Biology subjects

Guet, C. C.

Publications and source records attributed to Guet, C. C..

12 recordsLinked to original sources

bioRxiv2026

Coupling of ATP and PMF in Escherichia coli is determined by growth conditions

The ATP molecule is the universal energy currency across all living organisms. There are two fundamental pathways of ATP synthesis: substrate-level and oxidative phosphorylation. While substrate-level phosphorylation generates ATP directly, in oxidative phosphorylation, proton motive force (PMF) is required to power ATP synthesis via the F1Fo ATP synthase. Using Escherichia coli, we show that due to simultaneous use of both pathways, the strength of coupling between ATP and PMF strongly depends on growth conditions: coupling is weak when requirements for independent generation of ATP and PMF are met, and becomes essential when not. We determine the conditions, under which PMF-ATP coupling becomes essential and show that PMF is required for bacterial growth irrespective of its ATP synthesis function. We propose that the main role of F1Fo in Escherichia coli, contrary to the canonical view, is not to generate ATP but to provide an auxiliary pathway that allows both, ATP and PMF, to be produced.

microbiology↗

bioRxiv2025

CRISPR herd immunity against a transducing phage underlies adaptive homologous recombination in resting bacteria

Homologous recombination (HR) is ubiquitous across evolution, driving adaptation by reshuffling standing genetic variation. Although bacteria lack meiotic recombination, HR extensively shapes their genomes. However, the mechanisms and ecological conditions sustaining frequent HR in bacteria remain unclear. Using Escherichia coli, we reveal how frequent recombination emerges from herd immunity to a generalized transducing phage. Herd immunity-established here via CRISPR immunity-maintains genetic polymorphism and enables stable host-phage coexistence, thereby promoting genome-wide gene flow and accelerating adaptation through recombination up to two orders of magnitude relative to de novo mutations. Notably, we show that recombination occurs in stationary phase and is mediated by RecG, which has been previously reported to be regulated by the stringent response - a bacterial reaction to nutrient deprivation and other stress conditions. Bacterial herd immunity thus fulfills an unexpected role of promoting adaptation by HR. This mechanism helps explain the enigmatic high rates of HR across bacterial populations, clarifies how bacteria adapt as resources wane, and suggests a broader evolutionary role for bacterial immune systems beyond individual defense.

evolutionary biology↗

bioRxiv2024

Pulsatile basal gene expression as a fitness determinant in bacteria

Active regulation of gene expression, orchestrated by complex interactions of activators and repressors at promoters, controls the fate of organisms. In contrast, basal expression at uninduced promoters is considered to be a dynamically inert mode of non-functional "promoter leakiness", merely a byproduct of transcriptional regulation. Here, we investigate the basal expression mode of the mar operon, the main regulator of intrinsic multiple antibiotic resistance in Escherichia coli, and link its dynamic properties to the non-canonical, yet highly conserved start codon of marR across Enterobacteriaceae. Real-time single-cell measurements across tens of generations, reveal that basal expression consists of rare stochastic gene expression pulses, which maximize variability in wildtype and, surprisingly, transiently accelerate cellular elongation rates. Competition experiments show that basal expression confers fitness advantages to wildtype across several transitions between exponential and stationary growth by shortening lag times. The dynamically rich basal expression of the mar operon, has likely been evolutionarily maintained for its role in growth homeostasis of Enterobacteria within the gut environment, thereby allowing other ancillary gene regulatory roles to evolve, e.g. control of costly-to-induce multi-drug efflux pumps. Understanding the complex selection forces governing genetic systems involved in intrinsic multi-drug resistance is crucial for effective public health measures.

systems biology↗

bioRxiv2024

Linking Molecular Mechanisms to their Evolutionary Consequences: a primer

A major obstacle to predictive understanding of evolution stems from the complexity of biological systems, which prevents detailed characterization of key evolutionary properties. Here, we highlight some of the major sources of complexity that arise when relating molecular mechanisms to their evolutionary consequences and ask whether accounting for every mechanistic detail is important to accurately predict evolutionary outcomes. To do this, we developed a mechanistic model of a bacterial promoter regulated by two proteins, allowing us to connect any promoter genotype to six phenotypes that capture the dynamics of gene expression following an environmental switch. Accounting for the mechanisms that govern how this system works enabled us to provide an in-depth picture of how regulated bacterial promoters might evolve. More importantly, we used the model to explore which factors that contribute to the complexity of this system are essential for understanding its evolution, and which can be simplified without information loss. We found that several key evolutionary properties - the distribution of phenotypic and fitness effects of mutations, the evolutionary trajectories during selection for regulation - can be accurately captured without accounting for all, or even most, parameters of the system. Our findings point to the need for a mechanistic approach to studying evolution, as it enables tackling biological complexity and in doing so improves the ability to predict evolutionary outcomes.

evolutionary biology↗

bioRxiv2024

Evolution of intrinsic transcriptional terminators in their genomic context

Transcriptional gene expression relies on two fundamental processes - transcription initiation and termination. Transcriptional termination is essential for the coordinated control of gene expression. Intrinsic termination, the major mechanism of transcriptional termination in bacteria, relies on the sequence-dependent folding of nascent mRNA into a hairpin structure that enables RNA polymerase to dissociate from DNA. Despite their central role in regulating expression in prokaryotic genomes, the conservation of intrinsic terminators and the factors that shape their evolution remain poorly understood. Here, we combine comparative genomics with experimental measurements of terminator function, to study the conservation of intrinsic terminators between Escherichia coli and Salmonella enterica subsp. pullorum. While the two species are closely related, the sequence and function of most terminators are not conserved, with less than 20% of all terminators having an identifiable ortholog - in stark contrast to 60% for coding sequences. Terminators with higher sequence conservation also had more conserved function, indicative of stabilizing selection. The local genomic context shapes the evolution of intrinsic terminators, as their sequence conservation is dependent on the conservation of the upstream gene, while their function is affected by the distance to the downstream gene. Ultimately, any theory of gene regulatory network evolution ought to account for how transcriptional terminators evolve.

evolutionary biology↗

bioRxiv2022

Real-time dynamics of individual chemoreceptor mRNA molecules reveals translation hotspots at the inner membrane of Escherichia coli

Since bacteria lack a nucleus, the location of mRNA molecules is determined by the different characteristics of the encoded proteins, and the transcriptome is spatially arranged into cytosolic and membrane-associated mRNA. While translation of membrane protein-encoding mRNA has been studied in great mechanistic detail using biochemical methods, the spatiotemporal dynamics of this process remains poorly understood at the subcellular level. Here, we investigate the dynamics of individual fluorescently labelled mRNA molecules encoding the transmembrane serine chemoreceptor Tsr, to probe the mechanism of membrane protein translation. Analysis of tsr mRNA diffusion in the proximity of the plasma membrane revealed distinct diffusive modes that reflect the state of the mRNA molecule and its involvement in the process of active translation into the Sec secretion system. We find that the composition, and hence the fluidity of the membrane affects diffusion of membrane targeted mRNAs. Moreover, Tsr translation occurs in localized membrane regions, similar to eukaryotic hotspots. The hotspot localization coincides with the physical location of the transcribed gene, which itself is displaced towards the inner membrane. These findings suggest that inner membrane protein translation is a spatially defined process that occurs in hotspots, indicative of long-lived transertion sites. Our results show an additional layer of spatio-temporal structuring within the bacterial cell, thus revealing a qualitatively different understanding of the basic process of transcription and translation in bacteria. Significance StatementA large fraction of the bacterial proteome is directly synthesized into the inner membrane, and this process shapes the overall distribution of mRNA transcripts within the cell. Although highly dynamic in their nature, bacterial transcriptomes have mostly been studied in fixed cells. Here, we track individual mRNA molecules encoding the serine chemoreceptor in living bacterial cells and find that translation occurs in membrane hotspots that were previously exclusive to eukaryotes. Our results indicate an additional layer of spatio-temporal structuring within the bacterial cell that impacts our understanding of transcription and translation in bacteria.

microbiology↗

bioRxiv2022

Monitoring lineages of growing and dividing bacteria reveals an inducible memory of mar operon expression

In Gram negative bacteria, the multiple antibiotic resistance or mar operon, is known to control the expression of multi-drug efflux genes that protect bacteria from a wide range of drugs. Since different drugs induce this response, identifying the parameters that govern the dynamics of its induction is crucial to better characterize the process of tolerance and resistance. Most experiments have assumed that the properties of the mar transcriptional network can be inferred from population measurements. However, measurements from an asynchronous population of cells can mask underlying phenotypic variations of single cells. We monitored the activity of the mar promoter in single Escherichia coli cells in linear micro-colonies and established that the response to a steady level of inducer was heterogeneous within individual colonies. Specifically, sub-lineages defined by contiguous daughter-cells exhibited similar promoter activity, whereas activity was greatly variable between different sub-lineages. Specific sub-trees of uniform promoter activity persisted over several generations. Statistical analyses of the lineages suggest that the presence of these sub-trees is the signature of an inducible memory of the promoter state that is transmitted from mother to daughter cells. This single-cell study reveals that the degree of epigenetic inheritance changes as a function of inducer concentration, suggesting that phenotypic inheritance may be an inducible phenotype.

systems biology↗

bioRxiv2021

Limited specificity of molecular interactions incurs an environment-dependent fitness cost in bacteria

Reliable operation of cellular programs depends crucially on the specificity of biomolecular interactions. In gene regulatory networks, the appropriate expression of genes is determined through the specific binding of transcription factors (TFs) to their cognate DNA sequences. However, the large genomic background likely contains many DNA sequences showing similarity to TF target motifs, potentially allowing for substantial non-cognate TF binding with low specificity. Whether and how non-cognate TF binding impacts cellular function and fitness remains unclear. We show that increased expression of different transcriptional regulators in Escherichia coli and Salmonella enterica can significantly inhibit population growth across multiple environments. This effect depends upon (i) TF binding to a large number of DNA sequences with low specificity, (ii) TF cooperativity, and (iii) the ratio of TF to DNA. DNA binding due to the limited specificity of promiscuous or non-native TFs can thus severely impact fitness, giving rise to a fundamental biophysical constraint on gene regulatory design and evolution.

molecular biology↗

bioRxiv2021

Type 1 piliated uropathogenic Escherichia coli hijack the host immune response by binding to CD14

A key attribute of persistent or recurring bacterial infections is the ability of the pathogen to evade the hosts immune response. Many Enterobacteriaceae express type 1 pili, a pre-adapted virulence trait, to invade host epithelial cells and establish persistent infections. However, the molecular mechanisms and strategies by which bacteria actively circumvent the immune response of the host remain poorly understood. Here, we identified CD14, the major co-receptor for lipopolysaccharide detection, on dendritic cells as a previously undescribed binding partner of FimH, the protein located at the tip of the type 1 pilus of Escherichia coli. The FimH amino acids involved in CD14 binding are highly conserved across pathogenic and non-pathogenic strains. Binding of pathogenic bacteria to CD14 lead to reduced dendritic cell migration and blunted expression of co-stimulatory molecules, both rate-limiting factors of T cell activation. While defining an active molecular mechanism of immune evasion by pathogens, the interaction between FimH and CD14 represents a potential target to interfere with persistent and recurrent infections, such as urinary tract infections or Crohns disease.

immunology↗

bioRxiv2021

Local genetic context shapes the function of a gene regulatory network

Gene expression levels are influenced by multiple coexisting molecular mechanisms. Some of these interactions, such as those of transcription factors and promoters have been studied extensively. However, predicting phenotypes of gene regulatory networks remains a major challenge. Here, we use a well-defined synthetic gene regulatory network to study how network phenotypes depend on local genetic context, i.e. the genetic neighborhood of a transcription factor and its relative position. We show that one gene regulatory network with fixed topology can display not only quantitatively but also qualitatively different phenotypes, depending solely on the local genetic context of its components. Our results demonstrate that changes in local genetic context can place a single transcriptional unit within two separate regulons without the need for complex regulatory sequences. We propose that relative order of individual transcriptional units, with its potential for combinatorial complexity, plays an important role in shaping phenotypes of gene regulatory networks.

molecular biology↗

bioRxiv2020

Structure and Evolution of Constitutive Bacterial Promoters

Predicting gene expression levels from any DNA sequence is a major challenge in biology. Using libraries with >25,000 random mutants, we developed a biophysical model that accounts for major features of {sigma}70-binding bacterial promoters to accurately predict constitutive gene expression levels of any sequence. We experimentally and theoretically estimated that 10-20% of random sequences lead to expression and 82% of non-expressing sequences are one point mutation away from a functional promoter. Generating expression from random sequences is pervasive, such that selection acts against {sigma}70-RNA polymerase binding sites even within inter-genic, promoter-containing regions. The pervasiveness of {sigma}70- binding sites, which arises from the structural features of promoters captured by our biophysical model, implies that their emergence is unlikely the limiting step in gene regulatory evolution.

evolutionary biology↗

bioRxiv2020

Population dynamics of decision making in temperate bacteriophages

Due to their ability to choose between lysis and lysogeny, temperate bacteriophages represent a classic model system to study the molecular basis of decision making. The coinfection of individual bacteria by multiple, genetically identical phages is known to alter the infection outcome and favor lysogeny over lytic development. However, it is not clear what role the ability of individual phages to sense and respond to coinfections plays in the phage-host infection dynamics at the population level. To address this question, we developed a full-stochastic model to capture the interaction dynamics between billions of bacteria and phages with single-cell and -phage resolution. While, at the level of individual bacteria, the probability of coinfections depends mainly on the phage concentration at the time of infection, the average number of coinfections at the population level is primarily determined by the relative growth rate of phage. Because the maximum attainable phage growth rate is constrained by basic life history parameters, the average number of coinfections has an upper bound of around two. However, for a broad range of conditions, the average number of coinfections stays well below this value. Consequently, we find that coinfections provide only very limited information to individual phages about the state of the infection at the population level. Nevertheless, this information can still provide a strong competitive advantage for phages that base fate decisions on the number of coinfections.

evolutionary biology↗