The Recombinant Hordeum vulgare Low Molecular Mass Early Light-Inducible Protein HV60, Chloroplastic is a protein derived from barley (Hordeum vulgare), specifically designed for research purposes. This protein is part of the early light-inducible proteins (ELIPs) family, which are known for their role in protecting photosynthetic apparatus under high light conditions . ELIPs are involved in the regulation of light harvesting and photoprotection in plants, particularly during stress conditions such as high light intensity .
Source and Expression: This protein is expressed in Escherichia coli (E. coli) and is tagged with a His-tag for easy purification .
Molecular Mass and Structure: The mature protein spans from amino acids 34 to 167, indicating a relatively small size, which is typical for low molecular mass ELIPs .
Function: ELIPs like HV60 are thought to play a role in stabilizing or modulating the light-harvesting complexes during stress conditions, although their exact mechanism is still under investigation .
Studies on ELIPs in barley have shown that their mRNA and protein levels are influenced by sunlight intensity. These proteins accumulate in response to high light conditions, suggesting a protective role against photodamage .
While specific pathways involving HV60 are not extensively detailed, ELIPs generally interact with components of the photosynthetic apparatus. They may help in the regulation of light energy absorption and distribution within the chloroplast .
Biotechnology: Recombinant proteins like HV60 can be used in biotechnological applications to enhance stress tolerance in crops.
Basic Research: They serve as valuable tools for studying chloroplast function and photoprotection mechanisms.
| Pathway/Function | Description |
|---|---|
| Photoprotection | Regulation of light harvesting under stress conditions |
| Chloroplast Development | Potential role in stabilizing photosynthetic complexes |
Likely involved in the integration of pigments into mature pigment-protein complexes.
Recombinant Hordeum vulgare Low molecular mass early light-inducible protein HV60, chloroplastic is a stress-responsive protein originally isolated from barley (Hordeum vulgare). The recombinant version is typically produced in expression systems such as E. coli for research purposes. It consists of amino acids 34-167 of the mature protein and is commonly fused to an N-terminal His-tag for purification purposes . The protein belongs to the light-harvesting complex (LHC)-like protein family that contains chlorophyll-binding motifs, similar to ELIPs studied in other plant species . The full protein is typically produced as a lyophilized powder with greater than 90% purity as determined by SDS-PAGE analysis .
ELIP proteins play critical roles in protecting photosynthetic machinery from various environmental stresses. Based on comprehensive research with both land plants and algae, ELIPs demonstrate several key functions:
Protection of photosystem II (PSII) from photooxidative damage during high light exposure
Enhancement of cellular survival under cold stress conditions
Modulation of the xanthophyll cycle under severe stress conditions
Regulation of cellular redox state during combined stresses
Research with Chlamydomonas reinhardtii ELIP3 showed that these proteins are particularly important under combined stresses of high light and low temperature . The expression of ELIP genes is typically induced by light stress (including high light, blue light, and UV-A) in a light intensity-dependent manner, often regulated by photoreceptors such as cryptochrome1 (CRY1) . Notably, knockdown mutants of ELIP3 demonstrated much lower photosynthetic efficiency than wild type strains when exposed to low temperatures, while overexpression mutants survived significantly longer under combined high light and cold stress conditions .
ELIP proteins demonstrate specific and complex regulation patterns in response to environmental stresses:
To comprehensively investigate HV60's role in photosynthetic protection, researchers should implement multiple complementary experimental approaches:
Genetic manipulation strategies:
Generate knockdown mutants using RNAi or CRISPR-Cas9 to reduce HV60 expression
Create overexpression lines to enhance HV60 levels
Compare these genetically modified lines with wild-type plants under controlled stress conditions
Develop complementation lines to confirm phenotype specificity
Chlorophyll fluorescence analysis protocols:
Measure quantum yield parameters (ΦPSII, Fv/Fm) to assess photosynthetic efficiency under stress
Construct rapid light curves (RLCs) to evaluate electron transport rates under increasing light intensities
Calculate non-photochemical quenching (NPQ) to quantify photoprotective mechanisms
Standard calculation methods include:
Stress application methodologies:
Cold stress: Incubate cultures at 4°C compared to optimal temperature controls (e.g., 23°C)
High light stress: Expose to light intensities exceeding 500 μmol photons m⁻² s⁻¹
Combined stress protocols: Apply both high light and cold stress simultaneously
Monitor survival rates, photosynthetic parameters, and recovery kinetics over defined time periods
Standard concentration for cell experiments: 5 × 10⁶ cells/ml
Biochemical and molecular analyses:
Perform Western blotting to quantify HV60 protein accumulation under different conditions
Measure reactive oxygen species (ROS) levels using fluorescent probes
Analyze lipid peroxidation as an indicator of membrane damage
Assess xanthophyll cycle pigments using HPLC to correlate with photoprotective capacity
Monitor expression of stress-responsive genes to identify regulatory networks
Cellular response assessments:
Use confocal microscopy with fluorescent protein-tagged HV60 to track subcellular localization
Employ transmission electron microscopy to observe ultrastructural changes in thylakoids
Study movement responses (phototaxis) as indicators of stress perception and cell viability
Compare phototactic responses between wild-type, knockdown, and overexpression lines
Optimization of recombinant HV60 expression and purification requires systematic approach to multiple parameters:
Expression system selection and optimization:
E. coli systems: Most commonly used for HV60 production with well-established protocols
Alternative systems: Yeast, baculovirus, or mammalian cell expression systems for specific applications
Cell-free expression: May offer advantages for difficult-to-express proteins or when rapid production is needed
Vector optimization: Select appropriate promoters, codon optimization, and fusion tags (His-tag is standard for HV60)
Culture condition optimization matrix:
| Parameter | Variables to Test | Considerations |
|---|---|---|
| Temperature | 16°C, 25°C, 30°C, 37°C | Lower temperatures often reduce inclusion body formation |
| Induction timing | OD600: 0.4, 0.6, 0.8, 1.0 | Optimal cell density varies by system |
| Inducer concentration | IPTG: 0.1mM, 0.5mM, 1.0mM | Lower concentrations may improve solubility |
| Media composition | LB, TB, 2xYT, M9 | Rich vs. minimal media affects expression |
| Expression duration | 4h, 8h, 16h, 24h | Longer times may increase yield but risk degradation |
Purification strategy development:
Immobilized metal affinity chromatography (IMAC) for His-tagged HV60
Additional purification steps (ion exchange, size exclusion) to achieve >90% purity
Buffer optimization to maintain protein stability throughout purification
Endotoxin removal steps for sensitive applications (especially important as contamination can affect experimental results)
Quality control and validation protocols:
Storage and handling recommendations:
Analyzing protein-protein interactions of membrane-localized HV60 requires specialized techniques that account for the challenges of working with membrane proteins:
In vivo proximity-based approaches:
Förster Resonance Energy Transfer (FRET):
Create fluorescent protein fusions (e.g., HV60-CFP paired with potential partner-YFP)
Measure energy transfer as indicator of molecular proximity (typically <10nm)
Quantify interaction strength through FRET efficiency calculations
Bimolecular Fluorescence Complementation (BiFC):
Split fluorescent protein fragments fused to potential interaction partners
Fluorescence occurs only when proteins interact, bringing fragments together
Provides direct visualization of interaction sites within the cell
Proximity Ligation Assay (PLA):
Detect endogenous protein interactions without overexpression artifacts
Provides spatial information about interaction location within chloroplasts
Higher sensitivity than conventional co-localization studies
Co-immunoprecipitation strategies for membrane proteins:
Detergent optimization matrix:
| Detergent Type | Concentration Range | Membrane Protein Applications |
|---|---|---|
| Digitonin | 0.5-1.0% | Preserves supercomplexes and weak interactions |
| n-Dodecyl β-D-maltoside | 0.5-2.0% | Good for thylakoid membrane proteins |
| Triton X-100 | 0.1-1.0% | Effective but may disrupt some interactions |
| CHAPS | 0.3-1.0% | Milder detergent for sensitive complexes |
Cross-linking assisted co-IP:
Apply membrane-permeable cross-linkers before extraction
Stabilize transient interactions that might be lost during purification
Reverse cross-linking for SDS-PAGE analysis
Mass spectrometry-based interaction profiling:
Affinity purification-mass spectrometry (AP-MS):
Purify HV60 complexes under native conditions with optimized detergents
Identify interacting proteins by tandem mass spectrometry
Implement appropriate controls to distinguish specific from non-specific interactions
Chemical cross-linking coupled with MS (XL-MS):
Cross-link proteins in their native thylakoid environment
Identify cross-linked peptides to map interaction interfaces at residue resolution
Provide distance constraints for structural modeling
Membrane-specific yeast two-hybrid systems:
Split-ubiquitin membrane yeast two-hybrid:
Specifically designed for membrane protein interactions
Reconstitution of ubiquitin triggers reporter gene expression
Screen libraries of potential interaction partners
Membrane protein complementation assays:
Use reporter fragments that function only when brought together by interaction
Can be performed in yeast or bacterial systems
Allows high-throughput screening approaches
Advanced microscopy techniques:
Super-resolution microscopy:
Overcome diffraction limit to visualize nanoscale protein clusters
Track dynamic interactions in living chloroplasts
Correlate with functional photosynthetic measurements
Single-molecule tracking:
Follow individual HV60 molecules within thylakoid membranes
Analyze diffusion patterns and interaction kinetics
Identify stable vs. transient interaction events
To comprehensively assess HV60's photoprotective efficiency in living systems, researchers should implement a multi-parameter experimental approach:
Chlorophyll fluorescence parameter analysis:
Measure PSII maximum quantum yield (Fv/Fm) as the primary indicator of PSII health and functionality
Monitor effective quantum yield (ΦPSII) under illumination to assess operational efficiency
Track non-photochemical quenching (NPQ) capacity to quantify energy dissipation mechanisms
Calculate relative electron transport rates (rETR) to evaluate photosynthetic performance
Rapid Light Curve (RLC) protocol:
Stress recovery experimental design:
Subject plant material to standardized stress protocols:
Moderate stress: 4°C + 200 μmol photons m⁻² s⁻¹ for 2 hours
Severe stress: 4°C + 800 μmol photons m⁻² s⁻¹ for 2 hours
After stress removal, monitor recovery kinetics:
Fv/Fm recovery rate (% recovery per hour)
Time to 50% recovery (RT50)
Complete recovery time
Compare recovery parameters between wild-type, HV60 knockdown, and overexpression lines
ROS quantification methodology:
Comparative survival analysis protocol:
Expose cells/plants to defined lethal stress combinations
Quantify survival using:
Cell viability staining techniques
Regrowth capacity after stress
Chlorophyll content retention
Construct survival curves for statistical comparison between genotypes
Phototaxis assessment methodology:
Design light gradient apparatus for quantitative phototaxis measurements
Compare phototactic responses between genetic lines:
Correlate phototactic behavior with photosynthetic efficiency and stress tolerance
The molecular mechanisms underlying HV60-mediated protection of thylakoid membranes during cold stress involve multiple pathways that can be investigated through targeted experimental approaches:
Membrane fluidity regulation hypothesis:
HV60 may help maintain appropriate membrane fluidity at low temperatures, preventing phase transitions that disrupt photosynthetic protein complexes. This mechanism can be investigated through:
Fluorescence anisotropy measurements with membrane probes under cold stress
Differential scanning calorimetry (DSC) to measure membrane phase transition temperatures
Lipidomic analysis to detect changes in membrane lipid composition associated with HV60 expression
Comparison of membrane physical properties between wild-type and HV60-modified plants
Protein-pigment interaction model:
HV60 likely binds chlorophyll and carotenoid molecules to prevent formation of free radicals during photosynthetic imbalance caused by cold stress. This function can be studied through:
Spectroscopic analysis of pigment binding properties with purified HV60
Reconstitution experiments with isolated pigments and recombinant HV60
Site-directed mutagenesis of conserved pigment-binding residues followed by functional assays
Correlation with studies of Arabidopsis ELIPs showing association with PSII antenna complexes
ROS management mechanisms:
HV60 may directly or indirectly reduce ROS accumulation during cold stress, as suggested by experiments with the ROS quencher TEMPOL . This can be explored through:
Comparative ROS measurements in wild-type vs. HV60-modified plants during cold stress
Analysis of antioxidant enzyme activities in relation to HV60 expression
In vitro assessment of direct ROS scavenging capacity of purified HV60
Time-course studies correlating HV60 expression with ROS accumulation patterns
Xanthophyll cycle enhancement:
HV60 may promote efficient operation of the xanthophyll cycle, which dissipates excess excitation energy as heat. This hypothesis aligns with studies suggesting Arabidopsis ELIPs modulate the xanthophyll cycle , and can be tested through:
HPLC analysis of xanthophyll cycle pigment interconversion during cold stress
Measurement of de-epoxidation state (DEPS) in relation to HV60 levels
Correlation of NPQ capacity with HV60 expression during stress recovery
Combined analysis of HV60 and xanthophyll cycle enzyme expression patterns
Photosystem stability mechanism:
HV60 may physically associate with photosystem components to stabilize their structure during cold-induced membrane alterations. This can be investigated through:
Co-immunoprecipitation studies with photosystem components under cold stress
FRET analysis between fluorescently labeled HV60 and photosystem proteins
Electron microscopy of thylakoid membrane ultrastructure in HV60-modified plants
Assessment of photosystem integrity through blue-native PAGE analysis
Integration with phototaxis response pathways:
The observed differences in phototaxis between HV60 knockdown (negative phototaxis) and overexpression (positive phototaxis) mutants suggest integration with cellular signaling networks that can be explored through:
Analysis of photoreceptor activity in HV60-modified lines
Investigation of calcium signaling pathways during cold and light stress
Transcriptomic analysis of signaling components affected by HV60 levels
Correlation between phototactic responses and photosynthetic efficiency
Resolving contradictory findings regarding HV60 function requires rigorous experimental design and careful consideration of multiple factors:
Standardization of experimental conditions:
Implement a comprehensive standard operating procedure specifying:
Plant material genetic background and growth stage
Growth conditions (light intensity, temperature, photoperiod, media composition)
Stress application protocols (intensity, duration, rate of change)
Sampling procedures and time points
Measurement techniques and instrumentation settings
Document all environmental parameters meticulously to enable true replication
Consider circadian and developmental effects on HV60 expression and function
Multiple complementary methodological approaches:
Apply diverse techniques to investigate the same biological question:
Genetic approaches (knockout, knockdown, overexpression)
Biochemical assays (protein interaction, activity)
Physiological measurements (photosynthesis parameters, stress tolerance)
Imaging and localization studies
Look for convergence of evidence across multiple methodologies
Identify specific conditions where contradictions emerge for targeted investigation
Genetic background considerations:
Test HV60 function across diverse genetic contexts:
Different barley cultivars/ecotypes
Near-isogenic lines differing only in HV60 alleles
Heterologous expression in model systems (Arabidopsis, Chlamydomonas)
Create isogenic lines differing only in HV60 expression level
Analyze potential genetic interactions with other stress-responsive systems
Rigorous protein quality control:
Implement stringent purification protocols for recombinant HV60:
Include critical controls in all experiments:
Heat-denatured protein controls
Mock purifications from non-expressing cells
Dose-response relationships to identify potential artifacts
Consider the cautionary example from heat shock protein research:
Comprehensive stress response characterization:
Test HV60 function across a matrix of environmental conditions:
| Temperature | Light Intensity | Duration | Additional Factors |
|---|---|---|---|
| 23°C (control) | 50 μmol m⁻² s⁻¹ | 1-24h | None |
| 4°C (cold) | 50 μmol m⁻² s⁻¹ | 1-24h | None |
| 23°C | 800 μmol m⁻² s⁻¹ (high) | 1-24h | None |
| 4°C | 800 μmol m⁻² s⁻¹ | 1-24h | None |
| 4°C | 800 μmol m⁻² s⁻¹ | 1-24h | + ROS scavenger |
| 4°C | 800 μmol m⁻² s⁻¹ | 1-24h | + CO₂ enrichment |
Identify specific conditions where HV60 function is most pronounced
Distinguish between protective effects under different stress combinations
Data sharing and collaborative validation:
Establish multi-laboratory validation protocols
Share detailed methodologies, not just summarized results
Create repositories for raw data and experimental protocols
Implement pre-registration of experimental designs to reduce publication bias
Form collaborative networks to systematically address contradictory findings