Use of fluorescence ratio imaging microscopy and flow cytometry for estimation of cell vitality for Bacillus licheniformis

The use of fluorescent techniques in combination with flow cytometry for fast counting of Bifidobacterium longum ATCC BAA-2753 in BIFICO capsule

BIFICO is a main microecological drug that the main ingredient is Bifidobacterium longum ATCC BAA-2753. It's necessary to detect the number of Bifidobacterium longum ATCC BAA-2753 for quality control during the production of BIFICO. Plate count assay (PCA) is the most commonly used method for counting microbial cells. However, not all microorganisms can be counted by PCA. (e.g. uncultured microorganisms under specific growth conditions). In this study, a method of fluorescent techniques in combination with flow cytometry (FCM) was established for the counting of Bifidobacterium longum BAA-2753. Using SYTO9 and PI stain, flow cytometric analysis could easily differentiate live bacteria and dead bacteria. The number of live bacteria determined by FCM was about fourfold higher than that counted by PCA. Therefore, the FCM method could be a practical tool for the quality control of Bifidobacterium longum BAA-2753 in the industrial production of BIFICO.

The use of a simple flow cytometry method for rapid detection of spores in probiotic Bacillus licheniformis-containing tablets

Detection of the number of vegetative cells and endospores is necessary for quality control during the production of orally administered probiotic Bacillus licheniformis-containing tablets (BCT). However, there is no standard method for the rapid detection of vegetative cells and endospores in China. In this study, a simple flow cytometry (FCM) method was used to monitor the population dynamics of BCT. Using a specific fluorescent stain, SYBR green I, flow cytometric analysis could easily differentiate two morphological states of B. licheniformis. Compared with plate count assay (PCA) for determining the number of vegetative cells and endospores, the percentage of endospores determined by FCM was ~10% higher than that by PCA. Advantages of the FCM method over conventional methods include lower labor work, shorter detection time, and higher accuracy. Therefore, this simple FCM method could be a practical tool for monitoring quality control during the production of probiotic BCT.

Novel and neglected issues of acetone-butanol-ethanol (ABE) fermentation by clostridia: Clostridium metabolic diversity, tools for process mapping and continuous fermentation systems

This review emphasises the fact that studies of acetone-butanol-ethanol (ABE) fermentation by solventogenic clostridia cannot be limited to research on the strain Clostridium acetobutylicum ATCC 824. Various 1-butanol producing species of the genus Clostridium, which differ in their patterns of product formation and abilities to ferment particular carbohydrates or glycerol, are described. Special attention is devoted to species and strains that do not produce acetone naturally and to the utilisation of lactose, inulin, glycerol and mixtures of pentose and hexose carbohydrates. Furthermore, process-mapping tools based on different principles, including flow cytometry, DNA microarray analysis, mass spectrometry, Raman microscopy, FT-IR spectroscopy and anisotropy of electrical polarisability, which might facilitate fermentation control and a deeper understanding of ABE fermentation, are introduced. At present, the methods with the greatest potential are flow cytometry and transcriptome analysis. Flow cytometry can be used to visualise and capture cells within clostridial populations as they progress through the normal cell cycle, in which symmetric and asymmetric cell division phases alternate. Cell viability of a population of Clostridium pasteurianum NRRL B-598 was determined by flow cytometry. Transcriptome analysis has been used in various studies including the detection of genes expressed in solventogenic phase, at sporulation, in the stress response, to compare expression patterns of different strains or parent and mutant strains, for studies of catabolite repression, and for the detection of genes involved in the transport and metabolism of 11 different carbohydrates. Interestingly, the results of transcriptome analysis also challenge our earlier understanding of the role of the Spo0A regulator in initiation of solventogenesis in C. acetobutylicum ATCC 824. Lastly, the review describes other significant recent discoveries, including the deleterious effects of intracellular formic acid accumulation in C. acetobutylicum DSM 1731 cells on the metabolic switch from acidogenesis to solventogenesis and the development of a high-cell density continuous system using Clostridium saccharoperbutylacetonicum N1-4, in which 1-butanol productivity of 7.99 g/L/h was reached.

Relationship between growth and pH gradients of individual cells of Debaryomyces hansenii as influenced by NaCl and solid substrate

AIMS

To examine the relationship between the growth and pH gradients of Debaryomyces hansenii at a single-cell level.

METHODS AND RESULTS

Using bioimaging techniques, the cell areas and early pH gradients (Delta pH(10)), i.e. the pH gradients determined 10 min after initiation of experiments, were determined for single cells of two D. hansenii strains in fluid and on solid (agar) substrate with and without 8% (w/v) NaCl. The combination of NaCl and solid substrate prolonged the growth initiation of both D. hansenii strains additively. In all our experiments, primarily two groups of cells existed; a vital group consisting of growing single cells with intact early pH gradients, and a group of dead cells without early pH gradients.

CONCLUSIONS

Our results show that growth initiation of the D. hansenii cells is severely affected by NaCl and to a lesser extent by the type of substrate in an additive and strain dependent way. Moreover, the early pH gradient of a vital D. hansenii cell cannot be correlated with the rate of its subsequent growth.

SIGNIFICANCE AND IMPACT OF THE STUDY

Our study reveals new knowledge on the growth and pH gradients of D. hansenii on solid surfaces in the presence of NaCl.

Two subpopulations of Listeria monocytogenes occur at subinhibitory concentrations of leucocin 4010 and nisin

In situ analyses of single Listeria monocytogenes cells at subinhibitory concentrations of leucocin 4010 and nisin revealed two subpopulations when measured by fluorescence ratio imaging microscopy (FRIM) after staining with 5(6)-carboxyfluorescein diacetate succinimidyl ester. One subpopulation consisted of cells with a dissipated pH gradient (DeltapH), and the other consisted of cells that maintained DeltapH. The proportion of cells belonging to each subpopulation was estimated, and the concentrations of bacteriocins required to dissipate DeltapH for 90% of the cell population (ED90) was predicted. ED90 increased after the addition of sodium chloride (1 to 3% [wt/vol]) to the bacteriocin solutions, while ED90 decreased by the addition of sodium nitrite (60 and 100 ppm). Other meat additives, including sodium phosphate, sodium lactate, sodium citrate, and sodium acetate slightly increased ED90. The inhibitory effect of sodium chloride on the antilisterial activity of leucocin 4010 and nisin was confirmed on the surfaces of meat sausages. This study highlights the important practical implications of applying subinhibitory concentrations of bacteriocins, which results in unaffected target cells. In situ analyses by FRIM in combination with modeling of single-cell data can be applied to ensure that sufficient concentrations of bacteriocins are used in food preservation.

Influence of stress on individual lag time distributions of Listeria monocytogenes

The effects of nine common food industry stresses on the times to the turbidity (T(d)) distribution of Listeria monocytogenes were determined. It was established that the main source of the variability of T(d) for stressed cells was the variability of individual lag times. The distributions of T(d) revealed that there was a noticeable difference in response to the stresses encountered by the L. monocytogenes cells. The applied stresses led to significant changes of the shape, the mean, and the variance of the distributions. The variance of T(d) of wells inoculated with single cells issued from a culture in the exponential growth phase was multiplied by at least 6 and up to 355 for wells inoculated with stressed cells. These results suggest stress-induced variability may be important in determining the reliability of predictive microbiological models.

Global transcription profiles and intracellular pH regulation measured in Bacillus licheniformis upon external pH upshifts

For optimization of propagation conditions for an industrially used Bacillus licheniformis, this study examines the effect of transferring cells at the early-stationary growth phase (pH 5.3) to fresh growth medium at pH 5.0-8.0. Intracellular pH (pH(i)) was measured on a single-cell level, using fluorescence ratio imaging microscopy after staining with 5(6)-carboxyfluorescein diacetate succinimidyl ester. Transcription profiles were determined using a genome DNA microarray. The optimum extracellular pH (pH(ex)) value for growth of B. licheniformis was found to be pH 7.0, resulting in the shortest lag phase, highest maximum specific growth rate and maximum biomass formation. An average pH gradient (Delta pH = pH(i) - pH(ex)) of approx. 1.0 was found in B. licheniformis 15 min after transfer to pH(ex) 5.0-8.0. Up-regulation of genes involved in sucrose uptake at pH 7.0 could be related to the optimum growth observed. Transcription profiles indicated that the organism was experiencing phosphate starvation upon transfer to pH 7.0 and pH 8.0. Mechanisms involved in pH(i) regulation appeared to include changes in fatty acid synthesis to yield a more rigid cell membrane structure at low pH(ex) values and conversion of pyruvate to acetoin instead of acetate for neutralization of low pH(ex) values.