Highly sensitive nested PCR and rapid immunochromatographic detection of Babesia bovis and Babesia bigemina infection in a cattle herd with acute clinical and fatal cases in Argentina

2019 ◽  
Vol 67 (S2) ◽  
pp. 159-164 ◽  
Author(s):  
Sabrina Ganzinelli ◽  
Daniel Benitez ◽  
Sambuu Gantuya ◽  
Azirwan Guswanto ◽  
Monica Florin‐Christensen ◽  
...  
Keyword(s):  
Nested Pcr ◽  
Babesia Bovis ◽  
Cattle Herd ◽  
Babesia Bigemina ◽  
Highly Sensitive

scholarly journals Nested PCR Detection and Phylogenetic Analysis of Babesia bovis and Babesia bigemina in Cattle from Peri-Urban Localities in Gauteng Province, South Africa

2014 ◽  
Vol 76 (1) ◽  
pp. 145-150 ◽  
Author(s):  
Phillip Senzo MTSHALI ◽  
Ana Mbokeleng TSOTETSI ◽  
Matlhahane Molifi Oriel THEKISOE ◽  
Moses Sibusiso MTSHALI
Keyword(s):  
South Africa ◽  
Phylogenetic Analysis ◽  
Nested Pcr ◽  
Pcr Detection ◽  
Babesia Bovis ◽  
Babesia Bigemina ◽  
Gauteng Province

scholarly journals Characterization of cattle tick fever in calves from the northwestern region of Minas Gerais, Brazil

2020 ◽  
Vol 29 (1) ◽  
Author(s):  
Michele Bahia ◽  
Jullyana de Souza Silva ◽  
Iany Santos Gontijo ◽  
Matheus Dias Cordeiro ◽  
Priscilla Nunes dos Santos ◽  
...  
Keyword(s):  
Nested Pcr ◽  
Age Groups ◽  
Minas Gerais ◽  
Babesia Bovis ◽  
Cattle Tick ◽  
Babesia Bigemina ◽  
Blood Smears ◽  
Northwestern Region ◽  
Pcr Techniques

Abstract The present study aimed to characterize the importance of the Anaplasma marginale, Babesia bovis and Babesia bigemina in the genesis of cattle tick fever (CTF) among dairy calves in the northwest of Minas Gerais, Brazil. Blood samples from 300 calves were collected, followed by DNA extraction and nested PCR using oligonucleotide primers to amplify fragments of the semi-nested for the msp5 gene (A. marginale), sbp-4 (B. bovis) and rap-1a (B. bigemina) Among the examined calves, the prevalence of A. marginale was 55.6% (n=167/300), B. bovis was 4.0% (n=12/300) and B. bigemina was 15.3% (n=46/300), by PCR techniques. Parasitic forms of A. marginale and B. bigemina were found in 36,3% and 2,6% of the blood smears while B. bovis was not detected. There was a statistical difference between the positivity of infected animals in the age groups 1 (10-70 days) and (>70-300 days) for A. marginale and B. bigemina. A total of 15 calves with the classic symptoms of disease were examined, and the samples obtained were confirmed as a simple infection by A. marginale through semi-nested PCR. These results confirm bovine anaplasmosis as the primary cause of CTF among the calves of dairy cattle within the studied area.

scholarly journals Applying Machine Learning to Predict the Exportome of Bovine and Canine Babesia Species That Cause Babesiosis

Pathogens ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 660
Author(s):  
Stephen J. Goodswen ◽  
Paul J. Kennedy ◽  
John T. Ellis
Keyword(s):  
Machine Learning ◽  
Severe Disease ◽  
Economic Loss ◽  
Babesia Bovis ◽  
Training Data ◽  
Babesia Bigemina ◽  
Bovine Babesiosis ◽  
Canine Babesiosis ◽  
Clinically Significant ◽  
Significant Disease

Babesia infection of red blood cells can cause a severe disease called babesiosis in susceptible hosts. Bovine babesiosis causes global economic loss to the beef and dairy cattle industries, and canine babesiosis is considered a clinically significant disease. Potential therapeutic targets against bovine and canine babesiosis include members of the exportome, i.e., those proteins exported from the parasite into the host red blood cell. We developed three machine learning-derived methods (two novel and one adapted) to predict for every known Babesia bovis, Babesia bigemina, and Babesia canis protein the probability of being an exportome member. Two well-studied apicomplexan-related species, Plasmodium falciparum and Toxoplasma gondii, with extensive experimental evidence on their exportome or excreted/secreted proteins were used as important benchmarks for the three methods. Based on 10-fold cross validation and multiple train–validation–test splits of training data, we expect that over 90% of the predicted probabilities accurately provide a secretory or non-secretory indicator. Only laboratory testing can verify that predicted high exportome membership probabilities are creditable exportome indicators. However, the presented methods at least provide those proteins most worthy of laboratory validation and will ultimately save time and money.

scholarly journals Stable transformation of Babesia bigemina and Babesia bovis using a single transfection plasmid

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Marta G. Silva ◽  
Donald P. Knowles ◽  
Monica L. Mazuz ◽  
Brian M. Cooke ◽  
Carlos E. Suarez
Keyword(s):  
Stable Transformation ◽  
Babesia Bovis ◽  
Babesia Bigemina

Serological responses to Babesia bovis vaccination in cattle previously infected with Babesia bigemina

2010 ◽  
Vol 170 (1-2) ◽  
pp. 30-36 ◽  
Author(s):  
M.P. Combrink ◽  
P.C. Troskie ◽  
F. Du Plessis ◽  
A.A. Latif
Keyword(s):  
Babesia Bovis ◽  
Babesia Bigemina

scholarly journals Babesia bovis and Babesia bigemina infection levels estimated by qPCR in Angus cattle from an endemic area of São Paulo state, Brazil

2016 ◽  
Vol 7 (5) ◽  
pp. 657-662 ◽  
Author(s):  
R. Giglioti ◽  
H.N. Oliveira ◽  
C.H. Santana ◽  
A.M.G. Ibelli ◽  
T.A. Néo ◽  
...  
Keyword(s):  
Endemic Area ◽  
Sao Paulo ◽  
Babesia Bovis ◽  
São Paulo ◽  
Babesia Bigemina ◽  
Paulo State ◽  
Angus Cattle ◽  
São Paulo State

scholarly journals Molecular survey of cattle ticks in Burundi: First report on the presence of the invasive Rhipicephalus microplus tick

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261218
Author(s):  
Lionel Nyabongo ◽  
David O. Odongo ◽  
Gad Milton ◽  
Eunice Machuka ◽  
Patrick Vudriko ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Tick Species ◽  
Rhipicephalus Appendiculatus ◽  
Rhipicephalus Microplus ◽  
Babesia Bovis ◽  
12S Rrna ◽  
Rrna Gene ◽  
Babesia Bigemina ◽  
Cattle Ticks ◽  
Agroecological Zones

A recent research study on prevalence of tick-borne pathogens in Burundi reported high prevalence and endemicity of Theileria parva, Anaplasma marginale and Babesia bigemina infections in cattle. Detailed information about tick species infesting animals, their distribution and genetic diversity in Burundi is outdated and limited. This study therefore assessed the prevalence and genetic diversity of tick species infesting cattle across agroecological zones (AEZs) in Burundi. A cross-sectional study on the occurrence of tick species was conducted in 24 districts of Burundi between October and December 2017. Differential identification and characterization of ticks collected was conducted using tick morphological keys and molecular tools (cox1 and 12S rRNA gene). Chi-square test was used to test for association between agroecological zones and the prevalence of tick species. Phylogenetic relationships were inferred using bayesian and maximum likelihood algorithms. A total of 483 ticks were collected from the five AEZs sampled. Six tick species comprising of Rhipicephalus appendiculatus, R. sanguineus, R. evertsi evertsi, R. microplus, R. decoloratus and Amblyomma variegatum were observed. Rhipicephalus appendiculatus were the most prevalent ticks (~45%). A total of 138 specimens (28%) were found to be Rhipicephalus microplus, suggesting an emerging threat for cattle farmers. Twelve R. appendiculatus cox1 haplotypes were obtained from 106 specimens that were sequenced. Two cox1 haplotypes of R. microplus which clustered into previously reported Clade A were observed. Rhipicephalus sanguineus and R. evertsi evertsi ticks, the vectors of numerous zoonotic pathogens, were collected from cattle, which constitute a high risk for public health. These findings reveal an overlapping distribution of tick vectors in Burundi. The design of ticks and tick-borne diseases control strategies should consider the distribution of different vectors across the AEZs particularly the presence of the highly invasive R. microplus tick in Burundi and the potential risk of introducing the pathogenic Babesia bovis.

Sign in / Sign up

Export Citation Format

Share Document