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Applied and Environmental Microbiology, November 2007, p. 7367-7372, Vol. 73, No. 22
0099-2240/07/$08.00+0 doi:10.1128/AEM.01497-07
Copyright © 2007, American Society for Microbiology. All Rights Reserved.

Molecular Biology, Umeå University, SE-901 87 Umeå, Sweden,1 Center for Bioinformatics and Genome Biology, Life Science Foundation, MIFAB and Andrés Bello University, Santiago, Chile,2 Department of Molecular Microbiology and Biotechnology, Institute of Biochemistry, Mokslininku 12, Vilnius LT-08662, Lithuania,3 CNRS, IBSM, Laboratoire de Chimie Bactérienne, 31 Chemin J. Aiguier, 13402 Marseille Cedex 20, France4
Received 4 July 2007/ Accepted 7 September 2007
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Microorganisms that use reduced inorganic sulfur compounds (RISCs) as a source of energy include archaea and bacteria and comprise acidophilic or neutrophilic photo- and chemolithotrophs that often use sulfur oxygenase (sox gene cluster) and sulfur oxygenase reductase, coded by the sor gene (16, 19, 37). However, only a few RISC-metabolizing enzymes have been characterized from industrially important acidophilic microorganisms; these include Acidithiobacillus ferrooxidans sulfur dioxygenase, which yields sulfite from S0 (33); sulfite oxidoreductase, which oxidizes sulfite to sulfate (40); a sulfide:quinone oxidoreductase which oxidizes sulfide to sulfur (41); thiosulfate oxidase, which catalyzes the oxidation of thiosulfate to tetrathionate (36); and tetrathionate hydrolase, which hydrolyzes tetrathionate to thiosulfate, sulfur, and sulfate (8). A number of enzymes and enzymatic activities have also been identified in Acidithiobacillus thiooxidans, including thiosulfate dehydrogenase (24), sulfite:ubiquinone oxidoreductase activity (38), and tetrathionate hydrolase (39).
Acidithiobacillus caldus is one of the most abundant microorganisms in industrial biomining (26, 31), where it is suggested to oxidize RISCs formed during sulfide mineral breakdown (12, 13). Elemental sulfur and tetrathionate are key intermediates in A. caldus metabolism, and tetrathionate hydrolysis yields thiosulfate, pentathionate, and eventually sulfate (6), while S0 is oxidized to sulfate via sulfite (17). The protein responsible for A. caldus tetrathionate decomposition is a periplasmic homodimer with a maximum activity at pH 3 (6). Sulfur-grown A. caldus lacks a tetrathionate-metabolizing activity, suggesting that the expression of tetrathionate hydrolase is substrate dependent and regulated on either the transcriptional or translational level (6).
This report presents a novel gene cluster containing the gene coding for the A. caldus tetrathionate hydrolase, shows its differential expression by using quantitative PCR (Q-PCR) and Western blot analysis, maps the promoter regions, and demonstrates the presence of an o-quinone cofactor in tetrathionate hydrolase (TetH). Knowledge of RISC oxidation regulation in this industrially important bacterium could contribute to the development of new approaches in biomining.
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and BL21(DE3) were grown in Luria-Bertani medium with the addition of an appropriate antibiotic.
Bioinformatic analysis of the tetH gene cluster.
Candidate protein-coding genes of the partial genome sequence of A. caldus KU were predicted using GLIMMER (9) and CRITICA (3). The gene prediction results were combined, and the corresponding amino acid sequences were compared against GenBank's nonredundant database using BLASTP (1). The alignments of the N terminus of each gene model versus the best match were used to select the preferred gene model. The revised genes were compared against the GenBank nonredundant database and the Swissprot, Pfam, Tigrfam, PROSITE, PRINTS, and COGS databases. The annotated sequences were displayed in Artemis (5) to facilitate further functional curation. Promoter prediction was performed using programs available at www.fruitfly.org/seq_tools/promoter.html and www.softberry.com and a combined Hidden Markov Model/Neural network program developed by David Holmes's laboratory (unpublished). The TetH alignment and construction of the phylogenetic tree were carried out using MEGA version 3.1 (20). Three separate phylogenetic trees were created by distance and neighbor joining, parsimony, and minimum evolution methods, and the neighbor joining tree is presented (see Fig. 2). Those nodes supported by all three trees and by two trees have been indicated.
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FIG. 2. (a) Unrooted neighbor joining tree of the A. caldus tetH (in bold) alignment with closest relatives from the NCBI database containing a PQQ binding domain and selected neutrophilic dehydrogenases also containing a PQQ binding domain. Phylogenetic analysis was carried out by the minimum evolution, distance neighbor joining, and maximum parsimony methods in MEGA; the nodes supported by all three trees (filled boxes) and by two trees (open boxes) have been marked, and the values by the nodes are bootstrap values of 1,000 runs. Accession numbers are given in parentheses. The scale bar represents 10% sequence similarity. (b) Gene block comparison of the A. caldus and A. ferrooxidans gene clusters. Vertical lines represent the two-component regulation system, and solid black denotes the tetrathionate hydrolase gene (termed tth in A. ferrooxidans).
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DNA manipulation and sequencing.
A. caldus cells were cultured as described above and harvested at 10,000 x g for 10 min, washed twice in 10 mM Tris HCl buffer (pH 8), and lysed by the addition of 100 mg lysozyme ml–1 for 10 min at room temperature followed by a final concentration of 0.5% (wt/vol) sodium dodecyl sulfate (SDS) for 30 min. Genomic DNA was prepared from the cell lysate using phenol:chloroform:isoamyl alcohol extraction and isopropanol precipitation (34). Established methods were used for restriction enzyme digestion, ligation, transformation, and plasmid purification.
RNA preparation, RT-PCR, and Q-PCR.
RNA was prepared from exponential-phase cells grown on tetrathionate or S0 by using an RNeasy mini kit (QIAGEN) with subsequent treatment with a DNA-free kit (Ambion), according to the manufacturers' recommendations. The RNA concentrations were quantified using a NanoDrop ND-1000 spectrophotometer (Saveen Werner). Reverse transcription-PCR (RT-PCR) was performed in two steps. First, cDNA was produced from total RNA by using a RevertAid first strand cDNA synthesis kit (Fermentas) and random hexamer primers. In the second step, PCR was carried out with sequence-specific primers (RT-PCR oligonucleotides shown in Table 1) and PuRe Taq ready-to-go PCR beads (GE Healthcare). To ensure that the RT-PCR was functioning correctly, positive controls using convergent primers within tetH and doxD were also carried out. Controls using the same primers to test for DNA contamination in the RNA preparations were all negative. Q-PCR was also prepared in a two-step manner with the cDNA produced from RNA using a RevertAid first strand cDNA synthesis kit (Fermentas) and random hexamer primers. The second step was performed with sequence-specific primers (Q-PCR primers shown in Table 1) and iTaq SYBR green supermix (Bio-Rad) using a Bio-Rad iCycler iQ multicolor real-time PCR detection system. The expression of the analyzed genes was calculated using iCycler iQ optical system software version 3.1 (Bio-Rad). All Q-PCR experiments were carried out in triplicate from two independent experiments.
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TABLE 1. PCR, RT-PCR, and Q-PCR oligonucleotides used in this study
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Promoter fusion and β-galactosidase assays.
DNA fragments containing predicted promoters P0 and P1 (Fig. 1) were amplified using primer pairs a and b and c and d (Table 1), digested with EcoRI and BamHI, and cloned upstream from the promoterless lac operon in the multiple cloning site on the broad-host-range plasmid pRW2 (21). β-Galactosidase activity measurements were performed in E. coli strain DH5
(22). β-Galactosidase measurements were carried out in triplicate, and the means ± standard deviations are presented below.
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FIG. 1. (a) A. caldus tetH gene cluster with the expanded portion describing the P1 promoter region showing the –10 and –35 sequences and transcription start site (all in bold caps). (b) Positive transcripts detected by RT-PCR represented by lines under the corresponding genes (to scale; see Table 1 for primers). The second transposase was not labeled as it is coded on the opposite strand.
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Measurement of the TetH PQQ content.
Purified TetH (1.6 mg) was lyophilized, and the dried pellet extracted with 2 ml methanol. After incubation at 37°C for 30 min, the suspension was centrifuged at 10,000 x g for 10 min and the supernatant evaporated. The dry material was resuspended in 5 mM Tris-HCl buffer (pH 8.0) and centrifuged at 10,000 x g for 10 min, and the supernatant used as an extract. The pyrrolo-quinoline quinone (PQQ) content was measured enzymatically using the recombinant soluble apoenzyme from Acinetobacter calcoaceticus LMD 79.41 (28). Fifty microliters of the extract and 10 µl of 0.4 M CaCl2 were added to 10 µl of apo-glucose dehydrogenase (5 mg/ml). The mixture was incubated at 30°C for 30 min (5 mM Tris-HCl buffer [pH 8.0] was used instead of extract in the control experiments). The glucose dehydrogenase activity was assayed by using a dye-linked system containing 20 mM glucose, 50 µM phenazine methosulfate, and 100 µM 2,6-dichlorophenol indophenol (DCPIP; total volume 1 ml) at 30°C. One unit of enzyme activity was defined as the amount of enzyme that catalyzes the reduction of 1 µmol DCPIP min–1. Experiments were carried out in triplicate, and the means ± standard deviations are presented below.
Staining for quinoproteins.
Quinoproteins were detected by staining with nitro blue tetrazolium (NBT; 0.24 mM in 2 M potassium glycinate, pH 10) (29). The protein samples were applied to the nitrocellulose filter, dried at room temperature, immersed in the glycinate-NBT solution for 45 min in the dark, and then dipped in 0.1 M sodium borate, pH 10. Quinoproteins were specifically stained as purple-blue bands due to NBT reduction to formazan.
Nucleotide sequence accession number.
The DNA sequence of the tetH gene cluster is available under the GenBank accession number EF460464.
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TABLE 2. Cluster of genes containing tetH and flanked by two insertion sequences
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54-dependent ZraRS-like two-component systems, whereas the A. caldus RsrRS was similar to OmpRS-like systems.
RT-PCR analysis of the tetH cluster.
Amplification products were obtained by RT-PCR experiments between primer pairs g and h, i and k, j and k, and l and m, indicating that ISac1, rsrR, rsrS, tetH, and doxD are cotranscribed. ISac2 is not part of the operon as it is oriented in the opposite direction (Fig. 1b).
Q-PCR analysis of tetH expression.
Two-step Q-PCR was performed with RNA samples prepared from A. caldus cultures grown utilizing either S0 or tetrathionate as the growth substrate. All three tested genes (rsrR, tetH, and doxD) were upregulated with tetrathionate as the substrate in comparison to their levels with growth on S0, by 6.5-fold ± 5.6-fold, 233.5-fold ± 134.0-fold, and 25.3-fold ± 20.2-fold, respectively (for all, n [number of replicate experiments] = 6). This suggests that internal promoters may be present within the gene cluster, that posttranscriptional processing of mRNA takes place, or that there are different levels of primer binding due to mRNA structure.
Western blotting shows high levels of TetH in tetrathionate-grown A. caldus.
Western blots identified bands corresponding to TetH in cells grown on tetrathionate, thiosulfate, and a mixture of tetrathionate and S0 (Fig. 3). The positive result with cells grown on thiosulfate may be explained by the fact that the products of thiosulfate oxidation include tetrathionate (17). A weaker band was found in A. caldus and "F. acidarmanus" cells grown in mixed culture on pyrite that is oxidized to Fe2+ and thiosulfate (35) but not in "F. acidarmanus" protein alone as it does not oxidize RISCs (10). The weak band may be explained by a standard concentration of protein being loaded onto the gel that would have been derived from both species. The expression of TetH during bioleaching suggests its potential importance, as the end point of RISC metabolism is sulfuric acid and this produces the acidic environment necessary for the growth of A. caldus (and other biomining microorganisms). An industrial aim within bioleaching is the ability to control the oxidation of RISCs, and this study is the first step in understanding its regulation. The TetH enzyme was not observed when 50 µg total cell protein from S0-grown A. caldus was loaded on the gel. However, with 500 µg total protein, a faint band was observed (data not shown). This result correlates with the Q-PCR data, where it was shown that the expression of the tetH gene was strongly upregulated during cultivation on tetrathionate compared to its expression during cultivation on S0, and with previous data demonstrating lack of TetH activity in A. caldus cultured with S0 (6). The expression of tetH in cells cultured on tetrathionate and S0 suggests that its expression was induced by the presence of tetrathionate rather than repression by S0 and that it was regulated at the transcriptional level, depending on the growth conditions.
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FIG. 3. Western spot immunodetection of A. caldus TetH. Lane 1, A. caldus cells grown in mixed culture with "F. acidarmanus" on pyrite; lane 2, negative control with "F. acidarmanus" grown on pyrite; lane 3, A. caldus grown on a mixture of S0 and tetrathionate; lane 4, A. caldus grown on S0; lane 5, A. caldus grown on tetrathionate; and lane 6, A. caldus grown on thiosulfate. All lanes except lane 6 (100 µg) were loaded with 50 µg total protein. The dashed line indicates where the image of the single gel was cropped.
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, and the β-galactosidase activities were measured. The β-galactosidase activities were 42 ± 15, 103 ± 29, and 33,011 ± 4,675 Miller units for the vector control, P0, and P1 promoters, respectively (for all, n = 3). This gives 2.4- and 786-fold higher β-galactosidase expression from the P0 and P1 promoters, respectively, than from the vector control, suggesting that the promoters were active.
Primer extensions using total RNA from A. caldus identified a transcription start site located between rsrR and tetH for promoter P1 (Fig. 4). However, no band was detected in association with the P0 promoter (data not shown). This was probably due to the low expression level from this promoter, as shown by Q-PCR with A. caldus and by lac promoter fusion experiments with E. coli. Therefore, tetH regulation may occur via the rsrRS system at the P1 promoter, and future work will aim to elucidate possible transcriptional regulation by several predicted transcriptional factor (Fnr, ArcA, OmpR, and GcvA) binding sites. Interestingly, the A. ferrooxidans tetrathionate hydrolase gene (tth) also has a two-component regulatory system directly upstream, although, unlike the A. caldus rsrRS, the A. ferrooxidans system belongs to the
54-specific family.
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FIG. 4. Primer extension analysis of the A. caldus P1 promoter during growth on tetrathionate. The predicted transcription start site is marked in bold with a bent arrow.
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0.09 U ml–1 ± 0.03 U ml–1, whereas the positive control with added PQQ gave 86.2 U ml–1 ± 0.7 U ml–1. In the presence of TetH methanol extract, the activity was 0.09 U ml–1 ± 0.03 U ml–1, suggesting that TetH does not contain PQQ (data not shown). However, native TetH was suggested to contain a quinoid compound by NBT-glycinate staining after direct blotting on a nitrocellulose filter (Fig. 5) and sodium dodecyl sulfate electrophoresis with subsequent blotting (data not shown). However, it was not possible to identify the cofactor, as the staining does not discriminate between different quinoid compounds. The predicted quinone binding domain and the positive o-quinone staining suggest that TetH is involved in quinone turnover. However, the fact that the TetH extract did not restore the function of the apo form of glucose dehydrogenase suggests that this cofactor is not PQQ.
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FIG. 5. o-Quinone staining of two different amounts of native TetH (a) and TetH boiled and precipitated with trichloroacetic acid before blotting and staining (b). The amounts of TetH were 15 and 80 µg protein in lanes 1 and 2, respectively.
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This work was carried out in the frame of the European Commission project BioMinE under the sixth framework program for research and development (European project contract NMP1-CT-500329-1). D.H. acknowledges Fondecyt grant 1050063, DI-UNAB grant 34-06, and a Microsoft-sponsored research award.
Published ahead of print on 14 September 2007. ![]()
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