Isaac Gifford

The paper introduces a dual chassis framework (DUET) to combine rational metabolic design with adaptive evolution, enabling robust microbial platform development.

This study identifies mutations acquired during the domestication of Acinetobacter baylyi ADP1, showing their impact on competence and metabolism in modern strains.

The paper describes engineered Acinetobacter baylyi biosensors that detect specific DNA sequences with high sensitivity.

This study identifies biofilm-forming adhesins in Snodgrassella alvi that are essential for its mutualistic colonization of the bee gut.

This study shows that laboratory evolution can recover fitness lost in Acinetobacter baylyi strains with large deletions through mutations in deletion-specific targets and global post-transcriptional regulators.

The paper estimates the rate of gene conversions between rRNA operons in Escherichia coli by sequencing evolved lineages and finds a low, consistent rate across different genomic regions.