Reversing cell polarity: evidence and hypothesis

Four different mechanisms for switching cell polarity

The mechanisms and design principles of regulatory systems establishing stable polarized protein patterns within cells are well studied. However, cells can also dynamically control their cell polarity. Here, we ask how an upstream signaling system can switch the orientation of a polarized pattern. We use a mathematical model of a core polarity system based on three proteins as the basis to study different mechanisms of signal-induced polarity switching. The analysis of this model reveals four general classes of switching mechanisms with qualitatively distinct behaviors: the transient oscillator switch, the reset switch, the prime-release switch, and the push switch. Each of these regulatory mechanisms effectively implements the function of a spatial toggle switch, however with different characteristics in their nonlinear and stochastic dynamics. We identify these characteristics and also discuss experimental signatures of each type of switching mechanism.

Short time-scale bacterial adhesion dynamics

In natural conditions many bacterial populations are found as surface-attached communities exhibiting features distinct from those of planktonic cells. We focus here on the question of initial adhesion, the mechanisms of which are still far from being fully understood. Recently, the frontier between microbiologists and physicists has become increasingly permeable, boosting implementation of new methodological approaches for better elucidating the intricate aspects of initial bacterial adhesion. After discussing briefly the main sources of complexity that confuse the understanding of the early steps of cell-surface attachment, we present a selection of physical methods enabling real-time measurement of early adhesion kinetics in live cells. We also discuss the limitations and pitfalls that might appear when applying such methodologies - initially designed for studying physically ideal systems - to analysis of these, more complex, living systems. We address mainly on the use of dispersed-surfaces flow cytometry (DS-FCM), quartz microbalance (QCM) and surface plasmon resonance (SPR) approaches, and give a brief survey of new perspectives in optical microscopy. We conclude that the use of combined and multiparametric technical approaches will lead to significant advances in providing a comprehensive understanding of the early events in bacterial adhesion.

Localization of MglA, an essential gliding motility protein in Myxococcus xanthus

MglA, a 22-kDa protein related to monomeric GTPases, is required for the normal operation of the A (Adventurous) and S (Social) motility and for multicellular development of Myxococcus xanthus. To determine how MglA controls A- and S-motility, MglA was assayed biochemically and its cellular location was determined. His-tagged MglA hydrolyzed GTP slowly in vitro at a rate nearly identical to that of Ras showing that MglA has GTPase activity. Immunofluorescence microscopy of fixed cells from liquid showed that MglA was associated with helical track similar to the MreB spiral that spanned the length of the cell. The distribution pattern of MglA depended on the type of surface from which cells were harvested. In cells gliding on 1.5% (w/v) agar, the helical pattern gave way to punctate clusters of MglA-Yfp at the poles and along the long axis (lateral clusters). The lateral clusters emerged near the leading pole as the cell advanced coincident with a decrease in the intensity of the MglA-Yfp cluster at the leading pole. Newly formed lateral clusters remained fixed with regard to the substratum as the cell moved forward, similar to focal adhesion complexes described for AglZ, a protein partner of MglA. Lateral clusters did not form in cells gliding in methylcellulose, a polymer that stimulates S-motility at low cell density; rather MglA-Yfp was diffuse in the cytoplasm and more concentrated at the poles. The results suggest that conditions that favor S-motility prevent the formation of lateral clusters of MglA, which are associated with A-motility functions.

Dynamic-energy-budget-driven fruiting-body formation in myxobacteria

We develop an interacting particle model to simulate the life cycle of myxobacteria, which consists of two main stages--the swarming stage and the development (fruiting body formation) stage. As experiments have shown that the phase transition from swarming to development stage is triggered by starvation, we incorporate into the simulation a system of ordinary differential equations (ODEs) called the dynamic energy budget, which controls the uptake and use of energy by individuals. This inclusion successfully automates the phase transition in our simulation. Only one parameter, namely, the food density, controls the entire simulation of the life cycle.

Exploration into the spatial and temporal mechanisms of bacterial polarity

The recognition of bacterial asymmetry is not new: the first high-resolution microscopy studies revealed that bacteria come in a multitude of shapes and sometimes carry asymmetrically localized external structures such as flagella on the cell surface. Even so, the idea that bacteria could have an inherent overall polarity, which affects not only their outer appearance but also many of their vital processes, has only recently been appreciated. In this review, we focus on recent advances in our understanding of the molecular mechanisms underlying the establishment of polarized functions and cell polarity in bacteria.

Gliding motility and polarized slime secretion

Myxococcus leaves a trail of slime on agar as it moves. A filament of slime can be seen attached to the end of a cell, but it is seen only at one end at any particular moment. To identify genes essential for A motility, transposon insertion mutations with defective A motility were studied. Fifteen of the 33 mutants had totally lost A motility. All these mutant cells had filaments of slime emerging from both ends, indicating that bipolar secretion prevents A motility. The remaining 18 A motility mutants, also produced by gene knockout, secreted slime only from one pole, but they swarmed at a lower rate than A(+) and are called 'partial' gliding mutants, or pgl. For each pgl mutant, the reduction in swarm expansion rate was directly proportional to the reduction in the coefficient of elasticotaxis. The pgl mutants have a normal reversal frequency and normal gliding speed when they move. But their probability of movement per unit time is lower than pgl(+) cells. Many of the pgl mutants are produced by transposon insertions in glycosyltransferase genes. It is proposed that these glycosyltransferases carry out the synthesis of a repeat unit polysaccharide that constitutes the slime.

A microbial genetic journey

Fortunately, I began research in 1950 when the basic concepts of microbial genetics could be explored experimentally. I began with bacteriophage lambda and tried to establish the colinearity of its linkage map with its DNA molecule. My students and I worked out the regulation of lambda repressor synthesis for the establishment and maintenance of lysogeny. We also investigated the proteins responsible for assembly of the phage head. Using cell extracts, we discovered how to package DNA inside the head in vitro. Around 1972, I began to use molecular genetics to understand the developmental biology of Myxococcus xanthus. In particular, I wanted to learn how myxococcus builds its multicellular fruiting body within which it differentiates spores. We identified two cell-to-cell signals used to coordinate development. We have elucidated, in part, the signal transduction pathway for C-signal that directs the morphogenesis of a fruiting body.

Gliding motility: anticipating the next move with a molecular clock

FrzS protein is important for normal social motility in myxobacteria, which includes periodic reversals in the direction of cell motion. Recent results show that cell reversal correlates with the migration of FrzS from the old leading pole of the cell to the new leading pole.

A three-dimensional model of myxobacterial fruiting-body formation

Myxobacterial cells are social; they swarm by gliding on surfaces as they feed cooperatively. When they sense starvation, tens of thousands of cells change their movement pattern from outward spreading to inward concentration and form aggregates that become fruiting bodies. Cells inside fruiting bodies differentiate into round, nonmotile, environmentally resistant spores. Traditionally, cell aggregation has been considered to imply chemotaxis, a long-range cell interaction that shares many features of chemical reaction-diffusion dynamics. The biological evidence, however, suggests that Myxococcus xanthus aggregation is the consequence of direct cell-contact interactions that are different from chemotaxis. To test whether local interactions suffice to explain the formation of fruiting bodies and the differentiation of spores within them, we have simulated the process. In this article, we present a unified 3D model that reproduces in one continuous simulation all the stages of fruiting-body formation that have been experimentally observed: nonsymmetric initial aggregates (traffic jams), streams, formation of toroidal aggregates, hemispherical 3D mounds, and finally sporulation within the fruiting body.

The selective value of bacterial shape

Why do bacteria have shape? Is morphology valuable or just a trivial secondary characteristic? Why should bacteria have one shape instead of another? Three broad considerations suggest that bacterial shapes are not accidental but are biologically important: cells adopt uniform morphologies from among a wide variety of possibilities, some cells modify their shape as conditions demand, and morphology can be tracked through evolutionary lineages. All of these imply that shape is a selectable feature that aids survival. The aim of this review is to spell out the physical, environmental, and biological forces that favor different bacterial morphologies and which, therefore, contribute to natural selection. Specifically, cell shape is driven by eight general considerations: nutrient access, cell division and segregation, attachment to surfaces, passive dispersal, active motility, polar differentiation, the need to escape predators, and the advantages of cellular differentiation. Bacteria respond to these forces by performing a type of calculus, integrating over a number of environmental and behavioral factors to produce a size and shape that are optimal for the circumstances in which they live. Just as we are beginning to answer how bacteria create their shapes, it seems reasonable and essential that we expand our efforts to understand why they do so.

Distinguishing features of delta-proteobacterial genomes

We analyzed several features of five currently available delta-proteobacterial genomes, including two aerobic bacteria exhibiting predatory behavior and three anaerobic sulfate-reducing bacteria. The delta genomes are distinguished from other bacteria by several properties: (i) The delta genomes contain two "giant" S1 ribosomal protein genes in contrast to all other bacterial types, which encode a single or no S1; (ii) in most delta-proteobacterial genomes the major ribosomal protein (RP) gene cluster is near the replication terminus whereas most bacterial genomes place the major RP cluster near the origin of replication; (iii) the delta genomes possess the rare combination of discriminating asparaginyl and glutaminyl tRNA synthetase (AARS) together with the amido-transferase complex (Gat CAB) genes that modify Asp-tRNA(Asn) into Asn-tRNA(Asn) and Glu-tRNA(Gln) into Gln-tRNA(Gln); (iv) the TonB receptors and ferric siderophore receptors that facilitate uptake and removal of complex metals are common among delta genomes; (v) the anaerobic delta genomes encode multiple copies of the anaerobic detoxification protein rubrerythrin that can neutralize hydrogen peroxide; and (vi) sigma(54) activators play a more important role in the delta genomes than in other bacteria. delta genomes have a plethora of enhancer binding proteins that respond to environmental and intracellular cues, often as part of two-component systems; (vii) delta genomes encode multiple copies of metallo-beta-lactamase enzymes; (viii) a host of secretion proteins emphasizing SecA, SecB, and SecY may be especially useful in the predatory activities of Myxococcus xanthus; (ix) delta proteobacteria drive many multiprotein machines in their periplasms and outer membrane, including chaperone-feeding machines, jets for slime secretion, and type IV pili. Bdellovibrio replicates in the periplasm of prey cells. The sulfate-reducing delta proteobacteria metabolize hydrogen and generate a proton gradient by electron transport. The predicted highly expressed genes from delta genomes reflect their different ecologies, metabolic strategies, and adaptations.

Polar assembly of the type IV pilus secretin in Myxococcus xanthus

The type IV pilus filament of Myxococcus xanthus penetrates the outer membrane through a gated channel--the PilQ secretin. Assembly of the channel and formation of PilQ multimeric complexes that resist disassembly in heated detergent is correlated with the release of a 50 kDa fragment of PilQ. Tgl lipoprotein is required for PilQ assembly in M. xanthus, because PilQ monomers but no heat and detergent-resistant complexes are present in a strain from which tgl has been deleted. PilQ protein is often found in single patches at both poles of the cell. Tgl, however, is found in a patch at only one pole that most likely identifies the piliated cell pole. Tgl protein that has been transferred from another cell by contact stimulation leads to secretin assembly in the recipient. Pilus proteins PilQ, PilG, PilM, PilN, PilO and PilP are also required for the donation of Tgl by contact stimulation to a stimulation recipient. We suggest that these proteins are parts of a polar superstructure that holds PilQ monomers in a cluster and ready for Tgl to bring about secretin assembly.

Accordion waves in Myxococcus xanthus

Myxococcus xanthus are Gram-negative bacteria that glide on solid surfaces, periodically reversing their direction of movement. When starved, M. xanthus cells organize their movements into waves of cell density that sweep over the colony surface. These waves are unique: Although they appear to interpenetrate, they actually reflect off one another when they collide, so that each wave crest oscillates back and forth with no net displacement. Because the waves reflect the coordinated back and forth oscillations of the individual bacteria, we call them "accordion" waves. The spatial oscillations of individuals are a manifestation of an internal biochemical oscillator, probably involving the Frz chemosensory system. These internal "clocks," each of which is quite variable, are synchronized by collisions between individual cells using a contact-mediated signal-transduction system. The result of collision signaling is that the collective spatial behavior is much less variable than the individual oscillators. In this work, we present experimental observations in which individual cells marked with GFP can be followed in groups of unlabeled cells in monolayer cultures. These data, together with an agent-based computational model demonstrate that the only properties required to explain the ripple patterns are an asymmetric biochemical limit cycle that controls direction reversals and asymmetric contact-induced signaling between cells: Head-to-head signaling is stronger than head-to-tail signaling. Together, the experimental and computational data provide new insights into how populations of interacting oscillators can synchronize and organize spatially to produce morphogenetic patterns that may have parallels in higher organisms.

Cell-to-Cell Transfer of Bacterial Outer Membrane Lipoproteins

Myxococcus xanthus cells can glide forward by retracting type IV pili. Tgl, an outer membrane lipoprotein, is necessary to assemble pili. Tgl mutants can be transiently "stimulated" if brought into end-to-end contact with tgl+ donor cells. By separating the stimulated recipient cells from donor cells, we found that Tgl protein was transferred from the donors to the rescued recipient cells. Mutants lacking CglB lipoprotein, which is part of a second gliding engine, could also be stimulated, and CglB protein was transferred from donor to recipient cells. The high transfer efficiency of Tgl and CglB proteins suggests that donor and recipient cells briefly fuse their outer membranes.