Detection and molecular characterization of Cryptosporidium spp. in dairy calves in Lisbon and Tagus Valley, Portugal

被引:0
|
作者
Louro, Mariana [1 ,2 ]
Bexiga, Ricardo [1 ,2 ]
da Fonseca, Isabel Pereira [1 ,2 ]
Gomes, Jacinto [1 ,2 ,3 ]
机构
[1] Univ Lisbon, Fac Vet Med, CIISA Ctr Interdisciplinary Res Anim Hlth, Lisbon, Portugal
[2] Associate Lab Anim & Vet Sci AL4AnimalS, Lisbon, Portugal
[3] Polytech Inst Portalegre, Agrarian Sch Elvas, Portalegre, Portugal
来源
VETERINARY PARASITOLOGY- REGIONAL STUDIES AND REPORTS | 2024年 / 47卷
关键词
Cryptosporidium parvum; Cryptosporidium bovis; Calf; Portugal; Subtype; GIARDIA-DUODENALIS; SUBTYPE ANALYSIS; BEEF-CATTLE; GOAT KIDS; PARVUM; GENOTYPES; IDENTIFICATION; EPIDEMIOLOGY; PREVALENCE; RUMINANTS;
D O I
10.1016/j.vprsr.2023.100964
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
Cryptosporidium is a protozoan parasite with worldwide distribution, infecting a wide range of hosts with some zoonotic species. Calves have been identified as one of the most common reservoirs of this parasite. However, little is known about the genetics of Cryptosporidium in calves in Portugal. This study aimed to molecularly characterize infections of Cryptosporidium in pre-weaned calves from the Lisbon and Tagus Valley (LTV) in Portugal. Fifty-two samples were collected from calves from eight dairy and two beef farms in LTV, Portugal. Cryptosporidium oocysts were detected by Modified Ziehl-Neelsen staining (MZN) and direct immunofluorescent assay (DFA). MZN and DFA revealed the presence of Cryptosporidium oocysts in 40.4% (21/52) and 67.3% (35/ 52) samples, respectively. Positive samples were analyzed by PCR-RFLP of the 18 s rRNA gene for species identification. DNA amplification of the 18S rRNA gene was successful for 88.6% (31/35) of samples. Cryptosporidium parvum was identified in 96.8% (30/31) of the samples, and from one sample Cryptosporidium bovis was identified. Cryptosporidium parvum positive samples were subtyped by sequencing the PCR product of a partial fragment of the 60 kDa glycoprotein (gp60) gene. Subtype analysis of the C. parvum isolates revealed that all isolates belonged to subtype family IIa. Four subtypes were recognized within this subtype family, including the hyper-transmissible IIaA15G2R1 subtype that is the most frequently reported worldwide (27/30), IIaA14G2R1 (1/30), IIaA16G2R1 (1/30) and IIaA19G2R1 (1/30). To our knowledge, this is the first report of C. bovis, and C. parvum subtypes IIaA14G2R1 and IIaA19G2R1 in cattle in LTV, Portugal. The presence of the zoonotic C. parvum subtype in this study suggests that pre-weaned calves are likely to be a significant reservoir of zoonotic C. parvum, highlighting the importance of animal-to-human infection transmission risk. Further molecular studies are required to better understand the epidemiology of cryptosporidiosis in Portugal.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Detection and molecular characterization of Cryptosporidium spp. in dairy calves from the Valdivia province, Chile
    Painean P, Javier
    Raffo C, Eduardo
    Mrcado, Ruben
    Pena F, Sebastian
    Munoz A, Pamela
    REVISTA MVZ CORDOBA, 2022, 27 (01)
  • [2] Prevalence and molecular characterization of Cryptosporidium spp. in dairy and beef cattle in Shanxi, China
    Zhao, Li
    Wang, Mingyuan
    Wang, Lifeng
    Wang, Yan
    Zhang, Shan
    Zhang, Zhansheng
    Chai, Hailiang
    Fan, Wenjun
    Yi, Chao
    Ding, Yulin
    Wang, Jinling
    Sulijid, Jirintai
    Liu, Yonghong
    PARASITOLOGY RESEARCH, 2024, 123 (01)
  • [3] Molecular prevalence of Cryptosporidium spp. in dairy calves in Southern states of India
    Venu, R.
    Latha, B. R.
    Basith, S. Abdul
    Raj, G. Dhinakar
    Sreekumar, C.
    Raman, M.
    VETERINARY PARASITOLOGY, 2012, 188 (1-2) : 19 - 24
  • [4] Identification, molecular characterization and factors associated with occurrences of Cryptosporidium spp. in calves on dairy farms in Brazil
    de Oliveira, Juliana Silva
    Cardoso Martins, Felippe Danyel
    Ladeia, Winni Alves
    Cortela, Isadora de Britto
    Valadares, Manuela Ferraz
    Rorato Nascimento de Matos, Andressa Maria
    Caldart, Eloiza Teles
    Ayres, Henderson
    Navarro, Italmar Teodorico
    Freire, Roberta Lemos
    REVISTA BRASILEIRA DE PARASITOLOGIA VETERINARIA, 2021, 30 (04):
  • [5] Molecular characterization of Cryptosporidium spp. in native calves in Nigeria
    Ayinmode, Adekunle B.
    Olakunle, Fagbemi B.
    Xiao, Lihua
    PARASITOLOGY RESEARCH, 2010, 107 (04) : 1019 - 1021
  • [6] Molecular characterization of Cryptosporidium spp. in dairy calves from the state of So Paulo, Brazil
    Meireles, Marcelo V.
    de Oliveira, Fernando P.
    Teixeira, Weslen Fabricio P.
    Coelho, William M. D.
    Mendes, Luiz Claudio N.
    PARASITOLOGY RESEARCH, 2011, 109 (03) : 949 - 951
  • [7] Molecular Detection and Characterization of Cryptosporidium spp. and Giardia duodenalis in Dairy Calves from Ningxia, China
    Ma, Yue
    Zan, Xiao-Qing
    Liu, Ji-Bing
    Xu, Li-Hua
    Zhao, Hong-Xi
    ACTA PARASITOLOGICA, 2024, 69 (04) : 1876 - 1885
  • [8] Detection and Molecular Characterization of Giardia and Cryptosporidium spp. Circulating in Wild Small Mammals from Portugal
    Lux, Laura
    Ulrich, Rainer G.
    Santos-Silva, Sergio
    Queiros, Joao
    Imholt, Christian
    Klotz, Christian
    Pauperio, Joana
    Pita, Ricardo
    Vale-Goncalves, Helia
    Alves, Paulo Celio
    Mesquita, Joao R.
    ANIMALS, 2023, 13 (03):
  • [9] Prevalence of Cryptosporidiosis and Molecular Characterization of Cryptosporidium spp. in Calves in Erzurum
    Guven, Esin
    Avcioglu, Hamza
    Balkaya, Ibrahim
    Hayirli, Armagan
    Kar, Sirri
    Karaer, Zafer
    KAFKAS UNIVERSITESI VETERINER FAKULTESI DERGISI, 2013, 19 (06) : 969 - 974
  • [10] Molecular characterization of Cryptosporidium isolates from diarrheal dairy calves in France
    Mammeri, Mohamed
    Chevillot, Aurelie
    Chenafi, Ilham
    Thomas, Myriam
    Julien, Christine
    Vallee, Isabelle
    Polack, Bruno
    Follet, Jerome
    Adjou, Karim Tarik
    VETERINARY PARASITOLOGY- REGIONAL STUDIES AND REPORTS, 2019, 18