Austin Burt

The paper applies close-kin mark-recapture to estimate adult mosquito census size and clutch failure probability in Anopheles gambiae, finding high clutch failure and extreme reproductive variance.

This paper introduces a new unbiased linkage disequilibrium estimator called Random Probe, which outperforms existing methods in reducing bias, especially in challenging scenarios.

The paper introduces a method to correct confidence intervals for pseudo-replication in linkage disequilibrium data to improve Ne estimation in Anopheles gambiae.

This study investigates the role of the femaleless gene in Anopheles gambiae gametogenesis and its impact on CRISPR-Cas9 gene drive efficacy, showing that disrupting fle causes female sterility and limits gene drive spread.

This study evaluates population genomic statistics to detect population size changes in malaria mosquito trials, finding Tajimas D is highly sensitive and robust across scenarios.

This study examines genetic structure and demographic history of Anopheles gambiae and Anopheles arabiensis in Uganda, showing genetic differentiation between species and subtle structure between island and mainland populations, with implications for malaria vector control.

This paper develops self-limiting genetic strategies using genomic editors to suppress pest populations more efficiently than traditional methods.

The paper develops methods to identify single origin rare variants in population genomic data and estimates the frequency of recurrent mutations in Anopheles gambiae.

This paper proposes a self-limiting gene drive strategy called MDFS to suppress malaria mosquito populations by causing female sterility while allowing fertile males to spread the trait.

The paper quantifies random effects on mosquito density and species composition, finding greater between-village variation than between-house or year.

This paper uses generative deep learning to infer the evolutionary history of malaria vectors in West Africa, finding that a migration model better explains population dynamics than a model without post-split migration.

This study shows that an intermediate strength of synthetic gene drive is evolutionarily stable, outcompeting stronger and weaker variants, and discusses implications for gene drive design.

The paper introduces a Y chromosome-linked genome editor (YLE) for population suppression in Anopheles gambiae, showing it is up to 8 times more efficient than other self-limiting strategies.

The paper presents a pipeline to discover and engineer gene drives that overcome resistance in malaria mosquitoes, showing that new resistant alleles can emerge and designing drives that target multiple sites to suppress populations.

The paper uses whole-genome sequencing of malaria vectors to track the emergence and spread of new insecticide resistance variants over time in Burkina Faso.

The paper designs a neutral genetic construct that balances gene drive and selection to achieve localized population suppression, showing it can be 100-1000 times more efficient than sterile males.

This study models the impact of gene drive releases on malaria transmission in West Africa, showing significant reductions in vector abundance and malaria prevalence when targeting multiple vector species.

This paper models a gene drive design using Y-linked editors and sex ratio distorters to suppress pest populations efficiently and locally, showing it can work with low release rates and is sensitive to allele frequency changes.

The paper evaluates resistance to a CRISPR-based gene drive by simulating high selection pressure in Anopheles gambiae and identifies a resistant mutation at an ultra-conserved site.

The paper proposes and models double drive gene drive designs to enable localized population genetic control by exploiting sequence differences between target and non-target populations.

The paper identifies ultra-conserved sequences in Anopheles mosquito genomes and suggests their potential use as targets for gene drive-based malaria control.

The paper analyzes genome variation in 1,142 Anopheles mosquitoes to study population structure and insecticide resistance.

This study improves gene drive efficacy by reducing resistance and fitness costs through regulatory sequence modifications, leading to better population suppression and delayed resistance.

The paper demonstrates that Y-linked genome editors can be more efficient than other self-limiting strategies for pest control in male heterogametic species, with reduced impact on non-target populations.

The paper sequences genomes of 765 malaria vector mosquitoes to study genetic diversity and insecticide resistance.