RA92A recombinant protein as immunogen to protect cattle against tick challenge in Brazil and Uganda

Cunha, Rodrigo Casquero; Saimo-Kahwa, Margaret; Garcia, Marcos Valério; Santos, Francisco Denis Souza; Samuel, Emukule; Nanteza, Ann; Ikwap, Kokas; Akwongo, Claire Julie; Andreotti, Renato

doi:10.14393/bj-v37n0a2021-49905

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…microplus in America and Africa, respectively. However, despite developing cross-protection in most cases, vaccination with Bm86 and its orthologues does not always result in protection against different tick species [ 149 ]. Similarly, subolesin and its orthologs are emerging as promising candidates, since these proteins have been extensively tested against many tick species in laboratory and wild animals, including deer species endemic to America and Eurasia, which are involved in the maintenance of tick and tick-borne pathogen populations.…”

Section: Future Directionsmentioning

confidence: 99%

Universal Tick Vaccines: Candidates and Remaining Challenges

Parizi

Githaka

Logullo

et al. 2023

Animals

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Recent advancements in molecular biology, particularly regarding massively parallel sequencing technologies, have enabled scientists to gain more insight into the physiology of ticks. While there has been progress in identifying tick proteins and the pathways they are involved in, the specificities of tick-host interaction at the molecular level are not yet fully understood. Indeed, the development of effective commercial tick vaccines has been slower than expected. While omics studies have pointed to some potential vaccine immunogens, selecting suitable antigens for a multi-antigenic vaccine is very complex due to the participation of redundant molecules in biological pathways. The expansion of ticks and their pathogens into new territories and exposure to new hosts makes it necessary to evaluate vaccine efficacy in unusual and non-domestic host species. This situation makes ticks and tick-borne diseases an increasing threat to animal and human health globally, demanding an urgent availability of vaccines against multiple tick species and their pathogens. This review discusses the challenges and advancements in the search for universal tick vaccines, including promising new antigen candidates, and indicates future directions in this crucial research field.

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Section: Future Directionsmentioning

confidence: 99%

Universal Tick Vaccines: Candidates and Remaining Challenges

Parizi

Githaka

Logullo

et al. 2023

Animals

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Resistance to natural tick infestation varies with age and coat and hair traits in a tropically adapted beef cattle breed

Abduch,

Reolon,

Ligori

et al. 2024

Veterinary Parasitology: Regional Studies and Reports

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Deep Convolutional Neural Network for Rice Density Prescription Map at Ripening Stage Using Unmanned Aerial Vehicle-Based Remotely Sensed Images

Wei

Luo

et al. 2021

Remote Sensing

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In this paper, UAV (unmanned aerial vehicle, DJI Phantom4RTK) and YOLOv4 (You Only Look Once) target detection deep neural network methods were employed to collected mature rice images and detect rice ears to produce a rice density prescription map. The YOLOv4 model was used for rice ear quick detection of rice images captured by a UAV. The Kriging interpolation algorithm was used in ArcGIS to make rice density prescription maps. Mature rice images collected by a UAV were marked manually and used to build the training and testing datasets. The resolution of the images was 300 × 300 pixels. The batch size was 2, and the initial learning rate was 0.01, and the mean average precision (mAP) of the best trained model was 98.84%. Exceptionally, the network ability to detect rice in different health states was also studied with a mAP of 95.42% in the no infection rice images set, 98.84% in the mild infection rice images set, 94.35% in the moderate infection rice images set, and 93.36% in the severe infection rice images set. According to the severity of rice sheath blight, which can cause rice leaves to wither and turn yellow, the blighted grain percentage increased and the thousand-grain weight decreased, the rice images were divided into these four infection levels. The ability of the network model (R2 = 0.844) was compared with traditional image processing segmentation methods (R2 = 0.396) based on color and morphology features and machine learning image segmentation method (Support Vector Machine, SVM R2 = 0.0817, and K-means R2 = 0.1949) for rice ear counting. The results highlight that the CNN has excellent robustness, and can generate a wide range of rice density prescription maps.

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RA92A recombinant protein as immunogen to protect cattle against tick challenge in Brazil and Uganda

Cited by 3 publications

References 19 publications

Universal Tick Vaccines: Candidates and Remaining Challenges

Universal Tick Vaccines: Candidates and Remaining Challenges

Resistance to natural tick infestation varies with age and coat and hair traits in a tropically adapted beef cattle breed

Deep Convolutional Neural Network for Rice Density Prescription Map at Ripening Stage Using Unmanned Aerial Vehicle-Based Remotely Sensed Images

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