Rubisco is slow across the tree of life

  • Benoit de Pins
  • , Cyril Malbranke
  • , Jagoda Jabłońska
  • , Assaf Shmuel
  • , Itai Sharon
  • , Anne Florence Bitbol
  • , Oliver Mueller-Cajar
  • , Elad Noor
  • , Ron Milo

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Rubisco is the main gateway through which inorganic carbon enters the biosphere, catalyzing the vast majority of carbon fixation on Earth. This pivotal enzyme has long been observed to be kinetically constrained. Yet, this impression is based on kinetic measurements heavily focused on eukaryotic rubiscos, a rather conserved group of low genetic diversity. Moreover, the fastest rubiscos that we know of so far were found among the sparsely sampled prokaryotes. Could there be yet faster rubiscos among the uncharted regions of rubisco’s phylogenetic diversity? Here, we perform a characterization of more than 250 rubiscos from a wide range of bacteria and archaea, thereby doubling the coverage of the diversity of this key enzyme. We assess the distribution of the carboxylation rates at saturating levels of CO2, and establish that rubisco is a relatively slow enzyme across the tree of life, never exceeding ≈30 reactions per second at 30 °C. We show that relatively faster subclades share similar evolutionary contexts, involving micro-oxygenic environments or a CO2 concentrating mechanism. Leveraging a simple machine learning model trained on this dataset, we predict the carboxylation rate for all ≈68,000 sequenced rubisco variants found in nature to date. This study provides the largest and most diverse dataset of natural variants for an enzyme and their associated rates, establishing a solid benchmark for future efforts to predict catalytic rates from sequence data.

Original languageEnglish
Article numbere2501433122
JournalProceedings of the National Academy of Sciences of the United States of America
Volume122
Issue number47
DOIs
StatePublished - 25 Nov 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
Copyright © 2025 the Author(s). Published by PNAS.

Keywords

  • carbon fixation
  • kinetics
  • rate prediction
  • rubisco

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