Acetyl-coenzyme A synthetase (acs) is an enzyme that catalyzes the conversion of acetate into acetyl-CoA, a crucial intermediate in both anabolic and catabolic pathways. This enzyme plays a pivotal role in the metabolism of various organisms, including bacteria like Photorhabdus luminescens subsp. laumondii. The recombinant form of this enzyme from Photorhabdus luminescens subsp. laumondii is of particular interest due to its potential applications in metabolic engineering and biotechnology.
Acetyl-coenzyme A synthetase is essential for converting acetate into acetyl-CoA, which is then used in various metabolic pathways such as the citric acid cycle, fatty acid synthesis, and the biosynthesis of secondary metabolites. In bacteria, this enzyme helps in utilizing acetate as a carbon source, which is vital for growth and survival under certain conditions.
The recombinant form of acetyl-coenzyme A synthetase from Photorhabdus luminescens subsp. laumondii is engineered to enhance metabolic pathways in host organisms. This enzyme can be expressed in other bacteria like Escherichia coli to improve the production of valuable compounds by optimizing acetate assimilation pathways.
In metabolic engineering, recombinant acetyl-coenzyme A synthetase can be used to enhance the production of secondary metabolites by increasing the availability of acetyl-CoA, a key precursor. For example, in the production of flavonoids, acetyl-CoA is converted into malonyl-CoA, which is then used in the biosynthesis of flavanones .
| Compound | Baseline Production (mg/L) | Enhanced Production (mg/L) | Increase (%) |
|---|---|---|---|
| Pinocembrin | 30 | 429 | 1,330% |
| Naringenin | 45 | 119 | 164% |
| Eriodictyol | 14 | 52 | 271% |
Note: These values are based on studies involving the optimization of metabolic pathways for flavonoid production in Escherichia coli, which may involve similar enzymes and pathways .
| Organism | Acetyl-CoA Synthetase Activity | Role in Metabolism |
|---|---|---|
| Photorhabdus luminescens | Converts acetate to acetyl-CoA | Essential for acetate utilization |
| Escherichia coli | Similar function | Key in fatty acid and secondary metabolite biosynthesis |
Function: Acetyl-CoA synthetase (ACS) catalyzes the conversion of acetate to acetyl-CoA (AcCoA), a crucial intermediate in anabolic and catabolic pathways. This two-step reaction involves the formation of an acetyl-adenylate (AcAMP) intermediate, followed by acetyl group transfer to CoA-SH, yielding AcCoA. This enzyme enables acetate utilization during aerobic growth, supporting energy generation via the TCA cycle and biosynthesis through the glyoxylate shunt. ACS also acetylates CheY, a response regulator in flagellar movement and chemotaxis.
KEGG: plu:plu0074
STRING: 243265.plu0074
Photorhabdus luminescens is a Gram-negative bioluminescent bacterium with a complex lifecycle that includes both pathogenic and mutualistic phases. It forms a symbiotic relationship with nematodes from the family Heterorhabditis while also being highly virulent to insect larvae .
Acetyl-coenzyme A synthetase (ACS) in P. luminescens plays a critical role in central metabolism by catalyzing the formation of acetyl-CoA from acetate, ATP, and coenzyme A. This reaction is fundamental as acetyl-CoA serves as a key metabolic intermediate connecting several pathways including:
The tricarboxylic acid (TCA) cycle
Amino acid metabolism
Fatty acid metabolism
The enzyme operates through a two-step mechanism: first forming an acetyl-adenylate intermediate, followed by reaction with coenzyme A to form acetyl-CoA while releasing AMP .
The TCA cycle in P. luminescens appears to play a central role in the bacterium's ability to transition between pathogenic and mutualistic lifestyles. Research has demonstrated that interruptions in the TCA cycle can selectively impact these different aspects of P. luminescens biology:
Mutations in TCA cycle enzymes, such as malate dehydrogenase (mdh), specifically impair secondary metabolism and mutualistic capabilities while leaving pathogenic functions intact
The TCA cycle appears to act as a metabolic switch that regulates lifestyle decisions in P. luminescens
While specific expression systems for P. luminescens ACS aren't detailed in the provided search results, effective expression of functionally related ACS enzymes provides guidance for researchers:
| Expression System | Advantages | Considerations |
|---|---|---|
| E. coli BL21(DE3) | High yield, well-established protocols, genetic similarity to P. luminescens | May require codon optimization for rare codons |
| E. coli Arctic Express | Enhanced folding at lower temperatures, suitable for potentially toxic enzymes | Slower growth, may have lower yields |
| Bacillus subtilis | Beneficial for secreted enzymes, lack of endotoxins | Different codon usage may require optimization |
| Insect cell lines | Post-translational modifications, potential for higher activity | More expensive, complex media requirements |
Expression optimization should include various parameters such as temperature, inducer concentration, and media composition. For functional studies, tags like 6xHis or Strep-tag II can be incorporated to facilitate purification while preserving enzymatic activity.
Engineering the substrate specificity of ACS enzymes through site-directed mutagenesis has been successfully demonstrated with related enzymes. The methodology involves:
Computational modeling: Create a structural model of P. luminescens ACS based on homologous enzymes with known tertiary structures
Binding pocket identification: Identify residues that form the carboxylate binding pocket, which determines substrate specificity
Targeted mutagenesis: Systematically substitute specific residues to alter the size and physico-chemical properties of the binding pocket
Functional validation: Test the mutant enzymes for altered substrate preferences using enzymatic assays
Research with related ACS enzymes has demonstrated that targeted modification of as few as four specific residues can dramatically shift substrate specificity from exclusively acetate to longer-chain carboxylates (up to hexanoate) or branched substrates like methylvalerate . This approach allows rational design of new biocatalysts without requiring experimentally determined tertiary structures of the target enzyme .
Acetyl-CoA synthetase likely plays a significant role in P. luminescens secondary metabolism by providing acetyl-CoA, a crucial building block for numerous secondary metabolites. The connectivity between primary and secondary metabolism in P. luminescens is particularly evident in:
Stilbene production: P. luminescens produces 3,5-dihydroxy-4-isopropylstilbene (ST), an antibiotic that requires acetyl-CoA for biosynthesis. The biosynthetic pathway involves:
Regulation by global factors: Secondary metabolism in P. luminescens is controlled by global regulators including:
Metabolic switching: Acetyl-CoA sits at a junction between primary metabolism and specialized secondary metabolism. The TCA cycle status influences this metabolic switching, as evidenced by the mdh mutant which cannot produce secondary metabolites .
The connection between ACS activity and specialized metabolite production makes it a potential target for engineering enhanced production of valuable compounds.
P. luminescens employs complex regulatory networks that influence metabolic enzyme expression and activity, including ACS. Key regulatory mechanisms include:
Growth phase-dependent regulation: Secondary metabolism in P. luminescens is tightly linked to growth phase, with most secondary metabolites being produced during the post-exponential phase . ACS activity is likely regulated in a similar manner to support this metabolic shift.
Global regulators:
Quorum sensing:
Nutritional signals:
A comprehensive understanding of these regulatory mechanisms provides opportunities to manipulate ACS expression for enhanced production of valuable metabolites or to study metabolic flux control.
Several complementary techniques can be employed to comprehensively characterize recombinant P. luminescens ACS activity:
Spectrophotometric coupled assays:
Measure AMP production by coupling to additional enzymes (adenylate kinase and pyruvate kinase)
Monitor NADH oxidation at 340 nm as a proxy for ACS activity
Advantages: Real-time kinetics, high-throughput capability
Limitations: Potential interference from coupling enzymes
Direct product analysis:
HPLC quantification of acetyl-CoA formation
LC-MS/MS for precise identification and quantification
Advantages: Direct measurement, specificity
Limitations: More time-consuming, requires specialized equipment
Isotope-based methods:
Use [14C]-labeled acetate or [32P]-ATP to track substrate conversion
Measure incorporation of radiolabel into products
Advantages: High sensitivity, ability to track metabolic fate
Limitations: Radiation hazards, specialized disposal requirements
Pyrophosphate release assays:
Measure PPi release using pyrophosphatase and a colorimetric phosphate detection system
Advantages: Simple, adaptable to microplate format
Limitations: Indirect measurement
For kinetic characterization, systematic variation of substrate concentrations (acetate, ATP, and CoA) should be performed while monitoring initial reaction rates to determine key parameters (Km, Vmax, kcat) using appropriate enzyme kinetic models.
Metabolic flux analysis (MFA) offers powerful approaches to understand how ACS influences carbon flow through P. luminescens metabolic networks:
13C-MFA methodology:
Culture P. luminescens with 13C-labeled substrates (e.g., [1-13C]acetate, [U-13C]glucose)
Harvest cells at defined time points
Extract and analyze isotope enrichment patterns in metabolites using GC-MS or LC-MS
Calculate flux distributions using computational models
Key experimental design considerations:
Compare wild-type with ACS knockout or overexpression strains
Analyze flux during different growth phases (exponential vs. post-exponential)
Examine effects of environmental perturbations (oxygen levels, carbon sources)
Target metabolites for analysis:
TCA cycle intermediates (citrate, succinate, malate)
Amino acids derived from acetyl-CoA
Fatty acids and lipids
Secondary metabolite precursors
Computational approaches:
Use isotopomer balancing and metabolic network models
Incorporate transcriptomic and proteomic data for comprehensive analysis
Perform sensitivity analysis to identify key control points
MFA studies with P. luminescens would be particularly valuable to understand how metabolic flux redistributes during the transition from pathogenesis to mutualism, and how ACS activity influences this metabolic switch. This approach could reveal how the TCA cycle acts as a metabolic sensor that determines lifestyle decisions in this bacterium .
Comparative analysis of P. luminescens ACS with homologous enzymes provides insights into its unique characteristics:
| Organism | Key Structural Features | Substrate Specificity | Regulatory Mechanisms |
|---|---|---|---|
| P. luminescens | Presumed conserved AMP-binding domain | Primarily acetate | Likely growth phase-dependent |
| E. coli | Well-characterized tertiary structure | Acetate-specific | Post-translational acetylation |
| Pseudomonas chlororaphis | Modified binding pocket | Accepts branched substrates (isobutyrate) | Less characterized |
| Arabidopsis thaliana | Plant-specific features | Highly acetate-specific | Regulated by metabolic state |
While the specific structural features of P. luminescens ACS haven't been experimentally determined, computational modeling using homologous enzymes as templates can predict its structure with reasonable accuracy . Such models suggest that, like other ACS enzymes, the carboxylate binding pocket would determine substrate specificity, and targeted mutations could potentially alter this specificity .
The reaction mechanism is conserved across ACS enzymes, involving:
Understanding these similarities and differences facilitates rational enzyme engineering and provides evolutionary insights.
Obtaining high-quality crystals of recombinant P. luminescens ACS for X-ray crystallography presents several challenges:
Protein stability issues:
ACS enzymes often have flexible domains that move during catalysis
This conformational heterogeneity can inhibit crystal formation
Solution: Consider co-crystallization with substrates, products, or substrate analogs to stabilize specific conformations
Purification challenges:
Membrane association may require careful detergent selection
Aggregation propensity at high concentrations needed for crystallization
Solution: Screen multiple buffer conditions and additives that promote monodispersity
Crystal optimization strategies:
Employ surface entropy reduction (SER) by mutating surface-exposed lysine and glutamate residues
Use truncation constructs removing flexible regions
Try fusion proteins like T4 lysozyme to provide crystal contacts
Alternative structural approaches:
Cryo-electron microscopy for proteins recalcitrant to crystallization
NMR for dynamic structural analysis of smaller domains
Small-angle X-ray scattering (SAXS) for envelope structure in solution
While no specific crystallization reports for P. luminescens ACS appear in the search results, computational modeling based on related structures offers a viable alternative for understanding structure-function relationships .
Recombinant P. luminescens ACS offers several applications in metabolic engineering:
Enhanced production of natural products:
Expanding substrate scope through enzyme engineering:
Structural redesign of the carboxylate binding pocket can create enzymes that activate alternative carboxylic acids
This approach enables incorporation of non-natural building blocks into polyketides and other acetyl-CoA-derived products
Successful examples include engineering ACS to accept longer-chain (hexanoate) or branched (methylvalerate) substrates
Pathway optimization strategies:
Co-expression with other key enzymes to create artificial metabolic channels
Fine-tuning expression levels to balance pathway flux
Coupling to NADPH-regenerating systems for sustained activity
Integration with regulatory engineering:
These applications could lead to improved production systems for antibiotics, insecticides, and other bioactive compounds naturally produced by P. luminescens or engineered pathway products.
Heterologous expression of P. luminescens ACS can significantly impact host cell metabolism in several ways:
Understanding these effects is crucial for optimizing expression systems and harnessing the full potential of recombinant P. luminescens ACS for biotechnological applications.
Investigating ACS function during P. luminescens lifecycle stages requires specialized techniques:
Genetic approaches:
Creation of conditional knockdowns using inducible antisense RNA
CRISPR interference (CRISPRi) for tunable gene repression
Fluorescent transcriptional reporters to monitor expression dynamics
Challenge: Maintaining genetic stability of manipulated strains, as demonstrated by difficulties in obtaining stable hexA knockouts
In vivo activity measurements:
Isotope tracing experiments during insect infection and nematode colonization
Development of activity-based protein profiling probes specific for ACS
Metabolomics comparison of wild-type and ACS-modified strains during lifecycle transitions
Lifecycle-specific considerations:
Methods for isolating bacteria from different stages (insect hemolymph vs. nematode gut)
Co-culturing systems with nematode hosts to simulate mutualistic phase
Insect infection models for pathogenic phase studies
Integration with global analyses:
Quantitative proteomics to measure ACS abundance across lifecycle stages
RNA-seq for transcriptional profiling
Chromatin immunoprecipitation (ChIP) to identify regulatory factors controlling ACS expression
These approaches would be particularly valuable in understanding how ACS contributes to the metabolic switch between pathogenesis and mutualism, a transition that appears to be regulated through TCA cycle function .
Systems biology offers powerful frameworks to understand ACS's role in P. luminescens metabolism:
Genome-scale metabolic modeling:
Construction of a comprehensive metabolic network incorporating ACS reactions
Flux balance analysis to predict metabolic states under different conditions
In silico gene knockout simulations to predict phenotypic consequences
Integration of transcriptomic and proteomic data to create context-specific models
Multi-omics integration strategies:
Correlation analysis between transcriptome, proteome, and metabolome datasets
Time-course experiments capturing dynamic responses to environmental changes
Network analysis to identify regulatory hubs connecting ACS to other metabolic processes
Key biological questions addressable through systems approaches:
How acetyl-CoA availability influences secondary metabolite production
Metabolic rewiring during transition between pathogenic and mutualistic lifestyles
Identification of bottlenecks in metabolic pathways that could be engineering targets
Experimental validation methods:
Targeted metabolomics focusing on acetyl-CoA-dependent pathways
Isotope labeling experiments to validate predicted flux distributions
Creation of synthetic gene circuits to test hypothesized regulatory mechanisms
These integrative approaches would help contextualize how ACS functions as part of the broader metabolic network that enables P. luminescens to navigate its complex lifecycle involving both pathogenic and mutualistic interactions .