Next Article in Journal
Genome Sequence and Assessment of Safety and Potential Probiotic Traits of Lactobacillus johnsonii CNCM I-4884
Next Article in Special Issue
Recent Antimicrobial Responses of Halophilic Microbes in Clinical Pathogens
Previous Article in Journal
New Wild-Type Lacticaseibacillus rhamnosus Strains as Candidates to Manage Type 1 Diabetes
Previous Article in Special Issue
Biomineralization by Extremely Halophilic and Metal-Tolerant Community Members from a Sulfate-Dominated Metal-Rich Environment
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Morphological Phenotypes, Cell Division, and Gene Expression of Escherichia coli under High Concentration of Sodium Sulfate

Department of Physics, University of Arkansas, Fayetteville, AR 72701, USA
*
Author to whom correspondence should be addressed.
Microorganisms 2022, 10(2), 274; https://doi.org/10.3390/microorganisms10020274
Submission received: 1 December 2021 / Revised: 13 January 2022 / Accepted: 14 January 2022 / Published: 25 January 2022
(This article belongs to the Special Issue Halophilic Microorganisms)

Abstract

:
Sodium and sulfate ions are among the suggested abundant ions on Europa, a moon of Jupiter. In order to investigate the potential habitability of Europa, we study the effects of sodium sulfate (Na2SO4) on a non-halophilic bacterium by subjecting Escherichia coli (E. coli) to a wide range of Na2SO4 concentrations (0–1.0 m). We discover that, as the concentration of sodium sulfate increases, the biomass doubling time increases and the cell growth is completely inhibited at 1.0 m Na2SO4. Furthermore, we find that E. coli exhibits three distinct morphological phenotypes—(i) shortened, (ii) normal, and (iii) elongated/filamented cells at 0.6 m and 0.8 m Na2SO4. We have examined the expression of different genes involved in sodium and sulfate transport (nhaA, nhaB, cysZ, sbp), osmotically driven transport of water (aqpZ), sulfate metabolism (cysN), fatty acid production (fabA), and a global transcriptional regulator (osmZ). Our results suggest that the expression of these genes is not affected significantly at high concentrations of sodium sulfate in the exponential growth phase. Using our experimental data and the existing data in the literature, we show that the osmotic pressure difference may play a major role in determining the growth inhibition of E. coli and B. subtilis at high concentrations of salt.

1. Introduction

Environmental conditions, such as high temperature, high pressure, hypersalinity and extremes of pH, are considered hostile to humans. However, there are other living organisms that are successfully able to grow and reproduce under these extreme conditions [1,2,3,4,5,6,7,8]. Analogs of environmental extremes on Earth also exist on other planetary bodies of the astrobiological importance. Europa, in particular, is a compelling candidate due to the presence of a global saline liquid water ocean in contact with a rocky core [9,10,11,12,13,14]. The discovery of dynamic surface features, including chaos regions, as well as remote detection of water vapor on Europa suggests that it is maintained over geologic timescales through tidal heating as Europa orbits around Jupiter [15,16]. The cycling of the ocean between the seafloor and the surface ice may yield an ocean rich with the elements and chemical energy needed to support life [17,18]. A combination of surface observation by Galileo’s near-infrared mapping spectrometer (NIMS) and geochemical modeling suggests a range of ionic composition of Europa’s ocean [19,20,21,22,23,24,25]. The subsurface ocean of Europa is hypothesized to be saline with the presumed abundance of Na + , SO 4 2 , Mg 2 + , and Cl . A geochemical model by Marion et al. places the Na + and SO 4 2 concentrations in Europa’s ocean to be 1.6 M and 3.6 M, respectively [26]. Since Europa’s surface is relatively young and active, it is suggested that the surface chemical composition may be indicative of the composition of the subsurface ocean and the evidence for potential habitability of the ocean.
In order to investigate whether the life forms that we know would be able to survive under extreme conditions that may exist on Europa, several comparative genomics and metagenomics studies have been carried out [27,28,29,30,31]. While these studies do shed light on the differences in structure and stability of biomolecules leading to their adaptation to different extremes, they do not provide a detailed picture of cellular processes that are prone to failure and their limitations. Therefore, it is essential to investigate how different environmental conditions, their magnitude and duration, affect the cellular processes of a mesophilic (adapted to normal conditions) organism.
Some of the factors that determine the cellular response and adaptation to hypersaline environments include–ionic strength, chaotropic or kosmotropic nature of ions, and osmotic pressure. To understand the effect of high salt concentration on cells, one must consider the effect of high concentration of ions on different cellular building blocks, for example, biological membranes form the interface between the cells and their surroundings. Membrane proteins, such as ion channels, carrier proteins and cell signaling receptors, allow the cells to interact and respond to external environmental changes (see Figure 1). All cells require ions for cellular functions; ion channels allow the selective transport of ions to pass through the cell membrane. However, the presence of a large number of ions, whether they are inside or outside the cell, may affect the structure, stability and functionality of biomolecules, such as proteins, RNA, and DNA [32,33,34,35,36]. The chaotropic and kosmotropic nature of ions also dictate the stability and functionality of biomolecules [37,38]. Large concentrations of ions can create an osmotic gradient between inside and outside of the cell. An increase in external osmotic pressure causes water efflux [39,40] and may lead to plasmolysis [40,41]; on the other hand, a decrease in external osmotic pressure can lead to water influx and lysis. Cells respond to different external osmotic pressures by importing or exporting solutes, restricting the water fluxes. In extreme cases, some halophiles accumulate certain salts to molar concentrations, in which some proteins function only in high salinity environments.
Sodium chloride and/or potassium chloride have been considered as models of salt for studying the effect of salinity on bacteria [40,42,43,44,45,46,47]. Since the hypothesized ionic composition of Europa’s ocean includes sodium, magnesium and sulfate ions, it is important to investigate how these salts affect the behavior of bacterial cells, and the factors that set the upper limit on the growth and viability of cells. We have recently investigated the effect of high concentration of magnesium sulfate on a halotolerant bacterium, E. coli [48], but the effect of sodium sulfate (Na2SO4) on bacterial cells has remained unclear. We have performed experiments to examine the response of E. coli to different concentrations of sodium sulfate. The objectives of our study are the following—(i) to investigate the effect of high concentration of sodium sulfate on the cellular processes of a halotolerant bacterium; (ii) to determine if cells actively regulate gene expression to counteract the effect of hyperosmolarity in the presence of very high concentrations of sodium sulfate; and (iii) to determine the limiting factor, whether it is ionic strength, nature of ions, or osmotic pressure (or water activity) for growth inhibition.

2. Materials and Methods

2.1. Cell Culture and Media

Wild-type Escherichia coli K-12 strain MG1655 was obtained from the Coli Genetic Stock Center located at Yale University, USA. Cells were grown in solid LB-media agar (1.5% agar) (BD Difco, Franklin Lakes, NJ, USA) at 37 C for 16 hours. Cells were then picked from the petri dish and grown in liquid M9 media with the supplement of 2 mM MgSO4, 0.4 % glucose and 0.4 % succinate as carbon sources at 37 C in a shaking incubator until the optical density (OD 600 ), reaches 0.8 ± 0.1 (control sample). Then the bacterial sample was diluted to OD 600 0.10 in liquid M9 media containing different concentrations of Na2SO4 (0.2–1.0 m (mol/kg)) (Alfa Aesar, Haverhill, MA, USA). The pH of the media was measured using an Orion pH meter (Thermo Scientific, Carlsbad, CA, USA) by continuous stirring of media with a magnetic stirrer. The pH of the media decreases with increasing concentration of Na2SO4, and is 6.45 ± 0.10 at 1.0 m of salt, the largest Na2SO4 concentration studied here. We have listed the pH value for different salt concentrations in Table 1. The media was filter-sterilized by passing through a 0.22   μ m filter (Thermo Scientific, Carlsbad, CA, USA). The optical density of cells, except for growth measurements, was measured using Lambda Bio UV/VIS spectrometer (PerkinElmer, Waltham, MA, USA).

2.2. Experimental Setup to Measure the Growth Curve of Bacteria

Schematic of the experimental setup used to measure the optical density, OD 488 , of bacteria in real time is shown in Figure 2. Light from an Argon-Ion laser (Spectra Physics, Santa Clara, CA, USA) of wavelength 488 nm is guided using a mirror into the sample chamber through a shutter. The shutter is controlled using a data acquisition device (DAQ) (National Instruments, Austin, TX, USA) and is only opened during the intensity measurement to avoid continuous exposure of bacterial cells to the laser. The sample chamber is equipped with a magnetic stirring system and the rate of stirring can be controlled using a control knob. Teflon coated magnetic stirrers for cuvettes were purchased from SP Bel-Art, PA, USA. A light intensity to frequency converter photodiode (AMS-TAOS, Plano, TX, USA) is used to measure the forward scattered light intensity using the DAQ. The light intensity thus measured is converted into optical density as described in the text. The temperature of the sample holder is controlled using a water circulating bath. Our experimental setup allows us to measure the optical density of the cell culture in real time without interruption.
Bacteria absorb and scatter light with an intensity that depends on the scattering angle and absorption coefficient [49]. The most common method for measuring bacterial concentration in a solution is the turbidity method in which the extinction of light is measured at a fixed angle, usually in the forward direction [50]. The optical density, OD 488 , is defined as:
OD 488 ( t ) = l o g 10 I 0 I ( t ) ,
where I 0 is the reference intensity of light with just the media, and I ( t ) is the intensity of light through the sample at time t. For the exponential growth regime, one can write down,
OD 488 ( t ) = OD 488 ( 0 ) 2 t / τ d ,
where OD 488 ( 0 ) is the optical density at time t = 0 , and τ d is the biomass doubling time, the time scale over which the biomass doubles. Note that the OD 488 is different from OD 600 measured using 600 nm light. These two wavelengths give slightly different optical density values due to different absorption and scattering cross-sections. However, the biomass doubling time measured using any of these wavelengths should not be different. We verify this by measuring biomass doubling time using our setup as shown in Figure 2, and by measuring OD 600 using the PerkinElmer UV/VIS spectrophotometer. We find that the biomass doubling time τ d = 45 ± 4 min measured using our setup is comparable to 50 ± 5 min measured using the spectrophotometer for cells grown in M9 media. The slight difference may arise due to the continuous regulation of temperature and continuous stirring of the sample, which are advantages of our experimental setup.

2.3. Imaging and the Image Analysis

For imaging, cells were grown in M9 media with the supplement of glucose, sodium succinate, 2 mM MgSO4, and different Na2SO4 concentrations to OD 600 0.8 . Phase-contrast images of cells were acquired using a SPOT imaging camera mounted on a Nikon EFD-3 microscope with a 40 × objective, immediately after the experiments to minimize the error in the morphology of the bacterial cells. For 1.0 m Na2SO4, at which we did not observe any growth, we obtained the images after growing the cells for 24 h. Images thus obtained were converted into binary images using ImageJ [51]. Binary images were subsequently analyzed using a custom MATLAB code to extract cell length.

2.4. Cell Death Assay

Bacterial samples were grown in M9 media with glucose (0.4%), sodium succinate (0.4%), 2 mM MgSO4 with different concentrations of sodium sulfate to OD 600 0.8 . The samples were then washed twice with phosphate buffer saline (PBS) and were subsequently diluted in PBS with final OD 600 ≈ 0.1. The samples were then stained with 100 ng/ml of propidium iodide (PI) and were incubated in the dark at room temperature for 45 min. Samples were further washed twice with PBS and were used to obtain the fluorescence intensities of cells (about 30,000 cells) using BD Ariafacs Fusion cell cytometer (BD Difco, Franklin Lakes, NJ, USA). The data were used to analyze the survival fraction over two biological replicates.

2.5. Primers and RT-qPCR

We also performed real-time quantitative PCR (RT-qPCR) to study the gene expression changes of E. coli at high sodium sulfate concentration. Specifically, we compared the gene expression of control cells (0 m Na2SO4) and cells at 0.8 m Na2SO4. The samples were first prepared by diluting the cells growing in M9 media (without sodium sulfate) at the mid-exponential phase (OD 600 0.7 ) to OD 600 0.1 . Subsequently, the cells were grown to mid-exponential phase in M9 media with 0 m and 0.8 m sodium sulfate. RNA was extracted using RNeasy mini kit (Qiagen, Germantown, MD, USA). The total RNA sample was treated with DNAse (Thermo Fisher Scientific, Carlsbad, CA, USA) and was converted to complementary DNA (cDNA) using the iScript cDNA synthesis kit (Bio-Rad, Hercules, CA, USA). The cDNA template was amplified using iQ SYBR Green supermix (Bio-Rad, Hercules, CA, USA) and the respective primers. The list of primers used is given in Table 2. Primers were designed using the whole genome data from GeneBank using Primer Blast software (National Center for Biotechnology Information, Bethesda, MD, USA), and were purchased from Integrated DNA Technologies (Coralville, IA, USA). The amplicon length of each primer is 150 bp. Primers were tested using melt curve analysis, and in silico PCR [52]. The amplification was performed on the Quant Studio 3 real-time PCR system (Applied Biosystems, Thermo Fisher Scientific, Carlsbad, CA, USA). The data were normalized to 16s rRNA and the comparative gene expression ( Δ Δ Ct) was calculated over two biological and two technical replicates.

3. Results

3.1. Cell Growth and Cell Death at Different Na2SO4 Concentration

E. coli cells were grown in M9 media at six different concentrations of Na2SO4: 0 m (control), 0.2 m, 0.4 m, 0.6 m, 0.8 m, and 1.0 m. All the experiments were carried out at 37 C. The optical density (OD 488 ) of the cell culture was measured using our optical density measurement setup as shown in Figure 2. In Figure 3A, we show the experimental data of the optical density (OD 488 ) (symbols) of bacterial cells as a function of time on a linear-log plot for six different concentrations of Na2SO4. We also include the instrumentation error on the optical density, Δ OD = 0.028 . For 1.0 m Na2SO4, cells did not exhibit any growth as reflected in a nearly constant optical density over the timescale of our experiment. To further check whether E. coli grew if it is exposed to 1.0 m Na2SO4 for an extended period of time, we performed another experiment by inoculating the cells for 24 h, however we did not observe any growth. We show the exponential fits (solid lines), OD 488 ( t ) = OD 488 ( 0 ) 2 t / τ d , through the experimental data, where OD 488 ( 0 ) is the initial optical density, and τ d is the mass doubling time. Fitting was performed for the data lying in the exponential growth phase for all the salt concentrations. The saturation optical density decreases upon increasing concentration of Na2SO4. The biomass doubling time, τ d , as a function of salt concentration is shown in Figure 3B. The error on τ d is estimated by assuming a Gaussian statistics for the instrumentation error, Δ OD . Biomass doubling time increases with increasing concentration of sodium sulfate. Since the cells do not exhibit any growth at 1.0 m Na2SO4, we omit the biomass doubling time at this concentration. Our results are similar to previous studies on the effect of magnesium sulfate and sodium sulfate on the growth of E. coli [48,53]. We cannot make a direct comparison with the growth data of Refs. [53,54] because the growth medium used in our study is different. However, our results are qualitatively similar to those in Refs. [53,54].
In order to quantify the survival rate of E. coli under different sodium sulfate concentrations, we stained the bacterial cells with propidium iodide (PI) as described in the Materials and Methods section. Figure 3C shows the survival fraction of the bacterial cells as a function of Na2SO4 concentrations. Cell death increases with increasing salt concentration and it escalates quickly after 0.4 m Na2SO4. The results indicate that E. coli can withstand a moderately high concentration of sodium sulfate.

3.2. Cell Division, Cell Length, and Morphological Heterogeneity

After looking at the viability of E. coli, we examine the morphology of bacterial cells at different concentrations of sodium sulfate. Figure 4 shows the representative images of bacterial cells grown at different Na2SO4 concentrations of 0 m (control), 0.2 m, 0.4 m, 0.6 m, 0.8 m, and 1.0 m. Since the cells do not grow at 1.0 m Na2SO4, images were obtained after inoculating the cells for 24 h.
For 0.6 m and 0.8 m Na2SO4, the cell population exhibits three different phenotypes—(i) cells smaller than the control cells (shortened cells); (ii) cells comparable in length to control cells; and (iii) cells longer than control cells (elongated cells). In the case of the elongated/filamented cells, the septum site is visible for a fraction of the population, but the cell division has not taken place. While for the rest of the population, we do not observe a clear indication of cell septum formation. These observations indicate that the bacterial cells have not divided and the unit cells are interconnected with each other. Therefore, we assume each of these cells to be a single cell (see Figure 4D,E).
The phase-contrast images obtained above were used to analyze and extract the cell length as described in the Materials and Methods section. In Figure 5, we show the probability distribution, P ( ) , of cell length, , for 0 m (control), 0.2 m, 0.4 m, 0.6 m, 0.8 m, and 1.0 m Na2SO4. We summarize the statistics of cell length for different concentrations of Na2SO4 in Table 3. For 0.2 m and 0.4 m Na2SO4, the probability distribution is similar to the control cells but is shifted slightly to smaller values for the cell length. However, at 0.6 m and 0.8 m concentrations, the probability distribution is long-tailed due to the presence of elongated cells in the population. Figure 6A,B shows the mean length, , and the variance, σ 2 , as a function of Na2SO4 concentration. While the variance of the cell length increases monotonically up to 0.8 m, the mean cell length appears to change non-monotonically; it decreases for 0.2 m and 0.4 m, increases for 0.6 m and 0.8 m, and decreases again at 1.0 m Na2SO4. Cell length exhibits large heterogeneities in morphology at 0.6 m and 0.8 m sodium sulfate concentrations as indicated by the coefficient of variation (CV). While the elongated cells are responsible for an increase in the average cell length, both shortened and elongated cells contribute to the variance of the cell length. Shortened cells upon increasing salt concentration may arise due to water efflux caused by osmotic pressure difference. Increased fraction of elongated cells at high salt concentration suggests that while the cells still grow, the propensity of cell division decreases with increasing salt concentration. The pH of the media decreases with increasing salt concentration with pH being 6.45 ± 0.1 at the highest concentration of Na2SO4. To test whether the pH decrease could be responsible for the changes in the growth and morphology of the cells, we performed experiments by changing the pH of the media to 6.45 ± 0.1 , the pH corresponding to the highest salt concentration (1 m) where the cell growth is inhibited. For these experiments, the pH of the media was adjusted by adding an appropriate amount of hydrochloric acid (HCl) to the M9 media with the supplement of 0.4% glucose, 0.4%succinate, and 2 mM MgSO4. The results of the growth and morphology of the cells are shown in Figure S1 in Supplementary Materials. More than a thousand cells were used to obtain the statistics of the cell length. We find that decrease of pH results in slight increase of the doubling time ( τ d = 60 ± 5 min) compared to cells grown in pH = 7.0 ( τ d = 45 ± 4 min). The morphology of the cells exhibits negligible effect as shown in the representative images and the probability distribution of the cell length at pH = 6.45 (see Figure S1B,C in the Supplementary Materials).

3.3. Reversibility of Cell Morphology upon Removal of the Salt Stress

After examining the changes in the morphology of the bacterial cells under different concentrations of sodium sulfate, we then questioned whether the effects of sodium sulfate on E. coli are permanent. For this, we look at the changes in the morphology of the cells after the salt stress is removed. The cells were cultured in 0.8 m Na2SO4 to OD 6 00 0.8 . The sample for imaging was prepared by adding a small sample (≈1 μ L ) of cells grown at 0.8 m Na2SO4 to a thin LB-agar chamber (without Na2SO4). Time-lapse images of cell growth and division were obtained at room temperature (≈23 C). Figure 7 shows an image sequence of the bacterial cells acquired over 500 min. We find that all the cells were able to go back to the morphology of the control cells after a few generations. A reversibility of the cell morphology movie from the time-lapse images is provided in the Supplementary Materials (Video S1).

3.4. Expression of Gene Involved in the Transport of Water, Sodium, Uptake and Metabolism of Sulfate, and Fatty Acid Production

Gene regulation is fundamental to cellular functions in response to environmental changes. We specifically looked at the expression of genes involved in osmotically driven transport of water (aqpZ), sodium transport (nhaA, nhaB), sulfate transport (cysZ, sbp), sulfate metabolism (cysN), fatty acid production (fabA), and a global transcriptional regulator (osmZ). We compared the expression of these genes between the bacteria grown in 0 m Na2SO4 (control cells) and 0.8 m Na2SO4 (sample cells) during the mid-exponential growth phase. Figure 8 shows the fold expression changes of these genes, 2 Δ Δ C t , between the control and the sample cells. The data are obtained by averaging over two biological and two technical replicates. The error bars were estimated from the standard error of the data for Δ C t . A value of Δ Δ C t > 0 (fold expression greater than one) would mean upregulation of the gene under the salt stress, while Δ Δ C t < 0 (fold expression less than one) would mean downregulation. The gene expression differences between the control and the sample cells are insignificant for all the genes ( Δ Δ C t 0.5 ). The expressions of cysZ and nhaB show slight upregulation. However, this is inconclusive from our data due to large variability with Δ Δ C t < 0.5 . Earlier studies of aqpZ expression in media containing NaCl found that it is downregulated in the exponential growth phase [55]; however, later studies of the effect of NaCl [56], and MgSO4 [48] did not find any changes in the expression of aqpZ in the exponential growth phase. Since we conducted our experiments for the gene expression in the exponential growth phase, our result of aqpZ expression at high salt concentration is consistent with Soupene et al. [56] and Nepal et al. [48]. The expressions of sodium/proton antiporters (nhaA, nhaB) shows an insignificant fluctuation, suggesting that the intracellular levels of sodium does not change between the control and the sample cells or the change is negligible. This is also consistent with the fact that the expression of nhaA is affected by a global regulator H-NS [57], that is transcribed by osmZ, that shows minimal changes in our results. Moreover, neither the sulfate transport nor the sulfate metabolism seem to be affected significantly at high concentration of sodium sulfate during the exponential growth phase.

3.5. Osmotic Pressure as the Limiting Factor for the Growth Inhibition

A comparison between the cell viability (fraction of live cells in the population in the exponential growth phase) in magnesium sulfate [48] and sodium sulfate suggests that bacterial cells are more viable in MgSO4 as compared to Na2SO4 at a given salt concentration. At a given salt concentration, the ionic strength of the aqueous solution in MgSO4 is larger as compared to Na2SO4. This suggests that ionic strength is not a limiting factor. Water activity and osmotic pressure of the growth medium also affect the growth and viability of cells [58,59,60,61]. Experimental data of osmotic coefficient and water activity are available for different aqueous solutions of various salts [62] at temperature 25 C, but not at 37 C. Since our experiments were performed at 37 C, we calculated the osmotic coefficient and osmotic pressure using Pitzer model [63]. The Pitzer model has been used successfully to describe the equilibrium solubility and composition for a large number of electrolytes to very high concentrations [64,65]. According to the Pitzer model, the osmotic coefficient, ϕ , of an aqueous solution of salt is calculated from
ϕ 1 = 2 m i A ϕ 1 + b I 1 / 2 + m c m a B c a ϕ + Z C c a ,
where m c and m a are the molalities of the cations and the anions, respectively. I is the ionic strength of the solution, defined as
I = 0.5 i z i 2 m i
where z i is the charge on the i th species. A ϕ , B c a ϕ , and C c a are the model parameters, b is a constant, and Z is defined as:
Z = m i | z i | .
For a detailed discussion of the Pitzer model, the readers should refer to Refs. [63,64,65,66] and the references therein. The parameters and their temperature dependence for Na2SO4 are taken from Moller et al. [67], and parameters for MgSO4 are taken from Marion et al. [66]. The water activity, a W , is given by:
a W = exp ϕ m i 55.50844 .
The osmotic pressure, Π , is related to the osmotic coefficient and the number of moles of cation and anion by
Π = R T M s V ¯ s ν m ϕ ,
where R is the Universal Gas constant, T is the temperature, M s / V ¯ s is the mass of the solvent per unit volume, m is the molality of the solution, and ν = ν c + ν a is the total number of moles of cations and anions per mole of the salt in the solution. For example, the total number of moles, ν , for Na2SO4 and MgSO4 are 3 and 2, respectively. We have assumed that V ¯ s is of the pure solvent.
Figure 9A,B shows the calculated values of the water activity and the osmotic pressure as a function of salt concentration, respectively. Figure 9A shows that, even though the water activity decreases with increasing salt concentrations for sodium sulfate and magnesium sulfate, the value is still larger than the limiting water activity a W 0.6 [58], where the microbial growth is inhibited. However, limiting water activity can vary depending on the organisms [60,61]. The concept of water activity is well established [68], and it has been used as an effective determinant for the physiological state of cells [58,61,69]. Even though water activity is a useful index, it does not provide ample information about failure of a particular cellular process as it may affect many cellular processes [70,71]. Moreover, water activity does not provide a complete determination of the state of water, particularly in protein unfolding [72]. Water activity is also related to osmotic pressure. As a result of this relationship, limiting water activity also entails the corresponding limiting osmotic pressure (see Figure S2 in the Supplementary Materials). Our gene expression results show an insignificant increase in the uptake of sodium and sulfate ions at 0.8 m Na2SO4. Our results further suggest that there is a gradual increase in membrane deterioration with increasing salt concentration as evident from the propidium iodide staining. The resulting cell death may arise from membrane rupture due to osmotic pressure difference between intracellular and extracellular regions. We next explore the limit of growth in terms of osmotic pressure as it provides a mechanistic picture of growth inhibition in our context.
For both Na2SO4 and MgSO4 solutions, the changes in the external osmotic pressure of the growth media could be as high as 50 atm (not counting the osmotic pressure due to M9 media) for the range of salt concentrations considered here. Furthermore, the osmotic pressure of Na2SO4 solution increases more rapidly as compared to MgSO4 solution with increasing salt concentration. To investigate whether the changes in the osmotic pressure of the external media is the limiting factor for growth of the bacterial cells, we then compared the osmotic pressures where the cell growth is inhibited in both MgSO4 and Na2SO4, henceforth termed the limiting osmotic pressure. Cell growth ceases at 1.66 m MgSO4 [48] and 1.0 m Na2SO4. The osmotic pressures corresponding to these concentrations are ≈44 atm and ≈50 atm, respectively, which are similar in magnitude. We further use the recent data of Stevens et al. [54] that have performed a systematic study of the limiting salt concentrations for the growth of B. subtilis, another non-halophilic bacterium, under various salt compositions. We calculated the osmotic pressure of nine different salts—(i) MgCl2, (ii) CaCl2, (iii) K2SO4, (iv) NaCl, (v) KCl, (vi) FeSO4, (vii) Mg(ClO4)2, (viii) NaClO4, and (ix) Ca(ClO4)2, besides Na2SO4 and MgSO4 as a function of their aqueous concentrations using the Pitzer model at T = 37 C. The parameters for the Pitzer model (Equation (3)) and their temperature dependence is taken from Ref. [66]. In Figure 10, we show the osmotic pressure, Π , as a function of concentration of various salts. We also show the limiting concentration of salts for growth inhibition found for B. Subtilis by Stevens et al. (as circles) and the limiting salt concentrations from our studies of E. coli in MgSO4 and Na2SO4 (as squares). We find that besides one exception Ca(ClO4)2, the osmotic pressure corresponding to the limiting salt concentration for different salts lies between 40 atm and 60 atm, irrespective of the nature of the salt. Enhanced chaotropicity of Ca(ClO4)2 could be a plausible factor for the discrepancy between Ca(ClO4)2 and other salts [61]. It is also worthwhile to note that the limiting osmotic pressure is the same for a gram-positive bacterium (B. subtilis) and a gram-negative bacterium (E. coli).

4. Discussion

In summary, we have studied the effect of high concentrations of sodium sulfate on cell growth, death, morphology, cell division, and gene expressions of a halotolerant bacterium E. coli. We find that E. coli can tolerate moderately high concentrations of sodium sulfate. The growth rate decreases with increasing salt concentration up to 0.8 m Na2SO4, and ultimately ceases beyond ≥1.0 m. Our results are similar to earlier studies on the effect of on the growth of E. coli under high concentration of magnesium sulfate [48]. We find that cell death increases with increasing salt concentrations.
We also examined the cell division and cell morphology under high concentrations of sodium sulfate. We find that average cell length decreases up to 0.4 m and increases between 0.4 m and 0.8 m Na2SO4. For 0.6 m and 0.8 m sodium sulfate concentrations, cells exhibit three distinct morphologies—cells shorter than the control cells, cells comparable to control cells, and elongated cells. The shortening of cells with increasing Na2SO4 concentration may arise due to water efflux, while elongated cells in the population arise due to lack of cell division. Cell elongation has also been reported for other stressors such as high hydrostatic pressure [50,73], high concentration of magnesium sulfate [48], high temperature [74], antibiotic treatment [75], and DNA damage [76]. There are two important questions that remain unanswered—(i) why the cell elongation occurs, and whether it is some form of evolutionary adaptation of the cells under stress conditions? and (ii) what are the physical mechanisms responsible for the elongation/filamentation of cells? While the former is an important inquiry, it is also challenging to answer. Therefore, we will only discuss the plausible physical mechanisms for cell filamentation observed here. Cell division in E. coli is coordinated by a complex divisome machinery involving a large number of proteins, including FtsZ, FtsA, FtsI, FtsL, FtsN, FtsQ, FtsW, ZipA, ZapA, MinD, and MinE, among others [77,78]. FtsZ, in particular, is involved in the synthesis of the division septum, and is essential for the constriction of the septal wall [79,80]. Lack of FtsZ in E. coli leads to cell filamentation [81,82]. The presence of FtsZ itself does not guarantee the cell division, but the polymerization of FtsZ into Z-ring at the site of constriction is critical for cell division [83,84]. In the cases of high hydrostatic pressure, it was shown that the propensity of FtsZ localization and polymerization into Z-ring decreases, and hence the inhibition of cell division at high pressure [85]. Many of the cell division proteins require anchoring to the membrane in order to be localized [77]. Therefore, for the cell division machinery to function correctly, a large number of biophysical processes must be considered, including membrane integrity, localization, and polymerization kinetics of cell division proteins. Moreover, the dynamics of cell division is coupled to the cell wall elongation and cell growth [86] that also requires localization and polymerization of many cytoskeletal proteins including MreB [87,88]. Our results of cell viability suggest cell wall damage and deterioration of membrane integrity at high salt concentration may affect localization and polymerization kinetics of many of the proteins involved in cell division and cell growth. Further experiments would be required to answer some of these questions. The heterogeneity in cell division, and hence morphology may arise due to heterogeneities in gene expression and stochastic nature of the cellular processes [50,89,90]. We find that the cells grown at high salt concentrations revert to normal morphology upon removing the salt stress. The dynamics of the reversibility of the cell division with heterogeneous morphology upon the removal of the salt stress will be a subject of future investigation.
We also investigated the expression of genes involved in the regulation of various cellular processes. Specifically, we compared the expression of different genes between the control cells (0 m Na2SO4) and the cells grown at high salt concentration ( 0.8 m Na2SO4). Our results indicate that the expression level of these genes does not change significantly in the exponential growth phase at 0.8 m Na2SO4. AqpZ, an aquaporin channel, is implicated in the osmotically driven transport of water [55,56,91]. Earlier studies of hyperosmotic conditions on E. coli indicate that aqpZ is upregulated in the stationary growth phase and not in the exponential growth phase [56], which is consistent with no upregulation for aqpZ in the exponential growth phase. The shrinkage of cells observed at high salt concentrations could arise due to slow diffusion of water between the cell and the external environment. CysZ, a high affinity sulfate transporter mediates the transport of sulfate for cysteine synthesis [92], while Sbp, a periplasmic protein, is involved in the uptake of sulfate and thiosulfate [93]. Furthermore, the expression of both cysZ and sbp are not affected at high sodium sulfate concentration, indicating no up/down regulation of sulfate transport by CysZ or Sbp. If there is an increase in sulfate uptake with increasing Na2SO4 concentration, it is likely carried out by other transporters such as CysP, as found for MgSO4 [48]. The production of CysN, a unit of sulfate adenylyltransferase required for sulfate assimilation [94], does not change at high Na2SO4 concentration. Furthermore, we find that the activity of sodium antiporters, nhaA and nhaB, show no changes in the presence of high concentration of Na2SO4. In E. coli, nhaA expression is induced by the increased intracellular levels of Na + [95]. No expression changes of nhaA suggests that either the intracellular level of Na + does not change or is regulated by another mechanism. H-NS, transcribed by osmC, regulates the expression of nhaA [96]. Therefore, our results of no expression changes of nhaA is consistent with no expression changes of osmC. Fatty acids are the precursor to phospholipids, the building blocks of cell membrane. By changing the degree of saturation, cells can regulate the rigidity/fluidity of cell membrane. Membrane fluidity decreases under hyperosmotic conditions [97,98]. Therefore, one may expect that in the presence of high external osmotic pressure, cells may rigidify the membrane by increasing the levels of saturated fatty acids and/or decreasing the proportion of unsaturated fatty acids. Overproduction of fabA in E. coli is shown to increase the levels of saturated fatty acids with no increase of unsaturated fatty acid levels [99]. We find that the expression of fabA does not change at high concentration ( 0.8 m) of sodium sulfate. An earlier study on the effect of sodium chloride on E. coli suggests a monotonous increase of fabA expression with the salt concentration up to 5 % NaCl ( 0.85 m) [100], in the presence of glycine betaine. The presence of glycine betaine, an osmoprotectant, in the study of Ref. [100] makes it difficult to compare with our results.
Several factors affect the growth of a cell and its inhibition in hyperosmolar environments including chaotropic and kosmotropic nature of ions, ionic strength, water activity or osmotic pressure. We use our data of E. coli in Na2SO4 and MgSO4 [48] along with the limiting salt concentration data of Stevens et al. [54] for B. subtilis in different salts, and find that the osmotic pressure difference may play a major role in determining the growth inhibition of non-halophilic bacteria at high salt concentrations. Specifically, limiting osmotic pressures for all the salts lie between 40 atm and 60 atm except Ca(ClO4)2, for which the limiting osmotic pressure is smaller (≈25 atm). The reason for cell growth inhibition in Ca(ClO4)2 at a smaller osmotic pressure (or larger water activity) may stem from enhanced chaotropicity of Ca(ClO4)2 [61].
Saline environments are also proposed for other icy bodies, such as Ceres [101,102], and therefore our results are important for understanding the potential habitability of these moons. The conditions on icy moons, including Europa, do not only include hyperosmolar environments but also high pressure and presumably extremes of temperature. We have only investigated the behavior of E. coli under one condition, varying concentrations of sodium sulfate. Future studies on the behavior of cells under a combination of environmental conditions, such as pressure, temperature, and high salt concentration or a combination of salts, are needed to further understand the viability of a non-halophilic bacterium under the physicochemical conditions that may exist on these celestial bodies.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/microorganisms10020274/s1, Figure S1: Cell growth and cell morphology at pH 6.45, Figure S2: Limiting water activity of B. subtilis and E. coli in different salts, Video S1: Reversibility of morphology of cells upon removal of the salt stress.

Author Contributions

P.K. conceived and designed the research, K.N. and P.K. performed the research, analyzed the data and wrote the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Data will be made available upon publication.

Acknowledgments

The authors would like to thank B.R. Wagle for help with qPCR experiments and Steven Murray and Sudip Nepal for helpful discussion.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Yayanos, A.A.; Dietz, A.S.; Van Boxtel, R. Dependence of reproduction rate on pressure as a hallmark of deep-sea bacteria. Appl. Environ. Microbiol. 1982, 44, 1356–1361. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Kato, C.; Sato, T.; Horikoshi, K. Isolation and properties of barophilic and barotolerant bacteria from deep-sea mud samples. Biodivers. Conserv. 1995, 4, 1–9. [Google Scholar] [CrossRef]
  3. Brock, T.D.; Freeze, H. Thermus aquaticus gen. n. and sp. n., a nonsporulating extreme thermophile. J. Bacteriol. 1969, 98, 289–297. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Huston, A.L.; Krieger-Brockett, B.B.; Deming, J.W. Remarkably low temperature optima for extracellular enzyme activity from Arctic bacteria and sea ice. Environ. Microbiol. 2000, 2, 383–388. [Google Scholar] [CrossRef]
  5. Antón, J.; Oren, A.; Benlloch, S.; Rodríguez-Valera, F.; Amann, R.; Rosselló-Mora, R. Salinibacter ruber gen. nov., sp. nov., a novel, extremely halophilic member of the Bacteria from saltern crystallizer ponds. Int. J. Syst. Evol. Microbiol. 2002, 52, 485–491. [Google Scholar] [CrossRef]
  6. Horikoshi, K.; Antranikian, G.; Bull, A.T.; Robb, F.T.; Stetter, K.O. Extremophiles Handbook; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2010. [Google Scholar]
  7. Horikoshi, K.; Akiba, T. Alkalophilic Microorganisms: A New Microbial World; Springer: Berlin/Heidelberg, Germany, 1982. [Google Scholar]
  8. Schleper, C.; Pühler, G.; Kühlmorgen, B.; Zillig, W. Life at extremely low pH. Nature 1995, 375, 741–742. [Google Scholar] [CrossRef]
  9. Cassen, P.; Reynolds, R.T.; Peale, S. Is there liquid water on Europa? Geophys. Res. Lett. 1979, 6, 731–734. [Google Scholar] [CrossRef]
  10. Squyres, S.W.; Reynolds, R.T.; Cassen, P.M.; Peale, S.J. Liquid water and active resurfacing on Europa. Nature 1983, 301, 225–226. [Google Scholar] [CrossRef]
  11. Pappalardo, R.T.; Belton, M.J.; Breneman, H.; Carr, M.; Chapman, C.R.; Collins, G.; Denk, T.; Fagents, S.; Geissler, P.E.; Giese, B.; et al. Does Europa have a subsurface ocean? Evaluation of the geological evidence. J. Geophys. Res. Planets 1999, 104, 24015–24055. [Google Scholar]
  12. Schmidt, B.; Blankenship, D.D.; Patterson, G.; Schenk, P. Active formation of ‘chaos terrain’ over shallow subsurface water on Europa. Nature 2011, 479, 502–505. [Google Scholar] [CrossRef]
  13. Gaidos, E.J.; Nimmo, F. Planetary science: Tectonics and water on Europa. Nature 2000, 405, 637. [Google Scholar] [CrossRef] [PubMed]
  14. Manga, M.; Wang, C.Y. Pressurized oceans and the eruption of liquid water on Europa and Enceladus. Geophys. Res. Lett. 2007, 34, L07202. [Google Scholar] [CrossRef] [Green Version]
  15. Roth, L.; Saur, J.; Retherford, K.D.; Strobel, D.F.; Feldman, P.D.; McGrath, M.A.; Nimmo, F. Transient water vapor at Europa’s south pole. Science 2014, 343, 171–174. [Google Scholar] [CrossRef] [PubMed]
  16. Sparks, W.B.; Hand, K.; McGrath, M.; Bergeron, E.; Cracraft, M.; Deustua, S. Probing for evidence of plumes on Europa with HST/STIS. Astrophys. J. 2016, 829, 121. [Google Scholar] [CrossRef] [Green Version]
  17. Chyba, C.F. Energy for microbial life on Europa. Nature 2000, 403, 381–382. [Google Scholar] [CrossRef]
  18. Chyba, C.F.; Hand, K.P. Life without photosynthesis. Science 2001, 292, 2026–2027. [Google Scholar] [CrossRef]
  19. McCord, T.; Hansen, G.; Fanale, F.; Carlson, R.; Matson, D.; Johnson, T.; Smythe, W.; Crowley, J.; Martin, P.; Ocampo, A.; et al. Salts on Europa’s surface detected by Galileo’s near infrared mapping spectrometer. Science 1998, 280, 1242–1245. [Google Scholar] [CrossRef]
  20. Dalton, J.B., III. Linear mixture modeling of Europa’s non-ice material based on cryogenic laboratory spectroscopy. Geophys. Res. Lett. 2007, 34, L21205. [Google Scholar] [CrossRef]
  21. Dalton, J., III; Pitman, K. Low temperature optical constants of some hydrated sulfates relevant to planetary surfaces. J. Geophys. Res. Planets 2012, 117, E0900. [Google Scholar] [CrossRef]
  22. Zolotov, M.Y.; Shock, E.L. Composition and stability of salts on the surface of Europa and their oceanic origin. J. Geophys. Res. Planets 2001, 106, 32815–32827. [Google Scholar] [CrossRef] [Green Version]
  23. Kargel, J.S.; Kaye, J.Z.; Head III, J.W.; Marion, G.M.; Sassen, R.; Crowley, J.K.; Ballesteros, O.P.; Grant, S.A.; Hogenboom, D.L. Europa’s crust and ocean: Origin, composition, and the prospects for life. Icarus 2000, 148, 226–265. [Google Scholar] [CrossRef] [Green Version]
  24. Zolotov, M.Y. Aqueous fluid composition in CI chondritic materials: Chemical equilibrium assessments in closed systems. Icarus 2012, 220, 713–729. [Google Scholar] [CrossRef]
  25. Marion, G.M. A molal-based model for strong acid chemistry at low temperatures (<200 to 298 K). Geochim. Cosmochim. Acta 2002, 66, 2499–2516. [Google Scholar]
  26. Marion, G.M.; Kargel, J.S.; Catling, D.C.; Jakubowski, S.D. Effects of pressure on aqueous chemical equilibria at subzero temperatures with applications to Europa. Geochim. Cosmochim. Acta 2005, 69, 259–274. [Google Scholar] [CrossRef]
  27. Hedlund, B.P.; Dodsworth, J.A.; Murugapiran, S.K.; Rinke, C.; Woyke, T. Impact of single-cell genomics and metagenomics on the emerging view of extremophile “microbial dark matter”. Extremophiles 2014, 18, 865–875. [Google Scholar] [CrossRef] [PubMed]
  28. Sawle, L.; Ghosh, K. How do thermophilic proteins and proteomes withstand high temperature? Biophys. J. 2011, 101, 217–227. [Google Scholar] [CrossRef] [Green Version]
  29. Greenbaum, B.D.; Kumar, P.; Libchaber, A. Using First Passage Statistics to Extract Environmentally Dependent Amino Acid Correlations. PLoS ONE 2014, 9, e101665. [Google Scholar] [CrossRef] [PubMed]
  30. Omelchenko, M.V.; Wolf, Y.I.; Gaidamakova, E.K.; Matrosova, V.Y.; Vasilenko, A.; Zhai, M.; Daly, M.J.; Koonin, E.V.; Makarova, K.S. Comparative genomics of Thermus thermophilus and Deinococcus radiodurans: Divergent routes of adaptation to thermophily and radiation resistance. BMC Evol. Biol. 2005, 5, 57. [Google Scholar] [CrossRef] [Green Version]
  31. Sælensminde, G.; Halskau, Ø.; Helland, R.; Willassen, N.P.; Jonassen, I. Structure-dependent relationships between growth temperature of prokaryotes and the amino acid frequency in their proteins. Extremophiles 2007, 11, 585–596. [Google Scholar] [CrossRef]
  32. Sinha, N.; Smith-Gill, S.J. Electrostatics in protein binding and function. Curr. Protein Pept. Sci. 2002, 3, 601–614. [Google Scholar] [CrossRef]
  33. Draper, D.E. A guide to ions and RNA structure. RNA 2004, 10, 335–343. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Tan, Z.J.; Chen, S.J. Salt contribution to RNA tertiary structure folding stability. Biophys. J. 2011, 101, 176–187. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Tan, Z.J.; Chen, S.J. Nucleic acid helix stability: Effects of salt concentration, cation valence and size, and chain length. Biophys. J. 2006, 90, 1175–1190. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Maity, A.; Singh, A.; Singh, N. Differential stability of DNA based on salt concentration. Eur. Biophys. J. 2017, 46, 33–40. [Google Scholar] [CrossRef] [Green Version]
  37. Tadeo, X.; López-Méndez, B.; Castaño, D.; Trigueros, T.; Millet, O. Protein stabilization and the Hofmeister effect: The role of hydrophobic solvation. Biophys. J. 2009, 97, 2595–2603. [Google Scholar] [CrossRef] [Green Version]
  38. Cray, J.A.; Russell, J.T.; Timson, D.J.; Singhal, R.S.; Hallsworth, J.E. A universal measure of chaotropicity and kosmotropicity. Environ. Microbiol. 2013, 15, 287–296. [Google Scholar] [CrossRef]
  39. Koch, A.L. Shrinkage of growing Escherichia coli cells by osmotic challenge. J. Bacteriol. 1984, 159, 919–924. [Google Scholar] [CrossRef] [Green Version]
  40. Rojas, E.; Theriot, J.A.; Huang, K.C. Response of Escherichia coli growth rate to osmotic shock. Proc. Natl. Acad. Sci. USA 2014, 111, 7807–7812. [Google Scholar] [CrossRef] [Green Version]
  41. Cota-Robles, E.H. Electron microscopy of plasmolysis in Escherichia coli. J. Bacteriol. 1963, 85, 499–503. [Google Scholar] [CrossRef] [Green Version]
  42. Csonka, L.N. Physiological and genetic responses of bacteria to osmotic stress. Microbiol. Mol. Biol. Rev. 1989, 53, 121–147. [Google Scholar] [CrossRef]
  43. Romantsov, T.; Guan, Z.; Wood, J.M. Cardiolipin and the osmotic stress responses of bacteria. Biochim. Biophys. Acta (BBA) Biomembr. 2009, 1788, 2092–2100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Sleator, R.D.; Hill, C. Bacterial osmoadaptation: The role of osmolytes in bacterial stress and virulence. FEMS Microbiol. Rev. 2002, 26, 49–71. [Google Scholar] [CrossRef] [Green Version]
  45. Nossal, N.G.; Heppel, L.A. The release of enzymes by osmotic shock from Escherichia coli in exponential phase. J. Biol. Chem. 1966, 241, 3055–3062. [Google Scholar] [CrossRef]
  46. Sledjeski, D.D.; Gottesman, S. Osmotic shock induction of capsule synthesis in Escherichia coli K-12. J. Bacteriol. 1996, 178, 1204–1206. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Anraku, Y. The reduction and restoration of galactose transport in osmotically shocked cells of Escherichia coli. J. Biol. Chem. 1967, 242, 793–800. [Google Scholar] [CrossRef]
  48. Nepal, S.; Kumar, P. Growth, Cell Division, and Gene Expression of Escherichia coli at Elevated Concentrations of Magnesium Sulfate: Implications for Habitability of Europa and Mars. Microorganisms 2020, 8, 637. [Google Scholar] [CrossRef] [PubMed]
  49. Hulst, H.C.; van de Hulst, H.C. Light Scattering by Small Particles; Dover Publications, Inc.: Mineola, NY, USA, 1981. [Google Scholar]
  50. Kumar, P.; Libchaber, A. Pressure and temperature dependence of growth and morphology of Escherichia coli: Experiments and stochastic model. Biophys. J. 2013, 105, 783–793. [Google Scholar] [CrossRef] [Green Version]
  51. Schneider, C.A.; Rasband, W.S.; Eliceiri, K.W. NIH Image to ImageJ: 25 Years of image analysis. Nat. Methods 2012, 9, 671–675. [Google Scholar] [CrossRef]
  52. Bikandi, J.; Millán, R.S.; Rementeria, A.; Garaizar, J. In silico analysis of complete bacterial genomes: PCR, AFLP–PCR and endonuclease restriction. Bioinformatics 2004, 20, 798–799. [Google Scholar] [CrossRef] [Green Version]
  53. Cockell, C.S.; McLean, C.M.; Perera, L.; Aka, S.; Stevens, A.; Dickinson, A.W. Growth of Non-Halophilic Bacteria in the Sodium–Magnesium–Sulfate–Chloride Ion System: Unravelling the Complexities of Ion Interactions in Terrestrial and Extraterrestrial Aqueous Environments. Astrobiology 2020, 20, 944–955. [Google Scholar] [CrossRef]
  54. Stevens, A.H.; Cockell, C.S. A Systematic Study of the Limits of Life in Mixed Ion Solutions: Physicochemical Parameters Do Not Predict Habitability. Front. Microbiol. 2020, 11, 1478. [Google Scholar] [CrossRef] [PubMed]
  55. Calamita, G.; Kempf, B.; Bonhivers, M.; Bishai, W.R.; Bremer, E.; Agre, P. Regulation of the Escherichia coli water channel gene aqpZ. Proc. Natl. Acad. Sci. USA 1998, 95, 3627–3631. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Soupene, E.; King, N.; Lee, H.; Kustu, S. Aquaporin Z of Escherichia coli: Reassessment of its regulation and physiological role. J. Bacteriol. 2002, 184, 4304–4307. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Dover, N.; Higgins, C.; Carmel, O.; Rimon, A.; Pinner, E.; Padan, E. Na+-induced transcription of nhaA, which encodes an Na+/H+ antiporter in Escherichia coli, is positively regulated by nhaR and affected by hns. J. Bacteriol. 1996, 178, 6508–6517. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Stevenson, A.; Cray, J.A.; Williams, J.P.; Santos, R.; Sahay, R.; Neuenkirchen, N.; McClure, C.D.; Grant, I.R.; Houghton, J.D.; Quinn, J.P.; et al. Is there a common water-activity limit for the three domains of life? ISME J. 2015, 9, 1333–1351. [Google Scholar] [CrossRef] [Green Version]
  59. De Lima Alves, F.; Stevenson, A.; Baxter, E.; Gillion, J.L.; Hejazi, F.; Hayes, S.; Morrison, I.E.; Prior, B.A.; McGenity, T.J.; Rangel, D.E.; et al. Concomitant osmotic and chaotropicity-induced stresses in Aspergillus wentii: Compatible solutes determine the biotic window. Curr. Genet. 2015, 61, 457–477. [Google Scholar] [CrossRef]
  60. Zajc, J.; Džeroski, S.; Kocev, D.; Oren, A.; Sonjak, S.; Tkavc, R.; Gunde-Cimerman, N. Chaophilic or chaotolerant fungi: A new category of extremophiles? Front. Microbiol. 2014, 5, 708. [Google Scholar] [CrossRef] [Green Version]
  61. Heinz, J.; Rambags, V.; Schulze-Makuch, D. Physicochemical Parameters Limiting Growth of Debaryomyces hansenii in Solutions of Hygroscopic Compounds and Their Effects on the Habitability of Martian Brines. Life 2021, 11, 1194. [Google Scholar] [CrossRef]
  62. Rard, J.A.; Miller, D.G. Isopiestic determination of the Osmotic coefficients of aqueous sodium sulfate, magnesium sulfate, and sodium sulfate-magnesium sulfate at 25. degree. C. J. Chem. Eng. Data 1981, 26, 33–38. [Google Scholar] [CrossRef]
  63. Pitzer, K.S. Activity Coefficients in Electrolyte Solutions; CRC Press: Boca Raton, FL, USA, 2018. [Google Scholar]
  64. Marion, G.M.; Grant, S.A. FREZCHEM: A Chemical-Thermodynamic Model for Aqueous Solutions at Subzero Temperatures; Technical Report; Cold Regions Research and Engineering Lab Hanover NH: Hanover, NH, USA, 1994. [Google Scholar]
  65. Marion, G.M.; Kargel, J.S. Cold Aqueous Planetary Geochemistry with FREZCHEM: From Modeling to the Search for Life at the Limits; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2007. [Google Scholar]
  66. Marion, G.M.; Mironenko, M.V.; Roberts, M.W. FREZCHEM: A geochemical model for cold aqueous solutions. Comput. Geosci. 2010, 36, 10–15. [Google Scholar] [CrossRef]
  67. Møller, N. The prediction of mineral solubilities in natural waters: A chemical equilibrium model for the Na-Ca-Cl-SO4-H2O system, to high temperature and concentration. Geochim. Cosmochim. Acta 1988, 52, 821–837. [Google Scholar] [CrossRef]
  68. Scott, W. Water relations of food spoilage microorganisms. In Advances in Food Research; Elsevier: Amsterdam, The Netherlands, 1957; Volume 7, pp. 83–127. [Google Scholar]
  69. Fontana, A. Minimum water activity limits for growth of microorganisms. Water Act. Foods Fundam. Appl. 2007, 405, 405. [Google Scholar]
  70. Cayley, S.; Lewis, B.A.; Guttman, H.J.; Record, M.T., Jr. Characterization of the cytoplasm of Escherichia coli K-12 as a function of external osmolarity: Implications for protein-DNA interactions in vivo. J. Mol. Biol. 1991, 222, 281–300. [Google Scholar] [CrossRef]
  71. Svensson, I.; Wehtje, E.; Adlercreutz, P.; Mattiasson, B. Effects of water activity on reaction rates and equilibrium positions in enzymatic esterifications. Biotechnol. Bioeng. 1994, 44, 549–556. [Google Scholar] [CrossRef]
  72. Franks, F. Water activity: A credible measure of food safety and quality? Trends Food Sci. Technol. 1991, 2, 68–72. [Google Scholar] [CrossRef]
  73. ZoBell, C.E.; Johnson, F.H. The influence of hydrostatic pressure on the growth and viability of terrestrial and marine bacteria. J. Bacteriol. 1949, 57, 179–189. [Google Scholar] [CrossRef] [Green Version]
  74. Jones, T.; Gill, C.; McMullen, L. The behaviour of log phase Escherichia coli at temperatures that fluctuate about the minimum for growth. Lett. Appl. Microbiol. 2004, 39, 296–300. [Google Scholar] [CrossRef]
  75. Suzuki, H.; Pangborn, J.; Kilgore, W.W. Filamentous cells of Escherichia coli formed in the presence of mitomycin. J. Bacteriol. 1967, 93, 683–688. [Google Scholar] [CrossRef] [Green Version]
  76. Adler, H.I.; Hardigree, A.A. Growth and division of filamentous forms of Escherichia coli. J. Bacteriol. 1965, 90, 223–226. [Google Scholar] [CrossRef] [Green Version]
  77. Margolin, W. Themes and variations in prokaryotic cell division. FEMS Microbiol. Rev. 2000, 24, 531–548. [Google Scholar] [CrossRef]
  78. Hale, C.A.; De Boer, P.A. ZipA is required for recruitment of FtsK, FtsQ, FtsL, and FtsN to the septal ring in Escherichia coli. J. Bacteriol. 2002, 184, 2552–2556. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Bisson-Filho, A.W.; Hsu, Y.P.; Squyres, G.R.; Kuru, E.; Wu, F.; Jukes, C.; Sun, Y.; Dekker, C.; Holden, S.; VanNieuwenhze, M.S.; et al. Treadmilling by FtsZ filaments drives peptidoglycan synthesis and bacterial cell division. Science 2017, 355, 739–743. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  80. Yang, X.; Lyu, Z.; Miguel, A.; McQuillen, R.; Huang, K.C.; Xiao, J. GTPase activity–Coupled treadmilling of the bacterial tubulin FtsZ organizes septal cell wall synthesis. Science 2017, 355, 744–747. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  81. Dai, K.; Lutkenhaus, J. ftsZ is an essential cell division gene in Escherichia coli. J. Bacteriol. 1991, 173, 3500–3506. [Google Scholar] [CrossRef] [Green Version]
  82. Ma, X.; Ehrhardt, D.W.; Margolin, W. Colocalization of cell division proteins FtsZ and FtsA to cytoskeletal structures in living Escherichia coli cells by using green fluorescent protein. Proc. Natl. Acad. Sci. USA 1996, 93, 12998–13003. [Google Scholar] [CrossRef] [Green Version]
  83. Bi, E.; Lutkenhaus, J. FtsZ ring structure associated with division in Escherichia coli. Nature 1991, 354, 161–164. [Google Scholar] [CrossRef]
  84. Addinall, S.G.; Lutkenhaus, J. FtsZ-spirals and-arcs determine the shape of the invaginating septa in some mutants of Escherichia coli. Mol. Microbiol. 1996, 22, 231–237. [Google Scholar] [CrossRef]
  85. Ishii, A.; Sato, T.; Wachi, M.; Nagai, K.; Kato, C. Effects of high hydrostatic pressure on bacterial cytoskeleton FtsZ polymers in vivo and in vitro. Microbiology 2004, 150, 1965–1972. [Google Scholar] [CrossRef] [Green Version]
  86. Szwedziak, P.; Löwe, J. Do the divisome and elongasome share a common evolutionary past? Curr. Opin. Microbiol. 2013, 16, 745–751. [Google Scholar] [CrossRef]
  87. Garner, E.C.; Bernard, R.; Wang, W.; Zhuang, X.; Rudner, D.Z.; Mitchison, T. Coupled, circumferential motions of the cell wall synthesis machinery and MreB filaments in B. subtilis. Science 2011, 333, 222–225. [Google Scholar] [CrossRef] [Green Version]
  88. Ursell, T.S.; Nguyen, J.; Monds, R.D.; Colavin, A.; Billings, G.; Ouzounov, N.; Gitai, Z.; Shaevitz, J.W.; Huang, K.C. Rod-like bacterial shape is maintained by feedback between cell curvature and cytoskeletal localization. Proc. Natl. Acad. Sci. USA 2014, 111, E1025–E1034. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Elowitz, M.B.; Levine, A.J.; Siggia, E.D.; Swain, P.S. Stochastic gene expression in a single cell. Science 2002, 297, 1183–1186. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  90. Kerr, R.A.; Levine, H.; Sejnowski, T.J.; Rappel, W.J. Division accuracy in a stochastic model of Min oscillations in Escherichia coli. Proc. Natl. Acad. Sci. USA 2006, 103, 347–352. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  91. Calamita, G. The Escherichia coli aquaporin-Z water channel: MicroReview. Mol. Microbiol. 2000, 37, 254–262. [Google Scholar] [CrossRef] [PubMed]
  92. Zhang, L.; Jiang, W.; Nan, J.; Almqvist, J.; Huang, Y. The Escherichia coli CysZ is a pH dependent sulfate transporter that can be inhibited by sulfite. Biochim. Biophys. Acta (BBA) Biomembr. 2014, 1838, 1809–1816. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Kertesz, M.A.; Leisinger, T.; Cook, A.M. Proteins induced by sulfate limitation in Escherichia coli, Pseudomonas putida, or Staphylococcus aureus. J. Bacteriol. 1993, 175, 1187–1190. [Google Scholar] [CrossRef] [Green Version]
  94. Leyh, T.; Taylor, J.; Markham, G. The sulfate activation locus of Escherichia coli K12: Cloning, genetic, and enzymatic characterization. J. Biol. Chem. 1988, 263, 2409–2416. [Google Scholar] [CrossRef]
  95. Karpel, R.; Alon, T.; Glaser, G.; Schuldiner, S.; Padan, E. Expression of a sodium proton antiporter (NhaA) in Escherichia coli is induced by Na+ and Li+ ions. J. Biol. Chem. 1991, 266, 21753–21759. [Google Scholar] [CrossRef]
  96. Padan, E.; Tzubery, T.; Herz, K.; Kozachkov, L.; Rimon, A.; Galili, L. NhaA of Escherichia coli, as a model of a pH-regulated Na+/H+ antiporter. Biochim. Biophys. Acta (BBA) Bioenerg. 2004, 1658, 2–13. [Google Scholar] [CrossRef] [Green Version]
  97. Yamazaki, M.; Ohnishi, S.; Ito, T. Osmoelastic coupling in biological structures: Decrease in membrane fluidity and osmophobic association of phospholipid vesicles in response to osmotic stress. Biochemistry 1989, 28, 3710–3715. [Google Scholar] [CrossRef]
  98. Laroche, C.; Beney, L.; Marechal, P.; Gervais, P. The effect of osmotic pressure on the membrane fluidity of Saccharomyces cerevisiae at different physiological temperatures. Appl. Microbiol. Biotechnol. 2001, 56, 249–254. [Google Scholar] [CrossRef] [PubMed]
  99. Clark, D.P.; DeMendoza, D.; Polacco, M.L.; Cronan, J.E., Jr. beta.-Hydroxydecanoyl thioester dehydrase does not catalyze a rate-limiting step in Escherichia coli unsaturated fatty acid synthesis. Biochemistry 1983, 22, 5897–5902. [Google Scholar] [CrossRef] [PubMed]
  100. Metris, A.; George, S.; Mulholland, F.; Carter, A.; Baranyi, J. Metabolic shift of Escherichia coli under salt stress in the presence of glycine betaine. Appl. Environ. Microbiol. 2014, 80, 4745–4756. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  101. Zolotov, M.Y. Aqueous origins of bright salt deposits on Ceres. Icarus 2017, 296, 289–304. [Google Scholar] [CrossRef]
  102. De Sanctis, M.; Ammannito, E.; Raponi, A.; Frigeri, A.; Ferrari, M.; Carrozzo, F.; Ciarniello, M.; Formisano, M.; Rousseau, B.; Tosi, F.; et al. Fresh emplacement of hydrated sodium chloride on Ceres from ascending salty fluids. Nat. Astron. 2020, 4, 786–793. [Google Scholar] [CrossRef]
Figure 1. Schematic of the cell membrane and membrane proteins such as ion channels, carrier proteins, and receptors. Cells interact with the external environment via membrane proteins.
Figure 1. Schematic of the cell membrane and membrane proteins such as ion channels, carrier proteins, and receptors. Cells interact with the external environment via membrane proteins.
Microorganisms 10 00274 g001
Figure 2. Schematic of the experimental setup used to measure the optical density, OD 488 , of bacteria in real time.
Figure 2. Schematic of the experimental setup used to measure the optical density, OD 488 , of bacteria in real time.
Microorganisms 10 00274 g002
Figure 3. (A) Linear-log plot of the growth curves of E. coli at different concentrations of Na2SO4. (B) Biomass doubling time, τ d , of bacteria as a function of salt concentration. The biomass doubling time, τ d , is calculated by fitting exponential curves through the data points (shown as solid lines in A) in the exponential growth phase. (C) Survival fraction of bacteria as a function of Na2SO4 concentration.
Figure 3. (A) Linear-log plot of the growth curves of E. coli at different concentrations of Na2SO4. (B) Biomass doubling time, τ d , of bacteria as a function of salt concentration. The biomass doubling time, τ d , is calculated by fitting exponential curves through the data points (shown as solid lines in A) in the exponential growth phase. (C) Survival fraction of bacteria as a function of Na2SO4 concentration.
Microorganisms 10 00274 g003
Figure 4. Representative images of cells at different concentrations (A) 0 m (control), (B) 0.2 m, (C) 0.4 m, (D) 0.6 m, (E) 0.8 m, and (F) 1.0 m of Na2SO4.
Figure 4. Representative images of cells at different concentrations (A) 0 m (control), (B) 0.2 m, (C) 0.4 m, (D) 0.6 m, (E) 0.8 m, and (F) 1.0 m of Na2SO4.
Microorganisms 10 00274 g004
Figure 5. Probability distribution function, P ( ) , of cell length, , for Na2SO4 concentrations: (A) 0 m, (B) 0.2 m, (C) 0.4 m, (D) 0.6 m, (E) 0.8 m, and (F) 1.0 m. The cell length distribution exhibits large heterogeneities at high concentrations of sodium sulfate. For 1.0 m Na2SO4, the bacterial cells do not exhibit any growth, and the cell length becomes smaller, presumably due to water efflux. Coefficient of variation (CV) of the probability distributions for all the salt concentrations are also shown.
Figure 5. Probability distribution function, P ( ) , of cell length, , for Na2SO4 concentrations: (A) 0 m, (B) 0.2 m, (C) 0.4 m, (D) 0.6 m, (E) 0.8 m, and (F) 1.0 m. The cell length distribution exhibits large heterogeneities at high concentrations of sodium sulfate. For 1.0 m Na2SO4, the bacterial cells do not exhibit any growth, and the cell length becomes smaller, presumably due to water efflux. Coefficient of variation (CV) of the probability distributions for all the salt concentrations are also shown.
Microorganisms 10 00274 g005
Figure 6. (A) Average cell length, , as a function of sodium sulfate concentration. decreases slightly at 0.2 m and 0.4 m, then it increases monotonically between 0.4 m and 0.8 m, and becomes smaller at 1.0 m Na2SO4. (B) Variance of the cell length, σ 2 , as a function of sodium sulfate concentration. The variance increases monotonically with Na2SO4 concentration up to 0.8 m.
Figure 6. (A) Average cell length, , as a function of sodium sulfate concentration. decreases slightly at 0.2 m and 0.4 m, then it increases monotonically between 0.4 m and 0.8 m, and becomes smaller at 1.0 m Na2SO4. (B) Variance of the cell length, σ 2 , as a function of sodium sulfate concentration. The variance increases monotonically with Na2SO4 concentration up to 0.8 m.
Microorganisms 10 00274 g006
Figure 7. Time-lapse images of cells obtained at 0.8 m Na2SO4 and subsequently grown on a thin LB-agar chamber without sodium sulfate.
Figure 7. Time-lapse images of cells obtained at 0.8 m Na2SO4 and subsequently grown on a thin LB-agar chamber without sodium sulfate.
Microorganisms 10 00274 g007
Figure 8. Comparative expression of various genes involved in water transport (aqpZ), sodium transport (nhaA, nhaB), sulfate transport (cysZ, sbp), sulfate metabolism (cysN), a global transcriptional regulator (osmZ), and fatty acid production (fabA). We do not find significant changes in the expression of these genes ( Δ Δ C t 0.5 ) at high salt concentration during the exponential growth phase. cysZ and nhaB exhibit slight upregulation within the error bar. However, this is not conclusive from our data due to large error bar with the Δ Δ C t 0.5 .
Figure 8. Comparative expression of various genes involved in water transport (aqpZ), sodium transport (nhaA, nhaB), sulfate transport (cysZ, sbp), sulfate metabolism (cysN), a global transcriptional regulator (osmZ), and fatty acid production (fabA). We do not find significant changes in the expression of these genes ( Δ Δ C t 0.5 ) at high salt concentration during the exponential growth phase. cysZ and nhaB exhibit slight upregulation within the error bar. However, this is not conclusive from our data due to large error bar with the Δ Δ C t 0.5 .
Microorganisms 10 00274 g008
Figure 9. (A) Water activity, a W , and (B) osmotic pressure, Π , as a function of concentration of aqueous solutions of sodium and magnesium sulfate at T = 37 C, computed using the Pitzer model.
Figure 9. (A) Water activity, a W , and (B) osmotic pressure, Π , as a function of concentration of aqueous solutions of sodium and magnesium sulfate at T = 37 C, computed using the Pitzer model.
Microorganisms 10 00274 g009
Figure 10. Osmotic pressure, Π , as a function of concentration of aqueous solutions of various salts at T = 37 C, computed using the Pitzer model. We also show the osmotic pressures corresponding to the limiting salt concentrations of growth of E. coli and B. subtilis.
Figure 10. Osmotic pressure, Π , as a function of concentration of aqueous solutions of various salts at T = 37 C, computed using the Pitzer model. We also show the osmotic pressures corresponding to the limiting salt concentrations of growth of E. coli and B. subtilis.
Microorganisms 10 00274 g010
Table 1. Dependence of pH of the media on Na2SO4 concentration.
Table 1. Dependence of pH of the media on Na2SO4 concentration.
Na2SO4 (m)pH ( ± 0.1 )
0.07.00
0.26.82
0.46.77
0.66.62
0.86.55
1.06.45
Table 2. List of the primers used.
Table 2. List of the primers used.
GenePrimerSequence (5 -3 )
16s rRNAForward
Reverse
TCGTCAGCTCGTGTTGTGAA
AGGGCCATGATGACTTGACG
aqpZForward
Reverse
AGCATTCACCAGGCGGTTAT
TCAGGGTTAAGGCCAGACCA
cysNForward
Reverse
ATCGCCACGACCAGATGTTT
CGAGCAGTACACCCGCAATA
cysZForward
Reverse
CGTTCCGGACTGGCTACAAT
CGTGCTTCCAGTTGTTCAGC
fabAForward
Reverse
AATTTCACTTCGCCAACGCC
TCTGTGGTTCTTCGGATGCC
nhaAForward
Reverse
TGAAAGAGAAGCATGGGCGT
GCAGAATGGAGGTCAAGCCA
nhaBForward
Reverse
TCTTGCAGGTCGGTGTCTTC
GTCGCTCTCTTTTTGCGTGG
osmZForward
Reverse
TTCGTTCGGGTCAATACCGT
ACGCTGGAAGAAATGCTGGA
sbpForward
Reverse
CACGCCGAGTGAGTCTATCC
CGGTAGTAGTTTTTCGCGGC
Table 3. Cell length statistics.
Table 3. Cell length statistics.
Na2SO4 (m) ( μ m) σ 2 ( μ m 2 )CV (%)
02.040.2222.77
0.21.640.2631.34
0.41.930.4131.81
0.62.692.5459.29
0.83.784.7457.57
1.01.660.2832.02
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Nguyen, K.; Kumar, P. Morphological Phenotypes, Cell Division, and Gene Expression of Escherichia coli under High Concentration of Sodium Sulfate. Microorganisms 2022, 10, 274. https://doi.org/10.3390/microorganisms10020274

AMA Style

Nguyen K, Kumar P. Morphological Phenotypes, Cell Division, and Gene Expression of Escherichia coli under High Concentration of Sodium Sulfate. Microorganisms. 2022; 10(2):274. https://doi.org/10.3390/microorganisms10020274

Chicago/Turabian Style

Nguyen, Khanh, and Pradeep Kumar. 2022. "Morphological Phenotypes, Cell Division, and Gene Expression of Escherichia coli under High Concentration of Sodium Sulfate" Microorganisms 10, no. 2: 274. https://doi.org/10.3390/microorganisms10020274

APA Style

Nguyen, K., & Kumar, P. (2022). Morphological Phenotypes, Cell Division, and Gene Expression of Escherichia coli under High Concentration of Sodium Sulfate. Microorganisms, 10(2), 274. https://doi.org/10.3390/microorganisms10020274

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop