Newcastle Disease and Other Avian Paramyxoviruses

Malik, Yashpal Singh; Milton, Arockiasamy Arun Prince; Ghatak, Sandeep; Ghosh, Souvik

doi:10.1007/978-981-16-4554-9_6

Cited by 5 publications

(3 citation statements)

References 58 publications

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“…Newcastle disease is an acute viral infection in poultry and other bird species caused by avian paramyxovirus serotype 1 (APMV-1) viruses (Malik et al, 2021 ). Newcastle disease virus (NDV), APMV-1 is diagnosed by serology or virus isolation tests or real-time reverse-transcription PCR procedure (Wise et al, 2004 ).…”

Section: Related Workmentioning

confidence: 99%

Poultry diseases diagnostics models using deep learning

Machuve

Nwankwo

Mduma

et al. 2022

Front. Artif. Intell.

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Coccidiosis, Salmonella, and Newcastle are the common poultry diseases that curtail poultry production if they are not detected early. In Tanzania, these diseases are not detected early due to limited access to agricultural support services by poultry farmers. Deep learning techniques have the potential for early diagnosis of these poultry diseases. In this study, a deep Convolutional Neural Network (CNN) model was developed to diagnose poultry diseases by classifying healthy and unhealthy fecal images. Unhealthy fecal images may be symptomatic of Coccidiosis, Salmonella, and Newcastle diseases. We collected 1,255 laboratory-labeled fecal images and fecal samples used in Polymerase Chain Reaction diagnostics to annotate the laboratory-labeled fecal images. We took 6,812 poultry fecal photos using an Open Data Kit. Agricultural support experts annotated the farm-labeled fecal images. Then we used a baseline CNN model, VGG16, InceptionV3, MobileNetV2, and Xception models. We trained models using farm and laboratory-labeled fecal images and then fine-tuned them. The test set used farm-labeled images. The test accuracies results without fine-tuning were 83.06% for the baseline CNN, 85.85% for VGG16, 94.79% for InceptionV3, 87.46% for MobileNetV2, and 88.27% for Xception. Finetuning while freezing the batch normalization layer improved model accuracies, resulting in 95.01% for VGG16, 95.45% for InceptionV3, 98.02% for MobileNetV2, and 98.24% for Xception, with F1 scores for all classifiers above 75% in all four classes. Given the lighter weight of the trained MobileNetV2 and its better ability to generalize, we recommend deploying this model for the early detection of poultry diseases at the farm level.

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Section: Related Workmentioning

confidence: 99%

Poultry diseases diagnostics models using deep learning

Machuve

Nwankwo

Mduma

et al. 2022

Front. Artif. Intell.

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“…However, an obstacle to the growth of this industry is diseases such as Newcastle disease (ND), which causes huge economic losses [1]. Newcastle disease is a highly contagious disease of poultry worldwide [2] and was first reported in Nigeria in 1953 [3]. Since then, outbreaks of the disease have been frequently reported in the country [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Molecular characterization of Newcastle disease virus vaccines in Nigeria

Sajo

Saidu

Souley³

et al. 2022

Vet World

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Background and Aim: Newcastle disease (ND) caused by ND virus (NDV) is a serious impediment to effective poultry production in developing countries such as Nigeria. Despite employing vaccination and other control measures to curtail this disease, its severe forms still persist. This study aimed to confirm the virus strains in the NDV vaccine brands commonly used in Nigeria. Materials and Methods: We employed reverse-transcription polymerase chain reaction (RT-PCR), sequencing, and sequence analysis to characterize NDV strains in four NDV vaccines commonly used in Nigeria. Fragments of 300 bp from NDV fusion genes from the vaccines were amplified. Polymerase chain reaction products were sequenced and analyzed using multiple sequence alignment and phylogenetic analyses to characterize the vaccine viruses as pathotypes. Results: All the vaccines gave positive results, confirming the presence of NDV. Multiple sequence alignment and phylogenetic analyses revealed that two of the vaccines had the lentogenic pathotype, while the other two had the mesogenic or velogenic pathotype. Conclusion: This study provides information to facilitate strategies for regular control of the quality of vaccines in Nigeria.

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“…The term virus-like particles (VLPs) refers to a biocompatible and uncontagious recombinant product with a rod-shaped or icosahedral structure (Pushko et al 2013;Nooraei et al 2021). One of the most important infectious diseases that affect the poultry industry -particularly waterfowls like ducks, geese (which have an intermediate function in the viral cross-species transmission), and chickens (more than waterfowls) -is called Newcastle disease (ND), which is caused by Newcastle disease virus (NDV) (Bashir Bello et al 2020;Guo et al 2021;Malik et al 2021). This kind of virus belongs to the genus Avulavirus in the family Paramyxoviridae.…”

Section: Introductionmentioning

confidence: 99%

Developing a vaccine against velogenic sub-genotype seven of Newcastle disease virus based on Virus-like Particles

Firouzamandi

Helan

Moeini

et al. 2022

Preprint

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In the present study, for the first time, we released and assembled the particles of three major structural proteins of velogenic NDV (M, HN, and F glycoproteins) as a NDV-VLPs. The ElISA result of the cytokines of splenocyte suspension cells showed that IL2, IL10, TNF-α, and IFN- ˠ titers were significantly higher (p ≤ 0.05) in mice that were immunized only with NDV-VLPs three times with a 10-day interval, in comparison to those that were immunized with NDV-VLPs twice in a 10-day interval and received a B1 live vaccine boost on the third interval. Flow cytometry results showed that CD8 + titers in the group that only received NDV-VLP was higher than other group. However, serum ELISA results did not show a significantly (p ≥ 0.05) higher NDV antibody titer in NDV-VLPs immunized mice compared to the boosted group. Besides, HI results of SPF chickens vaccinated with NDV-VLPs and boosted with B1 live vaccine were significantly (p ≤ 0.05) higher than those that only received NDV-VLPs. Interestingly, after challenging with NDV sub-genotype VII, all the chickens that were solely vaccinated with NDV-VLPs remained alive (six out of six), whereas two out of six chickens that were vaccinated with NDV-VLPs and also received the B1 live vaccine boost died. In conclusion, our results strongly indicated that the T-cell immune response in an NDV host is more important than the B-cell response. Also, the results of the present study revealed that to completely protect chickens against velogenic NDV strains, a vaccine comprising specific epitopes of velogenic strain is needed.

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Newcastle Disease and Other Avian Paramyxoviruses

Cited by 5 publications

References 58 publications

Poultry diseases diagnostics models using deep learning

Poultry diseases diagnostics models using deep learning

Molecular characterization of Newcastle disease virus vaccines in Nigeria

Developing a vaccine against velogenic sub-genotype seven of Newcastle disease virus based on Virus-like Particles

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