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The gut microbiota comprises hundreds of species with a composition shaped by the available glycans. The well-studied starch utilization system (Sus) is a prototype for glycan uptake in the human gut bacterium Bacteroides thetaiotaomicron (Bt). Each Sus-like system includes outer-membrane proteins, which translocate glycan into the periplasm, and one or more cell-surface glycoside hydrolases, which break down a specific (cognate) polymer substrate. Although the molecular mechanisms of the Sus system are known, how the Sus and Sus-like proteins cooperate remains elusive. Previously, we used single-molecule and super-resolution fluorescence microscopy to show that SusG is mobile on the outer membrane and slows down in the presence of starch. Here, we compare the dynamics of three glycoside hydrolases: SusG, Bt4668, and Bt1760, which target starch, galactan, and levan, respectively. We characterized the diffusion of each surface hydrolase in the presence of its cognate glycan and found that all three enzymes are mostly immobile in the presence of the polysaccharide, consistent with carbohydrate binding. Moreover, experiments in glucose versus oligosaccharides suggest that the enzyme dynamics depend on their expression level. Furthermore, we characterized enzyme diffusion in a mixture of glycans and found that noncognate polysaccharides modify the dynamics of SusG and Bt1760 but not Bt4668. We investigated these systems with polysaccharide mixtures and genetic knockouts and found that noncognate polysaccharides modify hydrolase dynamics through some combination of nonspecific protein interactions and downregulation of the hydrolase. Overall, these experiments extend our understanding of how Sus-like lipoprotein dynamics can be modified by changing carbohydrate conditions and the expression level of the enzyme.

High-resolution imaging of biomolecular condensates in living cells is essential for correlating their properties to those observed through in vitro assays. However, such experiments are limited in bacteria due to resolution limitations. Here we present an experimental framework that probes the formation, reversibility, and dynamics of condensate-forming proteins in Escherichia coli as a means to determine the nature of biomolecular condensates in bacteria. We demonstrate that condensates form after passing a threshold concentration, maintain a soluble fraction, dissolve upon shifts in temperature and concentration, and exhibit dynamics consistent with internal rearrangement and exchange between condensed and soluble fractions. We also discovered that an established marker for insoluble protein aggregates, IbpA, has different colocalization patterns with bacterial condensates and aggregates, demonstrating its applicability as a reporter to differentiate the two in vivo. Overall, this framework provides a generalizable, accessible, and rigorous set of experiments to probe the nature of biomolecular condensates on the sub-micron scale in bacterial cells.

Histone H3 lysine 9 methylation (H3K9me) epigenetically silences gene expression by forming heterochromatin. Proteins called HP1, which contain specialized reader domains, bind to H3K9me and recruit factors that regulate epigenetic silencing. Though these interactions have been identifiedin vitro, we do not understand how HP1 proteins specifically and selectively bind to heterochromatin-associated factors within the nucleus. Using fission yeast as a model system, we measured the single-molecule dynamics associated with two archetypal HP1 paralogs, Swi6 and Chp2, and inferred how they form complexes with their interacting partners: Epe1, a putative H3K9 demethylase; Clr3, a histone deacetylase; and Mit1, a chromatin remodeler. Through a series of genetic perturbations that affect H3K9 methylation and HP1-mediated recruitment, we were able to track altered diffusive properties associated with each HP1 protein and its binding partner. Our findings show that the HP1-interacting proteins we investigated only co-localize with Swi6 and Chp2 at sites of H3K9me. When H3K9me is absent, Epe1 and Swi6 exhibit diffusive states consistent with off-chromatin interactions. Our results suggest that histone modifications like H3K9 methylation are not simply inert binding platforms but rather, they can shift the balance of HP1 complex assembly toward a predominantly chromatin-bound state. By inferring protein-protein interactions based on the altered mobilities of proteins in living cells, we propose that H3K9 methylation can stimulate the assembly of diverse HP1-associated complexes on chromatin.SIGNIFICANCE STATEMENTDuring differentiation, epigenetic silencing is essential for preserving cellular identity. Establishing and maintaining epigenetic silencing depends on histone H3 lysine 9 methylation, which HP1 proteins recognize and bind with low micromolar affinity and millisecond-scale kinetics. HP1 proteins also recruit diverse histone modifiers to maintain gene silencing. HP1 protein biochemistry has revealed whatcanhappen, but the state-of-the-art in this field includes little about whatdoeshappen in the complex and crowded environment of the nucleus. Using single-molecule tracking of HP1 proteins and their binding partners, we identified the rules that govern their complex formation in the native chromatin context, and we found that chromatin— previously thought to be an inert platform—enhances complex formation between HP1 and its binding partners.

Bacteria rely on protein systems for regulation in response to external environmental signals. Single-molecule fluorescence imaging and tracking has elucidated the complex mechanism of these protein systems in a variety of bacteria. We recently investigated Vibrio cholerae, the Gram-negative bacterium responsible for the human cholera disease, and its regulation of the production of toxins and virulence factors through the membrane-localized transcription factors TcpP and ToxR. These experiments determined that TcpP and ToxR work cooperatively under steady-state conditions, but measurements of how these dynamical interactions change over the course of environmental perturbations were precluded by the traditional preparation of bacteria cells confined on agarose pads. Here, we address this gap in technology and access single-molecule dynamics during real-time changes by implementing two alternative sample preparations: device microfluidic device and chitosan-coated coverslips. We report the first demonstration of single-molecule tracking within live bacterial cells in a microfluidic device. Additionally, using the chitosan-coated coverslips, we show that real-time environmental changes impact TcpP-PAmCherry dynamics, activating a virulence condition in the bacteria about 45 minutes after dropping to pH 6 and about 20 minutes after inducing ToxR expression. These new technology advances open our ability for new experiments studying a variety of bacteria with single-molecule imaging and tracking during real-time environmental perturbations.

Bilin-binding fluorescent proteins like UnaG-bilirubin are noncovalent ligand-dependent reporters for oxygen-free microscopy but are restricted to blue and far-red fluorescence. Here we describe a high-throughput screening approach to provide a new UnaG-ligand pair that can be excited in the 532 nm green excitation microscopy channel. We identified a novel orange UnaG-ligand pair that maximally emits at 581 nm. Whereas the benzothiazole-based ligand itself is nominally fluorescent, the compound binds UnaG with high affinity (Kd = 3 nM) to induce a 2.5-fold fluorescence intensity enhancement and a 10 nm red shift. We demonstrated this pair in the anaerobic fluorescence microscopy of the prevalent gut bacterium Bacteroides thetaiotaomicron and in Escherichia coli. This UnaG-ligand pair can also be coupled to IFP2.0-biliverdin to differentiate cells in mixed-species two-color imaging. Our results demonstrate the versatility of the UnaG ligand-binding pocket and extend the ability to image cells at longer wavelengths in anoxic environments.

Recent investigations in bacteria suggest that membraneless organelles play a crucial role in the subcellular organization of bacterial cells. However, the biochemical functions and assembly mechanisms of these compartments have not yet been completely characterized. This Review assesses the current methodologies used in the study of membraneless organelles in bacteria, highlights the limitations in determining the phase of complexes in cells that are typically an order of magnitude smaller than a eukaryotic cell, and identifies gaps in our current knowledge about the functional role of membraneless organelles in bacteria. Liquid-liquid phase separation (LLPS) is one proposed mechanism for membraneless organelle assembly. Overall, we outline the framework to evaluate LLPSin vivoin bacteria, we describe the bacterial systems with proposed LLPS activity, and we comment on the general role LLPS plays in bacteria and how it may regulate cellular function. Lastly, we provide an outlook for super-resolution microscopy and single-molecule tracking as tools to assess condensates in bacteria.Statement of SignificanceThough membraneless organelles appear to play a crucial role in the subcellular organization and regulation of bacterial cells, the biochemical functions and assembly mechanisms of these compartments have not yet been completely characterized. Furthermore, liquid-liquid phase separation (LLPS) is one proposed mechanism for membraneless organelle assembly, but it is difficult to determine subcellular phases in tiny bacterial cells. Thus, we outline the framework to evaluate LLPSin vivoin bacteria and we describe the bacterial systems with proposed LLPS activity in the context of these criteria.

HP1 proteins traverse a complex and crowded chromatin landscape to bind with low affinity but high specificity to histone H3K9 methylation (H3K9me) and form transcriptionally inactive genomic compartments called heterochromatin. Here, we visualize single-molecule dynamics of an HP1 homolog, the fission yeast Swi6, in its native chromatin environment. By tracking single Swi6 molecules, we identify mobility states that map to discrete biochemical intermediates. Using Swi6 mutants that perturb H3K9me recognition, oligomerization, or nucleic acid binding, we determine how each biochemical property affects protein dynamics. We estimate that Swi6 recognizes H3K9me3 with ~94-fold specificity relative to unmodified nucleosomes in living cells. While nucleic acid binding competes with Swi6 oligomerization, as few as four tandem chromodomains can overcome these inhibitory effects to facilitate Swi6 localization at heterochromatin formation sites. Our studies indicate that HP1 oligomerization is essential to form dynamic, higher-order complexes that outcompete nucleic acid binding to enable specific H3K9me recognition.

Single particle tracking (SPT) enables the investigation of biomolecular dynamics at a high temporal and spatial resolution in living cells, and the analysis of these SPT datasets can reveal biochemical interactions and mechanisms. Still, how to make the best use of these tracking data for a broad set of experimental conditions remains an analysis challenge in the field. Here, we develop a new SPT analysis framework: NOBIAS (NOnparametric Bayesian Inference for Anomalous Diffusion in Single-Molecule Tracking), which applies nonparametric Bayesian statistics and deep learning approaches to thoroughly analyze SPT datasets. In particular, NOBIAS handles complicated live-cell SPT data for which: the number of diffusive states is unknown, mixtures of different diffusive populations may exist within single trajectories, symmetry cannot be assumed between the x and y directions, and anomalous diffusion is possible. NOBIAS provides the number of diffusive states without manual supervision, it quantifies the dynamics and relative populations of each diffusive state, it provides the transition probabilities between states, and it assesses the anomalous diffusion behavior for each state. We validate the performance of NOBIAS with simulated datasets and apply it to the diffusion of single outer-membrane proteins in Bacteroides thetaiotaomicron. Furthermore, we compare NOBIAS with other SPT analysis methods and find that, in addition to these advantages, NOBIAS is robust and has high computational efficiency and is particularly advantageous due to its ability to treat experimental trajectories with asymmetry and anomalous diffusion.

Fluorescent tools such as green fluorescent protein (GFP) have been used extensively as reporters in biochemistry and microbiology, but GFP and other conventional fluorescent proteins are restricted to aerobic environments. This limitation precludes fluorescence studies of anaerobic ecologies including polymicrobial communities in the human gut microbiome and in soil microbiomes, which profoundly affect health, disease, and the environment. To address this limitation, we describe the first implementation of two bilin-binding fluorescent proteins (BBFPs), UnaG and IFP2.0, as oxygen-independent fluorescent labels for live-cell imaging in anaerobic bacteria. Expression of UnaG or IFP2.0 in the prevalent gut bacterium Bacteroides thetaiotaomicron (B. theta) results in detectable fluorescence upon the addition of the bilirubin or biliverdin ligand, even in anaerobic conditions. Furthermore, these BBFPs can be used in two-color imaging to differentiate cells expressing either UnaG or IFP2.0; UnaG and IFP2.0 can also be used to distinguish B. theta from other common gut bacterial species in mixed-culture live-cell imaging. BBFPs are promising fluorescent tools for live-cell imaging investigations of otherwise inaccessible anaerobic polymicrobial communities.

Unique morphologies can enable bacteria to survive in their native environment. Furthermore, many bacteria change their cell shape to adapt to different environmental conditions. For instance, some bacteria increase their surface area under carbon or nitrogen starvation. Bacteriodes thetaiotaomicron is an abundant human gut species; it efficiently degrades a number of carbohydrates and also supports the growth of other bacteria by breaking down complex polysaccharides. The gut provides a variable environment as nutrient availability is subject to the diet and health of the host, yet how gut bacteria adapt and change their morphologies under different nutrient conditions has not been studied. Here, for the first time, we report an elongated B. thetaiotaomicron morphology under sugar-limited conditions using live-cell imaging; this elongated morphology is enhanced in the presence of sodium bicarbonate. Similarly, we also observed that sodium bicarbonate produces an elongated-length phenotype in another Gram-negative gut bacterium, Escherichia coli . The increase in cell length might provide an adaptive advantage for cells to survive under nutrient-limited conditions.

Complex carbohydrates shape the gut microbiota and the collective fermentation of resistant starch by gut microbes positively affects human health through enhanced butyrate production. The keystone species Ruminococcus bromii (Rb) is a specialist in degrading resistant starch; its degradation products are used by other bacteria including Bacteroides thetaiotaomicron (Bt). We analyzed the metabolic and spatial relationships between Rb and Bt during potato starch degradation and found that Bt utilizes glucose that is released from Rb upon degradation of resistant potato starch and soluble potato amylopectin. Additionally, we found that Rb produces a halo of glucose around it when grown on solid media containing potato amylopectin and that Bt cells deficient for growth on potato amylopectin (Δsus Bt) can grow within the halo. Furthermore, when these Δsus Bt cells grow within this glucose halo, they have an elongated cell morphology. This long-cell phenotype depends on the glucose concentration in the solid media: longer Bt cells are formed at higher glucose concentrations. Together, our results indicate that starch degradation by Rb cross-feeds other bacteria in the surrounding region by releasing glucose. Our results also elucidate the adaptive morphology of Bt cells under different nutrient and physiological conditions.Impact StatementDietary intake of complex carbohydrates including resistant starch benefits human health by supporting the growth of keystone species that increase the microbiome diversity via cross-feeding. For instance, Ruminococcus bromii (Rb) is a specialist in degrading resistant starch, and the byproducts of this degradation process are used by bacterial species. In this study, we show that Bacteroides thetaiotaomicron (Bt) cross-feeds on the glucose released during potato starch degradation by Rb. We also show that proximity to Rb cells that are releasing sugars is important for the growth of the cross-fed Bt in solid media. Additionally, we find a longer phenotype for Bt cells grown on solid media in high glucose conditions, indicating that, like other bacteria, human gut bacteria undergo significant nutrient-dependent morphological adaptations.

Heterochromatin is most often associated with eukaryotic organisms. Yet, bacteria also contain areas with densely protein-occupied chromatin that appear to silence gene expression. One nucleoid-associated silencing factor is the conserved protein Hfq. Although seemingly nonspecific in its DNA binding properties, Hfq is strongly enriched at AT-rich DNA regions, characteristic of prophages and mobile genetic elements. Here, we demonstrate that polyphosphate (polyP), an ancient and highly conserved polyanion, is essential for the site-specific DNA binding properties of Hfq in bacteria. Absence of polyP markedly alters the DNA binding profile of Hfq, causes unsolicited prophage and transposon mobilization, and increases mutagenesis rates and DNA damage–induced cell death. In vitro reconstitution of the system revealed that Hfq and polyP interact with AT-rich DNA sequences and form phase-separated condensates, a process that is mediated by the intrinsically disordered C-terminal extensions of Hfq. We propose that polyP serves as a newly identified driver of heterochromatin formation in bacteria.

Cholera is a diarrheal disease caused by the Gram-negative bacterium Vibrio cholerae. To reach the surface of intestinal epithelial cells, proliferate, and cause disease, V. cholerae tightly regulates the production of virulence factors such as cholera toxin (ctxAB) and the toxin-coregulated pilus (tcpA-F). ToxT is directly responsible for regulating these major virulence factors while TcpP and ToxR indirectly regulate virulence factor production by stimulating toxT expression. TcpP and ToxR are membrane-localized transcription activators (MLTAs) required to activate toxT expression. To gain a deeper understanding of how MLTAs identify promoter DNA while in the membrane, we tracked the dynamics of single TcpP-PAmCherry molecules in live cells using photoactivated localization microscopy and identified heterogeneous diffusion patterns. Our results provide evidence that (i) TcpP exists in three biophysical states (fast diffusion, intermediate diffusion, and slow diffusion), (ii) TcpP transitions between these different diffusion states, (iii) TcpP molecules in the slow diffusion state are interacting with the toxT promoter, and (iv) ToxR is not essential for TcpP to localize the toxT promoter. These data refine the current model of cooperativity between TcpP and ToxR in stimulating toxT expression and demonstrate that TcpP locates the toxT promoter independently of ToxR. IMPORTANCE Vibrio cholerae continues to be a public health threat throughout much of the world. Its ability to cause disease is governed by an unusual complex of regulatory proteins in the membrane of the cell, including ToxR and TcpP. These proteins collaborate to activate expression of the toxT gene, whose product activates genes for cholera toxin and other virulence factors. To study these membrane regulators, ToxR and TcpP, we applied superresolution imaging, which enables us to look at individual proteins in living cells. With this approach, we have uncovered dynamic intermolecular relationships between ToxR, TcpP, and toxT promoter DNA that dictate how toxT expression occurs. Because membrane regulators like ToxR and TcpP are broadly distributed in nature but poorly understood, this work describes mechanisms and approaches that will be of significant interest to a wide range of microbial scientists.

The double membrane architecture of Gram-negative bacteria forms a barrier that is effectively impermeable to extracellular threats. Bacteriocin proteins evolved to exploit the accessible, surface-exposed proteins embedded in the outer membrane to deliver cytotoxic cargo. Colicin E1 is a bacteriocin produced by, and lethal to, Escherichia coli that hijacks the outer membrane proteins TolC and BtuB to enter the cell. Here we capture the colicin E1 translocation domain inside its membrane receptor, TolC, by high-resolution cryoEM, the first reported structure of a bacteriocin bound to TolC. Colicin E1 binds stably to TolC as an open hinge through the TolC pore—an architectural rearrangement from colicin E1’s unbound conformation. This binding is stable in live E. coli cells as indicated by single-molecule fluorescence microscopy. Finally, colicin E1 fragments binding to TolC plugs the channel, inhibiting its native efflux function as an antibiotic efflux pump and heightening susceptibility to three antibiotic classes. In addition to demonstrating that these protein fragments are useful starting points for developing novel antibiotic potentiators, this method could be expanded to other colicins to inhibit other outer membrane protein functions.

Fluorescent molecules are highly susceptible to their local environment. Thus, a fluorescent molecule near a plasmonic nanoparticle can experience changes in local electric field and local density of states that reshape its intrinsic emission spectrum. By avoiding ensemble averaging while simultaneously measuring the super-resolved position of the fluorophore and its emission spectrum, single-molecule hyperspectral imaging is uniquely suited to differentiate changes in the spectrum from heterogeneous ensemble effects. Thus, we uncover for the first time single-molecule fluorescence emission spectrum reshaping upon near-field coupling to individual gold nanoparticles using hyperspectral super-resolution fluorescence imaging, and we resolve this spectral reshaping as a function of the nanoparticle/dye spectral overlap and separation distance. We find that dyes bluer than the plasmon resonance maximum are red-shifted and redder dyes are blue-shifted. The primary vibronic peak transition probabilities shift to favor secondary vibronic peaks, leading to effective emission maxima shifts in excess of 50 nm, and we understand these light-matter interactions by combining super-resolution hyperspectral imaging and full-field electromagnetic simulations.

HP1 proteins bind with low affinity but high specificity to sites of histone H3 lysine 9 methylation (H3K9me) in the genome. HP1 binding to H3K9me compartmentalizes the genome into transcriptionally inactive heterochromatin and actively transcribed euchromatin. A characteristic feature of HP1 proteins is their dynamic and rapid turnover from sites of heterochromatin formation. How low-affinity H3K9me recognition enables HP1 proteins to rapidly and efficiently traverse a complex and crowded chromatin landscape on the millisecond timescale remains a paradox. Here, we visualize the real-time motions of an HP1 homolog, the fission yeast protein Swi6, in its native chromatin environment. By analyzing the motions of Swi6 with high spatial and temporal resolution, we map individual mobility states that are directly linked to discrete biochemical intermediates. We find that nucleic acid binding titrates Swi6 away from sites of heterochromatin formation, whereas increasing the valency of chromodomain-mediated H3K9me recognition promotes specific chromatin localization. We propose that Swi6 oligomerization compensates for low-affinity H3K9me recognition and provides a tunable mechanism for protein turnover. Our high-resolution biophysical studies provide a comprehensive framework for in vivo biochemistry and reveal how the competing biochemical properties of Swi6 affect H3K9me recognition in living cells.

Unique morphologies can enable bacteria to survive in their native environment. Furthermore, many bacteria change their cell shape to adapt to different environmental conditions. For instance, some bacteria increase their surface area under carbon or nitrogen starvation.

Bacteroides thetaiotaomicron (Bt) is a prominent member of the human gut microbiota with an extensive capacity for glycan harvest. This bacterium expresses a five-protein complex in the outer membrane, called the starch utilization system (Sus), which binds, degrades, and imports starch into the cell. Sus is a model system for the many glycan-targeting polysaccharide utilization loci found in Bt and other members of the Bacteroidetes phylum. Our previous work has shown that SusG, a lipidated amylase in the outer membrane, explores the entire cell surface but diffuses more slowly as it interacts with starch. Here, we use a combination of single-molecule tracking, super-resolution imaging, reverse genetics, and proteomics to show that SusE and SusF, two proteins that bind starch, are immobile on the cell surface even when other members of the system are knocked out and under multiple different growth conditions. This observation suggests a new paradigm for protein complex formation: binding proteins form immobile complexes that transiently associate with a mobile enzyme partner.

Super-resolution imaging has provided new insights into nanoscale optics. Plasmonic gold nanotriangle arrays created by nanosphere lithography can enhance single-molecule fluorescence intensity to further improve imaging. Here, gold nanotriangle arrays on glass coverslips were used as inexpensive, facile, and broadly applicable imaging substrates for living Vibrio cholerae cells expressing photoactivatable fluorescent proteins—the red PAmCherry or the green PAGFP—and resulted in fluorescence enhancements upon coupling living cells to nanotriangle arrays. Within the requirements for this wide-field coupling geometry, we analyze and optimize the coupling as a function of local surface plasmon resonance frequency and particle coverage.

Single-molecule super-resolution imaging and tracking can measure molecular motions inside living cells on the scale of the molecules themselves. Diffusion in biological systems commonly exhibits multiple modes of motion, which can be effectively quantified by fitting the cumulative probability distribution of the squared step sizes in a two-step fitting process. Here we combine this two-step fit into a single least-squares minimization; this new method vastly reduces the total number of fitting parameters and increases the precision with which diffusion may be measured. We demonstrate this Global Fit approach on a simulated two-component system as well as on a mixture of diffusing 80 nm and 200 nm gold spheres to show improvements in fitting robustness and localization precision compared to the traditional Local Fit algorithm.

The strong light-matter interactions between dyes and plasmonic nanoantennas enable the study of fundamental molecular-optical processes. Here, we overcome conventional limitations with high-throughput single-molecule polarization-resolved microscopy to measure dye emission polarization modifications upon near-field coupling to a gold nanorod. We determine that the emission polarization distribution is not only rotated toward the nanorod's dominant localized surface plasmon mode as expected, but it is also unintuitively broadened. With a reduced-order analytical model, we elucidate how this distribution broadening depends upon both far-field interference and off-resonant coupling between the molecular dipole and the nanorod transverse plasmon mode. Experiments and modeling reveal that a nearby plasmonic nanoantenna affects dye emission polarization through a multicolor process, even when the orthogonal plasmon modes are separated by approximately 3 times the dye emission line width. Beyond advancing our understanding of plasmon-coupled emission modifications, this work promises to improve high-sensitivity single-molecule fluorescence imaging, biosensing, and spectral engineering.

Single-molecule fluorescence microscopy probes nanoscale, subcellular biology in real time. Existing methods for analyzing single-particle tracking data provide dynamical information, but can suffer from supervisory biases and high uncertainties. Here, we introduce a new approach to analyzing single-molecule trajectories: the Single-Molecule Analysis by Unsupervised Gibbs sampling (SMAUG) algorithm, which uses nonparametric Bayesian statistics to uncover the whole range of information contained within a single-particle trajectory (SPT) dataset. Even in complex systems where multiple biological states lead to a number of observed mobility states, SMAUG provides the number of mobility states, the average diffusion coefficient of single molecules in that state, the fraction of single molecules in that state, the localization noise, and the probability of transitioning between two different states. In this paper, we provide the theoretical background for the SMAUG analysis and then we validate the method using realistic simulations of SPT datasets as well as experiments on a controlled in vitro system. Finally, we demonstrate SMAUG on real experimental systems in both prokaryotes and eukaryotes to measure the motions of the regulatory protein TcpP in Vibrio cholerae and the dynamics of the B-cell receptor antigen response pathway in lymphocytes. Overall, SMAUG provides a mathematically rigorous approach to measuring the real-time dynamics of molecular interactions in living cells.Statement of SignificanceSuper-resolution microscopy allows researchers access to the motions of individual molecules inside living cells. However, due to experimental constraints and unknown interactions between molecules, rigorous conclusions cannot always be made from the resulting datasets when model fitting is used. SMAUG (Single-Molecule Analysis by Unsupervised Gibbs sampling) is an algorithm that uses Bayesian statistical methods to uncover the underlying behavior masked by noisy datasets. This paper outlines the theory behind the SMAUG approach, discusses its implementation, and then uses simulated data and simple experimental systems to show the efficacy of the SMAUG algorithm. Finally, this paper applies the SMAUG method to two model living cellular systems—one bacterial and one mammalian—and reports the dynamics of important membrane proteins to demonstrate the usefulness of SMAUG to a variety of systems.

Single-molecule and super-resolution imaging relies on successful, sensitive, and accurate detection of the emission from fluorescent molecules. Yet, despite the widespread adoption of super-resolution microscopies, single-molecule data processing algorithms can fail to provide accurate measurements of the brightness and position of molecules in the presence of backgrounds that fluctuate significantly over time and space. Thus, samples or experiments that include obscuring backgrounds can severely, or even completely, hinder this process. To date, no general data analysis approach to this problem has been introduced that is capable of removing obscuring backgrounds for a wide variety of experimental modalities. To address this need, we present the Single-Molecule Accurate LocaLization by LocAl Background Subtraction (SMALL-LABS) algorithm, which can be incorporated into existing single-molecule and super-resolution analysis packages to accurately locate and measure the intensity of single molecules, regardless of the shape or brightness of the background. Accurate background subtraction is enabled by separating the foreground from the background based on differences in the temporal variations of the foreground and the background (i.e., fluorophore blinking, bleaching, or moving). We detail the function of SMALL-LABS here, and we validate the SMALL-LABS algorithm on simulated data as well as real data from single-molecule imaging in living cells.

The emission properties of fluorescent molecules are strongly affected by proximal plasmonic nanoparticles that act as optical nanoantennas. In particular, fluorescence intensity can be greatly increased by enhancing both the excitation and emission rates of a fluorophore, and the angular and spatial emission pattern from a dye coupled to a plasmonic nanoantenna will be altered. Here, we use single-molecule imaging to measure this shifted emission pattern based on the super-resolution image of cyanine dye molecules coupled to gold nanotriangles. To compare the relative effects of excitation versus emission enhancement on the emission pattern, we vary laser excitation wavelengths, dye emission and absorbance spectra, and local surface plasmon resonance frequency. We demonstrate that the emission pattern is dramatically changed when coupling occurs and that coupling between the dye and gold nanotriangle happens even in the absence of intensity enhancement.

By following single fluorescent molecules in a microscope, single-particle tracking (SPT) can measure diffusion and binding on the nanometer and millisecond scales. Still, although SPT can at its limits characterize the fastest biomolecules as they interact with subcellular environments, this measurement may require advanced illumination techniques such as stroboscopic illumination. Here, we address the challenge of measuring fast subcellular motion by instead analyzing single-molecule data with spatiotemporal image correlation spectroscopy (STICS) with a focus on measurements of confined motion. Our SPT and STICS analysis of simulations of the fast diffusion of confined molecules shows that image blur affects both STICS and SPT, and we find biased diffusion rate measurements for STICS analysis in the limits of fast diffusion and tight confinement due to fitting STICS correlation functions to a Gaussian approximation. However, we determine that with STICS, it is possible to correctly interpret the motion that blurs single-molecule images without advanced illumination techniques or fast cameras. In particular, we present a method to overcome the bias due to image blur by properly estimating the width of the correlation function by directly calculating the correlation function variance instead of using the typical Gaussian fitting procedure. Our simulation results are validated by applying the STICS method to experimental measurements of fast, confined motion: we measure the diffusion of cytosolic mMaple3 in living Escherichia coli cells at 25 frames/s under continuous illumination to illustrate the utility of STICS in an experimental parameter regime for which in-frame motion prevents SPT and tight confinement of fast diffusion precludes stroboscopic illumination. Overall, our application of STICS to freely diffusing cytosolic protein in small cells extends the utility of single-molecule experiments to the regime of fast confined diffusion without requiring advanced microscopy techniques.

Single-molecule fluorescence super-resolution imaging and tracking provide nanometer-scale information about subcellular protein positions and dynamics. These single-molecule imaging experiments can be very powerful, but they are best suited to high-copy number proteins where many measurements can be made sequentially in each cell. We describe artifacts associated with the challenge of imaging a protein expressed in only a few copies per cell. We image live Bacillus subtilis in a fluorescence microscope, and demonstrate that under standard single-molecule imaging conditions, unlabeled B. subtilis cells display punctate red fluorescent spots indistinguishable from the few PAmCherry fluorescent protein single molecules under investigation. All Bacillus species investigated were strongly affected by this artifact, whereas we did not find a significant number of these background sources in two other species we investigated, Enterococcus faecalis and Escherichia coli. With single-molecule resolution, we characterize the number, spatial distribution, and intensities of these impurity spots.

Biomolecular condensates play a key role in organizing RNAs and proteins into membraneless organelles. Bacterial RNP-bodies (BR-bodies) are a biomolecular condensate containing the RNA degradosome mRNA decay machinery, but the biochemical function of such organization remains poorly defined. Here we define the RNA substrates of BR-bodies through enrichment of the bodies followed by RNA-seq. We find that long, poorly translated mRNAs, small RNAs, and antisense RNAs are the main substrates, while rRNA, tRNA, and other conserved ncRNAs are excluded from these bodies. BR-bodies stimulate the mRNA decay rate of enriched mRNAs, helping to reshape the cellular mRNA pool. We also observe that BR-body formation promotes complete mRNA decay, avoiding the build-up of toxic endo-cleaved mRNA decay intermediates. The combined selective permeability of BR-bodies for both, enzymes and substrates together with the stimulation of the sub-steps of mRNA decay provide an effective organization strategy for bacterial mRNA decay.

The replisome is a multiprotein machine responsible for the faithful replication of chromosomal and plasmid DNA. Using single-molecule super-resolution imaging, we characterized the dynamics of three replisomal proteins in live Bacillus subtilis cells: the two replicative DNA polymerases, PolC and DnaE, and a processivity clamp loader subunit, DnaX. We quantified the protein mobility and dwell times during normal replication and following replication fork stress using damage-independent and damage-dependent conditions. With these results, we report the dynamic and cooperative process of DNA replication based on changes in the measured diffusion coefficients and dwell times. These experiments show that the replication proteins are all highly dynamic and that the exchange rate depends on whether DNA synthesis is active or arrested. Our results also suggest coupling between PolC and DnaX in the DNA replication process and indicate that DnaX provides an important role in synthesis during repair. Furthermore, our results suggest that DnaE provides a limited contribution to chromosomal replication and repair in vivo.