Skip to main content
  • ASM
    • Antimicrobial Agents and Chemotherapy
    • Applied and Environmental Microbiology
    • Clinical Microbiology Reviews
    • Clinical and Vaccine Immunology
    • EcoSal Plus
    • Eukaryotic Cell
    • Infection and Immunity
    • Journal of Bacteriology
    • Journal of Clinical Microbiology
    • Journal of Microbiology & Biology Education
    • Journal of Virology
    • mBio
    • Microbiology and Molecular Biology Reviews
    • Microbiology Resource Announcements
    • Microbiology Spectrum
    • Molecular and Cellular Biology
    • mSphere
    • mSystems
  • Log in
  • My alerts
  • My Cart

Main menu

  • Home
  • Articles
    • Current Issue
    • Accepted Manuscripts
    • COVID-19 Special Collection
    • Archive
    • Minireviews
  • For Authors
    • Submit a Manuscript
    • Scope
    • Editorial Policy
    • Submission, Review, & Publication Processes
    • Organization and Format
    • Errata, Author Corrections, Retractions
    • Illustrations and Tables
    • Nomenclature
    • Abbreviations and Conventions
    • Publication Fees
    • Ethics Resources and Policies
  • About the Journal
    • About AEM
    • Editor in Chief
    • Editorial Board
    • For Reviewers
    • For the Media
    • For Librarians
    • For Advertisers
    • Alerts
    • RSS
    • FAQ
  • Subscribe
    • Members
    • Institutions
  • ASM
    • Antimicrobial Agents and Chemotherapy
    • Applied and Environmental Microbiology
    • Clinical Microbiology Reviews
    • Clinical and Vaccine Immunology
    • EcoSal Plus
    • Eukaryotic Cell
    • Infection and Immunity
    • Journal of Bacteriology
    • Journal of Clinical Microbiology
    • Journal of Microbiology & Biology Education
    • Journal of Virology
    • mBio
    • Microbiology and Molecular Biology Reviews
    • Microbiology Resource Announcements
    • Microbiology Spectrum
    • Molecular and Cellular Biology
    • mSphere
    • mSystems

User menu

  • Log in
  • My alerts
  • My Cart

Search

  • Advanced search
Applied and Environmental Microbiology
publisher-logosite-logo

Advanced Search

  • Home
  • Articles
    • Current Issue
    • Accepted Manuscripts
    • COVID-19 Special Collection
    • Archive
    • Minireviews
  • For Authors
    • Submit a Manuscript
    • Scope
    • Editorial Policy
    • Submission, Review, & Publication Processes
    • Organization and Format
    • Errata, Author Corrections, Retractions
    • Illustrations and Tables
    • Nomenclature
    • Abbreviations and Conventions
    • Publication Fees
    • Ethics Resources and Policies
  • About the Journal
    • About AEM
    • Editor in Chief
    • Editorial Board
    • For Reviewers
    • For the Media
    • For Librarians
    • For Advertisers
    • Alerts
    • RSS
    • FAQ
  • Subscribe
    • Members
    • Institutions
Environmental Microbiology

Silver Ions Caused Faster Diffusive Dynamics of Histone-Like Nucleoid-Structuring Proteins in Live Bacteria

Asmaa A. Sadoon, Prabhat Khadka, Jack Freeland, Ravi Kumar Gundampati, Ryan H. Manso, Mason Ruiz, Venkata R. Krishnamurthi, Suresh Kumar Thallapuranam, Jingyi Chen, Yong Wang
Shuang-Jiang Liu, Editor
Asmaa A. Sadoon
aDepartment of Physics, University of Arkansas, Fayetteville, Arkansas, USA
bMicroelectronics-Photonics Graduate Program, University of Arkansas, Fayetteville, Arkansas, USA
fDepartment of Physics, University of Thi Qar, Thi Qar, Iraq
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Prabhat Khadka
aDepartment of Physics, University of Arkansas, Fayetteville, Arkansas, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jack Freeland
aDepartment of Physics, University of Arkansas, Fayetteville, Arkansas, USA
cDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ravi Kumar Gundampati
cDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ryan H. Manso
cDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mason Ruiz
aDepartment of Physics, University of Arkansas, Fayetteville, Arkansas, USA
dDepartment of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Venkata R. Krishnamurthi
aDepartment of Physics, University of Arkansas, Fayetteville, Arkansas, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Suresh Kumar Thallapuranam
cDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jingyi Chen
bMicroelectronics-Photonics Graduate Program, University of Arkansas, Fayetteville, Arkansas, USA
cDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yong Wang
aDepartment of Physics, University of Arkansas, Fayetteville, Arkansas, USA
bMicroelectronics-Photonics Graduate Program, University of Arkansas, Fayetteville, Arkansas, USA
eCell and Molecular Biology Program, University of Arkansas, Fayetteville, Arkansas, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shuang-Jiang Liu
Chinese Academy of Sciences
Roles: Editor
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1128/AEM.02479-19
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

ABSTRACT

The antimicrobial activity and mechanism of silver ions (Ag+) have gained broad attention in recent years. However, dynamic studies are rare in this field. Here, we report our measurement of the effects of Ag+ ions on the dynamics of histone-like nucleoid-structuring (H-NS) proteins in live bacteria using single-particle-tracking photoactivated localization microscopy (sptPALM). It was found that treating the bacteria with Ag+ ions led to faster diffusive dynamics of H-NS proteins. Several techniques were used to understand the mechanism of the observed faster dynamics. Electrophoretic mobility shift assay on purified H-NS proteins indicated that Ag+ ions weaken the binding between H-NS proteins and DNA. Isothermal titration calorimetry confirmed that DNA and Ag+ ions interact directly. Our recently developed sensing method based on bent DNA suggested that Ag+ ions caused dehybridization of double-stranded DNA (i.e., dissociation into single strands). These evidences led us to a plausible mechanism for the observed faster dynamics of H-NS proteins in live bacteria when subjected to Ag+ ions: Ag+-induced DNA dehybridization weakens the binding between H-NS proteins and DNA. This work highlighted the importance of dynamic study of single proteins in live cells for understanding the functions of antimicrobial agents in bacteria.

IMPORTANCE As so-called “superbug” bacteria resistant to commonly prescribed antibiotics have become a global threat to public health in recent years, noble metals, such as silver, in various forms have been attracting broad attention due to their antimicrobial activities. However, most of the studies in the existing literature have relied on the traditional bioassays for studying the antimicrobial mechanism of silver; in addition, temporal resolution is largely missing for understanding the effects of silver on the molecular dynamics inside bacteria. Here, we report our study of the antimicrobial effect of silver ions at the nanoscale on the diffusive dynamics of histone-like nucleoid-structuring (H-NS) proteins in live bacteria using single-particle-tracking photoactivated localization microscopy. This work highlights the importance of dynamic study of single proteins in live cells for understanding the functions of antimicrobial agents in bacteria.

INTRODUCTION

Due to the rise of antibiotic resistance of bacteria (1), alternatives to traditional antibiotics have been attracting broad interest and attention toward their use in fighting against bacterial infections (2, 3). A promising candidate among the available alternatives is silver (Ag), which has long been known and used as an antimicrobial agent, dating back as far as ancient Greece, the Roman Empire, and ancient Egypt (4). In the past decades, the potent antimicrobial properties of Ag have been revisited in various forms, such as ions, surface coatings, and nanoparticles, and exciting progress has been made (5–16). For example, it has been reported that the types of damage in bacteria caused by Ag are multimodal, including DNA condensation and damage, free radical generation (reactive oxygen species [ROS]), and loss of ATP production (17–22). However, the exact mechanism underlying the antimicrobial activity of Ag is still not fully understood (17). Most of the studies in the existing literature have relied on traditional bioassays for mechanistic studies. Little effort has been made in studying the molecular dynamics inside the bacteria; therefore, temporal resolution for understanding the damage in bacteria caused by Ag is still missing (17).

In this work, we used superresolution fluorescence microscopy (23–26) in combination with single-particle tracking (27–33) to investigate and understand the effects of Ag+ ions on the dynamic diffusion of individual proteins at the molecular level in live Escherichia coli bacteria. The protein in this study is the histone-like nucleoid-structuring (H-NS) protein (34), which was chosen for the following three reasons. First, the H-NS protein is an essential protein in E. coli, as determined by Gerdes et al. (35), and serves as a universal negative regulator, regulating (mostly negatively) ∼5% of the bacterial genome (Fig. 1a) (34, 36). Second, the H-NS protein is tightly associated with various biological processes in the bacteria that respond to damage due to Ag, such as modulating the synthesis and stability of RpoS (a central protein/regulator for general stress responses) (37–39), compacting DNA and causing DNA condensation (40, 41), modulating the production of deoxyribonucleotides and synthesis of DNA (42), and enhancing the cellular defenses against ROS (37). Third, connections between H-NS proteins and antimicrobial effects of Ag+ ions have been reported in the literature. For example, a recent study based on chemical genetic screening showed that deletion of the hns gene led to higher sensitivity of the bacteria when subjected to Ag+ treatment (43). Also, nanoscale spatial reorganization of H-NS proteins to form denser and larger clusters in bacteria subjected to Ag+ treatment has been observed (44).

FIG 1
  • Open in new tab
  • Download powerpoint
FIG 1

Faster dynamics of H-NS proteins in live bacteria caused by Ag+ ions. (a) Illustration of H-NS proteins’ key activities. H-NS is a DNA-binding protein, consisting of a DNA-binding domain, a linker, and an oligomerization domain that allow H-NS to form polymers and DNA bridging. (b) Illustration of sptPALM for tracking H-NS proteins in live E. coli. (c) Examples of trajectories of H-NS proteins in individual E. coli in a region of interest (ROI) of 8 by 8 μm2. (d) Ensemble mean-square displacement (eMSD) of H-NS proteins in live E. coli bacteria in the absence of Ag+ ions (closed black circles [0 h; untreated]) or in bacteria treated by 10 μM Ag+ ions for 2 h, 4 h, 6 h, and 8 h. Symbols represent averages of eMSD data over E. coli cells (the number of cells ranges from 158 to 678). Error bars represent the standard errors of the means (SEM). Dashed lines are fitted curves using the equation 〈Δr2〉=4Dτα , where D is the generalized diffusion coefficient and α is the anomalous scaling exponent. Inset shows the same data plotted in log-log scale, with a slope of 1/2 indicated. (e) Dependence of the generalized diffusion coefficient D on the treatment time T. Error bars represent fitting errors. (f, g) Log-linear distributions of instantaneous velocities vx (f) and vy (g) of H-NS proteins in the absence (black) and presence of 10 μM Ag+ ions (colored lines) for different durations. The orange arrows highlight the increase of the probability of higher velocities after Ag+ treatment.

Using single-particle-tracking photoactivated localization microscopy (sptPALM) (Fig. 1b) (27, 28) with a spatial resolution of 20 nm and a temporal resolution of 45 ms, we observed that treating the bacteria with Ag+ ions led to faster dynamics of H-NS proteins. While the motion of H-NS proteins in live bacteria after Ag+ treatment remains subdiffusive, the generalized diffusion coefficient of H-NS proteins increased when the bacteria were exposed to Ag+ ions for longer periods of time. Analyzing the step sizes of the diffusion of H-NS proteins showed that treatment with Ag+ ions caused higher instantaneous velocities of this protein. To understand the mechanism of the observed faster dynamics of H-NS, an electrophoretic mobility shift assay (EMSA) was performed with purified H-NS proteins and double-stranded DNA. It was found that Ag+ ions weakened the binding between the H-NS proteins and the DNA. Measurements with isothermal titration calorimetry (ITC) suggested that Ag+ ions interacted directly with DNA. Furthermore, we examined the effect of the DNA-Ag interaction using our recently developed sensors based on bent-DNA molecules and found that Ag+ ions induced dehybridization of double-stranded DNA (i.e., dissociation into single strands). Based on these evidences, we provide a plausible mechanism for the faster dynamics of H-NS proteins in live Ag-treated bacteria. This work presents a dynamic study at the molecular level on the antimicrobial mechanism of Ag+ ions, with both high spatial resolution and temporal resolution. It is an important milestone for furthering our understanding the interactions of Ag with bacteria, in motion and quantitatively.

RESULTS

Faster diffusive dynamics of H-NS proteins in live bacteria caused by Ag+ ions.Single-particle-tracking photoactivated localization microscopy (sptPALM) was used to monitor the dynamic diffusion of H-NS proteins in live E. coli cells, as illustrated in Fig. 1b and described in Materials and Methods (32). Two representative movies (excerpts) from the sptPALM experiments are shown in Movies SM1 and SM2 in the supplemental material. Examples of diffusive trajectories of H-NS proteins in individual untreated bacteria in an area of 8 by 8 μm2 are shown in Fig. 1c. The lengths of the H-NS trajectories, with an average length of ∼3 frames and maximum lengths above 100 frames, are not apparently affected by Ag+ treatment (Fig. S1). From the trajectories, we calculated the ensemble mean-square displacements (eMSD), 〈Δr2(τ)〉=〈[r(t+τ)−r(t)]2〉 , where r(t) is the position of individual proteins at time t (i.e., trajectory) and τ is the lag time. The calculated eMSD curves are shown in Fig. 1d, where the error bars (smaller than the symbols in some cases) represented the standard errors of the means (SEM) (32). It is noted that short trajectories were not removed in the calculations of eMSD for two reasons. First, the determination of the cutoff length for a “short” trajectory is arbitrary and prone to human bias. Second, although short trajectories affect the accuracy for calculating the individual MSDs (iMSDs) from single trajectories for single molecules, the eMSD is expected to be unaffected due to the ensemble averaging.

We observed that the eMSD curves for H-NS proteins were higher in the treated bacteria than in the untreated ones (Fig. 1d), suggesting that the diffusive dynamics of H-NS proteins in live bacteria became faster after treatment with Ag+ ions, as the eMSD is positively related to the diffusion coefficient, 〈Δr2(τ)〉=4Dτα in two dimensions, where D is the generalized diffusion coefficient and α is the anomalous scaling exponent. This observation can be confirmed in the log-log plots of the eMSD curves (Fig. 1d, inset), where the y intercepts represent the diffusion coefficients and the slopes indicate the anomalous scaling exponent α as log〈Δr2〉=log4D+α⋅logτ . The eMSD curves were shifted upwards for treated bacteria, showing higher y intercepts and confirming that the generalized diffusion coefficients of the H-NS proteins were higher in bacteria treated with Ag+ ions. In contrast, we observed that the anomalous scaling exponent α was not significantly affected by the treatment with 10 μM Ag+ ions, as the slopes of eMSD curves in the log-log scale were similar for the untreated and Ag+-treated bacteria (∼0.5) (Fig. 1d, inset).

To quantify the faster diffusive dynamics caused by Ag+ ions, we fitted the eMSD data using the equation 〈Δr2〉=4Dτα and obtained the fitted generalized diffusion coefficients for the untreated bacteria and bacteria treated with 10 μM Ag+ ions for 2, 4, 6, and 8 h. It is noted that our previous results showed that treating E. coli with Ag+ ions at 10 μM extended the lag time of the bacterial culture, while the growth rate remained the same (44, 45). As shown by the results in Fig. 1e, the diffusion coefficient steadily increased as the treatment time increased. Fitting the data with a linear line suggested that the diffusion coefficient increased [by (3.5 ± 0.5) × 10−4 μm2/s per hour]. After 8 h, a significant increase of 56% in the diffusion coefficient was observed. We point out that, as the concentration of the added Ag+ ions (10 μM) is too low compared to the ionic strength of the medium (∼100 mM Na+/K+ and 2 mM Mg2+), simple ionic effects are unlikely to result in the observed increase of the diffusion coefficient.

To further examine the faster dynamics of H-NS proteins in live bacteria, we estimated the instantaneous velocities of the proteins from the trajectories using v(t) = Δr(t)/Δt, where Δr is the displacement and Δt is the time interval between adjacent data points in the trajectories. Note that, as we used a memory of 1 frame (Mem = 1) when linking trajectories, Δt could be either 45 ms (time interval between adjacent frames) or 90 ms. The histograms of the x and y components of the instantaneous velocities (vx and vy) are shown in Fig. 1f and g. Similar to our previous observations (32), the distributions of the velocities deviated from the Gaussian distribution at higher velocities, confirming the abnormality of dynamic diffusion of H-NS proteins in live bacteria. Furthermore, we observed that the fraction of larger velocities was higher after subjecting bacteria to Ag+ ions than in the untreated bacteria (Fig. 1f and g). This observation suggested that, upon Ag+ treatment, the probability of H-NS proteins travelling with higher velocities increased. Our previous study suggested that the deviation of the distribution of the instantaneous velocities from the Gaussian distribution is likely due to H-NS proteins’ binding to/unbinding from DNA (32). Therefore, the observed changes in the velocity distributions suggested that treating live bacteria with Ag+ ions probably affected the binding of H-NS proteins on DNA.

Two parameters are important for identifying and linking trajectories of molecules: the maximum displacement by which a particle can move between frames (Maxdisp) and the maximum number of frames during which a particle can vanish (the memory [Mem]) (27–33). To assess the robustness of the observations, we used different values for these two parameters (Maxdisp ranging from 400 to 560 nm and Mem ranging from 0 to 2). We observed that results with the different parameters (Fig. S2, S3, and S4) were similar to the ones using Maxdisp of 480 nm and Mem of 1 (shown in Fig. 1). Therefore, the observation of the faster diffusion of H-NS proteins caused by Ag+ ions is robust.

Weaker binding of H-NS proteins to DNA due to Ag+ ions.The observed faster dynamics of H-NS proteins due to Ag+ treatment led to a hypothesis that Ag+ ions promoted dissociation of H-NS proteins from the chromosomal DNA of the bacteria. To test this hypothesis, we expressed and purified H-NS proteins (with a purity of ∼50% based on quantification using PAGE) and performed an in vitro electrophoretic mobility shift assay (EMSA) (46). Representative gel images showing the bands of unbound DNA are presented in Fig. 2a. In each gel, the concentration of DNA was fixed and the concentration of H-NS proteins increased from 0 to 433 μM (from left to right). The concentration of Ag+ ions changed in different gels, ranging from 0 to 1 mM (Fig. 2a). In the absence of Ag+ ions (0 mM), the amount of unbound DNA decreased steadily as the concentration of H-NS proteins increased, indicating the binding of H-NS proteins to the double-stranded DNA. The bands for the unbound DNA almost disappeared for the last two lanes (corresponding to 346 and 433 μM, respectively). In contrast, the bands of unbound DNA at the same concentration of H-NS proteins showed higher intensities in the presence of Ag+ ions (Fig. 2a).

FIG 2
  • Open in new tab
  • Download powerpoint
FIG 2

Electrophoretic mobility shift assay (EMSA) for measuring the binding between H-NS proteins and double-stranded DNA in the absence and presence of Ag+ ions. (a) Examples of EMSA gels for assays of H-NS proteins in the absence (0 mM) and presence of Ag+ ions (0.1 mM, 0.6 mM, and 1.0 mM). In each gel, the concentrations of DNA and Ag+ ions were fixed, while the concentration of H-NS protein increased linearly from left to right of the gel (0, 87 μM, 173 μM, …, 433 μM). (b) Dependence of the percentage of unbound DNA on the concentration of Ag+ ions in the presence of 433 μM H-NS proteins (right-most lanes in the experiment whose results are shown in panel a). (c) Dependence of the normalized amount of unbound DNA on the concentration of H-NS proteins in the absence (0.0 mM) or in the presence of Ag+ ions (concentrations in mM are as shown in the key). Dashed lines are fitted curves using the equation pu = pu0 − k · c, where pu is the percentage of unbound DNA and c is the concentration of H-NS proteins. (d) Dependence of the fitted slopes (k) from the experiment whose results are shown in panel c on the concentration of Ag+ ions. Error bars represent fitting errors.

We quantified the intensities of the unbound DNA bands, from which the percentages of unbound DNA were calculated as follows: pu(c) = I(c)/I(0), where I(c) is the intensity of the unbound DNA band in the presence of H-NS proteins at a concentration of c and I(0) is the intensity of the unbound DNA band without H-NS proteins on the same gel. At constant concentrations of Ag+ ions (i.e., comparing bands in the same gel in Fig. 2a), the percentage of unbound DNA decreased linearly as the concentration of H-NS proteins increased (Fig. 2c), confirming the binding of H-NS proteins on DNA. At constant concentrations of H-NS proteins (i.e., comparing bands in the last lanes of different gels in Fig. 2a), the percentage of unbound DNA increased steadily as the concentration of Ag+ went up from 0 to 1 mM (Fig. 2b). In other words, Ag+ treatment led to less DNA being bound by the H-NS proteins.

It is worthwhile to point out a key difference between our EMSA and conventional EMSAs commonly used in studies in the literature (46–48): the concentrations of DNA and proteins were not around the dissociation constant (KD). The rationale for our nonconventional EMSA is 3-fold. First, the conventional EMSA is not suitable for our purpose in this study. Instead of measuring the absolute binding affinity between H-NS proteins and DNA (usually reported by the dissociation constant), it was desired to compare the effects of Ag+ ions on the binding affinity. Therefore, the experiments were designed so that all the conditions (i.e., the concentrations of DNA and proteins) except the concentration of Ag+ ions were kept constant. Second, the kinetics from the binding reaction equation is valid and can be analytically solved for the concentrations of DNA and proteins that are far from KD. For the binding of H-NS proteins (P) on DNA (D), D+P⇌DP , the concentration of unbound DNA is simply[D]=12([D]0−[P]0−KD)+12([D]0+[P]0−KD)2−4[D]0[P]0 where [D]0 and [P]0 are the initial concentrations of DNA and proteins, respectively. Third, the binding reaction equation predicts that the dependence of the amount of unbound DNA [D] on the initial concentration of proteins [P]0 (low enough) is roughly linear (in linear scale) for a wide range of dissociation constants KD, [D] ≈ [D]0 − k[P]0 (Fig. S5a). Although an analytical relation between k and KD is not trivial, this parameter k is negatively related to the dissociation constant KD (the higher KD is, the lower k is, as shown in Fig. S5b). As a result, the negative slopes k could be used to equivalently report the binding affinity of H-NS proteins on DNA. The negative slopes k were extracted by fitting the EMSA data with lines (Fig. 2c). We observed that k decreased as the concentration of Ag+ ions increased (Fig. 2d). This observation suggested that the dissociation constant KD increased at higher concentrations of Ag+ ions, again indicating that Ag+ ions weakened the binding of H-NS proteins on duplex DNA.

Dehybridization of bent duplex DNA induced by Ag+ ions.Our results showed that Ag+ ions weaken the binding of H-NS proteins on double-stranded DNA. A further question is how Ag+ ions affect the binding between DNA and H-NS proteins. It is possible that both DNA and H-NS interact with Ag+ ions, as suggested by previous studies. First, DNA has also been reported to interact with Ag+ ions. In addition to the electrostatic interactions, Ag+ ions bind to cytosine-cytosine (C-C) mismatch base pairs selectively (49–51), possibly resulting in chain slippage (52). Second, it has been reported that Ag+ ions interact with thiol groups in proteins (e.g., cysteine) and peptides containing motifs of HXnM or MXnH (H, histidine; M, methionine; X, other amino acids) (53–55). On the other hand, the H-NS protein does not contain any HXnM or MXnH motifs but has a single cysteine in the dimerization domain, instead of the linker and DNA-binding domain (36, 56); therefore, the interaction of H-NS and Ag+ ions is expected to have a minimal effect on the binding of the protein on DNA. Based on these previous results, we hypothesize that Ag+ ions affect the DNA hybridization, resulting in partial dehybridization (i.e., dissociation of double-stranded DNA into single strands) or a tendency toward dehybridization and weakening the binding between DNA and H-NS proteins.

Direct interaction between DNA and Ag+ ions was confirmed by isothermal titration calorimetry (ITC) using short linear double-stranded DNA of 25 bp. The isothermogram representing the Ag+-DNA binding suggests that the metal ions interact with DNA, albeit weakly (Fig. 3a). The Ag+-DNA binding is exothermic and proceeds with modest evolution of heat. The heat exchanges were observed to be more than four times those of the controls for the first few injections (Fig. 3b and d) and then to decrease to reach plateau at ∼25 injections (Fig. S6). Although the two strands are fully complementary to each other, four possible C-C mis-pairs may be formed by one-base slippage, mediated by Ag+ ions. Therefore, this result seems to correspond with the number of possible C-C mis-pairs in the DNA (49–51). Fitting the ITC data using the binding model for one set of sites (i.e., assuming all the binding sites on the DNA for Ag+ ions are equal and have the same binding affinity) gave a binding constant of K = (5.29 ± 3.37) × 104 M−1, indicating a weak interaction between the Ag+ ions and the DNA, and a heat change of ΔH = −12.63 ± 3.66 kcal/mol, confirming that the binding of Ag+ ions on the DNA was an exothermic process (Fig. S6). It is noted that the nonspecific electrostatic interactions between the negatively charged DNA and the Ag+ cations (57) are expected to contribute to the ITC results, which complicates the further quantitative analysis of DNA-ion interactions (58).

FIG 3
  • Open in new tab
  • Download powerpoint
FIG 3

Direct interaction between Ag+ ions and double-stranded DNA measured by isothermal titration calorimetry (ITC), in which 0.2 mM Ag+ ions was titrated into DNA at pH 7.4 in 0.2 mM Tris-HCl and 0.25 mM NaCl at 25°C in 10 mM HEPES buffer. (a) 1 μM DNA. (b) No DNA. The injection volume was 1.3 μl, with a 1-min interval between injections. (c, d) Additional control experiments were performed by titrating HEPES buffer (c) or 1 μM DNA (d) into HEPES buffer.

Next, we attempted to directly probe the dissociation of double-stranded DNA into single strands induced by Ag+ ions, which remains a challenge for two reasons. First, direct interactions between Ag+ ions and DNA might not be strong enough to open up the double strands under normal conditions. Second, there exist competing effects of Ag+ ions, including electrostatic interactions between positively charged Ag+ ions and negatively charged DNA, which are expected to stabilize the double-stranded DNA. As a result, Gogoi et al. ran gel electrophoresis on plasmid DNA from Ag-treated bacteria, but no direct effects were observed (59). In addition, when we treated short, linear, double-stranded DNA with Ag+ ions at concentrations ranging from 0 to 90 μM, we did not observed any dehybridization of the linear double-stranded DNA (Fig. 4b) and the intensities for the bands of the double-stranded DNA did not change significantly (Fig. 4d, red squares) (60).

FIG 4
  • Open in new tab
  • Download powerpoint
FIG 4

Dehybridization of bent double-stranded DNA induced by Ag+ ions. (a) Self-assembly of a circular bent double-stranded DNA that was used in this study to amplify and probe the effect of Ag+ ions on double-stranded DNA. (b) An example gel with linear double-stranded DNA in the presence of 0 to 90 μM Ag+ ions. (c) An example gel with bent double-stranded DNA in the presence of 0 to 90 μM Ag+ ions. (d) Dependence of normalized intensities of the bands from the experiments whose results are shown in panels b and c on the concentrations of Ag+ ions (0 to 90 μM). The symbols in this plot correspond to bands indicated by the same symbols in panels b and c. (e) Fluorescence intensities of bands of single-stranded DNA (Iss) stained with SYBR safe as a function of their amount (xss, black circles), which was fitted by using the equation Iss=A×xssv (blue dashed curve, v = 0.69 ± 0.02). Based on the intensity of the band of the bent double-stranded DNA at 10 pmol (red cross) on the same gel, the equivalent amount of the bent DNA was determined from the fitting equation and used to estimate the correction factor, β ≈ 0.52. Top-left inset, bent double-stranded DNA (B) at 10 pmol and single-stranded DNA (SS) at various concentrations (1 to 40 pmol) on the same gel. Bottom-right inset, the same data in log-log scale. (f) Dependence of the fraction of dehybridization (ϕdh) on the concentration of Ag+ ions (0 to 90 μM) for bent double-stranded DNA, ϕdh = βIS/(βIS + ID), where β = 0.52 is the measured correction factor and IS and ID are the normalized intensities of the bands for the single-stranded DNA due to dehybridization (indicated by the green triangle in panel c) and for the bent double-stranded DNA (indicated by the blue circle in panel c), respectively. Linear fitting of the data (blue dashed line) resulted in a slope of (0.44 ± 0.05)% per μM. (g) Dependence of the fraction of dehybridization (ϕdh) on the concentration of Ag+ ions (from 0 to 90 μM) for bent double-stranded DNA using different correction factors as indicated in the key: β = 0.4, 0.7, 1.0, and 1.1. The dashed lines show linear fitting, which resulted in slopes ranging from (0.38 ± 0.02)% per μM (with β = 0.4) to (0.61 ± 0.04)% per μM (with β = 1.1).

To overcome this challenge in testing our hypothesis, we exploited our recently developed method using bent-DNA molecules (60). In this method, two single strands of DNA of different lengths (45 bases and 30 bases) form a circular bent-DNA molecule upon hybridization (Fig. 4a) (61–67). Stresses in the circular DNA due to the bending of the double-stranded segment make the molecule more prone to perturbations and, thus, to amplified interactions between the DNA and other molecules; therefore, these molecules are referred to as “amplifiers” (60). The rationale for using the bent-DNA molecules is 3-fold. First, this new method can amplify weak interactions between DNA and other molecules, which makes it easier to detect the possible interactions (60). Second, the possible DNA dehybridization induced by Ag+ ions may be directly and conveniently visualized by gel electrophoresis. Third, it has been reported that H-NS proteins bind to curved DNA and that H-NS proteins facilitate bridging of DNA strands (47, 68, 69); therefore, bent DNA might mimic the natural DNA that H-NS proteins bind in live bacteria more effectively than linear DNA.

We observed that Ag+ ions caused the intensity of the bent-DNA band to decrease (Fig. 4c). Additionally, bands ahead of the bent-DNA band showed up in the presence of Ag+ ions (Fig. 4c, green triangle). On the same gel, we included a lane for the longer single-stranded DNA (45 bases) and found that the bands that appeared in the presence of Ag+ ions matched with this single-stranded DNA band very well, suggesting that Ag+ ions led to dehybridization of the circular bent DNA. It is worthwhile to note that the dehybridization of the bent DNA was observed at a concentration of Ag+ ions as low as 10 μM (Fig. 4c). The observations were quantified by measuring the intensities of the bands, which were normalized to the intensity of the bent-DNA band in the absence of Ag+ ions (Fig. 4c). The intensities of the bands for the bent double-stranded DNA (ID) decreased steadily as the concentration of Ag+ ions increased (Fig. 4d, blue circles), while the intensities of the bands for the single-stranded DNA (IS) increased after Ag+ treatment (Fig. 4d, green triangles).

We further estimated the percentage of dehybridization of the bent DNA caused by Ag+ ions using the equation ϕdh = βIS/(βIS + ID), where β is a correction factor to account for differences in the staining efficiencies of SYBR safe dyes for double-stranded DNA and single-stranded DNA, respectively. This factor was measured in a previous study and ranged from 0.4 to 1.1 (70). Following the method in reference 70, we experimentally measured this correction factor by staining both bent double-stranded DNA and single-stranded DNA on the same gel (Fig. 4e, top-left inset). We varied the amount of single-stranded DNA (Fig. 4e, top-left inset, SS bands) but kept the amount of bent double-stranded DNA (Fig. 4e, top-left inset, B band) constant. From the fluorescence intensities of bands of single-stranded DNA (Iss) stained by SYBR safe as a function of their amount (xss), we obtained a calibration curve (Fig. 4e). Interestingly, the fluorescence intensity was not linear to the amount of single-stranded DNA, presumably due to the background intensities of the gel. Instead, the calibration curve could be fitted well with a power law, Iss=A×xssv , which could be seen more clearly from the log-log plot (Fig. 4e, bottom-right inset). The fitting resulted in ν = 0.69 ± 0.02 (Fig. 4e). From the fitting, we estimated the equivalent amount of the bent double-stranded DNA at 10 pmol from its intensity (Fig. 4e). By comparing the equivalent amount and the actual amount of the bent double-stranded DNA, we determined that the correction factor in our experiments was β ≈ 0.52, which fell in the previously reported range of [0.4, 1.1] (70). Using the measured correction factor, we estimated the percentage of dehybridization, ϕdh, at different concentrations of Ag+ ions and observed that ϕdh was roughly linear to the concentration of Ag+ ions, with a slope of (0.44 ± 0.03)% per μM (Fig. 4f). We also note that the linear dependence was robust. For example, when we varied the correction factor from 0.4 to 1.1, the ϕdh-versus-[Ag+] plots remained linear for different correction factors (Fig. 4g). On the other hand, the slopes varied from (0.38 ± 0.02)% per μM for β = 0.4 to (0.61 ± 0.04)% per μM for β = 1.1.

A plausible mechanism for the faster dynamics of H-NS proteins caused by Ag+ ions.Based on our experimental results and analyses using various assays, we proposed the following mechanism for the effects of Ag+ ions on the diffusive dynamics of H-NS proteins in live bacteria. The Ag+ ion interaction with DNA leads to a tendency to dehybridization (or a partial dehybridization) of double-stranded DNA (Fig. 5a and b). The partial dehybridization is likely amplified in the segment of the curved DNA where H-NS proteins preferably bind and therefore weakens the binding of H-NS proteins on the bacterial genome. The weakened binding results in increasing fractions of unbound H-NS in the bacteria (Fig. 5b and c). As unbound H-NS proteins diffuse faster than bound ones, the overall diffusive dynamics of H-NS proteins became faster after Ag+ treatment.

FIG 5
  • Open in new tab
  • Download powerpoint
FIG 5

Speculated mechanism of Ag+ ions’ effects on the diffusive dynamics of H-NS proteins in live bacteria. (a) A bacterium subjected to Ag+ ions. (b) Partial dehybridization of curved DNA induced by Ag+ ions. (c) Unbinding of H-NS proteins from DNA due to (partial) dehybridization, leading to faster diffusive dynamics of the H-NS proteins.

DISCUSSION

We used superresolution fluorescence microscopy in combination with single-particle tracking to investigate the diffusive dynamics of H-NS proteins in live bacteria treated with Ag+ ions. We observed that Ag+ treatment led to faster dynamics of H-NS proteins: while the motion of H-NS proteins remained subdiffusive, the generalized diffusion coefficient of H-NS proteins increased upon exposure to Ag+ ions. To understand the mechanism of the observed faster dynamics of H-NS, an electrophoretic mobility shift assay was performed in vitro with purified H-NS proteins and double-stranded DNA. It was found that Ag+ ions weakened the binding between H-NS proteins. With isothermal titration calorimetry, we confirmed that DNA and Ag+ ions interacted directly. Furthermore, we examined the DNA-Ag interaction using our recently developed sensors based on bent-DNA molecules and found that Ag+ ions caused dissociation of double-stranded DNA into single strands. Our results suggest that a plausible mechanism for the faster dynamics of H-NS proteins in live bacteria when exposed to Ag+ ions is Ag+-induced DNA dehybridization.

The observed faster diffusion of H-NS proteins in bacteria upon exposure to Ag+ ions was unexpected because the metal ion, due to its antimicrobial effects, is likely to reduce the metabolic rate of bacteria, lower the fluidity of bacterial cytoplasm, and slow down the diffusion of proteins in bacterial cytoplasm (71). Similar effects with other antibiotics have been observed previously (29, 71, 72). However, due to the specific functions of H-NS proteins (e.g., binding to DNA) (34), the change in the diffusion of H-NS proteins upon exposure to Ag+ ions was opposite to expectations. This unexpected observation raises awareness in the field of understanding the material and physical properties of biological systems at the cellular level. As many current studies on the mechanical properties of bacterial and cellular cytoplasm are based on monitoring the motion and diffusion of tracers (proteins or other molecules/particles) in the organisms of interest (71–82), it is important to pay close attention to the function of these tracer molecules/particles. As evidenced in the literature, molecules with different functions display different diffusive behaviors in E. coli bacteria (32, 71–80), which would be translated to the differences in the material properties of the bacterial cytoplasm experienced by the molecules. In addition, this function dependence indicates another factor contributing to the heterogeneity of the physical properties of cellular cytoplasm.

Our work represents a study of the antimicrobial effects of Ag+ ions on the diffusive dynamics of proteins at the molecular level in live bacteria. H-NS is one major member of the ≥12 nucleoid-associated proteins (NAPs) in Gram-negative bacteria (34, 83). In addition, many fundamental cellular processes in bacteria and cells rely on interactions between DNA and proteins, including DNA packaging (84), gene regulation (34, 83, 85, 86), and DNA repair (87–89). It remains unclear how the diffusive dynamics of these DNA-interacting proteins are affected by Ag and whether the effects of Ag+ ions on the other DNA-interacting proteins are different from their effects on H-NS proteins.

Dissociation of DNA and DNA-binding proteins has long been reported in the literature. For example, DNA was dissociated from histone proteins and released from nucleosomes in the presence of salt solutions (i.e., ions) at high concentrations (e.g., ∼750 mM NaCl), which was attributed to the electrostatic screening effect of the ions on the negative charges of the DNA backbone (90). However, it is important to point out that the electrostatic effect is unlikely to be the major contributor to the dissociation of DNA and H-NS proteins observed here, because of the low concentration of Ag+ ions (10 μM) used in the current study. An interesting future study is to seek to understand how the nucleosome core particles are affected by Ag+ ions, which could be expected to shed light on possible mechanisms of cytotoxicity of Ag for eukaryotic cells.

It is worthwhile to emphasize that the current study does not exclude the possibility that interactions between H-NS proteins and Ag+ ions affect the binding between H-NS and DNA. It is well known that the sulfhydryl group (i.e., -thiol) in proteins is one target of Ag+ ions (55). As the H-NS monomer contains one cysteine in the dimerization domain, it is possible that Ag+ ions interact with the H-NS proteins and affect the binding affinity of H-NS proteins on DNA. One possibility is that, although the Ag-thiol interaction is in the dimerization domain, the binding affinity of this protein on DNA could be changed allosterically. Allosteric regulation (or allosteric control), i.e., the regulation of a protein by molecules at a site other than the protein’s active site (91–93), is well known in regulatory proteins such as lactose repressor (91, 92). It would be interesting to further investigate whether and how the binding of H-NS proteins on DNA is allosterically regulated by their interactions with Ag+ ions. Another possibility is that Ag treatment might result in the formation of Ag-thiol bonds, affecting the dimerization of the H-NS proteins or even leading to denaturing or misfolding of the proteins (94, 95), which would interfere with binding between H-NS and DNA.

Previous studies have suggested that Ag+ ions cause serious damage to the cell membrane in various aspects, such as detachment of the inner membrane from the outer envelope and cis/trans transformation of the unsaturated membrane fatty acids (17, 96–100). However, a dynamic picture of the Ag-caused membrane damage is still missing. Interesting questions include how the fluidity of membrane lipids is affected and how the membranes are disrupted by Ag. Dynamic studies with both high spatial and temporal resolutions are required to address these questions. In addition, systematic studies based on a library of E. coli single-gene-deletion strains that examined bacterial optical density in liquid media (22) or colony size on agar plates (43) have identified various genes that are highly sensitive to Ag treatment. It would be exciting to apply the methodology described in this work to understand how the dynamics of the corresponding proteins are affected by Ag.

MATERIALS AND METHODS

Bacterial strain and sample preparation.The E. coli strain used in this study is JW1225 of the Keio collection (purchased from the Yale E. coli Genetic Stock Center) (101) transformed with plasmid pHNS-mEos3.2, which encodes an hns-meos fusion gene (32, 102). The resultant strain expresses H-NS proteins fused to mEos3.2 photoswitchable fluorescent proteins (102, 103) and carries resistance against kanamycin and chloramphenicol (32, 102). The same strain was used in our previous studies (32, 44).

The bacteria were grown overnight in a defined M9 minimal medium supplemented with 1% glucose, 0.1% Casamino Acids, 0.01% thiamine, and appropriate antibiotics (kanamycin plus chloramphenicol) at 37°C in a shaking incubator with a speed of 250 rpm (32, 44, 104, 105). On the next day, the overnight culture was diluted 50 to 100 times into a fresh medium such that the optical density at 600 nm (OD600) was 0.05. This culture (5 ml) was regrown in the shaking incubator at 37°C for 2 to 3 h. When the OD600 of the bacterial culture reached 0.3, 10 μl of the culture was transferred onto a small, square agarose gel pad (5 mm by 5 mm). The remaining bacterial culture was treated with a prepared stock solution of Ag+ ions (final concentration, 10 μM). The stock solutions of Ag+ ions were prepared by dissolving AgNO3 powders (Alfa Aesar, Haverhill, MA) in deionized water (>17.5 MΩ), followed by filtration; the resulting stock solutions were stored at 4°C in the dark for later use. The Ag+-treated bacteria were incubated at 37°C in a shaking incubator (250 rpm) for 2, 4, 6, and 8 h. After each 2 h, 10 μl of the bacterial culture was taken from the treated culture and added onto a new square agarose pad containing Ag+ ions at 10 μM. The control (untreated) and treated samples were left in the dark at room temperature for 20 to 30 min on the agarose pads to allow the bacteria to be absorbed and mounted. Each agarose pad was then flipped and attached firmly and gently to a clean coverslip, which was glued to a rubber O ring and a clean microscope slide to form a chamber (32, 44).

Single-particle tracking photoactivated localization microscopy (sptPALM) on H-NS proteins in live bacteria.The superresolution fluorescence microscope used in this work is home built, based on an Olympus IX-73 inverted microscope with an Olympus oil immersion total internal reflection fluorescence (TIRF) objective (100×, numeric aperture = 1.49). The microscope and data acquisition were controlled by Micro-Manager (106). To activate and excite the H-NS–mEos3.2 fusion proteins in live E. coli bacteria, lasers at 405 nm and 532 nm from a multilaser system (iChrome MLE; Toptica Photonics, Farmington, NY) were used (32, 44, 103). Emissions from the fluorescent proteins were collected by the objective and imaged on an electron-multiplying charge-coupled device (EMCCD) camera (Andor, MA) with an exposure time of 30 ms, which resulted in 45 ms for the actual time interval between frames. The effective pixel size of acquired images was 160 nm. For each sample (untreated or treated for 2 to 8 h), 5 to 8 movies were acquired.

The resulting movies (20,000 frames) were analyzed with RapidStorm (107), generating x/y positions, x/y widths, intensity, and background for each fluorescent spot detected. Spots with localization precision of >40 nm were rejected (25, 32). The spots that survived the criteria were further corrected for drift using a mean cross-correlation algorithm (108). Furthermore, the spots were segmented manually into individual cells. The positions r from the same molecule in adjacent frames in the same cells were linked by standard algorithms with a memory of one frame (Mem = 1) and a maximum step size of 480 nm (maximum displacement [Maxdisp] = 480) using trackpy (27, 29, 109, 110), from which the trajectories of individual molecules, r(t), were obtained. Velocities of H-NS proteins were then calculated from the trajectories, v(t) = Δr(t)/Δt, where Δr is the displacement and Δt is the time interval between adjacent data points in the trajectories.

eMSD and generalized diffusion coefficient.From the trajectories r(t) in each bacterial cell, the ensemble mean-square displacements (eMSD) were calculated with the equation 〈Δr2(τ)〉=〈[r(t+τ)−r(t)]2〉 using built-in functions in trackpy (110). The eMSD data were then averaged over different cells from multiple movies for the same sample. The numbers of bacterial cells ranged from 158 to 678. The averaged eMSD data were then fitted using the equation 〈Δr2〉(τ)=4Dτα , resulting in the generalized diffusion coefficient (D) and the anomalous scaling exponent α.

Plasmid cloning for H-NS expression and purification.Plasmid pHisHNS was constructed for the expression and purification of H-NS proteins for in vitro experiments. Briefly, the hns gene was amplified from the pHNS-mEos3.2 plasmid by PCR using a pair of primers (H-NS-F, 5′-GGG GAC AAG TTT GTA CAA AAA AGC AGG CTC CAT GAG CGA AGC ACT TAA-3′, and H-NS-R, 5′-GGG GAC CAC TTT GTA CGG GAA AGC TGG GTT TTA TTG CTT GAT CAG GAA-3′). The PCR fragment was cloned into the entry vector pENTR/D-TOPO (Thermo Fisher Scientific, Waltham, MA, USA) using BP Clonase enzyme mixture (Thermo Fisher Scientific, Waltham, MA, USA), resulting in an entry clone. The entry clone was mixed with the pDEST 17 vector and LR Clonase enzyme mixture (Thermo Fisher Scientific, Waltham, MA, USA), generating the plasmid pHisHNS, which encodes 6×His-tagged H-NS proteins. The final plasmid was verified by PCR and sequencing (Eton Bioscience, Inc., San Diego, CA, USA).

Expression and purification of H-NS proteins.The constructed plasmid, pHisHNS, was used for expression of H-NS proteins. Briefly, it was transformed into E. coli BL21(DE3) competent cells (New England Biolabs, Ipswich, MA, USA). On the second day, a single colony was inoculated into 15 ml of LB medium and grown at 37°C in a shaking incubator (250 rpm) overnight. The overnight culture was transferred into 400 ml fresh LB medium and regrown at 37°C to reach an OD600 of 0.4, followed by induction with 0.5 mM isopropyl β-d-1-thiogalactopyranoside (IPTG) (IBI Scientific, Dubuque, IA, USA) at 30°C for 5 h. Cells were collected by centrifuging at 4,500 rpm at 4°C for 30 min, and the cell pellets were stored at −80°C.

On the next day, the cell pellets were resuspended in 30 ml of lysis buffer (1× phosphate-buffered saline [PBS] with 10 mM imidazole) containing 1 mM phenylmethylsulfonyl fluoride (PMSF) (Bio Basic, Markham, Canada) and 1× protease inhibitors (Roche, Switzerland). The resuspended cells were then further lysed by sonication on ice (30% pulse for 10 s and rest for 15 s, repeated for 3 min), followed by mixing with 0.1% Triton X-100 and incubation with shaking at 4°C for 1 h. The cell lysate was centrifuged at 12,000 rpm for 30 min, and the supernatant was collected and syringe filtered (0.45 μm). The filtered supernatant was mixed with nickel beads at 50% bed volume (Thermo Fisher Scientific, Waltham, MA, USA) and incubated at 4°C overnight. On the next day, the mixture was applied to a Poly-Prep chromatography column (Bio-Rad Laboratories, Hercules, CA, USA) and washed with wash buffer I (lysis buffer with 10 mM imidazole) twice and wash buffer II (lysis buffer with 20 mM imidazole) twice. After the extensive washes, the His-tagged H-NS proteins were eluted from the nickel beads using 5 ml elution buffer (lysis buffer with 250 mM imidazole). The eluted proteins were concentrated using Amicon concentrators with a 10-kDa cutoff (MilliporeSigma, Burlington, MA, USA). The purity of the purified His-tagged H-NS proteins was measured using SDS-PAGE (15%). The concentration of the purified protein was measured by Bradford assay (111, 112).

EMSA for binding of H-NS proteins on DNA.Electrophoretic mobility shift assay (EMSA) (46) was used to examine the binding of H-NS proteins on DNA in the absence and presence of Ag+ ions. Briefly, 1 μl of double-stranded DNA (∼300 bp at ∼0.375 μg/μl) was mixed with purified H-NS proteins of various volumes in binding buffer (10 mM Tris at pH 7.5, 15% glycerol, 0.1 mM EDTA, 50 mM NaCl, and 1 mM 2-mercaptoethanol) with a total volume of 20 μl. The volume of H-NS proteins (stock concentration, 0.65 μg/μl) ranged from 0 to 10 μl, resulting in final concentrations of the H-NS protein ranging from 0 to 433 μM. The mixtures of proteins and DNA were incubated on ice for 15 min and then at room temperature for 30 min. To examine the effect of Ag+ ions on the binding of H-NS proteins on DNA, the samples were prepared the same as the negative control, except that the binding buffer contained Ag+ ions at final concentrations of 0.1, 0.6, or 1 mM. Following the incubation, the samples were mixed with DNA loading buffer (Bio-Rad Laboratories, Hercules, CA, USA) and subjected to PAGE (3%) in 1× Tris-borate-EDTA (TBE) buffer at 100 V for 50 min. The gels were stained with SYBR safe (Thermo Fisher Scientific, Waltham, MA, USA) and imaged using a ChemiStudio gel documentation system (Analytik Jena, Germany). The gel images from the EMSAs were analyzed using ImageJ (113, 114). Each set of samples was repeated at least three times, from which the average values and the standard errors of the means (SEM) were calculated.

ITC measurements.The isothermal titration calorimetry ITC measurements were carried out at 25°C using an isothermal titration calorimeter (MicroCal ITC200; Malvern Panalytical) equipped with a 280-μl sample cell and a pipette syringe with a spin needle. The sequences of the double-stranded DNA were 5′-GTG CTG ACG GAA TTC TTG ACA TCT C-3′ and 5′-GAG ATG TCA AGA ATT CCG TCA GCA C-3′. For the experiment, 250 μl of 1 μM DNA in 10 mM HEPES buffer (pH 7.5) containing 0.2 mM Tris-HCl and 0.25 mM NaCl was placed in the cell. Then, 0.2 mM AgNO3 in 10 mM HEPES buffer was titrated to the cell using 1.3 μl per injection and a 1-min interval between injections. During the titration, a spin rate of 750 rpm was used to mix the reactants. For the control experiment, 10 mM HEPES buffer containing 0.2 mM Tris-HCl and 0.25 mM NaCl in the absence of DNA was placed in the cell instead for titration.

Probing the DNA-Ag+ interactions using bent-DNA amplifiers.Bent-DNA amplifiers were prepared as described previously (60, 62, 64, 65). Briefly, synthesized single-stranded DNA molecules (Integrated DNA Technologies, Coralville, IA, USA) were resuspended in distilled water to a final concentration of 100 μM. The sequences of DNA strands for constructing bent-DNA molecules are 5′-CAC AGA ATT CAG CAG CAG GCA ATG ACA GTA GAC ATA CGA CGA CTC-3′ (long strand, 45 bases) and 5′-CTG CTG AAT TCT GTG GAG TCG TCG TAT GTC-3′ (short strand, 30 bases). Single strands were mixed at equal molar amounts in background buffer (0.4 mM Tris-HCl and 0.5 mM NaCl, pH 7.5) containing Ag+ ions at various concentrations ([Ag+] = 0, 10, 20, …, 80, 90 μM). Ag+ ions were provided from aqueous solutions of AgNO3. The final concentration of the DNA was 2 μM. The mixtures were heated to 75°C for 2 min and gradually cooled down to 22°C (room temperature) over 5 h. Upon hybridization, a circular construct is formed, with a double-stranded portion of 30 bp (with a nick) and a single-stranded portion of 15 bases (Fig. 4a). The mixtures were incubated at 22°C overnight to allow full equilibrium, followed by PAGE. Experiments were performed in triplicates. Imaging and analysis of the DNA gels were performed similarly as for the EMSA described above.

ACKNOWLEDGMENT

We thank Joshua N. Milstein for the generous gift of the pHNS-mEos3.2 plasmid.

This work was supported by the University of Arkansas, the Arkansas Biosciences Institute (grants no. ABI-0189, ABI-0226, ABI-0277, and ABI-0326), the Arkansas Department of Higher Education, and the National Science Foundation (grant no. 1826642). We are also grateful for support from the Arkansas High Performance Computing Center (AHPCC), which is funded in part by the National Science Foundation (grants no. 0722625, 0959124, 0963249, and 0918970) and the Arkansas Science and Technology Authority.

Y.W. designed the project and experiments. A.A.S. and V.R.K. performed sptPALM experiments. P.K. cloned plasmids for expression and purification of H-NS proteins. P.K. and A.A.S. performed EMSAs. R.K.G., R.H.M., P.K., J.F., and M.R. performed ITC experiments. J.F. performed experiments using bent DNA. All the authors performed data analysis. Y.W., A.A.S., P.K., and J.C. wrote the manuscript. All the authors edited and reviewed the manuscript.

Y.W. declares that a patent with him as an inventor has been filed for the concept and realization of the bent-DNA molecules as amplifiers and biosensors by the University of Arkansas. Other authors declare no competing interests.

FOOTNOTES

    • Received 30 October 2019.
    • Accepted 10 January 2020.
    • Accepted manuscript posted online 17 January 2020.
  • Supplemental material is available online only.

  • Copyright © 2020 American Society for Microbiology.

All Rights Reserved.

REFERENCES

  1. 1.↵
    World Health Organization. 2014. World Health Statistics 2014. World Health Organization, Geneva, Switzerland.
  2. 2.↵
    1. Allen HK,
    2. Trachsel J,
    3. Looft T,
    4. Casey TA
    . 2014. Finding alternatives to antibiotics. Ann N Y Acad Sci 1323:91–100. doi:10.1111/nyas.12468.
    OpenUrlCrossRef
  3. 3.↵
    1. François B,
    2. Jafri HS,
    3. Bonten M
    . 2016. Alternatives to antibiotics. Intensive Care Med 42:2034–2036. doi:10.1007/s00134-016-4339-y.
    OpenUrlCrossRef
  4. 4.↵
    1. Alexander JW
    . 2009. History of the medical use of silver. Surg Infect (Larchmt) 10:289–292. doi:10.1089/sur.2008.9941.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Agnihotri S,
    2. Mukherji S,
    3. Mukherji S
    . 2014. Size-controlled silver nanoparticles synthesized over the range 5–100 nm using the same protocol and their antibacterial efficacy. RSC Adv 4:3974–3983. doi:10.1039/C3RA44507K.
    OpenUrlCrossRef
  6. 6.↵
    1. Bao H,
    2. Yu X,
    3. Xu C,
    4. Li X,
    5. Li Z,
    6. Wei D,
    7. Liu Y
    . 2015. New toxicity mechanism of silver nanoparticles: promoting apoptosis and inhibiting proliferation. PLoS One 10:e0122535. doi:10.1371/journal.pone.0122535.
    OpenUrlCrossRef
  7. 7.↵
    1. Geethalakshmi R,
    2. Sarada DVL
    . 2013. Characterization and antimicrobial activity of gold and silver nanoparticles synthesized using saponin isolated from Trianthema decandra L. Ind Crops Prod 51:107–115. doi:10.1016/j.indcrop.2013.08.055.
    OpenUrlCrossRefWeb of Science
  8. 8.↵
    1. Kim JS,
    2. Kuk E,
    3. Yu KN,
    4. Kim J-H,
    5. Park SJ,
    6. Lee HJ,
    7. Kim SH,
    8. Park YK,
    9. Park YH,
    10. Hwang C-Y,
    11. Kim Y-K,
    12. Lee Y-S,
    13. Jeong DH,
    14. Cho M-H
    . 2007. Antimicrobial effects of silver nanoparticles. Nanomedicine (Lond) 3:95–101. doi:10.1016/j.nano.2006.12.001.
    OpenUrlCrossRef
  9. 9.↵
    1. Le Ouay B,
    2. Stellacci F
    . 2015. Antibacterial activity of silver nanoparticles: a surface science insight. Nano Today 10:339–354. doi:10.1016/j.nantod.2015.04.002.
    OpenUrlCrossRef
  10. 10.↵
    1. Maiti S,
    2. Krishnan D,
    3. Barman G,
    4. Ghosh SK,
    5. Laha JK
    . 2014. Antimicrobial activities of silver nanoparticles synthesized from Lycopersicon esculentum extract. J Anal Sci Technol 5:40. doi:10.1186/s40543-014-0040-3.
    OpenUrlCrossRef
  11. 11.↵
    1. Pal S,
    2. Tak YK,
    3. Song JM
    . 2007. Does the antibacterial activity of silver nanoparticles depend on the shape of the nanoparticle? A study of the Gram-negative bacterium Escherichia coli. Appl Environ Microbiol 73:1712–1720. doi:10.1128/AEM.02218-06.
    OpenUrlAbstract/FREE Full Text
  12. 12.↵
    1. Ruparelia JP,
    2. Chatterjee AK,
    3. Duttagupta SP,
    4. Mukherji S
    . 2008. Strain specificity in antimicrobial activity of silver and copper nanoparticles. Acta Biomater 4:707–716. doi:10.1016/j.actbio.2007.11.006.
    OpenUrlCrossRefPubMedWeb of Science
  13. 13.↵
    1. Shaalan M,
    2. Saleh M,
    3. El-Mahdy M,
    4. El-Matbouli M
    . 2016. Recent progress in applications of nanoparticles in fish medicine: a review. Nanomedicine (Lond) 12:701–710. doi:10.1016/j.nano.2015.11.005.
    OpenUrlCrossRef
  14. 14.↵
    1. Sondi I,
    2. Salopek-Sondi B
    . 2004. Silver nanoparticles as antimicrobial agent: a case study on E. coli as a model for Gram-negative bacteria. J Colloid Interface Sci 275:177–182. doi:10.1016/j.jcis.2004.02.012.
    OpenUrlCrossRefPubMedWeb of Science
  15. 15.↵
    1. Xiu Z,
    2. Zhang Q,
    3. Puppala HL,
    4. Colvin VL,
    5. Alvarez P
    . 2012. Negligible particle-specific antibacterial activity of silver nanoparticles. Nano Lett 12:4271–4275. doi:10.1021/nl301934w.
    OpenUrlCrossRefPubMedWeb of Science
  16. 16.↵
    1. Zhou Y,
    2. Kong Y,
    3. Kundu S,
    4. Cirillo JD,
    5. Liang H
    . 2012. Antibacterial activities of gold and silver nanoparticles against Escherichia coli and bacillus Calmette-Guérin. J Nanobiotechnol 10:19. doi:10.1186/1477-3155-10-19.
    OpenUrlCrossRef
  17. 17.↵
    1. Durán N,
    2. Durán M,
    3. de Jesus MB,
    4. Seabra AB,
    5. Fávaro WJ,
    6. Nakazato G
    . 2016. Silver nanoparticles: a new view on mechanistic aspects on antimicrobial activity. Nanomedicine (Lond) 12:789–799. doi:10.1016/j.nano.2015.11.016.
    OpenUrlCrossRef
  18. 18.↵
    1. Jung WK,
    2. Koo HC,
    3. Kim KW,
    4. Shin S,
    5. Kim SH,
    6. Park YH
    . 2008. Antibacterial activity and mechanism of action of the silver ion in Staphylococcus aureus and Escherichia coli. Appl Environ Microbiol 74:2171–2178. doi:10.1128/AEM.02001-07.
    OpenUrlAbstract/FREE Full Text
  19. 19.↵
    1. Feng QL,
    2. Wu J,
    3. Chen GQ,
    4. Cui FZ,
    5. Kim TN,
    6. Kim JO
    . 2000. A mechanistic study of the antibacterial effect of silver ions on Escherichia coli and Staphylococcus aureus. J Biomed Mater Res 52:662–668. doi:10.1002/1097-4636(20001215)52:4<662::AID-JBM10>3.0.CO;2-3.
    OpenUrlCrossRefPubMedWeb of Science
  20. 20.↵
    1. Radzig MA,
    2. Nadtochenko VA,
    3. Koksharova OA,
    4. Kiwi J,
    5. Lipasova VA,
    6. Khmel IA
    . 2013. Antibacterial effects of silver nanoparticles on gram-negative bacteria: influence on the growth and biofilms formation, mechanisms of action. Colloids Surf B Biointerfaces 102:300–306. doi:10.1016/j.colsurfb.2012.07.039.
    OpenUrlCrossRefPubMedWeb of Science
  21. 21.↵
    1. Marambio-Jones C,
    2. Hoek EMV
    . 2010. A review of the antibacterial effects of silver nanomaterials and potential implications for human health and the environment. J Nanopart Res 12:1531–1551. doi:10.1007/s11051-010-9900-y.
    OpenUrlCrossRef
  22. 22.↵
    1. Ivask A,
    2. Elbadawy A,
    3. Kaweeteerawat C,
    4. Boren D,
    5. Fischer H,
    6. Ji Z,
    7. Chang CH,
    8. Liu R,
    9. Tolaymat T,
    10. Telesca D,
    11. Zink JI,
    12. Cohen Y,
    13. Holden PA,
    14. Godwin HA
    . 2014. Toxicity mechanisms in Escherichia coli vary for silver nanoparticles and differ from ionic silver. ACS Nano 8:374–386. doi:10.1021/nn4044047.
    OpenUrlCrossRefPubMed
  23. 23.↵
    1. Betzig E,
    2. Patterson GH,
    3. Sougrat R,
    4. Lindwasser OW,
    5. Olenych S,
    6. Bonifacino JS,
    7. Davidson MW,
    8. Lippincott-Schwartz J,
    9. Hess HF
    . 2006. Imaging intracellular fluorescent proteins at nanometer resolution. Science 313:1642–1645. doi:10.1126/science.1127344.
    OpenUrlAbstract/FREE Full Text
  24. 24.↵
    1. Bates M,
    2. Huang B,
    3. Dempsey GT,
    4. Zhuang X
    . 2007. Multicolor super-resolution imaging with photo-switchable fluorescent probes. Science 317:1749–1753. doi:10.1126/science.1146598.
    OpenUrlAbstract/FREE Full Text
  25. 25.↵
    1. Huang B,
    2. Wang W,
    3. Bates M,
    4. Zhuang X
    . 2008. Three-dimensional super-resolution imaging by stochastic optical reconstruction microscopy. Science 319:810–813. doi:10.1126/science.1153529.
    OpenUrlAbstract/FREE Full Text
  26. 26.↵
    1. Heilemann M,
    2. van de Linde S,
    3. Mukherjee A,
    4. Sauer M
    . 2009. Super-resolution imaging with small organic fluorophores. Angew Chem Int Ed Engl 48:6903–6908. doi:10.1002/anie.200902073.
    OpenUrlCrossRefPubMedWeb of Science
  27. 27.↵
    1. Manley S,
    2. Gillette JM,
    3. Patterson GH,
    4. Shroff H,
    5. Hess HF,
    6. Betzig E,
    7. Lippincott-Schwartz J
    . 2008. High-density mapping of single-molecule trajectories with photoactivated localization microscopy. Nat Methods 5:155–157. doi:10.1038/nmeth.1176.
    OpenUrlCrossRefPubMedWeb of Science
  28. 28.↵
    1. Manley S,
    2. Gillette JM,
    3. Lippincott-Schwartz J
    . 2010. Single-particle tracking photoactivated localization microscopy for mapping single-molecule dynamics. Methods Enzymol 475:109–120. doi:10.1016/S0076-6879(10)75005-9.
    OpenUrlCrossRefPubMed
  29. 29.↵
    1. Stracy M,
    2. Lesterlin C,
    3. Garza de Leon F,
    4. Uphoff S,
    5. Zawadzki P,
    6. Kapanidis AN
    . 2015. Live-cell superresolution microscopy reveals the organization of RNA polymerase in the bacterial nucleoid. Proc Natl Acad Sci U S A 112:E4390–E4399. doi:10.1073/pnas.1507592112.
    OpenUrlAbstract/FREE Full Text
  30. 30.↵
    1. Barns KJ,
    2. Weisshaar JC
    . 2016. Single-cell, time-resolved study of the effects of the antimicrobial peptide alamethicin on Bacillus subtilis. Biochim Biophys Acta 1858:725–732. doi:10.1016/j.bbamem.2016.01.003.
    OpenUrlCrossRef
  31. 31.↵
    1. Bakshi S,
    2. Siryaporn A,
    3. Goulian M,
    4. Weisshaar JC
    . 2012. Superresolution imaging of ribosomes and RNA polymerase in live Escherichia coli cells. Mol Microbiol 85:21–38. doi:10.1111/j.1365-2958.2012.08081.x.
    OpenUrlCrossRefPubMed
  32. 32.↵
    1. Sadoon AA,
    2. Wang Y
    . 2018. Anomalous, non-Gaussian, viscoelastic, and age-dependent dynamics of histonelike nucleoid-structuring proteins in live Escherichia coli. Phys Rev E Stat Nonlin Soft Matter Phys 98:042411. doi:10.1103/PhysRevE.98.042411.
    OpenUrlCrossRef
  33. 33.↵
    1. Li Y,
    2. Shang L,
    3. Nienhaus GU
    . 2016. Super-resolution imaging-based single particle tracking reveals dynamics of nanoparticle internalization by live cells. Nanoscale 8:7423–7429. doi:10.1039/C6NR01495J.
    OpenUrlCrossRef
  34. 34.↵
    1. Dorman CJ
    . 2004. H-NS: a universal regulator for a dynamic genome. Nat Rev Microbiol 2:391–400. doi:10.1038/nrmicro883.
    OpenUrlCrossRefPubMedWeb of Science
  35. 35.↵
    1. Gerdes SY,
    2. Scholle MD,
    3. Campbell JW,
    4. Balázsi G,
    5. Ravasz E,
    6. Daugherty MD,
    7. Somera AL,
    8. Kyrpides NC,
    9. Anderson I,
    10. Gelfand MS,
    11. Bhattacharya A,
    12. Kapatral V,
    13. D’Souza M,
    14. Baev MV,
    15. Grechkin Y,
    16. Mseeh F,
    17. Fonstein MY,
    18. Overbeek R,
    19. Barabási A-L,
    20. Oltvai ZN,
    21. Osterman AL
    . 2003. Experimental determination and system level analysis of essential genes in Escherichia coli MG1655. J Bacteriol 185:5673–5684. doi:10.1128/JB.185.19.5673-5684.2003.
    OpenUrlAbstract/FREE Full Text
  36. 36.↵
    1. Gao Y,
    2. Foo YH,
    3. Winardhi RS,
    4. Tang Q,
    5. Yan J,
    6. Kenney LJ
    . 2017. Charged residues in the H-NS linker drive DNA binding and gene silencing in single cells. Proc Natl Acad Sci U S A 114:12560–12565. doi:10.1073/pnas.1716721114.
    OpenUrlAbstract/FREE Full Text
  37. 37.↵
    1. Gérard F,
    2. Dri AM,
    3. Moreau PL
    . 1999. Role of Escherichia coli RpoS, LexA and H-NS global regulators in metabolism and survival under aerobic, phosphate-starvation conditions. Microbiology 145:1547–1562. doi:10.1099/13500872-145-7-1547.
    OpenUrlCrossRefPubMedWeb of Science
  38. 38.↵
    1. Brescia CC,
    2. Kaw MK,
    3. Sledjeski DD
    . 2004. The DNA binding protein H-NS binds to and alters the stability of RNA in vitro and in vivo. J Mol Biol 339:505–514. doi:10.1016/j.jmb.2004.03.067.
    OpenUrlCrossRefPubMedWeb of Science
  39. 39.↵
    1. Zhou Y,
    2. Gottesman S
    . 2006. Modes of regulation of RpoS by H-NS. J Bacteriol 188:7022–7025. doi:10.1128/JB.00687-06.
    OpenUrlAbstract/FREE Full Text
  40. 40.↵
    1. Dame RT,
    2. Wyman C,
    3. Goosen N
    . 2000. H-NS mediated compaction of DNA visualised by atomic force microscopy. Nucleic Acids Res 28:3504–3510. doi:10.1093/nar/28.18.3504.
    OpenUrlCrossRefPubMedWeb of Science
  41. 41.↵
    1. Winardhi RS,
    2. Yan J,
    3. Kenney LJ
    . 2015. H-NS regulates gene expression and compacts the nucleoid: insights from single-molecule experiments. Biophys J 109:1321–1329. doi:10.1016/j.bpj.2015.08.016.
    OpenUrlCrossRefPubMed
  42. 42.↵
    1. Cendra Mdel M,
    2. Juárez A,
    3. Madrid C,
    4. Torrents E
    . 2013. H-NS is a novel transcriptional modulator of the ribonucleotide reductase genes in Escherichia coli. J Bacteriol 195:4255–4263. doi:10.1128/JB.00490-13.
    OpenUrlAbstract/FREE Full Text
  43. 43.↵
    1. Gugala N,
    2. Lemire J,
    3. Chatfield-Reed K,
    4. Yan Y,
    5. Chua G,
    6. Turner RJ
    . 2018. Using a chemical genetic screen to enhance our understanding of the antibacterial properties of silver. Genes (Basel) 9:E344. doi:10.3390/genes9070344.
    OpenUrlCrossRef
  44. 44.↵
    1. Alqahtany M,
    2. Khadka P,
    3. Niyonshuti I,
    4. Krishnamurthi VR,
    5. Sadoon AA,
    6. Challapalli SD,
    7. Chen J,
    8. Wang Y
    . 2019. Nanoscale reorganizations of histone-like nucleoid structuring proteins in Escherichia coli are caused by silver nanoparticles. Nanotechnology 30:385101. doi:10.1088/1361-6528/ab2a9f.
    OpenUrlCrossRef
  45. 45.↵
    1. Haque MA,
    2. Imamura R,
    3. Brown GA,
    4. Krishnamurthi VR,
    5. Niyonshuti II,
    6. Marcelle T,
    7. Mathurin LE,
    8. Chen J,
    9. Wang Y
    . 2017. An experiment-based model quantifying antimicrobial activity of silver nanoparticles on Escherichia coli. RSC Adv 7:56173–56182. doi:10.1039/C7RA10495B.
    OpenUrlCrossRef
  46. 46.↵
    1. Hellman LM,
    2. Fried MG
    . 2007. Electrophoretic mobility shift assay (EMSA) for detecting protein-nucleic acid interactions. Nat Protoc 2:1849–1861. doi:10.1038/nprot.2007.249.
    OpenUrlCrossRefPubMedWeb of Science
  47. 47.↵
    1. Yamada H,
    2. Muramatsu S,
    3. Mizuno T
    . 1990. An Escherichia coli protein that preferentially binds to sharply curved DNA. J Biochem 108:420–425. doi:10.1093/oxfordjournals.jbchem.a123216.
    OpenUrlCrossRefPubMedWeb of Science
  48. 48.↵
    1. La Teana A,
    2. Brandi A,
    3. Falconi M,
    4. Spurio R,
    5. Pon CL,
    6. Gualerzi CO
    . 1991. Identification of a cold shock transcriptional enhancer of the Escherichia coli gene encoding nucleoid protein H-NS. Proc Natl Acad Sci U S A 88:10907–10911. doi:10.1073/pnas.88.23.10907.
    OpenUrlAbstract/FREE Full Text
  49. 49.↵
    1. Ono A,
    2. Cao S,
    3. Togashi H,
    4. Tashiro M,
    5. Fujimoto T,
    6. Machinami T,
    7. Oda S,
    8. Miyake Y,
    9. Okamoto I,
    10. Tanaka Y
    . 2008. Specific interactions between silver(I) ions and cytosine-cytosine pairs in DNA duplexes. Chem Commun (Camb) 2008:4825–4827. doi:10.1039/b808686a.
    OpenUrlCrossRef
  50. 50.↵
    1. Shukla S,
    2. Sastry M
    . 2009. Probing differential Ag+-nucleobase interactions with isothermal titration calorimetry (ITC): towards patterned DNA metallization. Nanoscale 1:122–127. doi:10.1039/b9nr00004f.
    OpenUrlCrossRefPubMedWeb of Science
  51. 51.↵
    1. Ono A,
    2. Torigoe H,
    3. Tanaka Y,
    4. Okamoto I
    . 2011. Binding of metal ions by pyrimidine base pairs in DNA duplexes. Chem Soc Rev 40:5855–5866. doi:10.1039/c1cs15149e.
    OpenUrlCrossRefPubMed
  52. 52.↵
    1. Clever GH,
    2. Kaul C,
    3. Carell T
    . 2007. DNA–metal base pairs. Angew Chem Int Ed Engl 46:6226–6236. doi:10.1002/anie.200701185.
    OpenUrlCrossRefPubMedWeb of Science
  53. 53.↵
    1. Durán N,
    2. Marcato PD,
    3. Conti RD,
    4. Alves OL,
    5. Costa FTM,
    6. Brocchi M
    . 2010. Potential use of silver nanoparticles on pathogenic bacteria, their toxicity and possible mechanisms of action. J Braz Chem Soc 21:949–959. doi:10.1590/S0103-50532010000600002.
    OpenUrlCrossRef
  54. 54.↵
    1. Chabert V,
    2. Hologne M,
    3. Sénèque O,
    4. Crochet A,
    5. Walker O,
    6. Fromm KM
    . 2017. Model peptide studies of Ag+ binding sites from the silver resistance protein SilE. Chem Commun (Camb) 53:6105–6108. doi:10.1039/C7CC02630G.
    OpenUrlCrossRef
  55. 55.↵
    1. Yamashita MM,
    2. Wesson L,
    3. Eisenman G,
    4. Eisenberg D
    . 1990. Where metal ions bind in proteins. Proc Natl Acad Sci U S A 87:5648–5652. doi:10.1073/pnas.87.15.5648.
    OpenUrlAbstract/FREE Full Text
  56. 56.↵
    1. Grainger DC
    . 2016. Structure and function of bacterial H-NS protein. Biochem Soc Trans 44:1561–1569. doi:10.1042/BST20160190.
    OpenUrlAbstract/FREE Full Text
  57. 57.↵
    1. Bloomfield VA
    . 1991. Condensation of DNA by multivalent cations: considerations on mechanism. Biopolymers 31:1471–1481. doi:10.1002/bip.360311305.
    OpenUrlCrossRefPubMedWeb of Science
  58. 58.↵
    1. Lipfert J,
    2. Doniach S,
    3. Das R,
    4. Herschlag D
    . 2014. Understanding nucleic acid-ion interactions. Annu Rev Biochem 83:813–841. doi:10.1146/annurev-biochem-060409-092720.
    OpenUrlCrossRefPubMedWeb of Science
  59. 59.↵
    1. Gogoi SK,
    2. Gopinath P,
    3. Paul A,
    4. Ramesh A,
    5. Ghosh SS,
    6. Chattopadhyay A
    . 2006. Green fluorescent protein-expressing Escherichia coli as a model system for investigating the antimicrobial activities of silver nanoparticles. Langmuir 22:9322–9328. doi:10.1021/la060661v.
    OpenUrlCrossRefPubMedWeb of Science
  60. 60.↵
    1. Freeland J,
    2. Khadka P,
    3. Wang Y
    . 2018. Mechanical-energy-based amplifiers for probing interactions of DNA with metal ions. Phys Rev E 98:062403. doi:10.1103/PhysRevE.98.062403.
    OpenUrlCrossRef
  61. 61.↵
    1. Wang Y,
    2. Wang A,
    3. Qu H,
    4. Zocchi G
    . 2009. Protein-DNA chimeras: synthesis of two-arm chimeras and non-mechanical effects of the DNA spring. J Phys Condens Matter 21:335103. doi:10.1088/0953-8984/21/33/335103.
    OpenUrlCrossRefPubMed
  62. 62.↵
    1. Qu H,
    2. Wang Y,
    3. Tseng C-Y,
    4. Zocchi G
    . 2011. Critical torque for kink formation in double-stranded DNA. Phys Rev X 1:021008.
    OpenUrl
  63. 63.↵
    1. Wang J,
    2. Qu H,
    3. Zocchi G
    . 2013. Critical bending torque of DNA is a materials parameter independent of local base sequence. Phys Rev E Stat Nonlin Soft Matter Phys 88:032712. doi:10.1103/PhysRevE.88.032712.
    OpenUrlCrossRefPubMed
  64. 64.↵
    1. Qu H,
    2. Tseng C-Y,
    3. Wang Y,
    4. Levine AJ,
    5. Zocchi G
    . 2010. The elastic energy of sharply bent nicked DNA. Europhys Lett 90:18003. doi:10.1209/0295-5075/90/18003.
    OpenUrlCrossRef
  65. 65.↵
    1. Qu H,
    2. Zocchi G
    . 2011. The complete bending energy function for nicked DNA. Europhys Lett 94:18003. doi:10.1209/0295-5075/94/18003.
    OpenUrlCrossRef
  66. 66.↵
    1. Sanchez DS,
    2. Qu H,
    3. Bulla D,
    4. Zocchi G
    . 2013. DNA kinks and bubbles: temperature dependence of the elastic energy of sharply bent 10-nm-size DNA molecules. Phys Rev E Stat Nonlin Soft Matter Phys 87:022710. doi:10.1103/PhysRevE.87.022710.
    OpenUrlCrossRef
  67. 67.↵
    1. Sanchez DS,
    2. Zocchi G
    . 2015. EcoRV catalysis with a pre-bent substrate. AIP Adv 5:057153. doi:10.1063/1.4921837.
    OpenUrlCrossRef
  68. 68.↵
    1. Sonnenfield JM,
    2. Burns CM,
    3. Higgins CF,
    4. Hinton JC
    . 2001. The nucleoid-associated protein StpA binds curved DNA, has a greater DNA-binding affinity than H-NS and is present in significant levels in hns mutants. Biochimie 83:243–249. doi:10.1016/S0300-9084(01)01232-9.
    OpenUrlCrossRefPubMed
  69. 69.↵
    1. Dame RT,
    2. Wyman C,
    3. Goosen N
    . 2001. Structural basis for preferential binding of H-NS to curved DNA. Biochimie 83:231–234. doi:10.1016/S0300-9084(00)01213-X.
    OpenUrlCrossRefPubMedWeb of Science
  70. 70.↵
    1. Wei B,
    2. Dai M,
    3. Yin P
    . 2012. Complex shapes self-assembled from single-stranded DNA tiles. Nature 485:623–626. doi:10.1038/nature11075.
    OpenUrlCrossRefPubMedWeb of Science
  71. 71.↵
    1. Parry BR,
    2. Surovtsev IV,
    3. Cabeen MT,
    4. O’Hern CS,
    5. Dufresne ER,
    6. Jacobs-Wagner C
    . 2014. The bacterial cytoplasm has glass-like properties and is fluidized by metabolic activity. Cell 156:183–194. doi:10.1016/j.cell.2013.11.028.
    OpenUrlCrossRefPubMedWeb of Science
  72. 72.↵
    1. Weber SC,
    2. Spakowitz AJ,
    3. Theriot JA
    . 2012. Nonthermal ATP-dependent fluctuations contribute to the in vivo motion of chromosomal loci. Proc Natl Acad Sci U S A 109:7338–7343. doi:10.1073/pnas.1119505109.
    OpenUrlAbstract/FREE Full Text
  73. 73.↵
    1. Metzler R
    . 2017. Gaussianity fair: the riddle of anomalous yet non-Gaussian diffusion. Biophys J 112:413–415. doi:10.1016/j.bpj.2016.12.019.
    OpenUrlCrossRef
  74. 74.↵
    1. Jeon J-H,
    2. Tejedor V,
    3. Burov S,
    4. Barkai E,
    5. Selhuber-Unkel C,
    6. Berg-Sørensen K,
    7. Oddershede L,
    8. Metzler R
    . 2011. In vivo anomalous diffusion and weak ergodicity breaking of lipid granules. Phys Rev Lett 106:048103. doi:10.1103/PhysRevLett.106.048103.
    OpenUrlCrossRefPubMed
  75. 75.↵
    1. Weber SC,
    2. Theriot JA,
    3. Spakowitz AJ
    . 2010. Subdiffusive motion of a polymer composed of subdiffusive monomers. Phys Rev E Stat Nonlin Soft Matter Phys 82:011913. doi:10.1103/PhysRevE.82.011913.
    OpenUrlCrossRefPubMed
  76. 76.↵
    1. Weber SC,
    2. Spakowitz AJ,
    3. Theriot JA
    . 2010. Bacterial chromosomal loci move subdiffusively through a viscoelastic cytoplasm. Phys Rev Lett 104:238102. doi:10.1103/PhysRevLett.104.238102.
    OpenUrlCrossRefPubMed
  77. 77.↵
    1. Lampo TJ,
    2. Stylianidou S,
    3. Backlund MP,
    4. Wiggins PA,
    5. Spakowitz AJ
    . 2017. Cytoplasmic RNA-protein particles exhibit non-gaussian subdiffusive behavior. Biophys J 112:532–542. doi:10.1016/j.bpj.2016.11.3208.
    OpenUrlCrossRef
  78. 78.↵
    1. Tseng Y,
    2. Lee JSH,
    3. Kole TP,
    4. Jiang I,
    5. Wirtz D
    . 2004. Micro-organization and visco-elasticity of the interphase nucleus revealed by particle nanotracking. J Cell Sci 117:2159–2167. doi:10.1242/jcs.01073.
    OpenUrlAbstract/FREE Full Text
  79. 79.↵
    1. Tseng Y,
    2. Kole TP,
    3. Wirtz D
    . 2002. Micromechanical mapping of live cells by multiple-particle-tracking microrheology. Biophys J 83:3162–3176. doi:10.1016/S0006-3495(02)75319-8.
    OpenUrlCrossRefPubMedWeb of Science
  80. 80.↵
    1. Wirtz D
    . 2009. Particle-tracking microrheology of living cells: principles and applications. Annu Rev Biophys 38:301–326. doi:10.1146/annurev.biophys.050708.133724.
    OpenUrlCrossRefPubMedWeb of Science
  81. 81.↵
    1. Wang B,
    2. Kuo J,
    3. Granick S
    . 2013. Bursts of active transport in living cells. Phys Rev Lett 111:208102. doi:10.1103/PhysRevLett.111.208102.
    OpenUrlCrossRef
  82. 82.↵
    1. Wang B,
    2. Kuo J,
    3. Bae SC,
    4. Granick S
    . 2012. When Brownian diffusion is not Gaussian. Nat Mater 11:481–485. doi:10.1038/nmat3308.
    OpenUrlCrossRefPubMed
  83. 83.↵
    1. Dillon SC,
    2. Dorman CJ
    . 2010. Bacterial nucleoid-associated proteins, nucleoid structure and gene expression. Nat Rev Microbiol 8:185–195. doi:10.1038/nrmicro2261.
    OpenUrlCrossRefPubMedWeb of Science
  84. 84.↵
    1. Richmond TJ,
    2. Davey CA
    . 2003. The structure of DNA in the nucleosome core. Nature 423:145–150. doi:10.1038/nature01595.
    OpenUrlCrossRefPubMedWeb of Science
  85. 85.↵
    1. Jacob F,
    2. Monod J
    . 1961. Genetic regulatory mechanisms in the synthesis of proteins. J Mol Biol 3:318–356. doi:10.1016/S0022-2836(61)80072-7.
    OpenUrlCrossRefPubMedWeb of Science
  86. 86.↵
    1. Lewis M
    . 2005. The lac repressor. C R Biol 328:521–548. doi:10.1016/j.crvi.2005.04.004.
    OpenUrlCrossRefPubMedWeb of Science
  87. 87.↵
    1. Roberts RJ
    . 1976. Restriction endonucleases. CRC Crit Rev Biochem 4:123–164. doi:10.3109/10409237609105456.
    OpenUrlCrossRefPubMedWeb of Science
  88. 88.↵
    1. Kessler C,
    2. Manta V
    . 1990. Specificity of restriction endonucleases and DNA modification methyltransferases—a review (edition 3). Gene 92:1–240. doi:10.1016/0378-1119(90)90486-B.
    OpenUrlCrossRefPubMedWeb of Science
  89. 89.↵
    1. Burrell MM
    . 1993. Enzymes of molecular biology. Humana Press, New Jersey.
  90. 90.↵
    1. Yager TD,
    2. McMurray CT,
    3. van Holde KE
    . 1989. Salt-induced release of DNA from nucleosome core particles. Biochemistry 28:2271–2281. doi:10.1021/bi00431a045.
    OpenUrlCrossRefPubMedWeb of Science
  91. 91.↵
    1. Lewis M
    . 2013. Allostery and the lac operon. J Mol Biol 425:2309–2316. doi:10.1016/j.jmb.2013.03.003.
    OpenUrlCrossRefPubMed
  92. 92.↵
    1. Monod J,
    2. Wyman J,
    3. Changeux JP
    . 1965. On the nature of allosteric transitions: a plausible model. J Mol Biol 12:88–118. doi:10.1016/S0022-2836(65)80285-6.
    OpenUrlCrossRefPubMedWeb of Science
  93. 93.↵
    1. Srinivasan B,
    2. Forouhar F,
    3. Shukla A,
    4. Sampangi C,
    5. Kulkarni S,
    6. Abashidze M,
    7. Seetharaman J,
    8. Lew S,
    9. Mao L,
    10. Acton TB,
    11. Xiao R,
    12. Everett JK,
    13. Montelione GT,
    14. Tong L,
    15. Balaram H
    . 2014. Allosteric regulation and substrate activation in cytosolic nucleotidase II from Legionella pneumophila. FEBS J 281:1613–1628. doi:10.1111/febs.12727.
    OpenUrlCrossRefPubMed
  94. 94.↵
    1. Sharma SK,
    2. Goloubinoff P,
    3. Christen P
    . 2008. Heavy metal ions are potent inhibitors of protein folding. Biochem Biophys Res Commun 372:341–345. doi:10.1016/j.bbrc.2008.05.052.
    OpenUrlCrossRefPubMedWeb of Science
  95. 95.↵
    1. Tamás MJ,
    2. Sharma SK,
    3. Ibstedt S,
    4. Jacobson T,
    5. Christen P
    . 2014. Heavy metals and metalloids as a cause for protein misfolding and aggregation. Biomolecules 4:252–267. doi:10.3390/biom4010252.
    OpenUrlCrossRefPubMed
  96. 96.↵
    1. Dibrov P,
    2. Dzioba J,
    3. Gosink KK,
    4. Häse CC
    . 2002. Chemiosmotic mechanism of antimicrobial activity of Ag(+) in Vibrio cholerae. Antimicrob Agents Chemother 46:2668–2670. doi:10.1128/AAC.46.8.2668-2670.2002.
    OpenUrlAbstract/FREE Full Text
  97. 97.↵
    1. Hachicho N,
    2. Hoffmann P,
    3. Ahlert K,
    4. Heipieper HJ
    . 2014. Effect of silver nanoparticles and silver ions on growth and adaptive response mechanisms of Pseudomonas putida mt-2. FEMS Microbiol Lett 355:71–77. doi:10.1111/1574-6968.12460.
    OpenUrlCrossRefPubMed
  98. 98.↵
    1. Anas A,
    2. Jiya J,
    3. Rameez MJ,
    4. Anand PB,
    5. Anantharaman MR,
    6. Nair S
    . 2013. Sequential interactions of silver-silica nanocomposite (Ag-SiO2 NC) with cell wall, metabolism and genetic stability of Pseudomonas aeruginosa, a multiple antibiotic-resistant bacterium. Lett Appl Microbiol 56:57–62. doi:10.1111/lam.12015.
    OpenUrlCrossRef
  99. 99.↵
    1. Mueller-Spitz SR,
    2. Crawford KD
    . 2014. Silver nanoparticle inhibition of polycyclic aromatic hydrocarbons degradation by Mycobacterium species RJGII-135. Lett Appl Microbiol 58:330–337. doi:10.1111/lam.12205.
    OpenUrlCrossRef
  100. 100.↵
    1. Ansari MA,
    2. Khan HM,
    3. Khan AA,
    4. Ahmad MK,
    5. Mahdi AA,
    6. Pal R,
    7. Cameotra SS
    . 2014. Interaction of silver nanoparticles with Escherichia coli and their cell envelope biomolecules. J Basic Microbiol 54:905–915. doi:10.1002/jobm.201300457.
    OpenUrlCrossRefPubMed
  101. 101.↵
    1. Baba T,
    2. Ara T,
    3. Hasegawa M,
    4. Takai Y,
    5. Okumura Y,
    6. Baba M,
    7. Datsenko KA,
    8. Tomita M,
    9. Wanner BL,
    10. Mori H
    . 2006. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection. Mol Syst Biol 2:2006.0008. doi:10.1038/msb4100050.
    OpenUrlAbstract/FREE Full Text
  102. 102.↵
    1. Mazouchi A,
    2. Milstein JN
    . 2016. Fast Optimized Cluster Algorithm for Localizations (FOCAL): a spatial cluster analysis for super-resolved microscopy. Bioinformatics 32:747–754. doi:10.1093/bioinformatics/btv630.
    OpenUrlCrossRefPubMed
  103. 103.↵
    1. Zhang M,
    2. Chang H,
    3. Zhang Y,
    4. Yu J,
    5. Wu L,
    6. Ji W,
    7. Chen J,
    8. Liu B,
    9. Lu J,
    10. Liu Y,
    11. Zhang J,
    12. Xu P,
    13. Xu T
    . 2012. Rational design of true monomeric and bright photoactivatable fluorescent proteins. Nat Methods 9:727–729. doi:10.1038/nmeth.2021.
    OpenUrlCrossRefPubMedWeb of Science
  104. 104.↵
    1. Wang Y,
    2. Penkul P,
    3. Milstein JN
    . 2016. Quantitative localization microscopy reveals a novel organization of a high-copy number plasmid. Biophys J 111:467–479. doi:10.1016/j.bpj.2016.06.033.
    OpenUrlCrossRef
  105. 105.↵
    1. Sambrook J
    . 2001. Molecular cloning: a laboratory manual, 3rd ed. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY.
  106. 106.↵
    1. Edelstein A,
    2. Amodaj N,
    3. Hoover K,
    4. Vale R,
    5. Stuurman N
    . 2010. Computer control of microscopes using μManager. Curr Protoc Mol Biol Chapter 14:Unit 14.20. doi:10.1002/0471142727.mb1420s92.
    OpenUrlCrossRef
  107. 107.↵
    1. Wolter S,
    2. Löschberger A,
    3. Holm T,
    4. Aufmkolk S,
    5. Dabauvalle M-C,
    6. van de Linde S,
    7. Sauer M
    . 2012. rapidSTORM: accurate, fast open-source software for localization microscopy. Nat Methods 9:1040–1041. doi:10.1038/nmeth.2224.
    OpenUrlCrossRefPubMedWeb of Science
  108. 108.↵
    1. Wang Y,
    2. Schnitzbauer J,
    3. Hu Z,
    4. Li X,
    5. Cheng Y,
    6. Huang Z-L,
    7. Huang B
    . 2014. Localization events-based sample drift correction for localization microscopy with redundant cross-correlation algorithm. Opt Express 22:15982–15991. doi:10.1364/OE.22.015982.
    OpenUrlCrossRefPubMed
  109. 109.↵
    1. Crocker JC,
    2. Grier DG
    . 1996. Methods of digital video microscopy for colloidal studies. J Colloid Interface Sci 179:298–310. doi:10.1006/jcis.1996.0217.
    OpenUrlCrossRefWeb of Science
  110. 110.↵
    1. Allan DB,
    2. Caswell T,
    3. Keim NC,
    4. van der Wel CM
    . 2018. Trackpy: Trackpy V0.4.1. Zenodo. CERN, Geneva, Switzerland.
  111. 111.↵
    1. Ninfa AJ,
    2. Ballou DP,
    3. Benore M
    . 2009. Fundamental laboratory approaches for biochemistry and biotechnology, 2nd ed. Wiley, Hoboken, NJ.
  112. 112.↵
    1. Bradford MM
    . 1976. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem 72:248–254. doi:10.1016/0003-2697(76)90527-3.
    OpenUrlCrossRefPubMedWeb of Science
  113. 113.↵
    1. Schneider CA,
    2. Rasband WS,
    3. Eliceiri KW
    . 2012. NIH Image to ImageJ: 25 years of image analysis. Nat Methods 9:671–675. doi:10.1038/nmeth.2089.
    OpenUrlCrossRefPubMedWeb of Science
  114. 114.↵
    1. Schindelin J,
    2. Arganda-Carreras I,
    3. Frise E,
    4. Kaynig V,
    5. Longair M,
    6. Pietzsch T,
    7. Preibisch S,
    8. Rueden C,
    9. Saalfeld S,
    10. Schmid B,
    11. Tinevez J-Y,
    12. White DJ,
    13. Hartenstein V,
    14. Eliceiri K,
    15. Tomancak P,
    16. Cardona A
    . 2012. Fiji: an open-source platform for biological-image analysis. Nat Methods 9:676–682. doi:10.1038/nmeth.2019.
    OpenUrlCrossRefPubMedWeb of Science
PreviousNext
Back to top
Download PDF
Citation Tools
Silver Ions Caused Faster Diffusive Dynamics of Histone-Like Nucleoid-Structuring Proteins in Live Bacteria
Asmaa A. Sadoon, Prabhat Khadka, Jack Freeland, Ravi Kumar Gundampati, Ryan H. Manso, Mason Ruiz, Venkata R. Krishnamurthi, Suresh Kumar Thallapuranam, Jingyi Chen, Yong Wang
Applied and Environmental Microbiology Mar 2020, 86 (6) e02479-19; DOI: 10.1128/AEM.02479-19

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Print

Alerts
Sign In to Email Alerts with your Email Address
Email

Thank you for sharing this Applied and Environmental Microbiology article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Silver Ions Caused Faster Diffusive Dynamics of Histone-Like Nucleoid-Structuring Proteins in Live Bacteria
(Your Name) has forwarded a page to you from Applied and Environmental Microbiology
(Your Name) thought you would be interested in this article in Applied and Environmental Microbiology.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Silver Ions Caused Faster Diffusive Dynamics of Histone-Like Nucleoid-Structuring Proteins in Live Bacteria
Asmaa A. Sadoon, Prabhat Khadka, Jack Freeland, Ravi Kumar Gundampati, Ryan H. Manso, Mason Ruiz, Venkata R. Krishnamurthi, Suresh Kumar Thallapuranam, Jingyi Chen, Yong Wang
Applied and Environmental Microbiology Mar 2020, 86 (6) e02479-19; DOI: 10.1128/AEM.02479-19
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Top
  • Article
    • ABSTRACT
    • INTRODUCTION
    • RESULTS
    • DISCUSSION
    • MATERIALS AND METHODS
    • ACKNOWLEDGMENT
    • FOOTNOTES
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

KEYWORDS

DNA binding
antimicrobial mechanism
diffusion
single-molecule tracking
superresolution fluorescence microscopy

Related Articles

Cited By...

About

  • About AEM
  • Editor in Chief
  • Editorial Board
  • Policies
  • For Reviewers
  • For the Media
  • For Librarians
  • For Advertisers
  • Alerts
  • RSS
  • FAQ
  • Permissions
  • Journal Announcements

Authors

  • ASM Author Center
  • Submit a Manuscript
  • Article Types
  • Ethics
  • Contact Us

Follow #AppEnvMicro

@ASMicrobiology

       

ASM Journals

ASM journals are the most prominent publications in the field, delivering up-to-date and authoritative coverage of both basic and clinical microbiology.

About ASM | Contact Us | Press Room

 

ASM is a member of

Scientific Society Publisher Alliance

 

American Society for Microbiology
1752 N St. NW
Washington, DC 20036
Phone: (202) 737-3600

Copyright © 2021 American Society for Microbiology | Privacy Policy | Website feedback

 

Print ISSN: 0099-2240; Online ISSN: 1098-5336