Recombinant Shewanella baltica Ribosome-recycling factor (frr)

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Product Specs

Form
Lyophilized powder. We will preferentially ship the available format, but if you have specific format requirements, please note them when ordering, and we will accommodate your request.
Lead Time
Delivery times vary based on purchase method and location. Please consult your local distributor for specific delivery information. All proteins are shipped with standard blue ice packs. For dry ice shipping, please contact us in advance, as additional charges apply.
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect contents at the bottom. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. Adding 5-50% glycerol (final concentration) is recommended for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50% for your reference.
Shelf Life
Shelf life depends on several factors including storage conditions, buffer components, storage temperature, and protein stability. Generally, the liquid form has a shelf life of 6 months at -20°C/-80°C, while the lyophilized form has a shelf life of 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type is determined during the manufacturing process. If you require a specific tag type, please inform us, and we will prioritize developing it.
Synonyms
frr; Shew185_1448; Ribosome-recycling factor; RRF; Ribosome-releasing factor
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-185
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Shewanella baltica (strain OS185)
Target Names
frr
Target Protein Sequence
MIENIKKDAQ ERMGKCVDAT KNQMAKVRTG RAHPSLLDSI QVSYYGTMTP LNQVANVGVE DSRTLSVTVF DRSAIQAVEK AIMSSDLGLN PMSAGATLRI PLPALTEERR KDFIKVVRNE AENGRIAIRN VRRDAISEVK KLEKAKACTE DDVRRSEEEV QKFTDAHIKK VDEILAAKEI ELMEV
Uniprot No.

Target Background

Function
Releases ribosomes from messenger RNA at the end of protein biosynthesis. May improve translation efficiency by recycling ribosomes for subsequent rounds of translation.
Database Links
Protein Families
RRF family
Subcellular Location
Cytoplasm.

Q&A

What is the Ribosome-recycling factor (frr) in Shewanella baltica?

The Ribosome-recycling factor (frr) in Shewanella baltica is an essential protein involved in the final stage of protein synthesis. It functions by disassembling the post-termination ribosomal complex, enabling the recycling of ribosomes, tRNA, and mRNA for subsequent rounds of translation. This process is particularly important in S. baltica, which has adapted to various ecological niches with different environmental conditions requiring efficient protein synthesis regulation. S. baltica is a facultative anaerobic, psychrotrophic Gram-negative bacterium with optimal growth temperature around 25°C but can grow at temperatures as low as 0°C . As a specific spoilage organism (SSO) of refrigerated seafood, its protein synthesis machinery plays a crucial role in its survival and spoilage activity.

How does the frr gene structure in Shewanella baltica compare to other bacterial species?

The frr gene in Shewanella baltica shares structural similarities with other bacterial species, particularly within the Gammaproteobacteria class. While maintaining conserved domains necessary for ribosome binding and disassembly functions, S. baltica's frr likely contains sequence variations that optimize its function across the broad temperature range (0-25°C) in which this psychrotrophic organism thrives. Comparative genomic analysis of frr genes across S. baltica strains (such as OS155, OS185, OS195, and OS223) may reveal subtle sequence variations that contribute to their adaptation to different depths in the Baltic Sea . These ecotypes show significant transcriptional variation despite nearly 100% conserved genome sequences, suggesting potential differences in frr expression or regulation that may contribute to their ecological specialization.

What purification methods are recommended for recombinant S. baltica frr protein?

Purification of recombinant S. baltica frr typically involves a multi-step approach to ensure high purity and activity. Initial clarification of cell lysate through centrifugation should be followed by immobilized metal affinity chromatography (IMAC) if a His-tag has been incorporated. Further purification using ion exchange chromatography, particularly with a cation exchanger, helps remove remaining contaminants. A final size exclusion chromatography step ensures high purity and helps analyze the oligomeric state of the protein. Throughout purification, maintaining a reducing environment with DTT or β-mercaptoethanol is critical to prevent oxidation of cysteine residues. Buffer systems containing 50 mM Tris-HCl pH 7.5, 150 mM NaCl, and 5% glycerol have shown optimal stability for purified proteins from psychrotrophic bacteria. All purification steps should be conducted at 4°C to maintain the stability of this cold-adapted protein.

How do ecotype variations in S. baltica affect the structure and function of the frr protein?

Transcriptional variation among S. baltica ecotypes likely influences frr expression patterns, potentially affecting protein synthesis efficiency under different environmental conditions. The four main S. baltica ecotypes (OS155, OS185, OS195, and OS223) were isolated from different depths throughout the Baltic Sea water column, each with distinct redox environments and nutrient availability . These strains exhibited significantly different growth rates when grown under identical laboratory conditions, suggesting fundamental differences in their protein synthesis machinery. OS155, isolated from an oxic zone, demonstrated the fastest growth rate (0.520 h⁻¹), while OS195 from the anoxic zone grew much slower (0.115 h⁻¹) . To investigate how these ecological adaptations affect frr function, researchers should compare frr sequences across ecotypes, measure expression levels under various conditions, and assess ribosome recycling activity using purified recombinant proteins from each ecotype.

What role does the frr protein play in S. baltica's adaptation to different salinity conditions?

S. baltica demonstrates significant proteomic responses to varying salinity conditions, as evidenced by clustering patterns in protein abundance profiles under different salt concentrations . Given that frr is essential for efficient protein synthesis, it likely plays a critical role in the organism's adaptation to osmotic stress. Under changing salinity, optimal regulation of translation becomes crucial for survival. In S. baltica, low and optimal salinity conditions produce similar proteome profiles, suggesting specialized adaptation mechanisms for handling salt stress . To investigate frr's role in this process, researchers should measure frr expression levels at different salinities using qRT-PCR, assess ribosome recycling activity under varying salt concentrations, and perform complementation studies with frr variants in salt-sensitive bacterial strains. Particularly important would be examining if post-translational modifications of frr occur under salt stress that might alter its activity or interactions with the ribosome.

How does the frr protein contribute to S. baltica's spoilage potential in refrigerated seafood?

S. baltica is a significant spoilage organism in refrigerated seafood, producing compounds that contribute to off-flavors and reduced shelf-life. The spoilage potential of S. baltica is regulated by quorum sensing (QS) systems, with the transcription of several key spoilage-related genes (torS, speF) being controlled by LuxR-type proteins . Since efficient protein synthesis is necessary for producing spoilage enzymes, frr likely plays an indirect but essential role in this process. The relationship between translation efficiency, controlled by frr, and spoilage capacity could be investigated by creating conditional frr expression strains and measuring their ability to produce trimethylamine (TMA) and putrescine—key spoilage compounds. Researchers should also investigate whether frr expression is affected by the same LuxR-dependent QS system that regulates other spoilage genes, potentially establishing a direct link between population density sensing and protein synthesis efficiency.

Growth Characteristics of S. baltica StrainsOS155OS185OS195OS223
Isolation depth (m)90120140120
Oxygen conditions at isolationOxicOxic-anoxic interfaceAnoxicOxic-anoxic interface
Doubling time (h)2.059.116.0113.3
Growth rate (h⁻¹)0.5200.0760.1150.052

What are the optimal conditions for measuring the activity of recombinant S. baltica frr in vitro?

For accurate measurement of S. baltica frr activity in vitro, researchers should establish a ribosome recycling assay system that incorporates post-termination ribosomal complexes. The optimal buffer conditions typically include: 10 mM Tris-HCl (pH 7.5), 80 mM NH₄Cl, 7 mM MgCl₂, and 1 mM DTT. Temperature is a critical parameter - assays should be conducted at both 25°C (optimal growth temperature) and 4°C (simulating cold conditions) to assess temperature-dependent activity variations. Control reactions using E. coli frr can serve as a reference benchmark. Activity measurements can employ light scattering to monitor ribosome dissociation, or fluorescence-based assays using labeled ribosomal components. When preparing components for the assay, it's important to use ribosomes isolated from S. baltica or closely related species rather than E. coli to account for species-specific interactions. Additionally, the GTP concentration should be carefully optimized, as cold-adapted frr may have different nucleotide requirements compared to mesophilic counterparts.

How can researchers design experiments to study the impact of environmental stressors on S. baltica frr function?

To study the impact of environmental stressors on S. baltica frr function, design a comprehensive experimental approach that mimics the organism's natural habitat challenges. First, establish baseline expression profiles of frr under optimal growth conditions using RT-qPCR and Western blotting. Then systematically introduce stressors relevant to Baltic Sea environments: oxygen limitation (0-100% saturation), temperature shifts (0-25°C), salinity gradients (0.5-3% NaCl), and nutrient limitation . For each condition, measure frr expression levels, protein abundance, and ribosome recycling activity. Additionally, analyze translation efficiency using polysome profiling or ribosome profiling techniques to directly assess the impact of stressors on protein synthesis. To establish causality, perform complementation experiments with frr variants in frr-depleted strains exposed to these stressors. Since S. baltica exhibits different growth rates depending on its ecotype origins , include multiple strains (OS155, OS185, OS195, OS223) in the experimental design to capture ecotype-specific responses.

What considerations should be made when designing site-directed mutagenesis experiments for S. baltica frr?

When designing site-directed mutagenesis experiments for S. baltica frr, several considerations are crucial. First, perform sequence alignment with frr proteins from related species to identify both conserved and variable regions. Conserved residues likely serve essential functions, while variable regions may confer species-specific adaptations. Focus mutagenesis on: (1) residues predicted to interact with ribosomal components based on structural models, (2) residues that differ between S. baltica ecotypes, and (3) potential regulatory sites such as predicted phosphorylation motifs. For each target, design substitutions that alter physicochemical properties (charge, hydrophobicity, size) to probe functional contributions. When designing primers, ensure they maintain appropriate GC content and minimize secondary structure formation. After generating mutants, conduct comprehensive characterization including stability assessments (particularly at various temperatures relevant to S. baltica's native environment), binding affinity measurements for ribosomal components, and activity assays under conditions mimicking different Baltic Sea depths.

How can understanding S. baltica frr function contribute to food spoilage prevention technologies?

Understanding S. baltica frr function can lead to novel food spoilage prevention technologies by targeting protein synthesis in this specific spoilage organism. As S. baltica produces compounds like trimethylamine (TMA) and putrescine that contribute to seafood spoilage , inhibiting its translational machinery offers a selective approach to controlling spoilage without affecting beneficial bacteria. Researchers should first establish the relationship between frr activity and spoilage-related metabolic processes, then identify compounds that selectively inhibit S. baltica frr. These potential inhibitors could be incorporated into food packaging systems as controlled-release antimicrobials. The targeted approach is particularly important because S. baltica employs quorum sensing systems that regulate spoilage potential and biofilm formation , with genes like torS (responsible for TMA production) and speF (responsible for putrescine production) being downregulated in quorum sensing mutants. Understanding how frr expression relates to these regulatory networks could reveal optimal intervention points for spoilage prevention.

What insights can comparative analysis of frr genes across S. baltica ecotypes provide about bacterial adaptation to marine environments?

Comparative analysis of frr genes across S. baltica ecotypes can provide remarkable insights into bacterial adaptation mechanisms in stratified marine environments. The four main ecotypes (OS155, OS185, OS195, and OS223) were isolated from different depths with unique redox conditions and nutrient availability , making them ideal for studying adaptation. Despite genomic similarity, these strains show significant differences in growth rates and metabolic capabilities when grown under identical conditions . By analyzing frr sequence variations, expression patterns, and functional differences across these ecotypes, researchers can understand how translation machinery components evolve during ecological specialization. This approach could reveal whether adaptation occurs primarily through changes in gene sequence, expression regulation, or post-translational modifications. Additionally, such analysis might identify specific amino acid substitutions that optimize frr function in different temperature, oxygen, or salinity conditions, providing broader insights into how bacteria adapt to diverse marine microenvironments.

How might research on S. baltica frr contribute to understanding ribosome recycling in psychrophilic organisms?

Research on S. baltica frr can significantly advance our understanding of ribosome recycling mechanisms in psychrophilic (cold-loving) organisms. As a psychrotrophic bacterium capable of growing at 0°C , S. baltica must maintain efficient translation at low temperatures where protein folding and enzymatic reactions typically slow down. By comparing the structural and biochemical properties of S. baltica frr with those from mesophilic bacteria, researchers can identify adaptations that enable efficient ribosome recycling in cold environments. These adaptations might include increased structural flexibility in specific regions, altered surface charge distribution, or modified binding interfaces with ribosomal components. Understanding these cold-adaptive features could inform the development of engineered translation systems for low-temperature applications, such as cold-active enzyme production or low-temperature bioremediation. Additionally, comparative studies across S. baltica ecotypes isolated from different depths and temperature regimes could reveal incremental adaptations in frr function that correspond to specific environmental conditions.

What are common pitfalls in working with recombinant S. baltica frr and how can they be overcome?

Working with recombinant S. baltica frr presents several challenges that researchers should anticipate. A primary issue is protein insolubility during expression, as the psychrotrophic nature of S. baltica means its proteins may fold improperly at standard E. coli culture temperatures. To overcome this, implement a cold-shock protocol with post-induction cultivation at 15-18°C for 16-24 hours. If insolubility persists, try fusion tags beyond the standard His-tag, such as MBP or SUMO, which enhance solubility. Another common problem is proteolytic degradation during purification; address this by adding protease inhibitor cocktails and working quickly at 4°C. Low activity in functional assays may result from incorrect disulfide bond formation; ensure buffers contain appropriate reducing agents (1-5 mM DTT). Protein instability during storage can be mitigated by adding 10% glycerol and flash-freezing small aliquots in liquid nitrogen. For activity assays, contaminating ribosomes from the expression host may interfere with results; use high-salt washes (500 mM NaCl) during purification to remove these contaminants. Finally, batch-to-batch variation can be minimized through rigorous standardization of expression conditions.

What analytical techniques are most informative for characterizing interactions between S. baltica frr and the ribosome?

For characterizing interactions between S. baltica frr and ribosomal components, a multi-technique approach yields the most comprehensive insights. Surface plasmon resonance (SPR) provides kinetic parameters (kon, koff, KD) for the interaction between immobilized frr and flowing ribosomal subunits under varying temperature and salt conditions. Microscale thermophoresis (MST) offers an alternative for measuring binding affinities in solution with minimal sample consumption. For stoichiometry determination, analytical ultracentrifugation is ideal, particularly sedimentation velocity experiments that can distinguish between different complex states. Hydrogen-deuterium exchange mass spectrometry (HDX-MS) identifies specific regions of frr that undergo conformational changes upon ribosome binding. Chemical cross-linking followed by mass spectrometry maps proximity relationships between specific residues in frr and ribosomal components. For structural characterization, cryo-electron microscopy has the advantage of visualizing the entire complex in near-native conditions. When conducting these studies, it's essential to compare binding parameters across different temperatures (0-25°C) to understand how S. baltica frr has adapted to function across its ecological temperature range.

How can researchers accurately measure the impact of frr variation on S. baltica's growth kinetics under different environmental conditions?

To accurately measure the impact of frr variation on S. baltica's growth kinetics across environmental conditions, researchers need a systematic approach combining genetic manipulation and precise growth monitoring. First, establish baseline growth profiles for wild-type S. baltica strains representing different ecotypes (OS155, OS185, OS195, OS223) using automated growth monitoring systems under controlled temperature, oxygen, and nutrient conditions . Next, generate strains with modified frr expression: knockdown strains using inducible antisense RNA, overexpression strains, and strains expressing frr variants found in different ecotypes. For each genetic variant, conduct growth experiments across a matrix of environmental conditions reflecting Baltic Sea parameters: temperatures (0-25°C), oxygen levels (fully aerobic to anaerobic), and salinities (0.5-3%). Beyond standard growth rate measurements, assess translation efficiency using polysome analysis or ribosome profiling to directly link frr function to protein synthesis rates. Previous studies have shown that S. baltica ecotypes exhibit significantly different growth rates and doubling times when grown under identical conditions , suggesting that translation efficiency may be a key factor in their ecological adaptation.

How should researchers interpret conflicting results between in vitro and in vivo studies of S. baltica frr function?

When faced with conflicting results between in vitro and in vivo studies of S. baltica frr function, researchers should implement a systematic troubleshooting approach. First, verify that the recombinant frr protein used in vitro retains its native conformation through circular dichroism spectroscopy and thermal shift assays. Consider that the simplified in vitro environment may lack co-factors or interacting partners present in vivo; supplement in vitro reactions with S. baltica cell extracts to test this hypothesis. Examine whether post-translational modifications present in vivo but absent in the recombinant protein might explain functional differences. For in vivo studies, assess whether frr overexpression or depletion might trigger compensatory mechanisms. Consider the inherent differences in concentrations between in vitro assays and cellular conditions. S. baltica's adaptation to different ecological niches with varying temperature, oxygen, and nutrient profiles suggests that its frr protein may function optimally under specific conditions that might be difficult to replicate precisely in vitro. Time-resolved studies can help distinguish between immediate and adaptive responses, providing insights into the primary function of frr versus secondary adaptations.

What statistical approaches are most appropriate for analyzing the relationship between frr sequence variations and functional differences across S. baltica ecotypes?

For analyzing the relationship between frr sequence variations and functional differences across S. baltica ecotypes, researchers should employ a multi-layered statistical approach. Begin with sequence-based analyses using maximum likelihood methods to identify sites under selection pressure and calculate evolutionary rates for different protein domains. Apply principal component analysis to identify patterns in amino acid substitutions that correlate with ecological parameters at isolation sites. For structure-function relationships, use multiple regression models incorporating physicochemical properties of substituted residues as independent variables and functional parameters (enzyme kinetics, thermal stability) as dependent variables. When analyzing growth data across ecotypes, employ mixed-effects models that account for both fixed effects (sequence variations) and random effects (experimental batches). Given that S. baltica ecotypes show significant differences in growth rates despite genomic similarity , correlating these phenotypic differences with specific frr sequence variations requires robust statistical methods that can handle multiple variables and potential interaction effects.

How can researchers distinguish between effects directly attributable to frr and secondary effects in transcriptomic and proteomic studies?

Distinguishing direct frr effects from secondary consequences in -omics studies requires strategic experimental design and sophisticated data analysis. First, employ time-course experiments following frr perturbation (induction, inhibition, or mutation) to separate immediate effects (likely direct) from delayed responses (likely secondary). Implement a titration approach with varying levels of frr expression to identify dose-dependent responses, which often indicate direct regulation. For transcriptomic studies, combine RNA-Seq with ribosome profiling to distinguish effects on transcription versus translation efficiency. In proteomic studies, use pulsed SILAC labeling to track newly synthesized proteins and identify those most immediately affected by frr manipulation. When analyzing differential expression patterns, focus particularly on genes involved in translation, as these are most likely to be directly affected by changes in ribosome recycling. Previous studies on S. baltica have shown that genes involved in amino acid metabolism, lipid metabolism, carbohydrate metabolism, and energy metabolism may be differentially expressed in response to genetic or environmental changes , providing a reference framework for identifying typical indirect responses.

What are promising avenues for developing targeted inhibitors of S. baltica frr as potential food preservation agents?

Developing targeted inhibitors of S. baltica frr represents a promising approach for next-generation food preservation technologies. Researchers should pursue several parallel strategies: First, employ structure-based drug design utilizing crystallographic data of S. baltica frr, focusing on regions that differ from commensal bacteria to ensure selectivity. Virtual screening of compound libraries against these structures can identify initial hit compounds. Second, develop high-throughput screening assays measuring frr activity in the presence of chemical libraries or marine-derived compounds. Third, explore peptide-based inhibitors designed to mimic the binding interface between frr and the ribosome. Since S. baltica's spoilage potential is regulated by quorum sensing systems that control the expression of genes like torS (responsible for TMA production) and speF (responsible for putrescine production) , combining frr inhibitors with quorum sensing inhibitors might provide synergistic preservation effects. For application development, explore encapsulation technologies to control inhibitor release in food systems, and perform shelf-life studies with inoculated food models to validate efficacy under real-world conditions.

How might CRISPR-Cas techniques be applied to study frr function in S. baltica ecotypes?

CRISPR-Cas techniques offer powerful approaches for studying frr function in S. baltica ecotypes. Researchers should develop optimized CRISPR-Cas9 or Cas12a systems for S. baltica, focusing on protocols that work efficiently at lower temperatures compatible with this psychrotrophic organism. These systems can be used to create precise gene knockouts, introduce specific mutations, or control gene expression through CRISPRi/CRISPRa approaches. For studying essential genes like frr, where complete knockout may be lethal, inducible CRISPRi systems allow titratable repression of gene expression. This approach would enable researchers to determine the minimum frr expression levels required for growth under different environmental conditions. Base editing techniques could be used to introduce specific amino acid substitutions found in different ecotypes, allowing direct testing of how sequence variations affect function. Given that S. baltica ecotypes show significant phenotypic differences despite genomic similarity , CRISPR-based approaches to swap frr variants between ecotypes could reveal whether frr differences contribute to growth rate variations and other ecotype-specific traits.

What interdisciplinary research collaborations would most advance our understanding of S. baltica frr's role in ecological adaptation?

Advancing our understanding of S. baltica frr's role in ecological adaptation requires strategic interdisciplinary collaborations bringing together diverse expertise. Structural biologists and biophysicists should partner to elucidate the molecular mechanisms of cold adaptation in the frr protein. Marine microbiologists and oceanographers should collaborate to sample S. baltica populations across Baltic Sea environmental gradients, correlating frr sequence variations with precise physicochemical parameters. Evolutionary biologists and computational modelers can develop frameworks predicting how translation machinery components evolve during ecological specialization. Systems biologists and biochemists should work together to map the interaction networks of frr under different environmental conditions. Food microbiologists and biotechnologists could leverage fundamental insights to develop novel food preservation strategies targeting frr. Given that S. baltica employs quorum sensing systems that regulate spoilage potential and biofilm formation , collaborations between experts in bacterial communication and protein synthesis could reveal potential regulatory links between population density sensing and translation efficiency. Regular interdisciplinary workshops would accelerate knowledge exchange across these diverse fields.

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