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Phosphoglycolate phosphatase is a metabolic proofreading enzyme essential for cellular function in Plasmodium berghei.

Lakshmeesha Kempaiah NagappaPardhasaradhi SathaThimmaiah GovindarajuHemalatha Balaram
Published in: The Journal of biological chemistry (2019)
Plasmodium falciparum (Pf) 4-nitrophenylphosphatase has been shown previously to be involved in vitamin B1 metabolism. Here, conducting a BLASTp search, we found that 4-nitrophenylphosphatase from Pf has significant homology with phosphoglycolate phosphatase (PGP) from mouse, human, and yeast, prompting us to reinvestigate the biochemical properties of the Plasmodium enzyme. Because the recombinant PfPGP enzyme is insoluble, we performed an extended substrate screen and extensive biochemical characterization of the recombinantly expressed and purified homolog from Plasmodium berghei (Pb), leading to the identification of 2-phosphoglycolate and 2-phospho-L-lactate as the relevant physiological substrates of PbPGP. 2-Phosphoglycolate is generated during repair of damaged DNA ends, 2-phospho-L-lactate is a product of pyruvate kinase side reaction, and both potently inhibit two key glycolytic enzymes, triosephosphate isomerase and phosphofructokinase. Hence, PGP-mediated clearance of these toxic metabolites is vital for cell survival and functioning. Our results differ significantly from those in a previous study, wherein the PfPGP enzyme has been inferred to act on 2-phospho-D-lactate and not on the L isomer. Apart from resolving the substrate specificity conflict through direct in vitro enzyme assays, we conducted PGP gene knockout studies in P. berghei, confirming that this conserved metabolic proofreading enzyme is essential in Plasmodium In summary, our findings establish PbPGP as an essential enzyme for normal physiological function in P. berghei and suggest that drugs that specifically inhibit Plasmodium PGP may hold promise for use in anti-malarial therapies.
Keyphrases
  • plasmodium falciparum
  • high throughput
  • dna methylation
  • genome wide
  • transcription factor
  • machine learning
  • single molecule
  • pluripotent stem cells