Each project objective has a number of specific aims that describe the research program in more detail.  Each specific aim has a series of “decision points”, which are six-month milestones used to gauge and measure our progress.  The objectives are interrelated and overlap, and some specific aims in one objective require the successful completion of others.

OBJECTIVE 1: Optimize effector genes for population replacement and reduction.

This project objective provides for the development of molecular genetic-based effector genes that prevent Aedes aegypti from transmitting dengue viruses.  These “smart” effectors specifically target either dengue viruses or the mosquito, and are designed to avoid having any impact on the environment and non-target organisms. 

OBJECTIVE 2: Develop safe and efficient drive systems for introgressing effector genes into mosquito populations.

This project objective develops and tests safe and effective drive systems to spread genes through Aedes aegypti populations.  The systems are designed to integrate features that ensure safety and efficacy.  Efforts include modeling to predict application efficacy and cost-effectiveness.

OBJECTIVE 3: Establish large outdoor cages for field test trails.

Research at a field site with secure outdoor cages is essential for the vigorous analysis of genetics-based methods.  Importantly, field site testing and analysis will be performed, in part, by local collaborators.  In addition, a team of local and international project scientists and ethicists will address the ethical, social and cultural issues that accompany genetics-based control methods.  Primary goals of the field studies are to assess how well genetics-based methods function under natural environment conditions.  Therefore, the candidate sites being considered are located in areas where Aedes aegypti are present and known to transmit dengue viruses.  Data attained during the field site testing will also be used to measure the predictive value of our models and aid in the refinement of those models.