Prosthecochloris vibrioformis is a phototrophic, anaerobic bacterium isolated from aquatic environments . Its genome encodes core metabolic pathways for sulfur oxidation and photoautotrophy, with IF-2 (InfB) being part of the nusA-infB operon, which is upregulated under cold stress . Comparative genomics reveal:
ANIb values: 72–76% similarity to other Prosthecochloris species (e.g., P. phaeum CIB 2401) .
Unique features: Presence of a Tad pili gene cluster in some Prosthecochloris strains, absent in others .
| Species | ANIb vs. P. vibrioformis | Notable Genomic Features |
|---|---|---|
| P. phaeum CIB 2401 | 72.3% | Shared Tad pili gene cluster |
| P. vibrioformis DSM 260 | 98.3% | Sulfur metabolism genes |
| P. ethylica | 75% | Photosynthetic gene clusters |
Recent studies highlight IF-2’s roles beyond translation initiation:
Ribosome maturation: IF-2 stabilizes immature ribosomal subunits during cold stress .
Genome integrity: IF-2 interacts with restart proteins (e.g., PriA) to resolve replication forks during DNA damage .
Protein chaperone activity: Facilitates structural rearrangements in ribosomal complexes .
In Prosthecochloris, IF-2’s expression is tightly regulated:
Cold shock response: Increased transcription of infB under cold stress .
Syntrophic relationships: Co-occurs with sulfur-reducing bacteria (e.g., Halodesulfovibrio) in coral-associated ecosystems .
The recombinant P. vibrioformis IF-2 offers opportunities for:
Biocatalysis: Enhancing translation efficiency in heterologous protein production systems.
Structural biology: Studying ribosome dynamics in extremophiles.
Therapeutics: Targeting IF-2 in pathogens to disrupt translation machinery.
KEGG: pvi:Cvib_1561
STRING: 290318.Cvib_1561
Translation Initiation Factor IF-2 (infB) is a critical protein involved in bacterial protein synthesis. In Prosthecochloris vibrioformis (previously classified as Chlorobium phaeovibrioides strain DSM 265), IF-2 likely functions similarly to other bacterial homologs by promoting the binding of formylmethionyl-tRNA (fMet-tRNA) to the ribosome during translation initiation. This process involves GTP hydrolysis and is essential for correct start codon selection. Based on comparative studies with E. coli IF-2, the protein likely contains multiple functional domains, including a GTP-binding domain typically located within domain IV and a C-terminal domain involved in tRNA binding . Prosthecochloris belongs to green sulfur bacteria (GSB), which are photosynthetic, nonmotile bacteria that can oxidize sulfide during photosynthesis .
Recombinant P. vibrioformis Translation initiation factor IF-2 should be stored at -20°C for regular storage, or at -80°C for extended preservation . Working aliquots can be maintained at 4°C for up to one week, but repeated freezing and thawing is not recommended as it can compromise protein integrity . For reconstitution, the lyophilized protein should be dissolved in deionized sterile water to a concentration of 0.1-1.0 mg/mL . Addition of glycerol (5-50% final concentration, with 50% being standard) is recommended for long-term storage to prevent freeze-damage . The shelf life of the liquid form is approximately 6 months at -20°C/-80°C, while the lyophilized form can maintain stability for up to 12 months when properly stored .
Recombinant P. vibrioformis IF-2 is typically produced using a baculovirus expression system . The process involves cloning the gene encoding the partial IF-2 protein from Prosthecochloris vibrioformis into an appropriate expression vector, followed by transfection into insect cells. The baculovirus system allows for high expression levels of functionally active eukaryotic proteins with appropriate post-translational modifications. Following expression, the protein is purified to achieve a purity of >85% as verified by SDS-PAGE . The final product may include an affinity tag, though the specific tag type is typically determined during the manufacturing process based on experimental requirements . This approach provides a consistent source of the protein for research applications while maintaining its structural and functional integrity.
Prosthecochloris vibrioformis, previously known as Chlorobium phaeovibrioides (strain DSM 265/1930), belongs to the phylum Chlorobi, class Chlorobia . This taxonomic reclassification is important when reviewing literature, as older studies may refer to the organism under its previous designation. P. vibrioformis is a green sulfur bacterium (GSB) characterized by its photosynthetic abilities and nonmotile nature . Species within the Prosthecochloris genus differ in cell morphology (spherical or ovoid) and requirements for vitamin B12 as a growth factor . Recent genomic studies have identified Prosthecochloris strains in coral skeletons, forming distinctive green layers, suggesting ecological adaptation to specific niches . When working with recombinant proteins from this organism, researchers should be aware of these taxonomic considerations and the unique ecological context from which the native organism derives.
Comparative analysis of IF-2 across bacterial species reveals a complex pattern of conservation and divergence. In E. coli, IF-2 consists of 890 amino acids organized into six domains with distinct functions . Studies of IF-2 in E. coli clinical isolates revealed extremely high conservation within the species, with only one polymorphic position (Gln/Gly490) identified in the GTP/GDP-binding domain among 10 clinical isolates . This suggests strong selection pressure maintaining IF-2 structure once it reaches an optimal configuration for a particular species.
The N-terminal domains of IF-2 show different patterns of conservation: they are highly conserved within species but show significant variability between species . This suggests species-specific functions that may relate to ecological adaptation. For Prosthecochloris, which inhabits unique ecological niches such as coral skeletons, the IF-2 structure may include adaptations to this environment . The GTP-binding domain (domain IV) likely maintains high conservation due to its essential catalytic function, while the C-terminal domain (VI) involved in tRNA binding may show intermediate conservation based on the universal aspects of the translation machinery .
Researchers should conduct detailed sequence alignments and structural predictions to identify conserved motifs and potential structural adaptations that might influence the protein's function in P. vibrioformis compared to model organisms like E. coli.
To comprehensively characterize the interaction between P. vibrioformis IF-2 and ribosomes, researchers should employ multiple complementary approaches:
In vitro reconstitution assays: Using purified components (recombinant IF-2, ribosomes, fMet-tRNA, GTP), researchers can reconstruct the translation initiation complex and monitor formation of the 70S initiation complex through techniques such as light scattering or sedimentation analysis.
GTPase activity assays: Since IF-2 functions as a GTPase during translation initiation, measuring its GTP hydrolysis activity in the presence and absence of ribosomes can provide insights into functional interactions. This can be quantified by monitoring inorganic phosphate release using colorimetric methods.
Binding kinetics analysis: Surface plasmon resonance (SPR) or bio-layer interferometry (BLI) can determine association and dissociation rates between IF-2 and ribosomes under various conditions, revealing the strength and dynamics of the interaction.
Structural studies: Cryo-electron microscopy (cryo-EM) can visualize the IF-2-ribosome complex, providing detailed information about binding interfaces and conformational changes. Complementary approaches like small-angle X-ray scattering (SAXS) can provide additional structural insights.
Chemical cross-linking coupled with mass spectrometry: This approach can identify specific amino acid residues involved in the interaction, providing detailed information about contact points between IF-2 and the ribosome.
When designing these experiments, researchers should consider the influence of buffer conditions, temperature, and the presence of other initiation factors (IF-1, IF-3) on the interaction dynamics.
Horizontal gene transfer (HGT) plays a significant role in bacterial evolution, and genomic evidence suggests it may have influenced the infB gene in Prosthecochloris species. Studies of coral-associated Prosthecochloris strains have found mobile genetic elements (MGEs) in genomic loci containing adaptive genes, suggesting that MGEs play an important role in evolutionary diversification . This provides a potential mechanism for the acquisition or modification of genes like infB.
To investigate the role of HGT in infB evolution, researchers should:
Conduct phylogenetic analyses: Construct phylogenetic trees based on the infB gene and compare them with species trees based on conserved markers (e.g., 16S rRNA). Incongruences between these trees may indicate HGT events.
Analyze genomic context: Examine the regions flanking the infB gene for signatures of MGEs, unusual GC content, or codon usage patterns that might suggest foreign origin.
Apply network-based approaches: Use gene-sharing networks rather than strict phylogenetic trees to visualize potential horizontal gene flow affecting the infB gene. This approach aligns with newer concepts in bacterial evolution that recognize the limitations of tree-thinking when horizontal processes are significant .
Screen for recombination events: Apply statistical methods to detect potential recombination breakpoints within or surrounding the infB gene.
The prevalence of MGEs in Prosthecochloris genomes from coral skeletons suggests that horizontal exchange may have contributed to adaptation to this specific ecological niche , potentially including modifications to the translation machinery through the acquisition or refinement of genes like infB.
To investigate the potential role of P. vibrioformis IF-2 in stress response, a comprehensive experimental design should include:
Expression analysis under stress conditions:
Subject P. vibrioformis cultures to relevant stressors (oxidative stress, light limitation, sulfide fluctuations)
Quantify infB transcript levels using RT-qPCR
Measure IF-2 protein levels using western blot with specific antibodies
Perform ribosome profiling to assess translational activity under stress
Protein function under stress:
Purify recombinant P. vibrioformis IF-2
Assess GTPase activity and ribosome binding under stress conditions
Evaluate thermal stability and conformational changes using circular dichroism or differential scanning fluorimetry
Compare with IF-2 from non-adapted bacteria to identify stress-specific functional differences
Genetic manipulation approaches:
Develop conditional expression systems for infB if genetic tools are available
Express P. vibrioformis infB in a heterologous host where native infB expression can be modulated
Create variants with mutations in specific domains to dissect their contributions to stress response
Systems biology integration:
Perform transcriptomic and proteomic analyses under stress conditions
Identify co-regulated genes and potential regulatory networks involving IF-2
Develop models of how translational regulation might contribute to stress adaptation
This experimental framework would reveal whether P. vibrioformis IF-2 plays a specific role in stress adaptation, potentially through selective translation of stress-response genes or through structural adaptations that maintain translation efficiency under challenging environmental conditions found in coral skeleton microenvironments .
Optimal reconstitution of Recombinant P. vibrioformis IF-2 is critical for maintaining functional activity. The following protocol is recommended based on available information:
Initial preparation:
Buffer optimization for functional studies:
For GTPase activity assays, use a buffer containing:
50 mM Tris-HCl (pH 7.5-8.0)
100-200 mM potassium or ammonium acetate
5-10 mM magnesium acetate (essential for GTP binding)
1-5 mM DTT (to maintain reduced cysteines)
Activity verification:
Confirm proper folding using circular dichroism or fluorescence spectroscopy
Verify GTPase activity using a phosphate release assay
Assess ribosome binding capacity through co-sedimentation assays
Test fMet-tRNA binding function using filter binding or fluorescence anisotropy
Stability considerations:
By carefully optimizing these conditions, researchers can ensure that reconstituted Recombinant P. vibrioformis IF-2 maintains its native conformation and functional activity for experimental applications.
Designing comparative experiments to investigate functional differences between P. vibrioformis IF-2 and IF-2 from other bacterial species requires a systematic approach:
Protein preparation and characterization:
Express and purify IF-2 from P. vibrioformis and selected comparison species (e.g., E. coli)
Ensure consistent purification protocols to minimize method-induced variations
Characterize all proteins using the same analytical methods (SDS-PAGE, size exclusion chromatography)
Functional assays:
GTPase activity: Measure intrinsic and ribosome-stimulated GTPase activity under identical conditions
fMet-tRNA binding: Quantify affinity using fluorescence anisotropy or filter binding assays
Ribosome binding: Compare affinity for ribosomes using surface plasmon resonance
Translation initiation efficiency: Assess ability to form 70S initiation complexes in reconstituted systems
Cross-species complementation:
Create an E. coli strain with conditional expression of native infB
Introduce plasmids expressing IF-2 from different species, including P. vibrioformis
Assess growth rates and protein synthesis efficiency
Analyze polysome profiles to identify potential effects on translation
Domain swap experiments:
This comprehensive approach will provide insights into both conserved functions and species-specific adaptations of IF-2 across different bacterial lineages, potentially revealing how P. vibrioformis IF-2 has adapted to its unique ecological niche.
Studying the evolutionary history of infB genes requires a combination of computational and experimental approaches:
Network-based approaches may be particularly valuable for studying infB evolution, as they can reveal patterns of horizontal gene transfer and recombination that traditional phylogenetic trees might miss . This is especially relevant for bacteria like Prosthecochloris that show evidence of genomic adaptation through mobile genetic elements .
To investigate the role of P. vibrioformis IF-2 in environmental adaptation, researchers should employ a multi-faceted approach:
Comparative genomic and expression analysis:
Sequence infB genes from P. vibrioformis strains isolated from different microenvironments
Quantify infB expression levels under conditions mimicking different ecological niches (varying light, sulfide, oxygen levels)
Perform ribosome profiling to assess translational activity across different environmental conditions
Compare with related species from different habitats
Functional characterization under varying conditions:
Purify recombinant P. vibrioformis IF-2 and assess activity under conditions relevant to coral skeleton environments:
Ecological sampling and analysis:
Isolate P. vibrioformis from different coral species or microenvironments
Sequence and compare infB genes from these isolates
Correlate genetic variations with specific ecological parameters
Analyze infB in conjunction with other adaptation-related genes
Experimental evolution approaches:
Subject P. vibrioformis to controlled laboratory evolution under specific environmental pressures
Monitor changes in infB sequence and expression over time
Characterize evolved strains for altered environmental tolerance and IF-2 function
This comprehensive approach would provide insights into whether P. vibrioformis IF-2 has been adapted to the specific challenges of the coral skeleton environment, potentially contributing to our understanding of how bacteria adapt fundamental cellular processes to specialized ecological niches .
When faced with conflicting data regarding domain functions in P. vibrioformis IF-2, researchers should systematically evaluate:
Methodological differences:
Compare experimental protocols in detail, focusing on protein preparation methods
Assess whether differences in buffer conditions, temperature, or pH might explain discrepancies
Evaluate whether different tags or purification strategies affect protein conformation
Consider sensitivity and specificity differences between assays
Experimental context considerations:
Examine whether experiments were conducted in vitro or in vivo
Assess whether homologous or heterologous systems were used
Consider whether interaction partners present in some experiments but not others could affect results
Evaluate potential differences in post-translational modifications
Reconciliation strategies:
Design experiments specifically aimed at resolving contradictions
Perform side-by-side comparisons under identical conditions
Consider that domains may have multiple functions or context-dependent activities
Develop models that accommodate seemingly contradictory observations
Structural perspective:
Use homology modeling or structural determination to inform functional hypotheses
Map conflicting data onto structural models to identify potential explanations
Consider allosteric effects or conformational changes that might reconcile different observations
By systematically analyzing conflicting data through these lenses, researchers can develop a more nuanced understanding of P. vibrioformis IF-2 domain functions, potentially revealing complexity in the protein's activity that would not be apparent from consistent but incomplete data sets.
To predict and analyze potential post-translational modifications (PTMs) of P. vibrioformis IF-2, researchers should employ a multi-layered bioinformatic approach:
Sequence-based prediction tools:
Use specialized algorithms for predicting common PTMs:
Phosphorylation: NetPhos, GPS, PhosphoSite
Methylation: MeMo, GPS-MSP
Acetylation: PAIL, GPS-PAIL
Glycosylation: NetNGlyc, NetOGlyc
Apply multiple tools and look for consensus predictions to increase confidence
Structural context analysis:
Generate homology models of P. vibrioformis IF-2 based on known structures of bacterial IF-2
Assess surface accessibility of predicted modification sites
Evaluate proximity to functional regions (GTP binding, ribosome interaction)
Consider conservation of predicted sites across related species
Evolutionary conservation analysis:
Align IF-2 sequences from multiple Prosthecochloris strains and related bacteria
Identify conserved residues that match common modification motifs
Assess whether potential modification sites show evolutionary patterns consistent with functional importance
Integration with experimental data:
Compare predictions with PTMs identified in related bacteria
Design targeted experiments to verify high-confidence predictions
Consider the environmental context of P. vibrioformis when evaluating biological relevance of predicted PTMs
After identification of potential modification sites, researchers should validate predictions through mass spectrometry-based experimental approaches, focusing on modifications most likely to influence IF-2 function in the context of P. vibrioformis ecology.
Distinguishing between adaptive evolution and neutral drift in the P. vibrioformis infB gene requires applying multiple analytical approaches:
Selection pressure analysis:
Calculate the ratio of non-synonymous to synonymous substitutions (dN/dS) across the gene
Apply codon-based models to identify specific sites under positive selection
Use sliding window approaches to detect regions with elevated dN/dS ratios
Compare with housekeeping genes to establish baseline expectations for neutral evolution
Population genetics approaches:
Analyze polymorphism patterns within P. vibrioformis populations
Apply neutrality tests (Tajima's D, Fu and Li's F) to detect deviations from neutral expectations
Calculate the McDonald-Kreitman test to compare polymorphism and divergence patterns
Consider demographic effects that might mimic selection signatures
Comparative approaches:
Compare evolutionary rates of infB with those of other genes in the P. vibrioformis genome
Analyze conservation patterns across functional domains
Look for convergent evolution in infB genes from unrelated bacteria in similar environments
Evaluate whether substitution patterns correlate with ecological factors
Structure-function integration:
Map potentially adaptive changes onto structural models of IF-2
Assess whether substitutions occur in functionally important regions
Determine if changes likely affect interaction with ribosomes, GTP, or tRNA
Consider whether substitutions might confer environmental adaptations relevant to the coral skeleton habitat
By integrating these approaches, researchers can build a compelling case for whether observed sequence variations in P. vibrioformis infB represent adaptive evolution in response to specific selective pressures or simply reflect neutral evolutionary processes.
Analyzing evolutionary patterns in translation initiation factors like P. vibrioformis IF-2 requires sophisticated statistical approaches:
Phylogenetic inference methods:
Model selection: Use likelihood ratio tests or information criteria (AIC, BIC) to select appropriate evolutionary models
Tree inference: Apply maximum likelihood or Bayesian methods with appropriate substitution models
Confidence assessment: Use bootstrap or posterior probabilities to evaluate support for evolutionary relationships
Tree comparison metrics: Apply Robinson-Foulds distance or related metrics to quantify incongruence between gene trees and species trees
Selection analysis:
Site-specific models: Use likelihood ratio tests to compare models that allow or disallow positive selection
Branch-site methods: Test for episodic selection on specific lineages
Mixed effects model of evolution (MEME): Detect episodic diversifying selection at individual sites
FUBAR/SLAC/FEL approaches: Apply complementary methods to identify sites under selection
Network-based statistics:
Clustering coefficients: Measure the degree to which nodes in a gene-sharing network tend to cluster together
Path length analysis: Assess the average number of steps between sequences in a network
Modularity metrics: Identify natural divisions within networks that might represent distinct evolutionary lineages
Flow analysis algorithms: Quantify potential gene flow between different bacterial groups
Reconciliation statistics:
Likelihood-based tests: Compare likelihoods of different evolutionary scenarios
ALE (Amalgamated Likelihood Estimation): Reconcile gene trees with species trees considering events like duplication, transfer, and loss
Bayesian approaches: Calculate posterior probabilities of different evolutionary histories
When analyzing infB evolution in particular, network-based approaches may be especially valuable for capturing non-vertical inheritance patterns that traditional phylogenetic methods might miss , particularly given the evidence for mobile genetic elements influencing genomic evolution in Prosthecochloris .
Comparative studies of IF-2 across diverse bacterial species, including P. vibrioformis, could significantly advance our understanding of translational regulation in several ways:
Evolution of translational control mechanisms:
Tracking diversification of IF-2 across the bacterial kingdom could reveal how translation initiation has been fine-tuned during evolution
Identifying correlation patterns between IF-2 variants and ecological niches could provide insights into environment-specific translational regulation
Examining co-evolution between IF-2 and other components of the translation machinery could reveal previously unknown regulatory interactions
Species-specific adaptation of translation initiation:
Comparative analysis of N-terminal domains, which show high variability between species but conservation within species , could reveal specialized regulatory functions
Investigating differences in GTPase activity regulation across species might uncover diverse mechanisms for controlling translation rates
Exploring variations in tRNA and ribosome binding properties could identify species-specific optimizations
Integration with other cellular processes:
Comparative studies could reveal how translation initiation interfaces with stress response pathways across different bacterial lifestyles
Analysis of post-translational modifications across species might identify conserved or divergent regulatory mechanisms
Investigation of IF-2 isoforms and their expression patterns could uncover novel strategies for proteome diversification
Theoretical advances in understanding bacterial adaptation:
Insights from IF-2 evolution could inform broader theories about how core cellular machinery adapts to diverse environments
Integration with network-based evolutionary models could help resolve the relative contributions of vertical inheritance and horizontal gene transfer in shaping translation systems
This research direction would contribute to fundamental knowledge about bacterial adaptation while potentially revealing novel regulatory mechanisms that could be exploited for biotechnological applications or antimicrobial development.
Research on P. vibrioformis IF-2 could lead to several innovative applications in biotechnology and medicine:
Enhanced protein expression systems:
IF-2 variants with specialized properties could be used to optimize in vitro translation systems
Engineering chimeric IF-2 proteins incorporating domains from P. vibrioformis might enhance protein production under specific conditions
Insights into environmental adaptation of IF-2 could lead to translation systems optimized for extreme conditions
Novel antimicrobial strategies:
Comparative studies might reveal species-specific features of IF-2 that could be targeted by narrow-spectrum antibiotics
Peptides or small molecules that selectively interfere with pathogen IF-2 function could be developed
Understanding resistance mechanisms could inform antibiotic stewardship and development strategies
Synthetic biology applications:
P. vibrioformis IF-2 adaptations for sulfide-rich environments could be incorporated into synthetic circuits for environmental sensing
Modified IF-2 variants could serve as regulatory components in engineered bacterial systems
insights into translation regulation could enable development of tunable gene expression systems
Environmental biotechnology:
Understanding adaptation of translation machinery to coral skeleton environments could inform development of monitoring tools for coral reef health
Engineering bacteria with P. vibrioformis-derived translation components might enhance their function in specific environmental applications
Insights from natural adaptation could guide design of microorganisms for bioremediation in challenging environments
By studying a translation factor from a non-model organism with unique ecological adaptations, researchers may discover novel properties and mechanisms that can be harnessed for biotechnological innovation beyond what would be possible from studying traditional model organisms alone.
Network-based approaches offer distinct advantages over traditional phylogenetic methods for understanding IF-2 evolution, particularly in bacteria like Prosthecochloris where horizontal gene transfer may play a significant role :
Capturing non-vertical inheritance patterns:
While traditional phylogenetic trees presume a strictly bifurcating pattern of vertical inheritance, network structures can represent multiple connections between sequences
Network approaches can visualize gene flow between different bacterial lineages, revealing potential horizontal gene transfer events affecting infB
Reticulation patterns in networks can highlight recombination events that merge genetic material from different sources
Quantifying evolutionary relationships differently:
Networks can represent evolutionary distance through edge weights rather than branch lengths
Clustering algorithms can identify natural groupings of sequences without forcing a tree-like structure
Centrality measures can identify sequences that might represent evolutionary hubs or bridges between different groups
Integrating multiple data types:
Networks can simultaneously represent sequence similarity, functional relationships, and ecological associations
Multi-layer networks can integrate genomic data with information about mobile genetic elements and ecological niches
Time-resolved networks can capture dynamic aspects of evolution that static trees cannot represent
Handling incomplete lineage sorting and ambiguity:
Networks naturally accommodate the ambiguity that arises from incomplete lineage sorting
Consensus networks can represent areas of phylogenetic uncertainty more intuitively than consensus trees
Statistical approaches for network analysis can quantify confidence in observed patterns
Given that bacterial evolution involves both vertical and horizontal processes, and that mobile genetic elements have been implicated in Prosthecochloris evolution , network-based approaches provide a more accurate representation of the complex evolutionary history of genes like infB than traditional tree-based methods alone .
Studying translation initiation factors from non-model organisms like P. vibrioformis presents distinct challenges and opportunities:
Key Challenges:
Technical limitations:
Limited genetic tools for manipulation of non-model organisms
Difficulties in culturing organisms with specific environmental requirements
Lack of established protocols for protein expression and purification
Absence of species-specific antibodies and other reagents
Knowledge gaps:
Limited reference data on protein structure and function
Incomplete genome annotations and functional characterizations
Uncertain evolutionary relationships and taxonomic classifications
Poor understanding of ecological context and environmental adaptations
Methodological hurdles:
Need for specialized growth conditions mimicking natural habitats
Difficulties in reconstituting homologous translation systems
Challenges in distinguishing species-specific features from experimental artifacts
Limited computational models trained on data from non-model organisms
Future Opportunities:
Discovery of novel mechanisms:
Identification of unique adaptations in translation machinery related to specific ecological niches
Discovery of novel regulatory mechanisms that have evolved in specialized bacteria
Insight into alternative solutions to common biological challenges
Methodological innovations:
Development of new culturing techniques for previously unculturable bacteria
Advancement of heterologous expression systems for proteins from diverse organisms
Creation of computational tools specifically designed for non-model organism research
Ecological and evolutionary insights:
Biotechnological applications:
Discovery of protein variants with unique properties for biotechnological applications
Development of translation systems optimized for challenging conditions
Identification of new targets for narrow-spectrum antimicrobials
By addressing these challenges and pursuing these opportunities, research on P. vibrioformis IF-2 can contribute to a more comprehensive understanding of bacterial adaptation and evolution while potentially yielding innovative applications in biotechnology and medicine.