MGDrivE

A simulation framework for gene drive spread in spatially explicit mosquito populations, its application to releases optimization, and confinement in an Australian setting.



NCCB 2018

Héctor M. Sánchez C., Jared Bennett, Sean L. Wu, John M. Marshall

Contact: sanchez.hmsc@berkeley.edu     Website: https://marshalllab.github.io/MGDrivE/



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A. Mosquito-Borne Diseases and Gene-Drive Approaches

B. Threshold-Dependent Drives


C. Experimental Setup

Q: How feasible is the fixation/remediation of gene-drives in realistic settings?
  • Location:
        Yorkey's Knob, Australia
  • Releases location selection scheme:
        Randomly uniform
  • Gene Drives:
        Reciprocal Translocations
        Threshold Dependent Underdominance
  • Releases number:
        0 to 20
  • Releases coverage:
        0% to 100%
  • Outcome:
        Fixation/Dilution

D. Factorial Experiments (Fixation)

Reciprocal Chromosomal Translocations

Toxin-Antidote-Based Underdominance Systems

D. Factorial Experiments (Remediation)

Reciprocal Chromosomal Translocations

Toxin-Antidote-Based Underdominance Systems

E. Results

The Team

Developed in: John Marshall's Lab by:

Lead: Héctor M. Sánchez C.
Core Dev: Sean L. Wu, Jared Bennett
Environmental Factors: Tomás León
Releases Optimization: Valeri Vasquez
Spatial Analysis: Biyonka Liang, Sarafina Smith, Gillian Chu, Sabrina Wong
Movement Kernels: Partow Imani
Auxiliary Dev: Chase Violet


Contact: sanchez.hmsc@berkeley.edu