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Warsi, O.

Publications and source records attributed to Warsi, O..

3 recordsLinked to original sources

Evolutionary trajectories of resistant mutants during sub-MIC antibiotic exposure

The emergence of antibiotic resistance is one of the most important examples of contemporary evolution. Selection for resistance can occur over a wide concentration range, both above and below the minimum inhibitory concentration (MIC) of the antibiotic. In a majority of cases, resistance mutations confer fitness costs and several studies have shown the importance of these costs for the emergence, ascendance and maintenance of resistance in a population. Importantly, these costs can often be ameliorated by compensatory mutations and rate and efficiency of compensation is a key parameter in determining the evolutionary success of a costly resistance mutation. Despite this knowledge, we still have a limited understanding of how resistance evolution (to increase resistance) and compensatory evolution (to reduce fitness costs) interact during growth in presence of low, sub-MIC, antibiotic concentrations. To examine the impact of these two processes, we carried out evolution experiments at sub-MIC levels of streptomycin using two E. coli mutants (with loss of function mutations in the selB and ubiH genes, respectively) that show low-level streptomycin resistance, and have different fitness costs. For both mutants, evolution at sub-MIC levels enriched for mutations that increased resistance, but selection for compensatory mutations was also common over the course of the experiment. Our study highlights that costly low-level resistant mutants adapt to sub-MIC antibiotic exposure by either increasing resistance, reducing cost or both and that this evolution can result in the maintenance of these mutants in the population.

evolutionary biology↗

Structure and mechanism of a phage-encoded SAM lyase revises catalytic function of enzyme family

The first SAM degrading enzyme (SAMase) was discovered in bacteriophage T3, as a counter-defense against the bacterial restriction-modification system, and annotated as an S-adenosyl-L-methionine (SAM) hydrolase forming 5-methyl-thioadenosine (MTA) and L-homoserine. From environmental phages, we recently discovered three SAMases with barely detectable sequence similarity to T3 SAMase and without homology to proteins of known structure. Here, we present the very first phage SAMase structures, in complex with a substrate analogue and the product MTA. The structure shows a trimer of alpha-beta sandwiches similar to the GlnB-like superfamily, with active sites formed at the trimer interfaces. Quantum-mechanical calculations, thin-layer chromatography and NMR spectroscopy demonstrate that this family of enzymes are not hydrolases but lyases forming MTA and L-homoserine lactone in a unimolecular reaction mechanism. Sequence analysis, in vitro and in vivo mutagenesis support that T3 SAMase belongs to the same structural family and utilizes the same reaction mechanism.

biochemistry↗

Predicting trajectories and mechanisms of antibiotic resistance evolution

Bacteria evolve resistance to antibiotics by a multitude of mechanisms. A central, yet unsolved question is how resistance evolution affects cell growth at different drug levels. Here we develop a fitness model that predicts growth rates of common resistance mutants from their effects on cell metabolism. We map metabolic effects of resistance mutations in drug-free environments and under drug challenge; the resulting fitness trade-off defines a Pareto surface of resistance evolution. We predict evolutionary trajectories of dosage-dependent growth rates and resistance levels, as well as the prevalent resistance mechanism depending on drug and nutrient levels. These predictions are confirmed by empirical growth curves and genomic data of E. coli populations. Our results show that resistance evolution, by coupling major metabolic pathways, is strongly intertwined with systems biology and ecology of microbial populations.

evolutionary biology↗