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CRISPR, Quorum Sensing, and Arbitrium as strategic control measures for avian influenza virus

Published: September 10, 2024
By: Guillermo Tellez-Isaias 1, Magdalena Escorcia 2, Inkar Castellanos 1, Victor M. Petrone-Garcia 3, Awad A. Shehata 4, and Alberto Torres-Rodriguez 5.
Summary

Author details:

1 Department of Poultry Science, University of Arkansas Agricultural Experiment Station, Fayetteville, AR 72701, United States; 2 Department of Bird Medicine and Zootechnics. FMVZ-UNAM; 3 Departamento de Ciencias Pecuarias, Universidad Nacional Autónoma de México (UNAM), Cuautitlan Izcalli, Estado de México 54714, México; 4 Bavarian NMR Center (BNMRZ), Structural Membrane Biochemistry, Technical University of Munich, Garching, Germany; 5 Export Mgr. Cobb-Vantress, LLC.
Avian Influenza Virus (AIV) poses a significant threat to both avian populations and human health due to its potential for zoonotic transmission. The emergence of highly pathogenic strains necessitates the development of innovative control strategies. This abstract presents a comprehensive overview of the potential of CRISPR-based technologies, Quorum Sensing (QS) systems, and the application of the synthetic inducer molecule Arbitrium as strategic control measures for mitigating AIV outbreaks. CRISPR-based technologies have revolutionized genetic engineering and hold immense promise in combating AIV. By leveraging the adaptive immune system of prokaryotes, CRISPR offers precise and targeted gene editing capabilities. This enables the creation of AIV-resistant poultry strains by introducing specific antiviral sequences, thereby reducing viral transmission within avian populations. Quorum Sensing, a cell-to-cell communication mechanism utilized by bacteria, can be harnessed to modulate AIV infectivity. By engineering QS systems to detect AIV-specific molecular signatures, it becomes possible to trigger population-wide responses in avian hosts. This includes activating immune responses and initiating antiviral signaling cascades, effectively conferring enhanced resistance to AIV infection. The incorporation of Arbitrium, a synthetic signaling molecule, represents a novel approach to controlling AIV. By engineering avian hosts to recognize Arbitrium, it is possible to orchestrate precise temporal and spatial responses to viral challenges. This programmable control system empowers the host organism to mount robust antiviral defenses upon exposure to AIV, providing an additional layer of protection. Furthermore, a synergistic approach integrating CRISPR, QS, and Arbitrium technologies holds the potential to create a comprehensive and adaptable defense system against AIV. This multi-pronged strategy addresses viral challenges at multiple levels, from genetic modification to populationwide immune responses, thereby bolstering the overall resilience of avian populations to AIV outbreaks. In conclusion, integrating CRISPR-based technologies, Quorum Sensing, and Arbitrium signaling represents a promising avenue for developing strategic control measures against Avian Influenza Virus. The synergistic application of these technologies offers precise and targeted genetic modifications and enables dynamic, population-level responses to AIV challenges. This innovative approach holds significant potential for revolutionizing AIV control strategies and safeguarding both avian and human health.
Keywords: CRISPR, Quorum Sensing, Control Measures, Avian influenza, Poultry.
     
Presented at the First International Avian Influenza Summit 2023. For information on the next edition, click here.
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Authors:
Dr. Guillermo Tellez-Isaias
University of Arkansas (USA)
University of Arkansas (USA)
Socorro Magdalena Escorcia Martínez
UNAM - Universidad Nacional Autónoma de México
UNAM - Universidad Nacional Autónoma de México
Inkar Castellanos
University of Arkansas (USA)
University of Arkansas (USA)
Victor M Petrone
UNAM - Universidad Nacional Autónoma de México
UNAM - Universidad Nacional Autónoma de México
Prof. Dr. Awad Ali Shehata
Alberto Torres
Cobb-Vantress
Cobb-Vantress
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Inkar Castellanos
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