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The time course of the conversions of chemical components in herring extracts during anaerobic growth of Proteus sp., str. NTHC 153, Aeromonas sp., str. NTHC 154, and Enterobacter sp., str. NTHC 151 (Strøm & Larsen 1979) has been studied. When the Proteus sp. or the Aeromonas sp. were inoculated into the herring extracts and incubated at 15°C under anaerobic conditions, the sugar components (i.e. mainly ribose, free and bound) were the first substrates utilized. These compounds were converted to acetate and CO2 by the use of trimethylamine oxide (TMAO) as an external hydrogen acceptor. Growth of bacteria ceased when all TMAO was reduced to trimethylamine (TMA). By adding an extra amount of TMAO to the herring extracts an increased growth of the Proteus sp. and the Aeromonas sp. ensued. The increased growth occurred concomitantly with a further conversion of TMAO to TMA and of lactate to acetate and CO2. The Enterobacter sp., which did not utilize lactate, did not give an increased growth in herring extracts enriched with TMAO.  相似文献   

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Propidium monoazide (PMA) was optimized to discriminate between viable and dead Bacteroides fragilis cells and extracellular DNA at different concentrations of solids using quantitative PCR. Conditions of 100 μM PMA and a 10-min light exposure also excluded DNA from heat-treated cells of nonculturable Bacteroidales in human feces and wastewater influent and effluent.The aim of microbial source tracking (MST) methods is to identify, and in some cases quantify, the dominant sources of fecal contamination in surface waters and groundwater (2, 16). One of the most promising library- and cultivation-independent approaches utilizes fecal Bacteroidales bacteria and quantitative PCR (qPCR) assays to measure gene copies of host-specific genetic markers for 16S rRNA (4, 5, 10, 14). Currently, molecular assays do not directly discriminate between viable and nonviable cells since DNA of both live and dead cells and extracellular DNA can be amplified. Consequently, source tracking data based on detection of genetic markers by PCR cannot distinguish between recent and past contamination events since DNA of selected pathogens can persist after cell death for more than 3 weeks (6). Hence, it would be preferable to detect host-specific markers in viable cells of Bacteroidales bacteria, which are strictly anaerobic microorganisms and unlikely to survive in water.Previous studies have suggested the use of intercalating DNA-binding chemicals combined with PCR to inhibit PCR amplification of DNA derived from dead cells (8, 9, 11, 15). For example, ethidium monoazide (EMA) has been investigated as a means of reducing the PCR signal from DNA originating from dead bacterial cells (7, 15, 19). However, the use of EMA prior to DNA extraction has been found to result in a significant loss of the genomic DNA of viable cells in the case of Escherichia coli 0157:H7, Campylobacter jejuni, and Listeria monocytogenes (3, 7). Recently propidium monoazide (PMA) has been proposed as a more selective agent, penetrating only dead bacterial cells but not viable cells with intact membranes (8). EMA/PMA in combination with PCR or qPCR has been applied to identify viable food-borne pathogens in a simple matrix (3, 7, 8, 11), and possible restrictions in the use of PMA in environmental samples were reported (9, 19). Yet the feasibility of applying PMA in environmental samples or MST studies using fecal Bacteroidales bacteria has not been systematically studied. Any meaningful application of EMA or PMA in stool or natural water samples must consider potential interferences due to particulate matter present in the environmental matrix. Similarly, procedures for the concentration of large volumes of water samples to simultaneously monitor pathogens and MST identifiers can lower the limit of detection (4, 12), but they concentrate solids or other inhibitors of quantitative PCR (qPCR) as well, which might interfere in the covalent binding of PMA to DNA.The objectives of this study were, therefore, the following: (i) to evaluate the applicability of PMA-qPCR methods to detect culturable Bacteroides fragilis, (ii) to determine the feasibility of PMA-qPCR analysis for environmental samples containing different concentrations of solids, and (iii) to validate the utility of the PMA-qPCR method for the detection of fecal Bacteroidales bacteria in defined live and heat-treated mixtures of human feces and in wastewater treatment plant influent and effluent.Pure cultures of Bacteroides fragilis (ATCC 25285) were grown in thioglycolate broth (Anaerobe System, Morgan Hill, CA) under anaerobic conditions in GasPak anaerobic jars (Becton Dickinson Microbiology Systems, Cockeysville, MD). The solids were obtained by hollow-fiber ultrafiltration as described previously (12, 13). Ultrasonification and heat sterilization in an autoclave were used for removing attached bacteria or DNA from solids and inactivating residual DNA. Finally, the solids were resuspended with 1× phosphate-buffered saline (PBS) solution to 100 mg liter−1 or 1,000 mg liter−1 of suspended solids. The concentration of total suspended solids (TSS) was measured using method 2450 C (1). Next, 1 ml of broth medium containing 2 × 109 viable or 2 × 108 heat-treated B. fragilis cells, which had been exposed at 80°C for 20 min, was spiked into 1× PBS buffer solutions containing 0 mg liter−1, 100 mg liter−1, or 1,000 mg liter−1 of TSS. Before the cells were spiked, 1 ml of Bacteroides fragilis cell suspension was enumerated with the Live/Dead BacLight bacterial viability kit (Molecular Probes Inc., Eugene, OR) using a hemacytometer and an Axioskop 2 Plus epifluorescence microscope (Zeiss, Thornwood, NY) equipped with two filter sets (fluorescein isothiocyanate and Texas Red). The inoculated samples were incubated under anaerobic conditions in GasPak anaerobic jars (Becton Dickinson Microbiology Systems, Cockeysville, MD) for 4 h at 20°C to allow sufficient time for the cells to sorb to solids.A fresh human fecal specimen was obtained from a healthy adult. Two grams of feces was suspended in 25 ml 1× PBS. The fecal suspension was diluted 1:10 and 1:100 in a 1× PBS solution, and aliquots were subjected to heat treatment at 80°C for 20 min. The heat-treated fecal portions were mixed with fresh diluted samples (1:10 and 1:100 dilutions) in defined ratios, with fresh feces representing 0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, and 100% of the total, respectively. Effluent and influent water samples were collected in sterile 2-liter bottles from the University of California, Davis, wastewater treatment plant. The effluent samples were concentrated to approximately 200 ml by hollow-fiber ultrafiltration (12).PMA (Biotium Inc., Hayward, CA) was prepared, stored, and used as described in previous studies (8, 9), but PMA concentrations and light exposure time were varied to determine the optimal condition of PMA-qPCR; the PMA concentrations were 2 μM, 6 μM, 20 μM, and 100 μM. Light exposure times were 1 min, 5 min, 10 min, and 20 min. Genomic DNA was extracted using the FastDNA spin kit for soil (Biomedicals, Solon, OH). Cell lysis was achieved by bead beating using a bead mill Minibread beater (Biospec Products Inc., Bartlesville, OK) at 2,400 rpm for 20 s. Otherwise, DNA extraction was performed according to the manufacturer''s instructions. TaqMan probe and primer assays targeting the rRNA genes of all fecal Bacteroidales bacteria (BacUni-UCD) and mixed human-specific Bacteroidales bacteria (BacHum-UCD), developed by Kildare et al. (4), were used to detect and quantify fecal Bacteroidales bacteria present in fecal and (waste)water samples.We explored the ability of PMA-qPCR to discriminate between viable and heat-killed cells at different solids concentrations using Bacteroides fragilis cultures (Fig. (Fig.1).1). PMA did not influence the PCR amplification of DNA derived from viable cells when no solids were present (TSS = 0 mg liter−1) (Fig. (Fig.1A).1A). The level of PMA concentration slightly affected the mean cycle threshold differences (ΔCT) of viable cells at higher solids concentrations (TSS = 100 and 1,000 mg liter−1) (Fig. 1C and E). The signal reductions in the amplification of heat-killed cells were a function of both the PMA concentration and exposure time (Fig. 1B, D, and F). Lower solids concentrations did not inhibit the efficacy of discrimination from heat-killed cells. However, solids at 1,000 mg liter−1 affected the amplification of DNA derived from heat-killed cells. Higher solids concentrations affected the suppression of PCR amplification from heat-treated cells by interfering with the cross-linking of PMA. In agreement with previous reports, the number of viable Bacteroides fragilis cells was underestimated in our study when EMA-treated and untreated samples containing only viable cells were compared because mean ΔCT values were as high as 10 (data not shown). In contrast to EMA, PMA seems to not penetrate live cells, since higher selectivity of PMA is most probably associated with the higher charge of the molecule (8).Open in a separate windowFIG. 1.Effect of PMA on amplification of BacUni-UCD universal marker in viable and dead Bacteroides fragilis cells with different concentrations of solids. The contour lines represented ΔCT values and were generated by the Origin Pro 8 software program. The mean cycle threshold differences (ΔCT) were calculated by subtracting CT values obtained without PMA treatment from CT values obtained with PMA treatment. (A and B) ΔCT for viable cells (A) or dead cells (B) in the absence of added solids. (C and D) ΔCT for viable cells (C) or dead cells (D) at a solids concentration of 100 mg liter−1. (E and F) ΔCT for viable cells (E) or dead cells (F) at a solids concentration of 1,000 mg liter−1.A factorial three-way analysis of variance including the PMA concentration, exposure time, and TSS concentration was performed to determine the interferences of solids and the optimal PMA-qPCR condition in the differentiation of viable cells from dead cells (Table (Table1).1). The mean ΔCT of viable cells in the PMA experiments was slightly influenced by the PMA concentration (P = 0.05) in the absence of solids (TSS = 0 mg liter−1), but the effect was biologically insignificant (mean ΔCT = 0.004). The PMA concentration had a significant effect on ΔCT values for both viable and dead cells in the presence of higher solids concentrations (TSS = 100 and 1,000 mg liter−1), as shown in Table Table1.1. However, the effect of exposure time in PMA treatment was insignificant at a TSS concentration of 1,000 mg liter−1 (P > 0.4). The solids concentration caused significantly different ΔCT values for viable and dead cells in the PMA treatments (P < 0.001) as determined by factorial three-way analysis. The greatest differences in the mean ΔCT values between viable and dead cells were seen at 100 μM of PMA and with a 10-min exposure time, as determined by Tukey''s comparison test, for TSS concentrations of 100 mg liter−1 and 1,000 mg liter−1. Ideally, shorter light exposure and a lower concentration of dye can minimize the penetration of live cells. However, these conditions were not compatible with sufficient inhibition of amplification of DNA from dead cells for PMA treatment.

TABLE 1.

Statistical analysis for differences (ΔCT) between nontreatment and PMA treatment for experiments where Bacteroides fragilis was spikeda
TSS concn (mg liter−1)FactorEffect of factor with PMA treatment
Viable Bacteroides fragilis
Dead Bacteroides fragilis
Mean ΔCTSDdfbFcP valuedMean ΔCTSDdfbFcP valued
0Conc (μM)0.0030.79232.770.05012.293.78344.040.001
Time (min)0.0030.92630.060.98012.293.21323.790.001
Interaction91.920.08791.490.209
100Conc (μM)0.910.935311.440.00111.924.76315.050.001
Time (min)0.910.961310.090.00111.925.9631.360.274
Interaction91.800.11190.970.484
1,000Conc (μM)0.220.702312.100.0016.493.05348.900.001
Time (min)0.220.96330.860.4726.496.4930.880.464
Interaction90.600.78491.130.373
Open in a separate windowaA general linear model, which is the foundation for the t test, analysis of variance, regression analysis, and multivariate methods including factor analysis, was used to analyze the effects of the PMA concentration, exposure time, and interaction at different concentrations of solids.bDegrees of freedom.cThe statistic used to test the hypothesis that the variance of a factor is equal to zero.dThe P value is the smallest level of significance that would lead to rejection of the null hypothesis with the given data. We chose the common α-level of 0.05 to determine an acceptable level of significance.The factorial design study revealed that the mean ΔCT of B. fragilis cells was a function of both the concentration and the exposure time. An optimal set of conditions consisted of applying PMA at 100 μM for a 10-min exposure time. By comparison, in the case of E. coli 0157:H7, a PMA concentration of 50 μM was sufficient for avoiding a potential DNA loss from viable cells, but a longer incubation time (15 min) for the PMA cross-linking step and a higher PMA concentration (240 μM) resulted in a moderate DNA loss (8). Yet a factorial design was not employed in that study.PMA-qPCR was applied to defined mixtures of viable and heat-treated cells prepared from fresh human stool samples. PMA-qPCR resulted in selective exclusion of DNA from heat-treated stool, and there was no effect on PCR amplification from fresh feces. Gene copy numbers for human-specific Bacteroidales detected by BacHum-UCD were directly related to the percentage of fresh feces present in 1:10 (higher TSS content) and 1:100 (lower TSS content) dilutions of fecal material, with R2 values of 0.98 and 0.88, respectively (Fig. 2A and B). PMA also suppressed the signals from heat-treated feces, with a reduction in the number of gene copies detected of 2.5 logs in 1:10 dilutions of fecal samples and 3.2 logs in 1:100 dilutions of fecal samples, respectively. The greater variability in the data at the lower feces concentration and hence lower target numbers for PMA-qPCR would suggest that there may be some penetration of PMA into undamaged cells, an effect that was not noticeable when there were many cells present. A close look at Fig. Fig.2B2B reveals that the relationship is not perfectly represented by a linear fit, hence the lower R2 value. However, the standard deviation of CT values for different percentages of fresh fecal material ranged from 0.52 to 1.17, an acceptable value which would not significantly affect the interpretation of the linear relationship.Open in a separate windowFIG. 2.Effect of PMA treatments at 100 μM and a 10-min light exposure on PCR amplification in human fecal samples containing defined ratios of fresh and heat-treated feces. The black squares (▪) denote a 1:10 dilution of fecal material, and the white circles (○) denote a 1:100 dilution of fecal material. The error bars represent standard deviations for three samples. (A) Least-squares linear regression between the concentration of BacHum-UCD marker and defined ratios of 10-fold-diluted fresh and heat-treated feces. (B) Least-squares linear regression between the concentration of the BacHum-UCD marker and defined ratios of 100-fold-diluted fresh and heat-treated feces.Influent and effluent water samples from the University of California, Davis, wastewater treatment plant were analyzed with BacUni-UCD and BacHum-UCD Bacteroidales molecular markers (4) to evaluate the PMA-qPCR method in environmental samples. In the influent samples, the concentration of viable and dead Bacteroidales cells was 7.6 × 106 gene copies/ml, compared to 2.3 × 106 gene copies/ml for viable Bacteroidales bacteria alone, as determined by PMA-qPCR (Fig. (Fig.3).3). There was a significant difference between results with PMA treatment and those with no treatment for both gene copies/ml and the CT number (P < 0.01), yet this result nonetheless indicates that many Bacteroidales cells detected in the influent were viable. In general, the residence time in a sewer network is less than 24 h, and even though Bacteroidales bacteria are anaerobic organisms, they appear to be somewhat protected in the wastewater collection system, perhaps due to the formation of oxygen gradients in solids. A 2.5-log reduction of human-specific Bacteroidales DNA from influent samples to effluent samples was observed, but human-specific Bacteroidales DNA was still present at 104 gene copies ml−1 in effluent samples after UV treatment when no PMA treatment was applied (Fig. (Fig.3).3). Similarly, the concentration of the universal Bacteroidales gene marker BacUni-UCD was 104 gene copies ml−1 in effluent after a 3-log reduction during wastewater treatment (data not shown). As determined by PMA-qPCR, 30% of Bacteroidales cells containing the human-specific molecular marker BacHum-UCD were still viable in influent samples, whereas only human-specific Bacteroidales DNA but no viable cells were detected in effluent samples (Fig. (Fig.3).3). This result can be explained by the highly oxygenated environment in the aeration tank of the wastewater treatment plant and a typical cell residence time in the activated sludge process of 3 to 15 days (18), followed by UV treatment. The total coliform count in the effluent was less than 2.2 most probable number/100 ml. Consequently, the absence of viable Bacteroidales cells in the effluent would be expected.Open in a separate windowFIG. 3.Comparison of Bacteroidales gene copies determined using the BacHum-UCD assay in the presence and absence of PMA. Wastewater treatment influent, heat-treated influent, and effluent after UV disinfection were analyzed by quantitative PCR. The effluent was concentrated from 2 liters to 200 ml by hollow-fiber ultrafiltration (12), and DNA was extracted from the concentrated effluent and the influent samples. SLOD, sample limit of detection.A combination of large-volume water filtration and qPCR assays to simultaneously detect pathogens and MST molecular markers in water has been successful in lowering sample limits of detection and in improving detection of target pathogens present at low concentrations (4, 12, 16). However, the viability of target bacteria must be addressed to ensure broad application of nucleic-acid-based methods to environmental monitoring. A recent study reported that a limitation regarding PMA treatment was observed in samples with higher solid contents such as sediments and some environmental samples during denaturing gradient gel electrophoresis analysis of viable cells (9). Wagner et al. (19) suggested that the particles of diluted fermentor sludge could inhibit the cross-linking step when the chemicals should be light activated, since the radiation probably cannot penetrate the liquid. Similarly, the presence of eukaryotic DNA in stool samples and that of various inhibitors in matrices with a high solid content, like storm water, can hamper sensitivity in distinguishing viable cells in the application of PMA-qPCR. In our hands, PMA-qPCR was successful at relatively high solids concentrations (TSS = 1,000 mg liter−1) only after optimization.In a recent watershed study, MST data using qualitative (presence/absence) markers of bovine-specific (CF128) and human-specific (HF183) Bacteroidales genotypes were more reliable on high-flow samples with higher concentrations of culturable fecal indicators and could not discriminate precisely between livestock- and human-derived feces in the larger land use pattern (17). The reason for this outcome may have been the use of nonquantitative MST data and/or the presence of free DNA or extracellular DNA, which can persist in marine water, freshwater, and sediment for up to 55 days, 21 days, or 40 days, respectively (6). Significant concentrations of dissolved DNA have been found in marine water, freshwater, and sediments at concentrations ranging from 1 μg to 80 μg liter−1 (6). It is also possible that a case of positive detection of a Bacteroidales genetic marker in a 2.5-μl creek sample using direct PCR without DNA extraction (5) could have been caused by the presence of free DNA and not by a recent fecal contamination event. PMA combined with qPCR assays for host-specific Bacteroidales genetic markers may be used in the future to simultaneously identify the sources of different fecal loadings and estimate recent and past fecal contamination by both measuring molecular markers in viable cells and separately quantifying their gene copies in dead cells and in extracellular DNA. This rapid and simple method should greatly advance the utility of Bacteroidales assays in microbial source tracking. Moreover, it could be an extremely useful method to determine survival of host-specific Bacteroidales cells or waterborne pathogens and their DNA, to estimate recent fecal contamination in water, and to inform remedial action plans.  相似文献   

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Previous studies showed that Salmonella typhimurium apparently senses external nitrogen limitation as a decrease in the concentration of the internal glutamine pool. To determine whether the inverse relationship observed between doubling time and the glutamine pool size in enteric bacteria was also seen in phylogenetically distant organisms, we studied this correlation in Bacillus subtilis, a gram-positive, sporulating bacterium. We measured the sizes of the glutamine and glutamate pools for cells grown in batch culture on different nitrogen sources that yielded a range of doubling times, for cells grown in ammonia-limited continuous culture, and for mutant strains (glnA) in which the catalytic activity of glutamine synthetase was lowered. Although the glutamine pool size of B. subtilis clearly decreased under certain conditions of nitrogen limitation, particularly in continuous culture, the inverse relationship seen between glutamine pool size and doubling time in enteric bacteria was far less obvious in B. subtilis. To rule out the possibility that differences were due to the fact that B. subtilis has only a single pathway for ammonia assimilation, we disrupted the gene (gdh) that encodes the biosynthetic glutamate dehydrogenase in Salmonella. Studies of the S. typhimurium gdh strain in ammonia-limited continuous culture and of gdh glnA double-mutant strains indicated that decreases in the glutamine pool remained profound in strains with a single pathway for ammonia assimilation. Simple working hypotheses to account for the results with B. subtilis are that this organism refills an initially low glutamine pool by diminishing the utilization of glutamine for biosynthetic reactions and/or replenishes the pool by means of macromolecular degradation.  相似文献   

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The replica-plating technique and Lochhead's nutritional method were combined in exploratory experiments to test their feasibility as useful means for characterizing the aerobic heterotrophic flora of activated sludge and to minimize the burdensome process of isolation, purification, and testing of isolates. In the test run, the method was about 86% reliable at the 0.05 level of significance. About 40% of the total number of bacteria able to grow on an aqueous extract of activated sludge did not grow on media containing glucose, amino acids, growth factors, and inorganic salts. The requirement for activated sludge extract suggested the existence of a requirement for unidentified nutrients contained in the activated sludge extract.  相似文献   

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K+ is a competitive inhibitor of the uptake of the other alkali metal cations by yeast. Rb+ is a competitive inhibitor of K+ uptake, but Li+, Na+, and Cs+ act like H+. At relatively low concentrations they behave as apparent noncompetitive inhibitors of K+ transport, but the inhibition is incomplete. At higher concentrations they inhibit the remaining K+ transport competitively. Ca++ and Mg++ in relatively low concentrations partially inhibit K+ transport in an apparently noncompetitive manner although their affinity for the transport site is very low. In each case, in concentrations that produce "noncompetitive" inhibition, very little of the inhibiting cation is transported into the cell. Competitive inhibition is accompanied by appreciable uptake of the inhibiting cation. The apparently noncompetitive effect of other cations is reversed by K+ concentrations much higher than those necessary to essentially "saturate" the transport system. A model is proposed which can account for the inhibition kinetics. This model is based on two cation-binding sites for which cations compete, a carrier or transporting site, and a second nontransporting (modifier) site with a different array of affinities for cations. The association of certain cations with the modifier site leads to a reduction in the turnover of the carrier, the degree of reduction depending on the cation bound to the modifier site and on the cation being transported.  相似文献   

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Two food bacteria, Serratia marcescens and Pseudomonas sp. CS-1, inhibited an enterotoxigenic strain of Staphylococcus aureus, apparently by out-competing it for nutrients. Five others, Bacillus cereus, Proteus vulgaris, Escherichia coli H-52, Aerobacter aerogenes, and Achromobacter sp., inhibited by means of antibiotic substances which were Seitz-filterable, dialyzable, and stable at 90 C for 10 min. Inhibition was not caused by changes in pH, oxidation-reduction potential, or production of peroxide or fatty acids. The concentrated antibiotic material from E. coli H-52 contained amino acids but not peptides and was especially effective against staphylococci and micrococci.  相似文献   

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