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</script>Genetic strategies for reducing populations of vector mosquitoes or replacing them with those that are not able to transmit pathogens benefit greatly from molecular tools that allow gene manipulation and transgenesis. Mosquito genome sequences and associated EST (expressed sequence tags) databases enable large-scale investigations to provide new insights into evolutionary, biochemical, genetic, metabolic, and physiological pathways. Additionally, comparative genomics reveals the bases for evolutionary mechanisms with particular focus on specific interactions between vectors and pathogens. We discuss how this information may be exploited for the optimization of transgenes that interfere with the propagation and development of pathogens in their mosquito hosts.
Cancer Research, Genome, Insect, Gene Expression, Insect Vectors, Culicidae, Immunology and Microbiology(all), Host-Pathogen Interactions, Disease Transmission, Infectious, Animals, Humans, Databases, Nucleic Acid, Molecular Biology
Cancer Research, Genome, Insect, Gene Expression, Insect Vectors, Culicidae, Immunology and Microbiology(all), Host-Pathogen Interactions, Disease Transmission, Infectious, Animals, Humans, Databases, Nucleic Acid, Molecular Biology
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 62 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
