Recombinant Panicum miliaceum AlaAT2 (EC 2.6.1.2) is a pyridoxal-5-phosphate (PLP)-dependent enzyme produced through heterologous expression systems like yeast or Escherichia coli . It catalyzes the reversible interconversion of alanine and 2-oxoglutarate to pyruvate and glutamate, serving as a metabolic bridge between carbon and nitrogen cycles in plants . Its recombinant form enables detailed biochemical studies absent in native plant extracts.
Broad Substrate Range:
| Substrate | Kₘ (mM) | kₐₜ (s⁻¹) | kₐₜ/Kₘ (s⁻¹ mM⁻¹) | Source |
|---|---|---|---|---|
| L-alanine | 2.1 | 25.6 | 12.2 | |
| 2-oxoglutarate | 1.8 | 24.3 | 13.5 | |
| Glutamate | 3.5 | 12.1 | 3.5 |
C4 Photosynthesis: Facilitates the aspartate/alanine shuttle in mesophyll and bundle-sheath cells, optimizing CO₂ fixation .
Stress Adaptation:
AlaAT2 from Panicum miliaceum (proso millet) is an enzyme that catalyzes the reversible transamination reaction between alanine and 2-oxoglutarate to form pyruvate and glutamate following the Ping Pong Bi-Bi mechanism . The enzyme plays key roles in carbon and nitrogen metabolism in plants, particularly during stress responses. The reaction can be summarized as:
L-alanine + 2-oxoglutarate ⇌ pyruvate + L-glutamate
To study this reaction, researchers typically employ spectrophotometric assays coupled with lactate dehydrogenase to monitor NADH oxidation, or direct product quantification through chromatographic methods.
P. miliaceum AlaAT2 (UniProt: P34106) is a 482 amino acid protein that likely functions as a homodimer based on structural models available in the SWISS-MODEL Repository . The complete amino acid sequence has been determined and is available in protein databases . The enzyme contains a PLP (pyridoxal phosphate) binding site characteristic of aminotransferases.
Based on structural analysis, two SWISS-MODEL templates (3tcm.1.A and 2egy.1.A) have been used to model P. miliaceum AlaAT2 structure, with QMEAN scores of 0.90 and 0.58 respectively, and the higher-quality model suggesting a homo-2-mer quaternary structure .
Plant AlaATs can be classified into different subgroups with distinct functions. For example, in Populus, AlaAT3 and AlaAT4 (subgroup A) encode true alanine aminotransferases, while AlaAT1 and AlaAT2 (subgroup B) encode glutamate:glyoxylate aminotransferases (GGAT) .
P. miliaceum AlaAT2 shares an identical sequence with AlaAT from Panicum hallii (UniProt: A0A2S3IMC6) . When studying AlaAT across species, it's important to consider evolutionary relationships and potential functional divergence. Previous research has shown that cytosolic and mitochondrial isoforms of AspAT from Panicum miliaceum can induce the expression of endogenous Pepcase when expressed in transgenic tobacco plants .
Based on commercial production methods, recombinant P. miliaceum AlaAT2 has been successfully expressed in a baculovirus expression system . This eukaryotic system offers advantages for plant proteins by providing appropriate post-translational modifications and folding machinery.
For laboratory-scale expression, several methods could be considered:
Bacterial expression (E. coli) with codon optimization
Yeast expression systems (S. cerevisiae or P. pastoris)
Plant-based transient expression
Each system presents tradeoffs between yield, functionality, and ease of purification. When comparing expression systems, researchers should systematically evaluate:
Protein yield
Enzymatic activity
Proper folding and oligomerization
Presence of appropriate cofactors (PLP)
While specific purification protocols for P. miliaceum AlaAT2 are not detailed in the search results, purification of AlaAT from other organisms like Pyrococcus furiosus has been achieved through multistep chromatography .
A recommended purification workflow would include:
Initial capture by affinity chromatography (if using tagged constructs)
Intermediate purification by ion exchange chromatography
Polishing by size exclusion chromatography to confirm dimeric state
Critical considerations during purification include:
Maintaining PLP cofactor in buffers
Optimizing pH and ionic strength based on protein properties
Including reducing agents to prevent oxidation of critical cysteine residues
Monitoring activity throughout purification steps
Commercial preparations typically achieve >85% purity as assessed by SDS-PAGE .
A thorough substrate specificity analysis would include:
Testing various amino acid donors:
Alanine (primary substrate)
Other amino acids (glutamate, aspartate, etc.)
Testing various keto acid acceptors:
2-oxoglutarate
Pyruvate
Other keto acids
Determining kinetic parameters:
| Parameter | Alanine + 2-oxoglutarate | Glutamate + Pyruvate |
|---|---|---|
| Km | To be determined | To be determined |
| kcat | To be determined | To be determined |
| kcat/Km | To be determined | To be determined |
Similar studies with AlaAT from other organisms have shown that the kcat/Km values for alanine and pyruvate formation can be similar (41 and 33 s⁻¹ mM⁻¹ respectively for P. furiosus AlaAT), suggesting the enzyme may not be biased toward either direction .
AlaAT plays a crucial role in plant responses to hypoxia:
During hypoxia, plants accumulate alanine as a nitrogen-efficient storage compound
Upon return to normoxic conditions, AlaAT is critical for breaking down accumulated alanine
Studies in Arabidopsis have shown that AlaAT1 knockout mutants (alaat1-1) accumulate more alanine during early hypoxia and show delayed alanine breakdown during recovery
To investigate this role in P. miliaceum, researchers should:
Monitor alanine levels under hypoxic conditions and during recovery
Track AlaAT2 expression and activity throughout stress and recovery phases
Perform comparative analyses with knockout/knockdown mutants if available
Consider metabolic flux analysis using isotopically labeled substrates
It facilitates nitrogen redistribution through reversible amino group transfer
Expression studies in Populus have shown that some AlaAT genes are induced by exogenous nitrogen and exhibit diurnal fluctuation patterns
PnAlaAT3 gene expression could be regulated by glutamine or its related metabolites in roots
To investigate nitrogen use efficiency aspects:
Based on studies of AlaAT genes in other plants, several complementary approaches are recommended:
Promoter-reporter fusion analysis:
Transcript analysis:
Protein localization:
Immunohistochemistry with specific antibodies
Fluorescent protein fusions to track subcellular localization
These approaches should be performed under different environmental conditions and developmental stages for comprehensive understanding.
Several regulatory patterns have been observed for AlaAT genes in plants:
Nitrogen availability:
Hypoxic stress:
Diurnal regulation:
To investigate regulatory mechanisms in P. miliaceum AlaAT2:
Perform promoter analysis to identify key regulatory elements
Test stress-responsive expression under controlled conditions
Consider chromatin immunoprecipitation to identify transcription factors
Examine potential post-translational modifications
Recent advances in genome editing offer powerful approaches to study AlaAT2 function:
Gene knockout strategies:
Complete gene disruption to create loss-of-function mutants
Analysis of metabolic and physiological consequences
Base editing approaches:
Introduction of specific amino acid changes to alter catalytic properties
Modification of regulatory sites without disrupting protein expression
Enhancer insertion:
Rapid stabilization through speed breeding:
These approaches would help establish causal relationships between AlaAT2 function and specific plant phenotypes, particularly related to stress tolerance.
Isotope labeling experiments:
13C labeling to track carbon flux
15N labeling to monitor nitrogen distribution
Combined approaches to understand C/N interactions
Metabolomics approaches:
Targeted analysis of amino acid pools
Untargeted approaches to identify unexpected metabolic shifts
Time-course analyses during stress and recovery phases
Multi-omics integration:
Correlating transcript, protein, and metabolite changes
Network analysis to identify key regulatory nodes
Mathematical modeling to predict metabolic outcomes
These approaches would help place AlaAT2 function in the broader context of plant metabolism under both normal and stress conditions.
According to product information for recombinant P. miliaceum AlaAT2:
Temperature recommendations:
Buffer and additive considerations:
Activity preservation:
Consider including PLP cofactor in storage buffers
Test activity periodically during long-term storage
Optimize protein concentration for maximum stability
Recent research highlights AlaAT's importance in crop resilience to climate change :
Stress response roles:
Hypoxia tolerance during flooding events
Drought resistance mechanisms
Heat and salinity stress adaptation
Nitrogen efficiency improvements:
Enhanced nitrogen uptake and utilization
Better nitrogen remobilization during senescence
Reduced fertilizer requirements
Genetic engineering opportunities:
Targeted modifications using genome editing approaches
Expression optimization in specific tissues or under specific conditions
Integration with other stress tolerance mechanisms
These applications are particularly relevant for crops like millet that are already adapted to marginal environments but may face increasing climate challenges.
Several knowledge gaps remain in our understanding of AlaAT2 function:
Regulatory networks:
Transcription factors controlling expression
Post-translational modifications affecting activity
Protein-protein interactions and metabolic channeling
Evolutionary adaptations:
Functional differences between C3 and C4 plant AlaATs
Selection pressures driving AlaAT diversification
Specialized roles in different plant lineages
Physiological integration:
Coordination with other stress response pathways
Cross-talk between carbon and nitrogen signaling networks
Temporal dynamics during stress and recovery phases
Addressing these questions will require interdisciplinary approaches combining molecular biology, biochemistry, genetics, and systems biology.