International interlaboratory validation of a nested PCR for molecular detection of Babesia bovis and Babesia bigemina, causative agents of bovine babesiosis.


Journal

Veterinary parasitology
ISSN: 1873-2550
Titre abrégé: Vet Parasitol
Pays: Netherlands
ID NLM: 7602745

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 06 01 2022
revised: 27 02 2022
accepted: 01 03 2022
pubmed: 14 3 2022
medline: 20 4 2022
entrez: 13 3 2022
Statut: ppublish

Résumé

Babesia bovis and B. bigemina are tick-transmitted parasites causing bovine babesiosis, characterized by significant morbidity and mortality leading to economic losses to the livestock industry in tropical and subtropical regions worldwide. Animals that recover from acute infection remain carriers with low parasitemia acting as a source of transmission, and often escape detection. An improved diagnosis of a B. bovis and/or B. bigemina infection of carrier animals is enabled by the availability of detection methods with high sensitivity. To this end, two nested PCR assays targeting the cytochrome b (cytb) genes of B. bovis and B. bigemina (cytb-nPCR), have been recently developed and an increased sensitivity with respect to reference protocols has been shown (Romero-Salas et al., 2016). In this study, the specificity against a panel of hemoparasites that potentially co-occur with B. bovis and B. bigemina was demonstrated to ensure applicability of the cytb-nPCR assays in a wide range of regions where bovine babesiosis is endemic. Furthermore, we compared both reported cytb-nPCR assays with reference nPCR and qPCR protocols for (i) their capability to detect carrier animals in the field, and (ii) their reproducibility when performed in different laboratories by independent operators. We show that, in a panel of bovine field samples (n = 100), the cytb-nPCR assays detected a considerably higher number of 25% B. bovis and 61% B. bigemina-positive animals compared to 7% and 20% B. bovis and 55% and 49% B. bigemina-positive animals when tested by reference nPCR and qPCR protocols, respectively. Cytb-nPCRs were also found superior in the detection of carrier animals when field samples from Africa were analyzed. In addition, both the B. bovis and B. bigemina cytb-nPCR assays were independently validated in a single blinded study in three laboratories. Importantly, no significant differences in the number/percentage of infected animals was observed using cytb-nPCR assays. In summary, the cytb-nPCR assays detected a considerably higher number of chronically infected B. bovis and B. bigemina carrier animals compared to reference nPCR and qPCR protocols, when applied in different epidemiological field situations. Furthermore, a high reproducibility between laboratories could be demonstrated.

Identifiants

pubmed: 35279616
pii: S0304-4017(22)00040-1
doi: 10.1016/j.vetpar.2022.109686
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109686

Informations de copyright

Copyright © 2022. Published by Elsevier B.V.

Auteurs

Sabrina Ganzinelli (S)

Instituto de Patobiología Veterinaria, IP-IPVET, CICVyA, INTA-CONICET, Los Reseros y Nicolas Repetto s/n, Hurlingham (B1686WAA), Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.

Charles Byaruhanga (C)

Vectors and Vector-borne Diseases Research Programme, Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort 0110, South Africa.

María E Primo (ME)

Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina; Instituto de Investigación de la Cadena Láctea, INTA-CONICET, Ruta 34 km 227, 2300 Rafaela, Santa Fe, Argentina.

Zinathi Lukanji (Z)

Vectors and Vector-borne Diseases Research Programme, Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort 0110, South Africa.

Kgomotso Sibeko (K)

Vectors and Vector-borne Diseases Research Programme, Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort 0110, South Africa.

Tshepo Matjila (T)

Vectors and Vector-borne Diseases Research Programme, Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort 0110, South Africa.

Luis Neves (L)

Vectors and Vector-borne Diseases Research Programme, Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort 0110, South Africa.

Daniel Benitez (D)

Estación Experimental Agropecuaria INTA-Mercedes, Juan Pujol al Este s/n, W3470, Mercedes, Corrientes, Argentina.

Batmagnai Enkhbaatar (B)

National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Nishi 2 Sen-11, Inada-cho, 080-8555, Obihiro, Hokkaido, Japan; Laboratory of Molecular Genetics, Institute of Veterinary Medicine, Mongolian University of Life Sciences, Ulaanbaatar, Mongolia.

Arifin Budiman Nugraha (AB)

National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Nishi 2 Sen-11, Inada-cho, 080-8555, Obihiro, Hokkaido, Japan; Department of Animal Infectious Diseases and Veterinary Public Health, Faculty of Veterinary Medicine, IPB University, Jl. Agatis, Kampus IPB Dramaga, Bogor, Jawa Barat, 16680, Indonesia.

Ikuo Igarashi (I)

National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Nishi 2 Sen-11, Inada-cho, 080-8555, Obihiro, Hokkaido, Japan.

Monica Florin-Christensen (M)

Instituto de Patobiología Veterinaria, IP-IPVET, CICVyA, INTA-CONICET, Los Reseros y Nicolas Repetto s/n, Hurlingham (B1686WAA), Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.

Leonhard Schnittger (L)

Instituto de Patobiología Veterinaria, IP-IPVET, CICVyA, INTA-CONICET, Los Reseros y Nicolas Repetto s/n, Hurlingham (B1686WAA), Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina. Electronic address: schnittger.leonhard@inta.gob.ar.

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Classifications MeSH