KEGG: cgb:cg3063
STRING: 196627.cg3063
PurA catalyzes the conversion of inosine monophosphate (IMP) to adenylosuccinate in the de novo purine biosynthesis pathway, a critical step for AMP synthesis. Its activity directly influences intracellular AMP/GMP ratios, which regulate nucleotide pools and downstream cellular processes like transcription and energy metabolism . Experimental validation involves:
Gene deletion studies: ΔpurA strains exhibit adenine auxotrophy and reduced AMP levels (Table 1) .
Metabolite profiling: Quantifying intermediates like IMP, AMP, and adenosine in mutants (e.g., ΔpurA vs. wild type) using HPLC or LC-MS .
Table 1: Intracellular purine intermediate concentrations in C. glutamicum strains (μmol/gCDW)
Compound | Wild Type | ΔpurA | ΔguaB2 |
---|---|---|---|
IMP | 0.82 | 0.91 | 0.75 |
AMP | 0.65 | 0.12 | 0.68 |
Adenine | 0.18 | 0.45 | 0.21 |
C. glutamicum offers:
Low protease activity: Reduces recombinant protein degradation .
Secretion efficiency: Properly folded proteins can be secreted extracellularly via signal peptides (e.g., cspB) .
Safety: GRAS (Generally Recognized As Safe) status and absence of endotoxins .
Methodologically, constitutive promoters (e.g., PsodA*) and auto-inducible systems (e.g., P₄−N₁₄) are optimized for stable expression .
Discrepancies in IMP/AMP levels between ΔpurA and ΔguaB2 mutants (Table 1) arise from:
Feedback regulation: AMP inhibits PurF (glutamine phosphoribosylpyrophosphate amidotransferase) .
Salvage pathway activation: ΔpurA strains compensate via adenine phosphoribosyltransferase (APT) .
To address this:
Use ¹³C metabolic flux analysis to quantify de novo vs. salvage pathway contributions.
Engineer dual mutants (e.g., ΔpurA ΔguaB2) to block competing pathways .
Advanced strain engineering involves:
Promoter optimization: Replace native purA promoter with strong constitutive/inducible variants (e.g., tac) .
Ribosome binding site (RBS) engineering: Modulate translation initiation efficiency via RBS libraries .
Multiplex deletions: Combine ΔpurA with Δpgi (phosphoglucose isomerase) to redirect carbon flux toward nucleotide precursors .
Key bottlenecks identified via RNA-seq and proteomics:
Resource competition: Recombinant PurA expression downregulates ribosomal proteins and ATP synthases, impairing growth .
Misfolding stress: Overexpression triggers chaperone upregulation (e.g., dnaK) .
Mitigation strategies:
Use fed-batch bioreactors to decouple growth and production phases .
To ensure data validity:
Internal standards: Spike stable isotope-labeled AMP/IMP during metabolite extraction .
Enzyme kinetics: Compare Kₘ and Vₘₐₓ of recombinant vs. native PurA using spectrophotometric assays .
Genetic controls: Include complemented strains (e.g., ΔpurA + plasmid-borne purA) to confirm phenotype reversibility .