Bovine babesiosis in Northumberland

2021 ◽  
Vol 189 (5) ◽  
pp. 207-208
Author(s):  
Harriet McFadzean ◽  
Ben Strugnell ◽  
Cam Collins ◽  
Alwyn Jones ◽  
L. Paul Phipps ◽  
...  
Keyword(s):  
2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Zain Ul Abadin Zafar ◽  
Kashif Rehan ◽  
M. Mushtaq

This article has been retracted. Please see the Retraction Notice for more detail: 10.1186/s13662-021-03279-y


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hassan Hakimi ◽  
Masahito Asada ◽  
Takahiro Ishizaki ◽  
Shinichiro Kawazu

AbstractBabesia parasite invades exclusively red blood cell (RBC) in mammalian host and induces alterations to host cell for survival. Despite the importance of Babesia in livestock industry and emerging cases in humans, their basic biology is hampered by lack of suitable biological tools. In this study, we aimed to develop a synchronization method for Babesia bovis which causes the most pathogenic form of bovine babesiosis. Initially, we used compound 2 (C2), a specific inhibitor of cyclic GMP-dependent protein kinase (PKG), and a derivative of C2, ML10. While both inhibitors were able to prevent B. bovis egress from RBC and increased percentage of binary forms, removal of inhibitors from culture did not result in a synchronized egress of parasites. Because using PKG inhibitors alone was not efficient to induce a synchronized culture, we isolated viable and invasive B. bovis merozoites and showed dynamics of merozoite invasion and development in RBCs. Using isolated merozoites we showed that BbVEAP, VESA1-export associated protein, is essential for parasite development in the RBC while has no significant role in invasion. Given the importance of invasion for the establishment of infection, this study paves the way for finding novel antigens to be used in control strategies against bovine babesiosis.


Pathogens ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 660
Author(s):  
Stephen J. Goodswen ◽  
Paul J. Kennedy ◽  
John T. Ellis

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.


Author(s):  
Juan Mosqueda ◽  
Diego Josimar Hernández-Silva ◽  
Mario Hidalgo-Ruiz
Keyword(s):  

Author(s):  
Aqeel Ahmad ◽  
Muhammad Farman ◽  
Parvaiz Ahmad Naik ◽  
Nayab Zafar ◽  
Ali Akgul ◽  
...  

2007 ◽  
Vol 116 (3-4) ◽  
pp. 215-218 ◽  
Author(s):  
T.S. Góes ◽  
V.S. Góes ◽  
M.F.B. Ribeiro ◽  
C.M. Gontijo

2019 ◽  
Vol 10 (1) ◽  
pp. 36-42 ◽  
Author(s):  
Rayane Chitolina Pupin ◽  
Carolina de Castro Guizelini ◽  
Ricardo Antônio Amaral de Lemos ◽  
Tessie Beck Martins ◽  
Fernando de Almeida Borges ◽  
...  

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Nicholas Johnson ◽  
L. Paul Phipps ◽  
Harriet McFadzean ◽  
Alex M. Barlow

Abstract Background Bovine babesiosis, commonly known as redwater fever, is a sporadic tick-borne disease in the United Kingdom. Outbreaks occur during the spring, summer and autumn months when ticks are active. This study reports the findings of an investigation of an outbreak of bovine babesiosis during the winter month of February, 2019. Methods DNA from blood, organ and tick samples taken from affected cattle were tested for the presence of piroplasm and Anaplasma phagocytophilum DNA using PCRs directed to the 18S rRNA gene and msp2 gene respectively. The species of piroplasm was confirmed by sequencing. Results Babesia divergens DNA was detected in the blood of five cattle displaying clinical signs of babesiosis within a herd of twenty. This parasite was also detected in three of ten ticks removed from one of the affected cattle. In addition, A. phagocytophilum was detected in three cattle tested and two of ten of the ticks. Conclusions An outbreak of bovine babesiosis during February is unusual as the tick vector, Ixodes ricinus, does not generally become active until temperatures rise later in the year. February of 2019 was unusual as average temperatures during the first week of the month reached over 10 °C, well above historical averages that are typically below 5 °C, and a temperature at which ticks can become active. This unusual weather event is likely to have triggered tick questing, that combined with a co-infection with two tick-borne pathogens caused the severe outbreak of disease.


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