Mato Lagator

This study shows that strong prokaryotic promoters are more mutationally robust, with robustness influenced by box spacing and sequence flexibility.

This paper develops a population sequencing pipeline to estimate mutation rates in E. coli under varying population densities, finding a strong negative association between density and mutation rates.

This study examines how the antimutator ΔnudJ in Escherichia coli reduces mutation rate and alters mutational spectrum, leading to decreased antibiotic resistance potential.

This paper introduces QMS-Seq, a high-throughput method to identify antibiotic resistance mutations in E. coli, revealing distinct mutation patterns for multi-drug and antibiotic-specific resistance.

The paper develops a mechanistic model of bacterial promoters to explore how molecular complexity affects evolutionary predictions, finding that simplifying mechanisms does not compromise accuracy.

The paper studies the conservation and evolution of intrinsic transcriptional terminators between Escherichia coli and Salmonella enterica subsp. pullorum, finding low sequence and functional conservation despite their close relation.