Literature DB >> 29997647

Commentary: Directions for Optimization of Photosynthetic Carbon Fixation: RuBisCO's Efficiency May Not Be So Constrained After All.

Guillaume G Tcherkez1, Camille Bathellier1, Graham D Farquhar1, George H Lorimer2.   

Abstract

Entities:  

Keywords:  enzymatic activity; enzyme kinetics and specificity; isotope fractionation; rubisco; trade-offs

Year:  2018        PMID: 29997647      PMCID: PMC6030380          DOI: 10.3389/fpls.2018.00929

Source DB:  PubMed          Journal:  Front Plant Sci        ISSN: 1664-462X            Impact factor:   5.753


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Introduction

Ribulose 1,5-bisphosphate carboxylase/oxygenase (Rubisco, EC 4.1.1.39) catalyzes the fixation of CO2 and O2 onto ribulose 1,5-bisphosphate (RuBP) during photosynthesis and photorespiration, respectively. This enzyme is required by nearly all photosynthetic organisms and its expression, structure, and mechanism have been intensively studied, with the ultimate objective of engineering a more “efficient” enzyme (i.e., faster and more specific to CO2). The reaction proceeds via a step-wise mechanism whereby RuBP is converted to an enediolate and then CO2 is added and the resulting 6-carbon (carboxyketone) intermediate is hydrated and cleaved (Figure 1A). Nevertheless, our current understanding of the chemical mechanism is limited and thus best ways to optimize the rate of CO2 fixation or affinity for CO2 are not totally clear. Therefore, comparisons of Rubisco kinetics from different organisms have been used to infer general rules that dictate variations in turn-over for carboxylation (k), apparent Michaelis constant for CO2 (Kc), and specificity (Sc/o). In their recent paper, Cummins et al. (2018) looked at published kinetic constants for a range of photosynthetic organisms and using linear regressions, concluded that “dissociation constants” for CO2 and O2 (rate constants for decarboxylation and deoxygenation) were relatively high and break the generally assumed relationship between kcat and Sc/o. Despite substantial variation in the chemical strategies of Rubiscos from different taxonomic groups that may exist, we believe that this analysis misinterprets implicit relationships between Rubisco rate constants, and overlooks experimental evidence (Table 1) for feeble rates of deoxygenation and decarboxylation.
Figure 1

Relationship between Rubisco's turn-over rate for carboxylation (k) and the apparent Michaelis constant for CO2 (Kc) using the same dataset tabulated by (Cummins et al., 2018). (A) Formal representation of the mechanism for carboxylation, with rate constants mentioned in main text. (B) Representation of k against Kc using a linear scale on both axes. Steady-state kinetics are so that k = Kc·k6·c·Ke/[(1 + c)·(1 + Ke)] where Ke is enolization equilibrium constant k9/k10 and c is commitment to catalysis k8/k7 (Farquhar, 1979). It should be noted that k6 is not in s−1 but in μM−1 s−1 and thus not on the same scale for all organisms since it depends on prevailing subcellular CO2 concentration. The two linear models shown (blue and red lines) represent numerical examples of the relationship and assume that k6·[CO2] is fixed at 5 s−1 while k6 is subdivided into three domains of prevailing CO2 conditions varying with Kc (10, 50 and 100 μM). Calculations assume that enolization is efficient (Ke = 16, red) or poor (Ke = 1, blue) and that the commitment to catalysis is c = 95/5 = 19 (Lorimer et al., 1986).

Table 1

Direct evidence that the enolization equilibrium differs between Rubisco forms, and that decarboxylation and deoxygenation are negligible.

Questions raised by Cummins et al. (2018)Answer (yes/no)Experimental evidenceReferences
Is the decarboxylation rate of importance?No1. The partitioning (catalysis:decarboxylation) of the 6-carbon intermediate when it is fed to the enzyme has been shown to be at least 95:5.Lorimer et al., 1986
2. Should decarboxylation be substantial, we should observe a small 12C/13C kinetic isotope effect (13V/K) during carboxylation. In fact, 13V/K is given by αeq·(1 + 7)/(1 + c) where αeq is the equilibrium isotope effect of carboxylation, α7 is the kinetic isotope effect of decarboxylation and c the commitment to catalysis (c = k8b/k7). CO2 addition on sugars forming a ternary C atom favors 13C by about 3%0 so that αeq is about 0.997. A value of c = 1 gives a fractionation within 0.997-1.011 for possible values of α7 between 1 and 1.030 (feasible range for a 12C/13C kinetic isotope effect). It is therefore impossible to match the observed isotope effect in most organisms (13V/K ≈ 1.030 in higher plants) unless assuming extremely high values of the isotope effect for decarboxylation (about 1.070).O'Leary and Yapp, 1978; Roeske and O'Leary, 1984, 1985; Rishavy and Cleland, 1999
Is enolization variable and thus can KR (and γc) change a lot between Rubiscos?Yes1. A typical example is Rhodospirillum rubrum, which does not fit the empirical linearization used by Cummins et al. (2018). In fact, the intrinsic 1H/2H isotope effect (RuBP deuterated in H3) on maximal velocity (DV) when enolization becomes rate-limiting (at low pH) is clearly lower in R. rubrum than in spinach; in addition, the isotope effect at limiting RuBP (DV/K) is unity in R. rubrum but increases at low pH, contrary to what is observed in spinach. The enzyme of R. rubrum can also easily exchange the H3 proton with the solvent.Saver and Knowles, 1982; Van Dyk and Schloss, 1986
2. There are considerable differences in the ability to carboxylate xylulose-1,5-bisphosphate (C3 stereoisomer of RuBP) between higher plants, prokaryotes and red algae, showing that the mechanistic constraints on H3 abstraction and thus stereochemistry of enolization differ between Rubisco forms.Pearce, 2006
Is the deoxygenation rate of importance?No1. O2 addition forms a peroxide. In general, oxygenation to a peroxide is irreversible and thus deoxygenation of a peroxide is extremely unlikely.Frankvoort, 1978; Lorimer, 1981
2. Should the peroxide be deoxygenated, deoxygenation would not be the reverse of oxygenation because the spin-forbidden character of oxygenation requires excited chemical forms that are unlikely to be reformed. In practice, going backwards from the peroxide to the enediolate is strongly thermodynamically disfavored.Jonsson, 1996; Bathellier et al., 2018
3. As with 13C (above), the 16O/18O isotope effect during oxygenation (18V/K ≈ 1.021) indicates that an important commitment to deoxygenation is not credible.Guy et al., 1993
Relationship between Rubisco's turn-over rate for carboxylation (k) and the apparent Michaelis constant for CO2 (Kc) using the same dataset tabulated by (Cummins et al., 2018). (A) Formal representation of the mechanism for carboxylation, with rate constants mentioned in main text. (B) Representation of k against Kc using a linear scale on both axes. Steady-state kinetics are so that k = Kc·k6·c·Ke/[(1 + c)·(1 + Ke)] where Ke is enolization equilibrium constant k9/k10 and c is commitment to catalysis k8/k7 (Farquhar, 1979). It should be noted that k6 is not in s−1 but in μM−1 s−1 and thus not on the same scale for all organisms since it depends on prevailing subcellular CO2 concentration. The two linear models shown (blue and red lines) represent numerical examples of the relationship and assume that k6·[CO2] is fixed at 5 s−1 while k6 is subdivided into three domains of prevailing CO2 conditions varying with Kc (10, 50 and 100 μM). Calculations assume that enolization is efficient (Ke = 16, red) or poor (Ke = 1, blue) and that the commitment to catalysis is c = 95/5 = 19 (Lorimer et al., 1986). Direct evidence that the enolization equilibrium differs between Rubisco forms, and that decarboxylation and deoxygenation are negligible.

Simple linear regression is unlikely to be representative

It is common practice to use linear relationships between kinetic parameters in order to facilitate our understanding of the implicit linkage between rate constants of the mechanism. However, this technique is difficult to apply to Rubisco kinetics because no combination of experimentally accessible kinetic parameters (k, Kc, Sc/o) gives access to individual rate constants. Basically, Cummins et al. (2018) use the relationship Kc = (k + γck7)/KRk6 (where k6 and k7 are the rate constants associated with CO2 addition [carboxylation per se] and decarboxylation, respectively; γc is a complex parameter that integrates rate constants of enolization as well as hydration and cleavage) in order to find 1/KRk6 and γck7/KRk6 by linear regression across enzymes from a variety of photosynthetic organisms. As they recognize themselves, there is no linear relationship between Kc and k (replotted in Figure 1B). Therefore, they used either (i) a selection of points (typically, one taxonomic group) to minimize non-linearity or (ii) used a log-transformation with subsequent re-linearization by Taylor expansion. The first method gives a considerable range of values between taxonomic groups (negative or positive slope), and the second method disregards conditions of validity to perform a Taylor expansion (i.e. to neglect second-order terms). Computed coefficients 1/KRk6 and γck7/KRk6 are in fact very unlikely to be constant because: (i) KR directly depends on RuBP enolization equilibrium constant (Ke) since KR = Ke/(1 + Ke), which varies between Rubisco forms (Table 1); (ii) the rate constant for carboxylation (k6) and/or decarboxylation (k7) may vary between Rubisco forms; and (iii) γc comprises rate constants of enolization as well as hydration and cleavage. There is experimental evidence that hydration is a very efficient process, that is, the on-enzyme hydration equilibrium of the carboxyketone substantially favors the hydrated form (Lorimer et al., 1986). Furthermore, (stereo)chemical constraints on the mechanism indicate that CO2 addition and hydration may be concerted (Cleland et al., 1998). Mathematically, this means that γc must be a relatively small number, close to k/k8a where k8a denotes the rate constant associated with hydration [denoted as k7 in Cummins et al. (2018)]. Also, k can be rearranged to k9k8b/(k9 + k8b), making apparent the rate constant of enolization (k9). There is also direct evidence that the enolization equilibrium varies between Rubisco forms, and this probably contributes to explaining the non-linearity of the k/Kc relationship, as explained in Table 1 and (Tcherkez, 2013). In other words, the commitment to, and the transition state involved in enolization differ significantly between Rubisco forms such that the enolization equilibrium is an important variable in the landscape of Rubisco kinetic parameters, in addition to carboxylation (k6) and processing (k8).

Decarboxylation and deoxygenation are negligible in wild-type rubisco

Linear regressions carried out by Cummins et al. (2018) provide an estimate of γck7 (the product of γc and the decarboxylation rate constant, k7) which is found to be of the same order of magnitude (3–4 s−1) as k itself, meaning a low commitment of the enzyme to catalysis (k/γck7 ≈ 1). Such a high decarboxylation rate clearly contradicts experimental evidence (Table 1). We nevertheless recognize that mutant Rubisco forms can be impacted on decarboxylation, as we previously assumed in the L335V mutant to explain the typically low 12C/13C isotope effect on V/K (McNevin et al., 2007). Kinetic fitting of Rubisco velocity carried out by McNevin et al. (2006) suggested modest-to-high values of decarboxylation but these authors explicitly mentioned that computations were unable to give a reliable value, with no improvement of residuals whatever k7 may be. Deoxygenation is even less likely than decarboxylation for fundamental reasons summarized in Table 1.

Kinetic parameters are constrained by both chemistry and environment

Taken as a whole, while we recognize that the attempt of Cummins et al. (2018) is valuable in trying to extract implicit rate constants from readily observable kinetic parameters, we believe that concluding that decarboxylation and deoxygenation are quantitatively important is not plausible. Our assumption published in Tcherkez et al. (2006) that Rubisco's evolutionary strategy involves complementarity of the active site to the transition-state, referred to as “tight-binding hypothesis” by Cummins et al. (2018), does not necessarily include a preferential change in the rate constant for carboxylation (k6) instead of k7 (decarboxylation), contrary to their claim. Rubisco adaptive value integrates not only catalytic “efficiency” (k/Kc) but also specificity (Sc/o), in the prevailing environmental CO2/O2 conditions. Even in diatoms which show variation in Kc while having a rather constant k (Young et al., 2016), there is a relationship with CCM protein abundance and composition (such as the occurrence of carbonic anhydrase isoform δ) and thus subcellular CO2 concentrations (Young and Hopkinson, 2017) (see also Figure 1B). Also, it should be kept in mind that some residues of the active site are involved in several steps, such as R. rubrum Lys 166 which is involved in both enolization and hydration + cleavage, providing a chemical basis for the interdependence of kinetic parameters (Harpel et al., 2002). Therefore, the analysis described in Cummins et al. (2018) does not provide evidence that Rubisco kinetics are “not so constrained.”

Author contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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2.  Despite slow catalysis and confused substrate specificity, all ribulose bisphosphate carboxylases may be nearly perfectly optimized.

Authors:  Guillaume G B Tcherkez; Graham D Farquhar; T John Andrews
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-26       Impact factor: 11.205

3.  Determining RuBisCO activation kinetics and other rate and equilibrium constants by simultaneous multiple non-linear regression of a kinetic model.

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4.  Catalytic by-product formation and ligand binding by ribulose bisphosphate carboxylases from different phylogenies.

Authors:  F Grant Pearce
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5.  Equilibrium carbon isotope effect on a decarboxylation reaction.

Authors:  M H O'Leary; C J Yapp
Journal:  Biochem Biophys Res Commun       Date:  1978-01-13       Impact factor: 3.575

6.  Photosynthetic Fractionation of the Stable Isotopes of Oxygen and Carbon.

Authors:  R. D. Guy; M. L. Fogel; J. A. Berry
Journal:  Plant Physiol       Date:  1993-01       Impact factor: 8.340

7.  Differences in carbon isotope discrimination of three variants of D-ribulose-1,5-bisphosphate carboxylase/oxygenase reflect differences in their catalytic mechanisms.

Authors:  Dennis B McNevin; Murray R Badger; Spencer M Whitney; Susanne von Caemmerer; Guillaume G B Tcherkez; Graham D Farquhar
Journal:  J Biol Chem       Date:  2007-10-09       Impact factor: 5.157

8.  Carbon isotope effect on carboxylation of ribulose bisphosphate catalyzed by ribulosebisphosphate carboxylase from Rhodospirillum rubrum.

Authors:  C A Roeske; M H O'Leary
Journal:  Biochemistry       Date:  1985-03-26       Impact factor: 3.162

9.  Large variation in the Rubisco kinetics of diatoms reveals diversity among their carbon-concentrating mechanisms.

Authors:  Jodi N Young; Ana M C Heureux; Robert E Sharwood; Rosalind E M Rickaby; François M M Morel; Spencer M Whitney
Journal:  J Exp Bot       Date:  2016-04-29       Impact factor: 6.992

10.  Directions for Optimization of Photosynthetic Carbon Fixation: RuBisCO's Efficiency May Not Be So Constrained After All.

Authors:  Peter L Cummins; Babu Kannappan; Jill E Gready
Journal:  Front Plant Sci       Date:  2018-03-01       Impact factor: 5.753

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