Abstract:
The field of genomics has revolutionized our understanding of arthropod-borne diseases (ABDs) by providing unprecedented insights into the complex interactions between arthropod vectors, pathogens, and their hosts. The importance of genomic approaches in unraveling the molecular mechanisms underlying ABDs, improving the vector surveillance and control strategies, and developing novel interventions. Genomic studies have shed light on the genetic diversity and evolution of arthropod vectors and the pathogens they carry. High-throughput sequencing technologies have facilitated the characterization of vector genomes, revealing key genes involved in vector biology, behavior, and vector-pathogen interactions. Comparative genomics approaches have unraveled the genomic variations between vector species, providing insights into their differential abilities to transmit pathogens and adapt to changing environments. Transcriptomic analyses have uncovered the dynamic gene expression patterns in both vectors and hosts during infection, identifying key molecular pathways involved in pathogen establishment, replication, and transmission. These findings have not only deepened our understanding of the intricate interplay between arthropods, pathogens, and hosts but have also identified potential targets for the development of novel vector control strategies and therapeutics. The application of genomics in vector surveillance has allowed for more accurate and efficient monitoring of vector populations and pathogen detection. By employing next-generation sequencing techniques, researchers can rapidly identify and track the presence of specific pathogens in arthropod vectors, aiding early warning systems and targeted control measures. Genomic surveillance can also provide valuable insights into the spread of drug resistance and the emergence of novel vector-borne diseases. The integration of genomics with advanced computational and bioinformatics tools has enabled the development of predictive models to assess disease transmission dynamics, predict vector distribution, and identify potential disease hotspots. These models contribute to evidence-based decision-making, optimizing the allocation of resources for disease prevention and control.
Page(s):
405-405
DOI:
DOI not available
Published:
Journal: Abstract Book on International Conference on Food and Applied Sciences (ICFAS-23) 3-5 August 23, Volume: 0, Issue: 0, Year: 2023