, C. canis and C. felis being the most prevalent. The development of typing tools that are still lacking some zoonotic species and genotypes and more extensive molecular epidemiological studies in countries where the potential for transmission is highest are required to further our understanding of this important zoonotic pathogen. Similarly, whole-genome sequencing (WGS) and amplicon next-generation sequencing (NGS) are important for more accurately tracking transmission and understanding the mechanisms behind host specificity.
Collapse
Affiliation(s)
- Una Ryan
- Harry Butler Institute, Murdoch University, Perth, WA 6152, Australia;
| | - Alireza Zahedi
- Harry Butler Institute, Murdoch University, Perth, WA 6152, Australia;
| | - Yaoyu Feng
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; (Y.F.); (L.X.)
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
| | - Lihua Xiao
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; (Y.F.); (L.X.)
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
| |
Collapse
|
7
|
Li S, Zou Y, Wang P, Qu MR, Zheng WB, Wang P, Chen XQ, Zhu XQ. Prevalence and multilocus genotyping of Cryptosporidium spp. in cattle in Jiangxi Province, southeastern China. Parasitol Res 2021; 120:1281-1289. [PMID: 33615408 DOI: 10.1007/s00436-021-07047-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 01/05/2021] [Indexed: 11/24/2022]
Abstract
Cryptosporidium is a genus of single-celled protozoa, infecting a wide range of animals and humans. Although Cryptosporidium infections of cattle have been reported in some provinces in China, there is no available information on the prevalence and predominant species of Cryptosporidium in cattle in Jiangxi province. To investigate the prevalence of Cryptosporidium in cattle in Jiangxi province of China, 556 fecal samples were collected from eight farms in four cities and the SSU rRNA locus of Cryptosporidium was amplified from the DNA of each fecal sample by PCR. The overall prevalence of Cryptosporidium was 12.8% (71/556) in cattle in Jiangxi province, with 24.3% (54/222) in Nanchang city, 7.8% (13/166) in Gao'an city, 3.7% (4/108) in Xinyu city, and 0.0% (0/60) in Ji'an city. The differences of the prevalence rates by region, breed, and age groups were statistically significant. All positive PCR products of Cryptosporidium were successfully sequenced and identified as three Cryptosporidium species, namely Cryptosporidium bovis (1/556, 0.18%), Cryptosporidium ryanae (7/556, 1.3%), and Cryptosporidium andersoni (63/556, 11.3%). Furthermore, 36 C. andersoni isolates were successfully classified into three MLST (multilocus sequence typing) subtypes based on four genetic loci (MS1, MS2, MS3, and MS16). The predominant MLST subtype was A4, A4, A4, A1 (n = 30). These findings not only revealed the prevalence and predominant species of Cryptosporidium in cattle in Jiangxi province, but also provided a baseline for studying the genetic structure of C. andersoni, offering a novel resource for better understanding of the epidemiology of Cryptosporidium infection in cattle in Jiangxi province, southeastern China.
Collapse
Affiliation(s)
- Sen Li
- Jiangxi Provincial Key Laboratory for Animal Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, People's Republic of China.,State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, Gansu Province, People's Republic of China
| | - Yang Zou
- State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, Gansu Province, People's Republic of China
| | - Pei Wang
- Jiangxi Provincial Key Laboratory for Animal Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, People's Republic of China
| | - Ming-Ren Qu
- Jiangxi Provincial Key Laboratory for Animal Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, People's Republic of China
| | - Wen-Bin Zheng
- College of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, Shanxi Province, People's Republic of China
| | - Ping Wang
- Jiangxi Provincial Key Laboratory for Animal Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, People's Republic of China
| | - Xiao-Qing Chen
- Jiangxi Provincial Key Laboratory for Animal Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, People's Republic of China
| | - Xing-Quan Zhu
- State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, Gansu Province, People's Republic of China. .,College of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, Shanxi Province, People's Republic of China. .,Key Laboratory of Veterinary Public Health of Yunnan Province, College of Veterinary Medicine, Yunnan Agricultural University, Kunming, 650201, People's Republic of China.
| |
Collapse
|
8
|
Yang X, Huang N, Jiang W, Wang X, Li N, Guo Y, Kváč M, Feng Y, Xiao L. Subtyping Cryptosporidium ryanae: A Common Pathogen in Bovine Animals. Microorganisms 2020; 8:microorganisms8081107. [PMID: 32722048 PMCID: PMC7466019 DOI: 10.3390/microorganisms8081107] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 07/17/2020] [Accepted: 07/22/2020] [Indexed: 11/18/2022] Open
Abstract
Cryptosporidium ryanae is one of the most common species for cryptosporidiosis in cattle. However, little is known of the genetic characteristics of C. ryanae due to the lack of subtyping tools. In the present study, the 60-kDa glycoprotein (gp60) gene of C. ryanae was identified in whole genome sequence data and analyzed for sequence characteristics using bioinformatics tools. The protein it encodes had some of the typical characteristics of GP60 proteins, with a signal peptide, a furin cleavage site, and a glycosylphosphatidylinositol anchor at the C terminus of the protein, and numerous O-glycosylation sites. The gene sequence was used in the development of a subtyping tool, which was used in characterizing C. ryanae from 110 specimens from dairy cattle, 2 from beef cattle, 6 from yaks, and 4 from water buffaloes in China. Altogether, 17 subtypes from 8 subtype families were recognized, namely XXIa to XXIh. Possible host adaption was identified within this species, reflected by the unique occurrence of XXIa, XXIc, and XXIh in dairy cattle, yaks, and water buffaloes, respectively. Some geographical differences were detected in the distribution of subtype families in dairy cattle; specimens from southern China showed higher genetic diversity than from northern China, and the XXIa subtype family was only seen in dairy cattle in southern and eastern China. The gp60-based subtyping tool should be useful in molecular epidemiological studies of the transmission of C. ryanae.
Collapse
Affiliation(s)
- Xin Yang
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; (X.Y.); (N.H.); (X.W.); (N.L.); (Y.G.)
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
| | - Ni Huang
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; (X.Y.); (N.H.); (X.W.); (N.L.); (Y.G.)
| | - Wen Jiang
- School of Resource and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China;
| | - Xinrui Wang
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; (X.Y.); (N.H.); (X.W.); (N.L.); (Y.G.)
| | - Na Li
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; (X.Y.); (N.H.); (X.W.); (N.L.); (Y.G.)
| | - Yaqiong Guo
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; (X.Y.); (N.H.); (X.W.); (N.L.); (Y.G.)
| | - Martin Kváč
- Institute of Parasitology, Biology Centre of the Academy of Sciences of the Czech Republic, 370 05 České Budějovice, Czech Republic;
| | - Yaoyu Feng
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; (X.Y.); (N.H.); (X.W.); (N.L.); (Y.G.)
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Correspondence: (Y.F.); (L.X.); Tel.: +86-159-2144-6686 (Y.F.); +86-183-0173-2862 (L.X.)
| | - Lihua Xiao
- Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; (X.Y.); (N.H.); (X.W.); (N.L.); (Y.G.)
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Correspondence: (Y.F.); (L.X.); Tel.: +86-159-2144-6686 (Y.F.); +86-183-0173-2862 (L.X.)
| |
Collapse
|
9
|
Liu A, Gong B, Liu X, Shen Y, Wu Y, Zhang W, Cao J. A retrospective epidemiological analysis of human Cryptosporidium infection in China during the past three decades (1987-2018). PLoS Negl Trop Dis 2020; 14:e0008146. [PMID: 32226011 PMCID: PMC7145189 DOI: 10.1371/journal.pntd.0008146] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 04/09/2020] [Accepted: 02/17/2020] [Indexed: 12/15/2022] Open
Abstract
Background Cryptosporidiosis is an emerging infectious disease of public health significance worldwide. The burden of disease caused by Cryptosporidium varies between and within countries/areas. To have a comprehensive understanding of epidemiological status and characteristics of human Cryptosporidium infection in China since the first report in 1987, a retrospective epidemiological analysis was conducted by presenting differences in the prevalence of Cryptosporidium by province, year, population, living environment and season and possible transmission routes and risk factors as well as genetic characteristics of Cryptosporidium in humans. Methodology/Principal findings A systematic search was conducted to obtain epidemiological papers of human Cryptosporidium infection/cryptosporidiosis from PubMed and Chinese databases. Finally, 164 papers were included in our analysis. At least 200,054 people from 27 provinces were involved in investigational studies of Cryptosporidium, with an average prevalence of 2.97%. The prevalence changed slightly over time. Variable prevalences were observed: 0.65–11.15% by province, 1.89–47.79% by population, 1.77–12.87% and 0–3.70% in rural and urban areas, respectively. The prevalence peak occurred in summer or autumn. Indirect person-to-person transmission was documented in one outbreak of cryptosporidiosis in a pediatric hospital. 263 Cryptosporidium isolates were obtained, and seven Cryptosporidium species were identified: C. hominis (48.3%), C. andersoni (22.43%), C. parvum (16.7%), C. meleagridis (8.36%), C. felis (3.04%), C. canis (0.76%) and C. suis (0.38%). Conclusions/Significances This systematic review reflects current epidemiological status and characteristics of Cryptosporidium in humans in China. These data will be helpful to develop efficient control strategies to intervene with and prevent occurrence of human Cryptosporidium infection/cryptosporidiosis in China as well as have a reference effect to other countries. Further studies should focus on addressing a high frequency of C. andersoni in humans and a new challenge with respect to cryptosporidiosis with an increasing population of elderly people and patients with immunosuppressive diseases. Cryptosporidium is a major cause of diarrheal disease in humans globally. Due to the lack of effective drug treatment and vaccine prevention against cryptosporidiosis, it is particularly important to develop efficient control strategies to intervene with and prevent Cryptosporidium infection in humans. The present review presented and analyzed epidemiological status and characteristics of Cryptosporidium infection in humans in China since the first report in 1987. To date, epidemiological investigations of Cryptosporidium infecion have been carried out in different populations in 27 provinces, autonomous regions, and municipalities. Average prevalence of Cryptosporidium was 2.97% (5,933/200,054). Like other infectious disease, due to poor sanitation conditions in rural areas, people living in rural areas had a significantly higher prevalence of Cryptosporidium (1.77–12.87%) than those living in urban areas (0–3.70%). Seven Cryptosporidium species were identified, including C. hominis, C. andersoni, C. parvum, C. meleagridis, C. felis, C. canis and C. suis. This retrospective epidemiological analysis indicates wide geographical distribution of human Cryptosporidium infection/cryptosporidiosis in China.
Collapse
Affiliation(s)
- Aiqin Liu
- Department of Parasitology, Harbin Medical University, Harbin, Heilongjiang, China
- * E-mail: (AL); (JC)
| | - Baiyan Gong
- Department of Parasitology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Xiaohua Liu
- Department of Parasitology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yujuan Shen
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Center`for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, MOH; Shanghai, China
| | - Yanchen Wu
- Department of Parasitology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Weizhe Zhang
- Department of Parasitology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jianping Cao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Center`for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, MOH; Shanghai, China
- * E-mail: (AL); (JC)
| |
Collapse
|
10
|
Das K, Nair LV, Ghosal A, Sardar SK, Dutta S, Ganguly S. Genetic characterization reveals evidence for an association between water contamination and zoonotic transmission of a Cryptosporidium sp. from dairy cattle in West Bengal, India. Food Waterborne Parasitol 2020; 17:e00064. [PMID: 32095634 PMCID: PMC7034051 DOI: 10.1016/j.fawpar.2019.e00064] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 08/08/2019] [Accepted: 08/15/2019] [Indexed: 11/27/2022] Open
Abstract
Cryptosporidium sp. is an enteric parasite with zoonotic potential, and can infect a wide range of vertebrates, including human. Determining the source of infection and the mode of transmission in a new endemic region is crucial for the control of cryptosporidiosis. In the present study, we have assessed the importance of dairy cattle as a potential source of Cryptosporidium infection for humans in a newly recognized endemic region. Cryptosporidium isolates from dairy calves, humans (farm workers) and nearby water bodies were genetically characterized based on 18SrRNA and hsp70 genes. A high incidence of Cryptosporidium infection was identified in our study region. This finding is of public health concern. Cryptosporidium ryanae rather than Cryptosporidium parvum has been identified as the most prevalent infecting species in the study region. Infections were associated with clinical symptoms of infected animals. An incomplete linkage disequilibrium (LD) value with potential recombination events at 18SrRNA locus were identified for the first time in C. ryanae, which was previously reported as a clonal population. Phylogenetic analysis revealed the presence of identical genotypes of a Cryptosporidium sp. from dairy calves, farm workers and nearby water bodies and indicates an association between water contamination and zoonotic transmission of Cryptosporidiosis in our study region.
Collapse
Affiliation(s)
- Koushik Das
- Division of Parasitology, National Institute of Cholera and Enteric Diseases, P-33 CIT Road, Scheme XM, Beliaghata, Kolkata 700010, West Bengal, India
| | - Lakshmi V Nair
- Department of Microbiology, All India Institute of Hygiene and Public Health, 110 Chittaranjan Avenue, Kolkata 700073, West Bengal, India
| | - Ajanta Ghosal
- Division of Parasitology, National Institute of Cholera and Enteric Diseases, P-33 CIT Road, Scheme XM, Beliaghata, Kolkata 700010, West Bengal, India
| | - Sanjib Kumar Sardar
- Division of Parasitology, National Institute of Cholera and Enteric Diseases, P-33 CIT Road, Scheme XM, Beliaghata, Kolkata 700010, West Bengal, India
| | - Shanta Dutta
- Division of Parasitology, National Institute of Cholera and Enteric Diseases, P-33 CIT Road, Scheme XM, Beliaghata, Kolkata 700010, West Bengal, India
| | - Sandipan Ganguly
- Division of Parasitology, National Institute of Cholera and Enteric Diseases, P-33 CIT Road, Scheme XM, Beliaghata, Kolkata 700010, West Bengal, India
| |
Collapse
|
11
|
Molecular detection of Cryptosporidium and Enterocytozoon bieneusi in dairy calves and sika deer in four provinces in Northern China. Parasitol Res 2019; 119:105-114. [PMID: 31773309 DOI: 10.1007/s00436-019-06498-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 09/30/2019] [Indexed: 01/01/2023]
Abstract
The protistan pathogens Cryptosporidium and Enterocytozoon bieneusi can cause significant intestinal diseases in animals and humans. However, limited information is available regarding prevalence and molecular characterization of Cryptosporidium and E. bieneusi in ruminants in Northern China. In this study, the overall prevalence of Cryptosporidium and E. bieneusi was 19.3% (62/321) and 28.97% (93/321) in dairy calves and 1.10% (9/818) and 13.57% (111/818) in sika deer (Cervus nippon) in four provinces in Northern China, respectively. The prevalence of Cryptosporidium and E. bieneusi in different factor groups was various. Five Cryptosporidium species/genotypes were identified, of which C. parvum, C. ryanae, C. bovis, and C. andersoni were only found in dairy calves, and only Cryptosporidium deer genotype was found in sika deer. Moreover, J, I, and BEB4 ITS genotypes of E. bieneusi were found in dairy calves, and six known genotypes (JLD-III, JLD-IX, JLD-VII, EbpC, BEB6, and I) and ten novel genotypes (namely LND-I and JLD-XV to JLD-XXIII) were found in sika deer in this study. Cryptosporidium parvum and E. bieneusi genotype J were identified as the predominant species/genotypes in dairy calves, whereas the predominance of Cryptosporidium spp. and E. bieneusi in sika deer was Cryptosporidium deer genotype and BEB6, respectively. The present study reported the prevalence and genotypes of Cryptosporidium and E. bieneusi in dairy calves and sika deer in four provinces in northern China. The present findings also suggest that investigated dairy calves and sika deer may play an important role in the transmission of E. bieneusi and Cryptosporidium to humans and other animals, and also in an effort to better understand the epidemiology of these enteric pathogens in China.
Collapse
|
12
|
Molecular characterization and distribution of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi from yaks in Tibet, China. BMC Vet Res 2019; 15:417. [PMID: 31752852 PMCID: PMC6873568 DOI: 10.1186/s12917-019-2172-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 11/08/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND With worldwide distribution and importance for veterinary medicine, Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi have been found in a wide variety of vertebrate hosts. At present, few available molecular data can be used to understand the features of genetic diversity of these pathogens in areas without or less intensive farming. Dominated by grazing, Tibet is a separate geographic unit in China and yaks are in frequent contact with local herdsmen and necessary for their daily life. Therefore, to investigate the distribution of these pathogens in yaks of Tibet, 577 fecal specimens were screened using nested PCR for the presence and genotypes of the three intestinal pathogens. RESULTS The overall prevalence of Cryptosporidium spp., G. duodenalis, and E. bieneusi were 1.4% (8/577), 1.7% (10/577), and 5.0% (29/577), respectively. Cryptosporidium andersoni (n = 7) and Cryptosporidium bovis (n = 1) were detected by sequence analysis of the SSU rRNA gene. Genotyping at the SSU rRNA and triosephosphate isomerase genes suggested that all G. duodenalis positive specimens belonged to assemblage E. Sequence analysis of the internal transcribed spacer gene identified six known E. bieneusi genotypes: BEB4 (n = 11), I (n = 6), D (n = 5), J (n = 2), CHC8 (n = 1), and BEB6 (n = 1). One subtype (A5,A4,A2,A1) for C. andersoni and three multilocus genotypes for E. bieneusi were identified by multilocus sequence typing. CONCLUSIONS We report for the first time the status of three enteric pathogens infection simultaneously for grazing yaks in Tibet. Yaks in our study are likely to impose a low zoonotic risk for humans. The molecular epidemiology data add to our knowledge of the characteristics of distribution and transmission for these pathogens in Tibet and their zoonotic potential and public health significance.
Collapse
|
13
|
Molecular epidemiology of Cryptosporidium spp. in dairy cattle in Guangdong Province, South China. Parasitology 2018; 146:28-32. [PMID: 29986775 DOI: 10.1017/s0031182018001129] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
To determine the prevalence of Cryptosporidium in dairy cattle in Guangdong Province, South China, 1440 fecal samples were collected from 10 farms and screened for Cryptosporidium with PCR. The overall prevalence of Cryptosporidium was 4.38% (63/1440), and the infection rates in preweaned calves, postweaned calves, heifers and adults were 6.4% (19/297), 6.19% (33/533), 1.48% (4/271) and 2.06% (7/339), respectively. Three Cryptosporidium species, Cryptosporidium andersoni (n = 33), Cryptosporidium bovis (n = 22) and Cryptosporidium ryanae (n = 8) were detected by DNA sequence analysis of the 63 positive samples, and C. andersoni was identified as the most common species on the dairy cattle farms. In preweaned calves, C. bovis was the most prevalent species (9/19, 47.4%). In contrast, C. andersoni was the predominant species (19/33, 57.6%) in postweaned calves and the only species found in heifers and adults. The zoonotic species Cryptosporidium parvum was not detected in this study. Twenty-four C. andersoni isolates were successfully classified into three multilocus sequence typing (MLST) subtypes. MLST subtype A4,A4,A4,A1 was the predominant subtype, and MLST subtype A2,A5,A2,A1, previously found in sheep, was detected in cattle for the first time. A linkage disequilibrium analysis showed that the C. andersoni isolates had a clonal genetic population structure. However, further molecular studies are required to better understand the epidemiology of Cryptosporidium in Guangdong.
Collapse
|
14
|
Tao W, Li Y, Yang H, Song M, Lu Y, Li W. Widespread Occurrence of Zoonotic Cryptosporidium Species and Subtypes in Dairy Cattle from Northeast China: Public Health Concerns. J Parasitol 2017; 104:10-17. [PMID: 29088547 DOI: 10.1645/17-140] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Bovine cryptosporidiosis constitutes a threat to the livestock industry and public health worldwide. In the present study we investigated dairy cattle of all ages in northeast China for the prevalence and genetic traits of Cryptosporidium. Nested polymerase chain reaction of the small subunit rRNA gene was used to identify Cryptosporidium species or genotype. The parasite was detected in 130 of 537 (24.2%) animals sampled from the cities of Harbin (35.2%, 69/196) and Qiqihar (32.1%, 61/190). Cryptosporidium parvum (87/130) was identified as the dominant species by sequence analysis followed by Cryptosporidium bovis (28/130), Cryptosporidium ryanae (5/130), Cryptosporidium andersoni (2/130), Cryptosporidium suis-like genotype (2/130), and mixed C. ryanae/ C. bovis (1/130). Subtyping of C. parvum isolates was based on the DNA polymorphisms of the 60-kDa glycoprotein gene. Subtyping of the C. parvum isolates recognized subtypes IIdA15G1 (24/87) in Harbin and IIdA20G1 (48/87) in Qiqihar. A diversity of Cryptosporidium species/genotype and subtypes was identified in cattle from northeast China. Widespread occurrence of human-pathogenic Cryptosporidium species and subtypes is of public health significance. This is the first study reporting C. parvum subtype IIdA20G1 in China. The findings improve the epidemiological knowledge of bovine cryptosporidiosis in China, highlighting the importance of ongoing Cryptosporidium surveillance.
Collapse
Affiliation(s)
- Wei Tao
- Heilongjiang Key Laboratory for Zoonosis, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Harbin, Heilongjiang 150030, China
| | - Yijing Li
- Heilongjiang Key Laboratory for Zoonosis, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Harbin, Heilongjiang 150030, China
| | - Hang Yang
- Heilongjiang Key Laboratory for Zoonosis, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Harbin, Heilongjiang 150030, China
| | - Mingxin Song
- Heilongjiang Key Laboratory for Zoonosis, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Harbin, Heilongjiang 150030, China
| | - Yixin Lu
- Heilongjiang Key Laboratory for Zoonosis, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Harbin, Heilongjiang 150030, China
| | - Wei Li
- Heilongjiang Key Laboratory for Zoonosis, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Harbin, Heilongjiang 150030, China
| |
Collapse
|
15
|
Feng Y, Xiao L. Molecular Epidemiology of Cryptosporidiosis in China. Front Microbiol 2017; 8:1701. [PMID: 28932217 PMCID: PMC5592218 DOI: 10.3389/fmicb.2017.01701] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 08/23/2017] [Indexed: 12/13/2022] Open
Abstract
Molecular epidemiology of cryptosporidiosis is an active research area in China. The use of genotyping and subtyping tools in prevalence studies has led to the identification of unique characteristics of Cryptosporidium infections in humans and animals. Human cryptosporidiosis in China is exemplified by the high diversity of Cryptosporidium spp. at species and subtype levels, with dominant C. hominis and C. parvum subtypes being rarely detected in other countries. Similarly, preweaned dairy calves, lambs, and goat kids are mostly infected with non-pathogenic Cryptosporidium species (C. bovis in calves and C. xiaoi in lambs and goat kids), with C. parvum starting to appear in dairy calves as a consequence of concentrated animal feeding operations. The latter Cryptosporidium species is dominated by IId subtypes, with IIa subtypes largely absent from the country. Unlike elsewhere, rodents in China appear to be commonly infected with C. parvum IId subtypes, with identical subtypes being found in these animals, calves, other livestock, and humans. In addition to cattle, pigs and chickens appear to be significant contributors to Cryptosporidium contamination in drinking water sources, as reflected by the frequent detection of C. suis, C. baileyi, and C. meleagridis in water samples. Chinese scientists have also made significant contributions to the development of new molecular epidemiological tools for Cryptosporidium spp. and improvements in our understanding of the mechanism involved in the emergence of hyper-transmissible and virulent C. hominis and C. parvum subtypes. Despite this progress, coordinated research efforts should be made to address changes in Cryptosporidium transmission because of rapid economic development in China and to prevent the introduction and spread of virulent and zoonotic Cryptosporidium species and subtypes in farm animals.
Collapse
Affiliation(s)
- Yaoyu Feng
- College of Veterinary Medicine, South China Agricultural UniversityGuangzhou, China
| | - Lihua Xiao
- Division of Foodborne, Waterborne and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and PreventionAtlanta, GA, United States
| |
Collapse
|
16
|
Xiao L, Feng Y. Molecular epidemiologic tools for waterborne pathogens Cryptosporidium spp. and Giardia duodenalis. Food Waterborne Parasitol 2017; 8-9:14-32. [PMID: 32095639 PMCID: PMC7034008 DOI: 10.1016/j.fawpar.2017.09.002] [Citation(s) in RCA: 169] [Impact Index Per Article: 21.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 09/19/2017] [Accepted: 09/19/2017] [Indexed: 01/26/2023] Open
Abstract
Molecular diagnostic tools have played an important role in improving our understanding of the transmission of Cryptosporidium spp. and Giardia duodenalis, which are two of the most important waterborne parasites in industrialized nations. Genotyping tools are frequently used in the identification of host-adapted Cryptosporidium species and G. duodenalis assemblages, allowing the assessment of infection sources in humans and public health potential of parasites found in animals and the environment. In contrast, subtyping tools are more often used in case linkages, advanced tracking of infections sources, and assessment of disease burdens attributable to anthroponotic and zoonotic transmission. More recently, multilocus typing tools have been developed for population genetic characterizations of transmission dynamics and delineation of mechanisms for the emergence of virulent subtypes. With the recent development in next generation sequencing techniques, whole genome sequencing and comparative genomic analysis are increasingly used in characterizing Cryptosporidium spp. and G. duodenalis. The use of these tools in epidemiologic studies has identified significant differences in the transmission of Cryptosporidium spp. in humans between developing countries and industrialized nations, especially the role of zoonotic transmission in human infection. Geographic differences are also present in the distribution of G. duodenalis assemblages A and B in humans. In contrast, there is little evidence for widespread zoonotic transmission of giardiasis in both developing and industrialized countries. Differences in virulence have been identified among Cryptosporidium species and subtypes, and possibly between G. duodenalis assemblages A and B, and genetic recombination has been identified as one mechanism for the emergence of virulent C. hominis subtypes. These recent advances are providing insight into the epidemiology of waterborne protozoan parasites in both developing and developed countries.
Collapse
Affiliation(s)
- Lihua Xiao
- Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA
| | - Yaoyu Feng
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| |
Collapse
|
17
|
Vermeulen LC, Benders J, Medema G, Hofstra N. Global Cryptosporidium Loads from Livestock Manure. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:8663-8671. [PMID: 28654242 PMCID: PMC5645758 DOI: 10.1021/acs.est.7b00452] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 06/08/2017] [Accepted: 06/27/2017] [Indexed: 05/21/2023]
Abstract
Understanding the environmental pathways of Cryptosporidium is essential for effective management of human and animal cryptosporidiosis. In this paper we aim to quantify livestock Cryptosporidium spp. loads to land on a global scale using spatially explicit process-based modeling, and to explore the effect of manure storage and treatment on oocyst loads using scenario analysis. Our model GloWPa-Crypto L1 calculates a total global Cryptosporidium spp. load from livestock manure of 3.2 × 1023 oocysts per year. Cattle, especially calves, are the largest contributors, followed by chickens and pigs. Spatial differences are linked to animal spatial distributions. North America, Europe, and Oceania together account for nearly a quarter of the total oocyst load, meaning that the developing world accounts for the largest share. GloWPa-Crypto L1 is most sensitive to oocyst excretion rates, due to large variation reported in literature. We compared the current situation to four alternative management scenarios. We find that although manure storage halves oocyst loads, manure treatment, especially of cattle manure and particularly at elevated temperatures, has a larger load reduction potential than manure storage (up to 4.6 log units). Regions with high reduction potential include India, Bangladesh, western Europe, China, several countries in Africa, and New Zealand.
Collapse
Affiliation(s)
- Lucie C. Vermeulen
- Environmental
Systems Analysis Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands
- Phone: +31317486594; fax: +31317419000;
e-mail: , (L.C.V.)
| | - Jorien Benders
- Environmental
Systems Analysis Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands
| | - Gertjan Medema
- KWR
Watercycle Research Institute, P.O. Box
1072, 3430 BB Nieuwegein, The Netherlands
- Faculty
of Civil Engineering and Geosciences, Delft
University of Technology, P.O. Box 5048, 2600 GA Delft, The Netherlands
| | - Nynke Hofstra
- Environmental
Systems Analysis Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands
| |
Collapse
|
18
|
Gong C, Cao XF, Deng L, Li W, Huang XM, Lan JC, Xiao QC, Zhong ZJ, Feng F, Zhang Y, Wang WB, Guo P, Wu KJ, Peng GN. Epidemiology of Cryptosporidium infection in cattle in China: a review. ACTA ACUST UNITED AC 2017; 24:1. [PMID: 28098070 PMCID: PMC5264544 DOI: 10.1051/parasite/2017001] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 01/02/2017] [Indexed: 11/17/2022]
Abstract
The present review discusses the findings of cryptosporidiosis research conducted in cattle in China and highlights the currently available information on Cryptosporidium epidemiology, genetic diversity, and distribution in China, which is critical to understanding the economic and public health importance of cryptosporidiosis transmission in cattle. To date, 10 Cryptosporidium species have been detected in cattle in China, with an overall infection rate of 11.9%. The highest rate of infection (19.5%) was observed in preweaned calves, followed by that in juveniles (10.69%), postweaned juveniles (9.0%), and adult cattle (4.94%). The dominant species were C. parvum in preweaned calves and C. andersoni in postweaned, juvenile, and adult cattle. Zoonotic Cryptosporidium species (C. parvum and C. hominis) were found in cattle, indicating the possibility of transmission between humans and cattle. Different cattle breeds had significant differences in the prevalence rate and species of Cryptosporidium. This review demonstrates an age-associated, breed-associated, and geographic-related occurrence of Cryptosporidium and provides references for further understanding of the epidemiological characteristics, and for preventing and controlling the disease.
Collapse
Affiliation(s)
- Chao Gong
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, Sichuan, PR China
| | - Xue-Feng Cao
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, Sichuan, PR China
| | - Lei Deng
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, Sichuan, PR China
| | - Wei Li
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, Sichuan, PR China
| | - Xiang-Ming Huang
- Chengdu Research Base of Giant Panda, Chengdu 611130, Sichuan, PR China
| | - Jing-Chao Lan
- Chengdu Research Base of Giant Panda, Chengdu 611130, Sichuan, PR China
| | - Qi-Cheng Xiao
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, Sichuan, PR China
| | - Zhi-Jun Zhong
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, Sichuan, PR China
| | - Fan Feng
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, Sichuan, PR China
| | - Yue Zhang
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, Sichuan, PR China
| | - Wen-Bo Wang
- Center for Disease Control and Prevention of Chengdu Military Region, Kunming 650118, Yunnan, PR China
| | - Ping Guo
- Center for Disease Control and Prevention of Chengdu Military Region, Kunming 650118, Yunnan, PR China
| | - Kong-Ju Wu
- Chengdu Research Base of Giant Panda, Chengdu 611130, Sichuan, PR China
| | - Guang-Neng Peng
- The Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, Sichuan, PR China
| |
Collapse
|
19
|
Prevalence and multilocus genotyping of Cryptosporidium andersoni in dairy cattle and He cattle in Xinjiang, China. INFECTION GENETICS AND EVOLUTION 2016; 44:313-317. [DOI: 10.1016/j.meegid.2016.07.022] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Revised: 07/17/2016] [Accepted: 07/19/2016] [Indexed: 11/20/2022]
|
20
|
Liu A, Zhang J, Zhao J, Zhao W, Wang R, Zhang L. The first report of Cryptosporidium andersoni in horses with diarrhea and multilocus subtype analysis. Parasit Vectors 2015; 8:483. [PMID: 26394848 PMCID: PMC4580357 DOI: 10.1186/s13071-015-1102-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2015] [Accepted: 09/18/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Horses interact with humans in a wide variety of sport competitions and non-competitive recreational pursuits as well as in working activities. Cryptosporidium spp are one of the most important zoonotic pathogens causing diarrhea of humans and animals. The reports of Cryptosporidium in horses and the findings of zoonotic Cryptosporidium species/genotypes show a necessity to carry out molecular identification of Cryptosporidium in horses, especially in diarrheic ones. The aim of the present study was to understand Cryptosporidium infection and species/genotypes in diarrheic horses, and to trace the source of infection of horse-derived Cryptosporidium isolates at a subtype level. FINDINGS Fecal specimens of 29 diarrheic adult horses were collected in Taikang County in northeastern China's Heilongjiang Province. Cryptosporidium oocysts were concentrated by Sheather's sugar flotation technique, and then examined by a bright-field microscope. Meanwhile, all the specimens were subjected to PCR amplification of the small subunit (SSU) rRNA gene of Cryptosporidium. C. andersoni isolates were further subtyped by multilocus sequence typing (MLST) at the four microsatellite/minisatellite loci (MS1, MS2, MS3 and MS16). One and two Cryptosporidium-positive isolates were obtained in horses by microscopy and by PCR, respectively. The two C. andersoni isolates were identified by sequencing of the SSU rRNA gene of Cryptosporidium. Both of them were identical to each other at the MS1, MS2, MS3 and MS16 loci, and MLST subtype A4,A4,A4,A1 was found here. CONCLUSIONS This is the first report of C. andersoni in horses. The fact that the MLST subtype A4,A4,A4,A1 was reported in cattle suggests a large possibility of transmission of C. andersoni between cattle and horses.
Collapse
Affiliation(s)
- Aiqin Liu
- Department of Parasitology, Harbin Medical University, Harbin, Heilongjiang, 150081, China.
| | - Jia Zhang
- The Turbine Hospital of Harbin, Harbin, Heilongjiang, 150040, China.
| | - Jingmin Zhao
- The Turbine Hospital of Harbin, Harbin, Heilongjiang, 150040, China.
| | - Wei Zhao
- Department of Parasitology, Harbin Medical University, Harbin, Heilongjiang, 150081, China.
| | - Rongjun Wang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450002, China.
| | - Longxian Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, 450002, China.
| |
Collapse
|
21
|
Zhang XX, Tan QD, Zhou DH, Ni XT, Liu GX, Yang YC, Zhu XQ. Prevalence and molecular characterization of Cryptosporidium spp. in dairy cattle, northwest China. Parasitol Res 2015; 114:2781-7. [PMID: 26002827 DOI: 10.1007/s00436-015-4537-5] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Accepted: 05/06/2015] [Indexed: 01/18/2023]
Abstract
Cryptosporidium spp. cause enteric diseases in a wide range of animals, including dairy cattle. However, limited information is available regarding prevalence and molecular characterization of Cryptosporidium spp. in dairy cattle in Gansu province and Ningxia Hui Autonomous Region (NXHAR), northwest China. A total of 2945 dairy feces samples (1257 from Gansu province and 1688 from NXHAR) were collected between December 2012 and March 2014 and were tested by PCR amplification of the small subunit (SSU) rRNA gene. A total of 150 (5.09 %, 58 from Gansu and 92 from NXHAR) samples were PCR-positive for Cryptosporidium, and the prevalence is associated with the region and age of dairy cattle. Species identification showed Cryptosporidium andersoni in 36 samples (24.00 %, 19 from NXHAR and 17 from Gansu), Cryptosporidium ryanae in 24 samples (16.00 %, 13 from NXHAR and 11 from Gansu), Cryptosporidium bovis in 70 samples (46.67 %, 41 from NXHAR and 29 from Gansu), and Cryptosporidium parvum in 20 samples (13.33 %, 19 from NXHAR and 1 from Gansu). A DNA sequence analysis of the gp60 gene suggested that all the 20 C. parvum isolates represented subtype IIdA15G1. These findings indicated the presence of zoonotic Cryptosporidium in Gansu and NXHAR. This is the first report of four species of Cryptosporidium (C. andersoni, C. ryanae, C. bovis, and C. parvum) infection in dairy cattle in Gansu province. This is also the first report of C. ryanae infection in dairy cattle in NXHAR. Effective control strategies should be implemented to prevent and control Cryptosporidium infection in dairy cattle and humans.
Collapse
Affiliation(s)
- Xiao-Xuan Zhang
- State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu province, 730046, People's Republic of China
| | | | | | | | | | | | | |
Collapse
|