| Literature DB >> 35913142 |
Karla Franco Meléndez1,2,3, Keith Crenshaw1,2, Jennifer Barrila1,3, Jiseon Yang1,3, Sandhya Gangaraju3, Richard R Davis1,3, Rebecca J Forsyth1,3, C Mark Ott4, Rebin Kader1, Roy Curtiss1, Kenneth Roland3, Cheryl A Nickerson1,2,3.
Abstract
The discovery that biomechanical forces regulate microbial virulence was established with the finding that physiological low fluid shear (LFS) forces altered gene expression, stress responses, and virulence of the enteric pathogen Salmonella enterica serovar Typhimurium during the log phase. These log phase LFS-induced phenotypes were independent of the master stress response regulator, RpoS (σS). Given the central importance of RpoS in regulating stationary-phase stress responses of S. Typhimurium cultured under conventional shake flask and static conditions, we examined its role in stationary-phase cultures grown under physiological LFS. We constructed an isogenic rpoS mutant derivative of wild-type S. Typhimurium and compared the ability of these strains to survive in vitro pathogenesis-related stresses that mimic those encountered in the infected host and environment. We also compared the ability of these strains to colonize (adhere, invade, and survive within) human intestinal epithelial cell cultures. Unexpectedly, LFS-induced resistance of stationary-phase S. Typhimurium cultures to acid and bile salts stresses did not rely on RpoS. Likewise, RpoS was dispensable for stationary-phase LFS cultures to adhere to and survive within intestinal epithelial cells. In contrast, the resistance of these cultures to challenges of oxidative and thermal stresses, and their invasion into intestinal epithelial cells was influenced by RpoS. These findings expand our mechanistic understanding of how physiological fluid shear forces modulate stationary-phase S. Typhimurium physiology in unexpected ways and provide clues into microbial mechanobiology and nuances of Salmonella responses to microenvironmental niches in the infected host. IMPORTANCE Bacterial pathogens respond dynamically to a variety of stresses in the infected host, including physical forces of fluid flow (fluid shear) across their surfaces. While pathogens experience wide fluctuations in fluid shear during infection, little is known about how these forces regulate microbial pathogenesis. This is especially important for stationary-phase bacterial growth, which is a critical period to understand microbial resistance, survival, and infection potential, and is regulated in many bacteria by the general stationary-phase stress response protein RpoS. Here, we showed that, unlike conventional culture conditions, several stationary-phase Salmonella pathogenic stress responses were not impacted by RpoS when bacteria were cultured under fluid shear conditions relevant to those encountered in the intestine of the infected host. These findings offer new insight into how physiological fluid shear forces encountered by Salmonella during infection might impact pathogenic responses in unexpected ways that are relevant to their disease-causing ability.Entities:
Keywords: RpoS; Salmonella; acid stress; bile salt stress; biomechanical forces; fluid shear; infection; intestinal epithelium; mechanobiology; mechanotransduction; oxidative stress; pathogenesis; rotating wall vessel; sigma factor; stationary-phase; stress responses; thermal stress; σ38 (sigma 38); σS (sigma S)
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Year: 2022 PMID: 35913142 PMCID: PMC9429890 DOI: 10.1128/msphere.00210-22
Source DB: PubMed Journal: mSphere ISSN: 2379-5042 Impact factor: 5.029
FIG 1Rotating wall vessel (RWV) culture conditions and growth curve analysis. (A) The low fluid shear (LFS) orientation of the RWV maintains bacteria in a constant state of suspension in a gentle fluid orbit. In the control orientation, cultures sediment thus disrupting the LFS condition. (B) Growth curves for both the wild-type and isogenic rpoS mutant strains in the RWV (LFS and control) at 37°C, 25 rpm, for 24 h of incubation period; mean ± SEM. For each strain, at least two growth curves were done, each plated with a minimum of three technical replicates per time point. No significant differences were observed between RWV cultures (Student's t test P < 0.05).
FIG 2Construction of rpoS mutant and molecular and phenotypic strain validation. (A) Deletion of the rpoS gene from the S. Typhimurium χ3339 genome; deletion start site +1, end site +993 bp. In the absence of an available sequenced genome for χ3339, the sequenced genome of strain SL1344 (the parental strain of χ3339) (85) was used as a proxy. (B) Suicide vector pYA4804 was engineered by cloning a 717 bp fragment encompassing up-and downstream regions of the rpoS gene from S. Typhimurium χ3761 (wild-type UK-1) into the XbaI-SacI cloning sites of pRE112. (C) PCR analysis was used to confirm the deletion of rpoS. Lane 1, wild-type strain χ3339; lane 2, PCR negative control; lane 3, NEB 100 bp DNA ladder; lanes 4 and 5 show strains that did not have a successful double-crossover event to delete the rpoS gene and, thus, were not selected for use in this study. Lane 6 shows no PCR amplification of rpoS, thus demonstrating the successful deletion of the rpoS gene by the 2nd crossover. This strain was selected as the rpoS mutant for use in this study. (D) The χ3339 rpoS mutant exhibited reduced catalase activity compared to the wild-type strain.
FIG 3RpoS does not regulate the stationary-phase LFS-induced response of S. Typhimurium to either acid or bile stresses. χ3339 and ΔrpoS strains were independently grown to stationary-phase in the RWV in the LFS and control orientations. Immediately after harvesting from the RWV, bacteria were challenged with (A) acid (pH 3.5) or (B) bile salts (10%). Viable CFU per mL was obtained by removing samples at each of the indicated time points, serially diluting, and plating on LB agar plates. Percent survival was calculated by normalizing all samples to T0 (number of bacteria before exposure to the stress). Results represent the average of a minimum of three independent biological replicates, each with a minimum of three or more technical replicates per time point; mean percent survival ± SEM are plotted for each of the stresses. A Shapiro-Wilk test was used to test for the normality of the data and an F-test was used to compare variances between groups. Statistical significance at each time point was calculated using an unpaired t test with Welch correction, followed by multiple comparisons using the two-stage step-up method of Benjamini, Krieger, and Yekutieli (*, q < 0.05; **, q < 0.01; ***, q < 0.001; ns = no significance); values beneath asterisks represent fold changes. For each of the stresses, additional direct strain comparisons are summarized as shown in the table format; fold values were calculated by dividing percent survivals for the wild-type by those of the ΔrpoS strain.
FIG 4The LFS stationary-phase response of S. Typhimurium to oxidative and thermal stresses is dependent on RpoS. S. Typhimurium χ3339 and the ΔrpoS strain were grown in the RWV for 24 h at 37°C in the LFS or control orientations. Immediately after harvesting from the RWV, bacterial strains were challenged with (A) oxidative stress (0.09% H2O2) or (B) thermal stress (52°C). CFU/mL was calculated by removing samples at each of the indicated time points, serially diluting, and plating on LB agar plates. Percent survival was calculated by normalizing all samples to T0 (number of bacteria before the addition of the stress). An average of two (A) and three (B) biological replicates are represented, each with a minimum of 3 or more technical replicates per time point. Mean percent survival ± SEM is plotted for each of the stresses. A Shapiro-Wilk test was used to test for the normality of the data and an F-test was used to compare variances between groups. Statistical significance at each time point was calculated using an unpaired t test with Welch correction, followed by multiple comparisons using the two-stage step-up method of Benjamini, Krieger, and Yekutieli (*, q < 0.05; **, q < 0.01; ***, q < 0.001; ns = no significance); values beneath asterisks represent fold changes (E = exponent). For each of the stresses, additional direct strain comparisons are summarized in table format; fold values are calculated by dividing percent survivals for the wild-type by those of the ΔrpoS mutant strain.
FIG 5Assessing the effect of LFS and RpoS on stationary-phase S. Typhimurium colonization profiles using human intestinal epithelial cells. (A) Adherence of S. Typhimurium strains χ3339 and ΔrpoS to HT-29 cells was evaluated 30 min after infection. (B) Invasion (3 h) and (C) intracellular survival (24 h) were assayed using a standard gentamicin protection assay. At each time point, bacteria were quantified by plating for CFU/mL. The results depicted represent the average of two biological replicates, each in technical triplicate. Data were normalized at each time point to the number of initial inocula. E. coli strain HB101 was included as a noninvasive control. Each bar graph represents the mean percent ± SEM. Data were assessed for normality using the D’Agostino-Pearson test and homogeneity of variance using Bartlett’s test. Statistical significance was calculated using Welch ANOVA followed by Dunnett T3 for multiple comparisons (**, q < 0.01; ***, q < 0.001; ****, q < 0.0001; ns = no significance); values beneath asterisks represent fold changes.