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A map of the rubisco biochemical landscape.

Noam PrywesNaiya R PhillipsLuke M OltroggeSebastian LindnerYi-Chin Candace TsaiBenoit de PinsAidan E CowanLeah J Taylor-KearneyHana A ChangLaina N HallDaniel Bellieny-RabeloHunter M NisonoffRachel F WeissmanAvi I FlamholzDavid DingAbhishek Y BhattPatrick M ShihOliver Mueller-CajarRon MiloDavid F Savage
Published in: bioRxiv : the preprint server for biology (2024)
Rubisco is the primary CO 2 fixing enzyme of the biosphere yet has slow kinetics. The roles of evolution and chemical mechanism in constraining the sequence landscape of rubisco remain debated. In order to map sequence to function, we developed a massively parallel assay for rubisco using an engineered E. coli where enzyme function is coupled to growth. By assaying >99% of single amino acid mutants across CO 2 concentrations, we inferred enzyme velocity and CO 2 affinity for thousands of substitutions. We identified many highly conserved positions that tolerate mutation and rare mutations that improve CO 2 affinity. These data suggest that non-trivial kinetic improvements are readily accessible and provide a comprehensive sequence-to-function mapping for enzyme engineering efforts.
Keyphrases
  • amino acid
  • high density
  • escherichia coli
  • single cell
  • high resolution
  • transcription factor
  • electronic health record
  • machine learning
  • blood flow
  • data analysis
  • wild type