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A novel gene from the acidophilic bacterium Leptospirillum sp. CF-1 and its role in oxidative stress and chromate tolerance

Biological Research volume 55, Article number: 19 (2022) Cite this article

Abstract

Background

Acidophilic microorganisms like Leptospirillum sp. CF-1 thrive in environments with extremely low pH and high concentrations of dissolved heavy metals that can induce the generation of reactive oxygen species (ROS). Several hypothetical genes and proteins from Leptospirillum sp. CF-1 are known to be up-regulated under oxidative stress conditions.

Results

In the present work, the function of hypothetical gene ABH19_09590 from Leptospirillum sp. CF-1 was studied. Heterologous expression of this gene in Escherichia coli led to an increase in the ability to grow under oxidant conditions with 5 mM K2CrO4 or 5 mM H2O2. Similarly, a significant reduction in ROS production in E. coli transformed with a plasmid carrying ABH19_09590 was observed after exposure to these oxidative stress elicitors for 30 min, compared to a strain complemented with the empty vector. A co-transcriptional study using RT-PCR showed that ABH19_09590 is contained in an operon, here named the “och” operon, that also contains ABH19_09585, ABH19_09595 and ABH19_09600 genes. The expression of the och operon was significantly up-regulated in Leptospirillum sp. CF-1 exposed to 5 mM K2CrO4 for 15 and 30 min. Genes of this operon potentially encode a NADH:ubiquinone oxidoreductase, a CXXC motif-containing protein likely involved in thiol/disulfide exchange, a hypothetical protein, and a di-hydroxy-acid dehydratase. A comparative genomic analysis revealed that the och operon is a characteristic genetic determinant of the Leptospirillum genus that is not present in other acidophiles.

Conclusions

Altogether, these results suggest that the och operon plays a protective role against chromate and hydrogen peroxide and is an important mechanism required to face polyextremophilic conditions in acid environments.

Background

Leptospirillum spp. and other acidophiles face environmental conditions that favor the generation of reactive oxygen species (ROS) [1,2,3,4]. Consequently, they may experience oxidative stress, a very deleterious condition where all major cellular components, such as DNA, RNA, proteins, lipids and cofactors can suffer oxidative damage with substantial negative impacts on cellular physiology and activity. Leptospirillum sp. CF-1 is an aerobic acidophilic iron-oxidizing bacterium with the capacity to survive in extremely acidic natural or man-made environments, and in high concentrations of dissolved metal(loids) such as Cu, Zn, Al, Cd, Cu, Ni, Cr and As [3, 5]. We have investigated the molecular mechanisms that mediate the antioxidant response in Leptospirillum spp., and have established that members of this genus have a highly abundant and efficient thiol/disulfide system [6]. Leptospirillum spp. also possesses antioxidant enzymes, like Dyp-type peroxidases (DyP) [7] and cytochrome c peroxidases (CcP) [8], which are responsible for eliminating the peroxides generated in the cytoplasm and periplasm, respectively. It has also been established that Leptospirillum sp. CF-1 uses a mechanism based on cobalamin (vitamin B12) to protect against oxidative conditions and avoid the induction of oxidative stress [3].

The genome of Leptospirillum sp. CF-1 has been completely sequenced [9], facilitating genomic, transcriptomic and proteomic studies to provide a better understanding of the adaptive mechanisms to extreme environments. Since no genetic systems have been developed for this microorganism to date, omics approaches have become a very important tool in microbial physiology studies. However, genomic data derived from Leptospirillum sp. CF-1 has revealed the existence of a very high number of genes with unknown function (1519 out of 2736; 56%), most of which are present in genetic contexts that are also unknown in terms of function [9]. These hypothetical genes have the regulatory elements required to be transcribed and translated, but the predicted products have no known function or structure, making their biological role and contribution towards adaptation to extreme life impossible to deduce [10]. In the case of strain CF-1, and other strains of the genus, more than half of the annotated genes in its genome still need to be functionally characterized. This proportion is similar to less-characterized microorganisms or extremophiles (> 50%) [11], and substantially higher than in model organisms (25–40%; [12]. For example, in cyanobacterial genomes, 30–60% of the putative proteins are encoded by hypothetical genes depending on the species [10]. A similar profile has been described for extremophilic microorganisms; for example, 36% are hypothetical proteins in Acidithiobacillus ferrooxidans and At. thiooxidans [13, 14], and 47% of protein-coding genes from Leptospirillum ferriphilum are of unknown function [15], a figure that rises to 63% in the case of Ferrovum myxofaciens [16]. Although many hypothetical genes may correspond to non-functional entities called pseudogenes [17], it is also likely that many have functions not yet characterized. As such, they could possess novel biological roles that could allow us to gain a deeper and more comprehensive understanding of the mechanisms involved in adaptation to environmental challenges. Interestingly, transcriptomic and proteomic assays carried out in Leptospirillum sp. CF-1 have shown a large number of hypothetical genes or proteins that were down or up-regulated under oxidative stress conditions (unpublished observations), suggesting a role of these in the adaptation of Leptospirillum spp. to highly oxidative and metal loaded environments.

Bioinformatic studies to characterize hypothetical genes and proteins have traditionally included analyses that search for orthologous genes or sequence similarity to previously characterized proteins, the presence of conserved domains or motifs, the prediction of protein cellular location, and the identification of neighboring genes, among other predictions [18,19,20]. The utilization of in silico approaches to predict the function of hypothetical genes and proteins has been successfully used in several models of bacterial pathogens [21,22,23]. However, since most of these analyses are performed based on comparisons with previously-known protein sequences, structures or domains, it becomes evident that there is insufficient data to obtain novel information about the nature, origin and role of predicted hypothetical proteins in less-characterized or extremophilic microorganisms. Thus, in the present work, we have addressed the study of the hypothetical gene ABH19_09590. This gene was heterologously expressed in Escherichia coli to evaluate its ability to confer protection against oxidative stress. Furthermore, neighboring genes from Leptospirillum sp. CF-1 were studied to assess the genetic context of ABH19_09590. The expression profiles of neighboring genes found in this operon were determined to understand their potential role in chromate tolerance.

Results

Selection of hypothetical genes that are upregulated under oxidative stress conditions

A previous study carried out in Leptospirillum sp. CF-1 showed that oxidative stress induced with ferric ions (260 mM Fe2(SO4)3, Fe3+) for 1 h led to the up-regulation of genes and proteins involved in the synthesis of iron-sulfur centers, protein folding, energy metabolism, synthesis of exopolysaccharides, and metabolism of methionine (data not shown). Interestingly, these experiments also showed changes at the expression level of a number of hypothetical genes and proteins. According to our predictions, 38% of the genes or proteins that were significantly down- or up-regulated corresponded to hypothetical proteins, suggesting that they could be involved in the oxidative stress response of this microorganism and indicating that they could play a pivotal role under environmental stress conditions.

Among all Leptospirillum sp. CF-1 genes that showed statistically reliable regulation of expression levels in transcriptomic assays under ferric ion stress, we chose those whose products were originally annotated as hypothetical proteins and were conserved among other members of the Leptospirillum genus. In this way, we selected four up-regulated genes: ABH19_09590 (4.7 fold-change), ABH19_06740 (3.6 fold-change), ABH19_07700 (2.8 fold-change), and ABH19_010550 (1.8 fold-change). These genes were evaluated by means of heterologous complementation experiments (described below), to confer protection to E. coli against potassium chromate (data not shown). In this initial screen, the ABH19_09590 gene showed a high protective effect, and was thus selected for further analysis and evaluation.

E. coli transformed with ABH19_09590 showed tolerance to heavy metals and oxidative stress conditions

Since no molecular tools exist for Leptospirillum spp., in order to evaluate the functionality of ABH19_09590 gene from strain CF-1, we measured its ability to confer protection against oxidative stress conditions when heterologously-expressed in E. coli. The selected gene was cloned into the arabinose-inducible expression vector pBATopo TA, as described in Methods, and used to transform E. coli (Top 10 strain). The transformed cell culture was grown until OD600 0.5 and expression of the cloned gene was induced with L-arabinose for 1.5 h. Subsequently, the cultures were exposed to oxidative stress culture conditions as described in Methods. The ferric iron initially used to induce oxidative stress in Leptospirillum spp. at acidic pH [3], has a high tendency to precipitate and form aggregates with organic components of the circumneutral medium for E. coli cultivation therefore potentially affecting the quantification of its biological effect in this bacterium. For this reason in this study we chose potassium chromate and hydrogen peroxide to induce oxidative stress. The effect of these as oxidative stress elicitors in Leptospirillum spp. has also been previously reported [3, 24]. In agreement with those previous studies, the exposure of wild type E. coli to 5 mM K2CrO4 or 5 mM H2O2 led to a significant decrease in cell growth (K2CrO4: 50%, and H2O2: 63%) at 12 h, as compared to cells that were not exposed to these oxidant agents (100%; Fig. 1). Interestingly, as shown in Fig. 1A and B, heterologous ABH19_09590 transformation exerted a significant positive effect in restoring cell growth in the presence of 5 mM K2CrO4 (81% at 12 h) and 5 mM H2O2 (87% at 12 h). In this way, these data suggest that ABH19_09590 could be exerting a protective role against the oxidative effect of chromate and ROS.

Fig. 1
figure 1

Growth of E. coli transformed with ABH19_09590 from Leptospirillum sp. CF-1. Cells transformed with plasmid pBADTopo/ABH19_09590 were exposed to A 5 mM K2CrO4, or B 5 mM H2O2. Cell growth was measured each hour at 600 nm absorbance

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ABH19_09590 attenuates ROS generation in E. coli

To determine whether the ABH19_09590 gene product has a suppressive effect on ROS generation, the intracellular ROS levels in E. coli exposed to oxidant agents were measured. As shown in Fig. 2, empty vector cells exposed to 5 mM K2CrO4 or 5 mM H2O2 for 30 min showed significantly increased ROS contents (by 335% and 258%, respectively) as compared to control cells that were not exposed to stress (100%). Interestingly, and consistent with results observed in cell growth, exposure of transformed and induced cells to 5 mM K2CrO4 or 5 mM H2O2 for 30 min, led to a much more minor increase in ROS content (by 120% and 108%, respectively) compared to control cells without exposure (100%). It should be noted that a decrease in intracellular ROS level was not observed in stressed cells harboring the empty pBAD vector. These results suggest that the protein encoded by ABH19_09590 alleviates the cytotoxic effect of oxidative stress elicitors by directly or indirectly scavenging ROS and restoring the redox balance of the cell.

Fig. 2
figure 2

ROS levels of E. coli transformed with ABH19_09590 from Leptospirillum sp. CF-1. Cells were stressed with A 5 mM K2CrO4, or B 5 mM H2O2 for 30 min. Cytoplasmic ROS content is expressed as relative fluorescence units (RFU) of the activated fluorescent probe H2DCFDA per mg of protein

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Analysis of the genetic context of the ABH19_09590 gene

In a previous study, we generated a high-quality sequence of the whole genome of strain CF-1 [9]. For this reason, and in order to obtain additional information on the potential role of the ABH19_09590 gene and its encoded protein, we analyzed its genetic context. Immediately upstream from ABH19_09590, genes that encode for a hypothetical protein (ABH19_09575) and for putative NADH dehydrogenase subunit L (NuoL, ABH19_09585) are found, while downstream, genes encoding a hypothetical protein (ABH19_09595), a possible dihydroxy-acid dehydratase (DHAD, ABH19_09600) and the translational factor Sua5 (ABH19_09605) were detected. The six candidate genes were analyzed to evaluate co-transcription using RT-PCR, in order to define whether ABH19_09590 is contained in an operon. RT-PCR experiments clearly show that ABH19_09585, ABH19_09590, ABH19_09595 and ABH19_09600 are co-transcribed (Fig. 3), demonstrating that they are expressed and form part of an operon that we have called the “och operon” (oxidative stress and chromate response). The physical genetic arrangement of the och operon, including the flanking non-co-transcribed genes (ABH19_09575 and ABH19_09605) is shown in Fig. 3. The co-transcription of these four genes suggests that they are functionally related and similarly activated in response to physiological signals. Therefore, these results strongly suggest the involvement of the four genes of the och operon in the oxidative stress response of Leptospirillum spp.

Fig. 3
figure 3

Genetic organization of the och operon of Leptospirillum sp. CF-1. A Schematic map of the och operon. Primers designed in each intergenic region are indicated below the operon. B RT-PCR amplification of intergenic regions. The negative control corresponds to RT-PCR amplification without reverse transcriptase, whilst the positive control corresponds to standard PCR amplification with genomic DNA. Primer pairs used for amplification are indicated above each panel and the amplification product sizes are indicated below each panel

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The och operon is up-regulated in Leptospirillum sp. CF-1 under oxidative stress

To evaluate the role of the och operon in oxidative defense, the mRNA levels of each of the four genes contained in this operon were evaluated using RT-qPCR assays when Leptospirillum sp. CF-1 was exposed to oxidative stress conditions. Unfortunately, due to the high reactivity between the ferrous ion and hydrogen peroxide, and the subsequent generation of radicals that promote oxidative damage to biomolecules, exposure of iron-oxidizing microorganisms to peroxide usually leads to difficulties in purification of RNA with a quality suitable for performing RT-qPCR experiments. For this reason, oxidative stress induction in Leptospirillum sp. CF-1 was assayed with 5 mM K2CrO4 for 15 and 30 min, without the addition of H2O2. As can be observed in Fig. 4, the transcript levels of the four genes of the och operon increased significantly by 2.8–12.5 fold after 15 min, and by 7.8–23.5 fold after 30 min in cells exposed to potassium chromate. These data strongly suggest a relevant role of the och operon in the physiological oxidative stress response of Leptospirillum sp. CF-1.

Fig. 4
figure 4

Effect of chromate exposure on the relative mRNA levels of the och operon of Leptospirillum sp. CF-1. The relative expression of A ABH19_09585, B ABH19_09590, C ABH19_09595 and D ABH19_9600 encoding genes was evaluated in cells treated with 5 mM K2CrO4 for 15 and 30 min. Data represent the average of three independent experiments (bars indicate the value range). Statistical analysis was carried out by the ANOVA Test

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In-silico predictions of the proteins encoded by the och operon from Leptospirillum sp. CF-1

To characterize the gene products that make up the och operon, an in-silico analysis was performed:

ABH10_09585 (ochA) The protein encoded by the first gene of the operon from strain CF-1 is predicted to contain 553 amino acids with a theoretical molecular mass of 59.6 kDa and a pI of 9.44. The protein is similar to the membrane-bound subunits L (NuoL) of NADH:ubiquinone oxidoreductase (54% similarity to NuoL subunit from Shewanella sp.). NuoL has a role in proton pumping in complex I of the respiratory chain. However, in many bacterial species this protein is a stand-alone Na+/H+ antiporter not coupled with oxidoreduction, but displaying a more general role in multiple resistance mechanisms and pH adaptation [25, 26].

ABH10_09590 (ochB) The analysis of the deduced amino acid sequence of ABH19_09590 of Leptospirillum sp. CF-1 indicates that the predicted encoded protein possesses 823 amino acids with a theoretical molecular mass of 92 kDa. The prediction shows that this protein harbors five transmembrane domains and lacks domains of known function. However, a DUF2309 domain of unknown function is predicted. DUF2309 is a non-characterized, but widely distributed and conserved domain, spanning 748.4 amino acids on average [27]. Interestingly, this predicted DUF from the deduced ABH19_09590 protein possesses a CXXC active-site motif between amino acids 530 and 533. This motif is highly conserved in most DUF2309 domains and is similar to that reported in iron-sulfur proteins, thioredoxins and oxidoreductases [28]. We postulate that the presence of the CXXC motif may contribute to the formation, isomerization, or reduction of disulfide bonds, or determine other redox functions in the ABH10_09590 protein that could explain the in vivo effect on the growth and ROS concentration under oxidative conditions, when expressed in E. coli (Figs. 1 and 2).

ABH10_09595 (ochC) The encoded hypothetical protein is predicted to have 823 amino acids, a mass of 92 kDa and to be located at the cytoplasmic membrane. It does not possess conserved domains or motifs that could give insights into its role in strain CF-1.

ABH10_09600 (ochD) The protein encoded by the fourth gene of the operon corresponds to a putative dihydroxy-acid dehydratase (DHAD), with 558 amino acids and 59.2 kDa. This protein participates in the metabolism of amino acids, and plays a key role in the biosynthesis of valine, leucine and isoleucine from Archaea, Bacteria and Eukarya [29]. Also, it has been shown to be involved in the biosynthesis of D-pantothenate and coenzyme A [30]. More recently, it has been described that up-regulation of the DHAD protein in Staphylococcus sp. #NIOSBK35 facilitates its survival and growth at high concentrations of Cr(VI), conferring the capability to deal with this strong oxidizing agent [31]. It has been proposed that the upregulation of DHAD could be indicative of enhanced cellular activity as a strategy to cope with the stress induced by Cr(VI). According to our inspection, dihydroxy-acid dehydratase from Leptospirillum sp. CF-1 is a predicted cytoplasmic protein with high similarity to DHAD from E. coli (45% identity and 63% similarity).

Interestingly, genes that encode ABH19_09585, ABH19_09590, ABH19_09595, ABH19_09600 proteins are detected in the genomes of a number of other acidophilic microorganisms including Leptospirillum ferriphilum, Acidiferrobacter thiooxydans, Acidibacillus sulfuroxidans, Acidithiobacillus ferrivorans, Acidithiobacillus ferrooxidans, Sulfobacillus acidiphilus, Ferrovum sp., Ferrithrix thermotolerans, Sulfobacillus thermosulfidooxidans, and Acidihalobacter prosperus, among others, with an identity and query cover of over 47% and 74%, respectively (Table 1). However, with the exception of the member from the Leptospirillum genus, in these microorganisms the genes are not organized into operons, and appear dispersed throughout the genome.

Table 1 Comparison of each gene from the och operon of Leptospirillum sp. CF-1 with other acidophiles
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Discussion

Acidophilic bacteria must maintain the intracellular ROS level under control in order to survive the low pH and/or the toxic levels of heavy metals in their environment. This implies that these bacteria must have developed sophisticated mechanisms to reduce the levels of ROS and repair damaged biomolecules. Members of the genus Leptospirillum grow under these environmental conditions in the absence of canonical antioxidant systems, namely superoxide dismutase (SOD), catalase (CAT), and glutathione [1, 3]. However, alternative molecular mechanisms to maintain redox homeostasis have been described in Leptospirillum spp., including the thiol/disulfide system [6], Dyp-type peroxidases (DyP) [7], cytochrome c peroxidases (CcP) [8] and even the use of cobalamin to protect against oxidative conditions [3]. In the present study, we generated experimental evidence that directly or indirectly links the protein encoded by the hypothetic gene ABH19_09590 of Leptospirillum sp. CF-1 with protection against oxidative damage. The results showed that E. coli cells overexpressing the gene product of the ABH19_09590 gene were able to grow after exposure to the oxidant metal ion Cr(VI) and the oxidative specie H2O2, compared to negative controls. In addition, the measurement of the intracellular ROS levels generated by the pro-oxidant agents reinforced the fact that all E. coli cultures were exposed to oxidative stress conditions. Interestingly, the culture carrying the plasmid with ABH19_09590 gene had ROS levels similar to those found in control conditions, supporting its antioxidant function.

Additional hints regarding potential biological functions can arise from data concerning the genomic context of hypothetical genes [11]. Thus, we performed a co-transcription analysis to determine whether the ABH19_09590 was part of an operon. The results demonstrated that this gene is co-transcribed with genes encoding NuoL (ABH19_09585), a hypothetical protein (ABH19_09595) and a DHAD (ABH19_09600), altogether conforming the operon denominated “och”. Additionally, in line with our previous unpublished observations regarding the upregulation of ABH19_09595 under oxidative stress (with ferric iron), strain CF-1 exposed to chromate exhibited significantly enhanced mRNA levels of each gene from this cluster, suggesting the up-regulation of the och operon under the oxidant conditions encountered in these extreme acidic environments. The in-silico analysis of the amino acid sequence of the ABH19_09590 gene revealed the presence of a CXXC active site motif, as found in thiol-disulfide oxidoreductases belonging to the thioredoxin superfamily. Their two cysteines usually exist in an oxidized (disulfide bonded) or reduced (unpaired) state, which allow disulfide bonds to generate changes in the redox state and/or conformation of their target proteins [28, 32], which could explain the protective effects observed. The neighboring gene encodes a putative membrane localized NuoL. As a potential proton pump, in the absence of other proteins belonging to complex I of the respiratory chain, NuoL could be involved in pH adaptation [25, 26]. On the other hand, the DHAD protein could confer the ability of the bacterium to deal with Cr(VI) by enhancing cellular activity [31]. Therefore, this in silico evidence strongly suggests that the och operon could be a response mechanism against oxidative stress, and more specifically to chromate in Leptospirillum sp. CF-1.

Comparative genomics has shown that a substantial fraction of the genes in sequenced genomes encode conserved hypothetical proteins that are found in organisms from several phylogenetic lineages and have no known function [11]. Based on a bioinformatic search within the genomes of different acidophilic iron-oxidizing microorganisms, the genes from the och operon are apparently conserved, which could suggest their importance for subsisting in extreme bioleaching environmental conditions. However, it is important to highlight that only bacteria from the Leptospirillum genus possess an operon-like organization. Therefore, whether the full operon confers better fitness under oxidative conditions to E. coli, compared to each gene alone, is a task that should be addressed.

In bacteria, Cr(VI) is imported via anion transporters, and sulfate importers especially seem to represent a major import pathway due to the structural similarity of these two oxyanions [33, 34]. Inside the cell, Cr(VI) generates active intermediates Cr(V) and/or Cr(IV), free radicals, and Cr(III) as the final product. Cr(III) affects DNA replication, causes mutagenesis, and alters the structure and activity of enzymes, reacting with their carboxyl and thiol groups [34,35,36,37]. Therefore, ROS are generated during the reduction of Cr(VI) to Cr(III). However, several bacterial mechanisms of Cr(VI) detoxification have been described in detail, such as the chromium resistance (chr) operon [33, 38], efflux pumps [38, 39], extracellular Cr(VI) reduction [40,41,42,43], enzymes involved in the detoxifying processes [44,45,46], and repair of DNA lesions [47,48,49,50]. In the case of acidophilic microorganisms, Cr(VI) precipitation has been identified in At. ferrooxidans, which can tolerate Cr(III) up to 75 mM during growth on ferrous sulphate [51]. In addition, Acidiphilum cryptum JF-5 has the ability to reduce Cr(VI) under aerobic and anaerobic conditions via two mechanisms, a NADPH-dependent chromate reductase and a c-type cytochrome (ApcA) [52]. In strain CF-1, no genes related to Cr(VI) resistance were found by bioinformatic searches. However according to the results generated in this work, we propose that the ABH19_09590 gene product could be part of a new chromate resistant mechanism achieved by direct Cr(VI) reduction, or reduction of the ROS generated.

Conclusions

The ABH19_09590 gene from Leptospirillum sp. CF-1 has a role increasing tolerance and attenuating ROS generation when transformed E. coli are exposed to chromate and hydrogen peroxide. The ABH19_09590 gene encodes a DUF2309 domain-containing protein likely involved in thiol/disulfide exchange reactions. This gene forms part of the och operon that also contains genes encoding a NuoL subunit of NADH:ubiquinone oxidoreductase (ABH19_09585), a hypothetical protein (ABH19_09595) and a dihydroxy-acid dehydratase (ABH19_09600). The genes from the och operon are up-regulated in strain CF-1 under chromate exposure. Finally, the och operon is a unique genetic determinant from members of the Leptospirillum genus and may represent an important mechanism needed to face polyextremophilic conditions of acid environments. Additional efforts are required to elucidate the role of hypothetical genes in extremophilic microorganisms.

Methods

Bacterial strains and growth conditions

Leptospirillum sp. CF-1 was grown as described previously by Ferrer et al. [3]. Briefly, it was grown in 9 K BR medium containing 18.4 g/L ferrous sulfate (Fe2SO4·7H2O) at 37 °C with constant stirring at 180 rpm. E. coli Top 10 was grown in Luria–Bertani (LB) under aerobic conditions at 37 °C and constant stirring at 180 rpm. The growth of all recombinant E. coli strains was estimated by measuring optical density (OD) at 600 nm.

DNA isolation

Leptospirillum sp. CF-1 was grown until the late exponential phase. Cells were harvested by centrifugation at 8000 ×g for 15 min and washed once with acid water (10 mM H2SO4) and twice with 10 mM sodium citrate pH 7.0. Genomic DNA 1 was isolated using the Wizard® Genomic DNA Purification Kit (Promega) according to the manufacturer’s instructions and stored at − 20 °C until further use.

Cloning of ABH19_09590 gene in an expression vector

The ABH19_09590 gene was cloned in the pBADTopo TA expression vector (Thermo Fisher Scientific, Walthman, MA, USA) to generate pBADTopo/ABH19_09590. The cloning was performed using the PCR product obtained from ABH19_09590 gene with genomic DNA from Leptospirillum sp. CF-1 as a template and specific primers (Table 2). The ligation product was obtained according to the manufacturer’s instructions, and then introduced into E. coli Top 10 using the CaCl2 transformation protocol [53]. To select transformants, the transformation mix was plated on LB-Agar media containing 100 μg/mL ampicillin.

Table 2 Primers used in this study
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Heterologous expression assay

Wild-type E. coli Top 10, or cells carrying pBadTopo/ABH19_09590 or pBadTopo alone (empty vector) were grown until OD600 = 0.2–0.3. Gene expression was induced with 0.2% L-arabinose during 1.5 h. Afterwards, cultures were diluted (OD600 = 0.2–0.3) with fresh medium containing 0.2% L-arabinose and treated with 5 mM K2CrO4, or 5 mM H2O2. Controls with non-exposed cells were included. Bacterial growth was monitored hourly by spectrophotometry at OD600 for 12 h.

Determination of ROS Levels

The oxidant-sensitive probe H2DCFDA (2′,7′-dichlorodihydrofluorescein diacetate) [54] was used to determine the intracellular level of total ROS according to [3]. For this purpose, 15 mL of wild-type E. coli Top 10, or cells harboring pBadTopo/ABH19_09590, or pBadTopo alone were cultured overnight in LB media containing 100 μg/mL ampicillin. Afterwards, cultures were centrifuged and resuspended in fresh medium with 100 μg/mL ampicillin until OD = 0.5. Subsequently, cell cultures were induced with 0.2% L-arabinose during 1.5 h, and further exposed to oxidative stress with 5 mM K2CrO4 or 5 mM H2O2 for 30 min. Controls with non-exposed cells were included. After stress induction, cells were collected by centrifugation, disrupted by sonication and treated with H2DCFDA fluorescent probe as described in [3]. The emitted fluorescence values were normalized to the respective protein concentration that was determined as described by [55].

RNA isolation and cDNA synthesis

Leptospirillum sp. CF-1 was grown until the late exponential phase. Cells were harvested by centrifugation at 8000 ×g for 15 min and washed once with acid water (10 mM H2SO4) and twice with 10 mM sodium citrate pH 7.0. Washed cells were suspended in 9 K BR medium (without Fe2SO4) and incubated with 5 mM K2CrO4 for 15 or 30 min, or 5 mM H2O2 for 30 min. Cells were collected by centrifugation at 8000 ×g for 10 min, and washed twice with 10 mM sodium citrate pH 7.0. RNA was isolated using the RNeasy Mini Kit (Qiagen). DNA was removed by DNase I treatment (New England, Biolabs) according to the manufacturer’s instructions. cDNA synthesis was carried out with the AffinityScript qPCR cDNA Synthesis kit (Agilent Technologies). The reaction mixture of 20 µl contained First Strand master mix, 0.1 µg/µl random primers, Affinity Script RT/RNase Block enzyme mixture and 1 µg RNA. cDNA synthesis was carried out at 25 °C for 5 min, 42 °C for 15 min and then the enzyme was inactivated at 95 °C for 5 min. cDNA was stored at − 80 °C until further use.

Determination of gene co-transcription of och operon: RT-PCR reaction

Primers for PCR reactions were designed using the available gene sequences of Leptospirillum sp.CF-1 [9]. The GoTaq® DNA Polymerase kit (Promega) was used for PCR amplification according to the provider´s instructions. The characteristics of each primer pair and size of amplicons are shown in Table 2.

Determination of relative levels of RNA: quantitative PCR reaction

Primers of Leptospirillum sp. CF-1 designed for qPCR reactions are shown in Table 2. The KAPA SYBR FAST qPCR kit (Kapabiosystems) was used for qPCR amplification according to the manufacturer’s instructions. The qPCR conditions were an initial denaturation at 95 °C for 5 min, followed by 40 cycles of denaturation (95 °C for 30 s), annealing (60 °C for 20 s) and extension (72 °C for 10 s). All reactions were performed in a StepOne Real-Time PCR system (Applied Biosystems). The relative abundance of each gene versus a constitutively expressed gene (16S rRNA gene) was determined by the comparative Ct (∆∆Ct) method.

In-silico analysis of gene products

Predicted amino acid sequences derived from genes were used to perform a BlastP [56] search of the NCBI non-redundant data base. Only the best hits were accepted as evidence of putative orthologs. Translated proteins were further characterized using bioinformatics tools: primary structure similarity relations were determined using ClustalW 1.8 [57], structural motif predictions were determined using Prosite [58] and peptide domain predictions were determined using ProDom [59]. Theoretical isoelectric points (pI) and molecular weights (MW) were predicted using Compute pI/MW [60], whilst bacterial protein subcellular localization was predicted using PSORTb v3.0 [61].

Statistical analysis

Statistical analysis was performed using the one-way ANOVA test followed by Tukey’s, using GraphPad Prism 5. The differences were considered to be significant at P < 0.05.

Availability of data and materials

Not applicable.

Abbreviations

ROS:

Reactive oxygen species

SOD:

Superoxide dismutase

CAT:

Catalase

DHAD:

Dihydroxy-acid dehydratase

DyP:

Dyp-type peroxidases

CcP:

Cytochrome c peroxidase

OD:

Optical density

LB:

Luria–Bertani

H2DCFDA:

2′,7′-Dichlorodihydrofluorescein diacetate

References

  1. Cárdenas J, Lazcano M, Ossandon F, Corbett M, Holmes D, Watkin E. Draft genome sequence of the iron-oxidizing acidophile Leptospirillum ferriphilum type strain DSM 14647. Genome Announc. 2014;2:e01153-e1214.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Jones GC, Corin KC, Van Hille RP, Harrison STL. The generation of toxic reactive oxygen species (ROS) from mechanically activated sulphide concentrates and its effect on thermophilic bioleaching. Miner Eng. 2011;24(11):1198–208.

    Article  CAS  Google Scholar 

  3. Ferrer A, Rivera J, Zapata C, Norambuena J, Sandoval A, Chávez R, Orellana O, Levicán G. Cobalamin protection against oxidative stress in the acidophilic iron-oxidizing bacterium Leptospirillum group II CF-1. Front Microbiol. 2016;7:748.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Rivera-Araya J, Pollender A, Huynh D, Schlömann M, Chávez R, Levicán G. Osmotic imbalance, cytoplasm acidification and oxidative stress induction support the high toxicity of chloride in acidophilic bacteria. Front Microbiol. 2019;10:2455.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Christel S, Herold M, Bellenberg S, El Hajjami M, Buetti-Dinh A, Pivkin IV, Sand W, Wilmes P, Poetsch A, Dopson M. Multi-omics reveals the lifestyle of the acidophilic, mineral-oxidizing model species Leptospirillum ferriphilum. Appl Environ Microbiol. 2018;84:e02091-e2117.

    Article  PubMed  PubMed Central  Google Scholar 

  6. González D, Álamos P, Rivero M, Orellana O, Norambuena J, Chávez R, Levicán G. Deciphering the role of multiple thioredoxin fold proteins of Leptospirillum sp. in oxidative stress tolerance. Int J Mol Sci. 2020;21(5):1880.

    Article  PubMed Central  CAS  Google Scholar 

  7. Contreras M, Mascayano M, Chávez R, Ferrer A, Paillavil B, Levicán G. Dyp-type peroxidase (DypA) from the bioleaching acidophilic bacterium Leptospirillum ferriphilum DSM 14647. Adv Mater Res. 2015;1130:23–7.

    Article  Google Scholar 

  8. Zapata C, Paillavil B, Chávez R, Álamos P, Levicán G. Cytochrome c peroxidase (CcP) is a molecular determinant of the oxidative stress response in the extreme acidophilic Leptospirillum sp. CF-1. FEMS Microbiol Ecol. 2017;93:fix001.

    Article  CAS  Google Scholar 

  9. Ferrer A, Bunk B, Spröer C, Biedendieck R, Valdés N, Jahn M, Jahn D, Orellana O, Levicán G. Complete genome sequence of the bioleaching bacterium Leptospirillum sp. group II strain CF-1. J Biotechnol. 2016;222:21–2.

    Article  CAS  PubMed  Google Scholar 

  10. Gao L, Pei G, Chen L, Zhang W. A global network-based protocol for functional inference of hypothetical proteins in Synechocystis sp. PCC 6803. J Microbiol Methods. 2015;116:44–52.

    Article  CAS  PubMed  Google Scholar 

  11. Doerks T, Van Noort V, Minguez P, Bork P. Annotation of the M. tuberculosis hypothetical orfeome: adding functional information to more than half of the uncharacterized proteins. PLoS ONE. 2012;7: e34302.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Galperin MY, Koonin EV. ‘Conserved hypothetical’ proteins: prioritization of targets for experimental study. Nucleic Acids Res. 2004;32:5452–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Valdés J, Pedroso I, Quatrini R, Dodson RJ, Tettelin H, Blake R, Eisen JA, Holmes DS. Acidithiobacillus ferrooxidans metabolism: from genome sequence to industrial applications. BMC Genomics. 2008;9:1–24.

    Article  CAS  Google Scholar 

  14. Camacho D, Frazao R, Fouillen A, Nanci A, Lang BF, Apte SC, Baron C, Warren LA. New insights into Acidithiobacillus thiooxidans sulfur metabolism through coupled gene expression, solution chemistry, microscopy, and spectroscopy analyses. Front Microbiol. 2020;11:411.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Cárdenas J, Moya F, Covarrubias P, Shmaryahu A, Levicán G, Holmes D, Quatrini R. Comparative genomics of the oxidative stress response in bioleaching microorganisms. Hydrometallurgy. 2012;127–128:162–7.

    Article  CAS  Google Scholar 

  16. Moya-Beltrán A, Cárdenas P, Covarrubias PC, Issotta F, Ossandon FJ, Grail BM, Holmes DS, Quatrini R, Johnson DB. Draft genome sequence of the nominated type strain of “Ferrovum myxofaciens”, an acidophilic, iron-oxidizing Betaproteobacterium. Genome Announc. 2014;2:2013–4.

    Article  Google Scholar 

  17. Shidhi PR, Nair AS, Suravajhala P. Identifying pseudogenes from hypothetical proteins for making synthetic proteins. Syst Synth Biol. 2014;8(2):169–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Bork P. Powers and pitfalls in sequence analysis: the 70% hurdle. Genome Res. 2000;10(4):398–400.

    Article  CAS  PubMed  Google Scholar 

  19. Koonin E, Galperin M. Sequence – Evolution – Function: computational approaches in comparative genomis. Boston: Kluwer Academic; 2003.

    Book  Google Scholar 

  20. Yelton AP, Thomas BC, Simmons SL, Wilmes P, Zemla A, Thelen MP, Justice N, Banfield JF. A semi-quantitative, synteny-based method to improve functional predictions for hypothetical and poorly annotated bacterial and archaeal genes. PLoS Comput Biol. 2011;7(10): e1002230.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Islam S, Shahik S, Sohel M, Patwary N, Hasan A. In silico structural and functional annotation of hypothetical proteins of Vibrio cholerae O139. Genomics Inform. 2015;13(2):53–9.

    Article  PubMed  PubMed Central  Google Scholar 

  22. School K, Markleivits J, Schram W, Harris L. Predictive characterization of hypothetical proteins in Staphylococcus aureus NCTC 8325. Bioinformation. 2016;12(3):209–20.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Singh G, Singh V. Functional elucidation of hypothetical proteins for their indispensable roles toward drug designing targets from Helicobacter pylori strain HPAG1. J Biomol Struct Dyn. 2017;36(4):906–18.

    Article  PubMed  CAS  Google Scholar 

  24. Farías R, Norambuena J, Ferrer A, Camejo P, Zapata C, Chávez R, Orellana O, Levicán G. Redox stress response and UV tolerance in the acidophilic iron-oxidizing bacteria Leptospirillum ferriphilum and Acidithiobacillus ferrooxidans. Res Microbiol. 2021;172(3): 103833.

    Article  PubMed  CAS  Google Scholar 

  25. Morino M, Suzuki T, Ito M, Krulwich TA. Purification and functional reconstitution of a seven-subunit Mrp-Type Na+/H+ antiporter. J Bacteriol. 2014;196(1):28–35.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. Ito M, Morino M, Krulwich TA. Mrp antiporters have important roles in diverse bacteria and archaea. Front Microbiol. 2017;8:2325.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Jaroszewski L, Li Z, Krishna SS, Bakolitsa C, Wooley J, Deacon AM, Wilson IA, Godzik A. Exploration of uncharted regions of the protein universe. PLoS Biol. 2009;7(9): e1000205.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  28. Fujimoto T, Inaba K, Kadokura H. Methods to identify the substrates of thiol-disulfide oxidoreductases. Protein Sci. 2018;28(1):30–40.

    PubMed  PubMed Central  Google Scholar 

  29. Kim S, Lee SB. Catalytic promiscuity in dihydroxy-acid dehydratase from the thermoacidophilic archaeon Sulfolobus solfataricus. J Biochem. 2006;139(3):591–6.

    Article  CAS  PubMed  Google Scholar 

  30. Radmacher E, Vaitsikova A, Burger U, Krumbach K, Sahm H, Eggeling L. Linking central metabolism with increased pathway flux: l-valine accumulation by Corynebacterium glutamicum. App Environ Microbiol. 2002;68(5):2246–50.

    Article  CAS  Google Scholar 

  31. Shah SS, Damare S. Proteomic response of marine-derived Staphylococcus cohnii NIOSBK35 to varying Cr (VI) concentrations. Metallomics. 2019;11(9):1465–71.

    Article  CAS  PubMed  Google Scholar 

  32. Kadokura H, Beckwith J. Mechanisms of oxidative protein folding in the bacterial cell envelope. Antioxid Redox Signal. 2010;13:1231–46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Ramírez-Díaz MI, Díaz-Pérez C, Vargas E, Riveros-Rosas H, Campos-García J, Cervantes C. Mechanisms of bacterial resistance to chromium compounds. Biometals. 2008;21:321–32.

    Article  PubMed  CAS  Google Scholar 

  34. Sturm G, Brunner S, Suvorova E, Dempwolff F, Reiner J, Graumann P, Bernier- Latmani R, Majzlan J, Gescher J. Chromate resistance mechanisms in Leucobacter chromiiresistens. Appl Environ Microbiol. 2018;84:e02208-e2218.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Suzuki T, Miyata N, Horitsu H, Kawai K, Takamizawa K, Tai Y, Okazaki M. NAD(P)H-dependent chromium(VI) reductase of Pseudomonas ambigua G-1: Cr(VI) intermediate is formed during the reduction of Cr(VI) to Cr(III). J Bacteriol. 1992;174:5340–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Kanmani P, Aravind J, Preston D. Remediation of chromium contaminants using bacteria. Int J Environ Sci Technol. 2012;9:183–93.

    Article  CAS  Google Scholar 

  37. Sobol Z, Schiestl RH. Intracellular and extracellular factors influencing Cr(VI and Cr(III) genotoxicity. Environ Mol Mutagen. 2012;53:94–100.

    Article  CAS  PubMed  Google Scholar 

  38. Branco R, Chung AP, Johnston T, Gurel V, Morais P, Zhitkovich A. The chromate- inducible chrBACF operon from the transposable element TnOtChr confers resistance to chromium(VI) and superoxide. J Bacteriol. 2008;190:6996–7003.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Nies DH, Rehbein G, Hoffmann T, Baumann C, Grosse C. Paralogs of genes encoding metal resistance proteins in Cupriavidus metallidurans strain CH34. J Mol Microbiol Biotechnol. 2006;11:82–93.

    CAS  PubMed  Google Scholar 

  40. Priester JH, Olson SG, Webb SM, Neu MP, Hersman LE, Holden PA. Enhanced exopolymer production and chromium stabilization in Pseudomonas putida unsaturated biofilms. Appl Environ Microbiol. 2006;72:1988–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Gnanamani A, Kavitha V, Radhakrishnan N, Rajakumar GS, Sekaran G, Mandal AB. Microbial products (biosurfactant and extracellular chromate reductase) of marine microorganism are the potential agents reduce the oxidative stress induced by toxic heavy metals. Colloids Surf B Biointerfaces. 2010;79:334–9.

    Article  CAS  PubMed  Google Scholar 

  42. Belchik SM, Kennedy DW, Dohnalkova AC, Wang YM, Sevinc PC, Wu H, Lin YH, Lu HP, Fredrickson JK, Shi L. Extracellular reduction of hexavalent chromium by cytochromes MtrC and OmcA of Shewanella oneidensis MR-1. Appl Environ Microbiol. 2011;77:4035–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Chovanec P, Sparacino-Watkins C, Zhang N, Basu P, Stolz JF. Microbial reduction of chromate in the presence of nitrate by three nitrate respiring organisms. Front Microbiol. 2012;3:416.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Ackerley DF, Gonzalez CF, Keyhan M, Blake R, Matin A. Mechanism of chromate reduction by the Escherichia coli protein, NfsA, and the role of different chromate reductases in minimizing oxidative stress during chromate reduction. Environ Microbiol. 2004;6:851–60.

    Article  CAS  PubMed  Google Scholar 

  45. Ackerley DF, Gonzalez CF, Park CH, Blake R, Keyhan M, Matin A. Chromate-reducing properties of soluble flavoproteins from Pseudomonas putida and Escherichia coli. Appl Environ Microbiol. 2004;70:873–82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Cheng YJ, Xie YM, Zheng J, Wu ZX, Chen Z, Ma XY, Li B, Lin Z. Identification and characterization of the chromium (VI) responding protein from a newly isolated Ochrobactrum anthropi CTS-325. J Environ Sci China. 2009;21:1673–8.

    Article  CAS  PubMed  Google Scholar 

  47. Llagostera M, Guerrero Garrido S, R, Barbe J,. Induction of SOS genes of Escherichia coli by chromium compounds. Environ Mutagen. 1986;8:571–7.

    Article  CAS  PubMed  Google Scholar 

  48. Hu P, Brodie EL, Suzuki Y, McAdams HH, Andersen GL. Whole-genome transcriptional analysis of heavy metal stresses in Caulobacter crescentus. J Bacteriol. 2005;187:8437–49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Miranda AT, Gonzalez MV, Gonzalez G, Vargas E, Campos-Garcia J, Cervantes C. Involvement of DNA helicases in chromate resistance by Pseudomonas aeruginosa PAO1. Mutat Res. 2005;578:202–9.

    Article  CAS  PubMed  Google Scholar 

  50. Decorosi F, Tatti E, Mini A, Giovannetti L, Viti C. Characterization of two genes involved in chromate resistance in a Cr(VI)-hyper-resistant bacterium. Extremophiles. 2009;13:917–23.

    Article  CAS  PubMed  Google Scholar 

  51. Baillet F, Magnin JP, Cheruy A, Ozil P. Chromium precipitation by the acidophilic bacterium Thiobacillus ferrooxidans. Biotechnol Lett. 1998;20(1):95–9.

    Article  CAS  Google Scholar 

  52. Magnuson TS, Swenson MW, Paszczynski AJ, Deobald LA, Kerk D, Cummings DE. Proteogenomic and functional analysis of chromate reduction in Acidiphilium cryptum JF-5, an Fe(III)-respiring acidophile. Biometals. 2010;23(6):1129–38.

    Article  CAS  PubMed  Google Scholar 

  53. Sambrook JF, Russell DW. Molecular cloning a laboratory manual, vol. 1. 3rd ed. New York: Cold Spring Harbor Laboratory Press; 2001.

    Google Scholar 

  54. Davidson JF, Whyte B, Bissinger PH, Schiestl RH. Oxidative stress is involved in heat-induced cell death in Saccharomyces cerevisiae. Proc Natl Acad Sci U S A. 1996;93:5116–21.

  55. Bradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem. 1976;72:248–54.

    Article  CAS  PubMed  Google Scholar 

  56. Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25(17):3389–402.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Sievers F, Wilm A, Dineen D, Gibson TJ, Karplus K, Li W, Lopez R, McWilliam H, Remmert M, Söding J, Thompson JD, Higgins DG. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol. 2011;7:539.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Sigrist CJA, de Castro E, Cerutti L, Cuche BA, Hulo N, Bridge A, Bougueleret L, Xenarios I. New and continuing developments at PROSITE. Nucleic Acids Res. 2012;41:D344–7.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  59. Servant F, Bru C, Carrère S, Courcelle E, Gouzy J, Peyruc D, Kahn D. ProDom: automated clustering of homologous domains. Brief Bioinform. 2002;3:246–51.

    Article  CAS  PubMed  Google Scholar 

  60. Bjellqvist B, Hughes GJ, Pasquali Ch, Paquet N, Ravier F, Sanchez JCh, Frutiger S, Hochstrasser DF. The focusing positions of polypeptides in immobilized pH gradients can be predicted from their amino acid sequences. Electrophoresis. 1993;14:1023–31.

    Article  CAS  PubMed  Google Scholar 

  61. Yu NY, Wagner JR, Laird MR, Melli G, Rey S, et al. PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. Bioinformatics (Oxford, England). 2010;26(13):1608–15.

    Article  CAS  Google Scholar 

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Acknowledgements

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Funding

This work was funded by Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT, from the government of Chile (Grant N° 1170799; 1211386). JR-A and RC received support from DICYT_USACH (Proyecto POSTDOC_DICYT, COD 022043CR_POSTDOC).

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Authors and Affiliations

  1. Biology Department, Faculty of Chemistry and Biology, University of Santiago of Chile (USACH), Santiago, Chile

    Rivera-Araya Javier, Riveros Matías, Chávez Renato & Levicán Gloria

  2. Núcleo de Química y Bioquímica, Facultad de Ciencias, Universidad Mayor, Santiago, Chile

    Ferrer Alonso

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  2. Riveros Matías
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  3. Ferrer Alonso
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JRA and MR designed the studies and performed the experiments. JRA and GL wrote the paper and generated the figures. RCh and AF contributed to the discussion of results and to the revision of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Levicán Gloria.

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Javier, RA., Matías, R., Alonso, F. et al. A novel gene from the acidophilic bacterium Leptospirillum sp. CF-1 and its role in oxidative stress and chromate tolerance. Biol Res 55, 19 (2022). https://doi.org/10.1186/s40659-022-00388-0

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