The suhR locus (suppressor of heat shock defect) was identified in Rhizobium meliloti through its ability to restore growth at high temperatures (42°C) in E. coli K165, a strain carrying a temperature-sensitive rpoH165(Am) mutation . Key features include:
Gene Locus: ORF-C (Open Reading Frame-C) within the suhR region .
Protein Function: Stabilizes σ³² levels in E. coli, enabling heat shock protein synthesis despite defective σ³² .
Sequence Uniqueness: No homology to known sigma factors or other database entries, but contains a helix-turn-helix DNA-binding motif .
| Feature | Detail |
|---|---|
| Gene Name | suhR |
| ORF Designation | SMc01492 |
| Expression Region | Nucleotides 1–633 (full-length protein) |
| Molecular Weight | Predicted: 35.2 kDa; Observed (SDS-PAGE): ~40 kDa |
| GC Content | Matches R. meliloti average (62.3–62.5%) |
The discrepancy between predicted and observed molecular weights suggests post-translational modifications or anomalous migration during electrophoresis .
The suhR protein suppresses E. coli K165 defects via σ³² stabilization rather than replacing σ³² or acting as a sigma factor itself:
σ³² Stabilization: Western immunoblots show a twofold increase in σ³² levels in E. coli K165 expressing suhR .
No Impact on mRNA: RNA blot analyses confirm unchanged rpoH mRNA levels or stability, ruling out transcriptional regulation .
Proposed Mechanism: Enhanced translation of rpoH mRNA or protection of σ³² from degradation .
Heat Shock Studies: Used to investigate σ³² regulation and bacterial stress responses .
Protein Engineering: Recombinant suhR (e.g., GeneBioSystems product) enables functional studies in heterologous systems .
Biotechnological Potential: May enhance stress tolerance in engineered bacterial strains for agriculture or industry .
| Parameter | suhR | σ³² (rpoH) |
|---|---|---|
| Sequence Homology | None to known sigma factors | Canonical sigma factor |
| Role in Heat Shock | Indirect (σ³² stabilization) | Direct (RNA polymerase binding) |
| Essentiality | Non-essential in R. meliloti | Essential in E. coli |
Does suhR interact directly with σ³² or via chaperones?
What regulatory pathways control suhR expression in R. meliloti?
Can suhR be harnessed to improve stress resilience in crop-associated bacteria?
This protein is non-essential for R. meliloti growth but induces a heat-shock response in temperature-sensitive E. coli K165 by increasing sigma 32 levels. The precise mechanism remains unclear.
KEGG: sme:SMc01492
STRING: 266834.SMc01492
The suhR gene is a locus from Rhizobium meliloti that functions as a suppressor of temperature sensitivity in Escherichia coli rpoH mutants. Specifically, it allows E. coli K165 [rpoH165(Am) supC(Ts)] strains to grow at high temperature and enables the induction of heat shock protein synthesis. The gene does not show sequence similarity to previously sequenced sigma factors, despite conferring a phenotype that resembles sigma factor functionality. A notable structural feature is the presence of a helix-turn-helix DNA-binding protein motif, suggesting its role in transcriptional regulation .
While suhR suppresses the temperature-sensitive phenotype of E. coli rpoH mutants (which lack functional σ32), the mechanism appears to be indirect. The suhR gene product does not function as a direct replacement for σ32 despite conferring a similar phenotype. Rather than having sequence homology with known sigma factors, suhR likely acts through an alternative pathway to activate heat shock gene expression. This represents an interesting case of functional complementation across bacterial species without structural conservation, suggesting convergent evolution of stress response mechanisms .
Research has revealed an interesting phenomenon regarding vector influence on suhR function. While plasmid pABPE1 containing ORF-C (suhR) successfully suppressed the temperature-sensitive phenotype of E. coli K165, many constructs carrying suhR on high-copy-number vectors (such as pAB25) failed to suppress the phenotype. This suggests that vector context significantly influences suhR expression or function, possibly through effects of vector sequences on insert transcription. This observation highlights the importance of careful vector selection when designing recombinant expression systems for functional studies of suhR .
When studying suhR function, researchers should consider the following methodological approaches:
Genetic background selection: Use appropriate E. coli strains with defined rpoH mutations to test suppression activity.
Vector selection: As demonstrated with pABPE1 versus high-copy-number vectors, careful selection of expression vectors is crucial for successful observation of suhR activity.
Temperature regime: Design temperature shift protocols that enable assessment of growth at both permissive and non-permissive temperatures.
Protein synthesis analysis: Include methods to detect heat shock protein synthesis, such as radiolabeling and gel electrophoresis.
Sequence analysis: Perform detailed computational analysis of the suhR sequence to identify functional motifs like the helix-turn-helix domain.
Researchers should systematically control these variables to reliably assess suhR function in different genetic backgrounds .
While the reviewed literature does not specifically address sample size for suhR studies, general principles of quantitative research design apply. For experimental studies involving recombinant proteins and gene function analysis, replicated trials are essential. Based on general statistical guidelines:
For basic growth comparisons, a minimum of 3-5 biological replicates per condition is typically required
For more complex experiments analyzing multiple dependent variables, sample size requirements increase
Power analysis should be performed to determine the appropriate sample size by taking into account the part of the experimental model with the largest number of predictors
Researchers should consider that a complex experimental setup requires a larger sample than a more parsimonious design. For structural equation modeling (if used for pathway analysis), samples over 200 would be considered large, while samples below 100 cases may not be recommended .
To confirm successful expression of suhR in recombinant strains, researchers should employ a multi-tiered verification approach:
Genetic verification: PCR confirmation of insert presence and orientation
Transcriptional analysis: RT-PCR or Northern blot to verify mRNA production
Protein detection: Western blot analysis using antibodies against the suhR protein, or epitope-tagged versions of the protein
E. coli minicell analysis: Examination of protein production in minicells can provide clear visualization of plasmid-encoded proteins without background from chromosomal gene expression
Functional complementation: Verification of phenotype suppression in appropriate temperature-sensitive mutants
The minicell approach has been particularly valuable in suhR studies, enabling researchers to confirm the ~40 kDa protein product corresponding to the ORF-C gene product .
When analyzing growth data from suhR complementation experiments, researchers should consider:
Growth curves analysis: Plot complete growth curves rather than single time-point measurements. Calculate growth rates during exponential phase and compare statistically between strains.
Temperature shift protocols: Track growth before and after temperature shifts to non-permissive conditions. Calculate the ratio of growth rates at high versus permissive temperatures.
Statistical approach: Consider the following statistical methods:
ANOVA for comparing multiple strains and conditions
Regression analysis for time-series data
Non-parametric tests if data doesn't meet normality assumptions
Visualization: Present data in graphical format showing growth curves at different temperatures with error bars representing standard deviation or standard error.
Control inclusion: Always include appropriate positive and negative controls, including wild-type strains and vector-only transformants .
Researchers face several challenges when interpreting functional data related to suhR:
Vector context effects: As observed with high-copy-number vectors failing to show suppression, vector context can significantly influence experimental outcomes and must be considered when interpreting results.
Distinguishing direct vs. indirect effects: Determining whether suhR directly replaces sigma factor function or acts through an alternative pathway requires careful experimental design and interpretation.
Cross-species protein function: When studying proteins across different bacterial species (R. meliloti vs. E. coli), differences in codon usage, protein folding machinery, and post-translational modifications may affect protein function.
Functional redundancy: The possibility of overlapping or redundant stress response pathways may complicate interpretation of phenotypic data.
Gene dosage effects: The copy number of recombinant constructs can affect expression levels and function, potentially leading to artifacts in complementation studies .
Several aspects of suhR biology remain unexplored and represent valuable directions for future research:
Structural characterization: Determining the three-dimensional structure of the suhR protein would provide insights into its function and interaction with other cellular components.
Target identification: Identifying the specific DNA targets of the suhR helix-turn-helix motif would clarify its role in transcriptional regulation.
Native function in R. meliloti: While suhR mutants were viable and symbiotically effective, the native function of suhR in R. meliloti deserves deeper investigation, particularly in stress response contexts.
Comparative genomics: Analysis of suhR homologs across other Rhizobium species and related bacteria could reveal evolutionary patterns and functional conservation.
Applications in synthetic biology: Exploring the potential of suhR as a tool for engineering heat tolerance in heterologous hosts could have biotechnological applications .
Recent studies have revealed the importance of Type III Secretion Systems (T3SS) in Rhizobium-legume interactions. While not directly connected to suhR in the current literature, investigating potential interactions between stress response pathways (mediated by factors like suhR) and secretion systems presents an intriguing research direction.
T3SS in Rhizobium species like NGR234 and B. japonicum USDA110 have been shown to function not only during initial infection but also in mature nodules. This suggests they play roles in both establishing and maintaining symbiotic relationships. Similarly, suhR may have undiscovered functions in symbiotic interactions beyond its known role in suppressing temperature sensitivity.
Research could explore whether stress conditions affect T3SS expression and function, and whether factors like suhR participate in regulatory networks that coordinate stress responses with symbiotic processes .
To better understand suhR's mechanism of action, the following experimental approaches would be most valuable:
Transcriptomics: RNA-seq analysis comparing gene expression patterns in E. coli rpoH mutants with and without suhR complementation to identify affected pathways.
Chromatin immunoprecipitation (ChIP-seq): Identify the specific DNA binding sites of suhR in vivo to determine its direct regulatory targets.
Protein-protein interaction studies: Yeast two-hybrid or co-immunoprecipitation experiments to identify protein partners of suhR.
Domain mapping: Systematic mutation or deletion of suhR domains, particularly the helix-turn-helix motif, to correlate structure with function.
In vitro transcription assays: Reconstitute transcription systems to directly test whether suhR can replace or modify RNA polymerase function.