Samuel E. Champer

Modeling control of invasive fire ants by gene drive

This study models gene drive strategies for controlling fire ants, finding that suppression drives can effectively eliminate polygyne colonies but require specialized approaches to target monogyne populations.

Population genetics meets ecology: a guide to individual-based simulations in continuous landscapes

This paper provides a guide to implementing individual-based simulations in continuous landscapes, focusing on population dynamics and ecological applications.

A framework for identifying fertility gene targets for mammalian pest control

This paper presents a framework to identify fertility gene targets for mammalian pest control by evaluating gene function, expression, and knockout results, identifying 16 male and 12 female fertility genes conserved across invasive species.

Finding the strongest gene drive: Simulations reveal unexpected performance differences between Anopheles homing suppression drive candidates

The paper simulates two Anopheles homing gene drives and finds the combined drive with X-shredder is less effective than drives using the nos promoter.

Design and analysis of CRISPR-based underdominance toxin-antidote gene drives

This study simulates CRISPR-based underdominance gene drives using toxin-antidote principles to assess their performance and confinability in population modification and suppression.

Performance analysis of novel toxin-antidote CRISPR gene drive systems

The paper evaluates CRISPR-based toxin-antidote gene drive systems to assess their resistance resistance and regional confinement capabilities for population modification and suppression.

Population dynamics of underdominance gene drive systems in continuous space

This study examines underdominance gene drive systems in continuous space, finding that they may fail to persist and can spread to neighboring populations despite local confinement.

Computational and experimental performance of CRISPR homing gene drive strategies with multiplexed gRNAs

The paper models CRISPR homing gene drives with multiple gRNAs, finding optimal gRNA numbers and showing their limited standalone effectiveness but value when combined with other strategies.