Recombinant Oryza sativa subsp. japonica Barley B recombinant-like protein C (Os10g0115500, LOC_Os10g02620), also known as barley B recombinant-like protein C, is a protein found in rice (Oryza sativa subsp. japonica) . This protein is a transcriptional regulator that binds to GA-rich elements (GAGA-repeats) in the regulatory sequences of genes involved in developmental processes .
Os10g0115500, LOC_Os10g02620 functions as a transcriptional regulator. It specifically binds to GA-rich elements (GAGA-repeats), which are present in the regulatory sequences of genes that participate in developmental processes in Oryza sativa subsp. japonica .
The protein belongs to the Barley B recombinant-like protein family . Proteins in the BTB/POZ family, to which Os10g0115500 belongs, are widespread in plants and play roles in development, growth, metabolism, and environmental responses .
Os10g0115500 is similar to Barley B recombinant-like protein B .
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This transcriptional regulator specifically binds to GA-rich elements (GAGA repeats) found in the regulatory sequences of genes involved in developmental processes.
Os10g0115500 (LOC_Os10g02620) encodes the Barley B recombinant-like protein C (BBR), a transcription factor in Oryza sativa subspecies japonica. The protein contains a DNA binding domain known as the BBR domain spanning positions 54-343 . It belongs to the GAGA_bind (PF06217) Pfam family with InterPro identification number IPR010409 .
The protein sequence of the BBR domain is characterized by several histidine-rich regions and DNA-binding motifs that enable it to recognize specific DNA sequences, particularly GA-rich octadinucleotide repeats . This binding activity allows BBR to participate in transcriptional regulation of homeobox genes and influence leaf development in rice .
Os10g0115500 has high sequence conservation across multiple rice species and other cereals, suggesting important evolutionary conservation. The similarity scores between this protein and its homologs reveal its evolutionary relationships:
| Species | Gene ID | Similarity Score |
|---|---|---|
| Oryza rufipogon | ORUFI10G00650 | 0.997 |
| Oryza meridionalis | OMERI10G00680 | 0.976 |
| Oryza glumaepatula | OGLUM10G00640 | 0.958 |
| Oryza meridionalis | OMERI10G00690 | 0.894 |
| Triticum aestivum | Traes_4BL_011308A76 | 0.879 |
| Zea mays | GRMZM2G166230 | 0.952 |
| Sorghum bicolor | Sb02g009750 | 0.952 |
This high level of conservation across grass species suggests that BBR proteins evolved in the common ancestor of Poaceae and have maintained their functional importance throughout evolution . The conservation pattern indicates strong selective pressure, implying that BBR controls fundamental aspects of grass development. This conservation makes BBR an excellent candidate for studying the evolution of transcriptional regulation in plants.
To characterize BBR's DNA-binding specificity, implement a multi-tiered experimental approach:
In vitro binding assays:
Express recombinant BBR protein using E. coli expression systems (BL21(DE3) strain recommended)
Purify using His-tag affinity chromatography (Ni-NTA or Co-NTA resins)
Perform Electrophoretic Mobility Shift Assays (EMSA) with labeled DNA fragments containing GA octadinucleotide repeats
Use DNase I footprinting to identify protected nucleotides
Chromatin Immunoprecipitation (ChIP):
Generate antibodies against BBR or use epitope-tagged BBR expressed in rice
Cross-link protein-DNA complexes in vivo
Fragment chromatin and immunoprecipitate BBR-bound fragments
Sequence precipitated DNA (ChIP-seq) to identify genome-wide binding sites
Systematic Evolution of Ligands by Exponential Enrichment (SELEX):
Incubate purified BBR with random DNA oligonucleotides
Isolate bound sequences and amplify through PCR
Repeat multiple times to enrich for high-affinity binding sequences
Sequence the enriched pool to derive consensus binding motifs
Remember that experimental conditions may need optimization. For instance, buffer composition, salt concentration, and pH can significantly affect binding specificity. Include appropriate positive and negative controls, and validate findings through multiple independent techniques.
When designing genetic modification experiments to study BBR function, consider these critical factors:
Choice of genetic modification approach:
CRISPR/Cas9 knockout: Design guide RNAs targeting early exonic regions of Os10g0115500
RNAi knockdown: Design hairpin constructs targeting unique regions of BBR mRNA
TALEN approach: Design nucleases targeting specific sequences in the BBR gene
Transformation strategy:
Use Agrobacterium-mediated transformation for stable integration
Include appropriate selection markers (hygromycin, kanamycin) in transformation vectors
Design PCR primers for genotyping to identify successfully edited plants
Experimental controls:
Include wild-type plants grown under identical conditions
Use plants transformed with non-targeting constructs as additional controls
Consider creating multiple independent transgenic lines to control for position effects
Phenotypic analysis approach:
Focus primarily on leaf morphology and development (based on BBR's known function)
Perform comprehensive phenotyping across different developmental stages
Document changes in plant architecture, flowering time, and reproductive success
Use quantitative measurements (leaf dimensions, angles, curvature) rather than qualitative assessments
Molecular confirmation:
Verify knockout/knockdown through RT-qPCR to confirm reduced transcript levels
Perform Western blotting to confirm protein reduction/absence
Include complementation studies by reintroducing wild-type BBR to confirm phenotype rescue
This comprehensive experimental design will help establish causality between BBR function and observed phenotypes while minimizing confounding variables and experimental artifacts.
A robust approach to analyze transcriptional changes in BBR-deficient plants:
Sample collection and preparation:
Collect tissues at relevant developmental stages, focusing on actively growing leaf tissue
Use at least 3-4 biological replicates per genotype
Extract high-quality RNA (RIN > 8) using standard methods
Prepare RNA-seq libraries with polyA selection or rRNA depletion
Sequencing considerations:
Aim for 20-30 million paired-end reads per sample
Use appropriate sequencing depth based on rice transcriptome complexity
Include spike-in controls for normalization
Data analysis pipeline:
Quality control: Use FastQC to assess read quality
Read processing: Trim adapters and low-quality bases using Trimmomatic
Alignment: Map to the rice reference genome using HISAT2 or STAR
Quantification: Count reads per gene using featureCounts or HTSeq
Differential expression: Use DESeq2 or edgeR with FDR < 0.05
Statistical approach:
Implement a negative binomial model for count data
Control for batch effects using ComBat or RUVSeq if necessary
Apply multiple testing correction (Benjamini-Hochberg procedure)
Consider both statistical significance and fold change magnitude
Functional interpretation:
Perform Gene Ontology enrichment analysis on differentially expressed genes
Identify enriched biological pathways using KEGG or Plant Reactome
Compare with known BBR targets or genes involved in leaf development
Visualize results using volcano plots, heatmaps, and pathway diagrams
Validation:
Select 8-10 differentially expressed genes for validation via RT-qPCR
Include genes with varying expression levels and fold changes
Use stable reference genes for normalization (e.g., UBQ, Actin)
This approach will provide a comprehensive view of transcriptional changes resulting from BBR deficiency and help identify direct and indirect targets of this transcription factor.
BBR influences leaf morphology through its role as a transcription factor regulating homeobox genes involved in leaf development . To fully characterize this function, implement the following integrated approach:
Morphological analysis:
Compare leaf dimensions (length, width, area) between wild-type and BBR-deficient plants
Analyze leaf curvature, venation patterns, and cell arrangement using microscopy
Examine leaf developmental stages to identify when BBR function is most critical
Quantify changes in leaf shape using computational morphometrics
Molecular characterization:
Identify BBR-regulated homeobox genes through ChIP-seq and RNA-seq
Validate direct regulation through reporter assays and EMSA
Perform epistasis experiments with known leaf development genes
Analyze the expression patterns of BBR during leaf development stages
Cellular analysis:
Compare cell size, number, and arrangement in BBR-deficient versus wild-type leaves
Analyze patterns of cell division and expansion during leaf development
Investigate potential roles in adaxial-abaxial polarity establishment
Determine if BBR affects symmetry or asymmetry in leaf development
Hormonal interactions:
Examine BBR's relationship with plant hormones involved in leaf development (auxin, cytokinin)
Test BBR-deficient plants' responses to exogenous hormone treatments
Analyze expression of hormone biosynthesis and signaling genes in BBR mutants
This multi-faceted approach will provide mechanistic insights into how BBR regulates leaf development at molecular, cellular, and organismal levels.
To construct a comprehensive BBR-centered regulatory network, integrate multiple data types using this systematic approach:
Data generation:
Perform ChIP-seq to identify direct BBR binding sites genome-wide
Conduct RNA-seq comparing wild-type and BBR-deficient plants
Generate time-course data to capture primary vs. secondary effects
Include ATAC-seq to identify changes in chromatin accessibility
Integrative analysis:
Assign ChIP-seq peaks to potential target genes (typically within 2kb of TSS)
Intersect differentially expressed genes with genes having BBR binding sites
Categorize direct targets as activated (downregulated in knockout) or repressed (upregulated)
Use gene regulatory network inference algorithms (GENIE3, ARACNE) to identify co-regulated genes
Network validation:
Validate key regulatory connections through reporter assays
Perform ChIP-qPCR to confirm binding at selected loci
Use transient expression systems to verify functional relationships
Implement CRISPR interference at selected binding sites to test functionality
Network visualization and analysis:
Use Cytoscape for network visualization with BBR as central hub
Identify network motifs (feed-forward loops, feedback loops)
Apply modularity analysis to identify functional modules
Compare with known developmental regulatory networks in plants
Integration with existing knowledge:
Incorporate known interactions from literature
Add protein-protein interaction data if available
Compare with regulatory networks of related transcription factors
Annotate with Gene Ontology terms to identify biological processes
This approach will yield a comprehensive view of BBR's regulatory role and place it within the broader context of transcriptional networks governing rice development.
Multiple expression systems can be used for BBR protein production, each with advantages for specific applications:
E. coli expression system:
Advantages: High yield, simple protocols, cost-effective
Optimal for: Initial biochemical characterization, DNA binding studies
Expression optimization: Use 0.1-0.5 mM IPTG, induce at 18-25°C for improved solubility
Typical yield: 5-10 mg/L culture
Yeast expression system:
Advantages: Better protein folding, moderate post-translational modifications
Optimal for: When E. coli expression yields insoluble protein
Expression strategy: Strong inducible promoters (AOX1, GAL1)
Typical yield: 1-5 mg/L culture
Insect cell expression system:
Advantages: Complex eukaryotic processing, good for proteins requiring chaperones
Optimal for: Structural studies requiring properly folded protein
Expression vector: Baculovirus with polyhedrin or p10 promoter
Typical yield: 1-10 mg/L culture
Mammalian cell expression system:
Advantages: Most sophisticated post-translational modifications
Optimal for: Functional studies requiring authentic modifications
Expression strategy: Transient or stable expression with CMV promoter
Typical yield: 0.1-1 mg/L culture
Fusion tag recommendations:
For solubility: MBP or GST tags
For purification: His-tag (minimal interference with structure)
For detection: FLAG tag or GFP
Tag position considerations: N-terminal tags often preserve C-terminal DNA binding activity
For most applications, start with E. coli expression using a His-tag construct, optimizing temperature and inducer concentration to maximize soluble protein production .
To obtain high-purity BBR protein suitable for functional and structural studies, implement this multi-step purification strategy:
Initial capture:
Immobilized Metal Affinity Chromatography (IMAC) for His-tagged BBR
Use Ni-NTA or Co-NTA resin with imidazole gradient elution
Typical conditions: 50 mM Na₂HPO₄ pH 7.4, 0.5 M NaCl, elute with 50-500 mM imidazole
Consider adding 5-10% glycerol and 1-5 mM DTT to maintain stability
Intermediate purification:
Ion exchange chromatography to remove DNA and other contaminants
For BBR (predicted pI ~8-9), use cation exchange at pH 7.0
Elute with salt gradient (50-1000 mM NaCl)
This step is crucial for removing DNA bound to this transcription factor
Tag removal:
Include protease cleavage site between tag and BBR (TEV or PreScission)
Perform cleavage at 4°C overnight with optimized protease:protein ratio
Remove cleaved tag by reverse IMAC
Monitor cleavage efficiency by SDS-PAGE
Polishing step:
Size exclusion chromatography for homogeneous preparation
Recommended columns: Superdex 75 or 200 (depending on oligomeric state)
Running buffer: 20 mM Tris pH 7.5, 150 mM NaCl, 1 mM DTT, 5% glycerol
Analyze elution profile for monodispersity
Quality control:
Verify identity by mass spectrometry
Evaluate homogeneity by dynamic light scattering
Test DNA-binding activity by EMSA
This purification workflow balances yield and purity considerations while preserving the functional integrity of the BBR protein.
Designing effective primers for cloning and expressing Os10g0115500 requires careful consideration of multiple factors:
Complete CDS primer design:
BBR domain-specific primers (positions 54-343):
PCR optimization recommendations:
Use high-fidelity DNA polymerase (Q5, Phusion, or PfuUltra)
Initial denaturation: 98°C for 30 seconds
25-30 cycles of:
Denaturation: 98°C for 10 seconds
Annealing: 58-62°C for 30 seconds (run gradient PCR to optimize)
Extension: 72°C for 1 minute (30 seconds/kb)
Final extension: 72°C for 5 minutes
Add 3-5% DMSO if GC-rich regions cause amplification problems
Cloning strategy considerations:
Select a vector compatible with your expression system and fusion tag requirements
Perform restriction digestion of PCR product and vector using the same enzymes
Gel-purify digested fragments before ligation
Transform into high-efficiency competent cells
Screen colonies by colony PCR and confirm by sequencing
This comprehensive primer design strategy will facilitate successful cloning of Os10g0115500 for various experimental applications.
Understanding BBR's interaction with chromatin requires integrated genomic approaches:
Chromatin accessibility analysis:
Perform ATAC-seq or DNase-seq in wild-type and BBR-deficient plants
Compare accessible chromatin regions to identify BBR-dependent changes
Overlay BBR binding sites with accessibility data to determine if BBR promotes opening or closing of chromatin
Analyze DNA methylation patterns at BBR binding sites
Histone modification analysis:
Conduct ChIP-seq for key histone marks (H3K4me3, H3K27ac, H3K27me3) in wild-type and BBR mutants
Determine if BBR influences active (H3K4me3, H3K27ac) or repressive (H3K27me3) modifications
Analyze temporal dynamics of histone modifications following BBR binding
Investigate potential interactions between BBR and histone-modifying enzymes
Chromatin remodeler interactions:
Test for physical interactions between BBR and chromatin remodeling complexes via co-IP
Compare BBR binding sites with known locations of chromatin remodelers
Determine if BBR recruits specific remodeling complexes to target sites
Analyze nucleosome positioning around BBR binding sites
3D chromatin organization:
Implement Hi-C or Micro-C to determine if BBR affects higher-order chromatin structure
Identify potential enhancer-promoter interactions mediated by BBR
Compare topologically associated domains (TADs) between wild-type and BBR mutants
Use Capture-C to focus on specific BBR-regulated loci
This multi-layered approach will reveal how BBR functions within the broader chromatin regulatory landscape to control gene expression in rice.
A comprehensive evolutionary analysis of BBR can reveal fundamental insights about its function and conservation:
Sequence evolution analysis:
Perform phylogenetic analysis of BBR proteins across plants (focus on Poaceae)
Calculate selection pressure (dN/dS ratios) across different protein domains
Identify regions under purifying selection (functionally constrained) versus diversifying selection
Reconstruct ancestral BBR sequences to infer the evolutionary history of this transcription factor
Functional conservation testing:
Express BBR orthologs from different species in rice BBR mutants
Test complementation ability of distantly related BBR proteins
Compare DNA binding specificities of BBR orthologs using in vitro assays
Perform domain-swapping experiments to identify regions responsible for species-specific functions
Target gene conservation:
Compare BBR binding sites across species using ChIP-seq
Identify conserved versus species-specific targets
Analyze evolutionary conservation of BBR binding motifs
Determine if BBR regulates similar developmental processes across species
Correlation with morphological evolution:
Analyze BBR sequence divergence in relation to leaf shape diversity
Compare expression patterns of BBR across species with different leaf morphologies
Investigate if BBR neo-functionalization or sub-functionalization events correlate with morphological innovations
Use CRISPR to introduce specific BBR mutations that mimic evolutionary changes
This evolutionary perspective will provide insights into how BBR function has been maintained or altered throughout plant evolution, potentially revealing fundamental principles of developmental regulation.