Shining light on T6SS mode of action and function within single cells and bacterial communities

Bacteria are ubiquitously found in the environment and form the basis for all known ecosystems on our planet. Most bacterial cells reside in complex multi-species bacterial communities, which are often associated with a host, such as the human microbiota. These bacterial communities are shaped by cooperative and competitive interactions amongst their members. Like higher animals, bacteria also compete with their conspecifics for nutrients and space. This evolutionary arms race resulted in a diverse set of strategies for microbial competition. In particular, bacteria residing on solid surfaces can compete with their neighbors through the use of specialized nanomachines, called secretion systems, enabling the direct delivery of toxic effector molecules into by-standing target cells. The most commonly used weapon for contact-dependent antagonism is the bacterial Type VI secretion system (T6SS). The T6SS belongs to the family of contractile injection systems (CISs). All CISs are structurally and functionally related to contractile bacteriophages (e.g. phage T4) and translocate proteins into target cells by means of physical force, which is generated by rapid sheath contraction. This results in the ejection of the inner tube associated with a sharp tip and effector proteins at its end. Effector translocation leads ultimately to target cell death. Importantly, the T6SS is capable translocating effectors across broad ranges of biological membranes making it a powerful weapon in microbial warfare as well as potent virulence mechanism towards eukaryotic host cells. Our current understanding of T6SS mode of action is primarily based on the combination of structural biology and fluorescence live-cell microscopy studies. While in particular cryo-electron microscopy (cryo-EM) revealed the detailed architecture of the T6SS in situ and of isolated subassemblies, fluorescence live-cell microscopy uncovered the remarkable dynamics of T6SS biogenesis. However, a complete understanding of T6SS dynamics is hampered in standard fluorescent microscopy due to: (i) the spatial and temporal resolution limit, (ii) the inability to efficiently label secreted components of the machinery, (iii) the weak signals due to low protein abundance and rapid photobleaching, (iv) the difficulty to perform long-term co-incubation experiments as well as (v) the inability to precisely control spatial and chemical environment. My doctoral thesis aimed to overcome these limitations to allow novel insights into dynamics of the T6SSs of Vibrio cholerae, Pseudomonas aeruginosa and Acinetobacter baylyi. Specifically sheath assembly, initiation of sheath contraction, T6SS mediated protein translocation in to sister cells as well as strategies for prey cell inhibition were studied in this thesis. First, I studied sheath assembly in ampicillin induced V. cholerae spheroplasts. These enlarged cells assemble T6SS sheaths which are up to 10x longer as compared to rod shaped cells. This allowed us to photobleach an assembling sheath structure and demonstrate that new sheath subunits are added to the growing sheath polymer at the distal end opposite the baseplate. Importantly, this was the first direct observation made for any contractile machines studied to date. Moreover, I showed that unlike for all other CISs, T6SS sheath length is not regulated and correlates with cell size. In order to monitor protein translocation into target cells, we developed a T6SS dependent interbacterial protein complementation assay, enabling the indirect detection of translocated T6SS components into the cytosol of recipient cells. This allowed us to demonstrate that secreted T6SS components are exchanged among by-standing sister cells within minutes upon initial cell contact. Importantly, these results were the first experimental indication that T6SS is capable of translocating its components into the cytosol of Gram-negative target cells. Furthermore, we showed that the amount and the composition of the secreted tip influences the number of T6SS assemblies per cell, whereas different concentration of the tube protein influenced sheath length. We also provided evidence that precise aiming of T6SS assemblies through posttranslational regulation in P. aeruginosa increases the efficiency of substrate delivery. In addition, together with two Nanoscience master students we have also been implementing microfluidics in the Basler laboratory. This powerful technology enabled us to control the spatial arrangements of aggressor and prey populations and to follow these populations at single-cell level over time scales of several hours. In collaboration with Prof. Kevin Forster, University of Oxford, we demonstrated that the rate of target cell lysis heavily influences the outcome of contact-dependent T6SS killing and thus drives evolution of lytic effectors. Moreover, microfluidics allows for the dynamic change of the chemical microenvironment during imaging experiments. By following the T6SS dynamics in response to hyperosmotic shocks resulting in a rapid cell volume reduction, we found that physical pressure from the collapsing cell envelope could trigger sheath contraction. This led us to propose a model for sheath contraction under steady-state conditions where continued sheath polymerization against membrane contact site leads to a gradual increase in pressure applied to the assembled sheath. We propose that this could be potentially sensed by the baseplate, which in turn would trigger sheath contraction

Tracking bacteria at high density with FAST, the Feature-Assisted Segmenter/Tracker

Most bacteria live attached to surfaces in densely-packed communities. While new experimental and imaging techniques are beginning to provide a window on the complex processes that play out in these communities, resolving the behaviour of individual cells through time and space remains a major challenge. Although a number of different software solutions have been developed to track microorganisms, these typically require users either to tune a large number of parameters or to groundtruth a large volume of imaging data to train a deep learning model—both manual processes which can be very time consuming for novel experiments. To overcome these limitations, we have developed FAST, the Feature-Assisted Segmenter/Tracker, which uses unsupervised machine learning to optimise tracking while maintaining ease of use. Our approach, rooted in information theory, largely eliminates the need for users to iteratively adjust parameters manually and make qualitative assessments of the resulting cell trajectories. Instead, FAST measures multiple distinguishing ‘features’ for each cell and then autonomously quantifies the amount of unique information each feature provides. We then use these measurements to determine how data from different features should be combined to minimize tracking errors. Comparing our algorithm with a naïve approach that uses cell position alone revealed that FAST produced 4 to 10 fold fewer tracking errors. The modular design of FAST combines our novel tracking method with tools for segmentation, extensive data visualisation, lineage assignment, and manual track correction. It is also highly extensible, allowing users to extract custom information from images and seamlessly integrate it into downstream analyses. FAST therefore enables high-throughput, data-rich analyses with minimal user input. It has been released for use either in Matlab or as a compiled stand-alone application, and is available at https://bit.ly/3vovDHn, along with extensive tutorials and detailed documentation

Quorum sensing dynamics in the alpha-proteobacterium Sinorhizobium meliloti at the single-cell and population level

In quorum sensing, bacteria produce and release so-called autoinducers that accumulate in the environment while the cells grow. Once these molecules reach a threshold concentration, they trigger major behavioral changes in the population. Since the triggered behaviors are thought to be effective only when performed by a large enough group, autoinducers are generally taken to indicate when this sufficient cell density has been reached. However, little is known about how these components interact dynamically at the single-cell level to fulfill their task of cell-cell communication. Furthermore, quorum sensing is often studied in well-shaken liquid cultures, but little is known about autoinducer dispersal and response dynamics over larger distances in physiological niches like the rhizosphere where active mixing is negligible. The aim of this work therefore was to investigate these aspects in the model organism Sinorhizobium meliloti. In (Bettenworth et al., 2022.), quorum sensing dynamics were investigated with respect to autoinducer synthase gene expression in single cells and the timing of the response in the respective colonies. Surprisingly, in S. meliloti the autoinducer synthase gene is not expressed continuously, but in discrete stochastic pulses. Stochasticity stems from scarcity and, presumably, low binding affinity of the essential transcription activator. Physiological factors modulate abundance of this activator or its binding affinity to the autoinducer synthase gene promoter and thereby modulate gene expression pulse frequency. Higher or lower pulse frequencies in turn trigger the onset of the quorum sensing response at lower or higher cell numbers, respectively. In other words: S. meliloti quorum sensing is based on a stochastic regulatory system that encodes each cell’s physiological condition in the pulse frequency with which it expresses its autoinducer synthase gene; pulse frequencies of all members of a population are then integrated in the common pool of autoinducers. Only once this vote crosses the threshold, the response behavior is initiated. Consequently, S. meliloti quorum sensing is not so much a matter of counting cell numbers as suggested by the analogy of the quorum, but more comparable to a voting in a local community, or the collective decision-making described for social insects (Bettenworth et al., 2022). In (Bettenworth et al., 2018), the dynamics of autoinducer dispersal by diffusion in a two-dimensional environment were explored. At first sight, diffusive spreading should yield a dilution of the molecules and, with increasing distance from the source, slow down progression of the concentration level necessary to trigger a response in distantly located receiver cells. In contrast to this expectation, however, this threshold concentration did not decelerate in respective experiments, but instead travelled with constant speed, comparable to front propagation in pattern-forming systems. According to a mathematical model, this effect was due to the exponential growth of the sender cells which yielded adding-up of an exponentially growing number of autoinducer concentration profiles, thus compensating for the thinning effect of diffusion. Consequently, even a single sender colony could induce a response in receiver cells up to 7 mm away (Bettenworth et al., 2018)

Bacterial cell cycle dynamics: size regulation during exponential growth and role of polyphosphate during starvation response

Bacteria are the most diverse and abundant kingdom of life and have adapted to survive and thrive in habitats around the globe. When provided with ample nutrients they grow and divide at staggering rates, increasing their population exponentially. Upon nutrient depletion on the other hand, they quickly adapt by drastically altering their metabolism, halting growth to survive for a very long time. Since bacteria are tiny -about a few micrometers-, visualizing these processes requires microscopy. To measure the dynamics of their shape and inner structures precisely, one needs to choose a technique that balances spatial resolution, temporal resolution and photo-toxicity. In this thesis, I present two projects using advanced dynamic microscopy, first to study cell size regulation during exponential growth in the abundance of nutrients and then to elucidate the role and positioning of polyphosphate granules during cell cycle exit in response to nutrient starvation. During exponential growth, bacteria balance growth and division to regulate their size, resulting in a narrow size distribution, referred to as cell size homeostasis. Recent work tried to uncover what cells sense to decide to divide in order to achieve size homeostasis: time, size, growth or a combination of those. Control of cell division is often equated to control of constriction onset; however, the constriction period still accounts for up to 40% of cell growth and could thus contribute significantly to cell size regulation. We used SIM microscopy to measure constriction kinetics and their impact on cell size regulation in Caulobacter crescentus. We found that constriction rate regulation can determine cell size. Moreover, constriction rate modulation compensates for variability in elongation before constriction, allowing a higher fidelity cell size homeostasis. We suggest a parsimonious model where excess cell wall precursors accumulate proportionally to elongation before constriction and set the rate of constriction. This is the first direct demonstration that constriction rate can contribute to cell size control and homeostasis in bacteria. Upon nutrient starvation, bacteria exit their cell cycle to preserve energy and nutrients. In many bacteria, such as Pseudomonas aeruginosa, this is associated with the accumulation of polyphosphate (polyP) in intracellular granules. PolyP is created by polyphosphate kinases (ppkâs), which are required for successful cell cycle exit and survival of and recovery from long-term starvation. Interestingly, these polyP granules are regularly spaced within the nucleoid. To date, it is not known during which stage polyP is required for cell cycle exit, and what causes the spacing of the granules. Here, we use fluorescence microscopy to probe the cell cycle stage of Îppk cells arrested during nutrient starvation as well as the localization and dynamics of ppkâs. We show that a majority of Îppk cells are arrested with open replication forks. Furthermore, we find that ppkâs localize in distinct patterns, already prior to starvation and polyP granule production, which could be responsible for the positioning of polyP granules. To this end, we developed a background subtraction algorithm to remove cytoplasmic fluorescence, improving accuracy of spot detection and localization

Live cell dynamics of production, explosive release and killing activity of phage tail-like weapons for Pseudomonas kin exclusion.

Interference competition among bacteria requires a highly specialized, narrow-spectrum weaponry when targeting closely-related competitors while sparing individuals from the same clonal population. Here we investigated mechanisms by which environmentally important Pseudomonas bacteria with plant-beneficial activity perform kin interference competition. We show that killing between phylogenetically closely-related strains involves contractile phage tail-like devices called R-tailocins that puncture target cell membranes. Using live-cell imaging, we evidence that R-tailocins are produced at the cell center, transported to the cell poles and ejected by explosive cell lysis. This enables their dispersal over several tens of micrometers to reach targeted cells. We visualize R-tailocin-mediated competition dynamics between closely-related Pseudomonas strains at the single-cell level, both in non-induced condition and upon artificial induction. We document the fatal impact of cellular self-sacrifice coupled to deployment of phage tail-like weaponry in the microenvironment of kin bacterial competitors, emphasizing the necessity for microscale assessment of microbial competitions

c-di-GMP modulates type IV MSHA pilus retraction and surface attachment in Vibrio cholerae.

Biofilm formation by Vibrio cholerae facilitates environmental persistence, and hyperinfectivity within the host. Biofilm formation is regulated by 3',5'-cyclic diguanylate (c-di-GMP) and requires production of the type IV mannose-sensitive hemagglutinin (MSHA) pilus. Here, we show that the MSHA pilus is a dynamic extendable and retractable system, and its activity is directly controlled by c-di-GMP. The interaction between c-di-GMP and the ATPase MshE promotes pilus extension, whereas low levels of c-di-GMP correlate with enhanced retraction. Loss of retraction facilitated by the ATPase PilT increases near-surface roaming motility, and impairs initial surface attachment. However, prolonged retraction upon surface attachment results in reduced MSHA-mediated surface anchoring and increased levels of detachment. Our results indicate that c-di-GMP directly controls MshE activity, thus regulating MSHA pilus extension and retraction dynamics, and modulating V. cholerae surface attachment and colonization

Spatio-temporal analysis of architecture and growth in bacterial colonies

Most microorganisms prefer to live in surface associated communities called biofilms, where their lifestyle differs considerably compared to their planktonic counterpart. The cell shape, as well as physical interactions determine the structure of bacterial biofilms. Due to cell growth, the size of the biofilm increases with time and the structure changes during biofilm maturation. This work aims at characterizing the structure and growth dynamics of dense colonies formed by gonococci. The first part of this thesis focuses on the characterization of the spatial structure of gonococcal colonies. Image analysis tools were developed that allowed determin- ing the positions of single cells within the spherical colonies. Using the position data, the radial distribution function (RDF) was calculated. The RDF showed short-ranged order but not long range order, reminiscent of liquids. Neisseria gonorrhoeae interact via their type 4 pilus (T4P) with surfaces and cells. T4P- T4P binding between adjacent cells generates attractive force that controls colony formation. We investigated the effect of T4P retraction of the local and meso- scopic structure of gonococcal colonies using strains with varying T4P retraction phenotypes. Reducing speed and frequency of T4P retraction reduced cell density and increased order in 6 h old colonies. Deleting T4P retraction results in loss of local order. After 24 h, density and local order increase for all strains, and larger holes inside the structures of gonococcal colonies emerged, which were independent of T4P motor activity. In conclusion, we show that gonococcal T4P active force generation is not necessary for development of local order, but it accelerates the process of achieving higher densities and local ordering inside spherical colonies. 1 1 Abstract In the second part of this thesis, we developed methods for measuring growth rates of colony-bound bacteria with spatial and temporal resolution. Growing gonococci generated a radial velocity field inside colonies that pointed from the centre of mass (COM) of colonies to its periphery. Close to the colony centres, velocities were minimal and increased towards the periphery of colonies. We showed that by characterizing the velocity field within the colony, the local growth rates can be measured. Independently, growth rates were determined by counting the offspring of single fluorescent cells that were distributed homogeneously inside the colonies. Both methods complement each other, because they have different advantages and disadvantages. Unexpectedly, heterogeneous growth profiles inside small gonococcal colonies emerged after 2 h of growth. To assess the hypothesis that nutrient limitation causes growth heterogeneity, we optimized the nutrient supply with a higher flow rate. Even though gonococcal growth improved slightly, growth profiles were still heterogeneous, indicating different limitations like mechanical constraints. Surprisingly, colonies that could not activate the stringent response developed heterogeneity in spatial and temporal growth even earlier. We suggest that stringent response is important for gonococcal biofilm maturation. Finally, the effect of azithromycin treatment on colony growth dynamics was investigated. We observed that after two generations times, growth rates dropped to low values throughout the colony indicating that azithromycin diffuses quickly through the whole colony and effects the majority of cells. In summary, we established tools for characterizing growth and death within dense spherical colonies at spatial and temporal resolution. This method will be useful to study the mechanisms of development of heterogeneity inside gonococcal colonies and their response to environmental changes like antimicrobial treatment

A dynamic fluid landscape mediates the spread of bacteria

Microbial interactions regulate their spread and survival in competitive environments. It is not clear if the physical parameters of the environment regulate the outcome of these interactions. In this work, we show that the opportunistic pathogen Pseudomonas aeruginosa occupies a larger area on the substratum in the presence of yeast such as Cryptococcus neoformans , than without it. At the microscopic level, bacterial cells show an enhanced activity in the vicinity of yeast cells. We observe this behaviour even when the live yeast cells are replaced with heat-killed cells or with spherical glass beads of similar morphology, which suggests that the observed behaviour is not specific to the biology of microbes. Upon careful investigation, we find that a fluid pool is formed around yeast cells which facilitates the swimming of the flagellated P. aeruginosa , causing their enhanced motility. Using mathematical modeling we demonstrate how this local enhancement of bacterial motility leads to the enhanced spread observed at the level of the plate. We find that the dynamics of the fluid landscape around the bacteria, mediated by the growing yeast lawn, affects the spreading. For instance, when the yeast lawn grows faster, a bacterial colony prefers a lower initial loading of yeast cells for optimum enhancement in the spread. We confirm our predictions using Candida albicans and C. neoformans, at different initial compositions. In summary, our work shows the importance of considering the dynamically changing physical environment while studying bacterial motility in complex environments.Comment: 14 pages of main text, 5 figures, 4 pages of SI adde

Combining Smart Material Platforms and New Computational Tools to Investigate Cell Motility Behavior and Control

Cell-extracellular matrix (ECM) interactions play a critical role in regulating important biological phenomena, including morphogenesis, tissue repair, and disease states. In vivo, cells are subjected to various mechanical, chemical, and electrical cues to collectively guide their functionality within a specific microenvironment. To better understand the mechanisms regulating cell adhesive, differentiation, and motility dynamics, researchers have developed in vitro platforms to synthetically mimic native tissue responses. While important information about cell-ECM interactions have been revealed using these systems, a knowledge gap currently exists regarding how cell responses in static environments relate to the dynamic cell-ECM interaction behaviors observed in vivo. Advances at the intersection of materials science, biophysics, and cell biology have recently enabled the production of dynamic ECM mimics where cells can be exposed to controlled mechanical, electrical or chemical cues to directly decouple cell-ECM related behaviors from cell-cell or cell-environmental factors. Utilization of these dynamic synthetic biomaterials will enable discovery of novel mechanisms fundamental in tissue development, homeostasis, repair, and disease. In this dissertation, the primary goal was to evaluate how mechanical changes in the ECM regulate cell motility and polarization responses. This was accomplished through two major aims: 1) by developing a modular image processing tool that could be applied in complex synthetic in vitro microenvironments to asses cell motility dynamics, and 2) to utilize that tool to advance understanding of mechanobiology and mechanotransduction processes associated with development, wound healing, and disease progression. Therefore, the first portion of this thesis (Chapters 2 and 3) dealt with proof of concept for our newly developed automated cell tracking system, termed ACTIVE (automated contour-based tracking for in vitro environments), while the second portion of this thesis (Chapter 4-7) addressed applying this system in multiple experimental designs to synthesize new knowledge regarding cell-ECM or cell-cell interactions. In Chapter 1, we introduced why cell-ECM interactions are essential for in vivo processes and highlighted the current state of the literature. In Chapter 2, we demonstrated that ACTIVE could achieve greater than 95% segmentation accuracy at multiple cell densities, while improving two-body cell-cell interaction error by up to 43%. In Chapter 3 we showed that ACTIVE could be applied to reveal subtle differences in fibroblast motility atop static wrinkled or static non-wrinkled surfaces at multiple cell densities. In Chapters 4 and 5, we characterized fibroblast motility and intracellular reorganization atop a dynamic shape memory polymer biomaterial, focusing on the role of the Rho-mediated pathway in the observed responses. We then utilized ACTIVE to identify differences in subpopulation dynamics of monoculture versus co-culture endothelial and smooth muscle cells (Chapter 6). In Chapter 7, we applied ACTIVE to investigate E. coli biofilm formation atop poly(dimethylsiloxane) surfaces with varying stiffness and line patterns. Finally, we presented a summary and future work in Chapter 8. Collectively, this work highlights the capabilities of the newly developed ACTIVE tracking system and demonstrates how to synthesize new information about mechanobiology and mechanotransduction processes using dynamic biomaterial platforms