KEGG: shw:Sputw3181_1172
The full amino acid sequence of Sputw3181_1172 is: MTVITTLGLFIITAIAEIVGCYLPYLWLKKGASAWVLLPAAISLALFAWLLTLHPTAAGRVYAAYGGVYVTIAIAVWLWGVDGIQPHRWDLAGVVLMLAGMAVIMFAPR . Analysis of this sequence suggests it is a highly hydrophobic membrane protein with multiple predicted transmembrane domains. Secondary structure prediction indicates alpha-helical regions that likely span the membrane, consistent with its classification as a UPF0060 family membrane protein. The protein's hydrophobic nature is evident from the prevalence of non-polar amino acids such as leucine, isoleucine, valine, and alanine throughout the sequence.
E. coli-based expression systems have proven effective for the recombinant production of Sputw3181_1172 . When expressing membrane proteins like Sputw3181_1172, several methodological considerations are critical:
Vector selection: pET vectors with T7 promoters provide controllable, high-level expression
Host strain: C41(DE3) or C43(DE3) strains specifically designed for membrane protein expression often yield better results than standard BL21(DE3)
Induction conditions: Lower temperatures (16-20°C) and reduced IPTG concentrations (0.1-0.5 mM) typically improve proper folding
Membrane extraction: Careful optimization of detergent type and concentration is essential for solubilization without denaturation
The commercially available recombinant Sputw3181_1172 is typically produced with a His-tag to facilitate purification, though the tag type may vary depending on production requirements .
While the specific function of Sputw3181_1172 has not been fully characterized, Shewanella species demonstrate remarkable metabolic versatility, particularly in their ability to use diverse electron acceptors. Shewanella species possess genes for extracellular electron transfer (EET), including omcA mtrCAB, enabling them to reduce Fe³⁺ and other metals . They can also reduce NO₃⁻ to NO₂⁻ via napAB genes, produce H₂ via hydAB, and reduce various sulfur compounds through sirA, phsABC, and ttrABC gene products .
As a membrane protein, Sputw3181_1172 may potentially participate in these metabolic pathways, possibly contributing to membrane integrity, transport functions, or signaling processes related to the bacterium's adaptability to various environments. Research methodologies to investigate its role might include:
Gene knockout studies to observe phenotypic changes
Protein localization experiments using fluorescent tags or antibodies
Metabolomic analyses comparing wild-type and mutant strains under various growth conditions
Purification of membrane proteins like Sputw3181_1172 requires specialized approaches:
Affinity chromatography: His-tagged Sputw3181_1172 can be purified using immobilized metal affinity chromatography (IMAC) . The inclusion of appropriate detergents throughout the purification process is critical.
Detergent selection: A systematic screening approach is recommended, testing mild detergents such as n-dodecyl-β-D-maltoside (DDM), n-decyl-β-D-maltoside (DM), or lauryl maltose neopentyl glycol (LMNG).
Buffer optimization: Typical buffer conditions include:
pH 7.5-8.0 Tris or phosphate buffer
150-300 mM NaCl for ionic strength
5-10% glycerol as a stabilizing agent
1-5 mM reducing agent (DTT or β-mercaptoethanol)
Size exclusion chromatography: As a polishing step to remove aggregates and ensure homogeneity of the protein-detergent complex.
The commercially available recombinant Sputw3181_1172 is supplied in a Tris-based buffer with 50% glycerol, optimized for protein stability .
Diethylpyrocarbonate (DEPC) covalent labeling mass spectrometry offers a promising approach for studying membrane protein structures and interactions in living cells . This methodology could be applied to Sputw3181_1172 using the following protocol:
Live cell labeling: Treat Shewanella sp. cultures expressing Sputw3181_1172 with DEPC under controlled conditions.
Protein extraction and digestion: Extract labeled proteins and digest with proteases (typically trypsin) to generate peptide fragments.
MS analysis: Analyze the peptides using liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify DEPC-modified residues.
Comparative analysis: Compare labeling patterns under different conditions (e.g., with/without binding partners) to identify:
Residues with decreased labeling (indicating burial upon interaction)
Residues with increased labeling (indicating conformational changes that expose previously protected sites)
Changes in distant regions (suggesting allosteric effects)
This approach has been successfully demonstrated with membrane-bound tumor necrosis factor α (mTNFα) and could reveal structural insights and binding interactions of Sputw3181_1172 in its native cellular environment .
Determining the oligomeric state of membrane proteins like Sputw3181_1172 requires specialized approaches:
Blue Native PAGE: Separates native protein complexes while maintaining their oligomeric states
Sample preparation: Solubilize membranes with gentle detergents
Electrophoresis: Run at 4°C with Coomassie Blue G-250 dye
Analysis: Compare migration with known molecular weight standards
Analytical ultracentrifugation (AUC):
Sedimentation velocity experiments: Determine sedimentation coefficients
Sedimentation equilibrium: Calculate molecular mass independent of shape
Size exclusion chromatography coupled with multi-angle light scattering (SEC-MALS):
Separates proteins based on size
MALS detector determines absolute molecular weight
Detergent contribution can be accounted for using differential refractive index measurements
Chemical crosslinking followed by MS analysis:
Treat with crosslinkers of defined length
Identify crosslinked peptides by MS
Map interaction interfaces between subunits
Several bioinformatic approaches can provide insights into the potential function of Sputw3181_1172:
Homology-based function prediction:
BLAST searches against characterized proteins
Hidden Markov Model (HMM) profile analysis against protein family databases
Structural homology modeling followed by function inference
Genomic context analysis:
Examine neighboring genes in the Shewanella sp. genome
Identify conserved operons across related species
Apply guilt-by-association principles for functional prediction
Protein-protein interaction prediction:
Coevolution analysis to identify potential interaction partners
Docking simulations with predicted partners
Interface conservation analysis across homologs
Structure-based function prediction:
Threading approaches to identify structural templates
Active site prediction based on conserved residues
Electrostatic surface analysis for potential binding interfaces
These computational predictions should be validated through experimental approaches such as mutagenesis, protein-protein interaction assays, or phenotypic studies.
Shewanella species are known for their ability to reduce metals such as Fe³⁺, contributing to biogeochemical cycling in environments like the Iberian Pyrite Belt . While the direct involvement of Sputw3181_1172 in metal reduction is not established, several experimental approaches could investigate this possibility:
Gene expression analysis:
Compare Sputw3181_1172 expression levels under aerobic vs. anaerobic/metal-reducing conditions
Use RT-qPCR or RNA-seq to quantify transcriptional changes
Monitor protein levels via western blotting with specific antibodies
Localization studies:
Generate fluorescent protein fusions to determine subcellular localization
Use immunogold electron microscopy to visualize the protein's position relative to the cell membrane and metal reduction sites
Knockout/knockdown experiments:
Generate Sputw3181_1172 deletion mutants
Assess metal reduction capacity compared to wild-type
Complement with recombinant protein to confirm phenotype specificity
Protein-protein interaction studies:
Co-immunoprecipitation with known components of the metal reduction machinery (e.g., MtrC, OmcA)
Bacterial two-hybrid assays to identify interaction partners
Crosslinking mass spectrometry to map the interaction network
Shewanella species like S. putrefaciens T2.3D-1.1 can reduce Fe³⁺ and promote Fe²⁺ oxidation in the presence of NO₃⁻ under anaerobic conditions , suggesting a complex electron transfer network that Sputw3181_1172 might participate in.
Shewanella species have been identified as reservoirs of antimicrobial resistance genes, including blaOXA-48 and qnrA, which can potentially transfer to human pathogens like Enterobacteriaceae . To investigate if Sputw3181_1172 plays a role in antimicrobial resistance:
Comparative genomics approach:
Analyze the genetic context of Sputw3181_1172 in relation to mobile genetic elements
Compare presence/absence and sequence variation across resistant and susceptible strains
Examine co-occurrence with known resistance determinants
Gene expression studies:
Expose Shewanella cultures to sub-inhibitory concentrations of antibiotics
Monitor changes in Sputw3181_1172 expression
Correlate expression levels with resistance phenotypes
Membrane permeability assays:
Overexpress or delete Sputw3181_1172 and measure changes in membrane permeability
Assess uptake of fluorescent dyes or antibiotics in modified strains
Determine minimal inhibitory concentrations (MICs) for various antimicrobials
The genomic analysis revealed that 79 out of 144 Shewanella genomes encoded at least one antimicrobial resistance gene, with highest occurrence in clinical-related lineages , suggesting potential roles for membrane proteins like Sputw3181_1172 in adaptation to clinical environments.
CRISPR-Cas systems have been identified in Shewanella species, with I-E and I-F being the most frequent types found in 41 of 144 analyzed genomes . These native systems can be leveraged, or heterologous CRISPR systems can be introduced, to study Sputw3181_1172 function:
Gene knockout strategies:
Design sgRNAs targeting the Sputw3181_1172 coding sequence
Utilize CRISPR-Cas9 or Cas12a systems with non-homologous end joining (NHEJ) or homology-directed repair (HDR)
Screen for complete knockouts using PCR and sequencing
CRISPRi for conditional repression:
Express catalytically inactive dCas9 fused to repressor domains
Target sgRNAs to the promoter region of Sputw3181_1172
Create tunable repression by modulating inducer concentrations
CRISPRa for overexpression studies:
Use dCas9 fused to activation domains to upregulate Sputw3181_1172
Compare phenotypes under varying expression levels
Identify potential threshold effects in function
Base and prime editing:
Introduce specific point mutations without double-strand breaks
Create systematic variants to map structure-function relationships
Engineer protein variants with enhanced or modified functions
Successful CRISPR-based approaches require optimization of transformation protocols for Shewanella species and careful design of sgRNAs to minimize off-target effects.
Membrane proteins present unique challenges for structural determination. For Sputw3181_1172, consider these methodological approaches:
Cryo-electron microscopy (cryo-EM):
Advantages: Requires less protein, maintains native-like environment
Sample preparation: Reconstitute in nanodiscs or amphipols
Data collection: Use direct electron detectors and motion correction
Processing: Employ 2D classification and 3D reconstruction algorithms
X-ray crystallography:
Protein engineering: Create fusion proteins or remove flexible regions
Crystallization: Screen detergents, lipids, and crystallization conditions
Optimize: Use lipidic cubic phase or bicelle crystallization methods
Data collection: Consider microcrystallography at synchrotron facilities
Nuclear magnetic resonance (NMR):
Solution NMR: For smaller membrane proteins or domains
Solid-state NMR: For larger intact membrane proteins
Isotopic labeling: Express with ¹⁵N, ¹³C, and ²H incorporation
Spectral analysis: Assign resonances and calculate distance constraints
Integrative structural biology:
Combine multiple techniques (SAXS, HDX-MS, crosslinking-MS)
Use computational modeling to integrate diverse data types
Validate with mutagenesis and functional assays
The appropriate technique depends on protein yield, stability, size, and available equipment. For Sputw3181_1172, a starting point would be optimizing expression and purification, followed by screening structural techniques based on initial biochemical characterization.
Systems biology offers powerful frameworks to understand how Sputw3181_1172 functions within the complex metabolic network of Shewanella:
Multi-omics integration:
Transcriptomics: RNA-seq to identify co-expressed genes
Proteomics: MS-based quantification of protein abundances and modifications
Metabolomics: Identify metabolic changes associated with Sputw3181_1172 perturbation
Integration: Use computational frameworks to correlate across omics layers
Genome-scale metabolic modeling:
Construct or refine existing Shewanella metabolic models
Incorporate Sputw3181_1172 functions based on experimental evidence
Perform flux balance analysis under different conditions
Validate predictions with experimental measurements
Protein-protein interaction network analysis:
Identify first and second-degree interaction partners
Map to metabolic pathways and cellular processes
Identify network motifs and regulatory patterns
Predict emergent properties from network topology
Comparative systems analysis:
Compare systems-level properties across Shewanella species
Identify conserved modules and species-specific adaptations
Correlate with ecological niches and metabolic capabilities
Shewanella species have evolved diverse metabolic capabilities to thrive in various environments, from deep-sea to clinical settings . Understanding how membrane proteins like Sputw3181_1172 contribute to these adaptations requires integration of molecular details into system-level frameworks.
Analyzing the conservation of Sputw3181_1172 across the Shewanella genus can provide insights into its evolutionary importance and functional constraints:
Sequence conservation analysis:
Perform multiple sequence alignment of homologs
Calculate position-specific conservation scores
Identify highly conserved residues as potential functional sites
Map conservation onto predicted structural models
Phylogenetic distribution:
Construct phylogenetic trees of Sputw3181_1172 homologs
Compare protein trees with species trees to identify horizontal gene transfer events
Correlate presence/absence with ecological niches and metabolic capabilities
Selective pressure analysis:
Calculate dN/dS ratios to identify sites under purifying or positive selection
Perform codon-based tests for selection across lineages
Identify accelerated evolution in specific clades
The comparative genome analysis of 144 Shewanella genomes revealed significant diversity in accessory genes, particularly in clinical-related lineages . Examining where Sputw3181_1172 fits within this diversity landscape can provide context for its evolutionary history and potential functional significance.
Shewanella species possess diverse mobile genetic elements (MGEs) that contribute to their genomic plasticity . To investigate if Sputw3181_1172 has been subject to horizontal gene transfer (HGT):
Genomic context analysis:
Examine flanking regions for MGE signatures (transposases, integrases, etc.)
Identify anomalous GC content or codon usage as indicators of HGT
Look for synteny breaks across closely related genomes
Comparative genomics approach:
Search for homologs across distantly related bacteria
Identify incongruence between gene trees and species phylogeny
Analyze distribution patterns inconsistent with vertical inheritance
Mobile genetic element association:
Check for co-occurrence with known MGEs (plasmids, prophages, ICEs)
Examine correlation with integron presence and content
Assess potential for mobilization based on genomic context
Shewanella species have been shown to acquire various mobile elements, including plasmids, prophages, group II introns, integrons, and integrative and conjugative elements . Understanding whether Sputw3181_1172 has been subject to HGT events can provide insights into its potential role in adaptation to new ecological niches.
Investigating the role of Sputw3181_1172 in environmental adaptation requires multifaceted experimental approaches:
Stress response studies:
Expose wild-type and Sputw3181_1172 mutant strains to various stressors:
Heavy metals (Pb, Cr, Cu, Cd, Co, Ni, Zn)
pH extremes
Temperature fluctuations
Osmotic stress
Measure growth rates, survival, and stress response gene expression
Niche-specific adaptation experiments:
Test growth and metabolic activities under conditions mimicking natural habitats:
Aerobic vs. anaerobic environments
Presence of various electron acceptors (Fe³⁺, NO₃⁻, S₂O₃²⁻)
Nutrient limitation scenarios
Competition assays:
Co-culture wild-type and mutant strains under various conditions
Track population dynamics using strain-specific markers
Determine fitness advantages/disadvantages in different environments
In situ expression analysis:
Design reporter constructs to monitor Sputw3181_1172 expression
Measure activity in simulated environmental conditions
Correlate expression with specific environmental variables
Shewanella putrefaciens T2.3D-1.1 demonstrates tolerance to various heavy metals (7.5 mM Pb, 5 mM Cr and Cu, 1 mM Cd, Co, Ni, and Zn) , indicating adaptation mechanisms that may involve membrane proteins like Sputw3181_1172 in maintaining cellular homeostasis under stress conditions.