Literature DB >> 24916069

C2 photosynthesis generates about 3-fold elevated leaf CO2 levels in the C3-C4 intermediate species Flaveria pubescens.

Olav Keerberg1, Tiit Pärnik2, Hiie Ivanova2, Burgund Bassüner3, Hermann Bauwe4.   

Abstract

Formation of a photorespiration-based CO2-concentrating mechanism in C3-C4 intermediate plants is seen as a prerequisite for the evolution of C4 photosynthesis, but it is not known how efficient this mechanism is. Here, using in vivo Rubisco carboxylation-to-oxygenation ratios as a proxy to assess relative intraplastidial CO2 levels is suggested. Such ratios were determined for the C3-C4 intermediate species Flaveria pubescens compared with the closely related C3 plant F. cronquistii and the C4 plant F. trinervia. To this end, a model was developed to describe the major carbon fluxes and metabolite pools involved in photosynthetic-photorespiratory carbon metabolism and used quantitatively to evaluate the labelling kinetics during short-term (14)CO2 incorporation. Our data suggest that the photorespiratory CO2 pump elevates the intraplastidial CO2 concentration about 3-fold in leaves of the C3-C4 intermediate species F. pubescens relative to the C3 species F. cronquistii.
© The Author 2014. Published by Oxford University Press on behalf of the Society for Experimental Biology.

Entities:  

Keywords:  14CO2 labelling; C3–C4 intermediate plants; Flaveria; carbon-concentrating mechanism; glycine decarboxylation; photorespiration; photosynthesis.

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Year:  2014        PMID: 24916069      PMCID: PMC4085972          DOI: 10.1093/jxb/eru239

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


Introduction

Land plants form three major classes characterized by specific modes of photosynthetic CO2 assimilation. In C3 plants, CO2 enters metabolism directly via ribulose 1,5-bisphosphate (RubP) carboxylase/oxygenase (Rubisco). In the mesophyll of C4 plant leaves and in CAM (crassulacean acid metabolism) plants, CO2 is initially fixed by phosphoenolpyruvate carboxylase. The resulting four-carbon (C4) compounds are decarboxylated in the Rubisco-containing bundle-sheath of C4 plants (Hatch and Slack, 1970) or become stored in the vacuoles of CAM plants for daytime decarboxylation and refixation of the released CO2 by Rubisco (Lüttge, 2004). Both modifications to the C3 mode of CO2 assimilation are adaptations to specific environmental conditions such as low CO2 or water availability. While C4 plants represent only about 3% of all land plant species, they dominate nearly all grasslands in the tropics, subtropics, and warm temperate zones (Sage, 2004). They also include highly productive crops, such as corn and sugar cane, and there is much interest to introduce yield-relevant features of C4 photosynthesis into C3 crops. Given the ecological and agricultural significance of C4 plants, it is important to understand how they evolved and what were the crucial steps in this process. A number of studies have shown that the evolution of C4 photosynthesis was not a unique event but occurred at least 66 times during the past 35 million years (Sage, 2004; Sage ). Among these plant lineages, the small genus Flaveria (Yellowtops) has received particular attention because it includes species with CO2 assimilation modes ranging from C3 via a broad range of C3–C4 intermediate species to C4 (Powell, 1978; Apel and Maass, 1981; Ku ; Bauwe, 1984). Notably, extant Flaveria C3–C4 intermediate species represent true evolutionary intermediates between C3 and C4 photosynthesis (Kopriva ; McKown ). Major physiological features of such plants are low apparent photorespiration (Apel and Maass, 1981; Holaday , 1984) in combination with an enhanced refixation of photorespiratory CO2 (Holbrook ; Bauwe ) and high glycine accumulation (Holaday and Chollet, 1983, 1984). Mechanistically, corresponding to the distribution of the photorespiratory enzyme glycine decarboxylase (GDC) in leaves of C4 plants (Ohnishi and Kanai, 1983), these specific characteristics are closely related to a confinement of GDC activity to the leaf bundle sheath (Hylton ; Moore ). Based on these and other data, it was hypothesized that C3–C4 intermediate species reduce apparent photorespiration by an efficient refixation of photorespired CO2 in the bundle sheath (Monson ; Edwards and Ku, 1987; Rawsthorne, 1992). This initial focus on the importance of CO2 refixation was later extended by the hypothesis that the confinement of glycine decarboxylase could result in a concentration of CO2 in the bundle sheath of C3–C4 intermediate plants (von Caemmerer, 1989; Monson and Rawsthorne, 2000). Today, such a mechanism, in which photorespiratory glycine serves as a vehicle to move ‘CO2’ from the mesophyll to the GDC-containing bundle sheath, is seen as a crucial step during the evolution of C4 photosynthesis (Bauwe, 2011; Sage ). In other words, the multiple evolution of C4 photosynthesis might have been triggered by and possibly even required the preceding presence of a much simpler CO2 concentration system than the C4 cycle, based on relatively small alterations to the high-flux photorespiratory glycine metabolism. This hypothesis is now widely accepted and the genetic alterations necessary to restrict photorespiratory GDC activity to the bundle sheath are being unravelled (Wiludda ; Schulze ). On the other hand, it is not known how efficient this photorespiratory CO2 pump could be. Here, 14CO2 incorporation studies designed to obtain an estimate of the in vivo rates of the two Rubisco-catalysed reactions in the C3–C4 species Flaveria pubescens relative to the control C3 species Flaveria cronquistii are reported. The ratio of these reactions, carboxylation versus oxygenation of RuBP, is co-determined by kinetic parameters of Rubisco and by the CO2/O2 concentration ratio (Laing ; Peisker, 1974; Farquhar ). Hence, a higher in vivo carboxylation/oxygenation ratio in F. pubescens relative to a control C3 species would not only indicate an elevated CO2/O2 concentration ratio but also allow quantifying the efficiency of the photorespiratory CO2 pump.

Materials and methods

Plant growth and 14C labelling

Flaveria cronquistii A.M. Powell (C3), Flaveria pubescens Rydberg (C3–C4), and Flaveria trinervia (Spreng.) C. Mohr (C4) were grown in soil in a controlled environment chamber at 28/22 °C (day/night) and 250–300 µmol photons m–2 s–1 at a photoperiod of 16h. Fully expanded leaves excised from 40–60-d-old plants were fixed by thin wires in a frame positioned in a purpose-built fast-acting 14CO2 labelling device (Pärnik ). Leaves were pre-illuminated at 30 Pa 12CO2 and 210 kPa O2 for 10–15min at about 1200 µmol photons m–2 s–1 and 25 °C to ensure maximum stomata opening and achievement of the steady-state rate of photosynthesis. Plants were then exposed to 14CO2 (2000 MBq mmol–1) for 0.6, 1.2, 2.4, 5, 15, 60, 120, and 360 s at the same concentrations of CO2 and O2, temperature and light as applied during pre-illumination. At the given time points, within 0.1 s, the leaf samples were automatically transferred into boiling 80% ethanol. 14CO2 incorporation was linear over the whole experiment. All experiments were performed in triplicate (three individual plants in three consecutive days, resulting in three leaf samples per time-point for each species).

Metabolite analysis

All leaf samples were individually extracted as described before (Värk ) with slight modifications. After 2min in boiling 80% ethanol, the samples were extracted for 15min at 86 °C with 5ml of 80% ethanol (twice) and 20% ethanol (once). All four ethanolic fractions were combined. The remaining samples were then further extracted for 15min at 86 °C with 5ml 96% ethanol acidified with 3 drops of 3 N HCl. The two extracts were separately (to avoid the hydrolysis of disaccharides) dried at 37 °C, individually re-dissolved in 5ml H2O each and cleared by centrifugation. The supernatants were combined, dried as above, and the metabolites re-dissolved in 1ml H2O. This final extract was used to determine total extractable radioactivity, radioactivity in amino acids (AAA 339 analyzer, Mikrotechna, Czech Republic), and other metabolites by using two-dimensional paper chromatography. Residual radioactivity in the fully extracted, dried, and triturated leaf samples was determined by using a non-aqueous scintillation cocktail. These analytical methods including the protocol used for starch analysis were described in more detail elsewhere (Keerberg ).

Photosynthetic–photorespiratory gas exchange

Rates of net and true photosynthesis, photorespiratory CO2 evolution from the leaf, intracellular decarboxylation of early photosynthates, and rates of reassimilation of photorespiratory CO2 were determined during steady-state photosynthesis by using standard gas-exchange measurement techniques in combination with a radiogasometric method described before (Pärnik and Keerberg, 1995, 2007). In short, this method is based on the analysis of time curves of 14CO2 evolution from labelled photosynthates in leaves previously exposed to 14CO2. Photorespiration (210 kPa O2) and day respiration (15 kPa O2) were distinguished by measurement under different O2 concentrations. Re-fixation ratios (D) of photorespiratory CO2 were calculated from 14CO2 evolution at the very high concentration of 3 kPa 12CO2, where re-fixation of 14CO2 evolved inside the cell is close to zero, relative to 14CO2 evolution at air levels of 12CO2.

Modelling and data analysis

From the radioactivity values for individual metabolites in combination with the specific radioactivity of the 14CO2 fed to leaves, the amounts of carbon incorporated at the selected time points were calculated and plotted against the duration of feeding with 14CO2. The amounts of carbon fixed in individual compounds were expressed in absolute (µmol C m–2) and relative (per cent of total carbon fixed) units. These experimental labelling curves contain the information about rates of all relevant carbon fluxes and corresponding metabolite pool sizes. To extract this information on Flaveria photosynthetic–photorespiratory metabolism, the model shown in Fig. 1 was used. The model allows CO2 incorporation into the reductive pentose phosphate cycle (RPPC) either directly with rate R 1 or via the C4 cycle with rate R 6. Total carbon flux through the photorespiratory cycle is denoted R 2. R5 is the export rate of phosphorylated sugars into other pathways, for example, sucrose biosynthesis. R 7 denotes the rate of carbon efflux from the RPPC to the C3 skeleton of C4 acids, while R 8 describes the rate of accumulation of C4-acids. In order to simplify calculations, metabolites were grouped into four pools: (i) pool ‘SP’ with sugar phosphates plus 3-phosphoglycerate, (ii) pool ‘Gly’ with metabolites of the two-carbon branch of the photorespiratory cycle, (iii) pool ‘Ser’ with metabolites of the three-carbon branch of the photorespiratory cycle, and (iv) pool ‘C 4’ with malate and aspartate. Each of these four pools comprises two metabolic sub-pools with different labelling kinetics, for example, photorespiratory pools with rapid turnover in peroxisomes and mitochondria (Gly-I and Ser-I with pools C 2 and C 3, respectively) or less mobility in the cytosol and chloroplasts (Gly-II and Ser-II with pools C 4 and C 5, respectively). At steady-state photosynthesis, these pools are in diffusional equilibrium with exchange rates R 3 and R 4, respectively. At the glycine-into-serine conversion step, one molecule of CO2 is released per serine molecule formed, corresponding to a glycine decarboxylation rate of R 2/4. The resulting CO2 is re-fixed in the RPPC or the C4 cycle or escapes from the leaf. The extent of re-fixation is described by the re-fixation coefficient D, which was experimentally determined as described above.
Fig. 1.

Model of major photosynthetic-photorespiratory carbon fluxes in Flaveria including the reductive pentose phosphate cycle (RPPC) with the attached photorespiratory pathway and the C4 photosynthetic pathway. R 1, rate of CO2 fixation in RPPC; R 2, rate of carbon flux through the glycolate cycle; R 3, rate of carbon exchange between different pools of glycine; R 4, rate of carbon exchange between different pools of serine; R 5, rate of transport of sugar phosphates out of the RPPC; R 6, rate of CO2 fixation by the C4 pathway; R 7, rate of carbon flux from RPPC into ‘C3 skeletons’ of C4 acids, R 8, rate of accumulation of C4 acids; C 1, total pool of sugar phosphates in the RPPC; C 2, active pool of the glycine branch of the photorespiratory pathway; C 3, active pool of the serine branch of the photorespiratory pathway; C 4 and C 5, corresponding non-photorespiratory metabolite pools; C 6, extra-cyclic pool of sugar phosphates; C 7, total pool of C4 acids. D (reassimilation coefficient) describes the fraction of refixed relative to total photorespiratory CO2. A 1 and A 2 are the partition coefficients describing the relative contributions of the RPPC and the C4 pathway to refixation of photorespiratory CO2. Note that Gly-I and Ser-I also include all other metabolites from the respective branches of the photorespiratory pathway. Gly-II and Ser-II represent less mobile (cytosolic, plastidial, vacuolar) pools of these metabolites.

Model of major photosynthetic-photorespiratory carbon fluxes in Flaveria including the reductive pentose phosphate cycle (RPPC) with the attached photorespiratory pathway and the C4 photosynthetic pathway. R 1, rate of CO2 fixation in RPPC; R 2, rate of carbon flux through the glycolate cycle; R 3, rate of carbon exchange between different pools of glycine; R 4, rate of carbon exchange between different pools of serine; R 5, rate of transport of sugar phosphates out of the RPPC; R 6, rate of CO2 fixation by the C4 pathway; R 7, rate of carbon flux from RPPC into ‘C3 skeletons’ of C4 acids, R 8, rate of accumulation of C4 acids; C 1, total pool of sugar phosphates in the RPPC; C 2, active pool of the glycine branch of the photorespiratory pathway; C 3, active pool of the serine branch of the photorespiratory pathway; C 4 and C 5, corresponding non-photorespiratory metabolite pools; C 6, extra-cyclic pool of sugar phosphates; C 7, total pool of C4 acids. D (reassimilation coefficient) describes the fraction of refixed relative to total photorespiratory CO2. A 1 and A 2 are the partition coefficients describing the relative contributions of the RPPC and the C4 pathway to refixation of photorespiratory CO2. Note that Gly-I and Ser-I also include all other metabolites from the respective branches of the photorespiratory pathway. Gly-II and Ser-II represent less mobile (cytosolic, plastidial, vacuolar) pools of these metabolites. Formally, the metabolic model is described by the four analytical functions shown as equations 1–4, one for each major metabolite pool (similar to Keerberg ). To determine individual pool sizes C i and carbon fluxes R i, the experimental values of the radioactivity of sugar phosphates, metabolites of the glycine and serine branches of the photorespiratory pathway, and of C4-acids were simultaneously fitted to these functions by multi-component non-linear regression analysis. These functions also consider the time-dependent dilution of the applied tracer CO2 by unlabelled photorespiratory CO2, which is important particularly at the start of tracer feeding under steady-state photosynthesis. A more detailed explanation of these functions is provided in the Supplementary data at JXB online.

Results and discussion

The analysis of in vivo Rubisco carboxylation and oxygenation rates is not trivial. Potentially, such data can be extracted from gas exchange experiments (Pärnik and Keerberg, 1995), but this approach is biased by limited knowledge of the internal diffusion pathways for CO2 and O2. Bias becomes even stronger at a varying intercellular distribution of photosynthetic tasks, such as the operation of CO2-concentrating mechanisms. Assuming that there is no large variation in the plastidial O2 concentrations (Tolbert ), it should be possible approximately to assess the efficiency of the photorespiratory CO2 pump in C3–C4 intermediate plants by the quantification of carbon fluxes through the individual routes of the photosynthetic–photorespiratory biochemical network. Speed and complexity of the biochemical processes involved require fast and, consequently, sensitive labelling techniques using 14CO2 as a tracer in combination with model-based data analysis. For our study, three Flaveria species were used, F. cronquistii (C3), F. pubescens (C3–C4 intermediate), and F. trinervia (C4). These species have previously been examined for their photosynthetic types (Apel and Maass, 1981; Ku ; Rumpho ), kinetic properties of Rubisco (Bauwe, 1984; Wessinger ; Kubien ), and phylogenetic position within the genus (Powell, 1978; Kopriva ; McKown ). These studies include the observation (Bassüner ; Monson ) that C3–C4 intermediate Flaveria species fix a small fraction of CO2 via the C4 pathway (R 6 in the model shown in Fig. 1) while most of the CO2 enters metabolism directly via the RPPC (R 1 in Fig. 1). It was not our intention to perform a comprehensive re-analysis of photosynthetic–photorespiratory carbon metabolism of these species. Instead, we wanted to focus on the quantification of key fluxes including control data confirming adequate fidelity of our approach. Building upon previous studies (Pärnik ; Keerberg ), the model schematically shown in Fig. 1 was developed which embraces, in a generalized form, all the relevant information that is necessary to determine Rubisco carboxylation/oxygenation ratios in vivo. It considers time- and flux-dependent changes in the tracer’s specific radioactivity at all nodes of the network and allows the separation of high- and low-turnover pools of key metabolites of photosynthetic CO2 and photorespiratory O2 fixation. In order to simplify the model and make it as robust as possible, the metabolically related metabolites of the four major pathways were combined into four pools, each of which is described by a labelling function P(t,C i,R i) shown as equations 1–4. Essentially, these four functions describe the time dependence of the radioactivity P incorporated under steady-state conditions into each of the four major model components sugar phosphates plus 3-phosphoglycerate [equation (1); SP-I plus SP-II], the glycine branch [equation (2); Gly-I plus Gly-II] and the serine branch [equation (3); Ser-I plus Ser-II] of the photorespiratory pathway, and the C4 pathway [equation (4); C 4]. S S and S C are time-dependent functions that describe changes in the specific radioactivity of CO2 fixed in the RPPC and the C4 pathways, respectively. Functions P(SP), P(Gly), P(Ser), and P(C 4) were simultaneously fitted to experimental data points collected over a time scale from 0.6 to 360 s during steady-state photosynthesis. Quantitative values for carbon fluxes Ri between the sub-pools directly involved in photosynthetic CO2 fixation and photorespiration, for example, from SP-I (pool size C 1) via Gly-I (pool size C 2) to Ser-I (pool size C 3), were calculated by multi-component non-linear regression analysis. Figure 2 demonstrates that the model approximations for all four major metabolite pools represented by the model fit very well to the experimental data points. This includes initial CO2 fixation by the C4 pathway in F. trinervia in combination with final refixation of CO2 released from C4 acids by the RPPC as well as the ‘glycine anomaly’ of the C3–C4 intermediate plant F. pubescens. As mentioned in the Introduction, the specific alterations to glycine metabolism of C3–C4 intermediate plants are due to a specific distribution of photorespiratory GDC activity (Rawsthorne, 1992), which represents the enzymatic backbone of the photorespiratory CO2 pump.
Fig. 2.

Time-courses of CO2 incorporation into sugar phosphates, C4 acids, and intermediates of the two branches of the photorespiratory pathway. Shown are time-courses relative to true photosynthesis, which was set to 100% for easier comparison. Symbols represent mean values from three data points (biological replicates). Solid (F. cronquistii), dashed (F. pubescens), and dotted lines (F. trinervia) are best fits to the labelling functions (Equations 1–4) and were calculated by multi-component non-linear regression analysis.

Time-courses of CO2 incorporation into sugar phosphates, C4 acids, and intermediates of the two branches of the photorespiratory pathway. Shown are time-courses relative to true photosynthesis, which was set to 100% for easier comparison. Symbols represent mean values from three data points (biological replicates). Solid (F. cronquistii), dashed (F. pubescens), and dotted lines (F. trinervia) are best fits to the labelling functions (Equations 1–4) and were calculated by multi-component non-linear regression analysis. Another apparent feature is the overlap of primary and secondary labelling kinetics, which is best seen with the C4 acids but also within the glycine and serine branches of the photorespiratory pathway (Keerberg ). In the case of the C4 acids, the complex labelling kinetics results from direct CO2 fixation (R 6 in Fig. 1), secondary labelling of carbons 1–3 by the synthesis of phosphoenolpyruvate from RPPC intermediates (via phosphoglycerate mutase and enolase; R 7), and export as a metabolically less mobile pool (probably to the vacuole; R 8). Also, two metabolic pools with different labelling kinetics exist in both branches of the photorespiratory pathway. This is because one fraction each (Gly-II and Ser-II with pools C 4 and C 5, respectively) is present in cellular compartments that do not directly contribute to photorespiratory reactions. These fractions show a lower turnover than the photorespiratory most active pools (Gly-I and Ser-I with pools C 2 and C 3, respectively). At steady-state photosynthesis, the pools equilibrate pairwise with exchange rates R 3 and R 4. To consider such effects, and specifically calculate fluxes between metabolite pools directly involved in CO2 fixation and photorespiration, the model allows overlapping pools with different labelling kinetics to be separated by component analysis. Figure 3 provides examples of how the sequestration of metabolites into different pools was quantified and how the separation of primary and secondary labelling was achieved in the case of F. pubescens. The example data display carbon incorporation into high- (Gly-I and Ser-I) and low-turnover (Gly-II and Ser-II) pools within the glycine and serine branches of the photorespiratory pathway. They also demonstrate the quantitative separation of the ‘active’ C 4 carbon pool of C4 acids from label appearing in carbon atoms 1–3 and in C4 acids exported to the vacuole. Collectively, these data show that the chosen model is an adequate tool for the calculation of fluxes through the major routes of photosynthetic CO2 fixation from quantitative 14CO2 labelling data.
Fig. 3.

Examples for the model-based separation of fast- and slow-turnover pools in the ‘Gly’ and ‘Ser’ branches of the photorespiratory pathway and for primary versus secondary labelling and accumulation of C4 acids. All data are for F. pubescens.

Examples for the model-based separation of fast- and slow-turnover pools in the ‘Gly’ and ‘Ser’ branches of the photorespiratory pathway and for primary versus secondary labelling and accumulation of C4 acids. All data are for F. pubescens. The relevant fluxes are summarized in Table 1 and complemented by results from radiogasometric measurements performed in parallel with the same set of plants. These independent data show rates of true photosynthesis, total decarboxylation, and photorespiratory CO2 evolution. They allowed calculating the extent to which photorespiratory CO2 is re-fixed.
Table 1.

Carbon fluxes in photosynthetic–photorespiratory carbon metabolism of Flaveria speciesValues marked with an asterisk represent means ±SE from three measurements on different plants by using a radiogasometric method (Pärnik and Keerberg, 2007). All other values were calculated as means ±SE by multi-component non-linear regression analysis from the time-course of 14C-incorporation (simultaneous fit to equations 1–4; labelling data from three independent experiments).

Carbon fluxes F. cronquistii µmol m–2 s–1 % P T F. pubescens µmol m–2 s–1 % P T F. trinervia µmol m–2 s–1 % P T
P T*True photosynthesis3.76±0.10 7.93±0.70 10.37±0.28
R 1 CO2 incorporation directly into RPPC3.82±0.49101.66.23±0.0778.60.45±0.254.3
R 6 CO2 incorporation directly into C4 acids0.32±0.018.51.29±0.3216.39.42±0.1090.8
R 7 Secondary labelling of C4 acids C1–C2–C3 0.43±0.0711.41.71±0.0321.61.76±0.2117.0
R 8 C4 acid immobilization as end-products0.10±0.012.70.66±0.068.30.94±0.159.1
R 1+R 6 Total CO2 incorporation4.14±0.49110.17.52±0.3394.89.87±0.2795.2
*of which sucrose formation amounts to0.95±0.0225.32.11±0.0926.65.98±0.6357.7
*of which starch formation amounts to0.86±0.0222.91.58±0.1319.91.80±0.1217.4
*of which insoluble material amounts to0.55±0.0214.60.75±0.029.51.62±0.3015.6
R 2 C flow through photorespiratory pathway6.64±0.25176.63.66±0.2046.22.56±0.2124.7
R 2/4Decarboxylation of glycine1.66±0.0644.10.92±0.0511.60.64±0.056.2
DEC*Photorespiratory and C4 decarboxylation2.18±0.0858.01.84±0.0523.26.70±0.2164.6
R P*Photorespiratory CO2 evolution1.35±0.0535.90.16±0.022.00.03±0.020.3
D*Reassimilation in % of DEC 38.191.3 99.5
R 2/2Oxygenation3.3 1.8 1.3
R 1+R 6+D*R 2/4Carboxylation4.8 8.3 10.5
Mean relative CO2 at Rubisco sites1.0 3.2 5.7
Carbon fluxes in photosynthetic–photorespiratory carbon metabolism of Flaveria speciesValues marked with an asterisk represent means ±SE from three measurements on different plants by using a radiogasometric method (Pärnik and Keerberg, 2007). All other values were calculated as means ±SE by multi-component non-linear regression analysis from the time-course of 14C-incorporation (simultaneous fit to equations 1–4; labelling data from three independent experiments). CO2 can become incorporated into the RPPC either directly with rate R 1 or indirectly via the C4 pathway with rate R 6. The sums R 1+R 6 then represent total CO2 incorporation from external sources and show an increasing contribution by the C4 cycle, very low in F. cronquistii, low in F. pubescens, and, as expected, very high in F. trinervia. These total influx rates correspond reasonably well to directly measured rates for true photosynthesis P T, which provides a strong argument for the soundness of all other flux calculations. Higher values for P T (C3sucrose formation (R 5; directly measured in Table 1) and C4 acid accumulation as end-products (R 8). Moreover, the photosynthetically active pools of C4 acids (C 7; not listed in Table 1) increased from 13±1 (C3) via 57±19 (C3–C4) to 161±39 µmol C m–2 (C4). It is important to note that the increase of C4 cycle activity from F. cronquistii to F. pubescens (5.8% to 8.3% of P T, calculated as R6–R8) is only very small in comparison with the activity of the C4 cycle in F. trinervia (81.7% of P T). This suggests that CO2 accumulation occurs mainly by glycine-shuttling and less by C4 cycle activity in the bundle sheath of F. pubescens. Carbon flux through the glycolate cycle, R 2, is stoichiometrically related to the rate of RuBP oxygenation, R 2/2. As a result of the operation of CO2-concentrating mechanisms in F. pubescens and in F. trinervia, photorespiration-related fluxes become distinctly lower from C3 towards C4 metabolism. To determine the true rates of RuBP carboxylation, in addition to the sum of R 1 and R 6, it was necessary to consider the refixation of CO2 generated from internal sources. In C3 and C3–C4 plants, photorespiration is the dominating internal source of CO2 during photosynthesis. R 2 is stoichiometrically related to photorespiratory glycine decarboxylation as R 2/4, because one molecule of CO2 is released per one molecule of serine formed from two glycine molecules. The extent to which refixation occurs must be separately determined. This was done by radiogasometric measurements (Pärnik and Keerberg, 1995, 2007), which allowed direct quantification of the sum DEC of photorespiratory glycine decarboxylation plus C4 acid decarboxylation plus minor CO2 releasing processes. It is reasonable to assume that all fractions of internally generated CO2 are re-assimilated with the same efficiency. In combination with the rate R P of CO2 losses from the leaf (simplifying referred to as photorespiratory CO2 evolution), this assumption allows assessing the partitioning D between re-fixation and loss of CO2 from the leaf. The calculated total rates with which Rubisco fixes CO2 arriving by diffusion from the stomata (R 1), from decarboxylation in the C4 cycle (R 6), and from photorespiration (D*R 2/4) were related to RuBP oxygenation rates (R 2/2). The comparison shows that the resulting in vivo carboxylation-to-oxygenation ratio of Rubisco is more than three times higher in F. pubescens relative to F. cronquistii under the same experimental conditions. Rubisco from C4 Flaveria species has a somewhat lower affinity to CO2, but it is also known that Rubisco from C3 and C3–C4 Flaveria species show more or less identical kinetics (Bauwe, 1984;Wessinger ; Kubien ). Since the oxygen compensation point of C3 plants is only slightly above air levels (Tolbert ), plastidial oxygen concentrations are probably close to air oxygen concentrations in F. cronquistii and F. pubescens but presumably also in the C4 species F. trinervia. Therefore, in a comparison of these species, measurement of in vivo carboxylation-to-oxygenation ratios allows the calculation of the relative CO2 concentration in chloroplasts. Considering the reported K m values of Rubisco for CO2, which are even somewhat higher than steady-state internal CO2 levels, our data suggest that the photorespiratory CO2 pump elevates the mean intraplastidial CO2 concentration during steady-state photosynthesis about 3-fold in leaves of the C3–C4 intermediate species F. pubescens relative to the C3 species F. cronquistii. This is considered to be a sound estimate because small contributions from C4 photosynthesis are balanced by the operation of a significant fraction of Rubisco at non-elevated CO2 levels in the mesophyll of F. pubescens.

Supplementary data

Supplementary data can be found at JXB online. Supplementary data. An explanation of the labelling functions of the model shown in Fig. 1 used for the quantitative analysis of the labelling kinetics.
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Journal:  Annu Rev Plant Biol       Date:  2012-01-30       Impact factor: 26.379

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Journal:  Am J Bot       Date:  2005-11       Impact factor: 3.844

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Journal:  Plant Cell       Date:  2012-01-31       Impact factor: 11.277

4.  Photosynthetic Characteristics of C(3)-C(4) Intermediate Flaveria Species : III. Reduction of Photorespiration by a Limited C(4) Pathway of Photosynthesis in Flaveria ramosissima.

Authors:  M E Rumpho; M S Ku; S H Cheng; G E Edwards
Journal:  Plant Physiol       Date:  1984-08       Impact factor: 8.340

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Authors:  G P Holbrook; D B Jordan; R Chollet
Journal:  Plant Physiol       Date:  1985-03       Impact factor: 8.340

6.  Regulation of Soybean Net Photosynthetic CO(2) Fixation by the Interaction of CO(2), O(2), and Ribulose 1,5-Diphosphate Carboxylase.

Authors:  W A Laing
Journal:  Plant Physiol       Date:  1974-11       Impact factor: 8.340

7.  The oxygen and carbon dioxide compensation points of C3 plants: possible role in regulating atmospheric oxygen.

Authors:  N E Tolbert; C Benker; E Beck
Journal:  Proc Natl Acad Sci U S A       Date:  1995-11-21       Impact factor: 11.205

8.  The biochemistry of Rubisco in Flaveria.

Authors:  David S Kubien; Spencer M Whitney; Paige V Moore; Linley K Jesson
Journal:  J Exp Bot       Date:  2008-01-27       Impact factor: 6.992

9.  Reassimilation of carbon dioxide by Flaveria (Asteraceae) species representing different types of photosynthesis.

Authors:  H Bauwe; O Keerberg; R Bassüner; T Pärnik; B Bassüner
Journal:  Planta       Date:  1987-10       Impact factor: 4.116

10.  Evolution of C4 photosynthesis in the genus flaveria: establishment of a photorespiratory CO2 pump.

Authors:  Stefanie Schulze; Julia Mallmann; Janet Burscheidt; Maria Koczor; Monika Streubel; Hermann Bauwe; Udo Gowik; Peter Westhoff
Journal:  Plant Cell       Date:  2013-07-11       Impact factor: 11.277

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  14 in total

1.  Some like it hot: the physiological ecology of C4 plant evolution.

Authors:  Rowan F Sage; Russell K Monson; James R Ehleringer; Shunsuke Adachi; Robert W Pearcy
Journal:  Oecologia       Date:  2018-06-28       Impact factor: 3.225

2.  The Evolutionary Origin of C4 Photosynthesis in the Grass Subtribe Neurachninae.

Authors:  Roxana Khoshravesh; Matt Stata; Florian A Busch; Montserrat Saladié; Joanne M Castelli; Nicole Dakin; Paul W Hattersley; Terry D Macfarlane; Rowan F Sage; Martha Ludwig; Tammy L Sage
Journal:  Plant Physiol       Date:  2019-10-14       Impact factor: 8.340

3.  The evolution of stomatal traits along the trajectory toward C4 photosynthesis.

Authors:  Yong-Yao Zhao; Mingju Amy Lyu; FenFen Miao; Genyun Chen; Xin-Guang Zhu
Journal:  Plant Physiol       Date:  2022-08-29       Impact factor: 8.005

4.  Upregulation of C4 characteristics does not consistently improve photosynthetic performance in intraspecific hybrids of a grass.

Authors:  Matheus E Bianconi; Graciela Sotelo; Emma V Curran; Vanja Milenkovic; Emanuela Samaritani; Luke T Dunning; Lígia T Bertolino; Colin P Osborne; Pascal-Antoine Christin
Journal:  Plant Cell Environ       Date:  2022-03-10       Impact factor: 7.947

5.  Carbon isotope discrimination as a diagnostic tool for C4 photosynthesis in C3-C4 intermediate species.

Authors:  Hugo Alonso-Cantabrana; Susanne von Caemmerer
Journal:  J Exp Bot       Date:  2016-02-08       Impact factor: 6.992

6.  Tracking the evolutionary rise of C4 metabolism.

Authors:  Rowan F Sage
Journal:  J Exp Bot       Date:  2016-04-16       Impact factor: 6.992

7.  A generalized stoichiometric model of C3, C2, C2+C4, and C4 photosynthetic metabolism.

Authors:  Chandra Bellasio
Journal:  J Exp Bot       Date:  2016-08-17       Impact factor: 6.992

8.  Molecular phylogeny and forms of photosynthesis in tribe Salsoleae (Chenopodiaceae).

Authors:  Christina Schüssler; Helmut Freitag; Nuria Koteyeva; Denise Schmidt; Gerald Edwards; Elena Voznesenskaya; Gudrun Kadereit
Journal:  J Exp Bot       Date:  2016-12-21       Impact factor: 6.992

9.  C3-C4 intermediacy in grasses: organelle enrichment and distribution, glycine decarboxylase expression, and the rise of C2 photosynthesis.

Authors:  Roxana Khoshravesh; Corey R Stinson; Matt Stata; Florian A Busch; Rowan F Sage; Martha Ludwig; Tammy L Sage
Journal:  J Exp Bot       Date:  2016-04-12       Impact factor: 6.992

10.  Most photorespiratory genes are preferentially expressed in the bundle sheath cells of the C4 grass Sorghum bicolor.

Authors:  Florian Döring; Monika Streubel; Andrea Bräutigam; Udo Gowik
Journal:  J Exp Bot       Date:  2016-03-14       Impact factor: 6.992

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