Molecular Genetic Assessment of Nodular Dermatitis Virus in Cattle Herds

Larisa Gnezdilova, Vita Laga, Saida Marzanova, Elena Yarygina, Sergej Pozyabin, Marina Selina

Abstract


Background: The study highlights the significance of data availability in molecular genetic research, focusing on cattle nodular dermatitis virus. Limited data on Russian genetic variants hinders comprehensive virus characterization. Molecular genetic methods are crucial for accurate diagnosis, considering cross-reactions with poxviruses. Increased data availability is essential to improve diagnostics and biosafety in the region.

Method: The researchers conducted a molecular genetic analysis of the gene sequences of the nodular dermatitis virus to assess the variability of the virus. The authors used the GenBank database to compare sequences and used the MEGA X program for phylogenetic analysis and sequence alignment.

Results: The sequences of the nodular dermatitis virus closest to the Russian genetic variants have been determined. The volumes of available epizootiological and molecular genetic data were compared, and the circulation of the vaccine strain was confirmed.

Conclusion: The article emphasizes the need to increase the availability of data on the genetic sequences of Russian samples to fully characterize the genetic diversity of the nodular dermatitis virus. Despite the limited data, the authors observed a tendency to increase genetic diversity. They recommend isolating and storing the virus in the cell culture to enhance genetic information.

Keywords: Databases; Epizootiology; Molecular Genetic Analysis; Nodular Dermatitis  


Full Text:

PDF

References


Sattarova R, Shynybaev K, Bakiyeva F, Strochkov V, Boranbayeva K, Zhanserkenova O, Kassymbekova S, Ibadullayeva A, Khamzina A. Metagenomic Analysis and Identification of Epizootic Strains of the Causative Agent of Infectious Bovine Keratoconjunctivitis in Kazakhstan. International Journal of Veterinary Science, (2023); 12: 822–831.

Ismailov I, Kılınç N, Kumar Magarde B, Musheer M, Ahmad Sh. A systematic review of the role of surfactants in bronchial asthma: Implications for pathogenesis and treatment of the disease. Gaceta Medica de Caracas, (2024); 132(Supl 1): 152-159.

Nametov A, Yertleuova B, Orynkhanov K, Semenenkoc MP, Sidikhov B, Murzabayev K, Dushayeva L, Ichshanova A, Marat M. Evaluation of the antibacterial effect of Artemisia lerchiana compared with various medicines. Brazilian Journal of Biology, (2023); 83: 1-7.

Hunter P, Wallace D. Lumpy skin disease in southern Africa: A review of the disease and aspects of control. Journal of the South African Veterinary Association (2001); 72(2): 68-71.

Coetzer JA. Lumpy skin disease. Infectious diseases of livestock. 2004: 1268-1276. University Press Southern Africa, Cape Town.

Vorster J , Mapham P. Lumpy skin disease. Livestock Health and Production Review, (2008); 10(1): 16-21.

Bedeković T, Šimić I, Krešić N, Lojkić I. Detection of lumpy skin disease virus, in skin lesions, blood, nasal swabs and milk following preventive vaccination. Transboundary and Emerging Diseases, (2018); 65(2): 491-496.

Information on the epizootic situation in the Russian Federation. https://fsvps.gov.ru/sites/default/files/files/iac/maps/2022/30-12/nd.pdf Accessed on the 11th of August 2023.

Tulman E, Afonso C, Lu Z, Zsak L, Kutish GF, Rock DL. Genome of lumpy skin disease virus. Journal of Virology, (2001); 75(15): 7122-7130.

Mathijs E, Vandenbussche F, Haegeman A, King A, Nthangeni B, Potgieter C, Maartens L, Van Borm S, De Clercq K. Complete genome sequences of the neethling-like lumpy skin disease virus strains obtained directly from three commercial live attenuated vaccines. Genome Announcements, (2016); 4(6): 1-2.

Kononov AV, Sprygin AV, Kononova SV, Nesterov AA, Prutnikov PV, Artyukhova YY, Kostrova YS, Shumilova IN. Detection of the genome of the virus of cattle infectious nodular dermatitis in field samples from cattle in the territory of the Russian Federation. Veterinary today, (2018); 1: 29-32.

Gnezdilova LA, Panin AN, Pozyabin SV, Selina MV, Borunova SM. Diagnosis and prevention of infectious animal diseases based on monitoring, molecular diagnostics, and genomics. International Journal of Ecosystems and Ecology Science, (2022); 12(3): 459-470.

Gnezdilova LA, Laga VYu, Marzanova SN, Pozyabin S, Yarygina E. Distribution of genetic variants of the rabies virus in the Russian Federation. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, (2022); 13(12): 1-8.

Klausner Z, Fattal E, Klement E. Using synoptic systems’ typical wind trajectories for the analysis of potential atmospheric long‐distance dispersal of lumpy skin disease virus. Transboundary and Emerging Diseases, (2017); 64(2): 398-410.

Biswas S, Noyce RS, Babiuk LA, Lung O, Bulach DM, Bowden TR, Boyle DB, Babiuk S, Evans DH. Extended sequencing of vaccine and wild-type capripoxvirus isolates provides insights into genes modulating virulence and host range. Transboundary and Emerging Diseases, (2020); 67(1): 80-97.

Sprygin AV, Shalina KA, Shumilova IN, Byadovskaya OP, Kononov AV. 2021. Distribution of vaccine-like isolates of the infectious nodular dermatitis virus in cattle in the Russian Federation in 2018. Molecular diagnostics: Proceedings of the 10th International research and practice conference, 2021; 2: 169-170. Yulis, Tambov.

Chen DY, Turcinovic J, Feng S, Kenney DJ, Chin CV, Choudhary MC, Conway HL, Semaan M, Close BJ, Tavares AH, Seitz S, Khan N, Kapell S, Crossland NA, Li JZ, Douam F, Baker SC, Connor JH, Saeed, M. Cell culture systems for isolation of SARS-CoV-2 clinical isolates and generation of recombinant virus. IScience, (2023); 26(5): 1-10.

Laga VYu, Marzanova SN, Yarygina EI, Pozyabin SV, Gnezdilova LA, Selina MV. Availability of various types of data on pathogens using the example of nodular dermatitis virus. Proceedings of the national research and practice conference for young scientists, postgraduates and students. 2022: 12-17. Selskokhozyaistvennye tekhnologii, Moscow.

Stärk KDC, Pękala A, Muellner P. Use of molecular and genomic data for disease surveillance in aquaculture: Towards improved evidence for decision making. Preventive Veterinary Medicine, (2019); 167: 190–195.

Wheeler NE, Price V, Cunningham-Oakes E, Tsang KK, Nunn JG, Midega JT, Anjum MF, Wade MJ, Feasey NA, Peacock SJ, Jauneikaite E, Baker KS. Innovations in genomic antimicrobial resistance surveillance. The Lancet Microbe, (2023); 4(12): e1063-e1070

Liu H, Han X, Lin X, Zhu X, Wei Y. Impact of vaccine measures on the transmission dynamics of COVID-19. PLoS One, (2023); 18(8): e0290640.


Refbacks

  • There are currently no refbacks.