This study advances our understanding of the acid tolerance mechanism of A. caldus, identifies the key fur gene responsible for acid resistance, and elucidates the correlation between fur and acid resistance, thus contributing to an understanding of the ecological behavior of acidophilic bacteria. These findings provide new insights into the acid resistance process in Acidithiobacillus species, thereby promoting the study of the environmental adaptation of acidophilic bacteria and the design of engineered biological systems.
KEYWORDS: ferric uptake regulator, Acidithiobacillus, acidophiles, acid resistance
ABSTRACT
Acidophiles play a dominant role in driving elemental cycling in natural acid mine drainage (AMD) habitats and exhibit important application value in bioleaching and bioremediation. Acidity is an inevitable environmental stress and a key factor that affects the survival of acidophiles in their acidified natural habitats; however, the regulatory strategies applied by acidophilic bacteria to withstand low pH are unclear. We identified the significance of the ferric uptake regulator (Fur) in acidophiles adapting to acidic environments and discovered that Fur is ubiquitous as well as highly conserved in acidophilic bacteria. Mutagenesis of the fur gene of Acidithiobacillus caldus, a prototypical acidophilic sulfur-oxidizing bacterium found in AMD, revealed that Fur is required for the acid resistance of this acidophilic bacterium. Phenotypic characterization, transcriptome sequencing (RNA-seq), mutagenesis, and biochemical assays indicated that the Acidithiobacillus caldus ferric uptake regulator (AcFur) is involved in extreme acid resistance by regulating the expression of several key genes of certain cellular activities, such as iron transport, biofilm formation, sulfur metabolism, chemotaxis, and flagellar biosynthesis. Finally, a Fur-dependent acid resistance regulatory strategy in A. caldus was proposed to illustrate the ecological behavior of acidophilic bacteria under low pH. This study provides new insights into the adaptation strategies of acidophiles to AMD ecosystems and will promote the design and development of engineered biological systems for the environmental adaptation of acidophiles.
IMPORTANCE This study advances our understanding of the acid tolerance mechanism of A. caldus, identifies the key fur gene responsible for acid resistance, and elucidates the correlation between fur and acid resistance, thus contributing to an understanding of the ecological behavior of acidophilic bacteria. These findings provide new insights into the acid resistance process in Acidithiobacillus species, thereby promoting the study of the environmental adaptation of acidophilic bacteria and the design of engineered biological systems.
INTRODUCTION
Acidophiles are the main drivers for the formation of acid mine drainage (AMD) in natural habitats. Studies in the last several decades have shown that microorganisms in AMD ecosystems present considerable diversity and a high richness of acidophilic taxa (1, 2). Generally, Proteobacteria, Acidithiobacillia, Nitrospira, Firmicutes, Acidobacteria, Actinobacteria, Aquificae, Euryarchaeota, and Crenarchaeota are ubiquitous in AMD ecosystems (3, 4). Knowledge of the microorganisms promoting the material and energy flow of AMD ecosystems provides basic clues for AMD bioleaching and bioremediation, such as the oxidation of iron and sulfur by the acidophilic chemolithoautotrophic microbes, accelerating the biogeochemical cycles of elements and the release of metals (1, 4, 5). In addition, AMDs, similar to other metal-bearing wastes, are a potential secondary source for recovering metals. By using acidophiles in AMD, the biomining industry has developed new technology for extracting metals from ores through microbial oxidation (6). Moreover, acidophile-dependent bioleaching technology has been applied to the treatment of waste containing heavy metals, such as sewage sludge, spent household batteries, mine tailings, and printed circuit boards (7). In AMDs and bioleaching ecosystems, one of the main challenges to these microorganisms is extremely acidic stress (6–8). Thus, a comprehensive understanding of the acid resistance mechanisms of acidophiles would be helpful for the development of the AMD bioleaching industry and bioremediation.
Acidity is the major determinant of microbial community composition in AMD ecosystems. Although species diversity significantly decreases as the pH decreases, high richness of acidophilic taxa, such as Gammaproteobacteria and Nitrospira, was detected in AMD (9, 10). Members of the proteobacterial class Acidithiobacillia are prevalent in AMD and biomining environments because of the ability of these microbes to utilize sulfur and iron and adapt to extremely acidic environments (4). In these environments, Acidithiobacillia can dramatically accelerate the acid generation process; therefore, strains in this class play important roles in the material and energy flow of the AMD ecosystem (4). Moreover, several species of Acidithiobacillia, such as Acidithiobacillus caldus, Acidithiobacillus ferrooxidans, and Acidithiobacillus thiooxidans, have been found to be the most active and dominant bacteria in bioleaching applications (11). Therefore, the acid resistance of acidophiles is important for these microbes to survive and thrive in extremely acidic environments, thus determining their ability to occupy the ecological niche in these systems.
Microorganisms have evolved diverse acid resistance mechanisms and models to prevent cell damage due to acid stress (12–15), such as the efflux of protons (16), proton consumption (17), adjustment of cell membrane composition (18), DNA and protein repair systems (19), generation of reversed transmembrane electrical potential (Δψ) (20), and alkali production (21). However, most acid resistance mechanisms and models of acidophiles are limited to transcriptome, proteome, and bioinformatic analyses (22–25). Extremely acidophilic bacteria use a wide variety of strategies similar to those of neutralophiles for acid resistance that facilitate defense against extreme acid challenges, including more cation transporters and a large number of DNA and protein repair systems (12). Some global regulators are also reported to be involved in the regulation of cytoplasmic proton homeostasis, such as OmpR, RpoS, and Fur in most bacteria (14, 22).
The ferric uptake regulator (Fur), originally identified as a regulator of iron homeostasis in a variety of bacteria, has been reported to be involved in the regulation of the acid stress response in some neutralophiles, such as Salmonella enterica (26), Helicobacter pylori (27), and Campylobacter jejuni (28). Generally, Fur follows the classic regulation pattern in which holo-Fur binds to the Acidithiobacillus caldus ferric uptake regulator (AcFur) box in the promoter to restrict the binding of RNA polymerase and represses gene transcription (29). Moreover, Fur is involved in regulating a wide variety of crucial physiological metabolic pathways, including DNA synthesis (30), the tricarboxylic acid (TCA) cycle (31), biofilm formation (32), and expression of virulence genes, as well as the expression of some microbial genes responsible for the maintenance of iron homeostasis and defense against oxidative stresses (33, 34), in most prokaryotes. In general, the maintenance of cytoplasmic iron levels is regulated by Fur, except in a few Gram-positive and acid-resistant bacteria utilizing the diphtheria toxin repressor (DtxR) to regulate iron homeostasis, such as Corynebacterium diphtheriae (35). The functions of Fur in maintaining iron homeostasis and the response to acid resistance in A. ferrooxidans have been investigated (22, 36); however, the role of Fur in acid-adapted regulation in Acidithiobacillus spp. and the universality of the Fur-dependent regulation in acidophiles are still unclear.
Here, we analyzed the distribution of Fur in acidophiles and compared the sequence and structural features of Fur proteins in acidophilic bacteria. By using A. caldus (MTH-04) as a model, we investigated the AcFur and its role in adaptation to low pH. Fur-regulated phenotypes and genes of A. caldus were determined. Finally, the existence of a Fur-dependent acid adaptation strategy in A. caldus, as well as the significance of Fur for acid resistance regulation in acidophiles, was proposed.
RESULTS
Universality and conservation of Fur in AMD ecosystems.
To investigate the distribution of Fur in AMD bacteria, we first searched for AMD-related microorganisms and their genomes in the National Center for Biotechnology Information (NCBI) database according to previous reports (4, 5). We then determined an e value (<5.00E − 05) and searched for genome and metagenome sequences available in the NCBI database. Ultimately, the results based on the microorganism species, the assembly level of the microbial genome, the e value, and annotation were used for analysis (see Table S1 in the supplemental material). The results showed that about 89% of the AMD bacterial genomes contained fur genes. Interestingly, we found that the genus Acidiphilium (strictly aerobic; optimal pH range, 3 to 3.5; chemoorganotrophic bacteria) does not contain fur genes—for example, Acidiphilium cryptum JF-5 (genome accession number NC_009484.1), Acidiphilium multivorum AIU301 (genome accession number NC_015186.1), Acidiphilium angustum ATCC 35903 (genome accession number NZ_JNJH00000000.1), and Acidiphilium rubrum (genome accession number NZ_FTNE00000000.1). This discovery implied that harboring Fur is a rule rather than an exception in the bacteria of AMD ecosystems. Interestingly, Fur homologs are rarely found in most archaea of AMD communities, except for Thermoplasma volcanium GSS1 and Cuniculiplasma divulgatum PM4. However, most archaea possess the DtxR protein, which is similar to Fur in both protein structure and potential function (see Table S1) (37).
The prominent role of AcFur in the extreme acid resistance of A. caldus.
To illustrate the role of Fur in AMD bacteria, fur deletion (Δfur) and fur-complemented [Δfur(fur)] strains of A. caldus were constructed using markerless knockout/knock-in technology. The Δfur strain exhibited an obvious growth disadvantage at the stationary phase compared with the wild-type (WT) and Δfur(fur) strains of A. caldus (Fig. 1A). The acid shock assay showed that the cell density of the Δfur strain was much lower than that of the WT and Δfur(fur) strains when the pH of the cultures was adjusted to 0.5 on the second day (Fig. 1B). Thus, the results identified the essential role of Fur in the response of A. caldus to low pH. Furthermore, a promoter-probe vector using the reporter luciferase gene (luc) was generated to monitor the expression level of fur under low pH conditions. When the WT strain was used as the host, acid shock caused a significant increase in the luciferase activity at 48 and 72 h after stimulation compared with the nonstimulated group (Fig. 1C). A similar phenomenon appeared in the host Δfur strain (Fig. 1D). These results suggested that the expression level of fur is closely related to the pH of the environment. Moreover, under the condition of acid shock, the luciferase activity of the fur mutant was twice that of the WT strain at 48 and 72 h after stimulation (Fig. 1C and D), indicating that Fur also has an effect on its own expression level in A. caldus when responding to low pH.
Role of the key domains of Fur in acid resistance of A. caldus.
The amino acid sequences of the Fur proteins from acidophiles showed high similarity and conservation in the N-terminal DNA-binding domain, C-terminal dimerization domain, and metal-binding site motifs (29, 38). All Fur sequences of AMD bacteria exhibited a C-terminal extension, in contrast to some neutrophilic bacteria, but the sequence of this C-terminal extension is not conserved in these acidophilic bacteria (see Fig. S2). Thus, the evolutionary conservation of the sequence and structure of Fur proteins in acidophilic bacteria indicates that this protein might play similar roles in AMD bacteria adapting to acidic environments.
To compare and identify the key domains of Fur in A. caldus, an alignment of amino acid sequences of AcFur and modeling of its three-dimensional structure of homology were performed (Fig. 2A and B). Based on the results of multiple sequence alignment, evolutionary analysis, and structural comparison, the key residues (H31, H88, E106, and H123) of AcFur in the binding sites were found to be highly conserved in all orthologs. We then suggested that H31 and H88 constitute the regulatory site (SI domain) responsible for binding to the DNA sequence, and the other two key residues constitute the structural site (SII domain) responsible for the steady conformation (38, 39). The growth analysis showed that the mutation of SI (H31A and H88A) rendered the cells sensitive to low pH, while the substitution of the two key residues in SII (E106A and H123A) did not influence the growth of the Δfur(SII) strain (Fig. 2C). This result indicated that the SI domain is crucial for the maintenance of AcFur function in acid resistance. In addition, to test the role of the sequence of the AcFur C-terminal extension, a complemented Δfur-dC strain lacking the C-terminal extension was constructed. The data showed that the deletion of the C-terminal extension of AcFur resulted in a lower cell density of the Δfur-dC strain after 4 days of stimulation (Fig. 2D).
Fur-regulated genes in A. caldus under acid shock.
To further explore the Fur-mediated acid resistance mechanisms, transcriptome sequencing (RNA-seq) was performed to detect the differentially expressed genes (DEGs) in the Δfur strain after 48 h of acid shock. Overall, a total of 302 genes were differentially expressed in the Δfur mutant compared with the WT strain, including 214 upregulated and 88 downregulated genes (Fig. 3A). The KEGG pathway enrichment of the DEGs indicated that some pathways were influenced by the deletion of fur in A. caldus, and these were mainly related to bacterial chemotaxis, flagellar assembly, sulfur metabolism, nitrogen metabolism, and two-component systems (Fig. 3B). These results suggested that AcFur plays an important role in the response and adaptation of A. caldus to low pH and may affect a variety of physiological processes in A. caldus.
The deletion of the fur gene in A. caldus MTH-04 resulted in significant downregulation of genes involved in cell wall and membrane synthesis, biofilm formation, and the tetrathionate intermediate thiosulfate oxidation (S4I) pathway, such as the indirectly regulated Pel exopolysaccharide genes pelA (A5904_RS00180), pelB (A5904_RS00195), and pelC (A5904_RS00200) (40); the cell wall and membrane synthesis genes bcsZ (A5904_RS08000) and bcsA (A5904_RS08015); a gene (A5904_RS00585) encoding WbeA; the tetrathionate hydrolase gene tetH (A5904_RS03355); and the thiosulfate:quinol oxidoreductase gene doxDA (A5904_RS03360). The absence of the fur gene resulted in the upregulation of some genes participating in iron transport and direct regulation, including the feoABC operator (A5904_RS00865-00875), mntH (A5904_RS04110), and feoP (A5904_RS13315); the flagellar synthesis and chemotaxis genes flhF (A5904_RS04315), flhA (A5904_RS04320), fliP (A5904_RS04340), fliG (A5904_RS04380), cheY (A5904_RS04540), and cheV (A5904_RS04565), etc.; the sulfur-oxidizing enzyme (Sox) genes ccsB (A5904_RS10135), soxA (A5904_RS10140), soxZ (A5904_RS10175), soxY (A5904_RS10180), soxX (A5904_RS10925), and soxB (A5904_RS10950), etc.; and the nitrogen metabolism genes ntrC (A5904_RS02385), nasA (A5904_RS06340), and nirD (A5904_RS06365), etc., in A. caldus MTH-04 (see the supplemental DEG list [fur versus WT] in Data Set S1). In summary, AcFur affected the expression of a variety of crucial physiological genes, suggesting that for A. caldus, the Fur-dependent regulatory network is an essential adaptive mechanism for successfully coping with an extremely acidic environment.
Regulation of iron transporter genes by Fur.
Some known genes and operons are involved in iron transport in A. caldus, such as feoABC and feoP. Unlike the feo operon (feoPABC) in A. ferrooxidans, the feo operon in A. caldus is composed of feoABC (Fig. 4), while feoP is located in another cluster (feoP-znuA-htrB) (Fig. 5A). The Fur binding sequences (AcFur box) were predicted upstream of both the feo operon and feoP genes (Fig. 5A). Gel shift assays showed that Fur could bind to the promoter regions of feoA and feoP (Fig. 5B). Reverse transcription-quantitative PCR (RT-qPCR) indicated that the transcriptional levels of these two genes in the A. caldus WT strain were significantly upregulated after acid shock (Fig. 5C). The mutation of the SI domain resulted in the loss of the ability of Fur to bind to the promoters of feoA and feoP, and the affinity became weaker when the SII domain was mutated (Fig. 5D and E). The absence of fur markedly increased the transcription of feoA and feoP, and the Fur-dependent regulatory effect was restored when fur was complemented with Δfur (Fig. 5F and G). The mutation of SI and SII also affected the Fur-dependent regulation of feoA and feoP. SI mutation resulted in the obvious upregulation of feoA and feoP, which is similar to the regulatory effect caused by the deletion of fur. The influence of the SII mutation on the regulatory effect was much weaker than that of the SI mutation (Fig. 5F and G). Therefore, Fur could directly bind to promoters of feoA and feoP, generating an inhibitory effect on the transcription of iron transport operons. These results from mutagenesis, phenotypic characterization, and function studies suggested that iron homeostasis and pH homeostasis of AcFur are not separable.
Regulatory effect of Fur on biofilm formation and EPS generation.
The differential expression of genes involved in biofilm formation suggested the significance of biofilm in the adaptation of A. caldus to low pH; thus, we tested the influence of fur deletion on biofilm formation by using crystal violet staining. The data showed that the deletion of fur resulted in a decrease in biofilm formation (Fig. 6A). Furthermore, extracellular polymeric substances (EPS) were extracted by using heat treatment, and carbohydrate content in EPS was measured by the anthrone method to assess the effect of the fur gene knockout on EPS. Under acid shock conditions, both the WT and fur deletion strains showed significant increases in EPS production, suggesting the critical role of EPS synthesis in A. caldus adaptation to low pH. The amount of EPS in the Δfur strain was lower than that in the WT both under normal and acidic shock conditions (Fig. 6B), suggesting that the absence of fur could affect EPS synthesis. Therefore, the significant decrease in EPS and biofilm caused by the deletion of fur suggested that AcFur is required for the regulation of biofilm formation and EPS generation under acid shock.
DISCUSSION
In this work, the indispensable role of Fur in A. caldus adapting to low pH was uncovered, thus providing new insights into the adaptive mechanism of acidophiles to extremely acidic environments. Fur and DtxR homologs are ubiquitous in almost all acidophiles of AMD ecosystems (see Table S1), suggesting that both metal response regulators Fur and DtxR are essential for AMD acidophilic bacteria. Fur and DtxR do not exhibit any obvious sequence similarity. However, Fur is similar to DtxR in its structure, such as its DNA-binding domain (37). In addition, both of these proteins regulate iron homeostasis and some basic physiological and metabolic processes (35, 41). In some bacteria, such as Campylobacter jejuni (42) and Escherichia coli (43), Fur senses environmental stimuli and stresses and has a key function. The fact that many endosymbionts and those bacteria that live in cultures within nutrient-rich environments do not possess fur genes (44) suggests that the function of Fur is biased toward environmental response or adaptability. Our experimental evidence demonstrated that disruption of the fur gene reduces the acid tolerance of A. caldus and suggested the significance of Fur in acidophilic bacteria.
The sequences and structures of Fur proteins in AMD bacteria are highly conserved and homologous, but there are some differences from those in other bacteria. Unlike the Fur proteins of some neutrophilic bacteria, the nonconserved C-terminal extensions are universally present in the Fur proteins of AMD bacteria (Fig. 2D; also, see Fig. S2). The deletion of the C-terminal extension resulted in a decrease in the solubility of the recombinant protein (see Fig. S3), which altered the regulatory effect of Fur to some extent (Fig. 2D). In general, Fur proteins contain at least two metal-binding-site motifs, including functional and structural sites (29, 39, 45). We found that the SI domains (H31, H88) of AcFur in the metal-binding sites were highly conserved in all orthologs and confirmed that the SI domain is important for iron transport and acid resistance in A. caldus (Fig. 2A and C and Fig. 5D to G; also, see Fig. S2), suggesting that SI might be a functional site. In addition, the SII domain (E106, H123) is not strictly conserved in many bacteria, suggesting that SII probably plays an auxiliary role in A. caldus (Fig. 2A and C and Fig. 5D to G).
Fur, as a global regulator, is directly or indirectly involved in a variety of crucial physiological and metabolic pathways in many bacteria (30, 32, 46). The RNA-seq data showed that 11.3% of genes were influenced by disruption of the fur gene in A. caldus, under the acid shock condition, including those involved in iron transport, chemotaxis and motility, biofilm formation, and energy system (Fig. 3). In addition, we showed that AcFur directly regulates iron transport and found that AcFur is important for A. caldus growth in an extremely acidic environment. Thus, it could be concluded that the Fur-dependent regulatory mode is probably a favored strategy used by acidophilic bacteria in response to acid stress (Fig. 7).
Most prokaryotic organisms can protect themselves from the environmental stress of low pH by forming biofilms and a complex cell envelope that consists of a plasma membrane, a peptidoglycan cell wall, and an outer membrane (15, 47). Some genes related to cell envelope synthesis were significantly downregulated, suggesting that cell envelope synthesis and components were affected, and this change might increase proton permeability in the Δfur strain. Furthermore, the regulation of Fur on biofilm formation and EPS synthesis was confirmed by transcriptional and biochemical analyses (Fig. 6; also, see the supplemental DEG list [fur versus WT] in Data Set S1). Disruption of the fur gene reduced biofilm formation and EPS synthesis (Fig. 6), which explained the acid-sensitive phenotype of the Δfur mutant to a certain degree (Fig. 1A and B). Flagellum-driven bacterial chemotaxis and motility are important for microorganisms responding to unfavorable environments (48, 49). Because of the important role of the EPS layer in bacterial elemental sulfur oxidation (50), the decrease in EPS synthesis observed in the Δfur mutant probably reduced the available sulfur substrates and resulted in the adjustment of the two important periplasmic thiosulfate-metabolic pathways (the Sox system and the S4I pathway). Because of the close correlation between the Sox system and flagellum in A. caldus (51), the upregulation of the genes involved in these two systems suggested that the mutant strain had to adjust its metabolic flow to increase flagellum biosynthesis to escape unfavorable environments and find suitable habitats. Thus, the deletion of fur caused the readjustment of sulfur metabolism, flagellum biosynthesis, and chemotaxis, indicating the important regulatory role of Fur in A. caldus in response to low pH.
The acquisition of iron may be key to the survival of bacteria at low pH; however, high levels of intracellular free iron probably increase oxidative damage to cells (34, 52). It has been reported that iron transporters have been found in most acidophilic microorganisms and that these enzymes could be stabilized by “iron rivets” in acidophilic archaea (12). The transcription of feoA and feoP surged to a high level during acid stimulation (Fig. 5C), indicating that metal ion transport systems play a certain role in the acid stimulation process. Moreover, the direct regulation of iron transport genes by AcFur was also confirmed in A. caldus. These results suggested that Fur-regulated iron transport could affect the iron homeostasis of A. caldus under acid stimulation, which is a possible reason for the weak acid-adapted ability of the Δfur and Δfur (SI) strains (Fig. 1B and Fig. 2C). In addition, some common acid resistance genes related to l-glutamate (Glu), including those for the γ-aminobutyric acid (GABA) antiporter GadC and the Glu decarboxylase system, and DNA and protein repair system genes (13) were upregulated in the Δfur mutant after the acid shock (see the supplemental DEG list [fur versus WT] in Data Set S1). This result implied that the enhanced activity of these systems could facilitate the survival of the Δfur strain in an extremely acidic environment.
Acidity is not only a challenge for the application of acidophiles but also a basic clue for understanding the ecological behavior of AMD bacteria. Acidification occurs during bioleaching and bioremediation, which can seriously affect bacterial growth and application efficiency. The unique acid-resistant module of the acidophilic bacteria may be a potential target for application to engineering strains, with far-reaching potential applications (15, 53). The findings of our study provide new insights that would augment the current knowledge base pertaining to the acid resistance process in Acidithiobacillus species, and they could also help promote the study of the environmental adaptation of acidophilic bacteria and facilitate the design of engineered biological systems.
MATERIALS AND METHODS
Strains and culture conditions.
All bacterial strains, plasmids, and primers are listed in Table 1. A. caldus MTH-04 and its derivatives were grown in liquid Starkey-S0 inorganic medium (pH 2.5) or on solid Starkey-Na2S2O3 medium (pH 4.8). E. coli strains were grown in Luria-Bertani (LB) broth or on LB agar plates. Ampicillin (Amp), streptomycin (Sm), and kanamycin (Km) were used at 100 μg/ml in the LB medium, with the concentrations doubled in the Starkey medium. Chloramphenicol (Cm) was used at 60 μg/ml in the Starkey medium. The culture conditions were 40°C and 150 rpm for A. caldus MTH-04 and 37°C and 200 rpm for E. coli.
TABLE 1.
Strain, plasmid, or primer | Genotype description or sequencea | Reference or source |
---|---|---|
Strains | ||
A. caldus MTH-04 | Isolated from Tengchong, Yunnan Province, China | Lab stock |
A. caldus MTH-04 Δfur | fur gene deletion | This study |
A. caldus MTH-04 Δfur(fur) | fur gene complementation for Δfur | This study |
A. caldus MTH-04 Δfur(SI) | fur gene complementation for Δfur; H31A H88A of fur | This study |
A. caldus MTH-04 Δfur(SII) | fur gene complementation for Δfur; E106A H123A of fur | This study |
A. caldus MTH-04 Δfur(SI&II) | fur gene complementation for Δfur; H31A H88A E106A H123A of fur | This study |
A. caldus MTH-04 Δfur-dC | fur gene complementation for Δfur; deletion of C-terminal extension of fur | This study |
E. coli DH5α | F− ϕ80dlacZΔM15 Δ(lacZYA-argF)U169 end A1 recA1 hsdR17(rK− mK+) supE44λ-thi-1 gyr96 relA1 phoA | TransGen Biotech |
E. coli SM10 | thr leu hsd recA Kmr RP4–2-Tc::Mu | 61 |
E. coli BL21(DE3) | F− ompT hdsSB(rB− mB−) gal dgmmet (DE3) | TransGen Biotech |
Plasmids | ||
pSDUDI | Ampr Kmr; oriTRP4 | Lab stock |
pMSD1-I-Sce I | Smr; mob+; I-SceI gene | Lab stock |
pSDUDI∷fur (UHA+DHA) | Suicide plasmid for fur deletion | This study |
pSDUDI∷fur (UHA+fur+DHA) | Suicide plasmid for fur complementation | This study |
pSDUDI∷fur (UHA+fur(SI)+DHA) | Suicide plasmid for fur complementation; H31A H88A of fur | This study |
pSDUDI∷fur (UHA+fur(SII)+DHA) | Suicide plasmid for fur complementation; E106A H123A of fur | This study |
pSDUDI∷fur (UHA+fur(SI&II)+DHA) | Suicide plasmid for fur complementation; H31A H88A E106A H123A of fur | This study |
pSDUDI∷fur (UHA+fur-dC+DHA) | Suicide plasmid for fur complementation; deletion of C-terminal extension of fur | This study |
pJRD215-Luc-Cm | Smr Kmr; IncQ Mob+; luc cat | Lab stock |
pJRD215-Pfur-Luc-Cm | Smr Kmr; IncQ Mob+; luc cat; Pfur | This study |
pET-22b | Ampr | Novagen |
pET-22b-Fur | Ampr; fur | This study |
pET-22b-Fur(SI) | Ampr; H31A H88A of fur | This study |
pET-22b-Fur(SII) | Ampr; E106A H123A of fur | This study |
pET-22b-Fur(SI&II) | Ampr; H31A H88A E106A H123A of fur | This study |
pET-22b-dC | Ampr; deletion of C-terminal extension of fur | This study |
Primers | ||
fur UF-XbaI | TTCTAGGCTCTAGAGACAGGGAGCAGGAACG | This study |
fur UR-SpeI | TTCTAGACTAGTCGGGTCGCGCACACCC | This study |
fur DF-SpeI | TTCTAGACTAGTGAAACTCATGGCCAAAGTCTGA | This study |
fur DR-HindIII | TTTCCCAAGCTTGTGGGTTCTGCCAATCTC | This study |
F1 | TCACGATTTGACCGAGCC | This study |
R1 | CCTCAAGGCCACGCTC | This study |
F2 | TTCAGCCTGGGTCTCG | This study |
R2 | CATTGGTCGGGGTGCC | This study |
F3 | ATCTGCATCCCCACTTCT | This study |
R3 | CACTTTTGCGCTTTGGTA | This study |
D-F-fur | GCCAGCCCTTTTCAATTCATCGCTGTGCATGAAACTCATGGCCAAAGTCTGA | This study |
U-R | CGGGTCGCGCACACCC | This study |
fur-F-U | CCTGAGGCGCTCAGGGTGTGCGCGACCCGTCACGATTTGACCGAGC | This study |
fur-R | ATGCACAGCGATGAATTG | This study |
fH31A F | ACCAGCGAGAGCCGCGCTCTCACCGCCGAGGAG | This study |
fH31A R | CTCCTCGGCGGTGAGAGCGCGGCTCTCGCTGGT | This study |
fH88A F | AGCGGCCACCACGATGCCATGGTCTGCACCGCC | This study |
fH88A R | GGCGGTGCAGACCATGGCATCGTGGTGGCCGCT | This study |
fE106A F | TACGACGAGATCCTGGCCGCACGCCAGCAAAGC | This study |
fE106A R | GCTTTGCTGGCGTGCGGCCAGGATCTCGTCGTA | This study |
fH123A F | TTTCATCTCTCGGACGCTAGCCTCTATCTCTAC | This study |
fH123A R | GTAGAGATAGAGGCTAGCGTCCGAGAGATGAAA | This study |
Pfur-F-MluI | CGACGCGT ATCGTCCTTGAACTGCA | This study |
Pfur-R-NdeI | GGAATTCCATATGGAAACTCATGGCCAAAG | This study |
Fur F NdeI | GGAATTCCATATGATGCACAGCGATGAATTG | This study |
Fur R XhoI | CCCTCGAGCGATTTGACCGAGC | This study |
dFur R XhoI | CCCTCGAGTCAGGTTCCGTAGAGATAGA | This study |
FeoABC-F | GCGTTTTACACCCAGGCAC | This study |
FeoABC-R | TTCCACCTGCTCACCTGC | This study |
FeoP-F | GCGTAGGACGTCCTTGATA | This study |
FeoP-R | GCTGGAAGCAAGCATGGTG | This study |
feoAF | CGCCGTCCTTCAAATCG | This study |
feoAR | GTCATCCTGCCTGTTCCC | This study |
feoPF | GGGATCCAAGCTCGGTATAT | This study |
feoPR | CCACTTTCACGACATAGCCA | This study |
Underlining indicates restriction endonuclease sites.
Construction of fur knockout and complementation strains.
The fur gene disruption (Δfur) mutant was constructed using markerless knockout technology as described previously (54). To study the properties of the fur gene in vivo, fur complementation strains were constructed. To construct the complementation strains, markerless knock-in technology was applied to the Δfur strains. First, the suicide plasmid pSDUDI::fur (UHA+fur+DHA) was constructed. The upstream and downstream homologous arms (UHA and DHA) and the fur gene were linked using fusion PCR. Next, single-crossover mutants were selected on solid Starkey-Na2S2O3 medium containing Km and identified by PCR. Finally, the pMSD1-I-SceI plasmid was transferred into the single crossover of A. caldus MTH-04 to induce the second homologous recombination, thereby generating the fur complementation strains. All plasmids, the Δfur strain, and its derivatives of A. caldus MTH-04 were confirmed by PCR and DNA sequencing (Genewiz, Tianjin, China). The construction of the fur mutant complementation strains was performed as described above.
Acid shock assay and transcriptional analysis.
The wild type (WT) and the Δfur mutant of A. caldus MTH-04 were cultivated as described previously (54). Briefly, 1 ml of the treated cell culture (optical density at 600 nm [OD600] = 1.0) was inoculated into 150 ml of Starkey-S0 liquid inorganic medium (pH 2.5). After 3 days of cultivation, the pH of the culture was adjusted to 0.50 using H2SO4. Additionally, a culture without the addition of H2SO4 was used as the control. Total RNA was extracted 48 h after stimulation, and transcriptional analyses via RNA-seq and RT-qPCR were performed as described previously (51). The original analysis of DEGs is listed in the supplemental DEG list (fur versus WT) in Data Set S1.
Expression analysis of AcFur using a luciferase reporter gene.
To investigate the expression levels of the fur gene in A. caldus responding to acid stress, the promoter region of fur (351 bp in front of the fur gene) from the A. caldus MTH-04 chromosome was amplified with the primer pair Pfur-F-MluI–Pfur-R-NdeI and inserted into the MluI- and NdeI-treated pJRD215-Luc-Cm plasmid containing the firefly luciferase (luc) gene and the chloramphenicol acetyltransferase (cat) gene. The generated pJRD215-Pfur-Luc-Cm plasmid was conjugated into WT A. caldus MTH-04 and its Δfur mutant. Luciferase activities were detected at 0, 24, 48, and 72 h after acid shock.
Luciferase activity was measured using a TransDetect single-luciferase (firefly) reporter assay kit. Briefly, a culture of each strain was collected and diluted with phosphate-buffered saline (PBS; 10 mM PO43−, 0.8% NaCl, pH 7.4) to an OD600 of 1. First, 2 ml of cells was washed three times with PBS buffer and harvested by centrifugation at 10,000 × g for 2 min at 4°C. Next, the cells were lysed by adding 200 μl of cell lysis buffer (1×) and incubating for 20 min at 20°C. Finally, after centrifugation at 13,000 × g for 15 min at 4°C, 100 μl of the supernatant was collected, and 90 μl of luciferase reaction reagent was added. Luciferase activity in the samples was measured using an EnSpire luminometer.
Crystal violet biofilm assay and extracellular polymeric substance extraction.
A. caldus MTH-04 strains were incubated in 150 ml of Starkey-S0 medium for 8 days and then collected and diluted with Starkey liquid inorganic medium to an OD600 of 1.0. Subsequently, 1 ml of each type of bacterial cells was inoculated into 30 ml of sulfur coupon-containing Starkey medium. After static cultivation for 8 days, the sulfur coupons were washed gently three times with double-distilled water (ddH2O), dried for 40 min at 50°C, and stained with 1 ml of 1% (wt/vol) crystal violet (CV) solution for 15 min at room temperature. After staining, the sulfur coupons were washed with ddH2O and dried for 40 min at 50°C; 1 ml of 30% acetic acid was added to dissolve the CV, and the absorbance of the suspensions at 590 nm was quantitatively measured using a spectrophotometer (55).
Extracellular polymeric substances (EPS) was extracted using heat treatment (56). The EPS extraction method was adapted from that described by Xiao et al. (57). Briefly, the cells were harvested by centrifugation at 5,000 × g for 10 min at 4°C and washed twice with PBS buffer (10 mM PO43−, 0.8% NaCl, pH 7.4). The washed cell pellets were resuspended in PBS buffer and heated in a water bath at 60°C for 30 min. After centrifugation at 12,000 × g for 30 min at 4°C, the supernatant was filtered using a 0.22-μm filter. Carbohydrate content was measured using the anthrone method (58).
EMSA.
AcFur direct binding of the AcFur box was demonstrated by electrophoretic mobility shift assays (EMSA). Using the AcFur box of Pseudomonas aeruginosa as a pattern, the genome of A. caldus MTH-04 was searched with Virtual Footprint (59), and the potential AcFur box sequences were then selected based on the score. A 200-bp feo operator and a 190-bp feoP promoter containing the AcFur box were amplified from the A. caldus MTH-04 genome. PCR products were purified using a gel extraction kit (Omega), and 0.4 nM DNA was incubated with different concentrations of protein (0, 2, 4, and 8 nM) in Tris-HCl (10 mM, pH 8.0), NaCl (100 mM), and MnCl2 (1 mM) at room temperature for 30 min. The samples were separated in native polyacrylamide gels (5%) containing 0.5× Tris-borate (TBE) buffer and stained with ethidium bromide (EB).
Generation and analysis of the three-dimensional AcFur structure.
The model of AcFur the three-dimensional structure was performed using the Phyre2 web portal (60) and using P. aeruginosa Fur (PDB code 1MZB), Vibrio cholerae Fur (PDB code 2W57), Magnetospirillum gryphiswaldense MSR-1 Fur (PDB code 4RAZ), E. coli Fur (PDB code 2FU4), Francisella tularensis Fur (PDB code 5NBC), Campylobacter jejuni Fur (PDB code 4ETS), etc., as templates. The protein structure model was refined using ModRefiner and evaluated using PSVS (Procheck [https://servicesn.mbi.ucla.edu/PROCHECK/], MolProbity Clashscore [http://molprobity.manchester.ac.uk/], Verify 3D [https://servicesn.mbi.ucla.edu/Verify3d/]) and SAVES v5.0 (Verify 3D, ERRAT, and PROVE [http://servicesn.mbi.ucla.edu/SAVES/]) online servers. The best protein model of AcFur was selected and visualized using PyMOL software (https://pymol.org/2/). Additionally, potential regulator sites in the AcFur sequences were assessed using T-COFFEE (http://tcoffee.crg.cat/) multiple sequence alignment.
Statistical analysis.
All measurements were performed in triplicate, and all assays were repeated at least three times. Statistical analysis was performed using GraphPad Prism7.0 software. Significance was assessed by using an independent-samples t test.
Data availability.
The A. caldus MTH-04 genome sequence and the raw RNA-seq data have been submitted to NCBI with the accession numbers PRJNA318365 and PRJNA577835, respectively. The strain A. caldus MTH-04 was isolated from Tengchong area, Yunnan Province, China, and has been deposited in the China General Microbiological Culture Collection Center (CGMCC) with the accession number CGMCC 1.15711. The mutants of A. caldus MTH-04 constructed in this study were stocked in our lab and will be made available upon request.
Supplementary Material
ACKNOWLEDGMENTS
We thank the National Natural Science Foundation of China (31570036, 31872621, and 31570041), the Project of Taishan Industry Leading Talent in Shandong Province (LJNY201603), and the State Key Laboratory of Microbial Technology Foundation (M2017-01) for the support of this work.
We are grateful to Jun Fu (Shandong University) for providing the plasmid pBR322-Luc containing the luciferase gene. We thank Xin Xin (Shandong University) for assistance and suggestions in constructing and testing the gene mutants. We also thank the Core Facilities Sharing Platform for Life and Environment Sciences of Shandong University, including Rui Wang for fluorescence detection, Cheng-jia Zhang for growth measurement, Nan-nan Dong for providing the bacteriological incubator, and Zhi-feng Li for RT-qPCR instruction. We thank Editage for English language editing.
We declare no conflicts of interest.
Footnotes
Supplemental material is available online only.
REFERENCES
- 1.Kuang JL, Huang LN, Chen LX, Hua ZS, Li SJ, Hu M, Li JT, Shu WS. 2013. Contemporary environmental variation determines microbial diversity patterns in acid mine drainage. ISME J 7:1038–1050. doi: 10.1038/ismej.2012.139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Johnson DB, Hallberg KB. 2005. Acid mine drainage remediation options: a review. Sci Total Environ 338:3–14. doi: 10.1016/j.scitotenv.2004.09.002. [DOI] [PubMed] [Google Scholar]
- 3.Sheng Y, Bibby K, Grettenberger C, Kaley B, Macalady JL, Wang G, Burgos WD. 2016. Geochemical and temporal influences on the enrichment of acidophilic iron-oxidizing bacterial communities. Appl Environ Microbiol 82:3611–3621. doi: 10.1128/AEM.00917-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Chen LX, Huang LN, Mendez-Garcia C, Kuang JL, Hua ZS, Liu J, Shu WS. 2016. Microbial communities, processes and functions in acid mine drainage ecosystems. Curr Opin Biotechnol 38:150–158. doi: 10.1016/j.copbio.2016.01.013. [DOI] [PubMed] [Google Scholar]
- 5.Rohwerder T, Sand W. 2007. Oxidation of inorganic sulfur compounds in acidophilic prokaryotes. Eng Life Sci 7:301–309. doi: 10.1002/elsc.200720204. [DOI] [Google Scholar]
- 6.Hedrich S, Johnson DB. 2014. Remediation and selective recovery of metals from acidic mine waters using novel modular bioreactors. Environ Sci Technol 48:12206–12212. doi: 10.1021/es5030367. [DOI] [PubMed] [Google Scholar]
- 7.Nancharaiah YV, Mohan SV, Lens P. 2016. Biological and bioelectrochemical recovery of critical and scarce metals. Trends Biotechnol 34:137–155. doi: 10.1016/j.tibtech.2015.11.003. [DOI] [PubMed] [Google Scholar]
- 8.Ilyas S, Lee J-C. 2014. Biometallurgical recovery of metals from waste electrical and electronic equipment: a review. ChemBioEng Rev 1:148–169. doi: 10.1002/cben.201400001. [DOI] [Google Scholar]
- 9.Mesa V, Gallego JLR, Gonzalez-Gil R, Lauga B, Sanchez J, Mendez-Garcia C, Pelaez AI. 2017. Bacterial, archaeal, and eukaryotic diversity across distinct microhabitats in an acid mine drainage. Front Microbiol 8:1756. doi: 10.3389/fmicb.2017.01756. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kuang J, Huang L, He Z, Chen L, Hua Z, Jia P, Li S, Liu J, Li J, Zhou J, Shu W. 2016. Predicting taxonomic and functional structure of microbial communities in acid mine drainage. ISME J 10:1527–1539. doi: 10.1038/ismej.2015.201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wang R, Lin JQ, Liu XM, Pang X, Zhang CJ, Yang CL, Gao XY, Lin CM, Li YQ, Li Y, Lin JQ, Chen LX. 2018. Sulfur oxidation in the acidophilic autotrophic acidithiobacillus spp. Front Microbiol 9:3290. doi: 10.3389/fmicb.2018.03290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Baker-Austin C, Dopson M. 2007. Life in acid: pH homeostasis in acidophiles. Trends Microbiol 15:165–171. doi: 10.1016/j.tim.2007.02.005. [DOI] [PubMed] [Google Scholar]
- 13.Krulwich TA, Sachs G, Padan E. 2011. Molecular aspects of bacterial pH sensing and homeostasis. Nat Rev Microbiol 9:330–343. doi: 10.1038/nrmicro2549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lund P, Tramonti A, De Biase D. 2014. Coping with low pH: molecular strategies in neutralophilic bacteria. FEMS Microbiol Rev 38:1091–1125. doi: 10.1111/1574-6976.12076. [DOI] [PubMed] [Google Scholar]
- 15.Liu Y, Tang H, Lin Z, Xu P. 2015. Mechanisms of acid tolerance in bacteria and prospects in biotechnology and bioremediation. Biotechnol Adv 33:1484–1492. doi: 10.1016/j.biotechadv.2015.06.001. [DOI] [PubMed] [Google Scholar]
- 16.Kuhnert WL, Zheng G, Faustoferri RC, Quivey RG Jr. 2004. The F-ATPase operon promoter of Streptococcus mutans is transcriptionally regulated in response to external pH. J Bacteriol 186:8524–8528. doi: 10.1128/JB.186.24.8524-8528.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Gut H, Pennacchietti E, John RA, Bossa F, Capitani G, De Biase D, Grütter MG. 2006. Escherichia coli acid resistance: pH-sensing, activation by chloride and autoinhibition in GadB. EMBO J 25:2643–2651. doi: 10.1038/sj.emboj.7601107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Golyshina OV, Timmis KN. 2005. Ferroplasma and relatives, recently discovered cell wall-lacking archaea making a living in extremely acid, heavy metal-rich environments. Environ Microbiol 7:1277–1288. doi: 10.1111/j.1462-2920.2005.00861.x. [DOI] [PubMed] [Google Scholar]
- 19.Calhoun LN, Kwon YM. 2011. Structure, function and regulation of the DNA-binding protein Dps and its role in acid and oxidative stress resistance in Escherichia coli: a review. J Appl Microbiol 110:375–386. doi: 10.1111/j.1365-2672.2010.04890.x. [DOI] [PubMed] [Google Scholar]
- 20.Richard H, Foster JW. 2004. Escherichia coli glutamate- and arginine-dependent acid resistance systems increase internal pH and reverse transmembrane potential. J Bacteriology 186:6032–6041. doi: 10.1128/JB.186.18.6032-6041.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Griswold AR, Chen YY, Burne RA. 2004. Analysis of an agmatine deiminase gene cluster in Streptococcus mutans UA159. J Bacteriol 186:1902–1904. doi: 10.1128/JB.186.6.1902-1904.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Chao J, Wang W, Xiao S, Liu X. 2008. Response of Acidithiobacillus ferrooxidans ATCC 23270 gene expression to acid stress. World J Microbiol Biotechnol 24:2103–2109. doi: 10.1007/s11274-008-9715-5. [DOI] [PubMed] [Google Scholar]
- 23.Mangold S, rao Jonna V, Dopson M. 2013. Response of Acidithiobacillus caldus toward suboptimal pH conditions. Extremophiles 17:689–696. doi: 10.1007/s00792-013-0553-5. [DOI] [PubMed] [Google Scholar]
- 24.Feng S, Yang H, Wang W. 2015. System-level understanding of the potential acid-tolerance components of Acidithiobacillus thiooxidans ZJJN-3 under extreme acid stress. Extremophiles 19:1029–1039. doi: 10.1007/s00792-015-0780-z. [DOI] [PubMed] [Google Scholar]
- 25.Zhang X, Liu X, Liang Y, Fan F, Zhang X, Yin H. 2016. Metabolic diversity and adaptive mechanisms of iron- and/or sulfur-oxidizing autotrophic acidophiles in extremely acidic environments. Environ Microbiol Rep 8:738–751. doi: 10.1111/1758-2229.12435. [DOI] [PubMed] [Google Scholar]
- 26.Hall HK, Foster JW. 1996. The role of fur in the acid tolerance response of Salmonella typhimurium is physiologically and genetically separable from its role in iron acquisition. J Bacteriology 178:5683–5691. doi: 10.1128/JB.178.19.5683-5691.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gancz H, Censini S, Merrell DS. 2006. Iron and pH homeostasis intersect at the level of Fur regulation in the gastric pathogen Helicobacter pylori. Infect Immun 74:602–614. doi: 10.1128/IAI.74.1.602-614.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Reid AN, Pandey R, Palyada K, Naikare H, Stintzi A. 2008. Identification of Campylobacter jejuni genes involved in the response to acidic pH and stomach transit. Appl Environ Microbiol 74:1583–1597. doi: 10.1128/AEM.01507-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Deng Z, Wang Q, Liu Z, Zhang M, Machado ACD, Chiu T-P, Feng C, Zhang Q, Yu L, Qi L, Zheng J, Wang X, Huo X, Qi X, Li X, Wu W, Rohs R, Li Y, Chen Z. 2015. Mechanistic insights into metal ion activation and operator recognition by the ferric uptake regulator. Nat Commun 6:7642. doi: 10.1038/ncomms8642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Seo SW, Kim D, Latif H, O’Brien EJ, Szubin R, Palsson BO. 2014. Deciphering Fur transcriptional regulatory network highlights its complex role beyond iron metabolism in Escherichia coli. Nat Commun 5:4910. doi: 10.1038/ncomms5910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Friedman DB, Stauff DL, Pishchany G, Whitwell CW, Torres VJ, Skaar EP. 2006. Staphylococcus aureus redirects central metabolism to increase iron availability. PLoS Pathog 2:e87. doi: 10.1371/journal.ppat.0020087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Fillat MF. 2014. The FUR (ferric uptake regulator) superfamily: diversity and versatility of key transcriptional regulators. Arch Biochem Biophys 546:41–52. doi: 10.1016/j.abb.2014.01.029. [DOI] [PubMed] [Google Scholar]
- 33.Porcheron G, Dozois CM. 2015. Interplay between iron homeostasis and virulence: Fur and RyhB as major regulators of bacterial pathogenicity. Vet Microbiol 179:2–14. doi: 10.1016/j.vetmic.2015.03.024. [DOI] [PubMed] [Google Scholar]
- 34.da Silva Neto JF, Braz VS, Italiani VC, Marques MV. 2009. Fur controls iron homeostasis and oxidative stress defense in the oligotrophic alpha-proteobacterium Caulobacter crescentus. Nucleic Acids Res 37:4812–4825. doi: 10.1093/nar/gkp509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Oram DM, Must LM, Spinler JK, Twiddy EM, Holmes RK. 2005. Analysis of truncated variants of the iron dependent transcriptional regulators from Corynebacterium diphtheriae and Mycobacterium tuberculosis. FEMS Microbiol Lett 243:1–8. doi: 10.1016/j.femsle.2004.11.031. [DOI] [PubMed] [Google Scholar]
- 36.Quatrini R, Lefimil C, Veloso FA, Pedroso I, Holmes DS, Jedlicki E. 2007. Bioinformatic prediction and experimental verification of Fur-regulated genes in the extreme acidophile Acidithiobacillus ferrooxidans. Nucleic Acids Res 35:2153–2166. doi: 10.1093/nar/gkm068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Pohl E, Haller JC, Mijovilovich A, Meyer-Klaucke W, Garman E, Vasil ML. 2003. Architecture of a protein central to iron homeostasis: crystal structure and spectroscopic analysis of the ferric uptake regulator. Mol Microbiol 47:903–915. doi: 10.1046/j.1365-2958.2003.03337.x. [DOI] [PubMed] [Google Scholar]
- 38.Butcher J, Sarvan S, Brunzelle JS, Couture JF, Stintzi A. 2012. Structure and regulon of Campylobacter jejuni ferric uptake regulator Fur define apo-Fur regulation. Proc Natl Acad Sci U S A 109:10047–10052. doi: 10.1073/pnas.1118321109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Sheikh MA, Taylor GL. 2009. Crystal structure of the Vibrio cholerae ferric uptake regulator (Fur) reveals insights into metal co-ordination. Mol Microbiol 72:1208–1220. doi: 10.1111/j.1365-2958.2009.06718.x. [DOI] [PubMed] [Google Scholar]
- 40.Diaz M, Castro M, Copaja S, Guiliani N. 2018. Biofilm formation by the acidophile bacterium Acidithiobacillus thiooxidans involves c-di-GMP pathway and Pel exopolysaccharide. Genes (Basel) 9:113. doi: 10.3390/genes9020113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Leyn SA, Rodionov DA. 2015. Comparative genomics of DtxR family regulons for metal homeostasis in Archaea. J Bacteriol 197:451–458. doi: 10.1128/JB.02386-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Crossley RA, Gaskin DJH, Holmes K, Mulholland F, Wells JM, Kelly DJ, van Vliet AHM, Walton NJ. 2007. Riboflavin biosynthesis is associated with assimilatory ferric reduction and iron acquisition by Campylobacter jejuni. Appl Environ Microbiol 73:7819–7825. doi: 10.1128/AEM.01919-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Beauchene NA, Mettert EL, Moore LJ, Keleş S, Willey ER, Kiley PJ. 2017. O2 availability impacts iron homeostasis in Escherichia coli. Proc Natl Acad Sci U S A 114:12261–12266. doi: 10.1073/pnas.1707189114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Ciuraszkiewicz J, Śmiga M, Mackiewicz P, Gmiterek A, Bielecki M, Olczak M, Olczak T. 2014. Fur homolog regulates Porphyromonas gingivalis virulence under low-iron/heme conditions through a complex regulatory network. Mol Oral Microbiol 29:333–353. doi: 10.1111/omi.12077. [DOI] [PubMed] [Google Scholar]
- 45.Dian C, Vitale S, Leonard GA, Bahlawane C, Fauquant C, Leduc D, Muller C, de Reuse H, Michaud-Soret I, Terradot L. 2011. The structure of the Helicobacter pylori ferric uptake regulator Fur reveals three functional metal binding sites. Mol Microbiol 79:1260–1275. doi: 10.1111/j.1365-2958.2010.07517.x. [DOI] [PubMed] [Google Scholar]
- 46.Quatrini R, Jedlicki E, Holmes DS. 2005. Genomic insights into the iron uptake mechanisms of the biomining microorganism Acidithiobacillus ferrooxidans. J Ind Microbiol Biotechnol 32:606–614. doi: 10.1007/s10295-005-0233-2. [DOI] [PubMed] [Google Scholar]
- 47.Welin-Neilands J, Svensater G. 2007. Acid tolerance of biofilm cells of Streptococcus mutans. Appl Environ Microbiol 73:5633–5638. doi: 10.1128/AEM.01049-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Ni B, Ghosh B, Paldy FS, Colin R, Heimerl T, Sourjik V. 2017. Evolutionary remodeling of bacterial motility checkpoint control. Cell Rep 18:866–877. doi: 10.1016/j.celrep.2016.12.088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Zhao K, Liu M, Burgess RR. 2007. Adaptation in bacterial flagellar and motility systems: from regulon members to ‘foraging’-like behavior in E. coli. Nucleic Acids Res 35:4441–4452. doi: 10.1093/nar/gkm456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Zhang R, Neu TR, Li Q, Blanchard V, Zhang Y, Schippers A, Sand W. 2019. Insight into interactions of thermoacidophilic archaea with elemental sulfur: biofilm dynamics and EPS analysis. Front Microbiol 10:896. doi: 10.3389/fmicb.2019.00896. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Yang CL, Chen XK, Wang R, Lin JQ, Liu XM, Pang X, Zhang CJ, Lin JQ, Chen LX. 2019. Essential role of sigma factor RpoF in flagellar biosynthesis and flagella-mediated motility of Acidithiobacillus caldus. Front Microbiol 10:1130. doi: 10.3389/fmicb.2019.01130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Andrews SC, Robinson AK, Rodríguez-Quiñones F. 2003. Bacterial iron homeostasis. FEMS Microbiol Rev 27:215–237. doi: 10.1016/S0168-6445(03)00055-X. [DOI] [PubMed] [Google Scholar]
- 53.Dhakar K, Pandey A. 2016. Wide pH range tolerance in extremophiles: towards understanding an important phenomenon for future biotechnology. Appl Microbiol Biotechnol 100:2499–2510. doi: 10.1007/s00253-016-7285-2. [DOI] [PubMed] [Google Scholar]
- 54.Wang ZB, Li YQ, Lin JQ, Pang X, Liu XM, Liu BQ, Wang R, Zhang CJ, Wu Y, Lin JQ, Chen LX. 2016. The two-component system RsrS-RsrR regulates the tetrathionate intermediate pathway for thiosulfate oxidation in Acidithiobacillus caldus. Front Microbiol 7:1755. doi: 10.3389/fmicb.2016.01755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Cohen D, Mechold U, Nevenzal H, Yarmiyhu Y, Randall TE, Bay DC, Rich JD, Parsek MR, Kaever V, Harrison JJ, Banin E. 2015. Oligoribonuclease is a central feature of cyclic diguanylate signaling in Pseudomonas aeruginosa. Proc Natl Acad Sci U S A 112:11359–11364. doi: 10.1073/pnas.1421450112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Sheng GP, Yu HQ, Li XY. 2010. Extracellular polymeric substances (EPS) of microbial aggregates in biological wastewater treatment systems: a review. Biotechnol Adv 28:882–894. doi: 10.1016/j.biotechadv.2010.08.001. [DOI] [PubMed] [Google Scholar]
- 57.Xiao Y, Zhang E, Zhang J, Dai Y, Yang Z, Christensen HEM, Ulstrup J, Zhao F. 2017. Extracellular polymeric substances are transient media for microbial extracellular electron transfer. Sci Adv 3:e1700623. doi: 10.1126/sciadv.1700623. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Gaudy AF. 1962. Colorimetric determination of protein and carbohydrate. Ind Water Wastes 7:17–22. [Google Scholar]
- 59.Munch R, Hiller K, Grote A, Scheer M, Klein J, Schobert M, Jahn D. 2005. Virtual Footprint and PRODORIC: an integrative framework for regulon prediction in prokaryotes. Bioinformatics 21:4187–4189. doi: 10.1093/bioinformatics/bti635. [DOI] [PubMed] [Google Scholar]
- 60.Kelley LA, Mezulis S, Yates CM, Wass MN, Sternberg M. 2015. The Phyre2 web portal for protein modeling, prediction and analysis. Nat Protoc 10:845–858. doi: 10.1038/nprot.2015.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Simon R, Priefer U, Pühler A. 1983. A broad host range mobilization system for in vivo genetic engineering: transposon mutagenesis in gram negative bacteria. Nat Biotechnol 1:784–791. doi: 10.1038/nbt1183-784. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The A. caldus MTH-04 genome sequence and the raw RNA-seq data have been submitted to NCBI with the accession numbers PRJNA318365 and PRJNA577835, respectively. The strain A. caldus MTH-04 was isolated from Tengchong area, Yunnan Province, China, and has been deposited in the China General Microbiological Culture Collection Center (CGMCC) with the accession number CGMCC 1.15711. The mutants of A. caldus MTH-04 constructed in this study were stocked in our lab and will be made available upon request.