Biology subjects

Sorensen, M. A.

Publications and source records attributed to Sorensen, M. A..

4 recordsLinked to original sources

bioRxiv2022

Structural basis for regulation of a tripartite toxin-antitoxin system by dual phosphorylation

Many bacteria encode multiple toxin-antitoxin (TA) systems targeting separate, but closely related, cellular functions. The toxin of the E. coli hipBA system, HipA, is a kinase that inhibits translation via phosphorylation of glutamyl-tRNA synthetase. Enteropathogenic E. coli (EPEC) O127:H6 encodes the hipBA-like, tripartite TA system; hipBST, in which the HipT toxin specifically targets the tryptophanyl-tRNA synthetase, TrpS. Notably, in the tripartite system, the function as antitoxin has been taken over by the third protein, HipS, but the molecular details of how activity of HipT is inhibited remain poorly understood. Here, we show that HipBST is structurally different from E. coli HipBA and that the unique HipS protein, which is homologous to the N-terminal subdomain of HipA, inhibits the kinase through insertion of a conserved Trp residue into the active site. We also show how auto-phosphorylation at two conserved sites in the kinase toxin serve different roles and affect the ability of HipS to neutralize HipT. Finally, solution structural studies show how phosphorylation affects overall TA complex flexibility.

microbiology↗

bioRxiv2020

Spontaneous Escherichia coli persisters with week-long survival dynamics and lasting memory of a short starvation pulse

The vast majority of a bacterial population is quickly killed when treated with a lethal concentration of antibiotics. The time scale of this killing is often comparable with the bacterial generation time before addition of antibiotics. Yet, a small subpopulation typically survives for an extended period. However, the long-term killing dynamics of bacterial cells has not been fully quantified even in well-controlled laboratory conditions. We constructed a week-long killing assay and followed the survival fraction of Escherichia coli K12 exposed to a high concentration of ciprofloxacin. We found that long-term survivors were formed during exponential growth, with some cells surviving at least 7 days. The long-term dynamics contained at least three timescales, which greatly enhances predictions of the population survival time compared to the biphasic extrapolation from the short term behavior. Furthermore, we observed a surprisingly long memory effect of a brief carbon starvation pulse, which was dependent on the (p)ppGpp synthase relA. Specifically, one hour of carbon starvation prior to antibiotics exposure increased the surviving fraction by nearly 100-fold even after 4 days of ciprofloxacin treatment.

microbiology↗

bioRxiv2020

Distinct survival, growth lag, and ribosomal RNA degradation kinetics during long-term starvation for carbon or phosphate

Stationary phase is the general term for the state a bacterial culture reaches when no further increase in cell number occurs due to the exhaustion of nutrients in the growth medium. Depending on the type of nutrient that is first depleted, the metabolic state of the stationary phase cells may vary greatly, and the subsistence strategies that best support cell survival may differ. As ribosomes play a central role in bacterial growth and energy expenditure, ribosome preservation is a key element of such strategies. To investigate the degree of ribosome preservation during long-term starvation, we compared the dynamics of ribosomal RNA (rRNA) levels of carbon-starved and phosphorus-starved Escherichia coli cultures for up to 28 days. The starved cultures contents of full-length 16S and 23S rRNA decreased exponentially and phosphorus starvation resulted in much more rapid rRNA degradation than carbon starvation. Bacterial survival kinetics were also quantified over the starvation period. Upon replenishment of the nutrient in question, carbon-starved cells resumed growth faster than cells starved for phosphate for the equivalent amount of time, and for both conditions, the lag time increased with the starvation time. While these results are in accordance with the hypothesis that cells with a larger ribosome pool recover more readily upon replenishment of nutrients, we also observed that the lag time kept increasing with increasing starvation time, also when the amount of rRNA per viable cell remained constant. ImportanceBacteria grow exponentially consuming nutrients, and then starve until the next nutrient is added. To elucidate the survival kinetics of the cells under starvation, we performed month-long, carbon and phosphorus starvation experiments of Escherichia coli monitoring ribosomal RNA levels and survival of the cells. The starved cultures concentration of ribosomal RNA dropped exponentially with time, and the speed of degradation was much quicker under the phosphorus starvation than the carbon starvation. We have also quantified the lag time, i.e., the time needed to resume growth when the starved cells are transferred into fresh media. The observation revealed that the lag time increases with starvation time and the phosphorus starvation has a greater impact on the increase of the lag time.

microbiology↗

bioRxiv2017

Nasty Prophages and the Dynamics of Antibiotic-Tolerant Persister Cells

Bacterial persisters are phenotypic variants that survive antibiotic treatment in a dormant state and can be formed by multiple pathways. We recently proposed that the second messenger (p)ppGpp drives Escherichia coli persister formation through protease Lon and the activation of toxin-antitoxin (TA) modules. This model found support in the field, but also generated controversy as part of recent heated debates on the validity of significant parts of the literature. In this study, we therefore used our previous work as a model to critically examine common experimental procedures in order to understand and overcome the inconsistencies often observed between results of different laboratories. Our results show that seemingly simple antibiotic killing assays are very sensitive to variation of culture conditions and bacterial growth phase. Additionally, we found that some assay conditions cause the killing of antibiotic-tolerant persisters via induction of cryptic prophages. Similarly, the inadvertent infection of mutant strains with bacteriophage {varphi}80, a notorious laboratory contaminant, has apparently caused several phenotypes that we reported in our previous studies. We therefore reconstructed all infected mutants and probed the validity of our model of persister formation in a refined assay setup that uses robust culture conditions and unravels the dynamics of persister cells through all bacterial growth stages. Our results confirm the importance of (p)ppGpp and Lon, but do not anymore support a role of TA modules in E. coli persister formation. We anticipate that the results and approaches reported in our study will lay the ground for future work in the field.\n\nImportanceThe recalcitrance of antibiotic-tolerant persister cells is thought to cause relapsing infections and antibiotic treatment failure in various clinical setups. Previous studies have identified multiple genetic pathways involved in persister formation, but also revealed reproducibility problems that sparked controversies about adequate tools to study persister cells. In this study we unraveled how typical antibiotic killing assays often fail to capture the biology of persisters and instead give widely different results based on ill-controlled experimental parameters and artifacts caused by cryptic as well as contaminant prophages. We therefore established a new, robust assay that enabled us to follow the dynamics of persister cells through all growth stages of bacterial cultures without distortions by bacteriophages. This system also favored adequate comparisons of mutant strains with aberrant growth phenotypes. We anticipate that our results will contribute to a robust, common basis of future studies on the formation and eradication of antibiotic-tolerant persisters.

microbiology↗