Rubisco assimilates CO2 to form the sugars that fuel life on earth. Correlations between rubisco kinetic traits across species have led to the proposition that rubisco adaptation is highly constrained by catalytic trade-offs. However, these analyses did not consider the phylogenetic context of the enzymes that were analysed. Thus, it is possible that the correlations observed were an artefact of the presence of phylogenetic signal in rubisco kinetics and the phylogenetic relationship between the species that were sampled. Here, we conducted a phylogenetically-resolved analysis of rubisco kinetics and show that there is a significant phylogenetic signal in rubisco kinetic traits. We re-evaluated the extent of catalytic trade-offs accounting for this phylogenetic signal and found that all were attenuated. Following phylogenetic correction, the largest catalytic trade-offs were observed between the Michaelis constant for CO2 and carboxylase turnover (∼21-37%), and between the Michaelis constants for CO2 and O2 (∼9-19%), respectively. All other catalytic trade-offs were substantially attenuated such that they were marginal (<9%) or non-significant. This phylogenetically resolved analysis of rubisco kinetic evolution also identified kinetic changes that occur concomitant with the evolution of C4 photosynthesis. Finally, we show that phylogenetic constraints have played a larger role than catalytic trade-offs in limiting the evolution of rubisco kinetics. Thus, although there is strong evidence for some catalytic trade-offs, rubisco adaptation has been more limited by phylogenetic constraint than by the combined action of all such trade-offs.
C4 photosynthesis is a complex trait that boosts productivity in warm environments. Paradoxically, it evolved independently in numerous plant lineages, despite requiring specialised leaf anatomy. The anatomical modifications underlying C4 evolution have previously been evaluated through interspecific comparisons, which capture numerous changes besides those needed for C4 functionality. Here, we quantify the anatomical changes accompanying the transition between non‐C4 and C4 phenotypes by sampling widely across the continuum of leaf anatomical traits in the grass Alloteropsis semialata. Within this species, the only trait that is shared among and specific to C4 individuals is an increase in vein density, driven specifically by minor vein development that yields multiple secondary effects facilitating C4 function. For species with the necessary anatomical preconditions, developmental proliferation of veins can therefore be sufficient to produce a functional C4 leaf anatomy, creating an evolutionary entry point to complex C4 syndromes that can become more specialised.
Rubisco is the primary entry point for carbon into the biosphere. It has been widely proposed that rubisco is highly constrained by catalytic trade-offs due to correlations between the enzyme's kinetic traits across species. In previous work, we have shown that these correlations, and thus the strength of catalytic trade-offs, have been over-estimated due to the presence of phylogenetic signal in the kinetic trait data (Bouvier et al., 2021). We demonstrated that only canonical trade-offs between the Michaelis constant for CO2 and carboxylase turnover, and between the Michaelis constants for CO2 and O2 were robust to phylogenetic effects. We further demonstrated that phylogenetic constraints have limited rubisco adaptation to a greater extent than the combined action of catalytic trade-offs. Recently, however, our claims have been contested by Tcherkez and Farquhar (2021), who have argued that the phylogenetic signal we detect in rubisco kinetic traits is an artefact of species sampling, the use of rbcL-based trees for phylogenetic inference, laboratory-to-laboratory variability in kinetic measurements, and homoplasy of the C4 trait. In the present article, we respond to these criticisms on a point-by-point basis and conclusively show that all are either incorrect or invalid. As such, we stand by our original conclusions. Specifically, the magnitude of rubisco catalytic trade-offs have been overestimated in previous analyses due to phylogenetic biases, and rubisco kinetic evolution has in fact been more limited by phylogenetic constraint.
Rubisco assimilates CO2 to form the sugars that fuel life on Earth. Although rubisco is the source of most carbon in the biosphere, it is a surprisingly inefficient catalyst with a modest carboxylase turnover rate and a competing oxygenase activity which results in the loss of fixed CO2. These apparent shortcomings of rubisco present a puzzling evolutionary paradox: why does the enzyme appear well suited to the high CO2 low O2 conditions of its origin, rather than the low CO2 high O2 conditions of the present day? To help answer this question, we perform a phylogenetically resolved analysis of the molecular and kinetic evolution of Form I rubisco. We discover that rubisco is among the slowest evolving genes on Earth. Specifically, we find that the rubisco catalytic large subunit evolves substantially slower than its cognate small subunit, and is slower than >98% of all other genes and enzymes across the tree of life. Next, through simultaneous analysis of rubisco molecular and kinetic evolution in C3 angiosperms, we demonstrate that despite its slow molecular evolution, rubisco kinetics have evolved, and are continuing to evolve, to improve CO2/O2 specificity, carboxylase turnover and overall carboxylation efficiency. Thus, slow molecular evolution has severely limited rubisco kinetic optimisation, resulting in the present enzyme that is poorly adapted for current conditions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.