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Applied and Environmental Microbiology, June 2007, p. 3752-3754, Vol. 73, No. 11
0099-2240/07/$08.00+0 doi:10.1128/AEM.02549-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.
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Department of Biochemistry, Faculty of Science, Masaryk University, 61137 Brno, Czech Republic
Received 1 November 2006/ Accepted 10 April 2007
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Media with dimethyl sulfoxide and Tween 80 (16), acetone (7, 14), and ground flowers of sulfur suspended in water (7) were reported to increase elemental sulfur solubility (or wettability) in resting-cell suspensions. Elemental sulfur dissolved in acetone has previously been used to determine the apparent Michaelis constant for sulfur (Km) (14).
The purpose of this study was to investigate variability in metabolism of elemental sulfur using YX/S, maximum sulfur oxidation rate (v), and Km as indicators.
For these experiments, A. ferrooxidans strain CCM 4253 (Czech Collection of Microorganisms) was grown on elemental sulfur (Sulfur Extra Pure; Riedel-deHaën, Germany) at 28°C in three ways: in a 10-liter bioreactor and 500-ml shake flasks as described earlier (3) and in a bioreactor (Biostat B-DCU; B. Braun Biotech International, Germany) with a 5-liter polyetheretherketone glass vessel (FairMenTec, Germany). This strain was shown to be highly related (100% identity) to the type strain (ATCC 23270) of A. ferrooxidans by 16S rRNA gene sequencing.
YX/S was determined as the slope of a linear dependence of the cell count on sulfate concentration. v was determined from the linear rate of sulfate formation. The sulfate concentration and the number of bacteria were determined isotachophoretically (9) and turbidimetrically (3), respectively.
Bacteria for the resting-cell suspension experiments were harvested by centrifugation from the growing culture when the pH reached 1; they were washed and resuspended in a basal salt medium (3) to a final concentration of 7 x 109 bacteria per ml. Commercial colloidal sulfur (colloidal sulfur powder; Riedel-deHaën, Germany) was used as the sulfur substrate at 8 g per 100 ml water to determine Km. The sulfur oxidation rate was determined as the oxygen uptake rate (Q) at 28°C using an oxygen electrode of the Clark type (Electrofact, The Netherlands). All values were corrected for low endogenous oxidation rates. In experiments at different temperatures, the electrode calibration for dissolved oxygen was made for each temperature separately. Km was determined as a slope in the dependence of Q on Q/S, where S is actual sulfur concentration in cell suspension.
Although the values of YX/S and v within the same experimental run remained unchanged (within experimental error), the two constants demonstrated significantly different values in different experiments (Fig. 1). Some of the differences exceeded 1 order of magnitude. YX/S was not affected by v even where v decreased due to low pH or low sulfur concentration (not shown in the summarized data in Fig. 1). The 95% confidence intervals of YX/S (cells g1) for A. ferrooxidans strain CCM 4253 of (2.7 ± 0.5) x 1011 and (2.3 ± 1.2) x 1011 (3) were comparable to 6.25 x 1011 for another strain of A. ferrooxidans (13), where no experimental error was indicated. Similar yields for Acidithiobacillus thiooxidans, 4.9 x 1011 (6), 2.1 x 1011 (12), and 8.4 x 1011 (4), have also been determined. All the above values have not been out of the wide range of YX/S values in Fig. 1. However, no variability within the strain has been observed because the above data have corresponded to only one or a very few replicates. In contrast, the data in Fig. 1 represent a much higher culture number, in part under different conditions or time periods. The significant changes in YX/S might indicate, e.g., a highly variable number of sulfur electrons that are available for reverse electron transport.
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FIG. 1. Relationship between growth yield on sulfur (YX/S) and maximum sulfur oxidation rate (v) determined in 73 batch cultures of the A. ferrooxidans strain CCM 4253. Cultures included 10-liter cultures in a bioreactor with initial sulfur concentrations of 5 to 20 g/liter (); 5-liter cultures in a bioreactor (B. Braun Biotech International, Germany) with an initial sulfur concentration of 10 g/liter (x); and 100-ml cultures in shake flasks with initial sulfur concentrations of 1 to 20 g/liter (-), 10 g/liter at an initial pH of 1 to 2 ( ), and 10 g/liter at an initial sulfate concentration of 4 to 160 mM ( ).
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Using the commercial colloidal sulfur in resting-cell suspensions, the sulfur oxidation rate was much higher than those for the above-mentioned sulfur substrate media (not shown). Data in Fig. 2 (inset) demonstrated a linear dependence of Km on cell concentration, indicating a cell steric effect. The Km expressed per single cell was 6.2 ± 0.5 fmol cell1 (95% confidence interval). As the saturation constant for sulfur is considered to be constant during growth (3), growth and nongrowth conditions reveal different impacts on the limiting substrate concentration. The duration of cell suspension storage in the absence of sulfur also affected Km (Fig. 2). This might be related to changes over time in cell surface or enzyme structure conformation. No significant effect of pH (at a pH of 7, 4, 3, 2, or 1) on Km was observed (P > 0.05, not shown), although a pH optimum for sulfur oxidation ranged between 3 and 6. In contrast, two pH optima at 3 and 6 were detected in the acetone medium (14), where Kms were 10.0 and 5.5 mM at the respective pHs. However, no experimental error was indicated to demonstrate the significance in the Km difference. Compared to 25°C, the significant temperature effect (at 15, 25, 30, 35, or 40°C [not shown]) on Km was observed only at 40°C (but only at P < 0.01). Although Michaelis-Menten kinetics was applicable, Km was significantly dependent on cell concentration and cell storage time. In contrast, pH and temperature did not represent factors influencing Km.
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FIG. 2. Dependence of the apparent Michaelis constant for sulfur on culture storage time at 4°C and on cell concentration (in the inset, r = 0.999) in resting cells. The bars show the standard deviations.
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This work was supported by grants 525/04/1309 from the Czech Science Foundation and MSM0021622413 from the Czech Ministry of Education.
Published ahead of print on 20 April 2007. ![]()
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