Oryza sativa subsp. japonica, commonly known as Japonica rice, is one of the two major domestic types of Asian rice . Recombinant Expansin-A27 (EXPA27) is a protein derived from this subspecies of rice and is related to cell wall loosening and expansion . Expansins are a family of proteins known to induce cell wall extension .
EXPA27 belongs to the expansin family, which plays a crucial role in plant cell growth and development. Cusabio offers custom EXPA27 antibodies that react with Oryza sativa subsp. japonica .
The Oryza sativa genome contains approximately 32,000 to 50,000 genes . The function was identified or inferred in 19,969 (70%) of the proteins . The loci of rice were determined using cDNA sequences from rice and other cereals .
Expansins such as EXPA27 are involved in cell wall loosening, which is essential for plant cell expansion during growth and development.
OsPAO1 expression appears to be quite low under physiological conditions, but is markedly induced in rice roots by spermine (Spm) or T-Spm treatment .
OsPAO1 localizes to the cytoplasm of onion epidermal cells .
Genome Annotation: A study on the annotation of the complete genome of rice (Oryza sativa L. ssp. japonica cultivar Nipponbare) manually curated functional annotations for proteins and non-protein-coding RNA candidates .
Polyamine Oxidase: Oryza sativa polyamine oxidase 1 back-converts spermine (or thermospermine) to spermidine .
KEGG: osa:107276948
STRING: 39947.LOC_Os10g30330.1
Expansins in rice, including EXPA27, typically contain several characteristic structural elements that are highly conserved across the expansin family. Alpha-expansins are characterized by a series of conserved cysteine residues in the N-terminal half of the protein, a histidine-phenylalanine-aspartate (HFD) motif in the central region, and a series of tryptophan residues near the carboxyl terminus . Bioinformatic analyses of rice expansins have revealed that they typically have a molecular weight of approximately 28 kDa with basic isoelectric points (around pI 9.40) and significant levels of alanine and glycine .
The protein structure consists of two domains: an N-terminal domain with some homology to glycoside hydrolase family 45 proteins (though lacking hydrolytic activity) and a C-terminal domain that resembles a grass pollen allergen. These domains work together to facilitate cell wall loosening without enzymatic breakdown of the major structural polysaccharides.
While specific expression data for EXPA27 is limited in the provided literature, research on rice expansins shows tissue-specific and developmental expression patterns. Research on related expansins indicates expression in multiple tissues with varying levels of abundance. For example, OsEXPA7 is highly expressed in the shoot apical meristem, roots, and leaf sheaths, with particularly strong expression in vascular tissues .
Many rice expansins show expression patterns correlated with actively growing tissues. In deepwater rice, various alpha-expansin genes are expressed in internodes and leaves (5 genes), coleoptiles (3 genes), and roots (9 genes), with high transcript levels specifically in the growing regions of these organs . Five alpha-expansin genes were found exclusively in roots . This suggests that different expansins, including potentially EXPA27, may have specialized roles in specific tissues and developmental processes.
Expansins play crucial roles in various aspects of plant growth and development through their ability to facilitate cell wall loosening. They mediate cell expansion during growth, which is particularly important in rapidly elongating tissues. In deepwater rice, expansins are associated with long-term extension of isolated cell walls and contribute to growth regulation .
Specific functions include:
Cell wall loosening and cell elongation
Regulation of root development and architecture
Involvement in shoot elongation and leaf expansion
Mediation of coleoptile growth during early seedling development
Contribution to vascular tissue development
Additionally, certain expansins like OsEXPA7 are involved in stress responses, particularly salt stress tolerance, by coordinating sodium transport, reactive oxygen species (ROS) scavenging, and cell-wall loosening .
While specific data on EXPA27 overexpression is not provided in the search results, research on related expansins offers valuable insights. Overexpression of OsEXPA7, for example, results in significant morphological changes including increased biomass in both shoots and roots, longer shoot and root lengths, and higher primary root numbers compared to wild-type plants .
Under salt stress conditions, OsEXPA7-overexpressing lines demonstrate remarkable stress tolerance benefits:
Lower leaf damage
Decreased electrical conductivity (indicating reduced cell damage)
Higher chlorophyll content retention
Improved survival rates under 150 mM salt stress
Altered ion homeostasis with decreased Na+ and accumulated K+ in leaves and roots
Enhanced antioxidant activity with lower reactive oxygen species (ROS) accumulation
These findings suggest that strategic overexpression of expansins like EXPA27 might similarly enhance stress tolerance through modification of cell wall properties, alterations in root and shoot architecture, and changes in stress response pathways.
The molecular mechanisms through which expansins confer salt stress tolerance involve multiple integrated pathways. Research on OsEXPA7 reveals several key mechanisms that may be relevant to understanding EXPA27 function:
Ion homeostasis regulation: Expansin overexpression appears to modulate Na+ and K+ distribution, with decreased sodium and increased potassium levels in both leaves and roots, which is critical for salt tolerance .
Enhanced antioxidant activity: Under salt stress, expansin-overexpressing lines show lower reactive oxygen species (ROS) accumulation and increased antioxidant activity compared to wild-type plants .
Transcriptional reprogramming: Differential gene expression analysis reveals that expansin overexpression affects genes involved in:
Sodium transporter upregulation: Notably, salt overly sensitive 1 (SOS1), a sodium transporter, was highly upregulated in expansin-overexpressing lines, suggesting direct involvement in sodium exclusion mechanisms .
Vascular tissue modification: Structural alterations in root and leaf vasculature observed in expansin-overexpressing lines suggest that changes in transport efficiency may contribute to improved stress tolerance .
Expansin expression and function appear to be integrated with phytohormone signaling networks, particularly in stress response contexts. Research indicates that some expansin genes in rice are responsive to gibberellin (GA) treatment, with five alpha-expansin genes showing induced expression in the internode following GA application . This hormone-responsive expression suggests that expansins may function as downstream effectors in hormone-mediated growth regulation and stress adaptation.
The relationship extends beyond gibberellin, as transcriptional analysis of OsEXPA7-overexpressing lines revealed differential expression of genes involved in auxin signaling . This indicates a potential interaction between expansin function and auxin-mediated processes, which are critical for root development and architecture—key factors in stress adaptation.
Additionally, the induction of some expansin genes by wounding suggests potential crosstalk with jasmonate signaling pathways . These interconnections between expansin expression and various hormone signaling networks provide potential targets for engineering stress-adaptive responses through manipulation of expansin gene expression.
For successful heterologous expression and purification of recombinant rice expansins such as EXPA27, researchers should consider the following methodological approach:
Expression system selection: Due to the plant origin and potential glycosylation requirements, Pichia pastoris or insect cell expression systems often yield better results than bacterial systems. For bacterial expression, consider specialized E. coli strains optimized for eukaryotic proteins with disulfide bonds (e.g., Origami, SHuffle).
Construct design considerations:
Include the mature protein sequence without the native signal peptide
Add appropriate affinity tags (His6 or GST) for purification
Consider codon optimization for the expression host
Engineer cleavable tags if native protein is required for activity assays
Expression optimization:
Test multiple induction conditions (temperature, inducer concentration, duration)
Screen for soluble protein expression rather than inclusion bodies
Consider fusion partners that enhance solubility (SUMO, MBP, TRX)
Purification strategy:
Implement a two-step purification approach using affinity chromatography followed by size exclusion
Include reducing agents to maintain proper disulfide bond formation
Use buffers that mimic plant cell wall pH environment (slightly acidic)
Consider detergent addition during purification to maintain stability
Functional validation:
Conduct cell wall extension assays using heat-inactivated cell walls
Perform binding assays with cellulose and other cell wall components
Verify protein folding using circular dichroism spectroscopy
An effective experimental design for analyzing EXPA27 involvement in abiotic stress responses should incorporate multiple approaches:
Genetic manipulation strategies:
Generate overexpression lines using constitutive (e.g., CaMV 35S) and tissue-specific promoters
Create knockout/knockdown lines using CRISPR-Cas9 or RNAi
Develop promoter-reporter fusions (GUS, GFP) to monitor expression patterns under stress
Stress treatment design:
Apply multiple stress intensities (e.g., 100, 150, 200 mM NaCl for salt stress)
Implement both short-term (hours to days) and long-term (weeks) stress treatments
Consider combinatorial stresses (e.g., salt + drought) to mimic field conditions
Include recovery periods to assess resilience
Comprehensive phenotyping:
Monitor growth parameters (shoot/root length, biomass, root architecture)
Measure physiological indicators (chlorophyll content, photosynthetic efficiency)
Assess cell damage markers (electrolyte leakage, ROS accumulation)
Analyze ion content (Na+, K+) in different tissues
Molecular analyses:
Perform transcriptomic analysis (RNA-seq) comparing wild-type and modified lines
Conduct targeted expression analysis of stress-responsive genes
Analyze protein-protein interactions to identify partners
Examine changes in cell wall composition and architecture
Integrative data analysis:
Correlate expression data with phenotypic outcomes
Compare results across different developmental stages
Validate key findings using multiple independent transgenic lines
This multi-faceted approach would allow comprehensive characterization of EXPA27's role in stress responses, similar to studies conducted with OsEXPA7 that revealed its involvement in salt stress tolerance .
Analyzing the cell wall-modifying activities of expansins requires specialized techniques that address both in vitro biochemical activities and in planta effects:
In vitro analysis methods:
Cell wall extension assays:
Prepare cell wall specimens from growing tissues (e.g., rice coleoptiles)
Measure extension using a constant-load extensometer
Compare extension rates with and without purified EXPA27
Test pH-dependency (typically active at acidic pH 4.5-6.0)
Binding assays:
Assess binding to cellulose, hemicellulose, and pectin components
Use isothermal titration calorimetry to determine binding parameters
Conduct competitive binding assays with other expansins
Analyze binding using recombinant protein domains separately
Polymer mechanics analysis:
Measure changes in cell wall creep and stress relaxation
Use atomic force microscopy to detect nanoscale changes in wall properties
Analyze effects on wall polymer interactions using solid-state NMR
In planta analysis methods:
Cell wall architecture assessment:
Prepare transverse and longitudinal sections of tissues from wild-type and transgenic plants
Analyze cell size, shape, and wall thickness using microscopy
Perform immunolabeling to detect changes in wall polymer distribution
Use electron microscopy to examine ultrastructural changes
Growth kinematics:
Track growth patterns using time-lapse imaging
Measure cell expansion rates in specific tissues
Correlate expansion with EXPA27 expression using reporter lines
Wall composition analysis:
Fractionate cell wall components (cellulose, hemicellulose, pectin)
Determine sugar composition by gas chromatography
Assess changes in wall polymer molecular weight distribution
Measure alterations in cross-linking between wall components
Mechanical properties testing:
Analyze tissue extensibility using mechanical stretching devices
Measure wall elasticity and plasticity
Determine breaking strength and other mechanical parameters
Compare properties across different tissues and developmental stages
Research on OsEXPA7 has demonstrated that morphological analysis can reveal structural alterations in root and leaf vasculature in overexpressing lines, indicating meaningful changes in cell wall properties that correlate with stress tolerance .
Several cutting-edge technologies hold promise for advancing our understanding of expansin function in rice:
Single-cell transcriptomics and proteomics:
Map expansin expression at unprecedented resolution
Identify cell-specific responses to expansin activity
Reveal tissue-specific co-expression networks
CRISPR-based approaches:
Implement multiplexed editing to target multiple expansin family members simultaneously
Use base editing for precise modification of key amino acids
Apply CRISPRa/CRISPRi for temporal control of expansin expression
Create conditional alleles to study essentiality
Advanced imaging techniques:
Utilize super-resolution microscopy to visualize expansin localization in cell walls
Apply expansion microscopy to reveal nanoscale distribution patterns
Implement live-cell imaging with fluorescently tagged expansins
Use correlative light and electron microscopy to connect structure and function
Computational approaches:
Implement molecular dynamics simulations of expansin-wall interactions
Apply machine learning to predict expansin targets and functions
Develop models of cell wall mechanics incorporating expansin activity
Systems biology integration:
Create comprehensive models connecting expansin activity to growth phenotypes
Map expansin interactions across the stress response network
Integrate multi-omics data to reveal emergent properties
These technologies would help address key questions about the specific functions of EXPA27 and other expansins in rice development and stress responses.
Comparative studies across rice varieties offer significant potential for understanding expansin evolution and functional diversity:
Evolutionary analysis benefits:
Identify conserved versus rapidly evolving expansin family members
Detect signatures of selection during domestication
Trace expansin family expansion and subfunctionalization
Recognize lineage-specific adaptations in stress-responsive expansins
Methodological approach:
Sequence expansin gene families across diverse rice varieties
Compare expression patterns in matching tissues and developmental stages
Analyze promoter regions to identify cis-regulatory evolution
Examine protein sequence variations in functional domains
Test activity of orthologous expansins from different varieties
Functional implications:
Connect sequence variations to differences in stress tolerance
Identify superior alleles for breeding applications
Understand the genetic basis for growth differences between varieties
Map expansin contribution to adaptive traits in different environments
Research has already demonstrated variety-specific differences in expansin function, as seen in the study of boron toxicity tolerance where different rice cultivars (IR36, Nekken 1, Wataribune, Nipponbare) showed varying responses due to allelic differences in related pathways . Similarly, expression analysis revealed that expansin gene expression levels differed between sensitive cultivars (Wataribune, IR36, Kasalath) and tolerant cultivars (Koshihikari, Nipponbare) .
Modification of expansins like EXPA27 presents multiple avenues for improving rice resilience to combined abiotic stresses:
Potential applications:
Develop varieties with enhanced tolerance to multiple concurrent stresses
Improve recovery capacity after stress events
Engineer modified root architecture for drought and salinity tolerance
Enhance seedling establishment under adverse conditions
Optimize biomass production in marginal environments
Strategic approaches:
Target tissue-specific expression using stress-inducible or tissue-specific promoters
Stack multiple beneficial expansin modifications
Combine expansin engineering with complementary stress tolerance mechanisms
Fine-tune expression levels to balance growth and stress adaptation
Specific stress combinations addressable:
Drought + heat stress
Salinity + flooding
Nutrient deficiency + drought
Cold + high light intensity
Research on OsEXPA7 has already demonstrated that overexpression can enhance tolerance to salt stress through multiple mechanisms, including improved ion homeostasis, enhanced antioxidant activity, and structural modifications . These findings suggest that strategic modification of EXPA27 and other expansins could similarly contribute to improved stress resilience, particularly when engineered to address multiple concurrent stresses that are increasingly common with climate change.
Successful gene editing of EXPA27 requires careful experimental design addressing several key considerations:
Target site selection criteria:
Prioritize coding regions with essential functions (e.g., the conserved HFD motif)
Avoid regions with high similarity to other expansin family members
Consider targeting regulatory regions for expression modulation
Verify target uniqueness using whole-genome alignments
Check for potential off-target sites with similar sequences
Guide RNA design parameters:
Optimize GC content (40-60%) for stable guideRNA-DNA interactions
Evaluate on-target efficiency scores using prediction algorithms
Avoid seed region polymorphisms between rice varieties
Check secondary structure formation potential
Design multiple guides targeting the same region
Delivery method selection:
Callus-based Agrobacterium-mediated transformation
Protoplast transfection for initial validation
Biolistic delivery for recalcitrant varieties
Consider ribonucleoprotein (RNP) delivery to minimize off-targets
Validation strategy:
Implement targeted sequencing of the edited region
Perform whole-genome sequencing to detect off-target mutations
Conduct phenotypic analysis of multiple independent lines
Verify altered expression or protein function
Special considerations for rice:
Account for rice variety-specific transformation efficiency
Consider regeneration ability of the selected variety
Plan for homozygosity screening in subsequent generations
Design strategies for distinguishing edited plants from wild-type
The research on boron tolerance genes demonstrates how targeted genetic modifications can significantly alter stress responses in rice, providing a model for EXPA27 modification strategies .
Addressing functional redundancy within the large expansin gene family requires systematic approaches:
Comprehensive family analysis:
Catalog all expansin genes and their expression patterns
Identify co-expressed family members
Group expansins by sequence similarity and putative function
Map spatial and temporal expression domains
Multiplex gene editing strategies:
Design CRISPR systems targeting conserved regions in multiple family members
Create higher-order mutants by crossing single mutants
Implement inducible CRISPR systems for temporal control
Target shared regulatory elements affecting multiple expansins
Dominant-negative approach:
Express modified expansins that interfere with native protein function
Design proteins that compete for binding sites but lack activity
Target conserved protein-protein interaction domains
Tissue-specific approach:
Focus on tissues with limited expansin expression
Target expansins with unique expression patterns
Use tissue-specific promoters for rescue experiments
Quantitative phenotyping:
Implement high-resolution growth analysis to detect subtle phenotypes
Measure cell-level responses rather than whole-plant effects
Apply stress conditions that may reveal conditional redundancy
Develop sensitive assays for cell wall properties