Skip to main content
Applied and Environmental Microbiology logoLink to Applied and Environmental Microbiology
. 2004 Aug;70(8):4432–4439. doi: 10.1128/AEM.70.8.4432-4439.2004

Culture-Independent Analysis of Fecal Enterobacteria in Environmental Samples by Single-Cell mRNA Profiling

Han Chen 1,, Gomathinayagam Ponniah 1,, Nancy Salonen 1, Paul Blum 1,*
PMCID: PMC492453  PMID: 15294770

Abstract

A culture-independent method called mRNA profiling has been developed for the analysis of fecal enterobacteria and their physiological status in environmental samples. This taxon-specific approach determines the single-cell content of selected gene transcripts whose abundance is either directly or inversely proportional to growth state. Fluorescence in situ hybridization using fluorochrome-labeled oligonucleotide probes was used to measure the cellular concentration of fis and dps mRNA. Relative levels of these transcripts provided a measure of cell growth state and the ability to enumerate fecal enterobacterial cell number. Orthologs were cloned by inverse PCR from several major enterobacterial genera, and probes specific for fecal enterobacteria were designed using multiple DNA sequence alignments. Probe specificity was determined experimentally using pure and mixed cultures of the major enterobacterial genera as well as secondary treated wastewater samples seeded with pure culture inocula. Analysis of the fecal enterobacterial community resident in unseeded secondary treated wastewater detected fluctuations in transcript abundance that were commensurate with incubation time and nutrient availability and demonstrated the utility of the method using environmental samples. mRNA profiling provides a new strategy to improve wastewater disinfection efficiency by accelerating water quality analysis.


Fecal enterobacteria inhabit the human gastrointestinal tract and exhibit key biochemical properties distinguishing them from other members of the Enterobacteriaceae. Members of the genus Escherichia, typically Escherichia coli, are the major representatives of fecal enterobacteria. Efficacious disinfection and release of secondary treated municipal wastewater relies on culture-based methods that depend on the use of selective enrichment conditions to quantitate fecal enterobacterial content. Due to the volume of treated water and the time required to conduct standard tests, water release can precede the outcome of test results and treatment interventions must be applied retroactively. Despite this limitation, temporal averaging of test results enables domestic wastewater treatment plants to meet regulatory requirements. Direct assessment of fecal bacterial content in wastewater by culture-independent methods would reduce the time required to assess water quality and enable mechanistic studies to be conducted on wastewater disinfection.

Fluorescent in situ hybridization (FISH) with rRNA-targeted oligonucleotide probes is a powerful tool for cultivation-independent analysis of the structure and dynamics of complex microbial communities (14). While extremely useful for taxonomic identification, rRNA-based techniques rarely provide information about the in situ behavior of bacteria within their respective ecosystems. Since cellular rRNA content ranges only severalfold over the extremes of bacterial growth rate, its utility for physiologic investigation is inherently limited (14, 17, 19). In addition, nongrowing stationary-phase bacterial cells in environmental samples can be difficult or impossible to detect using 16S rRNA probes because cellular rRNA content can become depleted and fall below the limit of detection (2, 19, 20). The application of techniques that allow in situ visualization of other targets such as mRNAs whose abundance varies in response to environmental perturbation and that reach levels sufficient for detection could overcome this limitation and permit studies on in situ physiological activities. While this has been recognized as a desirable goal, the low concentration and short half-life of most bacterial mRNAs contribute to the paucity of reports on the in situ detection of mRNA (7, 27). Methods developed to overcome these problems include hybridization with digoxigenin-labeled synthetic antisense transcripts (7, 27), in situ PCR (8), and in situ reverse transcription PCR (26); however, these methods have not seen widespread acceptance because they are relatively complicated to perform, particularly with environmental samples (24).

Growth state-regulated proteins and their transcripts provide an alternative target for the investigation of bacterial physiologic status in situ. Fis and Dps have been used previously for studies on enterobacteria (18, 23). Fis is an 11-kDa DNA binding protein (9, 10) that plays a critical role in coordinating rRNA synthesis with growth (15). Levels of Fis correlate directly with growth rate (3, 4). Dps is a 19-kDa DNA binding protein that is important in stationary-phase stress physiology (1, 11). Dps abundance is inversely correlated with growth rate and it ranges over 100-fold in cellular concentration between the extremes of stationary phase and rapid growth (16, 22). The occurrence, phylogenetic conservation, and regulation of synthesis of both of these proteins among the major enterobacterial genera have been described previously (23).

Recent efforts using a method called protein profiling (23) investigated several relationships between enterobacterial community physiology and wastewater processing at the single-cell level (18). The intracellular concentrations of the growth-related protein Fis and the stationary-phase protein Dps were analyzed by epifluorescence microscopy in uncultivated cells by the use of enterobacterial group-specific polyclonal fluorochrome-coupled antibodies. Enterobacterial single-cell community protein profiles were found to be distinct for different types of biological treatment. Trickling filter wastewater harbored enterobacterial communities containing levels of Fis that were elevated relative to those present in submerged aeration basin wastewater. Pure culture studies demonstrated that Fis/Dps ratios were directly proportional to disinfection efficiency, and culture-based disinfection measurements of replicate wastewater samples corroborated these findings. Together, these data demonstrated that wastewater processing can strongly influence disinfection efficiency by perturbing enterobacterial community physiology. A key drawback of the protein-profiling method, however, is the inability of the method to distinguish among individual enterobacterial taxa. Taxonomic differentiation is of particular importance in studies of wastewater enterobacterial communities in which the fecal enterobacterial subgroup is of most concern. To remedy this limitation, efforts to measure the levels of the fis and dps mRNAs in uncultivated single cells by the use of taxon-specific probes were undertaken.

MATERIALS AND METHODS

Bacterial strains and cultivation.

The E. coli K12 strains used were PBL500 strains, as described previously (21). Strains PBL931 (Δfis::Tn10) and PBL664 (Δdps) were constructed as described previously (23). PBL931 was a fis mutant strain constructed by homologous recombination by the use of a phage-encoded mutant allele of fis as described previously (23). Recombinants devoid of integrated phage were verified by PCR after successive cycles of purification of single colonies on Luria-Bertani (LB) agar plates containing 0.5% deoxycholic acid and then on LB agar plates containing tetracycline (25 μg/ml). Cell densities in the culture media and wastewater were monitored spectrophotometrically using a model 50 Cary spectrophotometer at a wavelength of 600 nm. The media used were LB (12), A1 (Difco), and Endo (BBL) agar. Most-probable numbers were determined as described previously (5). Additional bacterial strains used to examine the specificity of mRNA probing were subcultured from overnight cultures at a ratio of 1:100 in LB medium, and samples were removed thereafter for analysis.

Source and treatment of wastewater samples.

Wastewater samples were collected from a municipal treatment plant serving a population of 200,000. The wastewater in this facility is treated primarily with an activated-sludge process. Secondary treated wastewater samples were taken from the effluent of the final clarifiers. To examine fecal enterobacterial physiology following prolonged incubation or nutrient amendment, 1-liter volumes of secondary treated wastewater were shaken at 200 rpm and 25°C on a G-33 shaker (New Brunswick, Edison, N.J.). Nutrient supplementation was accomplished by the addition of tryptone (0.01% [wt/vol]). For mRNA profiling of wastewater samples, samples obtained from the wastewater treatment plant were treated immediately with paraformaldehyde and then transported to the laboratory. Grab samples for probe specificity reconstruction experiments consisted of 90-ml volumes collected in 125-ml sterilized bottles containing 10 ml of 40% (wt/vol) paraformaldehyde. A total of 108 E. coli cells in either exponential phase or stationary phase were added to these samples to achieve a ratio of wastewater cells to E. coli of 1:1. Culturable fecal enterobacterial content of these samples was 106 CFU/ml and was determined using replicate unfixed samples that were chilled and transported to the laboratory for analysis.

Isolation and characterization of fis and dps enterobacterial orthologs.

Enterobacterial genomic DNA was recovered using a DNeasy tissue kit (QIAGEN). The fis and dps genes were acquired by PCR using primer pair 5′-TATACCATGGTCGAACAACGCGTAAAT TCTGAC-3′ and 5′-TATACTCGAGGTTCATGCCGAATTTTTTCAAT-3′ for fis and primer pair 5′-TACCGCTAAATTAGTTAAATCAAAAGC-3′ and 5′-CGATGTTAGACTCGATAAACCACAGGA-3′ for dps. PCR employed a program of 95°C for 1 min, 55°C for 2 min, and 75°C for 3 min for 30 cycles and final extension at 75°C for 5 min. The PCR products were sequenced using a Beckman/Coulter CEQ2000XL eight-capillary DNA sequencer and dye-terminator chemistry.

Parts of Proteus vulgaris and Serratia marcescens dps genes were acquired by PCR using degenerate PCR primer pair 5′-CTIATIACIAARCAIGCICAYTGGAA-3′ and 5′-TCIATRAACAAIAGRAAYTTRTC-3′. In this case, PCR employed a program of 95°C for 1 min, 45°C for 1 min, and 75°C for 1 min for 50 cycles and final extension at 75°C for 5 min. Primers were used at 100 pmol/μl with 2.2 mM magnesium chloride. The degenerate PCR products were cloned into plasmid pCR4-TOPO by the use of a TOPO TA cloning kit (Invitrogen). Inserts were sequenced using phage M13 forward and reverse primers. Inverse PCR was used to obtain the remainder of the P. vulgaris and S. marcescens dps gene sequences. BamHI and BsrGI were used to digest P. vulgaris and S. marcescens genomic DNA, respectively, and digested genomic DNAs were ligated using phage T4 DNA ligase. The ligated genomic DNA was then used as a template for first-round PCR using primers 5′-TCACAGTGTACAAGATCATTT-3′ and 5′-AATAGCAACGCCTCCCAATTG-3′ for P. vulgaris and primers 5′-CCACAGCGTGCAAGAGCACCT-3′ and 5′-ATCGTTCACCACCTGTACGGT-3′ for S. marcescens. In this case PCR employed a program of 95°C for 1 min, 55°C for 1 min, and 72°C for 3 min for 30 cycles, with a final extension at 72°C for 10 min. First-round PCR products were purified using a PCR purification kit (QIAGEN). The purified PCR products were then used as templates for second-round PCR using primers 5′-GCGGTCGTCGCGAATGATATT-3′ and 5′-TAAGTGTTCAACTAGCGTGGT-3′ for P. vulgaris and primers 5′-CCGAAGTGGAAGACGAAGACA-3′ and 5′-AAGGTGTCCTGATGCTCGAT-3′ for S. marcescens.

Oligodeoxynucleotide probes.

Probes used in this study are shown in Table 1. The fis probes were purchased prelabeled with fluorescein (Invitrogen). The dps probe was purchased prelabeled with Cy3 (IDT). The 16S rRNA probe specific for members of the Enterobacteriaceae was 5′-CATGAATCACAAAGTGGTAAGCGCC-3′ (13) and was purchased prelabeled with Cascade Blue (Invitrogen).

TABLE 1.

Oligonucleotide probe sequences

Probe Sequence
fis1 5′-Fluo-GTTCTACTTCAGCCAGTACCAGCTC-3′a
fis2 5′-Fluo-TTACCTGATCCTGAGAGTTAACGGTAG-3′
fis3 5′-Fluo-CACGGTTGATGCCCATCATCAGCGCAG-3′
fis4 5′-Fluo-GTTCTTCAGTGCCTGTTTAACCGAGTC-3′
fis5 5′-Fluo-ATTCACATCCTGACCATTCAGTTGAGC-3′
dps 5′-Cy3-GCCATGGTATCCAGATGATCGAT-3′
ENT 5′-Cascade Blue-CATGAATCACAAAGTGGTAAGCGCC-3′
a

Fluo, fluorescein label.

Microscopy sample preparation and probing procedures.

Cell fixation and gelatin-subbed slide preparation were performed as described previously (23). Fixed cells were applied to 0.1% (wt/vol) gelatin-0.01% (wt/vol) CrK(SO4)2-treated slides, dried at 37°C, and then dehydrated by successive rinses in 50, 80, 98, and 100% ethanol for 3 min. Dried slides were then simultaneously treated with 50 pmol of fis (fis1 to fis5), dps, and ENT probes, respectively, suspended in 20 μl of 0.9 M NaCl-50 mM Na2HPO4 (pH 7.0)-0.1% (wt/vol) sodium dodecyl sulfate-0.5 mg of yeast tRNA/ml-10× Denhardt's solution, and incubated for 2 h in a humidified chamber at 46°C in the dark. Unless otherwise indicated, formamide was used in hybridization buffers at 20% (vol/vol). Slides were washed in 0.9 M NaCl-50 mM Na2HPO4 (pH 7.0)-0.1% (wt/vol) sodium dodecyl sulfate for 20 min at 46°C in water for 10 min at room temperature and then dried at 37°C in the dark. Fluorescent bleaching was minimized using a ProLong kit (Molecular Probe). Slides were sealed by treatment with nail polish and maintained in the dark until examined. Probe specificity was also examined using hybridization buffers containing a range of formamide concentrations (10 to 50% [vol/vol]).

Probe specificity.

Probe specificity was assessed initially using pure cultures of individual enterobacterial genera. Subsequent analysis of specificity employed mixed samples of pure cultures containing E. coli combined at a ratio of 1:1 with a mixture of equal parts of species of six major enterobacterial genera: Salmonella, Klebsiella, Enterobacter, Citrobacter, Serratia, and Proteus. Probe specificity using secondary treated wastewater was assessed by seeding wastewater with the same mixture of enterobacterial genera. Seeded cells were prepared using exponential-phase or stationary-phase cultures as indicated in the text and were fixed with paraformaldehyde prior to use. Cells were counted from five fields of image for each sample and constituted a total of 500 cells. Approximately 100 cells were examined for each data point obtained from five fields of view for each sample prepared for microscopy. Data on the fecal enterobacterial growth state composition of secondary treated wastewater were analyzed statistically to estimate how representative each field of view was.

Micrograph analysis.

Measurements of fluorescent intensity were performed as described previously (18, 23). The levels of fluorescent emission from fluorescein-, Cy3-, and Cascade Blue-labeled oligodeoxynucleotide probes were detected using a Microphot epifluorescence microscope (AX70; Olympus Co.), a charge-coupled device camera (DE1-750 Optronic), and Olympus AX-RFSL2 filter sets for fluorescein, Cy3, and Cascade Blue. Images were captured using Optronic image capture software. Cells were counted, and fluorescence was quantitated using Image-1 image analysis software on a single-cell basis. mRNA levels were determined by measuring the fluorescent intensity of the corresponding fluorochrome-labeled oligodeoxynucleotide probes.

Phylogenetic analysis.

Phylogenetic distance analysis of fis or dps sequences from the major enterobacterial genera was performed using PHYLIP 3.37c software (6). Nearly full-length sequences including 297 nt for fis orthologs and 504 nt for dps orthologs were employed for sequence alignments. fis and dps were aligned using CLUSTAL W software (25) in Wisconsin package version 10.2 (Genetics Computer Group). Sequences from the following strains were used to construct the tree: E. coli K12 MG1655, Shigella flexneri 2a.str.301(ATCC 25875), Salmonella enterica serovar Typhimurium LT2, Klebsiella pneumoniae (ATCC33495), Enterobacter cloacae (ATCC 11439), Citrobacter freundii (ATCC 33128), P. vulgaris (ATCC13315), and S. marcescens (ATCC 13880). SEQBOOT was used to generate 100 bootstrapped data sets. Distance matrices were calculated with DNADIST using the default options. A total of 100 unrooted trees were inferred by neighbor-joining analysis of the distance matrix data by using NEIGHBOR software. Bias introduced by the order of sequence addition was minimized by randomizing the input order. The most-frequent branching order was determined with CONSENSE software.

Nucleotide sequence accession numbers.

All new sequences for enterobacterial fis and dps genes have been deposited in GenBank, and accession numbers are indicated in Table 2.

TABLE 2.

Sequence mismatches between oligonucleotide probes and E. coli fis and dps

Species and ATCC strain name fis accession no. No. of sequence mismatches with fis probe
dps accession no. No. of sequence mismatches with dps probe dps1
fis1 fis2 fis3 fis4 fis5
E. coli K12 MG1655 gb AE000405.1 0 0 0 0 0 gb AE000405.1 0
S. flexneri 25875 gb AY174074 0 0 0 0 0 NC_004337.1 0
S. enterica serovar Typhimurium 700720 gb AE008856.1 0 0 1 0 2 gb AE008856.1 2
K. pneumoniae gb AF040380.1 0 1 1 0 2 gb AY195736 3
E. cloacae 11439 gb AY174075 1 1 2 0 2 gb AY195735 7
C. freundii 33128 gb AY191361 0 1 1 0 3 gb AY191364 5
P. vulgaris 13315 gb AY191362 3 6 5 4 5 gb AY191365 10
S. marcescens 13880 gb AY191363 1 2 3 1 4 gb AY191366 5

RESULTS

Design, target specificity, and sensitivity of oligodeoxynucleotide probes.

The fis and dps gene probes were designed in an attempt to create molecules that would specifically target E. coli and its closest relatives. The DNA sequences of the fis and dps genes were obtained from public databases and by cloning and sequencing the genes from selected strains. In several cases, P. vulgaris and S. marcescens sequence information required cloning the genes by the use of a combination of PCR with degenerate primers and inverse PCR to obtain flanking sequences. Multiple sequence alignments were then prepared, and the regions that were the most distinct between E. coli and other enterobacterial genera were selected for probe design (Table 1). The potential mismatches between these regions and the probes for the various organisms are shown in Table 2.

The concentration of fis mRNA present in exponentially growing E. coli cells was below the limit of detection when using a single fis probe after normalization for nonspecific hybridization. Instead, five fis oligodeoxynucleotide probes, all similarly labeled, were required for quantitative detection of E. coli cells in exponential phase. Even combinations of three of the five probes were insufficient for cell detection. In contrast, dps mRNA in stationary-phase cells was present in greater abundance and could be detected using a single dps probe.

The target specificity of mRNA detection by FISH was examined initially using physiologic and genetic controls (Fig. 1). fis mRNA was evident only in exponentially growing cells with a wild-type allele of fis and not in stationary-phase cells or in exponentially growing cells with a disrupted allele of fis (Fig. 1A to F). Dps mRNA was evident only in stationary-phase cells with a wild-type allele of dps and not in exponentially growing cells or stationary-phase cells with a disrupted allele of dps (Fig. 1G to L).

FIG. 1.

FIG. 1.

Detection of fis and dps mRNA in E. coli by FISH. The results of detection of fis (A to F) and dps (G to L) are shown. (A to C) Fluorescent micrographs of cells probed with fluorescein-labeled oligonucleotide probes complementary to fis mRNA. Wild-type cells in early exponential phase (A), wild-type cells in stationary phase (B), and PBL931 cells (lacking fis) in exponential phase (C) are shown. (D to F) Bright-field images matching those shown in panels A to C. (G to L) Fluorescent micrographs of cells probed with a Cy3-labeled oligonucleotide probe complementary to dps mRNA. Wild-type cells in exponential phase (G), wild-type cells in stationary phase (H), and PBL646 cells (lacking dps) in stationary phase (I) are shown. (J to L) Bright-field images matching those shown in panels G to I.

The role of hybridization stringency was examined for fis probes, the dps probe, and a 16S rRNA probe specific for Enterobacteriaceae species called ENT (13). FISH was conducted on E. coli cells harvested from exponential-phase or stationary-phase cultures by the use of a range of formamide concentrations from 0 to 50% in 10% increments, and the amount of fluorescence was determined (Fig. 2). The levels of fluorescence were highest under the conditions in which the fis and dps genes are expressed; however, background (nonspecific) fluorescence was also apparent. To distinguish between specific and nonspecific fluorescence as a function of increasing hybridization stringency, fluorescence values were normalized for levels produced when the target transcript was largely absent. For both the fis and dps mRNA, the normalized values demonstrated that fluorescence emission was quenched as formamide concentrations increased. In contrast, fluorescence emission for the ENT probe (adjusted for growth state differences) was relatively insensitive to increasing formamide concentrations. Formamide concentrations ranging from 10 to 20% (vol/vol) depending on the sample and the extent of signal quenching were employed for subsequent experiments using the fis and dps probes.

FIG. 2.

FIG. 2.

Influence of hybridization stringency on fluorescence emission. E. coli cells in either exponential phase (closed circles) or stationary phase (open circles) were probed separately with the fis probes, the dps probe, or the 16S rRNA ENT probe. The differences in the levels of fluorescence between the two growth states are indicated (closed triangles). Fluorescence emission was examined at a range of formamide concentrations. (A) fis-probed cells; (B) dps-probed cells; (C) 16S rRNA ENT-probed cells.

Probes for fis, dps, and 16S rRNA could be used simultaneously to evaluate mRNA content and taxon identity (Fig. 3). E. coli cells from exponential-phase or stationary-phase cultures were probed with all the probes, and fluorescence was examined at selected wavelengths. No interference, bleeding, or quenching was apparent, indicating that the three fluorochromes constituted a suitable set for mRNA analysis.

FIG. 3.

FIG. 3.

Simultaneous probing of exponential- and stationary-phase E. coli with fis, dps, and 16S rRNA ENT probes. Fluorescent images of a single field of cells in exponential phase (A to D) or stationary phase (E to H) were captured and examined at three wavelengths and under bright-field illumination. (A and E) fis probes; (B and F) dps probe; (C and G) 16S rRNA ENT probe; (D and H) matching phase-contrast bright-field images.

mRNA profiling during a batch culture growth cycle.

The concentrations of Fis and Dps protein and fis mRNA are dynamic and have been shown by both Western and Northern blot analysis to change in accordance with alterations in growth state (1, 3, 4). The relationship between these trends and the pattern of fluorescence produced by single cells individually probed for fis and dps mRNA was therefore examined (Fig. 4). Fluorescence with the fis probes reached maximal levels near the midpoint of the exponential phase of growth. Thereafter fluorescence decreased, reaching undetectable levels at the onset of stationary phase. Fluorescence with the dps probe remained nearly undetectable during exponential growth but increased rapidly to reach peak values after the onset of stationary phase. At times thereafter, fluorescence with the dps probe decreased to about 50% of peak values and remained at this level for an additional 8 h in the stationary phase before declining further. Cells exhibiting simultaneous fluorescence with fis and dps probes were not apparent. For both the fis probes and the dps probe, the total variation in fluorescence ranged over a minimum of 10-fold at the extremes of growth state. The variation observed between individual cell levels at single time points was typically less than 15%. These findings parallel those from previous studies conducted at the single-cell level (23) and using bulk methods of analysis (3, 4, 16, 22, 23) and indicate that fluorescence is directly proportional to mRNA concentration.

FIG. 4.

FIG. 4.

Quantitation using FISH of fis and dps mRNA in E. coli during the growth cycle. Symbols: closed circles, cell density (A600); closed squares, relative fluorescence of dps; closed triangles, relative fluorescence of fis mRNA. Error bars indicate the variations in relative fluorescence emission observed between replicate samples.

Phylogenetic specificity of the mRNA probes.

To investigate the utility of the fis and dps probes for analysis of enterobacterial community samples, FISH studies were conducted, first using pure cultures of the major genera and subsequently using mixtures of pure cultures. K. pneumoniae, E. cloacae, C. freundii, P. vulgaris, S. enterica serovar Typhimurium, and S. marcescens cells were examined separately using fis probes and the dps probe (Table 3). Samples of Shigella were not included, as this organism encodes fis and dps orthologs with sequences identical to those of E. coli. Faint fluorescence was observed for S. enterica serovar Typhimurium in exponential phase but not in stationary phase. No fluorescence was observed for any other strains under either set of growth conditions. These results are consistent with the degree of complementarity between the oligonucleotide probe sequences and the taxon-specific fis and dps gene sequences (Table 2). Probe specificity was investigated further by determining the numbers of fluorescent cells in mixed samples of pure cultures containing E. coli combined at a ratio of 1:1 with a mixture of equal parts of the other major enterobacterial genera. The mean values for the number of fluorescent cells detected using either the fis probes (47.05 ± 8.54) or the dps probe (48.23 ± 9.85) agreed closely with the number of E. coli cells that had been added to the samples (data not shown).

TABLE 3.

Relative fluorescent intensities of cells probed with fis and dps probes

Species Fluorescent intensity in indicated phasea
Exponential
Stationary
fis dps fis dps
E. coli + +
S. enterica serovar Typhimurium ±
K. pneumoniae
E. cloacae
C. freundii
P. vulgaris
S. marcescens
a

+, strong fluorescence; ±, faint fluorescence; −, no fluorescence.

The utility of the fis probes or the dps probe for the detection of fecal enterobacteria in environmental samples requires that they function in a taxon-specific manner. Since the Enterobacteriaceae comprise over 50 genera and a correspondingly larger number of species, an exhaustive experimental analysis to establish taxonomic specificity was not pursued. As an alternative, phylogenetic comparisons of enterobacterial fis and dps orthologs from the major genera were conducted to establish the evolutionary relationships between these genes among members of the Enterobacteriaceae (Fig. 5). In both cases, fis and dps ortholog distribution followed the pattern of taxonomic relationships generally accepted for these enterobacterial genera; E. coli and Shigella orthologs were tightly clustered, while Proteus orthologs were the most distant. Comparisons of the evolutionary distances between selected sequences indicated that both enterobacterial genes are significantly more divergent among this group of organisms than their corresponding 16S rRNA sequences. The maximum divergence value relative to E. coli for fis was 13.1% (330 nucleotides [nt]), for dps was 29.9% (504 nt), and for 16S rRNA was 7% (1,400 nt).

FIG. 5.

FIG. 5.

Phylogenetic trees of enterobacterial fis and dps orthologs. (Left) Distance tree of fis. The outgroup was V. cholerae. (Right) Distance tree of dps. The outgroup was S. mutans.

mRNA profiling of secondary treated wastewater.

The mRNA profiling procedure was then used to examine fecal enterobacteria in environmental samples consisting of secondary treated municipal wastewater. Fixed cell samples were simultaneously probed with the fis, dps, and 16S rRNA probes and examined at individual wavelengths and under bright-field conditions. Since the incidence of enterobacteria within the wastewater microbial community is low (approximately 10%), different fields of view within single samples were examined to assess the frequency of cells detected by either type of probe. In these samples, the fis probes detected 29.37% (± 4.96%) of the cells detected by the 16S rRNA ENT probe whereas the dps probe detected 2.75% (± 2.52%) of those detected by the 16S rRNA ENT probe. All cells detected by fis and dps probes were also detected using the 16S rRNA ENT probe.

To better understand the specificity of these probes in wastewater samples, known numbers of E. coli in either exponential phase or stationary phase were seeded into wastewater samples obtained from secondary clarifiers prior to sample analysis. Relative to the number of cells detected using the 16S rRNA probe (ENT), the fis probes detected 62.22% (± 11.58%) whereas the dps probe detected 51.24% (± 7.29%).

To determine whether the pattern of fluorescence detected in probed samples accurately reflected fecal enterobacterial growth state, the effect of prolonged incubation with and without nutrient supplementation was examined. Secondary treated wastewater samples were chilled, transported to the laboratory, and allowed to incubate at ambient temperatures with and without addition of tryptone (0.01% [wt/vol]). Samples were removed periodically and probed with the fis, dps, and 16S rRNA probes, and the percentages of cells detected by the fis or dps probes as a fraction of those detected by the 16S rRNA probe were determined (Fig. 6). Initial values indicated that 30.82% ± 11.48% of the cells detected by the 16S rRNA probe were also detected by the fis probes whereas only 11.48% ± 6.91% were detected by the dps probe. After 10 h of additional incubation and entry of the culture into stationary phase, as indicated by plateauing of cell density measurements, the fraction of cells detected by the 16S rRNA and fis probes dropped to 4.49% ± 6.67% whereas that of cells detected by the dps probe rose to 37.40% ± 6.67% (Fig. 6A). In cultures that were nutrient supplemented, however, the pattern was reversed and the fraction of cells detected by both the 16S rRNA and fis probes increased with continued incubation whereas that detected by the dps probe decreased (Fig. 6B). These results demonstrate that the mRNA profiling method could detect physiological changes in the endogenous fecal enterobacterial community in secondary wastewater.

FIG. 6.

FIG. 6.

Quantitative mRNA profiling of secondary treated wastewater. Quantitation of numbers of cells with detectable levels of fis or dps mRNA as percentages of the total number of cells with detectable levels of 16S rRNA is shown. (A) Unsupplemented secondary treated wastewater; (B) tryptone-supplemented secondary treated wastewater. Cells detected with the fis probes (black bars) and cells detected with the dps probe (grey bars) are shown.

DISCUSSION

Single-cell detection of fis and dps mRNA levels with complementary fluorochrome-labeled oligonucleotide probes was used to measure the physiological growth status of uncultivated fecal enterobacterial cells in secondary treated municipal wastewater. Cells in unamended secondary treated wastewater samples occurred in both growing and nongrowing states, and a subset of these responded to the addition of nutrients. The successful application of this method relies in part on the natural abundance of the target mRNAs, which can approximate levels achieved by 16S rRNA. For this reason, signal amplification using coupled enzymes or other strategies was unnecessary for detection of single-cell fluorescence. This method can therefore be used to determine the identity and the growth state of fecal enterobacteria during secondary wastewater disinfection (23).

The mRNA profiling method was effective in detecting fecal enterobacterial cells despite the overwhelming dominance of other taxa in water samples. Consequently the new method represents an improvement over previous culture-independent strategies that were inherently limited by the use of group-specific enterobacterial fluorochrome-coupled antibodies (18, 23). As the samples employed in this study underwent filtration to remove macroscopic particles, the remaining microbial communities were necessarily planktonic and particle-associated organisms were not examined. The availability of small nucleic acid-based probes, however, may enable studies to address the composition and physiologic status of particle-associated fecal enterobacteria in wastewater samples.

Not all cells detected in secondary wastewater with the enterobacterial 16S rRNA probe were detected using either the fis or dps probes; approximately 50% remained unaccounted. Reconstruction experiments using either pure cultures of individual taxa, mixed cultures of individual taxa, or seeded environmental samples verified that the oligonucleotide probes are specific for fecal enterobacteria. Therefore, the remaining 50% of cells in unseeded wastewater that were detected by the enterobacterial group-specific probe are most likely to have been nonfecal enterobacteria. Note that culture-based methods used to examine wastewater taxonomic composition provide lower values for E. coli in such water samples. Perhaps this difference is associated with the use of specific enrichment methods that inhibit the growth of fecal enterobacteria present in an injured or dormant state (23). Despite these methodologic differences, it is likely that the values obtained by FISH are representative of unmanipulated communities; however, the absolute abundance of fecal enterobacteria detected using mRNA profiling can only be determined with techniques that ensure the complete recovery of cells during sample analysis.

The magnitude of divergence observed for the fis and dps genes of the major enterobacterial genera suggests that other members of the Enterobacteriaceae unexamined in this study are likely to harbor fis and dps orthologs sufficiently different to be distinguished during FISH analysis. Thus, the data presented here suggest that fis and dps constitute useful taxonomic indicators for distinguishing members of the Enterobacteriaceae by FISH analysis and could be used to derive information about their physiologic status in environmental samples.

Acknowledgments

This research was supported in part by funds from the Water Environment Research Foundation (grant 00-HHE-1), Environmental Protection Agency assistance agreement CR827345-01-0, and grant LB2106 from the state of Nebraska.

The continuing cooperation of wastewater treatment plant personnel is gratefully acknowledged.

REFERENCES

  • 1.Almiron, M., A. J. Link, D. Furlong, and R. Kolter. 1992. A novel DNA-binding protein with regulatory and protective roles in starved Escherichia coli. Genes Dev. 6:2646-2654. [DOI] [PubMed] [Google Scholar]
  • 2.Amaan, R. I., W. Ludwig, and K. H. Schleifer. 1995. Phylogenetic identification and in situ detection of individual microbial cells without cultivation. Microbiol. Rev. 59:143-169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Azam, T., A. Iwata, A. Nishimura, S. Ueda, and A. Ishihama. 1999. Growth phase-dependent variation in protein composition of the Escherichia coli nucleoid. J. Bacteriol. 181:6361-6370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Ball, C. A., R. Osuna, K. C. Ferguson, and R. C. Johnson. 1992. Dramatic changes in Fis levels upon nutrient upshift in Escherichia coli. J. Bacteriol. 174:8043-8056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Eaton, A. D., L. S. Clesceri, and A. E. Greenberg. 1995. Standard methods for the examination of water and wastewater, 19th ed. American Public Health Association, Washington, D.C.
  • 6.Felsenstein, J. 1989. PHYLIP—phylogeny interface package (version 3.2). Cladistics 5:164-166. [Google Scholar]
  • 7.Hahn, D., R. A. Amann, and J. Zeyer. 1993. Detection of mRNA in Streptomyces cells by whole-cell hybridization with digoxigenin-labeled probes. Appl. Environ. Microbiol. 59:2753-2757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Hodson, R. E., W. A Dustman, R. P. Garg, and M. A. Moran. 1995. In situ PCR for visualization of microscale distribution of specific genes and gene products in prokaryotic communities. Appl. Environ. Microbiol. 61:4074-4082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Johnson, R. C., C. A. Ball, D. Pfeffer, and M. I. Simon. 1988. Isolation of the gene encoding the Hin recombinational enhancer binding protein. Proc. Natl. Acad. Sci. USA 85:3484-3488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Koch, C., J. Vandekerckhove, and R. Kahmann. 1988. Escherichia coli host factor for site-specific DNA inversion: cloning and characterization of the fis gene. Proc. Natl. Acad. Sci. USA 85:4237-4241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Lomovskaya, O. L., J. P. Kidwell, and A. Matin. 1994. Characterization of the σ38-dependent expression of a core Escherichia coli starvation gene, pexB. J. Bacteriol. 176:3928-3935. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Miller, J. H. 1972. Experiments in molecular genetics. Cold Spring Harbor Laboratory, Cold Spring Harbor, N.Y.
  • 13.Mittelman, M. W., M. Habash, J. M. Lacroix, A. E. Khoury, and M. Krajden. 1997. Rapid detection of Enterobacteriaceae in urine by fluorescent 16S rRNA in situ hybridization on membrane filters. J. Microbiol. Methods 30:153-160. [Google Scholar]
  • 14.Moter, A., and U. B. Gobel. 2000. Fluorescence in situ hybridization (FISH) for direct visualization of microorganisms. J. Microbiol. Methods 41:85-112. [DOI] [PubMed] [Google Scholar]
  • 15.Nilsson, L., H. Verbeek, E. Vijgenboom, C. van Drunen, A. Vanet, and L. Bosch. 1992. FIS-dependent trans activation of stable RNA operons of Escherichia coli under various growth conditions. J. Bacteriol. 174:921-929. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Notley, L., and T. Ferenci. 1996. Induction of RpoS-dependent functions in glucose-limited continuous culture: what level of nutrient limitation induces the stationary phase of Escherichia coli? J. Bacteriol. 178:1465-1468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Pernthaler, A., J. Pernthaler, H. Eilers, and R. Amann. 2001. Growth patterns of two marine isolates: adaptations to substrate patchiness? Appl. Environ. Microbiol. 67:4077-4083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ponniah, G., H. Chen, R. Michielutti, N. Salonen, and P. Blum. 2003. Single-cell protein profiling of wastewater enterobacterial communities predicts disinfection efficiency. Appl. Environ. Microbiol. 69:4227-4235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Poulsen, L. K., G. Ballard, and D. A. Stahl. 1993. Use of rRNA fluorescence in situ hybridization for measuring the activity of single cells in young and established biofilms. Appl. Environ. Microbiol. 59:1354-1360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Regnault, B., S. Martin-Delautre, M. Lejay-Collin, M. Lefevre, and P. A. D. Grimont. 2000. Oligonucleotide probe for the visualization of Escherichia coli/Escherichia fergusonii cells by in situ hybridization: specificity and potential applications. Res. Microbiol. 151:521-533. [DOI] [PubMed] [Google Scholar]
  • 21.Rockabrand, D., T. Arthur, G. Korinek, K. Livers, and P. Blum. 1995. An essential role for the Escherichia coli DnaK protein in starvation-induced thermotolerance, H2O2 resistance, and reductive division. J. Bacteriol. 177:3695-3703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Rockabrand, D., K. Livers, T. Austin, R. Kaiser, D. Jensen, R. Burgess, and P. Blum. 1998. Roles of DnaK and RpoS in starvation-induced thermotolerance of Escherichia coli. J. Bacteriol. 180:846-854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Rockabrand, D., T. Austin, R. Kaiser, and P. Blum. 1999. Bacterial growth state distinguished by single-cell protein profiling: does chlorination kill coliforms in municipal effluent? Appl. Environ. Microbiol. 65:4181-4188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Rompre, A., P. Servais, J. Baudart, M. de Roubin, and P. Laurent. 2002. Detection and enumeration of coliforms in drinking water: current methods and emerging approaches. J. Microbiol. Methods 49:31-54. [DOI] [PubMed] [Google Scholar]
  • 25.Thompson, J. D., D. G. Higgins, and T. J. Gibson. 1994. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 22:4673-4680. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Tolker-Nielsen, T., K. Holmstrom, and S. Molin. 1997. Visualization of specific gene expression in individual Salmonella enterica serovar Typhimurium cells by in situ PCR. Appl. Environ. Microbiol. 63:4196-4203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Wagner, M., M. Schmid, S. Juretschko, K. H. Trebesius, A. Bubert, W. Goebel, and K. H. Schleifer. 1998. In situ detection of a virulence factor mRNA and 16S rRNA in Listeria monocytogenes. FEMS Microbiol. Lett. 160:159-168. [DOI] [PubMed] [Google Scholar]

Articles from Applied and Environmental Microbiology are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES