Recombinant Ranunculus macranthus ATP synthase subunit c (atpH) is a chloroplast-localized protein encoded by the atpH gene. It forms part of the F₀ sector of ATP synthase, a membrane-embedded rotor responsible for proton translocation during ATP synthesis . The recombinant variant is produced in Escherichia coli with an N-terminal His tag for purification and experimental applications .
Role in ATP Synthase Complex: Subunit c oligomerizes to form a ring structure in the F₀ sector, enabling proton-driven rotation that powers ATP synthesis in the F₁ sector .
Chloroplast-Specific Function: Facilitates ATP production during photosynthesis by coupling proton gradients across thylakoid membranes to chemical energy .
This recombinant protein is utilized in:
Biochemical Assays: Studying ATP synthase assembly and function .
Structural Biology: Analyzing membrane protein dynamics via X-ray crystallography or cryo-EM .
Plant Physiology: Investigating photosynthetic efficiency in Ranunculus macranthus and related species .
Comparative studies of ATP synthase subunits across plant species reveal:
Genetic Conservation: The atpH gene is highly conserved across angiosperms, with Ranunculus macranthus sharing 85% sequence identity with Arabidopsis thaliana .
Functional Mutations: Amino acid substitutions in the transmembrane domain disrupt proton translocation efficiency, as shown in mutagenesis studies .
Ongoing research aims to:
ATP synthase subunit c, chloroplastic (atpH) in Ranunculus macranthus is a critical protein component of the chloroplast ATP synthase complex involved in energy production during photosynthesis . This protein belongs to the F-type ATPase subunit c family and functions within the F0 sector of the ATP synthase machinery . The protein consists of 81 amino acids with the sequence: MNPLISAASVIAAGLAVGLASIGPGVGQGTAAGQAVEGIARQPEAEGKIRGTLLLSLAFMEALTIYGLVVALALLFANPFV . As part of the ATP synthase complex, it facilitates proton movement across the thylakoid membrane, contributing to the electrochemical gradient necessary for ATP synthesis during photosynthesis . The protein is encoded by the atpH gene located in the chloroplast genome, typically positioned between atpF and atpI genes in the large single-copy (LSC) region in most Ranunculus species .
The expression and purification of recombinant Ranunculus macranthus ATP synthase subunit c involve several specialized techniques optimized for chloroplast membrane proteins. Initially, researchers clone the atpH gene into appropriate expression vectors, typically incorporating affinity tags to facilitate purification . Given that atpH is a small, hydrophobic membrane protein (81 amino acids), expression systems that accommodate membrane proteins are preferred, such as E. coli strains specifically engineered for membrane protein expression .
The purification process involves:
Cell lysis under conditions that preserve protein structure
Membrane isolation via differential centrifugation
Solubilization using mild detergents (typically CHAPS or n-dodecyl-β-D-maltoside)
Affinity chromatography utilizing the incorporated tag
For structural studies, researchers may employ techniques such as circular dichroism spectroscopy to assess secondary structure or more advanced methods like NMR spectroscopy, given the protein's relatively small size. The purified protein is typically stored in a Tris-based buffer with 50% glycerol at -20°C to maintain stability, with extended storage recommended at -80°C . For functional studies, reconstitution into liposomes may be necessary to assess proton transport capabilities.
The atpH gene rearrangement observed in select Ranunculus species represents a significant molecular marker for phylogenetic analyses. In R. austro-oreganus and R. occidentalis, the atpH gene has translocated from its typical position in the LSC region to between ycf1 and trnN-GUU in the SSC region, which is approximately 11.5 kb away from its conventional location . This substantial genomic rearrangement correlates with an expansion of the SSC region in these species to approximately 21,249 bp and 21,269 bp, respectively, compared to the standard 18,909 bp in R. japonicus and R. macranthus .
These genomic rearrangements serve as powerful phylogenetic markers for several reasons:
Such structural changes are relatively rare events in chloroplast evolution
They occur at lower frequencies than nucleotide substitutions, reducing homoplasy
They provide strong evidence for common ancestry when shared by multiple species
For comprehensive phylogenetic analyses, researchers should implement a multi-faceted approach:
Include both gene sequence data and structural rearrangement information
Apply software tools like IRscope to accurately detect IR expansion/contraction events
Employ sliding window analysis with DnaSP v.5 to quantify nucleotide variability across the genome
These structural variations offer valuable insights into the evolutionary relationships within Ranunculus, potentially resolving phylogenetic ambiguities that sequence data alone cannot address. The fact that only two species within the analyzed group show this rearrangement strongly suggests their close evolutionary relationship and potential divergence from other Ranunculus species .
The PAML package (Phylogenetic Analysis by Maximum Likelihood) represents the gold standard for detecting positive selection. Specifically, researchers should implement:
CODEML analysis with the branch model (model = 2; NSsites = 0) to estimate the dN:dS ratio (ω) across lineages
Comparison between foreground (Ranunculeae) and background (outgroup) branches to identify lineage-specific selection
Statistical validation using chi-square distribution to assess significance of results
Bayes Empirical Bayes (BEB) method to identify specific amino acid sites under selection with high posterior probability values (P > 0.9)
This analytical framework should be complemented with:
Extraction of complete coding sequences (CDS) using tools like Geneious Prime
Codon-based Z-test of selection implemented in MEGA software
McDonald-Kreitman test to compare intraspecific polymorphism versus interspecific divergence
While studies have identified several chloroplast genes showing positive selection in Ranunculus (including ndhE, ndhF, rpl23, atpF, rps4, and rpoA), specific analysis of atpH selection pressures would provide valuable insights into how its functional constraints and evolutionary dynamics may differ from related genes in the ATP synthase complex . The unique positioning of atpH in certain Ranunculus species further suggests potential selective pressures related to genomic reorganization.
Systematic analysis of structural variations in the atpH protein across Ranunculus species requires an integrated approach combining sequence analysis, structural prediction, and comparative genomics. The following methodology provides a comprehensive framework:
Sequence Alignment and Conservation Analysis:
Structural Prediction and Modeling:
Functional Domain Analysis:
Association with Genomic Context:
This systematic approach enables researchers to connect sequence-level variations with potential functional and evolutionary implications, particularly in species showing atypical genomic arrangements of the atpH gene. The comprehensive analysis framework facilitates understanding whether structural adaptations in the protein complement the observed genomic rearrangements.
The functional characterization of recombinant Ranunculus macranthus ATP synthase subunit c requires specialized techniques that account for its nature as a membrane protein component of a larger complex. Optimal experimental conditions include:
Reconstitution System Selection:
Liposome reconstitution using a mixture of phosphatidylcholine and phosphatidic acid (7:3 ratio)
Nanodiscs stabilized with membrane scaffold proteins for single-particle analysis
Proteoliposomes with co-reconstituted ATP synthase subunits for complex analysis
Buffer Conditions:
pH range: 7.2-7.8 (Tris or HEPES buffer)
Salt concentration: 100-150 mM KCl or NaCl
Presence of 5-10% glycerol to enhance stability
Proton Transport Assays:
Fluorescence-based assays using pH-sensitive dyes (ACMA or pyranine)
Membrane potential measurements with voltage-sensitive dyes (Oxonol VI)
Stopped-flow spectroscopy for kinetic analysis of proton movement
ATP Synthesis Coupling:
Measurement of ATP synthesis rates using luciferase-based luminescence assays
Analysis of P:O ratio (ATP synthesized per oxygen consumed) in reconstituted systems
Assessment of proton conductance using patch-clamp techniques on proteoliposomes
The integration of atpH into the complete ATP synthase complex often requires co-expression or co-reconstitution with other subunits, particularly those of the F₀ sector. Temperature stability analysis is also recommended, as the functional temperature range may provide insights into ecological adaptations of Ranunculus macranthus relative to other species within the genus that show different genomic arrangements of the atpH gene .
When designing site-directed mutagenesis experiments for Ranunculus macranthus atpH functional studies, researchers should incorporate several critical considerations to ensure meaningful results:
Target Site Selection:
Prioritize highly conserved residues identified through multiple sequence alignments of atpH across Ranunculus species
Focus on the essential functional motif "GQGTAAGQAVEGIARQPEAEGKIRGTLLL" (residues 26-53) involved in proton translocation
Investigate species-specific amino acid variations, particularly between species with different genomic arrangements of atpH
Mutation Strategy Matrix:
| Residue Type | Suggested Substitution | Rationale | Expected Functional Impact |
|---|---|---|---|
| Charged (D,E,K,R) | Neutral (A,N,Q) | Disrupt ion interactions | Altered proton conductance |
| Hydrophobic core (L,I,V) | Polar (S,T) | Destabilize membrane domain | Reduced complex assembly |
| Glycine residues | Alanine | Restrict conformational flexibility | Changed rotation coupling |
| Conserved proton-carrying | Histidine variants (H+) | Modify pKa | Altered pH dependence |
Experimental Validation Approaches:
Combine in vitro and in vivo systems to comprehensively assess mutant phenotypes
Employ complementation studies in ATP synthase-deficient bacterial strains
Utilize reconstituted proteoliposomes to measure proton transport efficiency
Implement thermal stability assays to evaluate structural impacts of mutations
Controls and Comparisons:
Generate parallel mutations in atpH from species with different genomic arrangements (R. austro-oreganus vs. R. macranthus)
Include subtle mutations (conservative substitutions) as controls for expression/folding effects
Compare results with homologous mutations in well-characterized ATP synthase subunit c from model organisms
By systematically addressing these considerations, researchers can develop mutagenesis experiments that not only elucidate structure-function relationships in atpH but also potentially reveal evolutionary adaptations associated with the observed genomic rearrangements in certain Ranunculus species.
The genomic context of the atpH gene shows notable variations across plant families, with Ranunculus species exhibiting particularly interesting evolutionary patterns. Comparative analysis reveals several distinct organizational patterns:
Standard Arrangement in Most Angiosperms:
In most flowering plants, including many Ranunculus species such as R. macranthus, the atpH gene is positioned between atpF and atpI genes within the large single-copy (LSC) region of the chloroplast genome . This arrangement is considered the ancestral state in angiosperms and is widespread across diverse plant families including Convolvulaceae (as seen in Ipomoea pes-caprae) .
Ranunculus-Specific Variations:
A striking deviation from this pattern occurs in two Ranunculus species: R. austro-oreganus and R. occidentalis, where the atpH gene has translocated to the small single-copy (SSC) region, specifically between ycf1 and trnN-GUU genes . This rearrangement coincides with a significant expansion of the SSC region (approximately 2 kb longer than typical Ranunculus species) .
Comparative Framework Across Plant Families:
| Plant Family | Species Examples | atpH Genomic Context | IR/SSC Boundary Features |
|---|---|---|---|
| Ranunculaceae | R. macranthus, R. japonicus | Between atpF-atpI in LSC | Standard boundary |
| Ranunculaceae | R. austro-oreganus, R. occidentalis | Between ycf1-trnN-GUU in SSC | Expanded SSC (~21.2 kb) |
| Convolvulaceae | Ipomoea pes-caprae | Between atpF-atpI in LSC | Standard arrangement |
| Papaveraceae | Papaver setigerum | Between atpF-atpI in LSC | Standard arrangement |
The unusual repositioning of atpH in select Ranunculus species represents a valuable case study in chloroplast genome evolution. This rearrangement likely occurred through expansion and contraction of the inverted repeat (IR) regions affecting the IR-SSC boundary . Such structural variations can be detected through comparative genomic tools including mVISTA software implementing LAGAN and Shuffle-LAGAN modes, as well as IRscope for detailed analysis of IR boundary shifts .
Detecting positive selection in chloroplast genes like atpH requires sophisticated analytical approaches that can distinguish between neutral evolution and adaptive changes. The most effective methodologies combine sequence-based analyses with structural and functional insights:
1. Codon-Based Maximum Likelihood Methods:
The most powerful approach employs the PAML package (Phylogenetic Analysis by Maximum Likelihood), particularly CODEML . This method:
Calculates the ratio of nonsynonymous to synonymous substitution rates (dN/dS or ω)
Implements site, branch, and branch-site models to detect selection at different levels
Uses statistical frameworks like Likelihood Ratio Tests (LRTs) to evaluate significance
For atpH analysis, researchers should implement:
Branch model (model = 2; NSsites = 0) to compare selection pressures between Ranunculus and outgroups
Site models to identify specific codons under selection
Bayes Empirical Bayes (BEB) analysis to calculate posterior probabilities for positively selected sites
2. Population Genetics Approaches:
Complementary methods include:
McDonald-Kreitman test comparing polymorphism within species versus divergence between species
Tajima's D and Fu & Li's F* tests to detect departures from neutrality
Fay and Wu's H to identify selective sweeps
3. Integrated Structural-Functional Analysis:
More sophisticated analyses incorporate:
Mapping of potentially selected sites onto protein structural models
Assessment of whether selected sites cluster in functional domains
Correlation of selection patterns with genomic rearrangements (particularly relevant for atpH in Ranunculus)
4. Comparative Analysis Framework:
For robust results, researchers should:
Include diverse sampling across the Ranunculus genus and related outgroups
Extract complete coding sequences using tools like Geneious Prime
Implement sliding window analysis to identify selection hotspots
Compare selection patterns between species with different atpH genomic arrangements
Studies on related chloroplast genes have identified several loci under positive selection in Ranunculus (ndhE, ndhF, rpl23, atpF, rps4, and rpoA) . Similar methodologies applied to atpH would reveal whether its distinct genomic arrangements correlate with adaptive molecular evolution.
Integrating atpH variation data with broader chloroplast genome evolution studies requires a multi-dimensional approach that connects gene-level changes with genome-wide patterns. Researchers can implement the following comprehensive framework:
1. Multi-scale Comparative Genomics:
Synteny analysis using mVISTA with LAGAN and Shuffle-LAGAN modes to identify structural rearrangements across species
Detailed IR boundary analysis using IRscope to characterize expansion/contraction events affecting atpH positioning
Calculation of nucleotide diversity (Pi) using sliding window analysis in DnaSP v.5 to identify evolutionary hotspots
Integration of genome-wide patterns with atpH-specific variations to determine whether they represent isolated events or coordinated evolutionary changes
2. Phylogenomic Integration:
Construction of phylogenetic trees using both whole chloroplast genomes and individual genes
Comparison of tree topologies to identify potential discordances suggestive of horizontal gene transfer or incomplete lineage sorting
Mapping of atpH rearrangements onto phylogenetic trees to determine their timing and frequency
Implementation of ancestral state reconstruction to understand the directionality of atpH genomic repositioning events
3. Molecular Evolution Integration:
Correlation analysis between positive selection patterns and structural rearrangements
Investigation of whether species with repositioned atpH (R. austro-oreganus and R. occidentalis) show distinctive selection signatures
Comparison of evolutionary rates between standard and rearranged genomic contexts
4. Functional Implication Analysis:
Assessment of whether atpH repositioning affects gene expression patterns
Investigation of potential impacts on ATP synthase assembly and function
Experimental validation of fitness effects associated with different genomic arrangements
This integrated approach enables researchers to contextualize atpH variations within the broader evolutionary history of chloroplast genomes. The unique rearrangements observed in select Ranunculus species provide an exceptional opportunity to study the mechanisms and consequences of chloroplast genome restructuring . By connecting gene-specific changes with genome-wide patterns, researchers can develop more comprehensive models of chloroplast genome evolution that account for both sequence-level and structural variations.
Expressing and purifying membrane proteins like atpH for structural studies presents numerous technical challenges due to their hydrophobic nature and integration within lipid bilayers. These challenges and their solutions include:
1. Expression System Limitations:
Challenge: Conventional bacterial expression systems often result in toxicity, aggregation, or inclusion body formation due to atpH's hydrophobicity.
Solutions:
Utilize specialized E. coli strains designed for membrane protein expression (C41(DE3), C43(DE3))
Implement inducible expression systems with tight regulation
Explore cell-free expression systems that allow direct incorporation into artificial membranes
Consider fusion partners that enhance solubility (MBP, SUMO) with cleavable linkers
2. Extraction and Solubilization Difficulties:
Challenge: Harsh detergents can denature membrane proteins, while mild detergents may inadequately solubilize.
Solutions:
3. Protein Stability Issues:
Challenge: ATP synthase subunit c is often unstable when isolated from its complex.
Solutions:
4. Crystallization Barriers:
Challenge: Small membrane proteins like atpH (81 amino acids) provide limited hydrophilic surface for crystal contacts.
Solutions:
5. Functional Verification:
Challenge: Confirming that purified atpH retains native folding and functionality.
Solutions:
By systematically addressing these challenges with appropriate methodological solutions, researchers can successfully express, purify, and characterize the structural properties of atpH, contributing valuable insights into its role within the ATP synthase complex.
Effectively comparing atpH gene arrangements across multiple Ranunculus species requires a comprehensive analytical framework that integrates genomic, bioinformatic, and visualization approaches. The following methodology provides a systematic pipeline for such comparative analyses:
1. Sequencing and Assembly Strategy:
Implement genome skimming approaches using next-generation sequencing (NGS) on platforms like Illumina NovaSeq 6000
Generate paired-end reads (2 × 150 bp) to ensure adequate coverage of the chloroplast genome
Extract chloroplast reads by mapping to reference genomes using Bowtie 2
Assemble complete chloroplast genomes using specialized software like Canu (V2.2)
Annotate resulting genomes with programs like PGA or GeSeq with manual verification
2. Comparative Genomic Analysis:
Align complete chloroplast genomes using mVISTA with both LAGAN and Shuffle-LAGAN modes to detect structural variations
Implement IRscope specifically to visualize and quantify IR expansion/contraction events that may affect atpH positioning
Calculate nucleotide variability (Pi) using sliding window analysis in DnaSP v.5 to identify evolutionary hotspots across the genome
Use Geneious Prime for detailed gene-level comparisons and codon usage analysis
3. Visualization and Documentation Framework:
| Analysis Component | Recommended Tools | Output Format | Key Metrics to Report |
|---|---|---|---|
| Gene position mapping | Chloroplot, OGDRAW | Circular gene maps | Gene order, IR boundaries |
| Synteny analysis | mVISTA, Mauve | Linear alignment plots | Conserved blocks, rearrangements |
| IR boundary analysis | IRscope | Boundary diagrams | IR junction types, expansions |
| Comparative gene structure | MEGA, Geneious | Gene models | Exon/intron arrangement, length variation |
4. Statistical Validation:
Implement statistical tests to evaluate the significance of observed structural variations
Assess correlation between genomic rearrangements and other evolutionary patterns
Calculate the frequency of independent rearrangement events across the phylogeny
This comprehensive approach has successfully identified the unique repositioning of atpH in R. austro-oreganus and R. occidentalis, where it has moved from its typical location in the LSC region (between atpF and atpI) to the SSC region (between ycf1 and trnN-GUU) . Such thorough comparative analysis enables researchers to document patterns of chloroplast genome evolution and identify potential mechanisms driving structural rearrangements.
Several emerging technologies show significant promise for investigating atpH function in photosynthetic organisms, offering unprecedented insights into its structure, dynamics, and interactions within the ATP synthase complex:
1. Advanced Structural Biology Approaches:
Cryo-Electron Microscopy (Cryo-EM): Enables visualization of the entire ATP synthase complex at near-atomic resolution without crystallization, revealing the native context of atpH within the membrane environment
Integrative Structural Biology: Combines multiple techniques (X-ray crystallography, NMR, SAXS, computational modeling) to generate comprehensive structural models of atpH in different functional states
Time-Resolved Serial Femtosecond Crystallography: Captures dynamic structural changes during proton translocation using X-ray free-electron lasers (XFELs)
2. Single-Molecule Techniques:
Single-Molecule FRET: Monitors real-time conformational changes in individually labeled atpH proteins during ATP synthesis
High-Speed Atomic Force Microscopy (HS-AFM): Visualizes rotational dynamics of ATP synthase components including the c-ring containing atpH subunits
Patch-Clamp Electrophysiology: Measures proton conductance through single ATP synthase complexes in nanodiscs or liposomes
3. Advanced Genetic and Genomic Approaches:
CRISPR-Cas9 Genome Editing in Chloroplasts: Enables precise modification of the native atpH gene in photosynthetic organisms
Site-Specific Unnatural Amino Acid Incorporation: Allows introduction of biophysical probes at specific positions within atpH
Long-Read Sequencing Technologies (Oxford Nanopore, PacBio): Facilitates more accurate chloroplast genome assembly to detect complex structural rearrangements affecting atpH
4. Systems Biology Integration:
Multi-omics Approaches: Integrates transcriptomics, proteomics, and metabolomics to understand atpH function in the broader context of photosynthetic energy metabolism
In Silico Modeling: Implements molecular dynamics simulations to predict how sequence variations impact proton movement through the c-ring
Synthetic Biology Redesign: Engineers modified atpH variants to optimize photosynthetic efficiency or adapt to different environmental conditions
The unique genomic arrangement of atpH in certain Ranunculus species offers valuable insights that could inform innovative synthetic biology applications, particularly in chloroplast engineering and artificial photosynthetic systems:
1. Design Principles for Chloroplast Genome Engineering:
The natural repositioning of atpH in R. austro-oreganus and R. occidentalis demonstrates the plasticity of chloroplast genomes and identifies permissible rearrangement sites
This natural experiment reveals that essential genes like atpH can function in alternative genomic contexts, providing confidence for synthetic reorganization of chloroplast genomes
The expanded SSC region (~21.2 kb) in these species identifies potential "buffer zones" that can accommodate inserted genetic elements without disrupting essential functions
2. Optimizing Gene Expression Through Strategic Positioning:
The different genomic contexts of atpH (LSC vs. SSC regions) provide a natural case study in how positional effects influence gene expression
Synthetic biologists could leverage this knowledge to strategically position transgenes in chloroplast genomes for optimal expression levels
Comparing expression efficiency of atpH in its different natural positions could inform design rules for synthetic chloroplast circuits
3. Engineering Stress-Responsive ATP Synthase Systems:
The evolutionary selection pressure that likely drove atpH rearrangement may be related to environmental adaptation
Analysis of whether the repositioned atpH correlates with altered ATP synthase performance under specific environmental conditions could inspire stress-responsive synthetic systems
Comparative functional analysis between standard and rearranged atpH contexts might reveal optimizations for different growth conditions
4. Synthetic Minimal Chloroplast Genomes:
The functional viability of species with rearranged atpH demonstrates the robustness of chloroplast genetic systems
This supports the feasibility of designing minimal chloroplast genomes with optimized gene arrangements
Natural rearrangements provide evidence for which gene adjacencies are non-essential and can be modified in synthetic designs
5. Evolutionary Computing Approaches:
The natural experiment of atpH repositioning provides training data for algorithms that predict viable chloroplast genome arrangements
Machine learning models could be developed to predict the functional consequences of synthetic rearrangements based on natural examples
In silico evolution experiments could explore the adaptive landscape of potential chloroplast genome organizations
By studying these natural genomic innovations in Ranunculus species, synthetic biologists gain valuable insights into the design principles governing chloroplast genome organization and function, potentially leading to improved synthetic photosynthetic systems with enhanced efficiency or stress tolerance.