Gram-negative bacteria inhabit a broad range of ecological niches. For Escherichia coli, this includes river water as well as humans and animals where it can be both a commensal and a pathogen1–3. Intricate regulatory mechanisms ensure bacteria have the right complement of β-barrel outer membrane proteins (OMPs) to enable adaptation to a particular habitat4,5. Yet no mechanism is known for replacing OMPs in the outer membrane (OM), a biological enigma further confounded by the lack of an energy source and the high stability6 and abundance of OMPs5. Here, we uncover the process underpinning OMP turnover in E. coli and show it to be passive and binary in nature wherein old OMPs are displaced to the poles of growing cells as new OMPs take their place. Using fluorescent colicins as OMP-specific probes, in combination with ensemble and single-molecule fluorescence microscopy in vivo and in vitro, as well as molecular dynamics (MD) simulations, we established the mechanism for binary OMP partitioning. OMPs clustered to form islands of ~0.5 μm diameter where their diffusion was restricted by promiscuous interactions with other OMPs. OMP islands were distributed throughout the cell and contained the Bam complex, which catalyses the insertion of OMPs in the OM7,8. However, OMP biogenesis occurred as a gradient that was highest at mid-cell but largely absent at cell poles. The cumulative effect is to push old OMP islands towards the poles of growing cells, leading to a binary distribution when cells divide. Hence the OM of a Gram-negative bacterium is a spatially and temporally organised structure and this organisation lies at the heart of how OMPs are turned over in the membrane.

SignificanceThe outer membrane (OM) excludes antibiotics such as vancomycin that kill gram-positive bacteria, and so is a major contributor to multidrug resistance in gram-negative bacteria. Yet, the OM is readily bypassed by protein bacteriocins, which are toxins released by bacteria to kill their neighbors during competition for resources. Discovered over 60 y ago, it has been a mystery how these proteins cross the OM to deliver their toxic payload. We have discovered how the bacteriocin pyocin S2 (pyoS2), which degrades DNA, enters Pseudomonas aeruginosa cells. PyoS2 tricks the iron transporter FpvAI into transporting it across the OM by a process that is remarkably similar to that used by its endogenous ligand, the siderophore ferripyoverdine.

Coordination of outer membrane constriction with septation is critical to faithful division in Gram-negative bacteria and vital to the barrier function of the membrane. This coordination requires the recruitment of the peptidoglycan-binding outer-membrane lipoprotein Pal at division sites by the Tol system. Here, we show that Pal accumulation at Escherichia coli division sites is a consequence of three key functions of the Tol system. First, Tol mobilises Pal molecules in dividing cells, which otherwise diffuse very slowly due to their binding of the cell wall. Second, Tol actively captures mobilised Pal molecules and deposits them at the division septum. Third, the active capture mechanism is analogous to that used by the inner membrane protein TonB to dislodge the plug domains of outer membrane TonB-dependent nutrient transporters. We conclude that outer membrane constriction is coordinated with cell division by active mobilisation-and-capture of Pal at division septa by the Tol system.

Partitioning of membrane proteins into various types of microdomains is crucial for many cellular functions. Tetraspanin-enriched microdomains (TEMs) are a unique type of protein-based microdomain, clearly distinct from membrane rafts, and important for several cellular processes such as fusion, migration and signaling. Paradoxically, HIV-1 assembly/egress occurs at TEMs, yet the viral particles also incorporate raft lipids. Using different quantitative microscopy approaches, we investigated the dynamic relationship between TEMs, membrane rafts and HIV-1 exit sites, focusing mainly on the tetraspanin CD9. Our results show that clustering of CD9 correlates with multimerization of the major viral structural component, Gag, at the plasma membrane. CD9 exhibited confined behavior and reduced lateral mobility at viral assembly sites, suggesting that Gag locally traps tetraspanins. In contrast, the raft lipid GM1 and the raft-associated protein CD55, while also recruited to assembly/budding sites, were only transiently trapped in these membrane areas. CD9 recruitment and confinement were found to be partially dependent on cholesterol, while those of CD55 were completely dependent on cholesterol. Importantly, our findings support the emerging concept that cellular and viral components, instead of clustering at preexisting microdomain platforms, direct the formation of distinct domains for the execution of specific functions.

HighlightsWe discuss spatiotemporal patterning in the bacterial outer membrane.Promiscuous interactions between outer membrane proteins govern their behaviour.Turnover and biogenesis of outer membrane proteins linked to formation of clusters.Implications of spatiotemporal patterning for bacterial physiology discussed.

BackgroundSingle particle tracking (SPT) is nowadays one of the most popular technique to probe spatio-temporal dynamics of proteins diffusing within the plasma membrane. Indeed membrane components of eukaryotic cells are very dynamic molecules and can diffuse according to different motion modes. Trajectories are often reconstructed frame-by-frame and dynamic properties often evaluated using mean square displacement (MSD) analysis. However, to get statistically significant results in tracking experiments, analysis of a large number of trajectories is required and new methods facilitating this analysis are still needed.ResultsIn this study we developed a new algorithm based on back-propagation neural network (BPNN) and MSD analysis using a sliding window. The neural network was trained and cross validated with short synthetic trajectories. For simulated and experimental data, the algorithm was shown to accurately discriminate between Brownian, confined and directed diffusion modes within one trajectory, the 3 main of diffusion encountered for proteins diffusing within biological membranes. It does not require a minimum number of observed particle displacements within the trajectory to infer the presence of multiple motion states. The size of the sliding window was small enough to measure local behavior and to detect switches between different diffusion modes for segments as short as 20 frames. It also provides quantitative information from each segment of these trajectories. Besides its ability to detect switches between 3 modes of diffusion, this algorithm is able to analyze simultaneously hundreds of trajectories with a short computational time.ConclusionThis new algorithm, implemented in powerful and handy software, provides a new conceptual and versatile tool, to accurately analyze the dynamic behavior of membrane components.Electronic supplementary materialThe online version of this article (doi:10.1186/s12859-016-1064-z) contains supplementary material, which is available to authorized users.

Gram-negative bacteria depend on energised protein complexes that connect the two membranes of the cell envelope. However, β-barrel outer-membrane proteins (OMPs) and α-helical inner-membrane proteins (IMPs) display quite different organisation. OMPs cluster into islands that restrict their lateral mobility, while IMPs generally diffuse throughout the cell. Here, using live cell imaging of Escherichia coli, we demonstrate that when transient, energy-dependent transmembrane connections are formed, IMPs become subjugated by the inherent organisation of OMPs and that such connections impact IMP function. We show that while establishing a translocon for import, the colicin ColE9 sequesters the IMPs of the proton motive force (PMF)-linked Tol-Pal complex into islands mirroring those of colicin-bound OMPs. Through this imposed organisation, the bacteriocin subverts the outer-membrane stabilising role of Tol-Pal, blocking its recruitment to cell division sites and slowing membrane constriction. The ordering of IMPs by OMPs via an energised inter-membrane bridge represents an emerging functional paradigm in cell envelope biology.

The spatiotemporal organisation of membranes is often characterised by the formation of large protein clusters. In Escherichia coli, outer membrane protein (OMP) clustering leads to OMP islands, the formation of which underpins OMP turnover and drives organisation across the cell envelope. Modelling how OMP islands form in order to understand their origin and outer membrane behaviour has been confounded by the inherent difficulties of simulating large numbers of OMPs over meaningful timescales. Here, we overcome these problems by training a mesoscale model incorporating thousands of OMPs on coarse-grained molecular dynamics simulations. We achieve simulations over timescales that allow direct comparison to experimental data of OMP behaviour. We show that specific interaction surfaces between OMPs are key to the formation of OMP clusters, that OMP clusters present a mesh of moving barriers that confine newly inserted proteins within islands, and that mesoscale simulations recapitulate the restricted diffusion characteristics of OMPs.