Molecular Epidemiology of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Guizhou Angus Calves: Dominance of Angus Cattle-Adapted Genotypes and Zoonotic Potential of E. bieneusi
Limited molecular data exist on zoonotic parasites Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Angus calves from Guizhou, China. This study constitutes the first molecular epidemiological survey of these pathogens in this region. 817 fecal samples from Angus calves acros...
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Published in | Microorganisms (Basel) Vol. 13; no. 8; p. 1735 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
MDPI AG
25.07.2025
MDPI |
Subjects | |
Online Access | Get full text |
ISSN | 2076-2607 2076-2607 |
DOI | 10.3390/microorganisms13081735 |
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Abstract | Limited molecular data exist on zoonotic parasites Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Angus calves from Guizhou, China. This study constitutes the first molecular epidemiological survey of these pathogens in this region. 817 fecal samples from Angus calves across 7 intensive beef farms (Bijie City). Nested PCR methods targeting SSU rRNA (Cryptosporidium spp.), gp60 (Cryptosporidium bovis subtyping), bg/gdh/tpi (G. duodenalis), and ITS (E. bieneusi) coupled with DNA sequencing were employed. DNA sequences were analyzed against the NCBI. database. Statistical differences were assessed via a generalized linear mixed-effects model. Cryptosporidium spp. prevalence 23.5% (192/817; 95% CI 28.1–34.6%), with C. bovis predominating 89.6% (172/192; 95% CI 84.4–93.5%) and six subtypes (XXVIa-XXVIf). Highest infection in 4–8-week-olds 29.9% (143/479; 95% CI 25.8–34.1%) (p < 0.01). G. duodenalis: 31.3% (256/817; 95% CI 28.1–34.6%) positive, overwhelmingly assemblage E 97.6% (6/256; 95% CI 0.9–5.0%), zoonotic assemblage A was marginal 0.7% (6/817; 95% CI 0.3–1.6%). Farm-level variation exceeded 10-fold (e.g., Gantang: 55.0% (55/100; 95% CI 44.7–65.0%) vs. Tieshi: 4.9% (5/102; 95% CI 1.6–11.1%). E. bieneusi: prevalence 19.7% (161/817; 95% CI 17.0–22.6%), exclusively zoonotic genotypes BEB4: 49.7% (80/161; 95% CI 41.7–57.7%); I: 40.4% (65/161; 95% CI 32.7–48.4%). Strong diarrhea association (p < 0.01) and site-specific patterns (e.g., Guanyindong: 39.2%). While Giardia exhibited the highest prevalence (31.3%) with minimal zoonotic risk, Enterocytozoon—despite lower prevalence (19.7%)—posed the greatest public health threat due to exclusive circulation of human-pathogenic genotypes (BEB4/I) and significant diarrhea association, highlighting divergent control priorities for these enteric parasites in Guizhou calves. Management/Public health impact: Dominant zoonotic E. bieneusi genotypes (BEB4/I) necessitate: 1. Targeted treatment of 4–8-week-old Angus calves. 2. Manure biofermentation (≥55 °C, 3 days), and 3. UV-disinfection (≥1 mJ/cm2) for karst water to disrupt transmission in this high-humidity region. |
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AbstractList | Limited molecular data exist on zoonotic parasites Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Angus calves from Guizhou, China. This study constitutes the first molecular epidemiological survey of these pathogens in this region. 817 fecal samples from Angus calves across 7 intensive beef farms (Bijie City). Nested PCR methods targeting SSU rRNA (Cryptosporidium spp.), gp60 (Cryptosporidium bovis subtyping), bg/gdh/tpi (G. duodenalis), and ITS (E. bieneusi) coupled with DNA sequencing were employed. DNA sequences were analyzed against the NCBI. database. Statistical differences were assessed via a generalized linear mixed-effects model. Cryptosporidium spp. prevalence 23.5% (192/817; 95% CI 28.1–34.6%), with C. bovis predominating 89.6% (172/192; 95% CI 84.4–93.5%) and six subtypes (XXVIa-XXVIf). Highest infection in 4–8-week-olds 29.9% (143/479; 95% CI 25.8–34.1%) (p < 0.01). G. duodenalis: 31.3% (256/817; 95% CI 28.1–34.6%) positive, overwhelmingly assemblage E 97.6% (6/256; 95% CI 0.9–5.0%), zoonotic assemblage A was marginal 0.7% (6/817; 95% CI 0.3–1.6%). Farm-level variation exceeded 10-fold (e.g., Gantang: 55.0% (55/100; 95% CI 44.7–65.0%) vs. Tieshi: 4.9% (5/102; 95% CI 1.6–11.1%). E. bieneusi: prevalence 19.7% (161/817; 95% CI 17.0–22.6%), exclusively zoonotic genotypes BEB4: 49.7% (80/161; 95% CI 41.7–57.7%); I: 40.4% (65/161; 95% CI 32.7–48.4%). Strong diarrhea association (p < 0.01) and site-specific patterns (e.g., Guanyindong: 39.2%). While Giardia exhibited the highest prevalence (31.3%) with minimal zoonotic risk, Enterocytozoon—despite lower prevalence (19.7%)—posed the greatest public health threat due to exclusive circulation of human-pathogenic genotypes (BEB4/I) and significant diarrhea association, highlighting divergent control priorities for these enteric parasites in Guizhou calves. Management/Public health impact: Dominant zoonotic E. bieneusi genotypes (BEB4/I) necessitate: 1. Targeted treatment of 4–8-week-old Angus calves. 2. Manure biofermentation (≥55 °C, 3 days), and 3. UV-disinfection (≥1 mJ/cm2) for karst water to disrupt transmission in this high-humidity region. Limited molecular data exist on zoonotic parasites Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Angus calves from Guizhou, China. This study constitutes the first molecular epidemiological survey of these pathogens in this region. 817 fecal samples from Angus calves across 7 intensive beef farms (Bijie City). Nested PCR methods targeting SSU rRNA (Cryptosporidium spp.), gp60 (Cryptosporidium bovis subtyping), bg/gdh/tpi (G. duodenalis), and ITS (E. bieneusi) coupled with DNA sequencing were employed. DNA sequences were analyzed against the NCBI. database. Statistical differences were assessed via a generalized linear mixed-effects model. Cryptosporidium spp. prevalence 23.5% (192/817; 95% CI 28.1–34.6%), with C. bovis predominating 89.6% (172/192; 95% CI 84.4–93.5%) and six subtypes (XXVIa-XXVIf). Highest infection in 4–8-week-olds 29.9% (143/479; 95% CI 25.8–34.1%) (p < 0.01). G. duodenalis: 31.3% (256/817; 95% CI 28.1–34.6%) positive, overwhelmingly assemblage E 97.6% (6/256; 95% CI 0.9–5.0%), zoonotic assemblage A was marginal 0.7% (6/817; 95% CI 0.3–1.6%). Farm-level variation exceeded 10-fold (e.g., Gantang: 55.0% (55/100; 95% CI 44.7–65.0%) vs. Tieshi: 4.9% (5/102; 95% CI 1.6–11.1%). E. bieneusi: prevalence 19.7% (161/817; 95% CI 17.0–22.6%), exclusively zoonotic genotypes BEB4: 49.7% (80/161; 95% CI 41.7–57.7%); I: 40.4% (65/161; 95% CI 32.7–48.4%). Strong diarrhea association (p < 0.01) and site-specific patterns (e.g., Guanyindong: 39.2%). While Giardia exhibited the highest prevalence (31.3%) with minimal zoonotic risk, Enterocytozoon—despite lower prevalence (19.7%)—posed the greatest public health threat due to exclusive circulation of human-pathogenic genotypes (BEB4/I) and significant diarrhea association, highlighting divergent control priorities for these enteric parasites in Guizhou calves. Management/Public health impact: Dominant zoonotic E. bieneusi genotypes (BEB4/I) necessitate: 1. Targeted treatment of 4–8-week-old Angus calves. 2. Manure biofermentation (≥55 °C, 3 days), and 3. UV-disinfection (≥1 mJ/cm[sup.2]) for karst water to disrupt transmission in this high-humidity region. Limited molecular data exist on zoonotic parasites Cryptosporidium spp., Giardia duodenalis , and Enterocytozoon bieneusi in Angus calves from Guizhou, China. This study constitutes the first molecular epidemiological survey of these pathogens in this region. 817 fecal samples from Angus calves across 7 intensive beef farms (Bijie City). Nested PCR methods targeting SSU rRNA ( Cryptosporidium spp.), gp60 ( Cryptosporidium bovis subtyping), bg / gdh / tpi ( G. duodenalis ), and ITS ( E. bieneusi ) coupled with DNA sequencing were employed. DNA sequences were analyzed against the NCBI. database. Statistical differences were assessed via a generalized linear mixed-effects model. Cryptosporidium spp. prevalence 23.5% (192/817; 95% CI 28.1–34.6%), with C. bovis predominating 89.6% (172/192; 95% CI 84.4–93.5%) and six subtypes (XXVIa-XXVIf). Highest infection in 4–8-week-olds 29.9% (143/479; 95% CI 25.8–34.1%) ( p < 0.01). G. duodenalis : 31.3% (256/817; 95% CI 28.1–34.6%) positive, overwhelmingly assemblage E 97.6% (6/256; 95% CI 0.9–5.0%), zoonotic assemblage A was marginal 0.7% (6/817; 95% CI 0.3–1.6%). Farm-level variation exceeded 10-fold (e.g., Gantang: 55.0% (55/100; 95% CI 44.7–65.0%) vs. Tieshi: 4.9% (5/102; 95% CI 1.6–11.1%). E. bieneusi : prevalence 19.7% (161/817; 95% CI 17.0–22.6%), exclusively zoonotic genotypes BEB4: 49.7% (80/161; 95% CI 41.7–57.7%); I: 40.4% (65/161; 95% CI 32.7–48.4%). Strong diarrhea association ( p < 0.01) and site-specific patterns (e.g., Guanyindong: 39.2%). While Giardia exhibited the highest prevalence (31.3%) with minimal zoonotic risk, Enterocytozoon —despite lower prevalence (19.7%)—posed the greatest public health threat due to exclusive circulation of human-pathogenic genotypes (BEB4/I) and significant diarrhea association, highlighting divergent control priorities for these enteric parasites in Guizhou calves. Management/Public health impact: Dominant zoonotic E. bieneusi genotypes (BEB4/I) necessitate: 1. Targeted treatment of 4–8-week-old Angus calves. 2. Manure biofermentation (≥55 °C, 3 days), and 3. UV-disinfection (≥1 mJ/cm 2 ) for karst water to disrupt transmission in this high-humidity region. Limited molecular data exist on zoonotic parasites Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Angus calves from Guizhou, China. This study constitutes the first molecular epidemiological survey of these pathogens in this region. 817 fecal samples from Angus calves across 7 intensive beef farms (Bijie City). Nested PCR methods targeting SSU rRNA (Cryptosporidium spp.), gp60 (Cryptosporidium bovis subtyping), bg/gdh/tpi (G. duodenalis), and ITS (E. bieneusi) coupled with DNA sequencing were employed. DNA sequences were analyzed against the NCBI. database. Statistical differences were assessed via a generalized linear mixed-effects model. Cryptosporidium spp. prevalence 23.5% (192/817; 95% CI 28.1-34.6%), with C. bovis predominating 89.6% (172/192; 95% CI 84.4-93.5%) and six subtypes (XXVIa-XXVIf). Highest infection in 4-8-week-olds 29.9% (143/479; 95% CI 25.8-34.1%) (p < 0.01). G. duodenalis: 31.3% (256/817; 95% CI 28.1-34.6%) positive, overwhelmingly assemblage E 97.6% (6/256; 95% CI 0.9-5.0%), zoonotic assemblage A was marginal 0.7% (6/817; 95% CI 0.3-1.6%). Farm-level variation exceeded 10-fold (e.g., Gantang: 55.0% (55/100; 95% CI 44.7-65.0%) vs. Tieshi: 4.9% (5/102; 95% CI 1.6-11.1%). E. bieneusi: prevalence 19.7% (161/817; 95% CI 17.0-22.6%), exclusively zoonotic genotypes BEB4: 49.7% (80/161; 95% CI 41.7-57.7%); I: 40.4% (65/161; 95% CI 32.7-48.4%). Strong diarrhea association (p < 0.01) and site-specific patterns (e.g., Guanyindong: 39.2%). While Giardia exhibited the highest prevalence (31.3%) with minimal zoonotic risk, Enterocytozoon-despite lower prevalence (19.7%)-posed the greatest public health threat due to exclusive circulation of human-pathogenic genotypes (BEB4/I) and significant diarrhea association, highlighting divergent control priorities for these enteric parasites in Guizhou calves. Management/Public health impact: Dominant zoonotic E. bieneusi genotypes (BEB4/I) necessitate: 1. Targeted treatment of 4-8-week-old Angus calves. 2. Manure biofermentation (≥55 °C, 3 days), and 3. UV-disinfection (≥1 mJ/cm2) for karst water to disrupt transmission in this high-humidity region.Limited molecular data exist on zoonotic parasites Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Angus calves from Guizhou, China. This study constitutes the first molecular epidemiological survey of these pathogens in this region. 817 fecal samples from Angus calves across 7 intensive beef farms (Bijie City). Nested PCR methods targeting SSU rRNA (Cryptosporidium spp.), gp60 (Cryptosporidium bovis subtyping), bg/gdh/tpi (G. duodenalis), and ITS (E. bieneusi) coupled with DNA sequencing were employed. DNA sequences were analyzed against the NCBI. database. Statistical differences were assessed via a generalized linear mixed-effects model. Cryptosporidium spp. prevalence 23.5% (192/817; 95% CI 28.1-34.6%), with C. bovis predominating 89.6% (172/192; 95% CI 84.4-93.5%) and six subtypes (XXVIa-XXVIf). Highest infection in 4-8-week-olds 29.9% (143/479; 95% CI 25.8-34.1%) (p < 0.01). G. duodenalis: 31.3% (256/817; 95% CI 28.1-34.6%) positive, overwhelmingly assemblage E 97.6% (6/256; 95% CI 0.9-5.0%), zoonotic assemblage A was marginal 0.7% (6/817; 95% CI 0.3-1.6%). Farm-level variation exceeded 10-fold (e.g., Gantang: 55.0% (55/100; 95% CI 44.7-65.0%) vs. Tieshi: 4.9% (5/102; 95% CI 1.6-11.1%). E. bieneusi: prevalence 19.7% (161/817; 95% CI 17.0-22.6%), exclusively zoonotic genotypes BEB4: 49.7% (80/161; 95% CI 41.7-57.7%); I: 40.4% (65/161; 95% CI 32.7-48.4%). Strong diarrhea association (p < 0.01) and site-specific patterns (e.g., Guanyindong: 39.2%). While Giardia exhibited the highest prevalence (31.3%) with minimal zoonotic risk, Enterocytozoon-despite lower prevalence (19.7%)-posed the greatest public health threat due to exclusive circulation of human-pathogenic genotypes (BEB4/I) and significant diarrhea association, highlighting divergent control priorities for these enteric parasites in Guizhou calves. Management/Public health impact: Dominant zoonotic E. bieneusi genotypes (BEB4/I) necessitate: 1. Targeted treatment of 4-8-week-old Angus calves. 2. Manure biofermentation (≥55 °C, 3 days), and 3. UV-disinfection (≥1 mJ/cm2) for karst water to disrupt transmission in this high-humidity region. Limited molecular data exist on zoonotic parasites spp., , and in Angus calves from Guizhou, China. This study constitutes the first molecular epidemiological survey of these pathogens in this region. 817 fecal samples from Angus calves across 7 intensive beef farms (Bijie City). Nested PCR methods targeting SSU rRNA ( spp.), ( subtyping), / / ( ), and ITS ( ) coupled with DNA sequencing were employed. DNA sequences were analyzed against the NCBI. database. Statistical differences were assessed via a generalized linear mixed-effects model. spp. prevalence 23.5% (192/817; 95% CI 28.1-34.6%), with predominating 89.6% (172/192; 95% CI 84.4-93.5%) and six subtypes (XXVIa-XXVIf). Highest infection in 4-8-week-olds 29.9% (143/479; 95% CI 25.8-34.1%) ( < 0.01). : 31.3% (256/817; 95% CI 28.1-34.6%) positive, overwhelmingly assemblage E 97.6% (6/256; 95% CI 0.9-5.0%), zoonotic assemblage A was marginal 0.7% (6/817; 95% CI 0.3-1.6%). Farm-level variation exceeded 10-fold (e.g., Gantang: 55.0% (55/100; 95% CI 44.7-65.0%) vs. Tieshi: 4.9% (5/102; 95% CI 1.6-11.1%). : prevalence 19.7% (161/817; 95% CI 17.0-22.6%), exclusively zoonotic genotypes BEB4: 49.7% (80/161; 95% CI 41.7-57.7%); I: 40.4% (65/161; 95% CI 32.7-48.4%). Strong diarrhea association ( < 0.01) and site-specific patterns (e.g., Guanyindong: 39.2%). While exhibited the highest prevalence (31.3%) with minimal zoonotic risk, -despite lower prevalence (19.7%)-posed the greatest public health threat due to exclusive circulation of human-pathogenic genotypes (BEB4/I) and significant diarrhea association, highlighting divergent control priorities for these enteric parasites in Guizhou calves. Management/Public health impact: Dominant zoonotic genotypes (BEB4/I) necessitate: 1. Targeted treatment of 4-8-week-old Angus calves. 2. Manure biofermentation (≥55 °C, 3 days), and 3. UV-disinfection (≥1 mJ/cm ) for karst water to disrupt transmission in this high-humidity region. |
Audience | Academic |
Author | Hu, Min Tao, Zhuolin Huang, Bingyan Yin, Jigang Qin, Peixi Liu, Hui Zhu, Guan Wang, Chunqun Shi, Kaizhi Zhao, Jiaxian Cacciò, Simone M. |
AuthorAffiliation | 1 National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; peixiqin@webmail.hzau.edu.cn (P.Q.); taozhuolin@webmail.hzau.edu.cn (Z.T.); shkzjjp@163.com (K.S.); jiaxian06280826@163.com (J.Z.); huangbingyan@webmail.hzau.edu.cn (B.H.); liuhui45@webmail.hzau.edu.cn (H.L.); wangchunqun@mail.hzau.edu.cn (C.W.) 2 State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun 130012, China; yinjg@jlu.edu.cn (J.Y.); zhuguan@jlu.edu.cn (G.Z.) 3 Department of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy; simone.caccio@iss.it |
AuthorAffiliation_xml | – name: 1 National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; peixiqin@webmail.hzau.edu.cn (P.Q.); taozhuolin@webmail.hzau.edu.cn (Z.T.); shkzjjp@163.com (K.S.); jiaxian06280826@163.com (J.Z.); huangbingyan@webmail.hzau.edu.cn (B.H.); liuhui45@webmail.hzau.edu.cn (H.L.); wangchunqun@mail.hzau.edu.cn (C.W.) – name: 3 Department of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy; simone.caccio@iss.it – name: 2 State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun 130012, China; yinjg@jlu.edu.cn (J.Y.); zhuguan@jlu.edu.cn (G.Z.) |
Author_xml | – sequence: 1 givenname: Peixi surname: Qin fullname: Qin, Peixi – sequence: 2 givenname: Zhuolin orcidid: 0009-0006-2450-0167 surname: Tao fullname: Tao, Zhuolin – sequence: 3 givenname: Kaizhi surname: Shi fullname: Shi, Kaizhi – sequence: 4 givenname: Jiaxian surname: Zhao fullname: Zhao, Jiaxian – sequence: 5 givenname: Bingyan surname: Huang fullname: Huang, Bingyan – sequence: 6 givenname: Hui surname: Liu fullname: Liu, Hui – sequence: 7 givenname: Chunqun surname: Wang fullname: Wang, Chunqun – sequence: 8 givenname: Jigang surname: Yin fullname: Yin, Jigang – sequence: 9 givenname: Guan orcidid: 0000-0003-3888-0659 surname: Zhu fullname: Zhu, Guan – sequence: 10 givenname: Simone M. surname: Cacciò fullname: Cacciò, Simone M. – sequence: 11 givenname: Min surname: Hu fullname: Hu, Min |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40871239$$D View this record in MEDLINE/PubMed |
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DOI | 10.3390/microorganisms13081735 |
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Keywords | molecular epidemiology zoonotic parasites Giardia duodenalis Cryptosporidium spp Enterocytozoon bieneusi |
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Snippet | Limited molecular data exist on zoonotic parasites Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Angus calves from Guizhou, China.... Limited molecular data exist on zoonotic parasites spp., , and in Angus calves from Guizhou, China. This study constitutes the first molecular epidemiological... Limited molecular data exist on zoonotic parasites Cryptosporidium spp., Giardia duodenalis , and Enterocytozoon bieneusi in Angus calves from Guizhou, China.... |
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SubjectTerms | Age Analysis Animals Beef cattle Calves Cattle Cryptosporidium Cryptosporidium spp Deoxyribonucleic acid Diarrhea Disinfection DNA DNA sequencing Enterocytozoon bieneusi Epidemiology Farms Feces Gene sequencing Genetic aspects Genotype Genotypes Giardia Giardia duodenalis Health risks Immunization Karst molecular epidemiology Nucleotide sequence Nucleotide sequencing Parasites Polymerase chain reaction Protozoa Public health RNA rRNA Software Statistical analysis Zoonoses zoonotic parasites |
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Title | Molecular Epidemiology of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Guizhou Angus Calves: Dominance of Angus Cattle-Adapted Genotypes and Zoonotic Potential of E. bieneusi |
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