Characterization of bacteria by multiparameter flow cytometry.

An arc-lamp based flow cytometer was used to obtain high resolution measurements of the light scattering characteristics and DNA contents of eight different bacteria. Light scatter profiles of bacteria are a useful first step when flow cytometry is used to characterize organisms. Scanning and transmission electron microscopy of the bacterial samples demonstrate that the structural basis of the light scattering profiles is not always clear, i.e. some organisms appear to have anomalous light scattering characteristics. The use of a third measurement parameter, DNA content, allowed much better discrimination of the organisms. Flow cytometry shows great promise as a method for the rapid discrimination and identification of bacterial populations.     

Rapid DNA fingerprinting of pathogens by flow cytometry

BACKGROUND: A new method for rapid discrimination among bacterial strains based on DNA fragment sizing by flow cytometry is presented. This revolutionary approach combines the reproducibility and reliability of restriction fragment length polymorphism (RFLP) analysis with the speed and sensitivity of flow cytometry. METHODS: Bacterial genomic DNA was isolated and digested with a rare-cutting restriction endonuclease. The resulting fragments were stained stoichiometrically with PicoGreen dye and introduced into an ultrasensitive flow cytometer. A histogram of burst sizes from the restriction fragments (linearly related to fragment length in base pairs) resulted in a DNA fingerprint that was used to distinguish among different bacterial strains. RESULTS: Five different strains of gram-negative Escherichia coli and six different strains of gram-positive Staphylococcus aureus were distinguished by analyzing their restriction fragments with DNA fragment sizing by flow cytometry. Fragment distribution analyses of extracted DNA were approximately 100 times faster and approximately 200,000 times more sensitive than pulsed-field gel electrophoresis (PFGE). When sample preparation time is included, the total DNA fragment analysis time was approximately 8 h by flow cytometry and approximately 24 h by PFGE. CONCLUSIONS: DNA fragment sizing by flow cytometry is a fast and reliable technique that can be applied to the discrimination among species and strains of human pathogens. Unlike some polymerase chain reaction (PCR)-based methods, sequence information about the bacterial strains is not required, allowing the detection of unknown, newly emerged, or unanticipated strains.     

Bacterial viability and antibiotic susceptibility testing with SYTOX green nucleic acid stain.

A fluorescent nucleic acid stain that does not penetrate living cells was used to assess the integrity of the plasma membranes of bacteria. SYTOX Green nucleic acid stain is an unsymmetrical cyanine dye with three positive charges that is completely excluded from live eukaryotic and prokaryotic cells. Binding of SYTOX Green stain to nucleic acids resulted in a > 500-fold enhancement in fluorescence emission (absorption and emission maxima at 502 and 523 nm, respectively), rendering bacteria with compromised plasma membranes brightly green fluorescent. SYTOX Green stain is readily excited by the 488-nm line of the argon ion laser. The fluorescence signal from membrane-compromised bacteria labeled with SYTOX Green stain was typically > 10-fold brighter than that from intact organisms. Bacterial suspensions labeled with SYTOX Green stain emitted green fluorescence in proportion to the fraction of permeabilized cells in the population, which was quantified by microscopy, fluorometry, or flow cytometry. Flow cytometric and fluorometric approaches were used to quantify the effect of beta-lactam antibiotics on the cell membrane integrity of Escherichia coli. Detection and discrimination of live and permeabilized cells labeled with SYTOX Green stain by flow cytometry were markedly improved over those by propidium iodide-based tests. These studies showed that bacterial labeling with SYTOX Green stain is an effective alternative to conventional methods for measuring bacterial viability and antibiotic susceptibility.     

Using light scatter signal to estimate bacterial biovolume by flow cytometry.

BACKGROUND: In the past decade, flow cytometry has become a useful and precise alternative to microscopic bacterial cell counts in aquatic samples. However, little evidence of its usefulness for the evaluation of bacterial biovolumes has emerged in from the literature. METHODS: The light scattering and cell volume of starved bacterial strains and natural bacterial communities from the Black Sea were measured by flow cytometry and epifluorescence microscopy, respectively, in order to establish a relationship between light scattering and cell volume. RESULTS: With the arc-lamp flow cytometer, forward angle light scatter (FALS) was related to cell size in both the starved strains and natural communities, although regression parameters differed. We tested the predictive capacity of the FALS verous cell size relationship in a bacterial community from the North Sea. That analysis showed that a reliable bacterial biovolume prediction of a natural bacterial community can be obtained from FALS using a model generated from natural bacterial community data. CONCLUSIONS: Bacterial biovolume is likely to be related to FALS measurements. It is possible to establish a generally applicable model derived from natural bacterial assemblages for flow cytometric estimation of bacterial biovolumes by light scatter.     

Flow cytometric discrimination between Acinetobacter calcoaceticus 69-V and Alcaligenes eutrophus JMP134 by fluorescently labelled rRNA-targeted oligonucleotide probes and DNA staining

In situ hybridization with fluorescently monolabelled rRNA-targeted oligonucleotide probes (17 to 18 nucleotides) was used to discriminate between Alcaligenes eutrophus JMP 134 and Acinetobacter calcoaceticus 69-V by flow cytometry. The strains were grown in batch experiments in a mixed population. The forward light scatter and fluorescence of each bacterial cell were measured with a single laser cytometer. The intensity of fluorescence after rRNA staining depended on the content of ribosomes, which correlated with the growth rate of bacteria. Therefore exponentially growing cells could be clearly detected. For other growth phases, signal amplification was necessary using multiple probes. The two bacterial strains were identified with differently labelled probes under an epifluorescent microscope. Using a single laser cytometer, rRNA based identification was possible nut not ideal. Better discrimination between the two strains of the mixed population was achieved by DNA staining, combined with the different forward light scatter signals. Due to the significantly different cellular DNA and GC content of both strains, the fluorescent dye DAPI (4′, 6-diamidino-2-phenylindole), preferring AT-rich regions of DNA, was found to be a supplementary tool for population analysis. The abundance ratios of the two strains in mixed culture determined by DNA or rRNA staining were similar.     

Flow cytometry: illuminating microbiology

By means of flow cytometry, a technique whereby a hydrodynamically directed stream of cells is passed through a focus of exciting light, one can measure cell size and the macromolecular content of individual bacteria. The sensitivity and versatility of the flow cytometer make it a powerful tool in studies of the bacterial cell cycle, in identifying and characterizing bacterial infections, and in selecting bacteria of desired qualities. We review some of these applications of flow cytometry and conclude that this method holds great promise in many other areas of microbiology.     

Glass micromodel study of bacterial dispersion in spatially periodic porous networks

Successful implementation of bioremediation clean-up strategies depends on accurate predictions of the transport of bacteria within the subsurface. In this study, etched flat-plate glass micromodels were used to examine bacterial transport in a homogenous network. These networks were created by acid-etching interconnected channels into a glass plate and then fusing it to an unetched plate forming semi-cylindrical pores. The transparent nature of the micromodel allows for both qualitative observations of the bacteria within the pores and quantitative measurements of their concentration. The micromodels are designed to allow establishment of a well-characterized step change in bacterial concentration (Escherichia coli NR50) within the network. During the experiments, bacteria are dispersed through the network by flow. Light scattering is used to detect the change in turbidity within the pores as the bacteria travel through the network. The change in turbidity is used to construct breakthrough curves and spatial concentration profiles of bacteria within the network. The breakthrough curves are fit to the one-dimensional advection/dispersion equation to determine dispersion coefficients at different interstitial fluid velocities. From the breakthrough curves, dispersion coefficients were reproducible for replicate experiments over a range of velocities in the advection-dominated regime. The dispersivity values for two network designs resembling an interconnecting capillary network and a spatially periodic network of cylinders were 0.28 and 0.33 cm respectively, which are slightly greater than the literature values found for other pore networks. Experiments were also conducted within the diffusion-dominated regime to examine the effects of bacterial motility on dispersion. The accumulation of bacteria on the pore walls became significant at the low flow rates and extended experimental times thereby rendering the use of light scattering to determine concentrations ineffective. Bacterial chemotaxis, created by a self-imposed oxygen gradient, was also observed in the micromodel under stagnant fluid conditions.     

Quantitative, longitudinal profiling of the primate fecal microbiota reveals idiosyncratic, dynamic communities

We used slot blot hybridization, quantitative polymerase chain reaction (qPCR), and flow cytometry microarrays to quantify specific 16S rDNAs in weekly fecal specimens from four monkeys housed in a research vivarium for periods ranging from five to 8 months. Even in these uniformly housed and fed animals the gut microbiota is idiosyncratic, very dynamic on short timescales, and shows significant positive and negative correlations among some bacteria as well as responses to heavy metal exposure. The relative quantification (fmol targets per total fmol bacterial 16S rDNA) afforded by flow cytometry microarrays agreed well with the absolute quantification (nanogram of target DNA per nanogram of fecal DNA) afforded by slot blots and qPCR. We also noted strengths and weaknesses in inter-method comparisons for DNA-based quantification of these complex bacterial communities.     

Uptake and killing of Listeria monocytogenes by normal human peripheral blood granulocytes and monocytes as measured by flow cytometry and cell sorting

Cellular components of innate immunity (NK cells, monocytes and granulocytes) play an important role in early resistance to Listeria monocytogenes in the mouse model. Minimally invasive methods of measuring the bacteriocidal capacity of these cells may be useful as a biomarker of susceptibility in humans. A technique was developed whereby the uptake and survival of L. monocytogenes could be measured in human granulocytes and monocytes using small volumes of peripheral blood. This method used flow cytometry to detect the presence of PKH-2-labeled bacteria within these cells. Survival of bacteria was determined by sorting of infected cells based on a combination of fluorescence and light scattering properties. Considerable variation in bacterial recovery was seen between normal volunteers. There was consistently greater survival of a fully virulent strain of L. monocytogenes within monocytes and granulocytes compared with an isogenic strain lacking the hemolysin, listeriolysin O, when measured at baseline. There was no evidence of longer-term bacterial survival or growth at 2 or 24 h. This technique may be useful for assessment of both host resistance and pathogen virulence.     

Identification of microbes from the surfaces of food-processing lines based on the flow cytometric evaluation of cellular metabolic activity combined with cell sorting

In this study the design of a flow cytometry-based procedure to facilitate the detection of adherent bacteria from food-processing surfaces was evaluated. The measurement of the cellular redox potential (CRP) of microbial cells was combined with cell sorting for the identification of microorganisms. The procedure enhanced live/dead cell discrimination owing to the measurement of the cell physiology. The microbial contamination of the surface of a stainless steel conveyor used to process button mushrooms was evaluated in three independent experiments. The flow cytometry procedure provided a step towards monitoring of contamination and enabled the assessment of microbial food safety hazards by the discrimination of active, mid-active and non-active bacterial sub-populations based on determination of their cellular vitality and subsequently single cell sorting to isolate microbial strains from discriminated sub-populations. There was a significant correlation (r = 0.97; p < 0.05) between the bacterial cell count estimated by the pour plate method and flow cytometry, despite there being differences in the absolute number of cells detected. The combined approach of flow cytometric CRP measurement and cell sorting allowed an in situ analysis of microbial cell vitality and the identification of species from defined sub-populations, although the identified microbes were limited to culturable cells.     

Enrichment of slow-growing marine microorganisms from mixed cultures using gel microdrop (GMD) growth assay and fluorescence-activated cell sorting

Encapsulation of cells in agarose gel microdrops (GMDs) combined with fluorescence-activated cell sorting (FACS) has been used previously to analyze and recover specific mammalian, bacterial, and yeast cell populations. Recently, we have developed a method to enrich mixed bacterial populations for slow-growing microorganisms using the GMD Growth Assay combined with fluorochrome staining and flow cytometry. Here, we demonstrate the feasibility of using this experimental approach to detect clonogenic growth of individual bacteria within GMDs in less than 3 h and to separate subpopulations based on differential growth rates. We show that after sorting, organisms remain viable and can be propagated in culture for further analysis.     

Survival of subsurface microorganisms exposed to UV radiation and hydrogen peroxide.

Aerobic and microaerophilic subsurface bacteria were screened for resistance to UV light. Contrary to the hypothesis that subsurface bacteria should be sensitive to UV light, the organisms studied exhibited resistance levels as efficient as those of surface bacteria. A total of 31% of the aerobic subsurface isolates were UV resistant, compared with 26% of the surface soil bacteria that were tested. Several aerobic, gram-positive, pigmented, subsurface isolates exhibited greater resistance to UV light than all of the reference bacterial strains tested except Deinococcus radiodurans. None of the microaerophilic, gram-negative, nonpigmented, subsurface isolates were UV resistant; however, these isolates exhibited levels of sensitivity similar to those of the gram-negative reference bacteria Escherichia coli B and Pseudomonas fluorescens. Photoreactivation activity was detected in three subsurface isolates, and strain UV3 exhibited a more efficient mechanism than E. coli B. The peroxide resistance of four subsurface isolates was also examined. The aerobic subsurface bacteria resistant to UV light tolerated higher levels of H2O2 than the microaerophilic organisms. The conservation of DNA repair pathways in subsurface microorganisms may be important in maintaining DNA integrity and in protecting the organisms against chemical insults, such as oxygen radicals, during periods of slow growth.     

利用细胞计数手段和DGGE技术分析松花江干流部分地区的细菌种群多样性

松花江是我国东北地区的重要河流之一,为加强对其水环境微生物状况的了解,对松花江干流部分地区的微生物数量和多样性进行了分析。应用传统平板培养法和流式细胞技术测定水样中的细菌数;直接提取样品中的总DNA,以巢式PCR(Polymerase Chain Reaction)扩增细菌16SrDNA片段,应用聚丙烯酰胺凝胶电泳(Denaturing Gradient Gel Electrophoresis,DGGE)技术对扩增片段进行分离,研究水样和底泥样品细菌的种群多样性。实验结果显示,pH值为影响水环境中微生物总细胞数量的主要因素。水样中细菌群落多样性主要根据上下游分区,分区点在哈尔滨段附近,而底泥中细菌群落多样性的影响因素呈多样化,没有显示出较为明确的分区特征。     

Flow cytometry: instrumentation and application in phytoplankton research

In flow cytometry, light scattering and fluorescence of individual particles in suspension is measured at high speed. When applied to planktonic particles, the light scattering and (auto-)fluorescence properties of algal cells can be used for cell identification and counting. Analysis of the wide size spectrum of phytoplankton species, generally present in eutrophic inland and coastal waters, requires flow cytometers specially designed for this purpose. This paper compares the performance in phytoplankton research of a commercial flow cytometer to a purpose built instrument. It reports on the identification of phytoplankton and indicates an area where flow cytometry may supersede more conventional techniques: the analysis of morphological and physiological characteristics of subpopulations in phytoplankton samples.     

结合流式细胞仪检测技术的菌体原位PCR扩增

建立一套原位PCR检测方法 ,联合流式细胞仪作为检测工具 ,作为基因水平转移研究中的基因监控手段。通过常规PCR反应以确定靶基因的基本扩增参数 ;细菌菌体经过多聚甲醛PBS液固定和溶菌酶处理后进行原位PCR扩增 ,产物洗涤后迅速用流式细胞仪进行荧光检测 ,并辅以荧光显微镜镜检。扩增样品在荧光显微镜的蓝光激发下发出明亮的黄绿色荧光 ,与空白对照中的无扩增菌体的自发荧光可明显区分。流式细胞仪检测结果也显示 ,阴性菌与阳性菌的荧光强度有明显区别。完成了对目标细菌的原位PCR扩增 ,并成功地应用流式细胞仪对原位PCR扩增菌体实施了检测。由此表明isPCR 流式细胞仪检测技术在细菌致病基因原位监控上的应用前景     

Dead cell discrimination with 7-amino-actinomycin D in combination with dual color immunofluorescence in single laser flow cytometry.

Identification of nonviable cells in immunofluorescently stained cell populations is essential for obtaining accurate data. Fluorescent non-vital DNA dyes, particularly propidium iodide (PI), have been used routinely in flow cytometry for discrimination of dead cells from viable cells on the basis of fluorescence. We describe here the use of an alternative DNA dye, 7-amino-actinomycin D (7-AAD), which can replace PI for the exclusion of nonviable cells. As an example, we present in this paper the utilization of 7-AAD on various leukemic cell lines for dead cell exclusion whenever the viable cell population could not be discriminated reliably from nonviable cells on the light scatter histogram; 7-AAD is suitable for dead cell discrimination in lengthy experiments because it is efficiently excluded by intact cells and has a high DNA binding constant. In addition, the dye is valuable in combination with phycoerythrin (PE)-fluorescence dual-color flow cytometry on a single argon laser instrument, since its emission in the far red can easily be separated from the emission of PE; 7-AAD was used on fluoresceinisothiocyanate (FITC) and PE surface-labeled human thymocytes for characterization of the dying subpopulation of cells which is undergoing programmed cell death. In this heterogeneous cell preparation, the spectral properties of the dye permitted the classification of viable and nonviable cell subpopulations by multiparameter analysis.     

Comparison of flow cytometry and epifluorescence microscopy for counting bacteria in aquatic ecosystems.

Flow cytometry was used to count bacterial cells from diverse origins: one strain of E. coli, one sample of lake water, and 18 samples of estuary water. To verify the accuracy and the precision of this technique, total bacteria counts made by flow cytometry were compared with counts by direct observation using epifluorescence microscopy. The results of this study showed that flow cytometry was a reliable technique for counting a mixture of bacteria in samples from aquatic ecosystems.     

Structure and primase-mediated activation of a bacterial dodecameric replicative helicase

Replicative helicases are essential ATPases that unwind DNA to initiate chromosomal replication. While bacterial replicative DnaB helicases are hexameric, Helicobacter pylori DnaB (HpDnaB) was found to form double hexamers, similar to some archaeal and eukaryotic replicative helicases. Here we present a structural and functional analysis of HpDnaB protein during primosome formation. The crystal structure of the HpDnaB at 6.7 Å resolution reveals a dodecameric organization consisting of two hexamers assembled via their N-terminal rings in a stack-twisted mode. Using fluorescence anisotropy we show that HpDnaB dodecamer interacts with single-stranded DNA in the presence of ATP but has a low DNA unwinding activity. Multi-angle light scattering and small angle X-ray scattering demonstrate that interaction with the DnaG primase helicase-binding domain dissociates the helicase dodecamer into single ringed primosomes. Functional assays on the proteins and associated complexes indicate that these single ringed primosomes are the most active form of the helicase for ATP hydrolysis, DNA binding and unwinding. These findings shed light onto an activation mechanism of HpDnaB by the primase that might be relevant in other bacteria and possibly other organisms exploiting dodecameric helicases for DNA replication.     

Increased light scattering resolution facilitates multidimensional flow cytometric analysis

Multidimensional flow cytometry identifies cell populations as clusters in a space created by the analysis of multiple parameters simultaneously. Optimal use of this multidimensional space requires each of the individual parameters to provide additional information for cell population discrimination as well as maximum utilization of the dynamic range available for each parameter. In this study we improve the visualization of the information present in light scattering signals from leukocytes to facilitate multidimensional flow cytometric analysis. Optimization of cell preparation techniques are essential to obtain high resolution light scattering signals that give complete separation of the granulocytes, monocytes, and granular and nongranular lymphocytes. The angle at which the forward scattered light was collected was modified to enhance the separation between leukocyte populations. Although orthogonal light scattering signals separate granular and nongranular lymphocytes, the resolution and dynamic range could not be displayed using linear or logarithmic functions. By applying a polynomial function to the orthogonal light scattering signals, all leukocyte populations could be displayed while maintaining high resolution. The combination of high resolution light scattering with a nonlinear display resulted in an equally spaced distribution of the cell populations distinguished by correlating forward and orthogonal light scattering signals. Using this approach, peripheral blood neutrophils, eosinophils, basophils, monocytes, and granular and nongranular lymphocytes were shown to occupy distinct locations in the correlation of orthogonal and forward light scattering. Surprisingly, the basophilic granulocytes were located close to granular lymphocytes and monocytes rather than near neutrophils and eosinophils.