Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2006 Mar;188(5):1817-28.
doi: 10.1128/JB.188.5.1817-1828.2006.

Global analysis of heat shock response in Desulfovibrio vulgaris Hildenborough

Affiliations

Global analysis of heat shock response in Desulfovibrio vulgaris Hildenborough

S R Chhabra et al. J Bacteriol. 2006 Mar.

Abstract

Desulfovibrio vulgaris Hildenborough belongs to a class of sulfate-reducing bacteria (SRB) and is found ubiquitously in nature. Given the importance of SRB-mediated reduction for bioremediation of metal ion contaminants, ongoing research on D. vulgaris has been in the direction of elucidating regulatory mechanisms for this organism under a variety of stress conditions. This work presents a global view of this organism's response to elevated growth temperature using whole-cell transcriptomics and proteomics tools. Transcriptional response (1.7-fold change or greater; Z >/= 1.5) ranged from 1,135 genes at 15 min to 1,463 genes at 120 min for a temperature up-shift of 13 degrees C from a growth temperature of 37 degrees C for this organism and suggested both direct and indirect modes of heat sensing. Clusters of orthologous group categories that were significantly affected included posttranslational modifications; protein turnover and chaperones (up-regulated); energy production and conversion (down-regulated), nucleotide transport, metabolism (down-regulated), and translation; ribosomal structure; and biogenesis (down-regulated). Analysis of the genome sequence revealed the presence of features of both negative and positive regulation which included the CIRCE element and promoter sequences corresponding to the alternate sigma factors sigma(32) and sigma(54). While mechanisms of heat shock control for some genes appeared to coincide with those established for Escherichia coli and Bacillus subtilis, the presence of unique control schemes for several other genes was also evident. Analysis of protein expression levels using differential in-gel electrophoresis suggested good agreement with transcriptional profiles of several heat shock proteins, including DnaK (DVU0811), HtpG (DVU2643), HtrA (DVU1468), and AhpC (DVU2247). The proteomics study also suggested the possibility of posttranslational modifications in the chaperones DnaK, AhpC, GroES (DVU1977), and GroEL (DVU1976) and also several periplasmic ABC transporters.

PubMed Disclaimer

Figures

FIG. 1.
FIG. 1.
Distribution of up- and down-regulated genes in D. vulgaris Hildenborough as a function of time upon a temperature up-shift of 13°C. Only those genes with Z ≥ 1.5 (absolute value) and log2R ≤ −2 or log2R ≥ 2 were included in the plot. The gray region at the top of each data bar corresponds to genes from the megaplasmid. Up-regulated, log2R ≥ 2; down-regulated, log2R ≤ −2.
FIG. 2.
FIG. 2.
Direct and indirect sensing of temperature upshift and time-independent expression profiles. K-means clustering of up-regulated genes in D. vulgaris Hildenborough from 15 min to 120 min upon a temperature upshift of 13°C. Only those genes with Z ≥ 1.5 (absolute value) at all time points and at least one time point meeting the criterion of log2R ≤ −2 or log2R ≥ 2 were included in the clustering analysis. Commonly known heat shock proteins in the indirect heat-sensing grouping are highlighted in green.

References

    1. Alm, E. J., K. H. Huang, M. N. Price, R. P. Koche, K. Keller, I. L. Dubchak, and A. P. Arkin. 2005. The MicrobesOnline Web site for comparative genomics. Genome Res. 15:1015-1022. - PMC - PubMed
    1. Arsene, F., T. Tomoyasu, and B. Bukau. 2000. The heat shock response of Escherichia coli. Int. J. Food Microbiol. 55:3-9. - PubMed
    1. Bailey, T. L., and C. Elkan. 1994. Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Proc. Int. Conf. Intell. Syst. Mol. Biol. 2:28-36. - PubMed
    1. Barrios, H., B. Valderrama, and E. Morett. 1999. Compilation and analysis of sigma(54)-dependent promoter sequences. Nucleic Acids Res. 27:4305-4313. - PMC - PubMed
    1. Barton, L. L. 1995. Sulfate-reducing bacteria, vol. 8. Plenum Press, New York, N.Y.

Publication types