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First published online August 20, 2008; 10.1104/pp.108.127324 Plant Physiology 148:1148-1158 (2008) © 2008 American Society of Plant Biologists OPEN ACCESS ARTICLE
Root and Shoot Respiration of Perennial Ryegrass Are Supplied by the Same Substrate Pools: Assessment by Dynamic 13C Labeling and Compartmental Analysis of Tracer Kinetics1,[OA]Lehrstuhl für Grünlandlehre, Department für Pflanzenwissenschaften, Technische Universität München, D–85350 Freising-Weihenstephan, Germany
The substrate supply system for respiration of the shoot and root of perennial ryegrass (Lolium perenne) was characterized in terms of component pools and the pools' functional properties: size, half-life, and contribution to respiration of the root and shoot. These investigations were performed with perennial ryegrass growing in constant conditions with continuous light. Plants were labeled with 13CO2/12CO2 for periods ranging from 1 to 600 h, followed by measurements of the rates and 13C/12C ratios of CO2 respired by shoots and roots in the dark. Label appearance in roots was delayed by approximately 1 h relative to shoots; otherwise, the tracer time course was very similar in both organs. Compartmental analysis of respiratory tracer kinetics indicated that, in both organs, three pools supplied 95% of all respired carbon (a very slow pool whose kinetics could not be characterized provided the remaining 5%). The pools' half-lives and relative sizes were also nearly identical in shoot and root (half-life < 15 min, approximately 3 h, and 33 h). An important role of short-term storage in supplying respiration was apparent in both organs: only 43% of respiration was supplied by current photosynthate (fixed carbon transferred directly to centers of respiration via the two fastest pools). The residence time of carbon in the respiratory supply system was practically the same in shoot and root. From this and other evidence, we argue that both organs were supplied by the same pools and that the residence time was controlled by the shoot via current photosynthate and storage deposition/mobilization fluxes.
This article deals with the substrate supply system of respiration in roots and shoots of intact plants of perennial ryegrass (Lolium perenne). This system is an integral part of the total pool of available substrates for growth and maintenance processes in the root and shoot and a major sink for carbon fixed in photosynthesis (Amthor, 1989 -ketoglutarate, or gluconate-6-P (Heldt, 2005The intermediary fate (or allocation history) of carbon controls its residence time inside the plant (i.e. the lapse of time between fixation and respiration). Thus, for instance, if carbon fixed in photosynthesis is transferred directly to centers of respiration, then the residence time in the plant is short (seconds to minutes). In contrast, if carbon is first deposited in long-lived molecules (such as proteins or storage carbohydrates), then the residence time is long (days to months). Respired carbon, therefore, originates from a heterogeneous mixture of molecules that cycle more or less extensively through a network of biochemical compounds and physical compartments. So the residence time of respired carbon reveals functional properties of the supply system feeding respiration and can be used to shed light on structural-functional differences between supply systems feeding different plant parts, such as roots and shoots. We are not aware of any comparative studies of the residence time of carbon feeding shoot and root respiration.
The residence time of carbon can be characterized by quantitative tracer techniques (Ryle et al., 1976
Whereas most of the interpretations of label appearance (in dynamic labeling), or label disappearance (in pulse-chase labeling), in respired CO2 have been qualitative, the tracer kinetics can also be quantitatively and mechanistically interpreted in terms of the number, size, kinetic properties (half-life, turnover rate), and contribution of the pools that constitute the supply system of respiration. This is best done using the mathematical methodology of compartmental analysis (Atkins, 1969 Here, we use compartmental analysis to provide a quantitative description and comparison of the compartmental structure and kinetic properties of the supply system feeding root and shoot respiration. Specifically, we address the following questions: What are the kinetics and sizes of the major respiratory pools supplying carbon to respiration of ryegrass? How are these pools connected? How do shoot and root differ in terms of carbon supply by those pools? And what are the contributions of current assimilation and stores to respiration?
One basic difficulty in the characterization of carbon pools supplying respiration is a sufficient range of tracer application (or chase) times. Putative substrates for respiration have turnover times in the range of less than 1 h to many days (Simpson et al., 1981
Meeting the Steady-State Conditions of Compartmental Analysis: Constant Specific Growth and Respiration Rates
Inferring the number and kinetics of mixing pools by compartmental analysis relies on several assumptions (presented in full, and their validity discussed, in "Materials and Methods"). A major one is that the system under consideration shows no change in time except for tracer content (referred to as "metabolic steady state" by Ratcliffe and Shachar-Hill, 2006 During the experiment, shoots and roots exhibited constant specific growth rates (shoot, 0.085 g carbon [C] g–1 shoot C d–1 ± 0.011, CI0.95; root, 0.072 g C g–1 root C d–1 ± 0.014, CI0.95). Moreover, specific respiration rates were steady throughout the labeling period (P > 0.05; Fig. 1 ), with shoot respiration (0.97 mg C g–1 plant C h–1 ± 0.13 SD; n = 60) being nearly twice as high as root respiration (0.53 mg C g–1 plant C h–1 ± 0.09 SD; n = 60). Furthermore, due to the similarity of shoot- and root-specific growth rates, the shoot to root ratio (3.8 g C g–1 C) was nearly constant. No differences in the rates of growth and respiration were observed between growth chambers (P > 0.05). These results indicate that plants were growing nearly exponentially, with constant specific demands on respiration; thus, the system was virtually in a steady state.
Water-Soluble Carbohydrate Concentration in Root and Shoot Biomass Water-soluble carbohydrates accounted for 0.337 g C g–1 total shoot C (±0.035 SD; n = 6). This was more than four times higher than the concentration in the roots (0.079 g C g–1 root C ± 0.006 SD; n = 6).
The time courses of tracer incorporation into shoot- and root-respired CO2 were strikingly similar (Fig. 2 ), except that first label incorporation into respiratory CO2 of roots occurred with a delay of approximately 1 h and that the degree of labeling of root-respired CO2 was about 5% less than that of shoots during the first week of labeling.
The labeling kinetics revealed five distinct phases: (1) a fast initial labeling; (2) a lag period of a few hours, in which the degree of labeling did not change (Fig. 2, insets); (3) a period that lasted until about 1 d of labeling, in which the fraction of unlabeled carbon decreased rapidly; (4) a period until about 8 d, in which the fraction of unlabeled carbon decreased at a slower rate; and (5) a final period that lasted until the end of the experiment (25 d of labeling), in which the fraction of unlabeled carbon in respiration remained near 5% (Fig. 2).
The labeling kinetics reflected the operation of a substrate pool system supplying respiration. The structure of this system (number of pools, links between pools, delays, and sites of tracer entry and outlet) was determined by analysis of the tracer kinetics of respiratory CO2 (Fig. 2), including multiexponential curve fitting to the tracer kinetics (similar to that described by Moorby and Jarman, 1975 A three-pool model with one delay was capable of accounting for all of the above-mentioned features of shoot respiration (delay 1 in Fig. 3 ). The same model with an additional (approximately 0.8 h) delay for tracer release fitted root respiration (delay 2). In this model, a map of respiratory carbon metabolism of the shoot and the root, carbon fixed in photosynthesis entered the respiratory system via Q1, where it was either respired or transferred to Q2. In Q2, carbon was either respired directly or first cycled through Q3 before being respired via Q2. This is not the simplest three-pool model (that would consist of three independent and isolated pools, each receiving tracer and each releasing CO2), but it is the simplest with biological consistency able to reproduce the observed tracer kinetics. Additional pools were not supported by the number of exponential terms found, and different arrangements of pools and fluxes were not supported by goodness of fits (e.g. linking Q3 to Q1 instead of to Q2).
This model was translated into a set of differential equations (similar to Lattanzi et al., 2005
Pool Sizes, Half-Lives, and Contributions to Respiration Pool half-lives were derived from fitted pool sizes and fluxes. The contribution of each pool to respiration was determined as the probability of carbon cycling through that pool before being respired. Pools Q1, Q2, and Q3 differed greatly in size and half-life (Table I ). The relative sizes of the three pools were similar in the shoot and root, but root pools were 30% to 50% smaller than shoot pools, because root respiration rate was half that of the shoot (Fig. 1). Q1 was a very small, rapidly turned-over pool. Both in the shoot and in the root, it was equivalent to 0.02% of total plant carbon, and its half-life was on the order of 0.1 to 0.2 h. Q2 of the shoot represented approximately 1% and Q2 of the root represented approximately 0.7% of total plant carbon, and both had half-lives of approximately 3 h (Table I). Q3 was the largest: its shoot component constituted 7% and the root component constituted 4.5% of total plant carbon. The half-life of Q3 was virtually identical in both organs: 33 h. In total, 13.2% of all plant carbon formed part of respiratory substrate pools. Although Q1 was a very small pool, it served a significant role in respiration: 16% of shoot-respired carbon and 13% of root-respired carbon cycled only through Q1 (Table I). The bulk, 79% of shoot respiration and 82% of root respiration, was supplied by Q2. Respiration via Q2 was supplied by direct transfer of current photosynthate via Q1 and by carbon that first cycled through Q3 (Fig. 3). Direct transfer accounted for 28% of shoot respiration and 27% of root respiration. This meant that two pools whose carbon was renewed very rapidly by current photosynthetic assimilation supplied 44% of shoot respiration and 40% of root respiration. On the contrary, Q3, with a half-life of 33 h, played a (short-term) storage role and was the main source of substrates for respiration: 51% of all carbon respired in the shoot and 55% of that respired in the root cycled through this pool at least once before being respired (Table I). In both organs, 5% of respired carbon derived from a pool that could not be characterized in terms of size and half-life. Sensitivity analyses showed that estimates of pool size, half-life, and contributions to respiration were well constrained by the data (Fig. 4).
The Identity of Respiratory Substrate Pools This work indicates the existence of three pools supplying 95% of all substrate for respiration in intact plants of perennial ryegrass. A most distinctive difference between these pools was the speed of carbon exchange by current assimilate: half-lives differed by almost 4 orders of magnitude between the fastest (Q1) and the slowest (Q3) pool (Table I; Fig. 4). Each of these pools likely did not represent a single biochemical compound with a specific spatial location; rather, they were probably mixtures of substrates distributed in different tissues and organs throughout the plant. Heterogeneous as they may be, these mixtures nonetheless shared a common pattern of tracer incorporation/release that compartmental analysis recognized. Hence, derived half-lives can be compared with known half-lives of putative substrates for respiration with the aim of attributing functional-biochemical identities to Q1, Q2, and Q3.
Q1 very quickly incorporated and released tracer. Thus, it was intimately connected with both CO2 fixation and respiration. Its rapid turnover rate is consistent with the speed of labeling of primary photosynthetic products that are also involved in decarboxylation, including organic acids (Calvin and Bassham, 1962
The half-life of Q2 (3 h) was close to, but longer than, the half-life often ascribed to a pool of "transport Suc" (1–2 h; Moorby and Jarman, 1975
There was a substantial delay between tracer uptake and respiratory tracer release from Q2 (delay 1; Figs. 2 and 3; Table I). This effect was observed in both shoot and root; therefore, it must have been related to metabolism and not to transport. Results of others suggest some delay between the arrival of Suc in sink tissue and its use in respiration: in a study with F. arundinacea, Allard and Nelson (1991)
The half-life of 33 h and the large size of Q3 suggest a storage pool. Nonstructural carbohydrates are generally considered as the main source of respired carbon (ap Rees, 1980
Proteins constitute another large plant fraction in which turnover is closely connected with respiratory pathways (Lea and Ireland, 1999
Collectively, the respiratory substrate pool system constituted 13.2% of the total carbon mass of plants, and most of this (approximately 87%) was contained in Q3, the storage pool. In comparison, water-soluble carbohydrates accounted for 28% of total plant carbon, meaning that it contained much more carbon than all respiratory pools combined. This is expected because stores supply not only respiration but also carbon skeletons for new biomass. Assuming that water-soluble carbohydrates were the exclusive substrate for respiration (thus neglecting any contribution of other putative substrates, such as malate or proteins), then 47% of the water-soluble carbohydrate carbon was allocated to respiratory CO2. In that case, the remainder (53%) must have been allocated to new (structural) biomass. This corresponds to a carbon use efficiency (CUE) of 53% for water-soluble carbohydrates. This is a conservative (i.e. low) estimate of the CUE of water-soluble carbohydrates, as it ignores possible contributions to respiration by other substrates. Yet, this efficiency is close to empirical and theoretical estimates of photosynthetic CUE in young herbaceous plants (van Iersel, 2003
The most striking result of this work was the great similarity of root and shoot respiratory tracer kinetics. This meant that the same compartmental model fitted the root and shoot data equally well (Table I; Figs. 2 and 4): number of pools, their half-lives and relative sizes, and their relative contributions to respired carbon were practically the same in both organs. The only notable difference was that tracer appearance in root respiration was delayed by approximately 0.8 h (delay 2; Table I), a time entirely in agreement with phloem transport velocity (Windt et al., 2006
If the supply system for root and shoot respiration consisted of only three pools, where were they located? Q1 and Q2 supplied respiration directly and were active in the root and shoot (Fig. 3), so both must have had shoot and root compartments connected via the phloem. Conversely, a large part of Q3 must have been located in the shoot. This is because the "root component" of Q3 would have been equivalent to greater than 30% of the carbon mass of the root system (calculated by multiplying Q3 root of 45 mg C g–1 plant C with the shoot to root ratio of 3.8 and dividing by the estimated CUE of 0.53), a value much greater than the total mass of nonstructural carbon in the roots (water-soluble carbohydrates, 7.9% of root carbon; protein, 10% of root carbon, estimated from nitrogen content and a 3.1 carbon to nitrogen ratio). So, only a fraction of the respiratory CO2 of roots could have come from stores located in the root. Accordingly, most of the Q3-derived respiratory CO2 of roots must have come from the shoot store(s). Indeed, as is typical in grasses (Sullivan and Sprague, 1943
More than half of respired carbon cycled, at least once, through a storage pool before being respired. Clearly, stores were a central part of respiratory carbon metabolism. That a significant fraction of respiration is supplied by stores has been suggested before (Kouchi et al., 1985
Yet, carbon stores used in respiration showed a longer half-life (this study) than those supplying leaf growth (Lattanzi et al., 2005 In conclusion, this work revealed a tight plant-level integration of respiratory substrate pools and fluxes. Incidentally, the results of this work suggest that the tracer kinetics of root respiration can be inferred from that of the shoot (which was nearly identical to that of the root), which is useful information for partitioning of autotrophic and heterotrophic respiration in ecosystem-scale studies. Future work should address the possible variability and controls of substrate pool properties (half-life and size) and their contributions to root and shoot respiration.
Plant Material and Growth Conditions Seeds of perennial ryegrass (Lolium perenne Acento) were sown individually in plastic pots (350 mm height, 50 mm diameter) filled with 800 g of washed quartz sand (0.3–0.8 mm grain size). The bottom of every pot had a drainage hole (7 mm diameter) covered with a fine nylon net. Pots were arranged in plastic containers (760 x 560 x 320 mm) at a density of 378 plants m–2. Two containers were placed in each of two growth chambers (Conviron E15; Conviron). Plants were grown in continuous light supplied by cool-white fluorescent tubes. Irradiance was maintained at 275 mol m–2 s–1 photosynthetic photon flux density at the top of the canopy. Temperature was controlled at 20°C, and relative humidity was kept near 85%. The stands were irrigated by flooding the boxes every 3 h briefly with modified Hoagland solution [2.5 mM Ca(NO3)2, 2.5 mM KNO3, 1.0 mM MgSO4, 0.18 mM KH2PO4, 0.21 mM K2HPO4, 0.5 mM NaCl, 0.4 mM KCl, 0.4 mM CaCl2, 0.125 mM iron as EDTA, and micronutrients). Stands were periodically flushed with demineralized water to prevent salt accumulation.
The two growth chambers formed part of the 13CO2/12CO2 gas exchange and labeling system described by Schnyder et al. (2003)
One chamber received 13C-depleted CO2 (
Chamber doors were equipped with custom-made transparent air locks that had small ports through which plants could be handled and sampled. These air locks ensured minimal disturbance of the
From 3 weeks after imbibition of seeds, when plants had three tillers, individual plants were labeled by swapping randomly selected plants between chambers. Thus, plants growing in the chamber with 13C-enriched CO2 were transferred to the chamber with 13C-depleted CO2, and vice versa. Plants were kept in the presence of the "new" CO2 for 1, 2, 4, 8, or 16 h or for 1, 2, 4, 8, 12, 17, or 25 d. At the end of the given labeling intervals, plants were removed from the stands and transferred to a root/shoot respiration measurement system. This was done for at least four replicate plants for each labeling interval. To minimize possible size- and development-related effects on respiration, labeling periods were scheduled in such a way that labeling duration and plant age at sampling were not correlated.
Shoot and root respiration rates as well as the Prior to measurements, just after removal from the growth chambers, the pots were rinsed with demineralized water, which was previously aerated with CO2-free air for 1 d. Plants were then enclosed in the respiration cuvettes and the cuvettes flushed with CO2-free air. After excess water had drained off the bottom section of the cuvette, all measuring air lines were installed and air flow rates were adjusted, as described above. These procedures aimed at removing all extraneous air from shoot and root compartments as quickly as possible.
A full measurement cycle of all four cuvettes was completed in approximately 45 min and included three replicate measurements of
Plant Harvest and Elemental Analysis Immediately after the termination of respiration measurements, plants were removed from the pots, washed free of sand, dissected into shoot and root, weighed, frozen in liquid nitrogen, and stored at –30°C. All samples were freeze dried for 72 h, weighed again, and ground to flour mesh quality in a ball mill. Aliquots of 0.75 ± 0.05 mg of each sample were weighed into tin cups (IVA Analysentechnik) and combusted in an elemental analyzer (Carlo Erba NA 1110; Carlo Erba Instruments), interfaced to the CF-IRMS, to determine carbon and nitrogen contents.
Water-soluble carbohydrates were extracted and quantified as described by Schnyder and de Visser (1999)
The proportion of carbon in shoot- and root-respired CO2 that was assimilated before (unlabeled) and during labeling, funlabeled-C and flabeled-C (where flabeled-C = 1 – funlabeled-C), was calculated as by Schnyder and de Visser (1999)
13CS, 13Cold, and 13Cnew are the 13C of respiratory CO2 produced by the labeled sample plant and by nonlabeled plants growing continuously in the chamber of origin (old) or in the labeling chamber (new). 13CS, 13Cold, and 13Cnew of shoots were obtained as:
13Cin, 13Cout, Fin, and Fout are the isotopic signatures and the flow rates of the CO2 entering and leaving the shoot cuvette. Calculations for the root compartment were done in the same way in considering that the concentration and 13C of the CO2 entering the root compartment was equal to that in the shoot compartment (compare with Klumpp et al., 2005
The
Carbon isotope discrimination,
Refixation of respiratory CO2 was considered unimportant in this work. Principally, there are two aspects of refixation that are potentially relevant: one relates to refixation of respiratory CO2 that has been released into the chamber atmosphere, the other concerns (internal) refixation within the photosynthetic tissue. Refixation of respired CO2 from the chamber atmosphere was insignificant in this open, rapidly turned-over system, in which the rate of CO2 supply to the chambers exceeded the stand CO2 exchange rate by a factor of 9. The carbon isotope composition of CO2 in the chamber air was measured nearly continuously, and these measurements were taken as the actual source CO2 isotope composition. Moreover, the small number of labeling plants present in a chamber at any moment had no measurable effect on the isotopic composition of CO2 in chamber air. Internal refixation was estimated using knowledge of 13C discrimination in shoot biomass, assumptions about the fractional contribution of leaf respiration to stand respiration, and the ratio of respiration to photosynthesis. With a 13C discrimination of 23.0
The model shown in Figure 3 was described mathematically assuming that the system was in steady state, an assumption supported by constant specific growth and respiration rates of shoots and roots. Estimated turnover rates and half-lives assume first-order kinetics.
The fraction of tracer in each compartment with respect to time was given by:
In order to fit the initial part of the tracer time course observed in root respiration, delay 2 was inserted between the beginning of labeling and the start of tracer incorporation in Q1. In other words, tracer entered Q1 in the root model a little later than in the shoot model, which would account for phloem transport time from shoot to root. Delay 2 was not necessary to simulate the tracer time course observed in shoot respirations. To model the stable degree of labeling in the first hours (Fig. 2, insets), delay 1 between tracer acquisition in pool Q2 and its efflux in F20 (Fig. 3) was required in both shoot and root simulations. Mathematically, funlabeled-C-Q2 in Equation 3d was forced to lag temporally behind funlabeled-C-Q2 in Equations 3b and 3c for the numerical value of delay 1. Since delay 1 operated only on the release side of Q2 (i.e. F20), it had no effect on the estimation of the half-lives of Q2 and Q3. Considering the steady state of the system, it is important to note that delay 1 and delay 2 only apply to tracer content in respired CO2 and not to the rate of respiration itself.
These equations were implemented in a custom-made program using the free software R (R Development Core Team, 2007
This procedure was followed many times by stepwise and systematic variation of pool sizes, fluxes, and delays to identify the combination of values yielding the minimum RMSE (Table I; Fig. 4).
Optimized pool sizes and fluxes served to calculate the half-life (t1/2) of a pool of size Qi:
Based upon optimized fluxes, the contribution of a pool Qi (CQi) to respiratory carbon release was derived, which is defined here as the probability of tracer moving in a certain flux of the respiratory system (compare with Fig. 3):
CQ1 is thus the probability that tracer enters the system and leaves it in F10 without visiting any other pool. CQ2 implies that tracer enters Q2 via Q1 and is respired in F20 without moving through Q3. CQ3 is the probability of tracer cycling through the storage pool at least once.
As is the general case for compartmental analyses (Farrar, 1990 Assumption 3 is perhaps the most drastic simplification in the model. Probably, the different pools are not truly homogeneous but may constitute several biochemical compounds located in different spatial compartments, such as protein and fructan pools in different leaves. However, further compartmentalization did not improve goodness of fit, indicating that the kinetic properties of the components of a pool were similar. The observed lags for tracer arrival in the root and respiratory carbon release from Q2 represent exemptions from the well-mixing assumption, which were explicitly accounted for by inserting (and optimizing) appropriate delays.
Tracer studies normally assume that isotopic discrimination in pool exchange processes can be neglected. In our study, any effects of carbon isotope fractionation during photosynthesis, transport, and metabolism on carbon isotope composition of respired CO2 were accounted for in the evaluation of labeling data by assessing (and correcting for) isotopic discrimination in unlabeled plants (de Visser et al., 1997
The members of the Lehrstuhl für Grünlandlehre (Technische Universität Munich) are thanked for helpful discussions, particularly Karl Auerswald and Ulrike Gamnitzer. Expert technical assistance was provided by Wolfgang Feneis during the experimental period, by Anja Schmidt in carbohydrate analyses, and by Max Wittmer in the writing of the R program. C.A.L. thanks Union Brunnhofen for continuous support. Received July 30, 2008; accepted August 13, 2008; published August 20, 2008.
1 This work was supported by the Deutsche Forschungsgemeinschaft (SFB 607). The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantphysiol.org) is: Fernando Alfredo Lattanzi (lattanzi{at}wzw.tum.de).
[OA] Open Access articles can be viewed online without a subscription. www.plantphysiol.org/cgi/doi/10.1104/pp.108.127324 * Corresponding author; e-mail lattanzi{at}wzw.tum.de.
Allard G, Nelson CJ (1991) Photosynthate partitioning in basal zones of tall fescue leaf blades. Plant Physiol 95: 663–668 Amthor JS (1989) Respiration and Crop Productivity. Springer Verlag, New York ap Rees T (1980) Assessment of the contributions of metabolic pathways to plant respiration. In DD Davies, ed, The Biochemistry of Plants: A Comprehensive Treatise, Vol 2. Academic Press, San Diego, pp 1–29 Atkins GL (1969) Multicompartment Models in Biological Systems. Methuen, London Avice JC, Ourry A, Lemaire G, Boucoud J (1996) Nitrogen and carbon flows estimated by 15N and 13C pulse-chase labeling during regrowth of alfalfa. Plant Physiol 112: 281–290[Abstract] Barbour MM, McDowell NG, Tcherkez G, Bickford CP, Hanson DT (2007) A new measurement technique reveals rapid post-illumination changes in the carbon isotope composition of leaf-respired CO2. Plant Cell Environ 30: 469–482[CrossRef][Medline] Bell CJ, Incoll LD (1982) Translocation from the flag leaf of winter wheat in the field. J Exp Bot 33: 896–909 Borland AM, Farrar JF (1988) Compartmentation and fluxes of carbon in leaf blades and leaf sheaths of Poa annua L. and Poa x jemtlandica (Almq.) Richt. Plant Cell Environ 11: 535–543[CrossRef] Bürkle L, Hibberd JM, Quick WP, Kühn C, Hirner B, Frommer WB (1998) The H+-sucrose cotransporter NtSUT1 is essential for sugar export from tobacco leaves. Plant Physiol 118: 59–68 Calvin M, Bassham JA (1962) The Photosynthesis of Carbon Compounds. WA Benjamin, New York Davidson JL, Milthorpe FL (1966a) Leaf growth in Dactylis glomerata following defoliation. Ann Bot (Lond) 30: 173–184 Davidson JL, Milthorpe FL (1966b) The effect of defoliation on the carbon balance in Dactylis glomerata. Ann Bot (Lond) 30: 185–198 de Visser R, Vianden H, Schnyder H (1997) Kinetics and relative significance of remobilized and current C and N incorporation in leaf and root growth zones of Lolium perenne after defoliation: assessment by 13C and 15N steady-state labelling. Plant Cell Environ 20: 37–46[Medline] Dewar RC, Medlyn BE, McMurtrie RE (1998) A mechanistic analysis of light and carbon use efficiencies. Plant Cell Environ 21: 573–588[CrossRef] Dilkes NB, Jones DL, Farrar J (2004) Temporal dynamics of carbon partitioning and rhizodeposition in wheat. Plant Physiol 134: 706–715 Dungey NO, Davies DD (1982) Protein turnover in the attached leaves of non-stressed and stressed barley seedlings. Planta 154: 435–440[CrossRef][Web of Science] Farquhar GD, Ehleringer JR, Hubick KT (1989) Carbon isotope discrimination and photosynthesis. Annu Rev Plant Physiol Plant Mol Biol 40: 503–537[CrossRef][Web of Science] Farrar JF (1980) Allocation of carbon to growth, storage and respiration in the vegetative barley plant. Plant Cell Environ 3: 97–105 Farrar JF (1989) Fluxes and turnover of sucrose and fructans in healthy and diseased plants. J Plant Physiol 134: 137–140[Web of Science] Farrar JF (1990) The carbon balance of fast-growing and slow-growing species. In H Lambers, ML Cambridge, H Konings, TL Pons, eds, Causes and Consequences of Variation in Growth Rate and Productivity of Higher Plants. SPB Academic Publishing, The Hague, The Netherlands, pp 241–256 Farrar SC, Farrar JF (1986) Compartmentation and fluxes of sucrose in intact leaf blades of barley. New Phytol 103: 645–657[CrossRef][Web of Science] Geiger DR, Ploeger BJ, Fox TC, Fondy BR (1983) Sources of sucrose translocated from illuminated sugar beet source leaves. Plant Physiol 72: 964–970 Geiger DR, Saunders MA, Cataldo DA (1969) Translocation and accumulation of translocate in the sugar beet petiole. Plant Physiol 44: 1657–1665 Geiger DR, Swanson CA (1965) Evaluation of selected parameters in a sugar beet translocation system. Plant Physiol 40: 942–947 Heber U, Willenbrink J (1964) Sites of synthesis and transport of photosynthetic products within the leaf cell. Biochim Biophys Acta 82: 313–324[Medline] Heldt HW (2005) Plant Biochemistry. Elsevier Academic Press, San Diego Imsande J, Touraine B (1994) N demand and the regulation of nitrate uptake. Plant Physiol 105: 3–7[Web of Science][Medline] Jacquez JA (1996) Compartmental Analysis in Biology and Medicine, Ed 3. Biomedware, Ann Arbor, MI Klumpp K, Schäufele R, Lötscher M, Lattanzi FA, Feneis W, Schnyder H (2005) C-isotope composition of CO2 respired by shoots and roots: fractionation during dark respiration? Plant Cell Environ 28: 241–250[CrossRef] Kouchi H, Akao S, Yoneyama T (1986) Respiratory utilization of 13C-labelled photosynthate in nodulated root systems of soybean plants. J Exp Bot 37: 985–993 Kouchi H, Nakaji K, Yoneyama T, Ishizuka J (1985) Dynamics of carbon photosynthetically assimilated in nodulated soya bean plants under steady-state conditions. 3. Time-course study on 13C incorporation into soluble metabolites and respiratory evolution of 13CO2 from roots and nodules. Ann Bot (Lond) 56: 333–346 Lattanzi FA, Schnyder H, Thornton B (2005) The sources of carbon and nitrogen supplying leaf growth: assessment of the role of stores with compartmental models. Plant Physiol 137: 383–395 Lea PJ, Ireland RJ (1999) Nitrogen metabolism in higher plants. In BK Singh, ed, Plant Amino Acids. Marcel Dekker, New York, pp 1–47 Leport L, Kandlbinder A, Baur B, Kaiser WM (1996) Diurnal modulation of phosphoenolpyruvate carboxylation in pea leaves and roots as related to tissue malate concentrations and to the nitrogen source. Planta 198: 495–501[Web of Science] Lötscher M, Gayler S (2005) Contribution of current photosynthates to root respiration of non-nodulated Medicago sativa: effects of light and nitrogen supply. Plant Biol 7: 601–610[CrossRef][Medline] Lötscher M, Klumpp K, Schnyder H (2004) Growth and maintenance respiration for individual plants in hierarchically structured canopies of Medicago sativa and Helianthus annuus: the contribution of current and old assimilates. New Phytol 164: 305–316[CrossRef][Web of Science] Moorby J, Jarman PD (1975) The use of compartmental analysis in the study of the movement of carbon through leaves. Planta 122: 155–168[CrossRef][Web of Science] Nogués S, Tcherkez G, Cornic G, Ghashghaie J (2004) Respiratory carbon metabolism following illumination in intact French bean leaves using 13C/12C isotope labeling. Plant Physiol 136: 3245–3254 Plaxton WC, Podestá FE (2006) The functional organization and control of plant respiration. Crit Rev Plant Sci 25: 159–198[CrossRef] Pollock CJ, Cairns AJ (1991) Fructan metabolism in grasses and cereals. Annu Rev Plant Physiol Plant Mol Biol 42: 77–101[CrossRef][Web of Science] Prosser PJ, Farrar JF (1981) A compartmental model of carbon allocation in the vegetative barley plant. Plant Cell Environ 4: 303–307 R Development Core Team (2007) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. http://www.R-project.org (December 16, 2007) Ratcliffe RG, Shachar-Hill Y (2006) Measuring multiple fluxes through plant metabolic networks. Plant J 45: 490–511[CrossRef][Web of Science][Medline] Rescigno A (2001) The rise and fall of compartmental analysis. Pharmacol Res 44: 337–342[CrossRef][Web of Science][Medline] Rocher JP, Prioul JL (1987) Compartmental analysis of assimilate export in a mature maize leaf. Plant Physiol Biochem 25: 531–540[Web of Science] Ryle GJA, Cobby JM, Powell CE (1976) Synthetic and maintenance respiratory losses of 14CO2 in uniculm barley and maize. Ann Bot (Lond) 40: 571–586 Schimel DS (1995) Terrestrial ecosystems and the carbon-cycle. Glob Change Biol 1: 77–91[CrossRef] Schnyder H, de Visser R (1999) Fluxes of reserve-derived and currently assimilated carbon and nitrogen in perennial ryegrass recovering from defoliation: the regrowing tiller and its component functionally distinct zones. Plant Physiol 119: 1423–1435 Schnyder H, Nelson CJ (1987) Growth rates and carbohydrate fluxes within the elongation zone of tall fescue leaf blades. Plant Physiol 85: 548–553 Schnyder H, Schäufele R, Lötscher M, Gebbing T (2003) Disentangling CO2 fluxes: direct measurements of mesocosm-scale natural abundance 13CO2/12CO2 gas exchange, 13C discrimination, and labelling of CO2 exchange flux components in controlled environments. Plant Cell Environ 26: 1863–1874[CrossRef] Simpson E, Cooke RJ, Davies DD (1981) Measurement of protein degradation in leaves of Zea mays using [3H]acetic anhydride and tritiated water. Plant Physiol 67: 1214–1219 Smith AM, Stitt M (2007) Coordination of carbon supply and plant growth. Plant Cell Environ 30: 1126–1149[CrossRef][Medline] Stitt M, Müller C, Matt P, Gibon Y, Carillo P, Morcuende R, Scheible WR, Krapp A (2002) Steps towards an integrated view of nitrogen metabolism. J Exp Bot 53: 959–970 Sullivan JT, Sprague VG (1943) Composition of the roots and stubble of perennial ryegrass following partial defoliation. Plant Physiol 18: 656–670 Tcherkez G, Nogués S, Bleton J, Cornic G, Badeck F, Ghashghaie J (2003) Metabolic origin of carbon isotope composition of leaf dark-respired CO2 in French bean. Plant Physiol 131: 237–244 Trumbore S (2006) Carbon respired by terrestrial ecosystems: recent progress and challenges. Glob Change Biol 11: 1–13 van Iersel MW (2003) Carbon use efficiency depends on growth respiration, maintenance respiration, and relative growth rate: a case study with lettuce. Plant Cell Environ 26: 1441–1449[CrossRef] Vijn I, Smeekens S (1999) Fructan: more than a reserve carbohydrate? Plant Physiol 120: 351–359 Windt CW, Vergeldt FJ, de Jager PA, Van As H (2006) MRI of long-distance water transport: a comparison of the phloem and xylem flow characteristics and dynamics in poplar, castor bean, tomato and tobacco. Plant Cell Environ 29: 1715–1729[CrossRef][Medline] Winzeler M, Dubois D, Nösberger J (1990) Absence of fructan degradation during fructan accumulation in wheat stems. J Plant Physiol 136: 324–329[Web of Science]
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