Speculative Species

In Speculative Evolution, we envisioned how species could be further developed to increase their resilience based on scientific publications on synthetic biology, genetic engineering and robotics, and formulated text prompts to create AI-generated images using DALL-E. As a result, each speculative species in the environment has a backstory rooted in real-life scenarios.
 
 


Dengue Mosquito
Dengue Mosquito
2007genetically modified to control dengue virus
Open field trials by Phuc et al., 2007
2054genetic modified for environmentally friendly pest management strategies

Lineage of the 25 species from a total of 29

    • Dengue Mosquito, Species 24-1Samsung G955F, Android 9, Zurich, Switzerland (24-1)
      • Dengue Mosquito, Species 24-1-1Samsung G955F, Android 9, Zurich, Switzerland (24-1-1)
      • Dengue MosquitoSamsung G955F, Android 9, Zurich, Switzerland (24-1-1)
    • Dengue Mosquito, Species 24-11Samsung G955F, Android 9, Lucerne, Switzerland (24-11)
      • Dengue Mosquito, Species 24-11-1Samsung G955U, Android 9, Xi'an, China (24-11-1)
    • Dengue Mosquito, Species 24-2Samsung G955F, Android 9, Zurich, Switzerland (24-2)
      • Dengue Mosquito, Species 24-2-1Samsung G955F, Android 9, Zurich, Switzerland (24-2-1)
    • Dengue Mosquito, Species 24-3Samsung G955F, Android 9, Zurich, Switzerland (24-3)
      • Dengue Mosquito, Species 24-3-1Samsung G955F, Android 9, Zurich, Switzerland (24-3-1)
        • Dengue Mosquito, Species 24-3-1-1Samsung G986U1, Android 13, Monterrey, Mexico (24-3-1-1)
      • Dengue Mosquito, Species 24-3-2Samsung G955U, Android 9, , China (24-3-2)
    • Dengue Mosquito, Species 24-5Samsung G955F, Android 9, Zurich, Switzerland (24-5)
      • Dengue Mosquito, Species 24-5-1Samsung G955U, Android 9, Basel, Switzerland (24-5-1)
    • Dengue Mosquito, Species 24-6, Android 12, , United States (24-6)
      • Dengue Mosquito, Species 24-6-1Samsung G950F, Android 9, São Paulo, Brazil (24-6-1)
        • Dengue Mosquito, Species 24-6-1-1Samsung G955U, Android 9, , China (24-6-1-1)
          • Dengue Mosquito, Species 24-6-1-1-1Samsung G955F, Android 9, Lucerne, Switzerland (24-6-1-1-1)
            • Dengue Mosquito, Species 24-6-1-1-1-1Samsung G955F, Android 9, Lucerne, Switzerland (24-6-1-1-1-1)
            • Dengue Mosquito, Species 24-6-1-1-1-2Samsung G955F, Android 9, Lucerne, Switzerland (24-6-1-1-1-2)
              • Dengue Mosquito, Species 24-6-1-1-1-2-1Samsung G986U1, Android 13, Monterrey, Mexico (24-6-1-1-1-2-1)
    • Dengue Mosquito, Species 24-8Samsung G955U, Android 9, Basel, Switzerland (24-8)
      • Dengue Mosquito, Species 24-8-1Samsung G955U, Android 9, Xi'an, China (24-8-1)
        • Dengue Mosquito, Species 24-8-1-1Samsung G955U, Android 9, Xi'an, China (24-8-1-1)
          • Dengue Mosquito, Species 24-8-1-1-1Samsung G955F, Android 9, Lucerne, Switzerland (24-8-1-1-1)
            • Dengue Mosquito, Species 24-8-1-1-1-1Samsung G955F, Android 9, Lucerne, Switzerland (24-8-1-1-1-1)

Transgenic Mosquitoes and the Fight against Malaria: Managing Technology Push in a Turbulent GMO World

Knols BGJ, Bossin HC, Mukabana WR, et al. of American Journal of Tropical Medicine and Hygiene. Northbrook (IL): American Society of Tropical Medicine and Hygiene; 2007 Dec. Available
https://www.ncbi.nlm.nih.gov/books/NBK1696/

Abstract

Background

Reduction or elimination of vector populations will tend to reduce or eliminate transmission of vector-borne diseases. One potential method for environmentally-friendly, species-specific population control is the Sterile Insect Technique (SIT). SIT has not been widely used against insect disease vectors such as mosquitoes, in part because of various practical difficulties in rearing, sterilization and distribution. Additionally, vector populations with strong density-dependent effects will tend to be resistant to SIT-based control as the population-reducing effect of induced sterility will tend to be offset by reduced density-dependent mortality.

Results

We investigated by mathematical modeling the effect of manipulating the stage of development at which death occurs (lethal phase) in an SIT program against a density-dependence-limited insect population. We found late-acting lethality to be considerably more effective than early-acting lethality. No such strains of a vector insect have been described, so as a proof-of-principle we constructed a strain of the principal vector of the dengue and yellow fever viruses, Aedes (Stegomyia) aegypti, with the necessary properties of dominant, repressible, highly penetrant, late-acting lethality.

Conclusion

Conventional SIT induces early-acting (embryonic) lethality, but genetic methods potentially allow the lethal phase to be tailored to the program. For insects with strong density-dependence, we show that lethality after the density-dependent phase would be a considerable improvement over conventional methods. For density-dependent parameters estimated from field data for Aedes aegypti, the critical release ratio for population elimination is modeled to be 27% to 540% greater for early-acting rather than late-acting lethality. Our success in developing a mosquito strain with the key features that the modeling indicated were desirable demonstrates the feasibility of this approach for improved SIT for disease control.
Dynamics and equilibrium conditions of density-dependent-limited populations under RIDL/SIT control. We compared the effectiveness of SIT (blue line) and a late-acting lethal RIDL strategy (thick red line) in a mathematical model of a continuous breeding Ae. aegypti population limited by density-dependent mortality (for details of the model see Methods). The population is assumed to start at equilibrium carrying capacity, and will therefore remain at the initial level if there is no intervention (black line). All releases are assumed to be of males only; the input release ratio, I, is defined relative to the initial wild male population; this rate of release of males then remains constant through time. In panels A and B, we plotted examples of the variation over time, from the start of control, of the number of females in the population relative to the initial number, for two different release ratios. The RIDL insects are assumed to be homozygous for a construct lethal to males and females ("non-sex-specific") after the density-dependent phase. For conventional SIT, mortality is assumed to be early (at embryogenesis), before any density-dependent mortality operates. With a low release ratio (A), SIT can actually increase the equilibrium size of the adult female population while RIDL can result in eradication. With a sufficiently high release ratio (B), conventional SIT can control the population, but the RIDL strategy is more effective. In panels C, D, E and F, we plot the equilibrium number of female mosquitoes in the population, relative to the initial numbers, following control with a given input ratio. The critical input ratios required to achieve eradication are shown as broken lines for the conventional SIT (blue) and RIDL systems (red). β represents the intensity of the density-dependence; P is the maximum per capita daily egg production rate corrected for density-independent egg to adult survival (see Methods). Parameter values for β and P (indicated in the panels) represent the best-estimate ranges calculated by Dye for a natural Ae. aegypti population [25]. In all cases, T = 27 days and δ = 0.12 per day; parameter values again taken from Dye [25].