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Three distinct biochemical subtypes of C4 photosynthesis? A modelling analysis

Yu Wang, Andrea Bräutigam, Andreas P. M. Weber and 1 more

Journal of Experimental Botany · 2014

doi:10.1093/jxb/eru058

Abstract

C4 photosynthesis has higher light-use, nitrogen-use, and water-use efficiencies than C3 photosynthesis. Historically, most of C4 plants were classified into three subtypes (NADP-malic enzyme (ME), NAD-ME, or phosphoenolpyruvate carboxykinase (PEPCK) subtypes) according to their major decarboxylation enzyme. However, a wealth of historic and recent data indicates that flexibility exists between different decarboxylation pathways in many C4 species, and this flexibility might be controlled by developmental and environmental cues. This work used systems modelling to theoretically explore the significance of flexibility in decarboxylation mechanisms and transfer acids utilization. The results indicate that employing mixed C4 pathways, either the NADP-ME type with the PEPCK type or the NAD-ME type with the PEPCK type, effectively decreases the need to maintain high concentrations and concentration gradients of transport metabolites. Further, maintaining a mixture of C4 pathways robustly affords high photosynthetic efficiency under a broad range of light regimes. A pure PEPCK-type C4 photosynthesis is not beneficial because the energy requirements in bundle sheath cells cannot be fulfilled due to them being shaded by mesophyll cells. Therefore, only two C4 subtypes should be considered as distinct subtypes, the NADP-ME type and NAD-ME types, which both inherently involve a supplementary PEPCK cycle.

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Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 23, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

Plants using C4 photosynthesis have higher potential energy-conversion efficiency than C3 plants because of a CO2-concentrating mechanism that largely reduces photorespiration. In most cases, with the exception of single-cell C4 photosynthesis, this CO2-concentrating mechanism usually requires compartmentalized photosynthetic reactions into two distinct cell types: bundle sheath cells (BSCs) and mesophyll cells (MCs). In C4 plants, CO2 is fixed by phosphoenolpyruvate (PEP) carboxylase (PEPC) in the MC cytosol, and the resulting C4 acid is subsequently converted to either malate or aspartate. Then, the C4 acid is transported to the BSCs where it is decarboxylated to release CO2 around Rubisco. Decarboxylation in BSCs, together with the CO2 diffusion barrier between BSCs and MCs, elevates the CO2 concentration around Rubisco, thereby minimizing photorespiration.

Traditionally, C4 photosynthesis is classified into three biochemical subtypes, according to their different decarboxylation mechanisms. The first enzyme of the C4 cycle, PEPC, is common to all three subtypes. The product of PEPC, oxaloacetate (OAA), can be either reduced to malate by malate dehydrogenase (MDH) or converted to aspartate (Asp) by aspartate aminotransferase. Malate is then transported to BSCs in NADP-malic enzyme (ME) subtype plants while Asp is transported in NAD-ME and PEPCK types. In the NADP-ME type, malate is used to generate pyruvate and CO2, with the formation of NADPH catalysed by NADP-ME. In the other two decarboxylation types, aspartate is converted back to OAA in BS cytosol or mitochondria. In the NAD-ME type, OAA is reduced to malate by MDH, and the NAD-ME then catalyses splitting of malate to release CO2 and pyruvate in mitochondria. In the PEP-carboxykinase (PEPCK) type, most of the OAA is converted to PEP and CO2 in BSC cytosol by PEPCK. NAD-ME is used to provide NADH for generation of ATP, which can be used to fuel PEPCK. NAD-ME can also balance the amino groups between MCs and BSCs via the return of alanine to MCs. Since Asp brings an amino group from MCs to BSCs, OAA generated from Asp can be utilized in two ways. One is that PEPCK generates PEP, which directly returns to MCs without an amino group; the other is that OAA is converted to malate, which is then decarboxylated to pyruvate by NAD-ME. The resulting pyruvate can be converted to alanine and returned to MCs, thereby transporting the amino group.

Although C4 photosynthesis has long been classified into three distinct subtypes, multiple lines of evidence suggest that some flexibility in C4 photosynthetic pathways exists in the same leaf: specifically that NADP-ME and PEPCK subtypes might coexist; similarly, NAD-ME type and PEPCK subtypes can also coexist. Early 14C-labelling experiments in maize indicated that radioactively labelled carbon provided as CO2 is mostly incorporated into malate, but also to a substantial degree into aspartate, a compound normally considered as not present in the classical NADP-ME-type model. Later, showed that isolated BSCs of maize can use aspartate and oxoglutarate to produce CO2 and showed that maize leaves contain sufficient activities of the aminotransferases to carry the required flux. Furthermore, a similar phenomenon has also been found in Flaveria bidentis, an NADP-ME dicot species. Key C4 enzyme activities also indicate that the ratio of asparate to malate transferred varies in NADP-ME type species. The flexibility of C4 subtypes has also been shown through coexistence of key enzymes. For example, in maize, PEPCK is present, active, and capable of supporting high rates of aspartate-dependent photosynthesis in isolated BSCs. The PEPCK transcript is expressed at high levels in maize BSCs. Also in the NAD-ME species Cleome gynandra, high PEPCK activity was detected and different C4 dicots also contain PEPCK in addition to the major decarboxylation enzyme.

The flexibility or coexistence of different C4 subtypes, i.e. between NADP-ME and PEPCK subtypes, or between NAD-ME and PEPCK subtypes, is also reflected in the theoretical quantum yield and observed energy-conversion efficiencies between plants considered having different subtypes. Theoretical considerations on quantum yield and leakiness of CO2 from BSCs suggested that the efficiency of C4 subtypes should be different and that the PEPCK subtype has the highest energy-conversion efficiency (Hatch, 1995;; ). However, experimental evidence for this is still insufficient.

Considering these facts, it is highly likely that the so-called C4 subtypes actually coexist in C4 plants. So far, the physiological significance of this potential coexistence of C4 subtypes is inadequately studied. This study uses a systems modelling approach to theoretically evaluate the potential physiological consequences of having different mixtures of C4 subtypes and further discusses whether the PEPCK pathway should indeed be considered as an independent or as a supplementary pathway.

Model development

The models developed here are depicted diagrammatically in Fig. 1. The individual models were developed following the basic procedure as in. Essentially, after the reaction diagrams were established, differential equations, rate equations, and algebraic equations representing conserved quantities were developed. The models were implemented in MATLAB and solved using ode15s.

With the models, this work computed changes in the metabolite concentrations (dM/dt) by the differences between rates of fluxes generating and consuming this metabolite:

where v in and v out represent the rate of fluxes generating and consuming metabolite (M), respectively. This work developed one differential equation as equation 1 for each metabolite used in the model. The equations and parameters used in the model were listed in Table 1 and the Supplementary Data (available at JXB online). The C4 NADP-ME type model was used as a basis of the kinetic models of mixed C4 pathways, upon which additional pathways were added to form various mixed-pathway models (Supplementary Fig. S1 available at JXB online).

Combinations of C4 pathways

Experimental evidence has suggested that the so-called three C4 subtypes can coexist with each other. For example, in Zea mays, about 25% of the initial carbon label partitions to aspartate and about 75% to malate (MAL), which shows that Z. mays uses both as transfer acids. This mixture of C4 subtypes were also clearly demonstrated in a recent transcriptomics and enzyme activity study. The use of amino acids in addition to malate and pyruvate does not necessarily require the presence of PEPCK as the decarboxylation enzyme, as demonstrated in Sorghum bicolor, which does not have PEPCK but transcriptome data shows high level of Asp transaminase and Ala transaminase expression which suggest amino acids are also used as transfer acids. Based on the knowledge above, the current work developed different systems models representing various combinations of C4 subtypes. Those pathways with combinations of C4 subtypes were termed as mixed C4 pathways, and models representing these mixed pathways were termed as mixed-pathway models. The models were named after the transfer C4 acid and the decarboxylase used: Asp+MAL and PEPCK model, Asp+MAL and ME model, and Asp+MAL and PEPCK+ME model. In the Asp+MAL and PEPCK model, the transferred aspartate is decarboxylated in BSC cytosol by PEPCK, while in the Asp+MAL and ME model, the transferred aspartate is decarboxylated in BSC chloroplasts by NADP-ME. The Asp+MAL and ME model requires existence of MDH in BSCs. The Asp+MAL and PEPCK+ME model can be regard as an integration of the other two models. In the hypothetical Asp and PEPCK-only model, aspartate is the only transfer C4 acid and PEPCK is the only decarboxylase in C4 cycle.

Light reactions

The electron transport rate (J) is used to calculate the rates of ATP and NADPH synthesis in the models. The maximum rate of ATP and NADPH synthesis reactions were described as:

where V maxE is the maximum rate of ATP and NADPH synthesis determined by the properties of ATP synthase and NADP+ reductase, and V maxJ is calculated by the electron transport rate:

where ε is the ATP/e– ratio or NADPH/e– ratio.

A biochemical model was used to calculate J:

where I 2 is the photosynthetic active radiation absorbed by photosystem II (PSII) which is calculated from the input of photosynthetic photon flux density (PPFD), J max is the maximal electron transport rate, and θ is an empirical curvature factor.

J of MC (J m) and BSC (J b) were calculated separately (; Supplementary Data available at JXB online), In this model, the proportion of linear electron transport (LET) in BSCs, as reflected in the PSII content in BSCs, was assumed to be variable:

where Il_b and Jmaxl_b represent incident photosynthetic photon flux density and J max, which participate in liner electron transport in BSCs. u and v are variables representing the proportion of light and J max of LET in BSCs; this model assumes that they are equal, i.e. u=v=LETBSC. If u and v are 0, there is no LET in BSCs; if u and v are 1, all light and J max take part in LET in BSCs. I b represents light absorbed by BSCs, and Jmax_b is the maximum electron transport capacity of BSCs. ATP used by PEPCK in BSCs cytosol is assumed to be supported by light reactions in BSCs.

O2 generation from LET was considered in both MCs and BSCs. The total equation is:

The reaction rate of equation 8 (v LET) was considered as:

where J l is the LET rate. The LET rate of BSCs (Jl_b) is calculated by equation 7. In MCs, the model assumed that all electrons were transported through the LET chain.

CO2 assimilation rate

During the simulation, it was assumed that the model reached a steady state when the predicted metabolite concentrations did not change with time any more. The steady-state metabolite levels and flux rates were extracted from model output after the model reached a steady state. The CO2 assimilation rate (A) was calculated as:

where v c and v o are the rates of RuBP carboxylation and oxygenation, respectively, and R d is the rate of mitochondrial respiration. The default value for R d is 1 μmol m–2 s–1, with the rate of respiration in both BSCs (R b) and MCs (R m) being equal as 0.5 μmol m–2 s–1.

Model structures and predicted photosynthetic rates under different light and CO2 levels

The four mixed-pathway models were analysed together with a standard NADP-ME model (Fig. 1). First, the models were used to predict responses of CO2 assimilation rate (A) to the photosynthetic photon flux density (PPFD) (Fig. 2). The standard NADP-ME model had the highest predicted assimilation rate at photon flux densities below a threshold of 1000 μmol m–2 s–1. Above this threshold, a mixed model assuming transfer of Asp and malate but only decarboxylation through NADP-ME (Asp+MAL and ME) showed the highest assimilation rate. Compared to the standard NADP-ME model, all the mixed models assuming PEPCK activity had lower assimilation rates at photon flux densities below 2000 μmol m–2 s–1. Apart from the PEPCK-only model, which has no photosynthesis rate, photosynthetic responses predicted by all other models were comparable to experimental data from maize (Fig. 2; ).

The predicted leakiness was increased in all mixed-pathway models compared to the standard NADP-ME model (Fig. 3A). The modelled leakiness under different light levels was generally consistent with measured leakiness for maize (Fig. 3A) and Flaveria, two typical NADP-ME subtype C4 plants. The predicted photorespiratory rate was highest in the standard NADP-ME model and lower in all mixed models (Fig. 3B). The photorespiratory rate is a function of the CO2 and O2 concentration around Rubisco. In this simulation, O2 concentration was constant, because no LET generated O2 in BSCs, while there were additional pathways that increased CO2 concentration in BSCs (Supplementary Fig. S3 available at JXB online). Therefore, the simulations showed that the photorespiratory rate was suppressed in all mixed models; furthermore, compared to models including PEPCK activity, the standard NADP-ME model had a higher assimilation rate and lower leakiness while the Asp+MAL+ME model had a lower photorespiratory rate.

Transfer metabolite gradients and concentration changes

The mixed model presented for maize includes five transfer acids (Asp, malate, Ala, pyruvate, and PEP) and two decarboxylation enzymes. Yet the model predictions for assimilation rate, leakiness, and photorespiration dismissed a mixed model, because a mixed model showed lower energy-use efficiency and higher leakiness, although it suppressed photorespiration rate (Figs 2 and 3). Hence, this work tested whether a mixed model altered other parameters which may explain why the mixed pathway was realized during evolution. In theory, the concurrent use of several species of transfer acids will reduce the necessary concentration gradients for each of them (Fig. 4A and B). Movement of these metabolites between MCs and BSCs was assumed to follow a diffusional process through plasmodesmata, as has been suggested earlier. The transport rates are dependent on the concentration gradient and the diffusion coefficient of each individual metabolite.

The model simulation indicated that the malate gradient between MCs and BSCs was only slightly lower in all mixed models as compared to the standard NADP-ME model. The pyruvate gradient was also only slightly lower in the Asp+MAL and ME model, but it was approximately halved in the mixed model, which allowed for PEPCK activity. The reduction in pyruvate transport was compensated by concurrent transport of PEP and alanine, indicating that the model predictions confirmed the theoretical estimations with regard to the C3 but only marginally so for the C4 acids (Fig. 4C).

The concentrations of transfer acids were also different between the models. The highest amount of transfer acids was present in the standard NADP-ME model, closely followed by the Asp+MAL and ME model. The models using PEPCK activity had lower total transfer acid contents (Fig. 5A). For malate, the standard NADP-ME model predicted the highest content, followed by the Asp+MAL and ME model; the models using PEPCK had lower malate contents (Fig. 5B). For all other transfer acids, the Asp+MAL and ME model predicted the highest contents (Fig. 5C–F), for pyruvate up to 3-times higher compared to the mixed models (Fig. 5D). It is notable that the malate contents were an order of magnitude higher compared to the other transfer acids (Fig. 5B).

In summary, the models including PEPCK activity had lower transfer acids contents and lower gradients, which matched the aforementioned theoretical considerations (Fig. 5).

Mixed pathways shift the optimal energy allocation between BSCs and MCs and show that linear electron transport in BSCs is permissible

Theoretically, using different transfer acids should also affect the optimum of light energy allocation between MCs and BSCs, assuming that LET is present and no reducing equivalents are shuttled by metabolites. However, the model predicted very similar optimal light allocations for four different assumptions of LET (Fig. 6); hence, reducing equivalents could not exclusively result from LET but must be shuttled also by metabolites. All LET-BSC assumptions predicted that 60–70% of light is allocated to the MCs for optimal photosynthetic assimilation rates. Compared to a standalone NADP-ME type C4 photosynthesis, the Asp+MAL and ME model was predicted to have a higher photosynthesis rate if MCs absorbed more than 70% of incident light, while the Asp+MAL and PEPCK model was predicted to have a higher photosynthesis rate if MCs absorbed less than 50% of light (Fig. 6). The highest rates achieved mirror those of Fig. 2, with the standard model reaching the highest assimilation rate followed by the Asp+MAL and ME model, followed by the models using PEPCK.

The curves for all models except for the Asp+PEPCK model were essentially invariant in various LET ratios in BSCs. All curves peaked at similar assimilation values, indicating that different assumptions of BSC LET permitted similarly optimal photosynthetic rates.

Photosystem II in BSCs is essential for a pathway where only aspartate and PEPCK are used

When no LET was assumed in BSCs, the model which assumed only aspartate as the transfer acid and only PEPCK as the decarboxylase, predicted a zero photosynthetic CO2 uptake rate, no matter how high the PEPCK and AspAT activities were set (Fig. 7). Aspartate does not transfer reducing equivalents to BSCs and the latter cannot generate NADPH through light reactions in the absence of LET, therefore no NADPH to support the CO2 assimilation by the Calvin–Benson cycle in BSCs is available in this scenario. In a system with LET in the BSCs, the rate of photosynthetic CO2 uptake was proportional to the rate of LET in the BSCs. As shown in Fig. 6, the optimal energy allocation was in MCs and BSCs was 20 and 80%, respectively, of total incident light energy.

Discussion

This work first discusses the potential physiological significance of having mixed C4 pathways on the basis of theoretical analyses using a systems modelling approach. Then it discusses whether the current classification of C4 subtypes should be reconsidered.

This work tested different models of C4 photosynthesis with regard to transfer acids and decarboxylation enzymes. The models indicated that a standard NADP-ME model was favoured with regard to total photosynthetic rate at low PPFD, because higher leakiness of mixed models decreases energy-use efficiency at low PPFD. Under high light, models with ME as the decarboxylation enzyme were superior over models that assumed PEPCK as the sole or partial decarboxylation enzyme (Fig. 2). A higher CO2 concentration in the BSC chloroplasts will increase photosynthetic efficiency of Rubisco. However, PEPCK releases CO2 in BSC cytosol, while NADP-ME releases CO2 in BSC chloroplasts, which hence shows superiority under high-light conditions (Supplementary Fig. S3 available at JXB online). Leakiness was also lowest for the classical NADP-ME model. Having a mixed pathway increased the overall C4 pathway activity since it reduced limitations on acid generation and transport in the C4 cycle, while the Calvin–Benson cycle activity stayed the same. The faster C4 cycle released more CO2 in BSCs (enhanced overcycling), which increased the CO2 concentration in BSCs (Supplementary Fig. S3 available at JXB online). As a result, leakiness increased in all mixed models (Fig. 3A). Additional pathways should increase leakiness, but the model might somewhat overestimate the increase in leakiness. Because of the limitation of ordinary differential equation models, the current models could not include the positioning of the organelles and therefore neglected cytosolic resistance, which is also a part of the total bundle sheath resistance, especially important for the PEPCK and NAD-ME subtype. This is the most likely reason for the overestimation of leakiness in the current models, especially for leakiness of CO2 released by PEPCK in BS cytosol (Fig. 3A). Yet, for many C4 species, PEPCK activity in addition to NADP-ME or NAD-ME activity, is well documented. Hence, this work interrogated the models to identify factors that might explain why mixed models were favoured in evolution.

Physiological significance of having mixed C4 pathways

In a mixed pathway, in addition to malate and pyruvate, also aspartate, PEP, and alanine are used as transfer acids between MCs and BSCs. Utilizing two C4 acids and three C3 acids can reduce the diffusion requirements for any one acid between MCs and BSCs, because the total flux of the C4 and C3 acids is shared between two or three metabolites. The simulations indicated that a mixed pathway reduced the metabolite concentrations and gradients required to sustain the C4 cycle (Fig. 4A and B).

In the model, since the flux through Asp was set to around 25%, according to the carbon label partition experiment by, the gradient necessary for malate was reduced but not halved, while the gradients for pyruvate, especially for the mixed models which include PEPCK activity, were substantially reduced for each transfer acid (Fig. 4C). This is because the flux through the C3 acid can be shared by pyruvate, PEP, and alanine in a mixed pathway. This might at least partially explain the phenomenon that no concentration gradient was measured for pyruvate between BSCs and MCs in maize. Until now, no C4 species has been reported in which only one C4 and one C3 transfer acid is in use; hence, evolution has implemented multiple transfer acids in all C4 plants studied so far.

Concomitant with the decreased concentration gradients, mixed C4 pathways also lead to decreased concentrations of transfer acids, except the Asp+MAL and ME type under high light (Fig. 5). The finding that the Asp+MAL and ME type had higher acid concentrations has two possible explanations. One is that this model displayed a higher photosynthesis rate and higher leakiness (Figs 2 and 3), which indicates that C4 cycle flux in the Asp+MAL and ME type was much higher than other models: higher fluxes demand relatively higher metabolite concentrations. The other reason is that the simulated pyruvate concentration was much higher than other models’ predictions. In the Asp+MAL and ME model, although both alanine and pyruvate moved back to MCs, all of the alanine was needed to form pyruvate again before transport into MC chloroplasts to generate PEP by pyruvate phosphate dikinase. Therefore, in the Asp+MAL and ME model, more pyruvate accumulated in MCs, and the concentration of pyruvate in BSCs was also higher, to maintain the concentration gradient for diffusion. Having a decreased concentration of transfer acids might also prevent excessive accumulation of acidic substances, and decreasing the concentration of pyruvate can be beneficial because pyruvate is highly diffusible and thus its fluxes are difficult to control.

The recruitment of amino transferases to the C4 cycle might have been facilitated by the ubiquitous presence of relatively high activities of Asp aminotransferase and Ala aminotransferase activities in many C3 plants (compare with;; ). Possibly, C4 plants early in evolution may have initially utilized Asp as the predominant transfer acid, exploiting the fact that the presence of high amounts of glutamate as an amino donor and high amounts of OAA produced by increased PEPC activity would drive Asp aminotransferase to transaminate OAA to Asp.

In addition to reducing the concentration gradients required to run the C4 cycle, having a mixed pathway would increase the robustness of C4 metabolism by maintaining the energy balance between MCs and BSCs in response to rapidly changing light conditions. Energy balances, including both NADPH and ATP balance, in both BSCs and MCs are required for maintaining a high efficiency of C4 photosynthesis. This theoretical study suggested that mixed C4 pathways, compared to a pathway with NADP-ME subtype C4 photosynthesis, inherently have extra mechanisms to maintain energy balances.

First, changing the proportion of transferred C4 acid (i.e. the ratio of transported malate to aspartate) modulates the NADPH balance between MCs and BSCs. If malate is used as the transfer acid, it will move NADPH to the BSCs simultaneously; while, if aspartate is used, no NADPH is moved to the BSCs. Secondly, the utilization of PEPCK, which uses ATP in BSCs, as decarboxylase, can increase the ATP requirement in BSCs. Thirdly, the PSII levels in BSCs chloroplasts control the NADPH production in BSCs, which correspondingly influences the NADPH balance. Consistent with this hypothesis, the PSII contents of BSCs in a number of species conducting NADP-ME type photosynthesis have been shown to be proportional to the amount of aspartate produced as the translocated C4 acid. Since LET in the bundle sheath leads to the liberation of oxygen at the site of Rubisco, one may ask whether the absence of LET improves C4 photosynthetic efficiency. The modelling study suggests that the peak assimilation rate is independent of the amount of LET in BSCs as long as the LET ratio is half or less (Fig. 6). This may be related to why a range of BSC chloroplast morphologies, representing different amounts of LET, can be identified in C4 plants

The ability to utilize multiple decarboxylases and transfer acids can potentially enable C4 photosynthesis to maintain higher photosynthetic efficiency under a wider range of light regimes, where allocations of light into MCs and BSCs differ. Under conditions where BSCs absorb more light, PEPCK can use the extra energy in BSCs to operate the CO2 pump and decrease the energy demand of pyruvate phosphate dikinase in MCs. The simulation results indicated that the Asp+MAL and PEPCK type could obtain higher photosynthesis rate if MCs absorbed less than 50% of light as compared to the NADP-ME type (Fig. 6). Under conditions where MCs absorbed more light, the usage of aspartate as the transfer acid reduced NADPH transferred from MCs to BSCs, more PGA will be moved to MCs to use the NADPH and ATP in MCs. The Asp+MAL and ME type can obtain a higher photosynthetic rate than the NADP-ME type if MC absorbs more than 70% of light (Fig. 6). Therefore, a mixed C4 pathway provides robustness to the pathway under fluctuating environmental conditions.

Despite having all these aforementioned benefits of mixed pathways, a mixed pathway can lead to increased leakiness, which reduces photosynthetic efficiency. However, C4 plants have evolved mechanisms to cope with this inevitable consequence. Modelling analysis showed that reduced PEPC activity could decrease leakiness without significantly affecting the photosynthetic rate (Supplementary Fig. S2 available at JXB online). If PEPC activity was decreased by 15%, leakiness was reduced by about 7% in high-light conditions. Coincidently, enzyme activity data of a leaf developmental gradient in Z. mays show that in the tip of the leaf PEPC activity decreased when PEPCK activity was significantly elevated. A similar negative correlation of PEPCK and PEPC activity was also found in C. gynandra. PEPC protein amounts also slightly decreased in the tip of maize; however, the RNA expression increased in the tip. The experimental evidence indicated that C4 plants may have evolved post-transcriptional regulatory mechanisms to limit leakiness and maintain high photosynthetic efficiency

Even with all these mechanisms to regain energy balances in BSCs and MCs, C4 leaves can still suffer energy imbalances between BSCs and MCs under a few artificial conditions, which correspondingly decrease photosynthetic efficiency. As an example, under blue light the photosynthetic efficiency of a C4 plant decreases more than that of a C3 plant. This is possibly because blue light is strongly absorbed by surface MCs, which leaves little energy available for BSCs to gain an energy balance required to maintain a higher photosynthetic efficiency.

C4 plants can be effectively classified into either NADP-ME or NAD-ME type C4 photosynthesis

Given these physiological significance of having mixtures of C4 decarboxylases and transfer acids, are there three subtypes of C4 photosynthesis? The standard NADP-ME model has not been realized in any C4 plant studied to date. S. bicolor might represent the Asp+MAL and ME type since no PEPCK activity has been reported. The C4 genus Flaveria also has very limited PEPCK activity and thus is closer to the Asp+MAL and ME type of C4 photosynthesis than to the Asp+MAL and ME+PEPCK type. The Asp+MAL and ME+PEPCK model is represented by maize with NADP-ME as the ME, by C. gynandra with NAD-ME as the ME and by multiple other dicot species of the order Caryophyllales. Similarly, plants that realize a PEPCK-only model have not been identified so far. The metabolic process of the PEPCK pathway usually also includes the reactions involved in the NAD-ME type C4 photosynthesis. On this aspect, plants that use PEPCK as the dominating decarboxylase but not as the only decarboxylase do exist in monocotyledons. For example, Zoysia japonica Steud in Eragrostoideae and Urochloa panicoides Beauv in Panicoideae have 3–5 times higher PEPCK activity than those of the NADP-ME and NAD-ME.

Recent genome-scale transcriptomic analyses in combination with enzyme activity assays have further shown that maize and C. gynandra have PEPCK activity in the C4 cycle. Based on literature research and the modelling effort, the present work sorted these species, in addition to Megathyrsus maximus, a C4 plant classified as PEPCK type, and S. bicolor, a species with a relatively ‘pure’ NADP-ME type decarboxylation chemistry, according to the proportion of PEPCK in total decarboxylase activity in both NADP-ME and NAD-ME type C4 photosynthesis (Fig. 8E). Apparently, PEPCK plays a bigger role than previously assumed. Not only classical PEPCK plants but also NADP-ME and NAD-ME plants use substantial amounts of decarboxylation by PEPCK (see also;;;; ). It might therefore be useful to consider C4 plants as either NAD-ME or NADP-ME plants, as there is a clear demarcation line based on the type of decarboxylase, with variable contributions of PEPCK (Fig. 8A–D). In other words, PEPCK might be considered as a supplementary activity to the malate-decarboxylating enzymes, not as an independent C4 decarboxylation activity, with the benefits of providing additional mechanisms to balance energy between BSCs and MCs and helping to decrease the metabolite concentrations of the transported acids.

However, many C4 dicots and monocots (e.g. sorghum; Fig. 8E), do not show high activities of PEPCK in some measurements, which possibly indicates that these species do not use PEPCK as a supplemental decarboxylation enzyme. This model analysis showed that standalone NADP-ME pathway also has good photosynthetic performance in many cases (Figs 2, 3, and 6). Even within the same plant, PEPCK activity can be flexible (e.g. high PEPCK activity is only detected in the tip of a maize leaf and in old leaves of cleome;; ). Therefore, the current analysis shows that the single NADP-ME pathway and the mixed pathways each have their own advantages (Figs 2–6): if the flux allocation in different pathways is flexible in C4 plants, these plants can have better adaptability under changing environmental conditions.

Can the PEPCK pathway exists in isolation: i.e. is there a C4 photosynthetic subtype where no NAD-ME or NADP-ME exists at all? Analysis from this study showed that photosystem II in BSCs is essential for a pure PEPCK C4 photosynthetic pathway that uses only PEPCK as the decarboxylase and only aspartate as the C4 transfer acid from MCs to BSCs (Fig. 7). This is because NADPH, which is required for 3-PGA reduction in the Calvin Benson Cycle, cannot be generated in such a C4 pathway unless there is LET in BSCs (i.e. only if there is PSII in BSCs). A higher LET rate in BSCs is needed for a high photosynthesis rate (Fig. 7) in such a pathway. In this case, PEPCK releases CO2 in BSCs cytosol and uses ATP in BSCs. Thus a PEPCK-only type prefers more energy allocated to BSCs. The current theoretical analysis suggests that the optimal energy allocation was 20% in MCs and 80% in BSCs. This, however, is next to impossible to realize because of the structure of the Kranz anatomy, where BSCs are surrounded by MCs and correspondingly light will be inevitably preferentially absorbed by MCs before reaching the BSCs. This unbalanced energy supply and usage in BSCs and MCs might have prevented evolution of C4 plants with PEPCK as the only decarboxylase and aspartate as the only transfer acid.

Another possibility that may limit the existence of the PEPCK-only pathway is the inability to maintain a proper amino group balance between BSCs and MCs. In the PEPCK pathway, aspartate is transported from MCs to BSCs, and PEP was transported from BSCs back to MCs, which creates an imbalance of amino groups between two cell types. This problem can be solved in the PEPCK-only type model if amino groups are transported back to MCs in the form of alanine, and a reversed pyruvate transport together with alanine keeps both amino group and carbon transport balanced in both MCs and BSCs.

Conclusion

In summary, this modelling analysis and literature survey shows that a mixed mode of C4 photosynthesis provides metabolic robustness through reduced metabolite gradients and metabolite concentrations. Operation of a mixed mode of C4 photosynthesis can confer higher ecological robustness due to increased tolerance to fluctuating light conditions. A pure PEPCK-type C4 photosynthesis is not beneficial because the energy requirements in BSCs cannot be fulfilled due to them being shaded by MCs. Hence, only the NAD-ME and NADP-ME subtypes should be considered as distinct subtypes, with the PEPCK pathway as a supplement to these.

Supplementary material

Supplementary data are available at JXB online.

Supplementary Fig. S1. The structure of the mixed-pathway model of C4 photosynthesis.

Supplementary Fig. S2. Decreased PEPC reduced leakiness level of the Asp+MAL and PEPCK+ME model.

Supplementary Fig. S3. Simulated CO2 concentration of BSC cytosol and chloroplast.

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    Chapman KSR Hatch MD 1981 Aspartate decarboxylation in bundle sheath-cells of Zea mays and its possible contribution to C4 photosynthesis. Australian Journal of Plant Physiology 8, 237–248

    Not in our library

  5. 5.

    Cousins AB Badger MR Von Caemmerer S 2006 Carbonic anhydrase and its influence on carbon isotope discrimination during C4 photosynthesis. Insights from antisense RNA in Flaveria bidentis. Plant Physiology 141, 232–242

    Not in our library10.1104/pp.106.077776

  6. 6.

    Edwards GE Franceschi VR Voznesenskaya EV 2004 Single-cell C4 photosynthesis versus the dual-cell (Kranz) paradigm. Annual Review of Plant Biology 55, 173–196

    Not in our library10.1146/annurev.arplant.55.031903.141725

  7. 7.

    Evans JR 1989 photosynthesis and nitrogen relationships in leaves of C3 plants. Oecologia 78, 9–19

    Not in our library10.1007/bf00377192

  8. 8.

    Evans JR Vogelmann TC von Caemmerer S 2007 Balancing light capture with disturbed metabolic demand during C4 photosynthesis. In: Sheehy JE Mitchell PL Hardy B, eds, Charting new pathways to C4 rice. Los Banos, Philippines: International Rice Research Institute, pp 127–143

    Not in our library

  9. 9.

    Farquhar GD Caemmerer SV Berry JA 1980 A biochemical-model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149, 78–90

    Not in our library10.1007/bf00386231

  10. 10.

    Furbank RT 2011 Evolution of the C4 photosynthetic mechanism: are there really three C4 acid decarboxylation types? Journal of Experimental Botany 62, 3103–3108

    Not in our library10.1093/jxb/err080

  11. 11.

    Furumoto T Hata S Izui K 1999 cDNA cloning and characterization of maize phosphoenolpyruvate carboxykinase, a bundle sheath cell-specific enzyme. Plant Molecular Biology 41, 301–311

    Not in our library10.1023/a:1006317120460

  12. 12.

    Furumoto T Hata S Izui K 2000 Isolation and characterization of cDNAs for differentially accumulated transcripts between mesophyll cells and bundle sheath strands of maize leaves. Plant Cell Physiology 41, 1200–1209

    Not in our library10.1093/pcp/pcd047

  13. 13.

    Ghannoum O von Caemmerer S Conroy JP 2001 Carbon and water economy of Australian NAD-ME and NADP-ME C-4 grasses. Australian Journal of Plant Physiology 28, 213–223

    Not in our library

  14. 14.

    Gowik U Bräutigam A Weber KL Weber AP Westhoff P 2011 Evolution of C4 photosynthesis in the genus Flaveria: how many and which genes does it take to make C4? The Plant Cell 23, 2087–2105

    Not in our library10.1105/tpc.111.086264

  15. 15.

    Gutierrez M Gracen VE Edwards GE 1974 Biochemical and cytological relationships in C4 plants. Planta 119, 279–300

    Not in our library10.1007/bf00388331

  16. 16.

    Hatch MD Slack CR 1966 Photosynthesis by sugar-cane leaves: a new carboxylation reaction and the pathway of sugar formation. The Biochemistry Journal 101, 103–111

    Not in our library10.1042/bj1010103

  17. 17.

    Hatch MD 1971 C4 pathway of photosynthesis. Evidence for an intermediate pool of carbon dioxide and identity of donor C4 dicarboxylic acid. The Biochemistry Journal 125, 425–432

    Not in our library10.1042/bj1250425

  18. 18.

    Hatch MD Kagawa T Craig S 1975 Subdivision of C4 pathway species based on differing C4 decarboxylating systems and ultrastructural features. Australian Journal of Plant Physiology 2, 111–128

    Not in our library

  19. 19.

    Hatch MD 1987 C4 photosynthesis: a unique blend of modified biochemistry, anatomy and ultrastructure. Biochimica et Biophysica Acta 895, 81–106

    Not in our library

  20. 20.

    Henderson SA Voncaemmerer S Farquhar GD 1992 Short-term measurements of carbon isotope discrimination in several C4 species. Australian Journal of Plant Physiology 19, 263–285

    Not in our library

  21. 21.

    Kanai R Edwards GE 1999 The biochemistry of C4 photosynthesis. In: Sage RF Monson RK, eds, C4 plant biology. UK: Academic Press, pp 49–87

    Not in our library

  22. 22.

    Leegood RC Voncaemmerer S 1989 Some relationships between contents of photosynthetic intermediates and the rate of photosynthetic carbon assimilation in leaves of Zea mays L. Planta 178, 258–266

    Not in our library10.1007/bf00393202

  23. 23.

    Majeran W Friso G Ponnala L 2010 Structural and metabolic transitions of C4 leaf development and differentiation defined by microscopy and quantitative proteomics in maize. The Plant Cell 22, 3509–3542

    Not in our library10.1105/tpc.110.079764

  24. 24.

    Meister M Agostino A Hatch MD 1996 The roles of malate and aspartate in C4 photosynthetic metabolism of Flaveria bidentis (L). Planta 199, 262–269

    Not in our library

  25. 25.

    Muhaidat R Sage RF Dengler NG 2007 Diversity of Kranz anatomy and biochemistry in C4 eudicots. American Journal of Botany 94, 362–381

    Not in our library10.3732/ajb.94.3.362

  26. 26.

    Muhaidat R McKown AD 2013 Significant involvement of PEP-CK in carbon assimilation of C4 eudicots. Annals of Botany 111, 577–589

    Not in our library10.1093/aob/mct017

  27. 27.

    Ögren E Evans JR 1993 Photosynthetic light-response curves. 1. The influence of CO2 partial-pressure and leaf inversion. Planta 189, 182–190

    Not in our library

  28. 28.

    Pick TR Bräutigam A Schluter U 2011 Systems analysis of a maize leaf developmental gradient redefines the current C4 model and provides candidates for regulation. The Plant Cell 23, 4208–4220

    Not in our library10.1105/tpc.111.090324

  29. 29.

    Sommer M Bräutigam A Weber APM 2012 The dicotyledonous NAD malic enzyme C4 plant Cleome gynandra displays age-dependent plasticity of C4 decarboxylation biochemistry. Plant Biology 14, 621–629

    Not in our library10.1111/j.1438-8677.2011.00539.x

  30. 30.

    Stitt M Heldt HW 1985 Generation and maintenance of concentration gradients between the mesophyll and bundle sheath in maize leaves. Biochimica et Biophysica Acta 808, 400–414

    Not in our library

  31. 31.

    Sun W Ubierna N Ma JY Cousins AB 2012 The influence of light quality on C4 photosynthesis under steady-state conditions in Zea mays and Miscanthus giganteus: changes in rates of photosynthesis but not the efficiency of the CO2 concentrating mechanism. Plant, Cell and Environment 35, 982–993

    Not in our library10.1111/j.1365-3040.2011.02466.x

  32. 32.

    Taniguchi M Kobe A Kato M Sugiyama T 1995 Aspartate aminotransferase isozymes in Panicum miliaceum L, an NAD-malic enzyme-type C4 plant comparison of enzymatic-properties, primary structures, and expression patterns. Archives of Biochemistry and Biophysics 318, 295–306

    Not in our library10.1006/abbi.1995.1233

  33. 33.

    Vogelmann TC Evans JR 2002 Profiles of light absorption and chlorophyll within spinach leaves from chlorophyll fluorescence. Plant, Cell and Environment 25, 1313–1323

    Not in our library

  34. 34.

    Vogelmann TC Han T 2000 Measurement of gradients of absorbed light in spinach leaves from chlorophyll fluorescence profiles. Plant, Cell and Environment 23, 1303–1311

    Not in our library

  35. 35.

    von Caemmerer S Furbank RT 1999 Modelling of C4 photosynthesis. In: Sage R Monson RK, eds, C4 plant biology. UK: Academic Press, pp 173–211

    Not in our library

  36. 36.

    von Caemmerer S 2000 Biochemical models of leaf photosynthesis. Collingwood: CSIRO Publishing

    Not in our library

  37. 37.

    von Caemmerer S Furbank RT 2003 The C4 pathway: an efficient CO2 pump. Photosynthesis Research 77, 191–207

    Not in our library10.1023/a:1025830019591

  38. 38.

    Walker RP Acheson RM Tecsi LI Leegood RC 1997 Phosphoenolpyruvate carboxykinase in C4 plants: its role and regulation. Australian Journal of Plant Physiology 24, 459–468

    Not in our library

  39. 39.

    Wang Y Long SP Zhu XG 2014 Elements required for an efficient NADP-ME type C4 photosynthesis—exploration using a systems model of C4 photosynthesis. Plant Physiology (in press).

    Not in our library10.1104/pp.113.230284

  40. 40.

    Weber APM Bräutigam A 2013 The role of membrane transport in metabolic engineering of plant primary metabolism. Current Opinion in Biotechology 24, 256–262

    Not in our library10.1016/j.copbio.2012.09.010

  41. 41.

    Wingler A Walker RP Chen ZH Leegood RC 1999 Phosphoenolpyruvate carboxykinase is involved in the decarboxylation of aspartate in the bundle sheath of maize. Plant Physiology 120, 539–545

    Not in our library10.1104/pp.120.2.539

  42. 42.

    Yoshimura Y Kubota F Ueno O 2004 Structural and biochemical bases of photorespiration in C4 plants: quantification of organelles and glycine decarboxylase. Planta 220, 307–317

    Not in our library10.1007/s00425-004-1335-1

  43. 43.

    Zhu XG de Sturler E Long SP 2007 Optimizing the distribution of resources between enzymes of carbon metabolism can dramatically increase photosynthetic rate: a numerical simulation using an evolutionary algorithm. Plant Physiology 145, 513–526

    Not in our library10.1104/pp.107.103713

  44. 44.

    Zhu XG Long SP Ort DR 2008 What is the maximum efficiency with which photosynthesis can convert solar energy into biomass? Current Opinion in Biotechology 19, 153–159

    Not in our library10.1016/j.copbio.2008.02.004

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