Trajectories for the evolution of bacterial CO 2 -concentrating mechanisms
Cyanobacteria rely on CO -concentrating mechanisms (CCMs) to grow in today's atmosphere (0.04% CO ). These complex physiological adaptations require ≈15 genes to produce two types of protein complexes: inorganic carbon (Ci) transporters and 100+ nm carboxysome compartments that encapsulate rubi...
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Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2022-12, Vol.119 (49), p.e2210539119 |
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Sprache: | eng |
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Zusammenfassung: | Cyanobacteria rely on CO
-concentrating mechanisms (CCMs) to grow in today's atmosphere (0.04% CO
). These complex physiological adaptations require ≈15 genes to produce two types of protein complexes: inorganic carbon (Ci) transporters and 100+ nm carboxysome compartments that encapsulate rubisco with a carbonic anhydrase (CA) enzyme. Mutations disrupting any of these genes prohibit growth in ambient air. If any plausible ancestral form-i.e., lacking a single gene-cannot grow, how did the CCM evolve? Here, we test the hypothesis that evolution of the bacterial CCM was "catalyzed" by historically high CO
levels that decreased over geologic time. Using an
reconstitution of a bacterial CCM, we constructed strains lacking one or more CCM components and evaluated their growth across CO
concentrations. We expected these experiments to demonstrate the importance of the carboxysome. Instead, we found that partial CCMs expressing CA or Ci uptake genes grew better than controls in intermediate CO
levels (≈1%) and observed similar phenotypes in two autotrophic bacteria,
and
. To understand how CA and Ci uptake improve growth, we model autotrophy as colimited by CO
and HCO
, as both are required to produce biomass. Our experiments and model delineated a viable trajectory for CCM evolution where decreasing atmospheric CO
induces an HCO
deficiency that is alleviated by acquisition of CA or Ci uptake, thereby enabling the emergence of a modern CCM. This work underscores the importance of considering physiology and environmental context when studying the evolution of biological complexity. |
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ISSN: | 0027-8424 1091-6490 |
DOI: | 10.1073/pnas.2210539119 |