Biology subjects

Guet, C.

Publications and source records attributed to Guet, C..

3 recordsLinked to original sources

bioRxiv2023

Bacterial toxin-antitoxin system MazEF as a native defense mechanism against RNA phages in Escherichia coli

Bacteria have evolved a wide range of defense strategies to protect themselves against bacterial viruses (phages). However, the known mechanisms almost exclusively target phages with DNA genomes. While several bacterial toxin-antitoxin systems have been considered to cleave single-stranded bacterial RNA in response to stressful conditions, their role in protecting bacteria against phages with single-stranded RNA genomes has not been studied. Here we investigate the role of a representative toxin-antitoxin system, MazEF, in protecting Escherichia coli against two RNA phages - MS2 and Q{beta}. Our population-level experiments revealed that a mazEF deletion strain is more susceptible to RNA phage infection than the wild-type. At the single-cell level, deletion of the mazEF locus significantly shortened the time to lysis of individual bacteria challenged with RNA phage. At the genomic level, we found that the adenine-cytosine-adenine sequence, directly recognized and cleaved by the MazF toxin, is systematically underrepresented in the genomes of RNA phages that are known to infect E. coli, indicating selection for decreased probability of cleavage. These results suggest that in addition to other physiological roles, RNA-degrading toxin-antitoxin modules can function as a primitive immune system against RNA phages.

microbiology↗

bioRxiv2022

The adaptation dynamics between copy-number and point mutations

Copy-number and point mutations form the basis for most evolutionary novelty through the process of gene duplication and divergence. While a plethora of genomic sequence data reveals the long-term fate of diverging coding sequences and their cis-regulatory elements, little is known about the early dynamics around the duplication event itself. In microorganisms, selection for increased gene expression often drives the expansion of gene copy-number mutations, which serves as a crude adaptation, prior to divergence through refining point mutations. Using a simple synthetic genetic system that allows us to distinguish copy-number and point mutations, we study their early and transient adaptive dynamics in real-time in Escherichia coli. We find two qualitatively different routes of adaptation depending on the level of functional improvement selected for: In conditions of high gene expression demand, the two types of mutations occur as a combination. Under low gene expression demand, negative epistasis between the two types of mutations renders them mutually exclusive. Thus, owing to their higher frequency, adaptation is dominated by copy-number mutations. Ultimately, due to high rates of reversal and pleiotropic cost, copy-number mutations may not only serve as a crude and transient adaptation, but also constrain sequence divergence over evolutionary time scales.

evolutionary biology↗

bioRxiv2018

Molecular noise shapes bacteria-phage ecologies

Mathematical models have been used successfully at diverse scales of biological organization, ranging from ecology and population dynamics to stochastic reaction events occurring between individual molecules in single cells. Generally, many biological processes unfold across multiple scales, with mutations being the best studied example of how stochasticity at the molecular scale can influence outcomes at the population scale. In many other contexts, however, an analogous link between micro- and macro-scale remains elusive, primarily due to the challenges involved in setting up and analyzing multi-scale models. Here, we employ such a model to investigate how stochasticity propagates from individual biochemical reaction events in the bacterial innate immune system to the ecology of bacteria and bacterial viruses. We show analytically how the dynamics of bacterial populations are shaped by the activities of immunity-conferring enzymes in single cells and how the ecological consequences imply optimal bacterial defense strategies against viruses. Our results suggest that bacterial populations in the presence of viruses can either optimize their initial growth rate or their steady state population size, with the first strategy favoring simple and the second strategy favoring complex bacterial innate immunity.

biophysics↗