The suitability of a membrane diffusion growth chamber for studying bacterial interaction

Rates of diffusion of nutrients and metabolites through 0.1 µm pore diameter polycarbonate membranes are so low that the use of membrane-separated systems to study bacterial interaction seems to have little application. Effective nutrient availability throughout the system is very dependent on membrane area/medium volume ratio. An attempt to demonstrate a known interaction in the membrane diffusion chamber was not successful.     

Mathematical models and simulations of bacterial growth and chemotaxis in a diffusion gradient chamber

The diffusion gradient chamber (DGC) is a novel device developed to study the response of chemotactic bacteria to combinations of nutrients and attractants [7]. Its purpose is to characterize genetic variants that occur in many biological experiments. In this paper, a mathematical model which describes the spatial distribution of a bacterial population within the DGC is developed. Mathematical analysis of the model concerning positivity and boundedness of the solutions are given. An ADI (Alternating Direction Implicit) method is constructed for finding numerical solutions of the model and carrying out computer simulations. The numerical results of the model successfully reproduced the patterns that were observed in the experiments using the DGC. Received: 3 June 1997 / Revised version: 15 August 2000 / Published online: 20 December 2000     

A diffusion gradient chamber for studying microbial behavior and separating microorganisms

The natural habitats of most microbes are dynamic and include spatial gradients of growth substrates, electron acceptors, pH, salts, and inhibitory compounds. To mimic this diffusive aspect of nature, we developed an analytical diffusion gradient chamber (DGC) that can be used to separate, enrich for, isolate, and study the behavior of microorganisms. The chamber is a polycarbonate box containing an arena (5 by 5 by 2 cm) into which is cast a semisolid growth medium. Continuously replenished solute reservoirs positioned on each side of the arena but separated from it by a porous membrane enable the formation throughout the gel of multiple, intersecting gradients of solutes in two dimensions. With glucose as the solute, a gradient which spanned a 100-fold range in concentration was established across the arena in about 4 days. The shape of the glucose gradient was accurately predicted by a mathematical model based on Fickian diffusion. The growth and migratory behavior of Escherichia coli in response to imposed gradients of attractants (aspartate, alpha-methyl aspartate, and serine) and a repellent (valine) were examined. Cells responded in predictable ways to such gradients by forming distinctive growth and migration patterns in the DGC. This was true for wild-type E. coli as well as specific chemotaxis and motility mutants. The patterns yielded information about the threshold concentration of chemoeffectors needed to elicit a response as well as their saturating concentration. It was also evident that the metabolism of attractants significantly affected the gradients and, hence, the movement of cells. Finally, it was possible to separate E. coli and Pseudomonas fluorescens in the DGC on the basis of their differential responses to gradients of various chemoeffectors.     

High-pressure-temperature bioreactor for studying pressure-temperature relationships in bacterial growth and productivity

Thermophilic organisms offer many potential advantages for biotechnological processes; however, realization of the promise of thermophiles will require extensive research on bacterial thermophily and high-temperature cultivation systems. This article describes a novel bioreactor suitable for precise studies of microbial growth and productivity at temperatures up to 260 degrees C and pressures up to 350 bar. The apparatus is versatile and corrosion resistant, and enables direct sampling of both liquids and gases from a transparent culture vessel without altering the reaction conditions. Gas recirculation through the culture can be controlled through the action of a magnetically driven pump. Initial studies in this bioreactor of Methanococcus jannaschii, an extremely thermophilic methanogen isolated from a deep-sea hydrothermal vent, revealed that increasing the pressure from 7.8 to 100 bar accelerated the production of methane and cellular protein by this archaebacterium at 90 degrees C, and raised the maximum temperature allowing growth from 90 to 92 degrees C. Further increases in pressure had little effect on the growth rate at 90 degrees C.     

Development of a bacterial model for studying anthracycline-membrane interactions

Abstract Growth of wild-type Escherichia coli strain MRE600 was severely affected up to 9 h following treatment with the anthracycline doxorubicin (15 μM), however, after 9 h, the cells became resistant. The onset of resistance coincided with some changes in the relative proportions of total saturated, monounsaturated and cyclopropane fatty acids. The anionic lipid content in E. coli strain HDL11 is under lac control and synthesis can be induced by incubation with the lac inducer IPTG. HDL11, with low levels of anionic phospholipid, was unaffected by doxorubicin (100 μM) over 9 h, with only slight inhibition of growth seen over 24 h. When the anionic lipid content of HDL11 was increased, there was a slight increase in the efficacy of doxorubicin, providing evidence for a membrane-based step in doxorubicin action.     

A large, efficient and inexpensive bacterial growth chamber

The construction of a 200 liter bacterial growth chamber for a total cost of less than $400 is described. The chamber was designed for growth of aerobic organisms and therefore provides high rates of aeration and mixing. The growth of Escherichia coli K₁₂ in the chamber was similar to growth in small flasks on a rotary shaker. Azotobacter vinelandii OP growth is slower in the growth chamber than in small, shaken flasks. Under the growth conditions described, kilogram quantities of bacterial cells are obtained from a single culture.     

How to quantify protein diffusion in the bacterial membrane

Lateral diffusion of proteins in the plane of a biological membrane is important for many vital processes, including energy conversion, signaling, chemotaxis, cell division, protein insertion, and secretion. In bacteria, all these functions are located in a single membrane. Therefore, quantitative measurements of protein diffusion in bacterial membranes can provide insight into many important processes. Diffusion of membrane proteins in eukaryotes has been studied in detail using various experimental techniques, including fluorescence correlation spectroscopy (FCS), fluorescence recovery after photobleaching (FRAP), and particle tracking using single-molecule fluorescence (SMF) microscopy. In case of bacteria, such experiments are intrinsically difficult due to the small size of the cells. Here, we review these experimental approaches to quantify diffusion in general and their strengths and weaknesses when applied to bacteria. In addition, we propose a method to extract multiple diffusion coefficients from trajectories obtained from SMF data, using cumulative probability distributions (CPDs). We demonstrate the power of this approach by quantifying the heterogeneous diffusion of the bacterial membrane protein TatA, which forms a pore for the translocation of folded proteins. Using computer simulations, we study the effect of cell dimensions and membrane curvature on measured CPDs. We find that at least two mobile populations with distinct diffusion coefficients (of 7 and 169 nm(2) ms(-1) , respectively) are necessary to explain the experimental data. The approach described here should be widely applicable for the quantification of membrane-protein diffusion in living bacteria.     

The interaction of the antimicrobial peptide cLEAP-2 and the bacterial membrane

Chicken Liver Expressed Antimicrobial Peptide-2 (cLEAP-2) is known to have killing activities against Salmonella spp., but the mechanism by which killing occurs remains to be elucidated. The ability of cLEAP-2 to disrupt the outer membrane of several Salmonella spp. was assessed using the fluorescent probe N-phenyl-1-naphthylamine (NPN). A rapid dose-dependent permeabilization of the outer membranes of Salmonella enterica serovar Typhimurium phoP, and S. enterica serovar Typhimurium SL1344 was observed although no significant permeabilisation of the S. enteriditis membrane was detected. These data suggested that the ability of the mature cLEAP-2 peptide to permeabilise the Salmonella outer membrane is important in mediating its killing activities. The ability of the peptide to kill Gram-positive bacteria, specifically Streptococcus spp. and Staphylococcus spp. was also investigated using recombinant peptide and a time-kill assay. Of the strains analysed the Streptococcus pyogenes M1 strain appeared the most resistant to LEAP-2 killing although S. pyogenes mutants deficient in Sortase and M1 activities showed increased sensitivity to the mature peptide. This suggested the involvement of specific Streptococcus cell wall proteins including M1 in the resistance of the bacteria to cLEAP-2 killing. cLEAP-2 showed no significant toxicity towards mammalian erythrocytes indicating selectivity for bacterial over eukaryote cell membranes. These data provide further support for mature cLEAP-2 functioning in protecting the chicken against microbial attack.     

Techniques for studying membrane pores

Pore-forming proteins (PFPs) are of special interest because of the association of their activity with the disruption of the membrane impermeability barrier and cell death. They generally convert from a monomeric, soluble form into transmembrane oligomers that induce the opening of membrane pores. The study of pore formation in membranes with molecular detail remains a challenging endeavor because of its highly dynamic and complex nature, usually involving diverse oligomeric structures with different functionalities. Here we discuss current methods applied for the structural and functional characterization of PFPs at the individual vesicle and cell level. We highlight how the development of high-resolution and single-molecule imaging techniques allows the analysis of the structural organization of protein oligomers and pore entities in lipid membranes.     

Non-electrolyte permeability as a tool for studying membrane fluidity

1. The reflection coefficient for the permeation of thiourea through bilayers of phosphatidylcholine is a function of the fatty-acid composition of the lipid molecules. By means of these reflection coefficients an index for membrane fluidity has been given to each of those lipids, relative to that of egg phosphatidylcholine. 2. The maximum number of water molecules that can copermeate with each molecule of solute by means of solute-solvent interaction is a function of the packing of the lipid molecules in the bilayer. This parameter has been used in this paper for characterizing the fluidity of cholesterol-containing membranes and for membranes with their lipids in the gel state.     

The single file model for the diffusion of ions through a membrane

The model proposed by A. L. Hodgkin and R. D. Keynes (Jour. of Physiol.,128, 61–88, 1955) for the diffusion of potassium through the nerve membrane is extended to cover an arbitrary number of species of ions with charges not necessarily the same. One type of interference is also investigated.     

Modeling microbial chemotaxis in a diffusion gradient chamber

The diffusion gradient chamber (DGC) has proven to be a useful experimental tool for studying population-level microbial growth and chemotaxis. A mathematical model capable of reproducing the population-level patterns formed as a result of cellular growth and chemotaxis in the DGC has been developed. The model consists of coupled partial differential balance equations for cells, chemoattractants, and a nutrient, which are solved simultaneously by the alternating direction implicit method. Modeling simulation results were compared with population-level migration patterns of Escherichia coli growing on glycerol and responding to a gradient of the chemoattractant aspartate for two different initial conditions. To accurately reproduce the experimental results, a second chemoattractant equation was necessary. The second chemoattractant has been identified as oxygen by directly measuring oxygen gradients in the DGC. Important trends observed experimentally and reproduced by the model include the formation of a chemotactic wave, a reduction in the wave velocity as it encounters higher chemoattractant concentrations, and chemotaxis in response to two different chemoattractants simultaneously. The model was also used to study the relative magnitude of cell fluxes due to random motility and chemotaxis, and the suppression of chemotaxis due to receptor saturation. (c) 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 55: 191-205, 1997.     

Measurement of bacterial random motility and chemotaxis coefficients: I. Stopped-flow diffusion chamber assay

Bacterial chemotaxis, the directed movement of a cell population in response to a chemical gradient, plays a critical role in the distribution and dynamic interaction of bacterial populations in nonmixed systems. Therefore, in order to make reliable predictions about the migratory behavior of bacteria within the environment, a quantitative characterization of the chemotactic response in terms of intrinsic cell properties is needed.The design of the stopped-flow diffusion chamber (SFDC) provides a well-characterized chemical gradient and reliable method for measuring bacterial migration behavior. During flow through the chamber, a step change in chemical concentration is imposed on a uniform suspension of bacteria. Once flow is stopped, diffusion causes a transient chemical gradient to develop, and bacteria respond by forming a band of high cell density which travels toward higher concentrations of the attractant. Changes in bacterial spatial distributions observed through light scattering are recorded on photomicrographs during a 10-min period. Computer-aided image analysis converts absorbance of the photographic negatives to a digital representation of bacterial density profiles. A mathematical model (part II) is used to quantitatively characterize these observations in terms of intrinsic cell parameters: a chemotactic sensitivity coefficient, mu(0), from the aggregate cell density accumulated in the band and a random motility coefficient, mu, from population dispersion in the absence of a chemical gradient.Using the SFDC assay and an individual-cell-based mathematical model, we successfully determined values for both of these population parameters for Escherichia coli K12 responding to fucose. The values obtained were mu = 1.1 +/- 0. 4 x 10(-5) cm(2)/s and chi(o) = 8 +/- 3 +/- 10(-5) cm(2)/s. We have demonstrated a method capable of determining these parameter values from the now validated mathematical model which will be useful for predicting bacterial migration in application systems.     

Use of numerical profiles for studying bacterial diversity

A total of 308 bacteria were isolated from oil-storage tanks. Of these 20% were unidentifiable, even at the generic level. A numerical scoring method differentiated between the isolates and was used to estimate the diversity of the bacterial communities in the tanks over a period of 11 months. Although the scoring method suggested a higher diversity than did conventional identification, there was some consistency in the results produced by the two approaches. It is suggested that a scoring method based on only nine tests could be useful for estimating and comparing bacterial diversity in other habitats.