This protein catalyzes the aldol cleavage of 4-hydroxy-4-methyl-2-oxoglutarate (HMG) into two pyruvate molecules. It also exhibits secondary oxaloacetate (OAA) decarboxylase activity, a consequence of the shared pyruvate enolate transition state in both retro-aldol cleavage and decarboxylation reactions.
KEGG: aci:ACIAD1391
STRING: 62977.ACIAD1391
ACIAD1391 is a gene encoding a putative regulator of ribonuclease activity in Acinetobacter sp. ADP1. Based on genomic analysis, this gene is part of the comprehensive genome sequence of Acinetobacter ADP1, which consists of 3,598,621 bp with an average G+C content of 40.3% . The protein encoded by ACIAD1391 is predicted to function as a regulatory element involved in RNA processing pathways, potentially controlling ribonuclease activity similar to other RNA-binding proteins found in Acinetobacter species. Computational analysis suggests it may share functional similarities with the RNase P regulatory network, which plays a crucial role in tRNA processing and other RNA maturation events. The protein likely contains domains characteristic of nucleic acid-binding proteins, with a predicted isoelectric point in the range of 9-11, similar to other RNA regulatory proteins identified in Acinetobacter .
ACIAD1391 belongs to a family of regulatory proteins found across Acinetobacter species, though with varying degrees of conservation. Sequence similarity analyses show:
Unlike the well-characterized AcoN regulator, which functions as a negative regulator of acetoin catabolic genes and integrates quorum signals , ACIAD1391 appears to be more directly involved in RNA processing pathways. The presence of a conserved central core (approximately 30 amino acids) is characteristic of RNA regulatory proteins across Acinetobacter species, though ACIAD1391 has unique flanking sequences that likely contribute to its specificity in regulating ribonuclease activity .
A comprehensive experimental approach to characterizing ACIAD1391 function should include:
Gene Knockout and Complementation Studies:
Generate a clean ACIAD1391 deletion mutant in Acinetobacter sp. using marker-free genome editing techniques
Create a complementation strain expressing ACIAD1391 under a controlled promoter
Compare phenotypes of wild-type, mutant, and complemented strains under various growth conditions
Protein Expression and Purification:
Clone ACIAD1391 into an expression vector with a His-tag or other affinity tag
Express in E. coli BL21(DE3) or similar expression host
Purify using affinity chromatography followed by size exclusion chromatography
RNA-Protein Interaction Studies:
Perform RNA immunoprecipitation (RIP) to identify RNA targets
Use electrophoretic mobility shift assays (EMSA) to confirm direct interactions
Conduct RNA footprinting to identify binding sites
Transcriptome Analysis:
Compare RNA profiles of wild-type and ΔACIAD1391 strains using RNA-Seq
Analyze differential expression patterns
Identify potential regulatory networks affected by ACIAD1391 deletion
The experimental design should include at least three biological replicates per condition and appropriate controls to ensure statistical validity6 .
Based on research with similar regulatory proteins in Acinetobacter species, the following media conditions are recommended:
Base Media Formulations:
| Media Type | Composition | Application |
|---|---|---|
| Nutrient-rich (LB) | Standard LB broth | General growth and maintenance |
| Minimal Media with Acetate (MMA) | Minimal salts + 27 mM acetate | Carbon-limited studies |
| Minimal Media with Citrate (MMC) | Minimal salts + 27 mM citrate | Alternative carbon source |
| Minimal Media with Pyruvate (MMP) | Minimal salts + 27 mM pyruvate | Metabolic regulation studies |
| Minimal Media with Succinate (MMS) | Minimal salts + 27 mM succinate | Respiratory metabolism studies |
Environmental Conditions to Test:
Temperature variations (23°C, 30°C, 37°C)
Light conditions (blue light vs. dark)
Iron limitation (with iron chelators)
DNA damage stress (with 1 μM mitomycin C)
Since ACIAD1391 is a putative regulator of ribonuclease activity, RNA stability may vary significantly under different growth conditions. Testing multiple carbon sources is crucial as Acinetobacter metabolic regulation is often carbon source-dependent . Additionally, compare growth at different temperatures, as some regulatory mechanisms in Acinetobacter are temperature-dependent, such as the light-dependent regulation observed at 23°C but not at 30°C .
For optimal cloning and expression of ACIAD1391, the following methodology is recommended:
Cloning Strategy:
Amplify the ACIAD1391 gene with high-fidelity polymerase using primers containing appropriate restriction sites
Clone the PCR product into a Gateway entry vector such as pENTR3C via the BamHI and XhoI sites
Transfer to expression vectors using LR Clonase recombination
Expression Systems:
E. coli BL21(DE3) for high-yield protein production
E. coli BL21(DE3) T7A49 for complementation studies if ACIAD1391 has RNase P-like activity
Native Acinetobacter sp. for functional studies
Protein Purification Protocol:
Express with C-terminal His-tag for easier purification
Lyse cells with sonication in buffer containing 50 mM Tris-HCl (pH 8.0), 300 mM NaCl, 10% glycerol
Purify using Ni-NTA affinity chromatography
Further purify by size exclusion chromatography
This approach has been successful for similar proteins in Acinetobacter, such as the C5 protein cofactor of RNase P from A. baumannii . Verification of proper folding and activity should be performed using activity assays specific to the predicted function of ACIAD1391.
Creating and validating knockout mutants of ACIAD1391 requires careful consideration of Acinetobacter's genetic characteristics:
Knockout Strategy:
Design deletion constructs with ~1 kb homology arms flanking ACIAD1391
Use natural transformation capability of Acinetobacter sp. ADP1, which offers extraordinary convenience for genetic manipulation
Apply marker-free genome editing techniques similar to those used for pentose utilization pathway integration in A. baylyi ADP1
Screen transformants by PCR and sequencing
Validation Protocol:
| Validation Method | Purpose | Protocol Details |
|---|---|---|
| PCR verification | Confirm deletion | Use primers flanking the deleted region |
| RT-qPCR | Verify absence of expression | Compare transcript levels between wild-type and mutant |
| RNA-Seq | Assess global effect | Compare transcriptomes of wild-type and mutant |
| Complementation | Confirm phenotype | Reintroduce ACIAD1391 under native or inducible promoter |
| Phenotypic assays | Assess function | Test RNA stability, stress responses, growth rates |
Critical Controls:
Include positive and negative controls for all PCR reactions
Use wild-type strain as reference in all experiments
Create a complementation strain to verify that phenotypic changes are due to ACIAD1391 deletion
For experimental validation, RNA stability assays are particularly important since ACIAD1391 is predicted to regulate ribonuclease activity. Compare the half-lives of various RNA species (mRNA, tRNA, rRNA) between wild-type and ΔACIAD1391 strains under different growth conditions .
ACIAD1391 may interact with the RNase P machinery in Acinetobacter sp. in a manner similar to regulatory interactions observed in related species:
Potential Mechanisms of Interaction:
Direct Binding to RNase P Components:
ACIAD1391 might interact with the M1 RNA catalytic subunit, similar to how protein cofactors like C5 enhance RNase P activity
It may function as an additional cofactor that regulates RNase P substrate specificity
Modulation of RNase P Expression:
ACIAD1391 could regulate the expression of the rnpB gene (encoding M1 RNA) or the rnpA gene (encoding C5 protein)
This regulation might be condition-dependent, similar to how light and quorum sensing regulate other Acinetobacter genes
Substrate Recognition Modification:
ACIAD1391 might alter RNase P's ability to recognize specific RNA structures, potentially expanding or restricting its target range
This could be relevant to the application of EGS (External Guide Sequence) technology in Acinetobacter
The RNase P holoenzyme in Acinetobacter baumannii consists of an M1 RNA component (M1 Ab) and a C5 protein cofactor (C5 Ab). The M1 Ab RNA shows activity in combination with the C5 protein cofactor from both A. baumannii and E. coli . ACIAD1391 may influence this activity, potentially serving as an additional regulatory factor that fine-tunes RNase P function under specific environmental conditions.
To test these interactions experimentally, yeast two-hybrid assays could be used to detect protein-protein interactions between ACIAD1391 and C5, similar to the approach used to demonstrate interactions between AcoN and BlsA in A. baumannii .
Based on studies of antisense RNA (asRNA) regulation in related bacteria, ACIAD1391 could play several roles in asRNA-mediated regulation:
Potential Functions in asRNA Regulation:
Processing of asRNA-mRNA Duplexes:
Stabilization of Regulatory asRNAs:
May protect specific asRNAs from degradation, enhancing their regulatory effects
Could function similarly to how PNPase affects asRNA stability in other bacteria
Coordination with Environmental Sensing:
Experimental Approach to Test asRNA Involvement:
To investigate ACIAD1391's role in asRNA regulation, researchers should:
Perform RNA-Seq on wild-type and ΔACIAD1391 strains, specifically looking for:
Differential expression of known asRNAs
Changes in the stability of asRNA-mRNA pairs
Novel asRNAs that may be regulated by ACIAD1391
Use Northern blotting with strand-specific probes to detect:
Accumulation of specific asRNAs in the presence/absence of ACIAD1391
Processing patterns of asRNA-mRNA duplexes
Conduct RNA immunoprecipitation followed by sequencing (RIP-Seq) to identify:
Direct RNA targets of ACIAD1391
Enrichment for specific RNA structural motifs in bound RNAs
This approach would reveal whether ACIAD1391 functions similarly to regulators that affect asRNA stability and function in other bacterial systems .
For comprehensive proteomic analysis of ACIAD1391's impact, the following approaches are recommended:
iTRAQ-Based Quantitative Proteomics:
The iTRAQ (isobaric tags for relative and absolute quantification) coupled with LC/MS/MS approach has been successfully used to study proteomic changes in A. baylyi ADP1 under different stress conditions and would be ideal for studying ACIAD1391:
Protocol Overview:
Culture wild-type and ΔACIAD1391 strains under various conditions
Extract and quantify total proteins
Perform tryptic digestion
Label peptides with iTRAQ reagents
Combine samples and fractionate
Analyze by LC/MS/MS
Process data using appropriate software (e.g., Proteome Discoverer)
Key Experimental Conditions to Test:
Different carbon sources (acetate, citrate, pyruvate, succinate)
Stress conditions (DNA damage, oxidative stress)
Different growth phases (exponential vs. stationary)
Data Analysis Approach:
| Analysis Type | Purpose | Software/Method |
|---|---|---|
| Differential Expression | Identify proteins affected by ACIAD1391 deletion | ANOVA, fold change > 2.0, p < 0.05 |
| Protein Clustering | Group proteins with similar expression patterns | Hierarchical clustering |
| Pathway Enrichment | Identify biological processes affected | Gene Ontology, KEGG pathway analysis |
| Protein-Protein Network | Visualize protein interactions | STRING database integration |
Focus on proteins involved in RNA metabolism, stress response, and energy production, as these were significantly affected in previous Acinetobacter proteomic studies . Pay particular attention to ribonucleases and RNA-binding proteins that might be directly regulated by ACIAD1391.
Integration of transcriptomics and proteomics data provides a comprehensive view of ACIAD1391's regulatory impact:
Multi-omics Integration Strategy:
Data Generation:
Perform RNA-Seq on wild-type and ΔACIAD1391 strains under identical conditions
Conduct iTRAQ proteomics on the same samples
Include at least three biological replicates for statistical validity
Normalization and Preprocessing:
Normalize RNA-Seq data (FPKM/TPM)
Normalize proteomics data (log2 transformation)
Filter low-quality/low-confidence measurements
Correlation Analysis:
Calculate Pearson/Spearman correlations between transcript and protein levels
Identify genes with discordant mRNA-protein relationships (potential post-transcriptional regulation)
Pathway Mapping:
Map transcripts and proteins to metabolic pathways
Identify pathways with significant changes at both levels
Network Construction:
Build an integrated network incorporating:
Transcription factors
RNA-binding proteins
Post-translational modifiers
Metabolic enzymes
Visualization and Analysis Tools:
| Analysis Approach | Purpose | Tools |
|---|---|---|
| Correlation plots | Visualize transcript-protein relationships | R (ggplot2), Python (matplotlib) |
| Heat maps | Display expression patterns | Clustvis, Morpheus |
| Pathway visualization | Map expression onto metabolic pathways | KEGG Mapper, Cytoscape with BioCyc |
| Network analysis | Identify key regulatory nodes | Cytoscape, STRING |
Interpretation Framework:
Genes affected at both transcript and protein levels likely represent direct regulatory targets
Genes with changed protein but not transcript levels may indicate post-transcriptional regulation
Pathway enrichment analysis can reveal biological processes most affected by ACIAD1391
This integrated approach has been successful in understanding regulatory networks in Acinetobacter species under various stress conditions and would provide comprehensive insights into ACIAD1391's regulatory functions.
Understanding ACIAD1391's function could lead to novel antimicrobial approaches, particularly against multidrug-resistant Acinetobacter baumannii:
Potential Therapeutic Applications:
EGS Technology Development:
If ACIAD1391 influences RNase P activity, this knowledge could enhance the design of External Guide Sequences (EGS)
EGS technology utilizes short antisense oligonucleotides that, when forming a duplex with target RNA, induce its cleavage by RNase P
This approach could target essential, virulence, or antibiotic resistance genes in A. baumannii
Regulatory Network Disruption:
Identifying critical nodes in ACIAD1391's regulatory network could reveal novel drug targets
Small molecules designed to disrupt these regulatory interactions could inhibit bacterial adaptation to the host environment
Subunit Vaccine Development:
Future Research Directions:
| Research Focus | Approach | Potential Impact |
|---|---|---|
| Structure-function analysis | Determine ACIAD1391 crystal structure | Enable structure-based drug design |
| Target identification | Identify critical RNAs regulated by ACIAD1391 | Develop targeted antisense therapies |
| Drug screening | Screen for molecules that disrupt ACIAD1391 function | Identify lead compounds for drug development |
| Delivery systems | Develop nanoparticles for antisense oligonucleotide delivery | Improve targeting to infection sites |
The development of nuclease-resistant analogs of regulatory RNAs (like LNA/DNA hybrid oligomers) conjugated with cell-penetrating peptides has shown promising results in preliminary studies and represents a viable direction for therapeutic development based on ACIAD1391 research.