https://chipdelmal.github.io/MGDrivE_Presentations/MMC2020/
I. Plot
"Fighting malaria with genetic engineering | Valentino Gantz"
- How does replacement compare to suppression strategies?
- How does standing variation affect the efficacy of mosquito gene-drives?
- What's the risk of a spillover to the mainland?
- What's an "efficient" release strategy?
- How does spatial heterogeneity affect the spread of the drive?
- How does weather affect the spread of the drive?
II. Climax
- Landscape & Biology: panmictic, anopheles coluzzii, linked-drive
- Variables: fitness cost, standing variation
- Metric: Window of Protection (WOP)
(for at least 90% of the stochastic repetitions of the simulation)
III. Resolution
Questions
PIs: John Marshall, David L. Smith
Assistant Project Scientist: Héctor M. Sánchez C. [sanchez.hmsc@berkeley.edu]
Postdocs: Tomás León, Victor Ferman*
PhD Students: Jared Bennett, Sean L. Wu
Undergraduate Students: Priscilla Zhang, Chris De Leon, Gillian Chu*, Maya Shen*, Yunwen Ji*, Biyonka Liang*, Sarafina Smith*
"Vector bionomics and vectorial capacity as emergent properties of mosquito behaviors and ecology."
"A transcomplementing gene drive provides a flexible platform for laboratory investigation and potential field deployment."
"Development of a confinable gene drive system in the human disease vector, Aedes aegypti."
"Reply to 'Concerns about the feasibility of using “precision guided sterile males” to control insects'."
"Transforming insect population control with precision guided sterile males with demonstration in flies."
"MGDrivE: A modular simulation framework for the spread of gene drives through spatially‐explicit mosquito populations."
"Consequences of resistance evolution in a Cas9-based sex-conversion suppression gene drive for insect pest management."
"Overcoming evolved resistance to population-suppressing homing-based gene drives."
