The A. formosae chloroplast genome (161,162 bp) is the largest among land plants, with unique features:
The genome retains ancestral features, including introns (e.g., rrn23) and ORFs (ycf genes), which are lost in later-diverging plants .
The recombinant ndhE is produced via bacterial expression and purified using affinity chromatography . Key applications include:
In A. formosae, RNA editing modifies >1,000 sites in chloroplast transcripts, including protein-coding genes . While ndhE is not explicitly cited as edited, this process may influence Ndh complex assembly or activity. For example:
| Editing Type | Number of Sites | Impact | Reference |
|---|---|---|---|
| C-to-U | 509 | Restores conserved residues in coding regions | |
| U-to-C | 433 | Corrects nonsense codons to sense codons |
The A. formosae Ndh complex provides insights into ancestral chloroplast electron transport systems. Its retention of ndh genes (lost in angiosperms) highlights its role in early land plant adaptation .
The ndhE gene encodes the NAD(P)H-quinone oxidoreductase subunit 4L in the chloroplast genome of Anthoceros formosae, a hornwort species. This gene is part of the circular double-stranded DNA chloroplast genome spanning 161,162 bp, which is notably the largest genome reported among land plant chloroplasts . The chloroplast genome of A. formosae contains 76 protein-coding genes, 32 tRNA genes, and 4 rRNA genes, with the ndhE gene being one of the components of the NDH complex genes . Evolutionarily, hornworts represent an important lineage for understanding chloroplast gene evolution and function in early land plants.
Hornworts occupy a unique evolutionary position among land plants and exhibit distinct features in their chloroplast genome organization and expression. The A. formosae chloroplast genome contains regions that show similarities to liverworts like Marchantia polymorpha but also has distinctive features including a larger inverted repeat (IR) region and the presence of extensive RNA editing . Studying the ndhE subunit in this context provides insights into the evolution of photosynthetic machinery across land plants. Additionally, hornworts possess only one chloroplast per cell, making them interesting models for studying chloroplast protein function and targeting.
When designing experiments for recombinant ndhE, researchers should follow a structured experimental design process. Define clear objectives first—whether studying protein function, structure, or interactions . Select factors to study carefully, ensuring they are practical and feasible to manipulate . Critical factors include expression system selection (bacterial, yeast, or plant-based), codon optimization strategy, purification approach, and functional assay design.
For hornwort proteins specifically, consider the extensive RNA editing that occurs naturally—507 C→U and 432 U→C conversions have been identified in Anthoceros chloroplast transcripts . This may necessitate using cDNA rather than genomic DNA for expression constructs. Create a robust measurement system to evaluate protein expression and activity, ensuring it is accurate, repeatable, and reproducible .
| Expression System | Advantages | Limitations | Suitability for ndhE |
|---|---|---|---|
| E. coli | High yield, rapid growth | Lack of post-translational modifications | Moderate; may require optimization |
| Yeast | Eukaryotic modifications, membrane protein capacity | Slower growth than bacteria | Good for functional studies |
| Plant cell cultures | Natural chloroplast machinery | Lower yields, slower growth | Excellent for functional fidelity |
| Homologous expression (hornwort) | Native environment | Technical challenges, lower yields | Best for in vivo studies |
For homologous expression in hornworts, biolistic transformation methods have been developed for Anthoceros species that could be adapted for recombinant ndhE expression . This approach would allow study of the protein in its native context with appropriate post-translational modifications and protein interactions.
Following best practices in experimental design, begin with screening experiments when many factors need exploration . Use a systematic approach to identify the most influential factors:
Start with a fractional factorial design to screen multiple factors with fewer experimental runs
Measure protein yield and activity as response variables
Analyze which factors significantly affect expression
Follow up with optimization experiments focusing on significant factors
A well-designed screening experiment might include variables such as promoter strength, temperature, induction conditions, and host strain selection. During execution, collect data consistently to minimize variability, and be prepared to repeat experiments if unexpected results occur .
The recommended approach involves both genomic DNA and cDNA strategies to account for RNA editing. For genomic cloning, design primers based on the published A. formosae chloroplast genome sequence to amplify the ndhE coding region . Include 20-50 nucleotides upstream and downstream of the coding region as demonstrated in the hornwort chloroplast genome sequencing methodology .
For cDNA cloning, which is crucial due to extensive RNA editing in hornwort chloroplasts:
Isolate total RNA using CTAB method with modifications appropriate for hornwort tissue
Synthesize cDNA from chloroplast transcripts
Amplify the ndhE coding region using specific primers
Sequence the amplified product to confirm edited sites
Both amplified regions can be directly analyzed with dye terminator cycle sequencing for verification before proceeding to expression vector construction .
Biolistic bombardment (particle gun) has been established as an efficient method for hornwort transformation . This approach allows both transient expression studies and the generation of stable transgenic lines in model hornwort species like Anthoceros agrestis, which can be adapted for A. formosae .
For successful biolistic transformation:
Optimize DNA concentration (typically 2-3 μg per bombardment)
Use gold particles of appropriate size (0.6-1.0 μm)
Adjust helium pressure and target distance based on tissue thickness
Include appropriate selection markers and reporter genes
Allow sufficient recovery time before applying selection pressure
The transformation efficiency can be enhanced by optimizing tissue culture conditions and using young, actively growing tissue as the target for transformation.
Verification should include multiple levels of confirmation:
Genomic integration: PCR analysis using gene-specific and vector-specific primers
Transcription: RT-PCR or Northern blot analysis
Protein expression: Western blot using antibodies against ndhE or added epitope tags
Functional analysis: Enzyme activity assays measuring NAD(P)H oxidation rates
Localization: Microscopy techniques if fluorescent tags are incorporated
When analyzing expression data, check results for any issues and repeat experiments if necessary to ensure reproducibility . For protein function studies, complementation assays in model systems with ndhE mutations can provide additional verification of functional expression.
RNA editing is a critical post-transcriptional modification in hornwort chloroplasts, with A. formosae exhibiting both C→U and U→C editing events . The transcript of ndhE, like other chloroplast genes in hornworts, likely undergoes significant editing that can alter the protein sequence from what would be predicted by the genomic DNA sequence.
Key impacts of RNA editing include:
Potential conversion of ACG to AUG to create proper start codons (observed in other A. formosae chloroplast genes)
Conversion of premature stop codons (UGA, UAA, UAG) to sense codons (CGA, CAA, CAG) through U→C editing
Alteration of amino acid identity that may be crucial for protein function
Changes in protein folding, stability, or interaction properties
When expressing recombinant ndhE, researchers should consider these editing events and how they might affect the final protein product.
| Strategy | Approach | Advantages | Limitations |
|---|---|---|---|
| cDNA-based cloning | Use mRNA as template | Captures natural editing | Limited by transcript availability |
| Synthetic gene approach | Design gene with all edits incorporated | Complete control over sequence | Requires knowledge of all editing sites |
| Codon optimization | Adjust codons for expression host | Improved expression | May alter protein folding |
| Site-directed mutagenesis | Introduce editing changes at specific sites | Targeted approach | Labor intensive for multiple sites |
For research focusing on ndhE function, the cDNA-based approach is generally recommended as it captures the naturally edited transcript. In A. formosae, systematic investigation of RNA editing events has been performed for chloroplast transcripts, which provides valuable reference data for designing expression constructs .
To identify RNA editing sites:
Isolate total RNA from A. formosae tissue using modified CTAB method
Synthesize cDNA using reverse transcription with gene-specific primers
Amplify both genomic DNA and cDNA versions of the ndhE gene
Perform direct sequencing of both amplicons
Compare sequences to identify differences representing editing sites
The systematic approach used for the A. formosae chloroplast genome can serve as a model, where editing events were comprehensively mapped by comparing genomic and transcript sequences . Software tools specialized for RNA editing site detection in plant organelles can facilitate the analysis of sequencing data.
Purifying membrane-associated proteins like ndhE presents unique challenges. A multi-step purification strategy is typically required:
Initial extraction: Use mild detergents (DDM, CHAPS, or digitonin) to solubilize membranes while preserving protein structure
Affinity chromatography: If expressing with affinity tags (His, FLAG, Strep), use corresponding resins
Ion exchange chromatography: Separate based on charge properties
Size exclusion chromatography: Final purification step to obtain homogeneous protein
Throughout purification, maintain conditions that stabilize the protein, including appropriate pH, ionic strength, and glycerol or other stabilizing agents. For functional studies, consider purifying the entire NDH complex rather than isolated ndhE, as the subunit may not fold properly or function in isolation.
Since ndhE is a structural subunit of the NDH complex rather than the catalytic center itself, functional assessment requires reconstitution or integration into the larger complex. Approaches include:
Spectrophotometric assays: Measure NAD(P)H oxidation rates at 340 nm
Artificial electron acceptor assays: Using ferricyanide or dichlorophenolindophenol (DCPIP)
Complex assembly analysis: Blue native PAGE to assess incorporation into the NDH complex
Complementation assays: Expression in NDH-deficient mutants to restore function
When designing activity assays, ensure your measurement system is accurate, repeatable, and stable . Control experiments with known inhibitors or under varying conditions (pH, temperature) can provide additional validation of authentic enzymatic activity.
Drawing parallels with research on NAD(P)H oxidoreductases in other systems, ndhE as part of the NDH complex may contribute to oxidative stress responses. In studies with NQO1 (another NAD(P)H oxidoreductase), this enzyme class has been shown to modulate cellular redox status and influence biologic and physiologic responses to oxidative stressors like ozone .
To investigate ndhE's role in oxidative stress:
Compare wild-type and ndhE-knockdown hornworts under oxidative stress conditions
Measure oxidative stress markers such as F2-isoprostane production
Assess changes in gene expression patterns using RT-PCR for stress-responsive genes
Analyze photosynthetic efficiency under stress conditions
Research has shown that NAD(P)H oxidoreductase activity can be essential for oxidative stress in both mice and humans , suggesting evolutionary conservation of these mechanisms that may extend to hornworts.
The chloroplast genome of A. formosae provides valuable insights for comparative genomics studies. At 161,162 bp, it represents the largest land plant chloroplast genome reported, with distinctive features compared to other bryophytes like the liverwort Marchantia polymorpha . Comparative analysis can reveal:
Sequence conservation patterns across evolutionary lineages
Structural variations in the NDH complex components
Changes in gene arrangement and context
Evolution of RNA editing mechanisms
Phylogenetic analysis based on chloroplast genes has been used to position hornworts in plant evolution . Extending these approaches specifically to ndhE and other NDH complex components can provide insights into the evolution of photosynthetic machinery across land plants.
Understanding ndhE's interactions within the NDH complex and with other chloroplast proteins is crucial for elucidating its function. Multiple complementary approaches can be employed:
Co-immunoprecipitation: Using antibodies against ndhE or interacting partners
Yeast two-hybrid assays: For identifying binary interactions
Split-GFP complementation: For visualizing interactions in vivo
Blue native PAGE: For studying complex assembly
Cross-linking coupled with mass spectrometry: For capturing transient interactions
When analyzing protein interaction data, model the data carefully and interpret results in the context of chloroplast membrane organization . Validation through multiple independent techniques is essential for confirming authentic interactions.
The NDH complex plays roles in photosynthetic efficiency under varying environmental conditions. To study ndhE expression patterns:
Expose hornwort tissues to different environmental stressors (light intensity, temperature, drought)
Isolate RNA and perform real-time RT-PCR for ndhE using approaches similar to those used for NQO1 expression analysis
Correlate expression changes with physiological parameters
Expression analysis can be performed using one-step real-time RT-PCR on an SDS 7300 machine with appropriate dye-labeled probes and universal amplification conditions similar to those used for NQO1 studies: 50°C for 30 minutes, followed by 95°C for 10 minutes, and then 40 cycles of 95°C for 15 seconds followed by 60°C for 1 minute .
| Environmental Condition | Expected Response | Measurement Method | Significance |
|---|---|---|---|
| High light | Increased ndhE expression | RT-PCR, Western blot | Enhanced cyclic electron flow |
| Drought | Modified expression pattern | RT-PCR, physiological measurements | Water conservation strategy |
| Temperature stress | Regulation of NDH complex | Activity assays, expression analysis | Adaptation mechanism |
Researchers commonly encounter several challenges when working with chloroplast membrane proteins like ndhE:
Low expression levels: Membrane proteins often express poorly in heterologous systems
Protein aggregation: Improper folding can lead to inclusion body formation
Toxicity to host cells: Overexpression can disrupt host membrane integrity
Difficult solubilization: Extracting proteins while maintaining native structure
RNA editing complications: Especially relevant for hornwort proteins with extensive editing patterns
To address these challenges, optimize expression conditions through systematic screening of parameters following proper experimental design principles . Consider fusion partners that enhance solubility or specialized expression hosts designed for membrane proteins.
When dealing with low-abundance proteins like ndhE:
Enrich chloroplast fractions: Isolate chloroplasts before protein extraction
Optimize extraction buffers: Include appropriate detergents and protease inhibitors
Use high-sensitivity detection methods: Enhanced chemiluminescence for Western blots
Consider epitope tagging: Add small tags that have high-affinity antibodies available
Employ signal amplification techniques: Such as tyramide signal amplification for immunodetection
Verify your detection system's sensitivity by including appropriate positive controls and standard curves. The measurement system should be accurate, repeatable, reproducible, stable, and linear as emphasized in experimental design principles .
Proper controls are critical for interpreting results related to ndhE studies:
Positive controls: Include known functional NAD(P)H oxidoreductases
Negative controls: Use samples lacking the ndhE gene or with inactivated enzyme
Vector-only controls: For transformation experiments
Time course controls: To establish baseline expression patterns similar to the NQO1 activity measurements shown in Table 1 from the ozone exposure study
Tissue-specific controls: Compare expression across different hornwort tissues
For RNA editing studies, comparing genomic DNA and cDNA sequences provides internal control for editing site identification . When measuring enzyme activity, include controls with specific inhibitors to confirm the specificity of the observed activity.