Abstract
It has long been held that the low photosynthetic rates (A) of coffee leaves are largely associated with diffusive constraints to photosynthesis. However, the relative limitations of the stomata and mesophyll to the overall diffusional constraints to photosynthesis, as well as the coordination of leaf hydraulics with photosynthetic limitations, remain to be fully elucidated in coffee. Whether the low actual A under ambient CO2 concentrations is associated with the kinetic properties of Rubisco and high (photo)respiration rates also remains elusive. Here, we provide a holistic analysis to understand the causes associated with low A by measuring a variety of key anatomical/hydraulic and photosynthetic traits in sun- and shade-grown coffee plants. We demonstrate that leaf hydraulic architecture imposes a major constraint on the maximisation of the photosynthetic gas exchange of coffee leaves. Regardless of the light treatments, A was mainly limited by stomatal factors followed by similar limitations associated with the mesophyll and biochemical constraints. No evidence of an inefficient Rubisco was found; rather, we propose that coffee Rubisco is well tuned for operating at low chloroplastic CO2 concentrations. Finally, we contend that large diffusive resistance should lead to large CO2 drawdown from the intercellular airspaces to the sites of carboxylation, thus favouring the occurrence of relatively high photorespiration rates, which ultimately leads to further limitations to A.
Introduction
Because CO2 influx and water vapour efflux share a common pathway through the stomatal pores on leaf surfaces, a trade-off between transpirational costs and CO2 assimilation is implicitly unavoidable. The coupling between stomatal conductance (g s) to CO2 and water vapour (and the need to maintain a proper leaf water balance) has often been evidenced by the strong positive scaling between g s and the leaf hydraulic conductance per unit area, K L [1]–[3]. In turn, the significance of K L as a potentially limiting component of the vascular system has been further emphasised by the strong hydraulic-photosynthetic coordination observed across a large sample of diverse species [4]. Furthermore, K L is closely related to the anatomy of the leaf: K L has been shown to be positively related to both the theoretical axial conductivity of the midrib (determined from xylem conduit numbers and dimensions) and the venation density, D v [3], [5]. A unified control of hydraulic and photosynthetic traits may also be further highlighted by comparing shade and sun leaves: the former have lower rates of net CO2 assimilation (A) and g s, therefore leading to lower demand for water and correspondingly lower K L and D v [4], [6].
In addition to stomatal limitations, A is currently known to be constrained by mesophyll conductance (g m), which is defined as the conductance for the transfer of CO2 from the intercellular airspaces (C i) to the sites of carboxylation in the chloroplastic stroma (C c) [7]. According to Flexas et al. [8], g m limitations to photosynthesis are of similar magnitude as stomatal constraints and generally greater than biochemical limitations. Increasing evidence has shown that g m is often intrinsically co-regulated with g s [8]. More recently, Ferrio et al. [9] showed a positive scaling between g m and K L and proposed that water and CO2 share an important portion of their respective diffusion pathways through the mesophyll; thus, any downregulation of leaf hydraulics may reduce not only g s but also g m, both of which contribute to reducing A. Quantification of g m has become important in predicting leaf photosynthetic parameters using the Farquhar-von Caemmerer-Berry (FvCB) model of leaf photosynthesis [10] because such a model underestimates the maximum Rubisco carboxylation rate (V cmax) by considering g m as being infinite [11], [12]. Furthermore, changes in C i –C c because of variations in g m among species result in different A values in plants with the same biochemical activity and g s [7].
At lower C c, A is limited by RuBP carboxylase activity, which in turn depends on the concentration, activation and kinetic properties of Rubisco [13]. For example, Rubisco with a higher specificity factor, S c/o (which determines the relative rates of carboxylation and oxygenation by Rubisco at given CO2 and O2 concentrations), could be regarded as conferring an advantage in minimising photorespiration rates, R P [14]. Interestingly, Rubisco seems to have evolved towards higher S c/o under stressful conditions leading to low C c, such as drought, salinity and high temperature [14]. Additionally, species evolved under stressful conditions with sclerophyll leaves tend to display a higher S c/o, which may again be related to lower C c [14], [15]. However, trade-offs between S c/o (or particularly the affinity for CO2 (1/K C)) and the carboxylase turnover rate (k cat c) have been described, so that there is no Rubisco in nature with both high affinity for CO2 and fast activity [16]. At saturating C c, A becomes limited by the capacity for the regeneration of RuBP (often dominated by the electron transport capacity) but also by S c/o [17]. In any case, when studying the ecophysiology of plants, Rubisco kinetic parameters should not be considered a constant but rather as an active part determining the biochemical potential of plants to assimilate CO2 under optimal and suboptimal conditions.
Coffee is an evergreen perennial shrub with hypostomatous leaves that evolved in the African forest understoreys and is thus considered a shade-demanding species. However, in many situations, modern coffee cultivars grow well without shade and even out-yield shaded coffee [18], [19]. At atmospheric CO2 concentrations and saturating light, coffee displays low A, typically in the range of 4–11 µmol CO2 m−2 s−1 [20], [21], which is in the lower range recorded for trees [22]. However, the maximum A values obtained in common A/C i curves can surpass 20 µmol CO2 m−2 s−1 [23], whereas the photosynthetic capacity, determined under true CO2 saturation (∼50 mmol CO2 mol−1 air), reaches values exceeding 30 µmol O2 m−2 s−1 [21]. Taking the above information together, the low A in coffee might largely result from diffusive constraints to photosynthesis [24]. However, the relative contributions of the stomata and mesophyll to the overall diffusional limitations to photosynthesis, as well as the coordination of leaf hydraulics with photosynthetic limitations, remain to be fully elucidated in coffee. Furthermore, the anticipated low g s and g m would compromise the transference of CO2 through stomata and leaf mesophyll to Rubisco sites, therefore decreasing C c and ultimately favouring RuBP oxygenation in relation to carboxylation [25]. Under these conditions, Rubisco kinetic properties with a high affinity for CO2 may be critical to secure optimal carbon balance and yield.
Although the general descriptors of the ecophysiology of sun-shade plants are well-known, an integrative analysis of these descriptors has rarely been performed in conjunction (hydraulics, stomata, mesophyll, Rubisco, etc). Here, we provide a holistic analysis to understand the causes associated with low A in coffee by measuring a variety of key anatomical/hydraulic and photosynthetic traits, including D v, K L, the actual and maximum theoretical g s (g wmax) and several parameters from A/C i and A/C c curves. We have centred our attention on coffee given that, in addition to being a highly important commodity [18], it could also be considered as a model plant for other important crops which evolved as understorey trees, such as cacao, citrus and tea; these crops are traditionally considered to have low A (seldom above 10 µmol CO2 m−2 s−1, even in the field under favourable conditions) likely as consequence of large diffusive, rather than biochemical, limitations to photosynthesis [26]. Our main goals were (i) to examine the role of leaf hydraulics as a prime limiting factor for photosynthetic gas exchange, (ii) to calculate g m to properly parameterise the responses of A to C c, and (iii) to disentangle the relative contributions of stomatal, mesophyll and biochemical limitations to photosynthesis, and how all of these facts may be affected by the light supply. A further goal was to analyse how the kinetic properties of coffee’s Rubisco [27] may affect the actual A and evaluate if Rubisco in coffee is well tuned for operating at low C c by comparing it with the highly efficient Rubisco of Limonium gibertii; this shade-intolerant species is particularly adapted to highly stressing environments, whose Rubisco has evolved under extremely low C c ranges [14]. We demonstrate that leaf hydraulic architecture imposes a major constraint on the maximisation of the photosynthetic gas exchange of coffee leaves and that A was mainly limited by stomatal factors followed by similar limitations associated with mesophyll and biochemical constraints, regardless of the light supply. We also found that, despite the relatively high S c/o of coffee Rubisco, the large diffusive resistances favour the occurrence of relatively high R P, which ultimately leads to further limitations to A.
Materials and Methods
Plant Material, Growth Conditions and Experimental Design
The experiment was conducted in Viçosa (20°45′S, 42°54′W, altitude 650 m) in southeastern Brazil. Uniform seedlings of Coffea arabica L. cv ‘Catuaí Vermelho IAC 44′ obtained from seeds were grown in 12 L pots containing a mixture of soil, sand and composted manure (4∶1∶1, v/v/v). Plants were grown either under full sunlight conditions (100% light) or under low light in a shade environment (10% full sunlight). The shade enclosure was constructed using neutral-density black nylon netting, and the plants were kept in these conditions for 12 months before measurements. Throughout the experiment, the plants were grown under naturally fluctuating conditions of temperature and relative air humidity and were fertilised and irrigated as necessary. The pots were randomised periodically to minimise any variation within each light environment. For all samplings and measurements, the youngest fully expanded leaves, corresponding to the third or fourth pair from the apex of the plagiotropic branches, were used. The experiment was arranged in a completely randomised design, with six plants in individual pots per treatment as replicates. The experimental plot included one plant per container.
Morpho-anatomical Features and Related Hydraulic and Diffusive Traits
The specific leaf area (SLA) was computed using the dry mass of 20 leaf discs (1.13 cm diameter each). For anatomical measurements, leaves were collected and fixed in FAA70 for 48 h, followed by storage in 70% (v/v) aqueous ethanol. Samples of the mean region of each leaf blade were embedded in methacrylate (Historesin–Leica Microsystems Nussloch, Heidelberg, Germany) according to the manufacturer. Transverse sections (7 µm thickness), obtained using a rotary microtome (model RM2155, Leica Microsystems Inc., Deerfield, USA), were stained with toluidine blue at pH 4.0 and mounted in synthetic resin (Permount). Anatomical data were quantified using an image analysis program (Image Pro-Plus, version 4.5, Media Cybernetics, Silver Spring, USA). Video images were acquired using a video camera attached to an Olympus microscope (AX70TRF, Olympus Optical, Tokyo, Japan). The following anatomical data were then assessed: (i) total leaf thickness; (ii) palisade and spongy mesophyll thickness; (iii) upper and lower epidermis thickness; (iv) guard cell length (L); (v) vertical distance from the vein to stomatal epidermis, D v-e; (vi) stomatal density (SD, according to DaMatta et al. [28]); (vii) stomatal index that was estimated as , where S and E are the number of stomata and epidermal cells per unit leaf area, respectively [29]; and (viii) stomatal pore index based on guard cell length (SPIgcl) that was estimated as . For determining venation traits, samples of leaf lamina were cut from two leaves per plant and cleared as described by Scoffoni et al. [30]. Regions of approximately 6 mm2 were imaged at 30X, and D v was calculated as the sum of the vein lengths divided by the total image area using the image analysis program described above. Leaf size was estimated, using the maximum leaf widths and lengths, with the equations described by Antunes et al. [31]. Stomatal size and epidermal cell size, as well as the level of coordination between anatomical traits and leaf size (quantified as the deviation from the expected proportional relationship to each other), were all determined following Carins Murphy et al. [6].
Midrib xylem conduits were measured to determine the theoretical midrib axial hydraulic conductance (K t), where the conduits were treated as ellipses to calculate K t as
where a and b are the long and short internal vessel diameters, and η is the viscosity of water at 25°C [32], further normalising by leaf length and area.
The maximum stomatal conductance to water vapour (g wmax) was calculated according to Franks et al. [33] as
where SD is the stomatal density, d W is the diffusivity of water vapour in air, a is the maximum area of the open stomatal pore, v is the molar volume of air, and l is the stomatal pore depth for fully open stomata. Values for standard constants d W and v were those for 25°C (24.9×10−6 m2 s−1 and 24.4×10−3 m3 mol−1, respectively). a was calculated as , where p is the stomatal pore length, which was approximated as L/2 according to Franks and Farquhar [34]. l for fully open stomata was taken as L/4, assuming guard cells inflate to a circular cross section [33].
Leaf Hydraulic Conductance
The leaf hydraulic conductance (K L) was estimated according to Brodribb and Holbrook [35] by following the kinetics of water potential (Ψl) relaxation in rehydrated leave as:
where C is leaf capacitance, estimated using pressure-volume curves [36], Ψo is Ψl before rehydration, and Ψf is Ψl after rehydration for t seconds. Leaf Ψl was measured using a Scholander-type pressure chamber (model 1000, PMS Instruments, Albany, NY, USA).
Gas Exchange and Fluorescence Measurements
Leaf gas exchange and chlorophyll a fluorescence were measured simultaneously using an open-flow infrared gas-exchange analyser system equipped with a leaf chamber fluorometer (LI-6400XT, Li-Cor, Lincoln, NE, USA). Environmental conditions in the leaf chamber consisted of a leaf-to-air vapour pressure deficit between 1.2 and 2.0 kPa and a leaf temperature of 25°C.
In light-adapted leaves, the actual quantum yield of PSII (ΦPSII) was determined by measuring steady-state fluorescence (F s) and maximum fluorescence during a light-saturating pulse of c. 8,000 µmol m−2 s−1 (F m′), following the procedures of Genty et al. [37]:
The electron transport rate (J F) was then calculated as
where PPFD is the photosynthetically active photon flux density, α is the leaf absorptance and β is the PSII optical cross section. The product α β was herein determined from the relationship between ΦPSII and ΦCO2, obtained by varying the CO2 concentration under non-photorespiratory conditions in an atmosphere containing less than 1% O2, as described by Valentini et al. [38].
The light respiration rate (R L) was determined according to the ‘Laisk-method’ [39], using the y axis intersection of A/C i (internal CO2 concentration) curves performed at three different PPFD intensities (750, 250 and 75 µmol m−2 s−1). The rate of mitochondrial respiration at darkness (R D) was measured early in the morning in dark-adapted leaves.
The photorespiratory rate of Rubisco (R P) was obtained according to Valentini et al. [38] using the following equation:
Six A/C i curves were obtained from different plants per treatment. In light-adapted leaves, A/C i curves were initiated at an ambient CO2 concentration (C a) of 400 µmol mol–1 under a saturating PPFD of 1000 µmol m–2 s–1. Once steady state was reached, C a was decreased stepwise to 50 µmol mol–1 air. Upon completion of the measurements at low C a, C a was returned to 400 µmol mol–1 air to restore the original A. Next, C a was increased stepwise to 2,000 µmol mol–1 air. A/C i curves consisted of 13 different C a values.
C c was calculated after Harley et al. [40] as
where Г* was determined from the in vitro Rubisco specificity factor (S c/o) as
A was taken from gas-exchange measurements, and the J F values were obtained from chlorophyll a fluorescence yield. After estimating C c, g m was calculated following Harley et al. [40]:
From the A/C i and A/C c curves, the maximum carboxylation capacity (V cmax) and maximum capacity for electron transport rate (J max) were calculated on a C i and C c basis using the kinetic parameters for coffee described in Martins et al. [27]. The FvCB model was fitted to the data by applying iterative curve fitting (minimum least square difference) using the Microsoft Excel Solver tool (Microsoft Corporation, Redmond, WA, USA). Additionally, g m, V cmax and J max were estimated using the Ethier and Livingston [11] method, which is based on fitting A/C i curves with a non-rectangular hyperbola version of the FvCB model, relying on the hypothesis that g m reduces the curvature of the Rubisco-limited portion of an A/C i response curve. Again, the kinetic parameters of Rubisco measured on coffee were used. Corrections for the leakage of CO2 and water vapour into and out of the leaf chamber of the Li-6400-40 have been applied to all gas-exchange data, as described by Rodeghiero et al. [41].
The chloroplastic CO2 concentration of transition (C c_trans), where C c denotes the transition between the Rubisco- and RuBP regeneration-limited states, was estimated as described by Gu et al. [42]:
where K m is the effective Michaelis–Menten constant for CO2 that considers the competitive inhibition by O2 which was taken from Martins et al. [27].
The overall photosynthetic limitations were partitioned into their functional components [stomatal (l s), mesophyll (l m) and biochemical (l b) limitations] using the values of g s, g m, V cmax, Г*, K m and C c following the approach proposed by Grassi and Magnani [43]:
where g s_CO2 is the stomatal conductance to CO2 (), g m is the mesophyll diffusion conductance according to Harley et al. [40] and g tot is the total conductance to CO2 from ambient air to chloroplasts (). ∂A/∂C c was calculated as:
Statistical Analyses
Data are expressed as the means ± standard error. Student’s t-tests were used to compare the parameters between treatments. Additionally, one sample t-tests were performed to compare the means for shade plants with the expected values if they were proportional to the sun plants. All statistical analyses were carried out using Microsoft Excel.
Results
Sun- and shade-grown individuals differed reasonably in venation architecture and mesophyll structure (Table 1). The sun leaves, compared with shade leaves, displayed a higher leaf thickness (15%) primarily resulting from a higher thickness of palisade (43%) and spongy (14%) mesophyll, which led to a higher palisade-to-spongy parenchyma ratio (25%) and lower SLA (39%). However, the upper and lower epidermis thickness and the maximum distance from the vein to the epidermis (D v-e) did not change in response to the light treatments. Sun-grown plants had 31% more midrib xylem conduits but with slightly lower mean conduit diameters (7%) than shade-grown plants. The sun plants displayed K t and K L values that were 160% and 58% higher, respectively, than in the shade individuals. Adjustments to the light treatments associated with the morphological characteristics of stomata were also observed, as denoted by higher SD (62%), stomatal index (27%) and SPIgcl (62%) in sun leaves compared with the shade leaves; however, both the guard cell length and stomatal size did not change in response to the light treatments. Vein density was proportional to 1/√ leaf area but slightly higher (17%) than would be expected if it was directly proportional to SD (Figure 1). In line with the differences in the stomatal index, SD and epidermal cell size deviated significantly from the expected proportional relationship to leaf area: SD was 25% higher and epidermal cell size was 31% lower in shade plants than would be expected if these variables were directly proportional (Figure 1). The maximum g s (g wmax), determined by the stomatal size and density, was larger (61%) in sun leaves than in the shade leaves.
Table 1. Anatomical and hydraulic traits of coffee plants grown under shade or full sunlight conditions.
Parameters | Treatments | |
Shade | Full sunlight | |
Specific leaf area (m2 kg−1) | 22.9±3.5 | 14.0±2.7* |
Total leaf thickness (µm) | 333.9±9.1 | 384.5±17.2* |
Palisade thickness (µm) | 52.6±1.2 | 75.24±4.4* |
Spongy thickness (µm) | 220.9±6.1 | 253.1±11.5* |
Upper epidermis thickness (µm) | 38.8±0.2 | 37.4±1.3 |
Lower epidermis thickness (µm) | 29.6±0.9 | 26.4±1.2 |
PP/SP | 0.24±0.01 | 0.30±0.01* |
SPIgcl | 0.104±0.006 | 0.168±0.003* |
Guard cell length (µm) | 28.0±0.7 | 28.9±0.4 |
Stomatal density (mm2) | 129.1±7.2 | 208.8±4.2* |
Stomatal index | 20.3±1.1 | 25.7±1.0* |
g wmax (mol m−2 s−1) | 1.16±0.05 | 1.82±0.02* |
Venation density (mm mm−2) | 4.0±0.1 | 5.5±0.2* |
Midrib vessel diameter (µm) | 22.8±0.2 | 21.3±0.4* |
Number of midrib conduits | 117±7 | 153±11* |
K t (mmol MPa−1 m−2 s−1) | 24.5±2.5 | 63.8±1.6* |
K L (mmol MPa−1 m−2 s−1) | 6.9±0.1 | 10.9±1.4* |
D v-e (µm) | 195.8±8.6 | 215.4±8.5 |
n = 6±SE. Asterisks indicate statistically significant differences (P<0.05) between shade and full sun treatments.
Abbreviations: PP:SP, palisade-to-spongy parenchyma ratio; SPIgcl, stomatal pore index based on guard cell length; g wmax, maximal theoretical stomatal conductance to water vapour; K t, midrib conductance; K L, leaf hydraulic conductance; D v-e, vertical distance from the vein to the stomatal epidermis.
Under saturating PPFD (1,000 µmol photons m−2 s−1), both A and g s values were higher (c. 55%) in sun leaves than in the shade leaves (Table 2). The values for several other photosynthetic/respiration parameters were also higher in sun leaves than in the shade leaves (Table 2): 60% for g m (average of two independent methods), 42% for V cmax, 45% for J max (for V cmax and J max, the values express averages obtained on C i and C c bases), 140% for R D, 200% for R L, 41% for R p and 51% for J F. In contrast, C i, C c, C c_trans and the ratios A/g s, g m/g s and J max/V cmax on both C i and C c bases did not differ significantly in response to the light treatments. V cmax and J max calculated on a C c basis were, on average, 101% and 37% higher than V cmax and J max, respectively, calculated on a C i basis, whereas the J max/V cmax ratio was on average 32% lower when calculated on a C c basis than on a C i basis.
Table 2. Mean values for the photosynthetic and respiration parameters of coffee plants grown under shade or full sunlight conditions.
Parameters | Treatments | |
Shade | Full Sun | |
A (µmol CO2 m–2 s–1) | 7.9±0.4 | 12.0±0.8* |
gs (mmol H2O m–2 s–1) | 94±9 | 146±17* |
g m_Harley (mmol CO2 m–2 s–1) | 76±4 | 116±10* |
g m_Ethier (mmol CO2 m–2 s–1) | 65±12 | 109±5* |
C i (µmol CO2 mol–1 air) | 247±11 | 246±7 |
C c_Harley (µmol CO2 mol–1 air) | 143±10 | 142±9 |
J F (µmol e− m–2 s–1) | 70±5 | 106±5* |
V cmax_Ci (µmol CO2 m–2 s–1) | 26.8±1.6 | 42.1±2.2* |
V cmax_Cc (µmol CO2 m–2 s–1) | 58.1±3.5 | 78.5±4.0* |
J max_Ci (µmol e– CO2 m–2 s–1) | 71.1±4.4 | 109.5±3.1* |
J max_Cc (µmol e– m–2 s–1) | 102.7±6.3 | 142.6±7.4* |
J max/V cmax_Ci | 2.6±0.04 | 2.7±0.1 |
J max/V cmax_Cc | 1.8±0.1 | 1.8±0.1 |
C c_trans (µmol CO2 mol–1 air) | 228±17 | 249±23 |
R D (µmol CO2 m–2 s–1) | 0.5±0.06 | 1.2±0.05* |
R L (µmol CO2 m–2 s–1 | 0.1±0.05 | 0.3±0.08* |
A/g s (µmol CO2 mol–1 H2O) | 86±6 | 84±4 |
g m_Harley/g s (mol CO2 mol–1 CO2 ) | 1.4±0.1 | 1.3±0.1 |
R p (µmol CO2 m–2 s–1) | 3.2±0.4 | 4.5±0.1* |
Stomatal limitation | 0.41±0.04 | 0.38±0.02 |
Mesophyll limitation | 0.30±0.02 | 0.30±0.01 |
Biochemical limitation | 0.29±0.03 | 0.32±0.03 |
n = 6±SE. The overall photosynthetic limitations associated with stomatal, mesophyll and biochemical factors are also shown. Data for A, g s, g m_Harley, C i, C c_Harley, J F, and R P were obtained under PPFD of 1000 µmol m−2 s−1, C a of 400 µmol mol−1 and leaf temperature of 25°C. Asterisks indicate statistically significant differences (P<0.05) between shade and full sun treatments.
Abbreviations: A, net photosynthesis; g s, stomatal conductance to water vapour; g m, mesophyll conductance to CO2; C i, sub-stomatal CO2 concentration; C c, chloroplastic CO2 concentration; J F, electron transport rate estimated by chlorophyll fluorescence; V cmax, maximum carboxylation capacity; J max, maximum capacity for electron transport rate; C c_trans, the C c that denotes the transition between the Rubisco- and RuBP regeneration-limited state; R D, dark respiration; R L, light respiration; R P, photorespiration rate.
The overall photosynthetic limitations were essentially similar when comparing sun- and shade-grown plants (Table 2). We found that A was mainly constrained by stomatal limitations (c. 40%), whereas mesophyll and biochemical limitations accounted similarly for the remaining limitations (c. 30% each).
The analysis of Rubisco kinetic properties are summarised in Table 3, showing that coffee presents a Rubisco with a relatively high affinity for CO2 (low K c) and fast activity (k cat c), resulting in relatively high values for S c/o. From the combination of in vivo V cmax and in vitro data (k cat c), the concentration of active Rubisco sites was estimated to be 16 and 20 µmol m−2 s−1 for shade and sun plants, respectively.
Table 3. Rubisco kinetic constants measured for coffee (taken from Martins et al. [27]).
Species | S c/o | Γ* (µbar) | K c (µM) | K o (µM) | k cat c(s−1) |
Coffee | 98.4±4.3 | 39.6±1.7 | 10.3±1.3 | 479±113 | 3.2±0.1 |
n = 4±SE.
Abbreviations: S c/o, Rubisco specificity factor; Γ*, CO2 compensation point in the absence of mitochondrial respiration; K c and K o, the Michaelis-Menten kinetics for CO2 and O2, respectively; k cat c, Rubisco catalytic turnover rate for the carboxylase reaction.
Discussion
This study provided a holistic examination of the key steps that could limit the photosynthetic capacity to fix CO2 and demonstrated that leaf hydraulic architecture imposes a major constraint on the maximisation of the photosynthetic gas exchange of coffee leaves by limiting g s. It is tempting to suggest that these constraints might to some extent explain the photosynthetic behaviour of other important (sub)tropical crops such as cacao, citrus and tea, which have a photosynthetic performance and a slow-growth behaviour similar to that of coffee [26]. Our results suggest that improvements of the photosynthetic performance of these crops by means of selecting hydraulic traits (e.g., D v and K L) that might support higher g s values (thereby decreasing stomatal limitations of photosynthesis) could be a useful strategy to facilitate the selection of promising genotypes with enhanced crop growth and production.
We have shown that adjustments in leaf hydraulics through increases in D v and K L in sun-grown individuals were coordinated with a suite of traits related to water flux and gas exchange per leaf area, such as mesophyll structure (e.g., higher mesophyll thickness and palisade-to-spongy parenchyma ratio) and stomatal attributes (increased SD and stomatal pore index). Importantly, we showed that increases in K t occurred at the expense of an increased number of midrib conduits with lower lumen in sun plants, suggesting that improvements in the hydraulic safety would not compromise the hydraulic efficiency [44]. In addition, the larger SD coupled with larger stomatal index implies a proportionally greater increase in the number of guard cells than in normal epidermal cells [45]; hence, light availability should directly and positively influence stomatal fate in coffee regardless of passive changes linked by light-induced differences in leaf blade expansion. However, differential leaf expansion was responsible for the adjustment of D v to SD, which remained nearly proportional to each other. Thus, coffee plants can balance water supply with transpirational demand through a coordination of increased initiation of stomata cells with differential expansion of epidermal cells. Such coordination reflects an optimisation of the trade-off between transpirational costs and CO2 assimilation, resulting in the higher intrinsic water use efficiency observed in coffee (c. 85 µmol CO2 mol−1 H2O on average), which is markedly high compared with other tropical woody species [46], [47].
Our K L values, determined using the method of relaxation kinetics of Ψl, were remarkably lower than those found by Brodribb et al. [1] for other tropical trees using the same method (between 17 and 36 mmol m−2 s−1 MPa−1). Considerably low values of K L had already been reported for C. arabica (c. 4.2 mmol m−2 s−1 MPa−1) by Gascó et al. [48] using the high-pressure method. Consistent with the close relationship between K L and D v [4], [5], [49], our maximum D v values were also within the low range recorded for angiosperms [50], suggesting that the hydraulic architecture of coffee leaves imposes strong resistance for water flow which, in turn, should limit the CO2 diffusion into the leaf [4]. In addition, our K L and D v values (Table 1) fit very well in the general relationship of both K L and D v with the maximum A proposed by Brodribb et al. [5], [51], that is, our estimated K L and D v values exactly predict our maximum measured A values. Therefore we contend that the leaf hydraulic architecture ultimately should act as a prime factor limiting photosynthetic gas exchange in coffee leaves.
Regardless of light regimens, our actual g s values were relatively similar to the value of 108 mmol H2O m−2 s−1 averaged over a range of studies using coffee plants grown under optimal conditions ([10], and references therein). These values are significantly lower than those of the modelled g wmax, resulting in a g wmax/g s ratio above 13, as can be calculated for sun-grown plants. By comparison, that ratio was c. 2.5 in non-water-stressed tomato [52] and 4.5 in Eucalyptus globulus [33]. The high hydraulic resistance of the coffee leaves is most likely the cause of the difference between the theoretical g wmax and the recorded g s. Nevertheless, this large difference raises the following questions: why would the plant invest in a large g wmax if the maximum realisable A is relatively low and constrained by the leaf hydraulic architecture? Furthermore, from an ecological point of view, what would be the advantage of having a large g wmax if, in the humid, shaded understoreys where coffee evolved, A should be more constrained by light limitation than by CO2 supply? Despite not having immediate responses to these queries, our results suggest a lack of coordination between the maximum capacity for stomatal aperture and carbon fixation, as also noted in saplings of Bornean rainforest tree species grown in the understorey [53]. A large g wmax may not be problematic in terms of water loss in the humid understorey, where transpiration rates are expected to be much more dependent on boundary layer resistance, and thus the importance of the stomata in optimising photosynthetic gas exchange should be reduced. In any case, considering that bigger stomata tend to close slower than smaller stomata [33], [54], the relatively large stomata of coffee leaves (combined with low K L) might result in excessive leaf desiccation if large stomatal apertures are realised. In this sense, the low actual g s might be a conservative strategy to maintain leaf hydration and minimise the risk of xylem embolism. This observation is in line with recent results obtained for Toona ciliata, where transpirational homeostasis to changes in vapour pressure deficit was achieved through dynamic stomatal control rather than modification of the relationship between veins and stomata [55]. Taken together, these findings lead to the interesting question of why long-term adjustments to the parameters that define g smax have not been fixed and regulation of g s comes predominantly from short-term adjustments to environmental conditions but at the cost of inherently low g s in some species, such as coffee.
Our maximum g m value was c. two-fold higher than those previously reported for C. arabica seedlings [56]. In any case, our g m values were similar to those obtained for other evergreen woody species (e.g. [57]–[59]). Greater g m values for sun leaves, as found here, have been systematically reported and have been often explained by anatomical and morphological differences between shade and sun leaves [60]. Despite the changes in g m and A between shade- and sun-grown coffee plants, C i and C c remained fairly similar. Thus, regardless of the light treatments, when A changed, g m and g s scaled accordingly, and, hence, C c remained constant [61]. This proportional scaling lends support to explain why stomatal, mesophyll and biochemical limitations to photosynthesis were similar between sun and shade leaves. These findings are in agreement with other studies, which show that the approximate scaling of g s and g m with A makes the relative limitations to photosynthesis rather conservative between sun and shade leaves, as also noted in Fagus sylvatica [62].
Irrespective of the light environment, the mean drawdown from C i to C c (c. 79 µmol mol−1) was lower than that from C a to C i (c. 153 µmol mol−1), which is consistent with the fact that the diffusive limitations to CO2 in mesophyll were lower than those in stomata, thus ultimately reflecting a high g m/g s ratio. Indeed, by analysing the dataset reported by Flexas et al. [63], we noted that species operating at low C i tended clearly to display an increased g m/g s ratio (Figure S1) which contributes to an improved performance in photosynthetic water use [63]. We believe that such feature is essential for keeping a positive carbon balance given that stomatal limitations may even be exacerbated in coffee trees grown under field conditions, particularly because g s peaks in the early morning and decreases progressively throughout the day, reaching values typically ranging from 10 to 50 mmol H2O m−2 s−1 from midday onwards [23], [24], [64]–[67] as a consequence of rising vapour pressure deficit.
Under saturating PPFD, A at ambient CO2 was limited by Rubisco activity regardless of the light treatment given that the estimated C c was lower than C c_trans (Table 2). However, the realised A and J F at maximum growth irradiance of shade plants (c. 200 µmol PPFD m−2 s−1) are c. 60% of their saturating values (Figure S2), indicating that, even though these plants operate during most of their development under light limitation, the balance between RuBP regeneration and Rubisco activity (the J max/V cmax ratio) was essentially similar in the shade and sun plants (Table 2). These data indicate that, in contrast to the optimal distribution principle, which suggests that Rubisco and the regeneration of RuBP should co-limit photosynthesis such that no excess capacities remain [68], the coffee plant does not properly optimise its resource allocation. On the one hand, under light saturation, an excess of electron transport capacity is to be expected, given that the actual C c operates far from C c_trans (cf. Table 2). On the other hand, under light limitation, a great investment in capacity for carbon assimilation and electron transport is retained despite the low realised A and J F by the shade leaves.
Coffee Rubisco was characterised as displaying (i) a relatively high S c/o, similar to that of woody evergreen species from xeric habitats [14]; (ii) a higher affinity for CO2 (low K c), which ranks coffee Rubisco with the third lowest value of K c among C3 and C4 plants recorded to date [69]; and (iii) a relatively high k cat c, superior to the average of species from warm climates [70]. We next modelled the responses of A as a function of C c by comparing these Rubisco properties with those of several C3 species (Table S1) including Limonium gibertii, the species with the highest S c/o and lowest K c reported to date, thus particularly adapted to low C c [14]. Importantly, we found that, all else being equal, the A values that would be achieved using the Rubisco kinetic properties of coffee or Limonium would be quite similar and superior to those from all other species analysed (Figure 2) suggesting that coffee presents an “efficient” Rubisco well-tuned for operating at low C c. Additionally, the higher k cat c and lower K c mean that fewer Rubisco molecules are required to realise a given A. Nevertheless, given that lower K c leads to a reduction in C c_trans, A of coffee leaves is expected to begin to be limited by RuBP regeneration at relatively low C c, which could, to some extent, reduce the revenue stream in a scenario of increasing CO2 atmospheric levels.
The rates of respiration and photorespiration are other key processes influencing the plant carbon balance. In sun plants, R D and R P corresponded to 10% and 38% of A, respectively. However, given that R L represented only a fraction (25%) of R D, which is in line with the inhibition of mitochondrial respiration in the presence of light [71], [72], the realised constraint of respiration on A is expected to be relatively low. In turn, R P is expected to significantly affect A at midday, when the stomatal closure in coffee leaves exacerbates the drawdown from C a to C i [24], thus favouring the oxygenase activity of Rubisco.
Conclusion
Regardless of the light treatments, A was mainly limited by stomatal factors followed by similar limitations associated with the mesophyll and biochemical constraints. Our data suggest that an increased g m/g s ratio coupled with a Rubisco well-tuned for operating at low C c might be adaptations to a lower C i resulting from the low g s; these adaptations might have helped the establishment of coffee plants when they were moved from the understoreys to the more stressful conditions of open fields, where high vapour pressure deficit and elevated temperatures may constrain gas exchange. Our results also suggest that the coffee plant does not properly optimise its resource allocation: on the one hand, there seems to be an over-investment in capacity for carboxylation and electron transport despite limited light availability under shade; on the other hand, an excess of electron transport capacity is to be expected under full sun. Nevertheless, this excess might be useful in attempts to increase A in coffee through breeding aimed at improving hydraulic traits (D v and K L) and expectedly supporting a high g s. Finally, we contend that the large diffusive resistance should lead to large drawdown from C a to C c, thus favouring the occurrence of relatively high R p despite the relatively high S c/o of coffee Rubisco, which ultimately leads to further limitations to A.
Supporting Information
Funding Statement
This research was supported by the Foundation for Research Assistance of the Minas Gerais State, Brazil (Fapemig, Grant APQ-01138-12), by the National Council for Scientific and Technological Development (CNPq) (Grants 302605/2010-0 and 475780/2012-4) to FMD, and by Plan Nacional (Spain) (GrantAGL2009-07999) to JG. A PhD scholarship granted by CNPq to SCVM is also gratefully acknowledged. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Brodribb TJ, Holbrook NM, Zwieniecki MA, Palma B (2005) Leaf hydraulic capacity in ferns, conifers and angiosperms: impacts on photosynthetic maxima. New Phytol 165: 839–846. [DOI] [PubMed] [Google Scholar]
- 2. Sack L, Cowan PD, Jaikumar N, Holbrook NM (2003) The ‘hydrology’ of leaves: co-ordination of structure and function in temperate woody species. Plant Cell Environ 26: 1343–1356. [Google Scholar]
- 3. Sack L, Frole K (2006) Leaf structural diversity is related to hydraulic capacity in tropical rain forest trees. Ecology 87: 483–491. [DOI] [PubMed] [Google Scholar]
- 4. Brodribb TJ (2009) Xylem hydraulic physiology: The functional backbone of terrestrial plant productivity. Plant Sci 177: 245–251. [Google Scholar]
- 5. Brodribb TJ, Feild TS, Jordan GJ (2007) Leaf maximum photosynthetic rate and venation are linked by hydraulics. Plant Physiol 144: 1890–1898. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Carins Murphy MR, Jordan GJ, Brodribb TJ (2012) Differential leaf expansion can enable hydraulic acclimation to sun and shade. Plant Cell Environ 35: 1407–1418. [DOI] [PubMed] [Google Scholar]
- 7. Warren CR (2008) Stand aside stomata, another actor deserves centre stage: the forgotten role of the internal conductance to CO2 transfer. J Exp Bot 59: 1475–1487. [DOI] [PubMed] [Google Scholar]
- 8. Flexas J, Barbour MM, Brendel O, Cabrera HM, Carriquí M, et al. (2012) Mesophyll diffusion conductance to CO2: an unappreciated central player in photosynthesis. Plant Sci 193–194: 70–84. [DOI] [PubMed] [Google Scholar]
- 9. Ferrio JP, Pou A, Florez-Sarasa I, Gessler A, Kodama N, et al. (2012) The Péclet effect on leaf water enrichment correlates with leaf hydraulic conductance and mesophyll conductance for CO2 . Plant Cell Environ 35: 611–625. [DOI] [PubMed] [Google Scholar]
- 10. Farquhar GD, von Caemmerer S, Berry JA (1980) A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149: 78–90. [DOI] [PubMed] [Google Scholar]
- 11. Ethier GJ, Livingston NJ (2004) On the need to incorporate sensitivity to CO2 transfer conductance into the Farquhar-von Caemmerer-Berry leaf photosynthesis model. Plant Cell Environ 27: 137–153. [Google Scholar]
- 12. Niinemets Ü, Díaz-Espejo A, Flexas J, Galmés J, Warren CR (2009) Role of mesophyll diffusion conductance in constraining potential photosynthetic productivity in the field. J Exp Bot 60: 2249–2270. [DOI] [PubMed] [Google Scholar]
- 13.von Caemmerer S (2000) Biochemical models of leaf photosynthesis. CSIRO Publishing: Canberra.
- 14. Galmés J, Flexas J, Keys AJ, Cifre J, Mitchell RAC, et al. (2005) Rubisco specificity factor tends to be larger in plant species from drier habitats and in species with persistent leaves. Plant Cell Environ 28: 571–579. [Google Scholar]
- 15. Galmés J, Conesa MAN, Ochogavía JM, Perdomo JA, Francis DM, et al. (2011) Physiological and morphological adaptations in relation to water use efficiency in Mediterranean accessions of Solanum lycopersicum . Plant Cell Environ 34: 245–260. [DOI] [PubMed] [Google Scholar]
- 16. Tcherkez GGB, Farquhar GD, Andrews TJ (2006) Despite slow catalysis and confused substrate specificity, all ribulose bisphosphate carboxylases may be nearly perfectly optimized. Proc Natl Acad Sci USA 103: 7246–7251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Farquhar GD, von Caemmerer S (1982) Modeling of photosynthetic responses to environmental conditions. In: Lange OL, Nobel PS, Osmond CB, Ziegler H, editors. Encyclopedia of plant physiology (New Series). Springer-Verlag: Berlin, 549–587.
- 18.DaMatta FM, Ronchi CP, Maestri M, Barros RS (2010) Coffee: environment and crop physiology. In: DaMatta FM, editor. Ecophysiology of tropical tree crops. Nova Science Publishers: New York, 181–216.
- 19. DaMatta FM (2004) Ecophysiological constraints on the production of shaded and unshaded coffee: a review. Field Crops Res 86: 99–114. [Google Scholar]
- 20. Franck N, Vaast P, Génard M, Dauzat J (2006) Soluble sugars mediate sink feedback down-regulation of leaf photosynthesis in field-grown Coffea arabica. . Tree Physiol 26: 517–525. [DOI] [PubMed] [Google Scholar]
- 21. Silva EA, DaMatta FM, Ducatti C, Regazzi AJ, Barros RS (2004) Seasonal changes in vegetative growth and photosynthesis of arabica coffee trees. Field Crops Res 89: 349–357. [Google Scholar]
- 22.Ceulemans R, Saugier B (1993) Photosynthesis. In: Raghavendra AS, editor. Physiology of trees. John Wiley: New York, 21–50.
- 23. Araújo WL, Dias PC, Moraes GABK, Celin EF, Cunha RL, et al. (2008) Limitations to photosynthesis in coffee leaves from different canopy positions. Plant Physiol Biochem 46: 884–890. [DOI] [PubMed] [Google Scholar]
- 24. Batista D, Araújo WL, Antunes WC, Cavatte PC, Moraes GABK, et al. (2012) Photosynthetic limitations in coffee plants are chiefly governed by diffusive factors. Trees 26: 459–468. [Google Scholar]
- 25. Galmés J, Medrano H, Flexas J (2007) Photosynthetic limitations in response to water stress and recovery in Mediterranean plants with different growth forms. New Phytol 175: 81–93. [DOI] [PubMed] [Google Scholar]
- 26.DaMatta FM (2010) Introduction. In: DaMatta FM, editor. Ecophysiology of tropical tree crops. Nova Science Publishers: New York, 1–6.
- 27. Martins SCV, Galmés JG, Molins A, DaMatta FM (2013) Improving the estimation of mesophyll conductance: on the role of electron transport rate correction and respiration. J Exp Bot 64: 3285–3298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. DaMatta FM, Maestri M, Barros RS (1997) Photosynthetic performance of two coffee species under drought. Photosynthetica 34: 257–264. [Google Scholar]
- 29. Salisbury EJ (1927) On the causes and ecological significance of stomatal frequency with special reference to the woodland flora. Philos Trans R Soc Lond B Biol Sci 216: 1–65. [Google Scholar]
- 30. Scoffoni C, Rawls M, McKown A, Cochard H, Sack L (2011) Decline of leaf hydraulic conductance with dehydration: relationship to leaf size and venation architecture. Plant Physiol 156: 832–843. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Antunes WC, Pompelli MF, Carretero DM, DaMatta FM (2008) Allometric models for non-destructive leaf area estimation in coffee (Coffea arabica and C. canephora). Ann Appl Biol 153: 33–40. [Google Scholar]
- 32. Lewis AM, Boose ER (1995) Estimating volume flow rates through xylem conduits. Am J Bot 82: 1112–1116. [Google Scholar]
- 33. Franks PJ, Drake PL, Beerling DJ (2009) Plasticity in maximum stomatal conductance constrained by negative correlation between stomatal size and density: an analysis using Eucalyptus globules . Plant Cell Environ 32: 1737–1748. [DOI] [PubMed] [Google Scholar]
- 34. Franks P, Farquhar G (2001) The effect of exogenous abscisic acid on stomatal development, stomatal mechanics, and leaf gas exchange in Tradescantia virginiana . Plant Physiol 125: 935–942. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Brodribb TJ, Holbrook MN (2003) Stomatal closure during leaf dehydration, correlation with other leaf physiological traits. Plant Physiol 132: 2166–2173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Cavatte PC, Oliveira AAG, Morais LE, Martins SCV, Sanglard LMVP, et al. (2012) Could shading reduce the negative impacts of drought on coffee? A morphophysiological analysis. Physiol Plant144: 111–122. [DOI] [PubMed] [Google Scholar]
- 37. Genty B, Briantais JM, Baker NR (1989) The relationship between the quantum yield of photosynthetic electron-transport and quenching of chlorophyll fluorescence. Biochim Biophys Acta 990: 87–92. [Google Scholar]
- 38. Valentini R, Epron D, Angelis P, Matteucci G, Dreyer E (1995) In situ estimation of net CO2 assimilation, photosynthetic electron flow and photorespiration in Turkey oak (Q. cerris L.) leaves: diurnal cycles under different levels of water supply. Plant Cell Environ 18: 631–640. [Google Scholar]
- 39.Laisk AK (1977) Kinetics of photosynthesis and photorespiration in C3 plants. Nauka: Moscow.
- 40. Harley PC, Loreto F, Di Marco G, Sharkey TD (1992) Theoretical considerations when estimating the mesophyll conductance to CO2 flux by analysis of the response of photosynthesis to CO2 . Plant Physiol 98: 1429–1436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Rodeghiero M, Niinemets Ü, Cescatti A (2007) Major diffusion leaks of clamp-on leaf cuvettes still unaccounted: how erroneous are the estimates of Farquhar et al. model parameters? Plant Cell Environ 30: 1006–1022. [DOI] [PubMed] [Google Scholar]
- 42. Gu L, Pallardy SG, Tu K, Law BE, Wullschleger SD (2010) Reliable estimation of biochemical parameters from C3 leaf photosynthesis-intercellular carbon dioxide response curves. Plant Cell Environ 33: 1852–1874. [DOI] [PubMed] [Google Scholar]
- 43. Grassi G, Magnani F (2005) Stomatal, mesophyll conductance and biochemical limitations to photosynthesis as affected by drought and leaf ontogeny in ash and oak trees. Plant Cell Environ 28: 834–849. [Google Scholar]
- 44. Sack L, Holbrook MN (2006) Leaf hydraulics. Annu Rev Plant Biol 57: 361–381. [DOI] [PubMed] [Google Scholar]
- 45. Casson SA, Franklin KA, Gray JE, Grierson CS, Whitelam GC, et al. (2009) Phytochrome B and PIF4 regulate stomatal development in response to light quantity. Curr Biol 19: 229–234. [DOI] [PubMed] [Google Scholar]
- 46. Chaturvedi RK, Raghubanshi AS, Singh JS (2011) Leaf attributes and tree growth in a tropical dry forest. J Veg Sci 22: 917–931. [Google Scholar]
- 47. Nogueira A, Martinez CA, Ferreira LL, Prado CHBA (2004) Photosynthesis and water use efficiency in twenty tropical tree species of differing succession status in a Brazilian reforestation. Photosynthetica 42: 351–356. [Google Scholar]
- 48. Gascó A, Nardini A, Salleo S (2004) Resistance to water flow through leaves of Coffea arabica is dominated by extra-vascular tissues. Funct Plant Biol 31: 1161–1168. [DOI] [PubMed] [Google Scholar]
- 49. Sack L, Tyree MT, Holbrook NM (2005) Leaf hydraulic architecture correlates with regeneration irradiance in tropical rainforest trees. New Phytol 167: 403–413. [DOI] [PubMed] [Google Scholar]
- 50. Boyce CK, Lee J-E, Field TS, Brodribb TJ, Zwieniecki MA (2010) Angiosperms helped put the rain in the rainforests: The impact of plant physiological evolution on tropical biodiversity. Ann Missouri Bot Gard 97: 527–540. [Google Scholar]
- 51. Brodribb TJ, Feild TS, Sack L (2010) Viewing leaf structure and evolution from a hydraulic perspective. Funct Plant Biol 37: 488–498. [Google Scholar]
- 52. Galmés J, Ochogavía JM, Gago J, Roldán EJ, Cifre J, et al. (2013) Leaf responses to drought stress in Mediterranean accessions of Solanum lycopersicum: anatomical adaptations in relation to gas exchange parameters. Plant Cell Environ 36: 920–935. [DOI] [PubMed] [Google Scholar]
- 53. Russo SE, Cannon WL, ElowskyC, Tan S, Davies SJ (2010) Variation in leaf stomatal traits of 28 tree species in relation to gas exchange along an edaphic gradient in a Bornean rain forest. Am J Bot 97: 1109–1120. [DOI] [PubMed] [Google Scholar]
- 54. Eensalu E, Kupper P, Sellin A, Rahi M, Sõber A, et al. (2010) Do stomata operate at the same relative opening range along a canopy profile of Betula pendula ? Funct Plant Biol 35: 103–110. [DOI] [PubMed] [Google Scholar]
- 55. Carins Murphy MR, Jordan GJ, Brodribb TJ (2013) Acclimation to humidity modifies the link between leaf size and the density of veins and stomata. Plant Cell Environ 37: 124–131. [DOI] [PubMed] [Google Scholar]
- 56. Hanba Y, Kogami H, Terashima I (2003) The effect of internal CO2 conductance on leaf carbon isotope ratio. Isotopes Environ Health Studies 39: 5–13. [DOI] [PubMed] [Google Scholar]
- 57. Manter DK, Kerrigan J (2004) A/C i curve analysis across a range of woody plant species: influence of regression analysis parameters and mesophyll conductance. J Exp Bot 55: 2581–2588. [DOI] [PubMed] [Google Scholar]
- 58. Warren CR, Adams MA (2006) Internal conductance does not scale with photosynthetic capacity: implications for carbon isotope discrimination and the economics of water and nitrogen use in photosynthesis. Plant Cell Environ 29: 192–201. [DOI] [PubMed] [Google Scholar]
- 59. Flexas J, Ribas-Carbó M, Díaz-Espejo A, Galmés J, Medrano H (2008) Mesophyll conductance to CO2: current knowledge and future prospects. Plant Cell Environ 31: 602–621. [DOI] [PubMed] [Google Scholar]
- 60. Terashima I, Hanba YT, Tholen D, Niinemets Ü (2011) Leaf functional anatomy in relation to photosynthesis. Plant Physiol 155: 108–116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Monti A, Bezzi G, Venturi G (2009) Internal conductance under different light conditions along the plant profile of Ethiopian mustard (Brassica carinata A. Brown.). J Exp Bot 60: 2341–2350. [DOI] [PubMed] [Google Scholar]
- 62. Warren CR, Löw M, Matyssek R, Tausz M (2007) Internal conductance to CO2 transfer of adult Fagus sylvatica: Variation between sun and shade leaves and due to free-air ozone fumigation. Environ Exp Bot 59: 130–138. [Google Scholar]
- 63. Flexas J, Niinemets Ü, Gallé A, Baubour MM, Centritto M, et al. (2013) Diffusional conductances to CO2 as a target for increasing photosynthesis and photosynthetic water-use efficiency. Photosynth Res 117: 45–59. [DOI] [PubMed] [Google Scholar]
- 64. Ronquim JC, Prado CHBA, Novaes P, Fahl JI, Ronquim CC (2006) Carbon gain in Coffea arabica during clear and cloudy days in the wet season. Exp Agric 42: 147–164. [Google Scholar]
- 65. Chaves ARM, Ten-Caten A, Pinheiro HA, Ribeiro A, DaMatta FM (2008) Seasonal changes in photoprotective mechanisms of leaves from shaded and unshaded field-grown coffee (Coffea arabica L.). Trees 22: 351–361. [Google Scholar]
- 66. Chaves ARM, Martins SCV, Batista KD, Celin EF, DaMatta FM (2012) Varying leaf-to-fruit ratios affect branch growth and dieback, with little to no effect on photosynthesis, carbohydrate or mineral pools, in different canopy positions of field-grown coffee trees. Environ Exp Bot 77: 207–218. [Google Scholar]
- 67. DaMatta FM, Cunha RL, Antunes WC, Martins SVC, Araújo WL, et al. (2008) In field-grown coffee trees source-sink manipulation alters photosynthetic rates, independently of carbon metabolism, via alterations in stomatal function. New Phytol 178: 348–357. [DOI] [PubMed] [Google Scholar]
- 68. Niinemets Ü, Kull O, Tenhunen JD (1998) An analysis of light effects on foliar morphology, physiology, and light interception in temperate deciduous woody species of contrasting shade tolerance. Tree Physiol 18: 681–696. [DOI] [PubMed] [Google Scholar]
- 69. Savir Y, Noor E, Milo R, Tlusty T (2010) Cross-species analysis traces adaptation of Rubisco toward optimality in a low-dimensional landscape. Proc Natl Acad Sci USA 107: 3475–3480. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Sage RF, Cen Y, Li M (2002) The activation state of Rubisco directly limits photosynthesis at low CO2 and low O2 partial pressures. Photosynth Res 71: 241–250. [DOI] [PubMed] [Google Scholar]
- 71. Tcherkez G, Cornic G, Bligny R, Gout E, Ghashghaie J (2005) In vivo respiratory metabolism of illuminated leaves. Plant Physiol 138: 1596–1606. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Tcherkez G, Bligny R, Gout E, Mahé A, Hodges M, et al. (2008) Respiratory metabolism of illuminated leaves depends on CO2 and O2 conditions. Proc Natl Acad Sci USA 105: 797–802. [DOI] [PMC free article] [PubMed] [Google Scholar]
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