Duncan Veal

A Flow Cytometry Method for Rapid Detection and Enumeration of Total Bacteria in Milk

ABSTRACT Application of flow cytometry (FCM) to microbial analysis of milk is hampered by the presence of milk proteins and lipid particles. Here we report on the development of a rapid (≤1-h) FCM assay based on enzymatic clearing of milk to determine total bacteria in milk. When bacteria were added to ultra-heat-treated milk, a good correlation (r ≥ 0.98) between the FCM assay and the more conventional methods of plating and direct microscopic counting was achieved. Raw milk data showed a significant correlation (P < 0.01) and a good agreement (r = 0.91) between FCM and standard plate count methods. The detection limit of the FCM assay was ≤104 bacteria ml of milk−1. This limit is below the level of detection required to satisfy legislation in many countries and states.

Fluorescence staining and flow cytometry for monitoring microbial cells

Large numbers of microbiological samples are analysed annually using traditional culture-based techniques. These techniques take hours to days to yield a result, are tedious and are not suitable for non-culturable microorganisms. Further, culture-based techniques do not provide real-time information on the physiological status of the organism in situ which is important in the industrial manufacture of many microbial products. Flow cytometry offers the prospect of real-time microbial analysis of individual microorganisms, without dependency on microbial culture. However, flow cytometry has not been extensively used as a tool for routine microbial analysis. This has been mainly due to the high cost and complexity of instrumentation, the need for trained flow cytometrists and the lack of assay kits with appropriate biological reagents for specific applications. Many modern instruments are now relatively simple to operate, due to improvements in the user-interface, and no longer need a specialist operator. However, most cytometers are still reliant on analogue technology first developed 20-30 years ago. The incorporation of modern, solid state opto-electronics combined with micro-fabrication and digital signal processing technology offers the prospect of simple to use, low cost and robust instruments suitable for microbial analyses. Advances are being made in the development of a range of biological reagents and these are now being formulated into simple to use kits for microbiological applications. Currently, these kits are largely restricted to simple analyses, for example to assay for total or viable numbers of microorganisms present. However, technologies are available to selectively label specific types of microorganisms. For example, fluorescent antibodies can be used to label microorganisms according to expression of particular antigens, fluorescent in situ hybridisation to label according to phylogeny and fluorogenic enzymatic substrates to label according to expression of specific enzyme activities. Reagents are also available that stain viruses sufficiently brightly to enable their direct detection in environments such as sea water. Microorganisms need to be detected in a variety of different matrices (e.g., water, mud, food, and beverages) and these matrices may be highly variable in nature (e.g., tap water compared to river water). Many matrices have high background autofluorescence (e.g., algae and minerals in water samples) or may bind non-specifically to the fluorescent biological reagents used (e.g., protein micelles in milk). Formulation of biological reagents and sample pre-treatments are critical to the development of suitable microbiological assays. Here, developments in instrumentation and biological reagents for microbiological applications are reviewed with specific examples from environmental or industrial microbiology. The broader considerations for the development of microbial assays for flow cytometry are also considered.

Flow Cytometry and Cell Sorting for Yeast Viability Assessment and Cell Selection

Yeast suspensions were analysed by flow cytometry after dye staining for determination of total and viable cell densities. Results were comparable to traditional colony counting and, in addition, provided further information on the percentage of total cells that were viable. The flow cytometric methods provided results within 20 min whereas colony counts were not available until 36 h. We evaluated a number of fluorescent dyes: ChemChrome Y (CY), oxonol (Ox), propidium iodide (PI), Fungolight and rhodamine 123, for accurate determination of viability of industrial yeast cultures and freshly re‐hydrated high activity dried yeast (HADY). PI, Ox and CY gave the most conclusive live/dead discrimination and were the simplest to use. Culturing after dye staining and cell sorting demonstrated that the yeast remained viable after cell sorting and incubation with PI, CY or Ox. The methods, therefore, permit physical selection of individual yeast cells from populations of mixed viability. Sorting demonstrated that PI stained non‐culturable cells whilst CY stained culturable cells. Analysis of yeast stained simultaneously with CY and PI or with Ox and PI demonstrated that PI and CY assays were in mutual agreement with respect to viability assessments. The Ox assay was in agreement with CY and PI for live/heat‐killed mixtures. However, for re‐hydrated HADY, Ox stained a significantly (P⩽0·05) higher proportion of cells than did PI.

The use of a ribosomal RNA targeted oligonucleotide probe for fluorescent labelling of viable Cryptosporidium parvum oocysts

A fluorescence in situ hybridization (FISH) technique has been developed for the fluorescent labelling of Cryptosporidium parvum oocysts in water samples. The FISH technique employs a fluorescently labelled oligonucleotide probe (Cry1 probe) targeting a specific sequence in the 18S ribosomal RNA (rRNA) of C. parvum. Hybridization with the Cry1 probe resulted in fluorescence of sporozoites within oocysts that were capable of excystation, while oocysts that were dead prior to fixation did not fluoresce. Correlation of the FISH method with viability as measured by in vitro excystation was statistically highly significant, with a calculated correlation coefficient of 0·998. Examination of sequence data for Cryptosporidium spp. other than C. parvum suggests that the Cry1 probe is C. parvum‐specific. In addition, 19 isolates of C.parvum were tested, and all fluoresced after hybridization with the Cry1 probe. Conversely, isolates of C.baileyi and C. muris were tested and found not to fluoresce after hybridization with the Cry1 probe. The fluorescence of FISH‐stained oocysts was not bright enough to enable detection of oocysts in environmental water concentrates containing autofluorescent algae and mineral particles. However, in combination with immunofluorescence staining, FISH enabled species‐specific detection and viability determination of C. parvum oocysts in water samples.

PCR amplification of crude microbial DNA extracted from soil

A rapid, inexpensive, large‐scale DNA extraction method involving minimal purification hasbeen developed that is applicable to various soil types. DNA was extracted from 100 g of soilusing direct lysis with glass beads and sodium dodecyl sulphate (SDS) followed by polyethyleneglycol precipitation, potassium acetate precipitation, phenol extraction and isopropanolprecipitation. The crude extract could be used in PCR directed at high‐copy number (bacterialsmall subunit rRNA) and single‐copy (fungal β‐tubulin) genes.

Isolation from an Ant Myrmecia gulosa of Two Inducible O-Glycosylated Proline-rich Antibacterial Peptides

Reported here is the isolation and characterization of two antibacterial peptides synthesized in an antMyrmecia gulosa in response to bacterial challenge. The peptides were purified by reversed-phase high performance liquid chromatography and characterized by peptide sequencing and mass spectrometry. Both peptides were formed from 16 amino acids, were rich in proline (∼30%), and had N-acetylgalactosamineO-linked to a conserved threonine. The activity of a synthetic non-glycosylated isoform was markedly reduced demonstrating that glycosylation was necessary for maximum activity. The peptides were active only against growing Escherichia coli. They were inactive against stationary cells, Gram-positive bacteria, the yeast Candida albicans, two species of mammalian cells, and bovine pestivirus.

Potential for broad applications of flow cytometry and fluorescence techniques in microbiological and somatic cell analyses of milk.

Monitoring the quality and safety of milk requires careful analysis of microbial and somatic cell loading. Our aim was to demonstrate proof of the principle that flow cytometry (FCM), coupled with fluorescence techniques for distinguishing between cell types, could potentially be employed in a wide variety of biological assays relevant to the dairy industry. To this end, we studied raw milk samples and ultraheat-treated milk, into which known numbers of bacteria or mouse cells were inoculated. For bacterial analyses, protein and lipids were removed, whereas only centrifugal lipid clearing was needed for somatic cell analyses. Cleared samples were stained with fluorescent dyes or with bacterial-specific fluorescent-labeled oligonucleotides and analyzed by FCM. A fluoresceinated peptide nucleic acid probe enabled efficient enumeration of bacteria in milk. Dual staining of samples with fluorescent dyes that indicate live (5-cyanol-2,3-ditolyl tetrazolium chloride, CTC or SYTO 9) or damaged cells (oxonol or propidium iodide, PI) enabled determination of viable bacteria in milk. Gram-positive and -negative bacteria were distinguished using hexidium iodide and SYTO 13 in dual staining of cleared milk samples. An FCM-based method gave a good correlation (r=0.88) with total microscopic counts of somatic cells in raw milk. The FCM method also correlated strongly (r=0.98) with the standard Fossomatic method for somatic cell detection. We conclude that FCM, coupled with fluorescence staining techniques, offers potentially diverse and rapid approaches to biological safety and quality testing in the dairy industry. Potential application of flow cytometers to a broad range of assays for milk biological quality should make this instrumentation more attractive and cost effective to the dairy industry and indeed the broader food industry.

Detection of Oxytetracycline Production by Streptomyces rimosus in Soil Microcosms by Combining Whole-Cell Biosensors and Flow Cytometry

ABSTRACT Combining the high specificity of bacterial biosensors and the resolution power of fluorescence-activated cell sorting (FACS) provided qualitative detection of oxytetracycline production byStreptomyces rimosus in soil microcosms. A plasmid containing a transcriptional fusion between thetetR-regulated Ptet promoter from Tn10 and a FACS-optimized gfp gene was constructed. When harbored by Escherichia coli, this plasmid produces large amounts of green fluorescent protein (GFP) in the presence of tetracycline. This tetracycline biosensor was used to detect the production of oxytetracycline by S. rimosusintroduced into sterile soil. The tetracycline-induced GFP-producing biosensors were detected by FACS analysis, enabling the detection of oxytetracycline encounters by single biosensor cells. This approach can be used to study interactions between antibiotic producers and their target organisms in soil.

Inducible Gene Expression by Nonculturable Bacteria in Milk after Pasteurization

ABSTRACT The viability of bacteria in milk after heat treatments was assessed by using three different viability indicators: (i) CFU on plate count agar, (ii) de novo expression of a gfp reporter gene, and (iii) membrane integrity based on propidium iodide exclusion. In commercially available pasteurized milk, direct viable counts, based on dye exclusion, were significantly (P < 0.05) higher than viable cell counts determined from CFU, suggesting that a significant subpopulation of cells in pasteurized milk are viable but nonculturable. Heating milk at 63.5°C for 30 min resulted in a >4-log-unit reduction in the number of CFU of Escherichia coli and Pseudomonas putida that were marked with lac-inducible gfp. However, the reduction in the number of gfp-expressing cells of both organisms under the same conditions was <2.5 log units. These results demonstrate that a substantial portion of cells rendered incapable of forming colonies by heat treatment are metabolically active and are able to transcribe and translate genes de novo.

Heterogeneity of stress gene expression and stress resistance among individual cells of Saccharomyces cerevisiae

Knowledge of gene expression and cellular responses in microorganisms is derived from analyses of populations consisting of millions of cells. Analytical techniques that provide data as population averages fail to inform of culture heterogeneity. Flow cytometry and fluorescence techniques were used to provide information on the heterogeneity of stress‐responsive gene expression and stress tolerance in individual cells within populations. A sequence of DNA encoding the heat shock and stress response elements of the Saccharomyces cerevisiae HSP104 gene was used to express enhanced green fluorescent protein (EGFP). When integrated into the genome of yeast strain W303‐1A, intrinsic expression of EGFP increased about twofold as cells progressed from growth on glucose to ethanol utilization in aerobic batch cultures. Staining of cells with orange/red fluorescent propidium iodide (PI), which only enters cells that have compromised membrane integrity, revealed that the population became more tolerant to 52°C heat stress as it progressed from growth on glucose and through the ethanol utilization phase of aerobic batch culture. Exposure of cultures growing on glucose to a mild heat shock (shift from 25°C to 37°C) resulted in significantly increased expression of EGFP in the population. However, there was heterogeneity in the intensity of fluorescence of individual cells from heat‐shocked cultures, indicating variability in the strength of stress response in the clonal population. Detailed analysis of the heterogeneity showed a clear positive trend between intensity of stress response and individual cell resistance, measured in terms of PI exclusion, to heat stress at 52°C. Further experiments indicated that, although the mean gene expression by a population is influenced by the genetic background, the heterogeneity among individual cells in clonal populations is largely physiologically based.