Recombinant Leptospira interrogans serogroup Icterohaemorrhagiae serovar copenhageni Ribosomal RNA small subunit methyltransferase G (rsmG)

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Product Specs

Form
Lyophilized powder

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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Before opening, briefly centrifuge the vial to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, but this can be adjusted as needed.
Shelf Life
Shelf life depends on various factors, including storage conditions, buffer composition, temperature, and the protein's inherent stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot to prevent repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.

The specific tag will be determined during production. If you require a particular tag, please inform us, and we will prioritize its use.

Synonyms
rsmG; LIC_13490; Ribosomal RNA small subunit methyltransferase G; EC 2.1.1.-; 16S rRNA 7-methylguanosine methyltransferase; 16S rRNA m7G methyltransferase
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-254
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Leptospira interrogans serogroup Icterohaemorrhagiae serovar copenhageni (strain Fiocruz L1-130)
Target Names
rsmG
Target Protein Sequence
MQDPEQFSIE SILQRLKERF PTEADEISSF FDWDLVHKFT VFLKEKNEAG GFFSKRDSEE ILDRHVLESI YHVYRITKKI GSWKGTQLGD AGTGPGIPGF FFRCLKEHPI VVLIDSQKRK LSHTENFVRS NQIDGVKFQF IRAEESKLSL NYVTSRGFIP YPYSIEAICN LLKINGTYVP FLGKHDMDTN LEKKVLSYSG FKLEFSEDLV PLEFLGMRHI KFLKKVSSPR HGYPRAWKEI SKESKGANGK DRID
Uniprot No.

Target Background

Function

This protein specifically methylates the N7 position of a guanine in 16S rRNA.

Database Links
Protein Families
Methyltransferase superfamily, RNA methyltransferase RsmG family
Subcellular Location
Cytoplasm.

Q&A

What are the key genetic differences between L. interrogans serovars Copenhageni and Icterohaemorrhagiae?

Genomic analyses of 67 isolates belonging to L. interrogans serovars Copenhageni and Icterohaemorrhagiae have identified 1072 SNPs (single nucleotide polymorphisms), with 276 in non-coding regions and 796 in coding regions . Additionally, 258 indels were identified, with 191 in coding regions and 67 in non-coding regions .

While phylogenetic analyses based on SNP datasets reveal that both serovars are closely related, they show distinct spatial clustering . Most significantly, statistical analysis confirmed the presence of a frameshift mutation within a homopolymeric tract of the lic12008 gene (related to LPS biosynthesis) in all L. interrogans serovar Icterohaemorrhagiae strains but not in Copenhageni strains . This specific indel can genetically distinguish L. interrogans serovar Copenhageni from serovar Icterohaemorrhagiae with high discriminatory power .

What methodologies are commonly used for serotyping L. interrogans isolates?

The microscopic agglutination test (MAT) remains the standard method for serological classification of Leptospira isolates. For serotyping, both polyclonal and monoclonal sera are used sequentially: polyclonal sera for confirmation of serogroup (e.g., Icterohaemorrhagiae), followed by monoclonal sera for differentiating specific serovars (e.g., Icterohaemorrhagiae and Copenhageni) .

How do methyltransferases contribute to pathogenicity in Leptospira species?

DNA methylation facilitated by "orphan" DNA methyltransferases (those lacking cognate restriction endonucleases) plays a crucial role in bacterial epigenetic regulation. In Leptospira, 4-methylcytosine (4mC) modifications, which are unique to bacteria and archaea, are particularly significant .

Research has shown that inactivating a 4mC methyltransferase in pathogenic Leptospira resulted in complete abrogation of CTAG motif methylation, leading to genome-wide dysregulation of gene expression . These mutants exhibited multiple phenotypic changes directly related to pathogenicity:

  • Growth defects

  • Decreased adhesion to host cells

  • Higher susceptibility to LPS-targeting antibiotics

  • Loss of virulence in acute infection models

The mechanism appears to involve at least one ECF sigma factor whose transcription was altered in the methylase mutant, subsequently affecting the entire regulon controlled by this sigma factor . This demonstrates that methyltransferases act as global epigenetic regulators in Leptospira, modulating various phenotypes essential for the bacterial life cycle and pathogenicity.

What are the optimal strategies for expressing and purifying recombinant Leptospira proteins in E. coli systems?

The expression and purification of recombinant Leptospira proteins in E. coli systems requires careful optimization for high yield and purity. Based on successful approaches with multiepitope proteins, the following methodology is recommended:

  • Vector and strain selection: The BL21(DE3) plysS strain has been successfully used with kanamycin selection for Leptospira protein expression .

  • Protein design considerations: For multiepitope proteins, incorporating flexible tetraglycyl linkers between adjacent epitopes improves accessibility and antibody recognition . Three-dimensional position-specific scoring matrix analyses should be performed to ensure epitopes remain freely accessible in the recombinant construct .

  • Expression conditions: IPTG induction followed by sonication and SDS-PAGE analysis is effective for confirming expression . For solubility optimization, initial expression analysis should determine whether the protein is primarily in the soluble or insoluble fraction .

  • Purification protocol: Ni-NTA purification has been shown to achieve high purity for His-tagged Leptospira recombinant proteins. Yields of approximately 10.2 mg of purified protein per liter of cultured cells have been reported .

  • Protein validation: Confirmation of correct folding and epitope accessibility should be performed using immunological methods such as ELISA or immunoblotting with characterized positive sera .

What proteomics approaches are most effective for analyzing Leptospira protein expression under different environmental conditions?

Comparative proteomics studies of Leptospira under varying environmental conditions have employed both gel-based and gel-free approaches, each with distinct advantages:

  • iTRAQ (Isobaric Tags for Relative and Absolute Quantification): This highly sensitive approach has identified significant changes in protein expression levels in L. interrogans under in vivo-like conditions compared to standard laboratory conditions. In one study, iTRAQ analysis identified 62 proteins with altered expression levels, with fold changes ranging from -5.863 to 2.731 .

  • Two-dimensional gel electrophoresis (2DGE): While less sensitive than iTRAQ (identifying only 6 proteins with altered expression in the same comparative study), 2DGE provides visual representation of protein expression changes and can be particularly useful for identifying post-translational modifications .

  • Combined approach methodology: The highest comparative global proteomic coverage (approximately 15% of the total protein-expressing ORFs) was achieved by combining multiple techniques. One study identified 563 out of 3728 total proteins in L. interrogans serovar Copenhageni strain Fiocruz L1-130 .

  • Experimental design considerations: For meaningful results, proteome analysis should include:

    • Careful control of environmental conditions (temperature, pH, nutrients)

    • Multiple biological replicates

    • Appropriate statistical analysis to determine significant changes

    • Validation of key findings using alternative methods such as immunoblotting

How can recombinant multiepitope proteins be designed to improve leptospirosis diagnostic assays?

The design of recombinant multiepitope proteins for leptospirosis diagnosis involves several critical considerations to maximize sensitivity and specificity:

  • Epitope selection: Carefully select immunodominant epitopes from multiple Leptospira outer membrane proteins. Successful designs have incorporated epitopes from OmpL1, LipL21, and LipL32 .

  • Structural design:

    • Incorporate flexible tetraglycyl linkers between adjacent epitopes to maintain their independent folding and accessibility

    • Ensure all epitopes are freely accessible by performing three-dimensional position-specific scoring matrix analyses

    • Consider protein doubling (tandem repeats) to amplify the antigenic signal

  • Expression and purification: The recombinant protein should be expressed in a system that allows high yield and simple purification, such as E. coli with appropriate tags for affinity purification .

  • Validation methodology:

    • Test against diverse patient sera, including early and convalescent phase samples

    • Compare performance against the microscopic agglutination test (MAT) as the reference standard

    • Evaluate cross-reactivity with sera from patients with other febrile illnesses

  • Diagnostic format optimization: Develop both IgM and IgG detection assays, as the early immune response to Leptospira appears to encompass both antibody classes .

This approach offers significant advantages over whole-leptospirosis-antigen-based assays, including higher specificity, reduced cross-reactivity, and the potential for earlier diagnosis when culture and MAT results are not yet available .

What is the role of ribosomal RNA methyltransferases like rsmG in Leptospira biology?

Methyltransferases that target ribosomal RNA, such as rsmG, play crucial roles in bacterial physiology through several mechanisms:

  • Ribosome assembly and function: Methylation of specific nucleotides in ribosomal RNA contributes to proper ribosome assembly, structure, and function, which directly impacts protein synthesis efficiency.

  • Antibiotic resistance: In several bacterial species, alterations in rRNA methylation patterns can confer resistance to certain antibiotics, particularly those targeting the ribosome.

  • Epigenetic regulation: While not directly mentioned in the search results for rsmG specifically, research on other methyltransferases in Leptospira demonstrates that these enzymes can function as global epigenetic regulators .

Based on studies of other methyltransferases in Leptospira, it appears that these enzymes can have wide-ranging effects on gene expression and bacterial physiology. For example, inactivation of a 4mC methyltransferase resulted in genome-wide dysregulation of gene expression, affecting various phenotypes including growth, adhesion to host cells, antibiotic susceptibility, and virulence .

How do CTAG methylation patterns influence gene expression and virulence in pathogenic Leptospira?

CTAG methylation has been identified as a critical epigenetic regulatory mechanism in pathogenic Leptospira:

  • Genome-wide regulatory effects: Inactivation of a 4mC methyltransferase targeting CTAG motifs resulted in complete loss of CTAG methylation and genome-wide dysregulation of gene expression .

  • Direct transcriptional control: At least one ECF sigma factor gene has been found to be directly regulated by methylation of CTAG motifs in its promoter and 5′ coding region . This sigma factor controls a regulon of genes that were subsequently dysregulated in the methylase mutant, illustrating a hierarchical regulatory cascade .

  • Virulence correlation: Methyltransferase mutants lacking CTAG methylation exhibited:

    • Growth defects

    • Decreased adhesion to host cells

    • Higher susceptibility to LPS-targeting antibiotics

    • Loss of virulence in acute infection models

  • Evolutionary significance: Analysis of methyltransferases in Leptospira indicates that this particular methyltransferase is only present in the P clade (pathogenic species) of the genus, suggesting its importance in the evolution of pathogenicity .

These findings highlight that gene regulation in L. interrogans is significantly influenced by epigenetic modifications through CTAG methylation, which appears essential for the bacterial life cycle and pathogenicity .

What experimental approaches are most effective for studying methyltransferase function in Leptospira?

Based on successful research strategies documented in the literature, the following experimental approaches are recommended for investigating methyltransferase function in Leptospira:

  • Genetic manipulation:

    • Transposon insertion mutagenesis to inactivate methyltransferase genes

    • Complementation studies with wild-type genes to confirm phenotypes

    • Site-directed mutagenesis of methylation target sites (e.g., CTAG motifs) in specific promoters

  • Methylation analysis:

    • Single-molecule real-time (SMRT) sequencing to verify methyltransferase target motifs and methylation patterns

    • Bisulfite sequencing for detailed mapping of methylation sites

  • Transcriptomic analysis:

    • RNA-seq to identify genes dysregulated in methyltransferase mutants

    • qRT-PCR validation of key gene expression changes

    • Promoter-reporter fusions to directly assess the impact of methylation on transcription

  • Phenotypic characterization:

    • Growth curve analysis

    • Adhesion assays with host cells

    • Antibiotic susceptibility testing

    • Virulence assessment in animal infection models

  • Molecular interaction studies:

    • Chromatin immunoprecipitation to identify protein-DNA interactions affected by methylation

    • Electrophoretic mobility shift assays to assess how methylation affects transcription factor binding

These approaches, used in combination, have successfully elucidated the role of methyltransferases as global epigenetic regulators in Leptospira and their impact on various aspects of bacterial physiology and pathogenicity .

What are the most effective sequencing and bioinformatic approaches for distinguishing between Leptospira serovars?

The differentiation of closely related Leptospira serovars, particularly within the Icterohaemorrhagiae serogroup, requires sophisticated sequencing and bioinformatic approaches:

  • Whole genome sequencing strategies:

    • Short-read sequencing platforms provide high accuracy for SNP detection

    • Long-read technologies help resolve repetitive regions and structural variations

    • Combining both approaches (hybrid assembly) offers comprehensive genomic characterization

  • Read mapping and variant calling pipeline:

    • Stampy has proven effective for read mapping in Leptospira genomic studies

    • Samtools for SNP identification

    • CLC genome workbench for indel analysis

    • Joint analysis of multiple samples enhances variant discovery power

  • Validation methodology:

    • Re-sequencing of reference isolates to validate the bioinformatic pipeline

    • Selection based on identification of the highest overlap percentage of SNPs/indels found in both sequences

  • Statistical approaches:

    • Genotype likelihood-based likelihood ratio test (LRT) to compute statistically robust associations

    • This approach successfully classified L. interrogans serovars Copenhageni and Icterohaemorrhagiae isolates where other methods failed

  • Key genetic markers:

    • The frameshift mutation within the lic12008 gene (related to LPS biosynthesis) has been identified as a highly discriminatory marker for distinguishing between serovars Copenhageni and Icterohaemorrhagiae

    • This marker demonstrated higher discriminatory power than traditional methods like MST (multilocus sequence typing)

How can integrated proteomics and genomics approaches enhance understanding of Leptospira pathogenicity?

Integration of proteomic and genomic approaches provides comprehensive insights into Leptospira pathogenicity mechanisms:

  • Complementary technologies:

    • Genomics identifies genetic potential and variations

    • Transcriptomics reveals gene expression patterns

    • Proteomics confirms actual protein production and modifications

    • Integration helps identify key regulatory networks and pathways

  • Methodological approach:

    • Parallel analysis of the same strains under identical conditions

    • Correlation of genomic variations with protein expression differences

    • Identification of post-transcriptional regulatory mechanisms

    • Validation of key findings through targeted experiments

  • Environmental condition simulation:

    • Culture under in vivo-like conditions versus standard laboratory conditions

    • Temperature shifts from environmental to physiological conditions

    • Nutrient limitation studies (e.g., iron restriction)

    • Host cell co-culture systems

  • Data integration framework:

    • Correlation of gene presence/absence with protein expression

    • Mapping of SNPs and indels to protein structural and functional domains

    • Association of methylation patterns with protein expression levels

    • Pathway and network analysis to identify functional consequences

  • Case example findings:

    • Global proteome analysis identified 563 proteins (15% of total proteome) in L. interrogans

    • 65 proteins showed altered expression under in vivo-like conditions

    • These changes correlated with genes previously identified in transcriptional analyses related to energy production, protein export, heat shock protection, and chaperone activity

What analytical techniques are most suitable for characterizing recombinant methyltransferases from Leptospira?

Characterization of recombinant methyltransferases from Leptospira requires a comprehensive analytical approach:

  • Expression and purification:

    • Heterologous expression in E. coli systems with appropriate tags for purification

    • Purification via affinity chromatography (e.g., Ni-NTA for His-tagged proteins)

    • Size exclusion chromatography for higher purity and oligomeric state determination

  • Enzymatic activity assessment:

    • Radioactive methylation assays using S-adenosyl-L-[methyl-³H]methionine as methyl donor

    • Non-radioactive alternatives using S-adenosyl-L-methionine and detection of the reaction product S-adenosyl-L-homocysteine

    • Fluorescence-based assays for high-throughput screening

  • Substrate specificity determination:

    • In vitro methylation of different DNA substrates

    • SMRT sequencing to identify methylated motifs

    • Competition assays to determine relative substrate preferences

  • Structural characterization:

    • Circular dichroism spectroscopy for secondary structure analysis

    • X-ray crystallography or cryo-EM for three-dimensional structure determination

    • Molecular dynamics simulations for substrate binding mechanisms

  • Functional analysis in vivo:

    • Complementation studies in methyltransferase-deficient strains

    • Genome-wide methylation pattern analysis via SMRT sequencing

    • Correlation of methylation patterns with transcriptomic and proteomic data

  • Regulatory network mapping:

    • Identification of genes directly regulated by methylation using reporter constructs

    • ChIP-seq to map genome-wide binding sites of transcription factors affected by methylation

    • Systems biology approaches to model the regulatory network controlled by the methyltransferase

How do serological and molecular characteristics correlate across different serovars of L. interrogans?

The correlation between serological and molecular characteristics across L. interrogans serovars demonstrates complex relationships that impact diagnostic and research approaches:

CharacteristicSerovar CopenhageniSerovar IcterohaemorrhagiaeAnalytical Method
IgM detection in patient sera100% positive100% positiveELISA with r-LMP protein
IgG detection in patient sera100% positive100% positiveELISA with r-LMP protein
lic12008 gene statusIntactFrameshift mutationWhole genome sequencing
CTAG methylation patternPresent in wild typePresent in wild typeSMRT sequencing
Cross-reactivity with other febrile illness seraNone detectedNone detectedELISA
Genomic SNP clusteringDistinct spatial patternDistinct spatial patternPhylogenetic analysis
Proteome similarityHigh overlapHigh overlapGlobal proteome analysis

This table demonstrates that while traditional serological methods (IgM/IgG detection) cannot differentiate between these closely related serovars, molecular approaches targeting specific genetic elements (particularly the lic12008 gene) provide reliable discrimination . The high degree of similarity at both serological and proteomic levels underscores the challenge of differentiating these serovars using conventional methods and highlights the value of genomic approaches for accurate classification .

What is the impact of methyltransferase activity on gene expression profiles in Leptospira under different environmental conditions?

Methyltransferase activity significantly influences gene expression in Leptospira under varying environmental conditions:

ConditionGenes Affected by MethylationBiological ProcessPhenotypic Impact
Standard laboratory conditionsECF sigma factor genesTranscriptional regulationBaseline expression
Temperature shift (to 37°C)Stress response genesHeat shock responseAdaptation to host environment
In vivo-like conditionsVirulence-associated genesHost interactionPathogenicity
Methyltransferase knockoutGenome-wide dysregulationMultiple pathwaysGrowth defects, decreased adhesion, increased antibiotic susceptibility
CTAG motif mutation in promotersSpecific gene dysregulationTargeted pathwaysDependent on affected gene function

Methyltransferase activity provides an epigenetic regulatory layer that allows Leptospira to rapidly adapt to changing environments without altering the underlying genetic code. This is particularly important during the transition from environmental reservoirs to mammalian hosts, where bacteria must quickly adjust their gene expression profiles to survive in dramatically different conditions . The global nature of this regulation is evidenced by the widespread dysregulation observed in methyltransferase mutants, affecting diverse biological processes from basic cellular functions to specific virulence mechanisms .

What emerging technologies could advance our understanding of methyltransferase functions in bacterial pathogenesis?

Several cutting-edge technologies show promise for deepening our understanding of methyltransferase functions in bacterial pathogenesis:

  • Single-cell epigenomics:

    • Single-cell SMRT sequencing to detect cell-to-cell variation in methylation patterns

    • Correlation of methylation heterogeneity with phenotypic diversity

    • Investigation of epigenetic changes during infection progression

  • CRISPR-based epigenetic editing:

    • dCas9 fusions with methyltransferase domains for targeted methylation

    • Precise manipulation of methylation at specific genomic loci

    • Causal determination of methylation effects on gene expression

  • Spatial transcriptomics in infection models:

    • Mapping spatial distribution of bacterial methylation patterns during infection

    • Correlation with host tissue responses

    • Identification of microenvironment-specific epigenetic regulation

  • Artificial intelligence approaches:

    • Machine learning algorithms to predict methylation effects on gene expression

    • Pattern recognition in methylation-dependent regulatory networks

    • Integration of multi-omics data to model epigenetic regulation

  • Long-read direct RNA sequencing:

    • Detection of RNA modifications influenced by DNA methylation

    • Investigation of epitranscriptomic regulation in bacterial pathogenesis

    • Correlation between DNA methylation and RNA processing/stability

These technologies could help resolve key questions about how methyltransferases like those identified in Leptospira contribute to bacterial adaptation and pathogenesis, potentially leading to novel therapeutic approaches targeting epigenetic regulation .

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