Impact Factor 3.994

Frontiers reaches 6.4 on Journal Impact Factors

This article is part of the Research Topic

Visualization and Control of Biological Processes

Original Research ARTICLE

Front. Chem., 22 December 2017 | https://doi.org/10.3389/fchem.2017.00127

Identification of Gold Sensing Peptide by Integrative Proteomics and a Bacterial Two-Component System

I-Son Ng1*, You-Jin Yu1, Ying-Chen Yi1, Shih-I Tan1, Bo-Chuan Huang1 and Yin-Lung Han2
  • 1Department of Chemical Engineering, National Cheng Kung University, Tainan, Taiwan
  • 2Green Energy and Environment Research Laboratories, Natural Resources, Technology Division, Industrial Technology Research Institute, Hsinchu, Taiwan

The proteomics strategy was utilized to analyze and identify the gold adsorption proteins from Tepidimonas fonticaldi AT-A2, due to its outstanding performance in gold-binding and recovery. The results showed that three small proteins, including histidine biosynthesis protein (HisIE), iron donor protein (CyaY) and hypothetical protein_65aa, have a higher ability to adsorb gold ions because of the negatively charged domains or metal binding sites. On the other hand, the Salmonella PmrA/PmrB two-component system first replaces the iron (III)-binding motif using the peptide sequence from hypothetical protein_65aa, and this is then used to reveal the sensing and responsiveness to gold metal ions, which is totally different from the performance of traditional gold binding peptide (GBP) on the crystals on the surface of gold (111). We have successfully demonstrated an integrative proteomics and bacterial two-component system to explore the novel GBP. Finally, the heterologous over-expression of GBP by E. coli and the equilibrium of binding capacity for Au(III) have been conducted.

Introduction

The chemical and physical techniques used in the recovery of precious metals (i.e., gold, platinum, silver, and copper) always require energy, as well as abundant chemical inputs or high-cost facilities, while also producing secondary wastes. Compared with chemical and physical approaches, bio-processes such as bio-adsorption, biodegradation, and bioremediation, based on the different kinds of microorganisms, can reduce both energy consumption and pollution, thus offering an eco-friendly, sustainable and multidisciplinary solution to this problem (Klaus-Joerger et al., 2001; Deplanche and Macaskie, 2008). In previous studies, a new strain Tepidimonas fonticaldi sp. nov. AT-A2 isolated from hot spring water (Chen et al., 2013), showed outstanding performance in gold adsorption, with significant specificity (Han et al., 2017).

Marc Wilkins established proteomics technology, which has been widely used since 1995 (Wilkins et al., 1995), becoming a powerful tool due to its comprehensive analysis of the identified proteins (Ling et al., 2015), modifications of proteins (Mann and Jensen, 2003), and even analysis of the metabolic fluxes occurring within cells (Ye et al., 2014; Ng et al., 2016). On the other hand, proteomics approach can be used to clarify and explore the metal-tolerant protein under different stress in plant (Chen et al., 2015). It is thus of interest to identify gold adsorption proteins using proteomics.

Prokaryote microorganisms usually respond to external stress by using a two-component regulatory system when the environment changes. In more detail, self-phosphorylation occurs when histidine protein kinase (HK), which is located on the cell membrane, detects a stimulus in the environment, and then a responsive regulator protein (RR) is activated after the phosphate group transfer HK to RR (Stock et al., 2000). A previous study found that the Salmonella enterica genus has a PmrA/PmrB two-component system to resist cytoplasmic trivalent iron ions or polymyxin B (Chen and Groisman, 2013). PmrB, as a transmembrane protein, has two pairs of specific amino acid sequences “EXXE” which can act as a sensor on the cell surface because self-phosphorylation occurs when sensing foreign ferric ions, and this then transfers the phosphate group to PmrA sequentially (Wösten et al., 2000). PmrA is active after phosphorylation and recognizes a promoter located in front of the PmrC sequence to trigger the downstream signaling gene. The cell can thus grow normally due to this regulation or inhibition of the relevant genes and specific proteins, and so reach a resistant response (Chen and Groisman, 2013).

The successful replacement of iron(III)-binding motif to sense Lanthanide ions occurred in a metal response system constructed by a PmrA/PmrB two-component protein through the signal of green fluorescent protein (GFP) have been successfully demonstrated by He's group (Liang et al., 2013). However, the GFP signal is not sensitive as the super-fold GFP (sfGFP). In this study, we aim to analyse and identify the gold adsorption proteins from T. fonticaldi sp. nov. AT-A2, which has outstanding gold adsorption capability, by integrative proteomics and a bacterial two-component system with a higher fluorescence signal.

Materials and Methods

Separation of Au Binding Protein/Peptide by Ultra-Filtration

We utilize 30 kDa, 3 kDa ultrafilter and His-trap affinity chromatography to separate the protein mixture. We then analyze the gold adsorption ability using SDS-PAGE electrophoresis, and identify the predicted proteins with Q-TOF-MS. We measure the metal concentration using ICP-OES (HORIBA ULTIMA 2000, Japan) and detect the fluorescence intensity with a fluorescence spectrophotometer (Molecular Devices SpectraMax M2, USA). The excitation and emission wavelengths for detection of the green fluorescence intensity were set at 485 nm and 510 nm, respectively.

Metal Adsorption Experiments and ICP-OES Analysis

The 0.32 mL of fresh microbial cells was mixed with 1.28 mL Au3+ metal ions solution in a 2-mL tube, to obtain final concentrations of metal ions at 1 ppm to 80 ppm and a biomass as 0.25 g/L. The suspension was shaken at 70 rpm for 30 min at room temperature, and then centrifuged at 12,000 × g for 5 min to separate the cells and supernatant. The supernatants were filtered using a 0.22 μm membrane followed by ICP-OES (HORIBA ULTIMA 2000, Japan) analysis to determine the un-adsorbed metal concentration.

Proteomics Analysis of Gold Adsorption Proteins

The proteins after ultra-filtration by 30 kDa cut-off were subjected to electrophoresis for further separation followed by MALDI-TOF-TOF analysis using an ABI QSTAR Pulsar i-System (Applied Biosystems, USA). Raw spectral data were further processed using the Data Explorer 4.6 software (Applied Biosystems, USA). The peak list files were used to query the NCBI database using the Mascot program.

Construction of the Two-Component System

The strains, plasmids and primers used in this study are shown in Table 1. BasS gene in the E. coli MG1655 chromosome should be knock-out to obtain the MG1655ΔBasS::Kan for the two-component sensing system. The vector pKD46, primers of BasS-HR-L-Kan and Kan-R-HR-BasS were used for gene knock-out of BasS in relation to the procedure of lambda-red inactivation of chromosomal genes in E. coli (Datsenko and Wanner, 2000). Then, the pMD19T-PBAD-BasRS and pSB1C3-BSpmrC(S)-sfGFP were constructed in DH5α. First, the genome DNA of E. coli MG1655 was extracted and used for amplifying BasRS by primers of BasR/S-KpnI-F and BasR/S-SalI-R. The plasmid backbone, pMD19T-PBAD was amplified from our lab stock, pMD19T-PBAD-lysis, by primers of pBAD-SalI-F and pBAD-KpnI-R. The vector and insert gene were digested with SalI/KpnI. The same procedure and primers of BSpmrC-EcoRI-F and BSpmrC-BamHI-R were used for construction of pSB1C3-BSpmrC(S)-sfGFP, for which the vector came from pSB1C3-sfGFP and the insert [i.e., BSpmrC(S)] was synthesized using IDT integrated DNA technology (USA). The primers of Au-F and Au-R were used to replace the original sequence of the Fe binding site in pMD19T-PBAD-BasRS and thus pMD19T-PBAD-BasRS-65aa was obtained, while the primers of AraC-Amp-F and Amp-R were applied to the insert araC from pKD46, and this was then integrated into pMD19T-PBAD-BasRS to obtain pBAD-BasRS-65aa. All the positive constructions in Table S1 were further confirmed after colony PCR of the target gene, plasmid digestion and sequencing.

TABLE 1
www.frontiersin.org

Table 1. Strains, plasmids, and primers used in this study.

Measurement of the Fluorescence Intensity

The precipitated cells were resuspended in deionized water to a final density, with as 0.5 g/L and 200 μL was added into a 96-well plate. The fluorescence intensity was determined using a fluorescence spectrophotometer (Molecular Devices SpectraMax M2, USA). The excitation and emission wavelengths for detection of the green fluorescence intensity were set at 485 and 510 nm, respectively. All experiments were conducted three times.

Cloning, Recombinant Expression, and Purification of 65aa in E. Coli

The DNA and amino acid sequence of 65aa peptide are shown in Table S2. The target gene is obtained via Integrated DNA Technologis Company (IDT) in USA. The 65aa peptide was amplified by primers of 65aa-EcoRI-F and 65aa-XhoI-R and inserted between the T7 promoter and terminator of expression vector pET28a(+) and introduced into E. coli BL21(DE3). Recombinant colonies grown on LB-Kan plates were checked by colony PCR and double digestion by restriction enzymes EcoRI and XhoI. The cells harboring of pET28a-65aa plasmid were cultured in 100 ml of LB medium supplemented with 50 μg/ml kanamycin on a rotary shaker (200 rpm) at 37°C. When the cell density reached to OD600 at 0.6, it was induced by final concentration of 0.1 mM IPTG and further cultured for 8 h. The cells were washed three times and collected by centrifugation at 10,000 × g 4°C for 10 min. The cell suspension were adjusted to OD600 = 10 and then disrupted by a homogenizer at 30 kpsi (Constant system, OneShot Model, UK). The supernatant was centrifugal once again at 15,000 × g 4°C for 15 min and filtrated through a 0.22 μm membrane. A His-Trap affinity chromatography column was applied in GE Healthcare ÄKTA FPLC chromatography system. Fractions containing recombinant 65aa were eluted with 500 mM imidazole dissolving in sodium phosphate buffer (10 mM, pH 7.4). Finally, excess imidazole in the purified 65aa was removed by ultrafiltration with 3 kDa cut-off.

Protein Expression Determined by SDS-PAGE

The gel was prepared with 0.1% SDS in 10% separating gel and 4% stacking gel. Tris-glycine buffer (pH 8.3) containing 0.1% SDS was used as the electrode buffer. The samples of 10 μl with ~0.1 mg protein were treated with the protein buffer and heated at 95°C for 5 min prior to apply in the gel. The proteins were visualized by staining with Coomassie blue R-250 and scanned on the Image scanner.

Binding Capacity of 65aa

The aqueous Au (III) solution varied from 0 to 1,200 mg/L and added into 50 mg/L protein suspension (i.e., purified 65aa) at a volume ratio of 1:1 and to get the final Au(III) at 0 to 600 mg/L and protein at 25 mg/L, respectively. The experiments of binding capacity were carried out in 15 ml tubes and incubated at room temperature for 1 h with shaker 70 rpm. The residual concentration of Au (III) was measured as the same procedure in aforementioned ICP-OES analysis. The binding affinity (Kd) and Bmax are obtained by fitting the data to the model of specific binding with Hill slope as following equation:

B=BmaxxnKdn+xn

where Bmax is the maximum binding ratio, Kd is the binding affinity and n is the equilibrium constant.

Results and Discussion

The gold adsorption proteins from strain AT-A2 were analyzed and identified using the proteomics strategy. Ultrafiltration and His-trap affinity chromatography were used to separate the protein mixture, and to detect the gold adsorption ability. As shown in Table 2, the 3–30 kDa fractions showed the highest ratio of gold adsorption, i.e., 1.75 mg Au on per mg protein, while the adsorption rate of the initial mixed proteins in supernatant and the proteins with a molecular weight larger than 30 kDa were 0.82 and 0.36, respectively. The protein fractions from 3 to 30 kDa were separated by SDS-PAGE electrophoresis, and then subjected to tandem MS/MS analysis. The results of Mascot protein identifications for three protein fractions [i.e., histidine biosynthesis protein (HisIE), iron donor protein (CyaY) and hypothetical protein_65aa (65aa)] in AT-A2 are summarized in Table 3. According to the predicted structure of proteins by SWISS-MODEL (https://swissmodel.expasy.org/), it was found that HisIE included domain with positive charge ion, while CyaY owned an alpha helix would stabilize the binding energy of metal, and hypothetical protein_65aa was supposed to be metal binding proteins. In summary, the gold binding ability was attributed to the negatively charged domain, alpha helix, or specific metal binding motif, such as sequence of MSCXXC. Compared to the gold binding peptide (GBP) (mhgktqatsgtiqs) discovered by Brown (Brown, 1997), which can detect gold-binding behavior on the structure of Au(111) (Brown et al., 2000), this novel and specific peptide from AT-A2 is used for detection of gold ions in the solution.

TABLE 2
www.frontiersin.org

Table 2. Au adsorption ratio on proteins from different portions of Tepidimonas fonticaldi sp. nov. AT-A2.

TABLE 3
www.frontiersin.org

Table 3. Mascot protein identifications of fractional proteins <30 KDa in Tepidimonas fonticaldi sp. nov. AT-A2.

As shown in Figure 1, the predicted metal binding site in 65aa peptide was analyzed using the Basic Local Alignment Search Tool (BLAST). The MSCGHC site is located at the tenth to fifteenth amino acids in the sequence of 65aa. Therefore, we attempt to establish a responsive system to detect gold ions based on the PmrA/PmrB two-component system.

FIGURE 1
www.frontiersin.org

Figure 1. The metal binding site prediction in 65aa peptide by BLAST.

The iron (III)-binding motif of Salmonella PmrA/PmrB two-component system was first replaced by the lanthanide-binding peptide sequence (Liang et al., 2013). In the resulting PmrA/PmrB/pmrC-GFP, the sensing intensity of GFP is around 100 a.u. at 100 μM Fe3+. We improved the sensitivity by using sfGFP, for which the vector construction included pSB1C3-BSpmrC(S)-sfGFP, pMD19T-PBAD-BasRS, pMD19T-pBAD-BasRS-65aa and pBAD-BasRS-65aa (Figure S1), with the confirmation shown in Figure S2. As a result, the sensitivity with regard to iron detection is 730 a.u. for 1 μM Fe3+ and 750 a.u. for 2 μM Fe3+ (Figure 2). When the amino acids of the iron-binding motif (amino acid 36–64) in PmrB is replaced with 36-QHVFTVDGMSCGHCVKAITQAIRALDPQ-64 from 65aa (Figure 3), the signals of sfGFP were 622 a.u. for 1 μM Au3+and 509 a.u. for 2 μM Au3+, respectively. Moreover, the sfGFP intensity increased to 2,705 a.u. for 1 μM Au3+and 2,738 a.u. for 2 μM Au3+ when the araC gene was strictly regulated under 10 mM arabinose (Figure 2).

FIGURE 2
www.frontiersin.org

Figure 2. Engineered PmrA/PmrB-Au65/PmrC-sfGFP which sensing iron ion (Fe3+) and gold ion (Au3+). The sfGFP fluorescence response to different concentration of metal ions and arabinose concentration under araC gene regulation.

FIGURE 3
www.frontiersin.org

Figure 3. The two component system works on detection of gold ion by a novel peptide (Au-65) which explored by proteomics approach from Tepidimonas fonticaldi AT-A2. Design and construction of gold-responsive system based on PmrA/PmrB has successfully replaced amino acids of iron-binding motif (amino acid 36–64) from PmrB with QHVFTVDGMSCGHCVKAITQAIRALDPQ. The underlined is metal binding site prediction in 65aa.

In fact, the metal protein is usually a short metal-binding residue of only about 70–80 amino acids, which has a highly homologous conserved metal binding sequence of “MX1CX2X3C” (X stands for any amino acid). X1 is usually an amino acid of H, T, D, or S, while X2 and X3 are the small and hydrophobic or polar uncharged residues, such as A, G, or S (Shoshan and Tshuva, 2011). The minor differences in protein binding sites allow significant changes in the binding structure of the entire protein, and thus to sensing a particular metal (Opella et al., 2002). On the other hand, it has been reported that cysteine in the “CXXCGC” sequence region for metal-binding sites has a high affinity for nickel ions (Chan Chung et al., 2008). X-ray absorption spectroscopy experiments showed that the chemical binding of gold ion on egg shell biofilm was not only a simple electrostatic interaction, but also involved a complex ligand reaction (Ishikawa et al., 2002). Therefore, it is not easy to use physical chemistry to define the absorption of protein peptide. As the mechanism of PmrA/PmrB-65aa/pmrC-sfGFP shown in Figure 3, we validated a two-component system for the specific gold adsorbed peptide from AT-A2.

The GBP, 65aa, has further cloned to pET28a plasmid (Figure S3) and was heterologously expressed in E. coli. As shown in Figure 4A, the peptide of 65aa has been successfully expressed under IPTG induction and purified. The gold binding ratio is 38 and 58% for the crude extract protein and purified protein, respectively (Figure 4B). Further analysis of the binding capacity is shown in Figure 5. The equation of the fitting curve is followed by Hill function as below:

B=4.4 (mgmg) × x2.6977.13 (ppm)2.69+x2.69 (R2=0.989)

Where B is binding ratio of adsorbed Au(III) per purified 65 a.a peptide and X is the initial Au(III) concentration. We can find out the maximal binding ratio (i.e., Bmax) is approximately at 4.4 (mg/mg), binding affinity Kd is 77.13 (ppm) and equilibrium constant n is 2.69. The results are close to the protein mixtures from the original strain AT-A2 (Han et al., 2017). However, this 65aa can be easily expressed in E. coli up to 200 mg/L, which the protein concentration is much higher than that from AT-A2 in 15 mg/L.

FIGURE 4
www.frontiersin.org

Figure 4. (A) The SDS-PAGE analysis of recombinant 65aa expression in E. coli. M means protein marker in molecular weight. The pET28a expression is under IPTG induction which (–) no IPTG and (+) with IPTG. (B) Gold binding ratio of 65aa with and without His-Trap affinity chromatography.

FIGURE 5
www.frontiersin.org

Figure 5. Binding capacity of recombinant 65aa at room temperatures. The adsorption data has shown in dot and model fitting is used by Hill function as B = Bmax *Xn/(Kdn+Xn).

Finally, the selectivity of the GBP 65aa for different metal ions was tested in the printed circuit boards (PCBs) wastewater. As the result in Table 4, the gold adsorption was 86.8% which is higher than other elements, indicating that 65aa has high selectivity for Au(III) than Ag(I) and Cu(II).

TABLE 4
www.frontiersin.org

Table 4. Comparison of gold binding peptide 65aa and AT-A2 in recovery of gold, silver, copper in the printed circuit boards (PCBs) wastewater.

Conclusion

The small proteins or peptides of the thermophilic strain T. fonticaldi AT-A2 are more likely to adsorb gold ions. The proteomics approach applied in this work contributed to exploring the gold binding proteins or peptides more effectively. The suspected proteins are in the negatively charged domain, and have alpha helix or a specific metal binding motif, such as MSCXXC. This is the first time that a PmrA/PmrB two-component responsive system has been used to confirm the gold adsorption proteins or peptides as sequence of QHVFTVDGMSCGHCVKAITQAIRALDPQ. Recombinant expression of 65aa in E. coli showed the binding affinity (Kd) and maximum binding ratio (Bmax) was 77.13 ppm and 4.4 mg-Au(III)/mg-protein, respectively. This integration of proteomics and a bacterial two-component system provides an attractive approach to find novel functional proteins, with few limitations.

Author Contributions

I-SN: designed the research, did data analysis and wrote the manuscript; Y-JY: performed the proteomics experiment and initiated the two-component system; S-IT, Y-CY, and B-CH: accomplished the two-component system and did data analysis; Y-LH: provided comments and was involved in discussions.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors are grateful for the financial support provided by the Ministry of Science and Technology (MOST 105-2221-E-006-225-MY3, and MOST 105-2621-M-006-012-MY3) in Taiwan.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fchem.2017.00127/full#supplementary-material

References

Brown, S. (1997). Metal-recognition by repeating polypeptides. Nat. Biotechnol. 15, 269–272. doi: 10.1038/nbt0397-269

PubMed Abstract | CrossRef Full Text | Google Scholar

Brown, S., Sarikaya, M., and Johnson, E. (2000). A genetic analysis of crystal growth. J. Mol. Biol. 299, 725–735. doi: 10.1006/jmbi.2000.3682

PubMed Abstract | CrossRef Full Text | Google Scholar

Chan Chung, K. C., Cao, L., Dias, A. V., Pickering, I. J., George, G. N., and Zamble, D. B. (2008). A high-affinity metal-binding peptide from Escherichia coli HypB. J. Am. Chem. Soc. 130, 14056–14057. doi: 10.1021/ja8055003

CrossRef Full Text | Google Scholar

Chen, C., Song, Y., Zhuang, K., Li, L., Xia, Y., and Shen, Z. (2015). Proteomic analysis of copper-binding proteins in excess copper-stressed roots of two rice (Oryza sativa L.) varieties with different Cu tolerances. PLoS ONE 10:e0125367. doi: 10.1371/journal.pone.0125367

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, H. D., and Groisman, E. A. (2013). The biology of the PmrA/PmrB two-component system: the major regulator of lipopolysaccharide modifications. Annu. Rev. Microbiol. 67, 83–112. doi: 10.1146/annurev-micro-092412-155751

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, W. M., Huang, H. W., Chang, J. S., Han, Y. L., Guo, T. R., and Sheu, S. Y. (2013). Tepidimonas fonticaldi sp. nov., a slightly thermophilic betaproteobacterium isolated from a hot spring. Int. J. Syst. Evol. Microbiol. 63, 1810–1816. doi: 10.1099/ijs.0.043729-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Datsenko, K. A., and Wanner, B. L. (2000). One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc. Natl. Acad. Sci. U.S.A. 97, 6640–6645. doi: 10.1073/pnas.120163297

PubMed Abstract | CrossRef Full Text | Google Scholar

Deplanche, K., and Macaskie, L. E. (2008). Biorecovery of gold by Escherichia coli and Desulfovibrio desulfuricans. Biotechnol. Bioeng. 99, 1055–1064. doi: 10.1002/bit.21688

PubMed Abstract | CrossRef Full Text | Google Scholar

Han, Y. L., Wu, J. H., Cheng, C. L., Nagarajan, D., Lee, C. R., Li, Y. H., et al. (2017). Recovery of gold from industrial wastewater by extracellular proteins obtained from a thermophilic bacterium Tepidimonas fonticaldi AT-A2. Bioresour. Technol. 239, 160–170. doi: 10.1016/j.biortech.2017.05.038

PubMed Abstract | CrossRef Full Text | Google Scholar

Ishikawa, S. I., Suyama, K., Arihara, K., and Itoh, M. (2002). Uptake and recovery of gold ions from electroplating wastes using eggshell membrane. Bioresour. Technol. 81, 201–206. doi: 10.1016/S0960-8524(01)00134-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Klaus-Joerger, T., Joerger, R., Olsson, E., and Granqvist, C. G. (2001). Bacteria as workers in the living factory: metal-accumulating bacteria and their potential for materials science. Trends Biotechnol. 19, 15–20. doi: 10.1016/S0167-7799(00)01514-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, H., Deng, X., Bosscher, M., Ji, Q., Jensen, M. P., and He, C. (2013). Engineering bacterial two-component system PmrA/PmrB to sense lanthanide ions. J. Am. Chem. Soc. 135, 2037–2039. doi: 10.1021/ja312032c

PubMed Abstract | CrossRef Full Text | Google Scholar

Ling, X., Guo, J., Zheng, C., Ye, C., Lu, Y., Pan, X., et al. (2015). Simple, effective protein extraction method and proteomics analysis from polyunsaturated fatty acids-producing micro-organisms. Bioprocess Biosyst. Eng. 38, 2331–2341. doi: 10.1007/s00449-015-1467-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Mann, M., and Jensen, O. N. (2003). Proteomic analysis of post-translational modifications. Nat. Biotechnol. 21, 255–261. doi: 10.1038/nbt0303-255

PubMed Abstract | CrossRef Full Text | Google Scholar

Ng, I. S., Ye, C., Li, Y., and Chen, B. Y. (2016). Insights into copper effect on Proteus hauseri through proteomic and metabolic analyses. J. Biosci. Bioeng. 121, 178–185. doi: 10.1016/j.jbiosc.2015.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Opella, S. J., DeSilva, T. M., and Veglia, G. (2002). Structural biology of metal-binding sequences. Curr. Opin. Chem. Biol. 6, 217–223. doi: 10.1016/S1367-5931(02)00314-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Shoshan, M. S., and Tshuva, E. Y. (2011). The MXCXXC class of metallochaperone proteins: model studies. Chem. Soc. Rev. 40, 5282–5292. doi: 10.1039/c1cs15086c

PubMed Abstract | CrossRef Full Text | Google Scholar

Stock, A. M., Robinson, V. L., and Goudreau, P. N. (2000). Two-component signal transduction. Annu. Rev. Biochem. 69, 183–215. doi: 10.1146/annurev.biochem.69.1.183

PubMed Abstract | CrossRef Full Text | Google Scholar

Wilkins, M. R., Sanchez, J., Gooley, A. A., Appel, R. D., Humphery-Smith, I., Hochstrasser, D. F., et al. (1995). Progress with proteome projects: why all proteins expressed by a genome should be identified and how to do it. Biotechnol. Genet. Eng. Rev. 13:19e50.

PubMed Abstract | Google Scholar

Wösten, M. M., Kox, L. F., Chamnongpol, S., Soncini, F. C., and Groisman, E. A. (2000). A signal transduction system that responds to extracellular iron. Cell 103, 113–125. doi: 10.1016/S0092-8674(00)00092-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Ye, C., Ng, I. S., Jing, K., and Lu, Y. (2014). Direct proteomic mapping for Streptomyces roseosporus NRRL11379 with precursor and insights into daptomycin biosynthesis. J. Biosci. Bioeng. 117, 591–597. doi: 10.1016/j.jbiosc.2013.10.021

CrossRef Full Text | Google Scholar

Keywords: gold sensing peptide, Tepidimonas fonticaldi, proteomics, two-component system, PmrAB

Citation: Ng I-S, Yu Y-J, Yi Y-C, Tan S-I, Huang B-C and Han Y-L (2017) Identification of Gold Sensing Peptide by Integrative Proteomics and a Bacterial Two-Component System. Front. Chem. 5:127. doi: 10.3389/fchem.2017.00127

Received: 09 October 2017; Accepted: 15 December 2017;
Published: 22 December 2017.

Edited by:

Ya Tang Yang, National Tsing Hua University, Taiwan

Reviewed by:

Xiao-Jun Ji, Nanjing Tech University, China
Chih-Ching Huang, National Taiwan Ocean University, Taiwan

Copyright © 2017 Ng, Yu, Yi, Tan, Huang and Han. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: I-Son Ng, yswu@mail.ncku.edu.tw