Recombinant Leuconostoc mesenteroides subsp. mesenteroides UPF0397 protein LEUM_1974 (UniProt ID: Q03US7) is a bacterially expressed protein derived from the lactic acid bacterium Leuconostoc mesenteroides. This protein is encoded by the LEUM_1974 gene, a conserved locus in the Leuconostoc genome, and is categorized under the UPF0397 protein family. It is primarily utilized in biochemical research for its enzymatic properties and structural studies .
LEUM_1974 has been identified as sucrose phosphorylase (EC 2.4.1.7), an enzyme critical in carbohydrate metabolism. It catalyzes the reversible conversion of sucrose and phosphate into α-D-glucose 1-phosphate and D-fructose . Key enzymatic properties include:
| Parameter | Value |
|---|---|
| Specific Activity | 190 U/mg |
| Optimal pH | 6.5–7.0 (assay-dependent) |
| Thermal Stability | Retains activity at 4°C for 7 days |
This enzyme’s activity is leveraged in biotechnological processes such as glycoside synthesis and the production of rare sugars .
Food Industry: L. mesenteroides is integral to fermented foods like kimchi and dairy products, where LEUM_1974 may contribute to flavor development through sucrose metabolism .
Pharmaceuticals: Recombinant LEUM_1974 is studied for its potential in synthesizing bioactive compounds, including prebiotics and antiviral agents .
Research Tool: The protein serves as a model for studying carbohydrate-active enzymes and their evolutionary adaptations .
Genetic Diversity: Multilocus sequence typing (MLST) of L. mesenteroides strains reveals high allelic variation in housekeeping genes like pyrG and rpoB, though LEUM_1974 itself is conserved across isolates .
Genomic Localization: In L. mesenteroides ATCC 8293, LEUM_1974 resides in a 2.038 Mbp chromosome, flanked by genes involved in stress response and metabolite transport .
Further studies are needed to elucidate LEUM_1974’s structural dynamics and its interactions with substrates like sucrose. Applications in synthetic biology, such as metabolic engineering for high-value dextran production, are also promising .
KEGG: lme:LEUM_1974
STRING: 203120.LEUM_1974
LEUM_1974 is part of the mtsABC transport system involved in the uptake of methionine or methionine precursors in Leuconostoc mesenteroides. It functions within a multicomponent system (LEUM_1974, 73, 72) that collectively mediates substrate transport across the cell membrane. This protein belongs to a family of ABC transporters that utilize ATP hydrolysis to drive the active transport of specific substrates. Current evidence indicates its primary function is related to both primary (P) and cellular (C) transport mechanisms for methionine metabolism .
LEUM_1974 shares functional similarities with other methionine transporters found in various Lactobacillales species. Comparative genomic analysis reveals conservation patterns in substrate specificity and structural organization across related organisms. While the core transport mechanism remains consistent, species-specific variations exist in regulatory elements and substrate affinities. For instance, similar methionine transport systems are found in other Lactobacillales (e.g., LEUM_1974, 73, 72), though with organism-specific adaptations that reflect their ecological niches and metabolic requirements .
The expression of LEUM_1974 is likely regulated through the T-box antitermination mechanism, a prevalent regulatory system for amino acid metabolism genes in Gram-positive bacteria. T-box systems respond to amino acid availability by sensing the charging status of cognate tRNAs. In Leuconostoc mesenteroides, methionine-related genes are typically controlled through this mechanism, allowing the organism to adjust transporter expression based on methionine availability. The regulatory architecture consists of a 5' leader region in the mRNA that forms alternative secondary structures depending on interaction with charged or uncharged tRNAs, ultimately determining whether transcription proceeds through the structural genes .
For optimal expression of soluble recombinant LEUM_1974, Escherichia coli-based systems with controlled induction parameters have proven most effective. When designing expression strategies, consider the following factors:
Expression strain selection: BL21(DE3) derivatives with enhanced rare codon compatibility
Vector design: pET series vectors with tunable promoter strength
Induction conditions: Optimize induction at mid-exponential phase (OD600 0.6-0.8) with moderate inducer concentration
Culture conditions: Lower temperatures (16-25°C) during induction phase to enhance proper folding
This approach mirrors successful strategies used for other recombinant proteins from lactic acid bacteria, where solubility challenges were overcome through systematic optimization of expression parameters .
Multivariate experimental design methods offer significant advantages over traditional univariate approaches for optimizing LEUM_1974 expression. Implement a fractional factorial screening design (2^8-4) to evaluate the effects of key variables with minimal experimental runs:
| Variable | Low Level | High Level |
|---|---|---|
| Induction OD600 | 0.4 | 1.0 |
| IPTG concentration | 0.1 mM | 1.0 mM |
| Post-induction temperature | 16°C | 37°C |
| Expression time | 4 h | 16 h |
| Media composition | Minimal | Rich |
| Glucose concentration | 0.2% | 2% |
| Agitation rate | 150 rpm | 250 rpm |
| Amino acid supplementation | None | 5 mM Met |
Statistical analysis of these conditions enables identification of significant variables and their interactions, leading to optimal conditions for soluble protein expression. This systematic approach has been shown to increase soluble protein yields significantly compared to univariate optimization methods .
As a component of a membrane transport system, LEUM_1974 presents specific challenges for recombinant expression. To overcome these:
Employ specialized E. coli strains (C41/C43) designed for membrane protein expression
Utilize fusion partners that enhance membrane insertion and folding (MBP, SUMO)
Incorporate mild detergents (DDM, LDAO) during extraction and purification
Consider cell-free expression systems for difficult constructs
This methodological approach addresses the unique challenges of membrane-associated proteins by providing an environment conducive to proper folding and stability. Recent studies with similar transporter proteins have shown up to 3-fold improvements in functional yield using these specialized conditions compared to standard expression protocols .
For efficient cloning of LEUM_1974, a PCR-based approach using genome-specific primers designed from the Leuconostoc mesenteroides reference genome sequence is recommended. The following methodology has proven effective:
Design primers based on the conserved regions flanking the LEUM_1974 gene
Amplify the target gene using high-fidelity DNA polymerase
Clone the amplified product into an intermediate vector (e.g., pGEM-T Easy) for sequence verification
Subclone into an expression vector (e.g., pCW4 for Leuconostoc or pET for E. coli)
This approach mirrors successful strategies used for cloning other genes from Leuconostoc mesenteroides, such as the menB gene, where genome sequence information facilitated precise amplification and subsequent expression .
For robust verification and quantification of LEUM_1974 expression:
Transcript level analysis:
RT-PCR for qualitative detection
qRT-PCR for quantitative assessment
Slot blot assays for comparative expression analysis between wild-type and recombinant strains
Protein level analysis:
Western blotting with anti-His or custom antibodies
SDS-PAGE with densitometry for semi-quantitative assessment
Mass spectrometry for absolute quantification
Transcript analysis through slot blot assays has successfully demonstrated increased gene expression in recombinant Leuconostoc strains compared to wild-type controls, providing a reliable method to confirm overexpression .
When designing constructs for structure-function studies:
Domain mapping: Identify functional domains through bioinformatic analysis
Truncation constructs: Design systematic truncations to isolate functional domains
Site-directed mutagenesis: Target conserved residues in substrate binding or ATP hydrolysis sites
Fusion strategies: Consider both N- and C-terminal tags, evaluating their impact on function
Reporter systems: Incorporate activity reporters for functional assessment
Each construct should be evaluated for proper folding and function through activity assays specific to methionine transport. This systematic approach enables correlation between structural elements and functional properties, similar to successful structure-function studies in related transport systems .
To assess the transport activity of recombinant LEUM_1974, several complementary approaches can be employed:
Radioactive substrate uptake assays:
Utilize 35S-labeled methionine to directly measure transport kinetics
Determine Km and Vmax values under various conditions
Fluorescent substrate analogs:
Use fluorescent methionine analogs for real-time transport monitoring
Employ FRET-based approaches for conformational change detection
Reconstitution in liposomes:
Purify LEUM_1974 and reconstitute in proteoliposomes
Measure substrate accumulation in the liposomal lumen
These methodologies provide comprehensive insights into transport mechanisms, substrate specificity, and kinetic parameters, essential for understanding the functional properties of LEUM_1974 in methionine transport .
Characterizing protein-protein interactions within the methionine transport complex requires:
Co-immunoprecipitation studies to identify interacting partners
Bacterial two-hybrid assays to confirm direct interactions
Pull-down assays with tagged components to isolate intact complexes
Cross-linking followed by mass spectrometry to map interaction interfaces
Surface plasmon resonance for quantitative binding kinetics
These complementary approaches provide a comprehensive picture of how LEUM_1974 interacts with LEUM_1973 and LEUM_1972 to form a functional methionine transport system. Understanding these interactions is crucial for elucidating the molecular mechanism of substrate translocation across the membrane .
To establish a comprehensive substrate specificity profile:
Competition assays with structurally related compounds
Transport kinetics with methionine derivatives and analogs
Binding studies with purified protein using isothermal titration calorimetry
In silico docking and molecular dynamics simulations
Mutational analysis of the predicted substrate binding pocket
These approaches can reveal whether LEUM_1974 is specific for methionine or can also transport related compounds such as cysteine, homocysteine, or S-adenosylmethionine. Understanding substrate specificity is crucial for defining the physiological role of this transporter in cellular metabolism .
For high-purity LEUM_1974 preparation suitable for structural studies:
Solubilization optimization:
Screen detergents systematically (DDM, LMNG, GDN)
Optimize detergent:protein ratios (typically 10:1 to 100:1)
Purification strategy:
IMAC purification using His-tag (with detergent above CMC)
Size exclusion chromatography for monodispersity assessment
Affinity chromatography for removal of contaminants
Stability optimization:
Screen buffer conditions (pH 6.5-8.0, NaCl 150-500 mM)
Add stabilizing agents (glycerol, specific lipids, substrate)
This systematic approach provides protein preparations with >95% homogeneity and structural integrity, suitable for crystallization or cryo-EM studies .
Multiple complementary approaches for structural characterization:
X-ray crystallography:
Vapor diffusion and lipidic cubic phase methods
In meso crystallization for membrane proteins
Cryo-electron microscopy:
Single particle analysis for high-resolution structure
2D crystallography for membrane protein arrangements
Nuclear magnetic resonance (NMR):
Solution NMR for dynamics studies
Solid-state NMR for membrane-embedded conformations
Small-angle X-ray scattering (SAXS):
Low-resolution envelope determination
Conformational changes upon substrate binding
Each method offers unique insights, with cryo-EM becoming increasingly valuable for membrane proteins like LEUM_1974 where crystallization may be challenging .
Computational methods provide valuable structural insights:
Homology modeling based on related ABC transporters
Molecular dynamics simulations to study conformational dynamics
Molecular docking to predict substrate binding modes
Coevolution analysis to identify functionally coupled residues
Quantum mechanics/molecular mechanics (QM/MM) for transition state modeling
These approaches can generate testable hypotheses about structure-function relationships, guide mutagenesis studies, and provide atomic-level insights into transport mechanisms that complement experimental structural biology methods .
Research on LEUM_1974 provides insights into:
Methionine acquisition pathways in lactic acid bacteria
Regulatory networks controlling amino acid metabolism
Adaptation mechanisms to methionine-limited environments
Metabolic engineering potential for improved strain development
These findings have broader implications for understanding bacterial adaptation and survival strategies in diverse ecological niches. By characterizing the methionine transport system, researchers can better understand how Leuconostoc mesenteroides responds to nutritional stress and maintains metabolic homeostasis .
Comparative genomic analysis reveals:
Conservation patterns across Lactobacillales and other bacteria
Evolutionary relationships between different transporter families
Horizontal gene transfer events in transporter evolution
Selection pressures on amino acid transport systems
The distribution of methionine transporters across bacterial taxa reflects both vertical inheritance and horizontal gene transfer events, with specific adaptations to different ecological niches. The evolutionary analysis of LEUM_1974 can be placed within the broader context of T-box regulatory systems across Gram-positive bacteria .
LEUM_1974 research provides a model system for studying:
T-box regulation of methionine-related genes
Coordination between transport and biosynthesis pathways
Regulatory RNA structures and their interaction with tRNAs
Integration of multiple nutritional signals in metabolic regulation
The T-box antitermination mechanism is a primary regulatory system for amino acid metabolism genes in Gram-positive bacteria. Understanding how this system controls methionine transporter expression can provide broader insights into bacterial adaptation to changing nutritional environments .
| Challenge | Cause | Solution |
|---|---|---|
| Inclusion body formation | Rapid overexpression, improper folding | Lower induction temperature (16-20°C), reduce inducer concentration, use solubility-enhancing tags |
| Low expression levels | Codon bias, toxicity, mRNA stability | Optimize codon usage, use regulated expression systems, enhance mRNA stability |
| Proteolytic degradation | Protease activity, protein instability | Add protease inhibitors, use protease-deficient strains, optimize buffer conditions |
| Aggregation during purification | Hydrophobic interactions, improper folding | Optimize detergent selection, include stabilizing additives, use on-column refolding |
| Loss of activity | Denaturation, cofactor loss, oxidation | Include reducing agents, test different buffer conditions, maintain appropriate metal ions |
Systematic troubleshooting of these common challenges is essential for successful recombinant expression and purification of functional LEUM_1974 .
When standard protocols fail, consider these advanced optimization strategies:
Alternative expression hosts:
Bacillus subtilis for Gram-positive expression
Lactococcus lactis for lactic acid bacteria expression
Cell-free systems for toxic proteins
Fusion partner screening:
Test multiple fusion partners (MBP, SUMO, Trx)
Position tags at N-terminus, C-terminus, or internal positions
Evaluate impact on solubility and function
Chaperone co-expression:
GroEL/GroES, DnaK/DnaJ/GrpE systems
Specialized membrane protein chaperones
Expression modulation:
Tunable promoters with precise control
Induction timing optimization based on growth phase
Strategic application of these approaches can significantly improve success rates with challenging membrane proteins like LEUM_1974 .
Effective analytical troubleshooting methods include:
Protein quality assessment:
Size exclusion chromatography with multi-angle light scattering (SEC-MALS)
Differential scanning fluorimetry for stability evaluation
Native PAGE for oligomeric state determination
Dynamic light scattering for aggregation detection
Functional analysis:
ATPase activity assays to verify enzymatic function
Substrate binding assays using fluorescence or SPR
Reconstitution in nanodiscs for functional studies
Structural integrity:
Circular dichroism for secondary structure evaluation
Limited proteolysis to identify stable domains
Mass spectrometry for post-translational modifications
These analytical methods provide critical insights into protein quality, allowing researchers to identify specific issues in the expression and purification pipeline and implement targeted interventions .
CRISPR-Cas9 gene editing offers powerful approaches for:
Precise genomic modifications:
Gene deletion to assess phenotypic consequences
Point mutations to test structure-function hypotheses
Domain swapping with related transporters
Regulatory studies:
Promoter modifications to alter expression levels
T-box element engineering to manipulate regulation
Reporter gene fusions for expression monitoring
Systems biology approaches:
Multiplexed editing to study transporter redundancy
Creation of conditional knockdowns for essential genes
Genome-wide screens for functional partners
These genetic manipulation strategies can provide direct insights into LEUM_1974 function within its native cellular context, complementing in vitro studies with recombinant protein .
Emerging technologies with potential impact include:
Integrative structural biology:
Cryo-electron tomography for in situ structural analysis
Mass photometry for single-molecule mass determination
Hydrogen-deuterium exchange mass spectrometry for dynamics
Advanced functional assays:
Single-molecule FRET for conformational dynamics
Microfluidic systems for high-throughput transport assays
Nanopore-based single-molecule transport detection
Computational approaches:
AlphaFold2 structure prediction and refinement
Enhanced sampling molecular dynamics for transport mechanisms
Deep learning for functional annotation and prediction
These cutting-edge technologies promise to provide unprecedented insights into the structural dynamics and functional mechanisms of LEUM_1974 and related transport systems .
Systems biology offers integrative approaches to contextualize LEUM_1974 function:
Multi-omics integration:
Combine transcriptomics, proteomics, and metabolomics data
Map methionine transport to global metabolic networks
Identify regulatory networks controlling transporter expression
Metabolic flux analysis:
Trace methionine utilization through central metabolism
Quantify impact of transporter activity on metabolic fluxes
Model adaptive responses to methionine limitation
Network modeling:
Develop mathematical models of transport kinetics
Integrate into genome-scale metabolic models
Simulate system responses to environmental perturbations
These approaches place LEUM_1974 function within the broader context of cellular metabolism, providing insights into its role in maintaining methionine homeostasis and supporting essential cellular processes .