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Journal of Experimental Botany, Vol. 50, No. 336, pp. 1101–1114, July 1999 REVIEW ARTICLE Physicochemical aspects of ion relations and pH regulation in plants—a quantitative approach1 Jóska Gerendás2,4 and Ulrich Schurr3 2 Institute for Plant Nutrition and Soil Science, University Kiel, Olshausenstr. 40, D-24118 Kiel, Germany 3 Botanical Institute, University Heidelberg, Im Neuenheimer Feld 360, D-69120 Heidelberg, Germany Received 27 January 1999; Accepted 29 March 1999 Abstract A quantitative physicochemical approach to ion relations of biological solutions is presented, which applies fundamental laws of physical chemistry to these systems and allows analysis of dependent variables ([H+], [OH−] and the dissociation state of partially dissociated (‘weak’) ions including carbonate species) in relation to independent variables (concentrations of strong and weak ions, dissociation constants and CO partial pres2 sure). Within this concept the influence of strong (fully dissociated) ions is confined to their net unbalanced positive charge which is referred to as SID (strong ion difference). The SID concept is then applied to membrane transport processes and ion relations of xylem and phloem sap: simple transmembrane transport of protons between compartments cannot affect pH on either side of the membrane, because rather small deviations from electrical neutrality results in substantial changes of the membrane potential under natural conditions. Thus the membrane ATPases as electrogenic pumps cannot control the pH of adjacent compartments, but they energize secondary active transmembrane ion transport that results in pH changes. The SID approach is shown to be valid by matching pH values calculated from analysis of xylem and phloem saps with actual measured values. Sensitivity analysis based on the SID approach allows (1) to detect inconsistency in determination of composition in the analysed solutions and (2) quantitatively to analyse the influence of ion export or import and variations of pCO on pH and 2 dissociation state of weak acids of complex biological solutions. The SID concept thus allows the evaluation of the contribution of a proposed pH-regulating or pH-affecting mechanism on a quantitative physicochemical basis. Key words: Electrical neutrality, membrane potential, pH regulation, phloem sap, SID, xylem sap. Introduction The ionic composition of biological solutions, like cytosol, xylem and phloem saps as well as apoplastic fluids is determined by physical (e.g. gas exchange, transmembrane transport, membrane potential ) and chemical (e.g. metabolic conversion, dissociation) processes. Individual aspects have been described in detail (Raven and Smith, 1976; Gollan et al., 1992; Peuke et al., 1994), but an integrated approach is required to assess the interaction of the different processes involved. The SID concept (Stewart, 1978, 1981) addresses simultaneous acid–base relations of all substances present using physicochemical relationships. It is based on conventional laws of chemistry and physics which can be adequately described mathematically. The concerted combination of the underlying principles (ion dissociation, gas dissolution, ion exchange, electrochemical laws) has already been applied to acid–base control in human blood (Stewart, 1978). His concept has found wide application in animal sciences (Pieschl et al., 1992; Brechue et al., 1994; Whitehair et al., 1995) and human physiology (Lindinger et al., 1992; Fencl and Leith, 1993; Jennings, 1994), but attracted only limited attention in the plant sciences ( Ullrich and Novacky, 1990, 1992; Ratcliffe, 1994). The rigorous quantitative analysis shows that pH is a dependent variable and is determined by the independent variables of the system: (1) the strong ion difference (SID), which represents the net positive charge on the fully dissociated (strong) ions, (2) the total concentration of weak ions (ionizable groups) and (3) the partial pressure of CO . 2 Thus experiments that measure intracellular or extracellu- 1 Dedicated to the late Peter A. Stewart who established the physicochemical concept of acid-base chemistry to biology and medicine. 4 To whom correspondence should be addressed. Fax: +49 431 880 1625. E-mail: [email protected] © Oxford University Press 1999 1102 Gerendás and Schurr lar pH changes require detailed information on the distribution of all independent variables before a sound conclusion on the cause of pH changes can be drawn. In plants, the chemi-osmotic gradient theory for photosynthetic ATP synthesis is well established, but in addition to the original model (Mitchell, 1966) it was soon recognized that the substantial pH gradient across the thylakoid membrane, as observed in illuminated chloroplasts, simultaneously requires ion fluxes for charge compensation ( Edwards and Walker, 1983). The SID concept was successfully applied to this coupled system, and it was concluded that K+, Mg2+ or Cl− fluxes almost fully compensate for the charge separation due to H+ transport and thus allow substantial pH gradients (Good, 1988; Hangarter and Good, 1988; Ullrich and Novacky, 1992). Furthermore, when evaluating the ‘influence’ of pH on enzyme activities, it should be expressed more carefully as the relationship between pH and enzyme activity, considering the substantial changes in other dependent variables, like the dissociation state of metabolites and enzyme proteins (weak acids). Here the SID concept is applied to proton transport across membranes in general and to ion relations in the xylem and the phloem saps in particular, as these are easily obtained, but nevertheless relevant complex biological solutions. Materials and methods Plant material Seedlings of Populus tremula×Populus alba were grown as described previously (Schurr and Schulze, 1995). In short, saplings were transplanted to soil-filled planting pots topped with an aluminium lid with a central bore. The plants were grown for 6 weeks in a greenhouse before use. Seeds of Ricinus communis var. Carmencita soaked in water overnight were germinated in wet vermiculite (Heckenberger et al., 1998). When the seminal root was 3–5 cm long, seedlings were planted into the planting pots fitting into the root pressure chamber. Plants were grown for 6 weeks at 12/12h light/dark period at 25 °C and 60% relative humidity in a walk-in growth cabinet ( Weiss, Reiskirchen) at a photon flux density of 300 mmol m−2 s−1 at the top of the plants. For collection of xylem sap, root systems of plants were introduced into a root pressure chamber (Schurr, 1998). Pneumatic pressure was applied to the root system with the oxygen partial pressure of the gas maintained at ambient partial pressure by mixing pressed air with nitrogen gas. Populus saplings were decapitated and root exudate sampled at different flux rates by varying the overpressure at the root system. Xylem sap from intact Ricinus plants was sampled as previously described (Schurr and Schulze, 1995): When the pneumatic pressure in the root chamber increased above compensation pressure, xylem sap exuded at a cut in the midrib of a leaf. Pressure in the root chamber was controlled to keep the hydraulic pressure in the xylem sap at this cut at atmospheric pressure (Schurr et al., unpublished results). The xylem was opened at a second site below. This caused a constant exudation of xylem sap, which was sampled by a fraction collector. Phloem sap was sampled from incisions in the cortex of Ricinus communis plants yielding pure phloem sap collected directly into a glass capillary to prevent significant evaporation ( Komor et al., 1989; Baker, 1988). Analytical procedures Concentrations of cations and organic and inorganic anions in the xylem sap samples were analysed by capillary electrophoresis on a Spectra Phoresis 1000 (TSP, Darmstadt) according to Bazzanella et al. (Bazzanella et al., 1997). The electrolyte for cation determination contained 6 mM imidazol (pH 4.5) and 2 mM 18-Krone-6. Separation was performed in a 43 cm long capillary (75 mm diameter) at 20 kV at a capillary temperature of 20 °C with 3–5 s injection time. Electropherograms obtained by indirect UV detection at 214 nm were analysed by the TSP data system. The electrolyte for anion determination contained 7.5 mM salicylic acid, 15 mM TRIS, 500 mM DoTAOH, and 600 mM Ca(OH ) . Separation was done on a 76 cm long capillary (inner diameter2 75 mm) at −28 kV and a capillary temperature of 25 °C with 3–5 min injection time. Concentrations of amino acids were determined by HPLC after derivation of primary amino acids with o-phthalic acid dialdehyde (OPA). The derivatization reagent contained 25 mg OPA in 500 ml methanol, 4.5 ml 0.8 M borate buffer (pH 10.4), and 50 ml mercaptopropionic acid. Derivation of 35 ml of diluted xylem sap was performed automatically by the autosampler ( Kontron 465, Kontron, Eching). Separation was done after injection of 20 ml on a Hypersil ODSII column ( Knauer, Berlin) at a flux rate of 0.8 ml min−1 with a step mixing gradient. Detection of separated derivated amino acids was done fluorometrically (SFM 25, Kontron, Eching) with 330 nm excitation at 450 nm (emission wavelength). Chromatograms were quantitatively evaluated by a data system ( Kontron, Eching). Calculations The chemical equilibria for particular data sets were calculated using the program GEOCHEM-PC ( Version 2.0), kindly provided by Professor Dr D Parker ( University of California, Riverside, California). The program itself has been described elsewhere (Sposito and Mattigod, 1980; Parker et al., 1987, 1995). The original database was extended to data for glutamine, asparagine, c-butyric, and lactic acid ( Table 1). Stability constants of fixed ionic strength (Martell and Smith, 1976–1989) were extrapolated to infinite dilution using the Davies equation (Davies, 1962) as used by GEOCHEM-PC. Values refer to the following equilibria (M=metal, L=ligand, k=stability constant): a×M+b×t<c×ML k= [ML]c [M ]a×[L]b Values of dependent variables were calculated from independent variables using the spreadsheet programme (LotusTM Version 5.0). The stability constants were taken from GEOCHEM-PC calculations, where the conditional stability constants are corrected for ionic strength. An algorithm searching the minimum of the absolute electrical charge of a solution was used to calculate the equilibrium pH and based on this pH all other variables were determined. Formation of complexes was not taken into account. Results and discussion Theoretical considerations The ion relations of complex ‘systems’, like biological solutions, is influenced by several mechanisms (ion disso- Physicochemical aspects of ion relations 1103 Table 1. Stability constants (log(k) at infinite dilution) of glutamine, asparagine, c-butyric and lactic acid Constants for fixed ionic strength taken from Martell and Smith (1976–1989) were corrected to infinite dilution using the Davies equation as used by GEOCHEM-PC. Complex stoichiometry indicated by number of metal5number of ligands5number of protons. Ligand Ligand charge Metal log(k) Complex log(k) Complex Glutamine Asparagine c-aminobutyric acid Lactic acid Lactic acid Lactic acid −1 −1 −1 −1 −1 −1 H+ H+ H+ Ca2+ Mg2+ H+ 9.23 8.95 10.51 1.46 1.44 3.89 05151 05151 05151 15150 15150 05151 11.4 11.09 14.56 2.48 2.49 05152 05152 05152 15250 ciation, dissolution of CO etc.). Only the simultaneous 2 consideration of all mechanism can quantitatively explain the hydrogen ion behaviour (see Appendix for details). In this context, it is necessary to differentiate between ‘dependent’ and ‘independent variables’ (Baxley and Moorhouse, 1984; Haimovici, 1979). The values of the independent variables are imposed on the system from the outside (ion dissociation equilibria, conservation of mass etc) and determine the internal relations within the system. Dependent variables (dissociation state of buffers, pH, dissolved CO ) are internal to a system, depend on 2 the independent variables and can not be set arbitrarily. The correlation between the individual dependent parameters originates from the simultaneous determination by the independent variables, while the independent variables do not affect each other. In pure water, the proton concentration is defined by its own dissociation constant (the ion product of water) in combination with the requirement for electrical neutrality (see Appendix for details). In an aqueous solution containing fully dissociated ions (e.g. K+, NO−) the 3 requirement for electrical neutrality has to be fulfilled for these ions as well as for water. The net positive charge is called the strong ion difference [SID] which also lent its name to the concept in general. Put simply, whenever [SID] is positive, i.e. the strong cations exceed strong anions, the solution is alkaline (Fig. 1). The proton concentration is hence given by [H+]= S A k∞ + w B [SID] ([SID]) 2− 2 2 and determined by [SID] and k∞ . w Close to [SID]=0 there is a smooth transition from the linear to the non-linear part of the relation between [H+] and [SID], where the proton concentration approximates the square root of the ion product of water. In this [SID] range the pH scale exhibits a substantial change (Fig. 1B), which does not reflect the actually gentle change of proton concentration. The symmetry of the pH titration curve suggests that the proton concentration behaves in much the same way in either acid or alkaline solutions, which is clearly not the case (Fig. 1A). In contrast, [ H+] Fig. 1. Hydrogen ion [ H+], hydroxyl ion [OH−] concentrations (A), and pH and pOH (B) plotted against strong ion difference [SID], over the [SID] range from −0.02 to +0.02 mmol l−1. and [OH−] are linearly related to [SID] in acid and alkaline solutions, respectively. Protons seem to behave like strong ions in acidic solutions. However, the quantitatively identical increase of [ H+] in a solution when x moles of HNO are added are due to the addition of the 3 otherwise unbalanced addition of x moles of an anion, rather than to the addition of available protons. The corresponding increase in proton concentration is due to the recruitment of protons from water to maintain electrical neutrality. This means that in alkaline solutions (e.g. cytosol ) the changes in [SID] and [OH−] are several orders of magnitude larger than changes of [ H+] (Figs 5, 6, 8). 1104 Gerendás and Schurr Weak electrolytes are important for all biological solutions and are traditionally referred to as ‘buffers’. These introduce another set of variables (total weak acid concentration, A ) and parameters (weak acid dissociation tot constant) that need to be considered. Including weak electrolytes results in a fourth order polynomial (see Appendix), which relates the proton concentration to the ion species in the solution (Fig. 2). The pH-scale can be misleading as well. Adding a weak acid to a solution of [SID]=0 results in a much lower pH than in simple strong ion solutions (compare Fig. 1). Increasing [SID], e.g. by adding NaOH, to half the concentration of the weak acid added ([A ]/2), results tot in a pH at the maximal buffering capacity (indicated by the low slope of the pH curve in Fig. 2). Adding more NaOH results in a substantial pH increase when [SID] approaches [A ]. However, the actual proton concentratot tion, when [SID] equals [A ]/2 changes only gradually tot and the [ H+] approaches the abscissa asymptotically at [SID]=[A ], which contrasts with the strong increase in tot the pH value. Any one of the dependent variables can be changed exclusively by changing the independent ones, and this will always affect all dependent variables to some degree. The dependent variables are thus correlated to each other, but they never determine each other. For example, it is not appropriate to say that changes of [ H+] cause changes of the dissociation of weak acids ( [A−] and [ HA]), these changes only accompany each other. The Henderson– Hasselbalch equation represents only one of the four equations necessary for quantitative analysis. Of course, even in a quantitative physicochemical analysis the buffer equation is used to calculate the concentration of individual ion species after the equilibrium [H+] has been determined by considering all equilibria simultaneously. CO is a major determinant of pH in biological solu2 tions and forms dissolved CO (d ), free carbonic acid 2 (H CO ), bicarbonate (HCO−), and carbonate (CO2−). 2 3 3 3 The concentration of CO (d) is governed by the partial 2 pressure of CO ( pCO ), which is the independent vari2 2 able. For simplicity, dissolved CO and free carbonic acid 2 are combined as H CO*. After combining these CO 2 3 2 equilibria with the water and the weak acid dissociation equilibrium, the conservation of the total mass of the weak acid and the electrical neutrality, the behaviour of dependent variables in a system containing strong ions [SID], and a single weak acid [A ], and which is in tot equilibrium with CO (the independent variables) can be 2 quantitatively analysed. Seven dependent variables, namely [HA][A−][H CO*][HCO−][CO2−][H+][OH−] 2 3 3 3 are determined by the independent parameters: k∞ k k k k [SID] [A ] p(CO ) w a CO2 HCO3 CO3 tot 2 The correct proton concentration can only be calculated by taking into account all relationships simultaneously. The SID concept will now be applied to a number of biologically important situations and the determinants of proton concentration in these solutions quantitatively evaluated. In order to cope with more complex biological solutions (xylem and phloem saps, cytosolic fluids) the contribution of all individual constituents has to be taken into account resulting in a large set of equations (25 amino acids, 10 organic acids and phosphate), solved numerically using GEOCHEM and a spreadsheet program. Membrane potential and pH regulation Electrical neutrality implies an isolated system like a beaker or pot. However, living plant cells typically have a electrical potential difference across the plasma membrane of −50 to −150 mV (Nobel, 1991; Ullrich and Novacky, 1990), reflecting the fact that the negative charges inside plant cells exceed the positive ones. Nevertheless, this surplus of negative charge is minute both in absolute terms and in relation to the overall charges present in plant cells (Allen and Raven, 1987; Nobel, 1991). The membrane potential can be incorporated into the SID concept considering appropriate pCO 2 and intracellular metabolite concentrations. The relationship between the membrane potential and the extra negative charge is given by DE= Fig. 2. Relationship between [H+] and [OH−] versus [SID] for a weak acid solution with [A ]=0.02 mol l−1 and k =3×10−7 mol l−1. The tot A vertical dashed lines are at [SID]=A and at [SID]=[A ]/2 (= tot tot 0.01 mol l−1). (r×c×F ) 3C∞ with DE=membrane potential, r=cell radius, c=uncompensated charge, F=Faraday constant, and C∞=membrane capacitance per unit area (10−2 C V−1 m−2; Nobel, 1991). For calculation, three weak acids were considered Physicochemical aspects of ion relations as specified Table 2, which results in a buffering capacity of 24 mmol H+ l−1 pH−1 at pH 7.26. As the three buffers differ in pK and concentration the buffering capacity a was obtained by determining the change of SID required to alter the original cytoplasmic pH by only 0.1 unit. As opposed to the conventional approach, where the buffering capacity is pre-set ( Walker and Smith, 1977; Guern et al., 1982), the SID concept allows the consideration of a large number of ‘buffers’ of different pK and a concentration, which ultimately results in the familiar, pH-dependent buffering capacity of xylem sap (Gollan et al., 1992), cytoplasmic and vacuolar fluid (Takeshige and Tazawa, 1988) by evaluating all dissociation equilibria simultaneously (see Figs 3, 4). The buffering capacity of 24 mmol H+ l−1 pH−1 represents the low end of the range observed ( Kurkdjian and Guern, 1989) in order not to underestimate the impact of the membrane potential on intracellular pH. For the same reason a small cell diameter was chosen, since the impact of the membrane potential on the intracellular pH is higher in small cells ( Walker and Smith, 1977; Guern et al., 1982). The calculated charge distribution and the corresponding pH for a model plant cell is presented in Table 2. The membrane potential is energized by the plasma membrane ATPase in plant cells (Spanswick, 1981; Serrano, 1989). Occasionally it has been discussed in terms of pH regulation itself (Bertl and Felle, 1985; Mathieu et al., 1986; Marré et al., 1988). Although at first glance it sounds convincing to assume that the ATPase can excrete excess protons generated during meta- 1105 bolic activity, a closer look reveals that the capacity of simple proton extrusion is minute: considering typical cells (internal buffers, CO ) as specified in Table 2 the 2 extra negative charge generated by an enforced action of the H+-ATPase (proton pump) would amount to about 2.4 mmol l−1 in order to change the cytoplasmic pH by as little as 0.1 units. However, this would result in a unrealistic membrane potential of several hundred V (not mV ). Only cells deprived of their internal buffers and of CO would change their pH within the normal membrane 2 potential range. Even very small deviations from electrical neutrality have serious consequences for the membrane potential ( Table 2), which means that within the membrane potential relevant for (plant) cells the translocation of protons has no consequence for cytoplasmic (and external ) pH. An earlier analysis using a more conventional approach ( Walker and Smith, 1977) reached the same conclusion. In the context of the SID concept, whenever pH changes are observed within or outside living cells, independent variables like SID, pCO or A 2 tot have changed. In most situations [SID] changes as a result of strong ion movements across the plasma membrane (Stewart, 1983). Proton and strong ion movement are strictly coupled via its impact on the membrane potential (Nobel, 1991). It has been pointed out that ‘micromolar concentrations of K+ are high enough to release the [proton] pump from voltage inhibition created by its electrogenic activity’ ( Kurkdjian and Guern, 1989). The SID concept provides a valuable tool for designing experiments on the stoichiometry of ion uptake at the Table 2. Relationship between the membrane potential, the calculated extra negative charge and the cytoplasmic pH The following assumptions were made: Spherical cells, 10 mm cell diameter, 100 mmol l−1 cations, anions as required to start at pH 7.26 for the individual data sets. Weak acids: 20 mmol l−1 phosphate (pK =7.2), 40 mmol l−1 histidine buffer (pK =6.5) and 50 mmol l−1 amino buffer (pK = a a a 9.7) were applicable. Membrane potential [mV ] Calculated buffering capacity [mmol H+ l−1 pH−1] pCO 2 [Pa] Internal pH Extra negative charge in mmol l−1 Extra negative charge in relation to the total internal negative charges [in ppm] Cells with internal buffers and in equilibrium with CO 2 0 24 −100 24 −200 24 −300 24 −50 000 24 30 30 30 30 30 7.2587 7.2588 7.2590 7.2591 7.3261 0.0000 −0.0031 −0.0062 −0.0093 −1.5544 0.0 −20.7 −41.5 −62.2 −10 270.7 Cells without internal buffers in equilibrium with CO 2 0 0 −100 0 −200 0 −300 0 −50 000 0 30 30 30 30 30 7.2586 7.2747 7.2903 7.3053 8.5448 0.0000 −0.0031 −0.0062 −0.0093 −1.5544 0.0 −31.1 −62.2 −93.3 −15 306.7 0 0 0 0 0 0 7.2581 8.2269 8.5103 8.8024 8.9756 11.1916 0.0000 −0.0016 −0.0031 −0.0062 −0.0093 −1.5544 0.0 −15.5 −31.1 −62.2 −93.3 −15 544.1 Cells without internal buffers in the absence of CO 2 0 0 −50 0 −100 0 −200 0 −300 0 −50 000 0 1106 Gerendás and Schurr plasma membrane and the tonoplast and for putting their quantitative interpretation on a sound physicochemical basis ( Ullrich and Novacky, 1992). Composition of xylem sap and sensitivity analysis using the SID concept Full coverage of all independent parameters is required to apply the SID concept to complex solutions in a quantitative way, but in many cases this is hardly possible for technical reasons. Nonetheless, the SID concept may contribute to the understanding of pH regulating and pH changing processes by comparing a ‘control’ measurement with a ‘treated’ system. By making reasonable assumptions and bringing the calculated pH for the ‘control’ in agreement with its measured pH (in analogy to the calculations presented in Table 2) it is possible to evaluate to what extent the pH change observed in the ‘treated’ system agrees with the calculated pH. Fortunately, xylem sap can be obtained in large enough quantities from decapitated plants by applying pneumatic pressure to the root system. pH values were determined and the samples were subsequently analysed for all known major constituents. Variations of flux conditions caused considerable alterations of exudate composition ( Table 3, Schurr and Schulze, 1995). The calculated pH depends on the partial pressure of CO , which has not been determined in the 2 xylem vessels in these experiments. However, in woody stems concentration of CO has been reported to be 2 considerably higher than in ambient air ( Eklund, 1990): 0.2–1.8 vol-% CO , Macdougal and Working, 1933, cited 2 in Stiles, 1960: 1.25 vol-%). Occasionally even concentrations of 10 vol-% and higher have been reported (Carrodus and Triffett, 1975; Eklund, 1990). Inside bulky organs (potato tubers, carrot taproots and apples) stored at low temperature, concentrations of 1.8–10 vol-% CO 2 have frequently been documented (Stiles, 1960). Therefore, values of 0.32–3.2 vol-% CO ( pCO =320– 2 2 3200 Pa) were included, which correspond to 10–100-times the atmospheric CO level, in the calcula2 tions of xylem sap from stems of young Populus ( Table 3) and Ricinus plants (see below). Table 3 shows that the calculated pH (considering a 10-times ambient CO level ) 2 for the xylem sap of Populus plants agrees well with the measured pH ( Table 3), particularly at the beginning of the experiment. The deviation at the end of the experiments might be due to as yet undetermined constituents of the root exudate or to analytical error (see below). Xylem sap from intact Ricinus plants was sampled with a root pressure chamber (Schurr, 1998), and the calculated and measured pH values are included in Table 4. The measured pH is rather stable during the time-course, while the calculated pH values tend to increase with time (except for the 5th time interval ). The reason for this behaviour could not be identified, but apparently the Table 3. Composition of the xylem sap obtained from decapitated Populus plants During the experiment the pneumatic pressure at the root system was stepwise increased to obtain differences in xylem flux rate. All values in mmol l−1. Measured and calculated pH values at various CO partial 2 pressures are given. Calculations were carried out using GEOCHEM. Constituent Pressure in the root chamber [105 Pa] 4 3 2 1 Inorganic cations NH 4 K Na Ca Mg 288.0 1869.0 190.0 192.5 99.5 290.5 1868.0 416.5 176.0 107.5 348.0 2281.0 408.5 333.5 178.5 320.5 2767.5 803.0 349.0 218.5 Inorganic anion NO 3 SO 4 PO 4 Cl 1890.9 136.7 240.7 45.9 1923.9 138.7 258.3 204.7 2195.5 196.7 321.0 245.4 2655.0 126.4 390.8 475.3 43.3 59.9 48.6 57.5 62.2 73.1 84.4 97.5 2.6 203.7 7.3 461.5 16.5 11.2 6.9 8.3 2.9 285.6 9.5 648.8 13.2 15.3 6.1 342.1 14.6 764.6 10.2 18.7 9.5 14.1 8.9 14.1 11.0 16.8 Organic anions Citrate Malate Amino acids Asp Glu Asn Ser Gln Gly Thr His Ala Arg GABA Val Met Ile Leu Measured pH Calculated pH at pCO =32 Pa 2 pCO =320 Pa 2 pCO =3200 Pa 2 1.2 2.1 199.2 15.2 532.1 8.4 8.2 6.7 11.2 1.8 8.5 7.4 1.7 6.0 5.0 13.7 7.1 2.1 7.0 6.7 6.69 6.56 6.65 6.62 7.15 6.55 5.7 7.15 6.55 5.70 7.55 6.90 6.05 7.70 7.05 6.15 calculated pH, assuming a pCO of 320–3200 Pa (see 2 above), agrees well with the measured pH, again particularly at the beginning of the experiment. The authors do not recommend calculating the pH of xylem saps rather than measuring it, since the latter is certainly much easier. However, the SID concept may be used (1) to check the completeness of the analytical data ( Frischmeyer and Moon, 1994; Oster et al., 1988) and (2) to quantify the sensitivity of concentrations of protons and other ion species to variations of the solution—an approach that can be used to evaluate the significance of proposed mechanisms on a quantitative basis. For example, starting from the given xylem sap composition in Ricinus ( Table 4), it is possible to investigate how sensitively the pH, the concentration of various carbonate species and the dissociation state of various weak acids Physicochemical aspects of ion relations 1107 Table 4. Composition of the xylem sap obtained from Ricinus communis in a time-course experiment and the modified ‘standard xylem sap’ used for subsequent sensitivity analysis: all values in mmol l−1 Constituent Inorganic cations K Ca Mg Na NH 4 Inorganic anions NO 3 PO 4 SO 4 Cl Organic anions Acetate Citrate Lactate Amino acids Asp Glu Asn Ser Gln Gly Thr His Ala Arg Val Met Phe Ile Leu Lys Measured pH Calculated pH at pCO =32 Pa 2 pCO =320 Pa 2 pCO =3200 Pa 2 Time interval 21.30–22.40 8.40–9.30 9.30–10.30 10.30–11.30 11.30–13.00 13.00–14.00 Standard xylem sap 6186 1600 619 574 1193 5316 1306 537 1244 810 5567 1101 401 736 781 5138 974 412 900 1903 6023 937 458 1161 1081 6761 989 500 1308 1198 6210 1680 650 480 1370 9002 1022 685 175 8297 672 483 223 7282 526 403 197 7322 451 212 179 9512 559 347 215 9974 607 291 9590 1020 720 184 22 10 24 52 8 63 23 21 35 29 31 60 22 28 47 15 24 35 34 27 10 9 3 24 42 2526 24 34 23 31 27 30 5 3 17 12 1246 30 25 21 11 27 22 3 2 13 18 1020 29 23 20 7 14 18 2 1 3 14 17 1307 21 16 16 9 17 18 1553 23 24 13 17 18 1875 22 25 13 19 1 3 14 23 16 27 3 21 52 2393 31 36 23 35 25 33 4 12 15 42 23 14 24 13 18 12 14 13 17 16 29 15 39 6.02 5.92 5.71 5.38 5.33 5.27 — 6.60 6.55 6.05 6.85 6.70 6.10 7.55 7.00 6.30 8.15 7.40 6.60 4.80 4.75 4.60 7.15 6.85 6.15 — — — respond to changes of independent variables (SID, A ) tot or pCO . (1) Selective ion transport into or out of the 2 xylem will affect ion relations inside the xylem sap. When K+ is selectively removed, [SID] decreases, while removal of NO− has the opposite effect. H+ concentration 3 increases rapidly as [SID] falls below 0.05 mmol l−1 (Fig. 3A), and changes in pCO affect pH less at high 2 [SID] values. The semi-log pH plot in Fig. 3B gives a rather different impression and basically represents a titration curve. Here the influence of pCO seems to be 2 larger at high [SID] values. At the measured [SID] of 0.14 mmol l−1 a 10-fold rise from the normal pCO level 2 lowers the pH from 6.5 to about 6.3. The analysis using the SID approach makes it possible to address the question of how the dependent variables of the system respond to changes of [SID] on a quantitative physicochemical basis (Stewart, 1983; Ullrich and Novacky, 1992): An increasing [SID] has no influence on the uncharged H CO*, but raises the HCO− concentra2 3 3 tion ( Fig. 4). The response of the phosphate species is particularly informative. In a more conventional approach the addition of potassium (increases [SID]) would be discussed as a partial neutralization of the H PO− ion, ignoring CO and the other 20 organic 2 4 2 compounds involved (Table 4). In order to maintain electrical neutrality after an increase of [SID] by, for example, selective import of K+ or removal of NO−, the 3 system adjusts by additional negative charges from dependent variables like dissolved carbonate and the dissociation state of water and weak acids. The actual changes of H+ and OH− are minute (Fig. 4), and HCO− is only of moderate importance. Phosphate ions 3 are quantitatively most significant, since their changes are several orders of magnitude larger than those of H+. Increasing pCO raises the proton concentration, and 2 this effect is particularly strong at low [SID] values 1108 Gerendás and Schurr Fig. 4. Concentration of carbonate and phosphate species plotted against SID for the standard xylem model at pCO =320 Pa. The 2 vertical dashed line indicates the observed SID of 0.14 mmol l−1. Fig. 3. Proton concentration (A) and pH (B) plotted against SID for the standard xylem model at different pCO . The vertical dashed line 2 indicates the observed SID of 0.14 mmol l−1. (Fig. 5A), while the semi-log pH scale gives a different impression of the same process (Fig. 5B). Looking at the concentration of carbonate and phosphate species (Fig. 6), H CO* concentration increases linearly with 2 3 pCO (equation 6). Its dissociation into HCO− results in 2 3 extra negative charge (equation 7), which again is mainly compensated for by the reduction of the double negatively charged HPO2− at the expense of H PO− ( Fig. 6). 4 2 4 Significant variations of pH in the rooting media, nutrient solutions and in the xylem sap have been reported in response to the form of N nutrition. While ammonium nutrition consistently caused a strong acidification and nitrate nutrition a moderate alkalization in the rooting media (Dijkshoorn, 1962; Kirkby and Mengel, 1967; Raven and Smith, 1976; Marschner and Römheld, 1983), considerable discrepancies were found in the effects on xylem sap pH: Allen and Raven (1987) reported a lower pH for the xylem sap of ammonium-grown Ricinus plants, while in other studies (Allen and Smith, 1986; Zornoza and Carpena, 1992) no substantial differences have been found. Occasionally even higher pH values in the xylem sap of ammonium-grown plants have been observed (Römheld et al., personal communication). With the background of the SID concept it is possible that these discrepancies are due to differences in the [SID] in the xylem, for example, due to variations in other nutritional aspects. Analysis of the pH effects on the basis of the SID concept have analytical limitations as (1) the data set must be complete and (2) common analytical uncertainties can cause substantial changes of the calculated pH, particularly in solutions of low buffering capacity as xylem fluids ( Table 5). The xylem sap of Populus and Ricinus plants was used as a reference model, and the consequence of a 5% error in the analytical determinations of anions, cations and amino acids was evaluated. As indicated in Table 5, even these moderate analytical errors, which are certainly within the limits of routine analytical procedures, result in considerable deviations of the calculated pH. Nevertheless, sensitivity analysis at a given composition gives valid results. Phloem Phloem sap differs significantly from xylem fluids as (1) it is a much more concentrated solution, (2) has a high pH (often around 8) and (3) contains a large number of important ionic metabolites (amino acids etc.) at high concentration ( Table 6). Consequently phloem sap has a much higher buffering capacity, which makes the calculations more stable against analytical errors. CO levels 2 Physicochemical aspects of ion relations 1109 Fig. 6. Concentration of carbonate, phosphate and glutamine species plotted against pCO for the standard xylem model at SID= 2 0.14 mmol l−1. Table 5. Impact of variations of independent parameters on the calculated pH of the xylem sap of Populus and Ricinus plants All values calculated using GEOCHEM ( pCO =300 Pa). 2 Calculated pH according to the original data Cations underestimated by 5% Anions underestimated by 5% Amino acids underestimated by 5% Phosphate and organic acids underestimated by 5% Fig. 5. Proton concentration (A) and pH (B) plotted against pCO for 2 the xylem model at different SID values. Populusa Ricinusb Calculated pH 6.55 Calculated pH 6.55 6.20 6.70 6.55 6.15 6.70 6.55 6.60 6.55 Observed pH 6.56 Observed pH 6.00 a see Table 3, second column (pressure 3×105 Pa) for composition. b see Table 4, first column (time interval 21.30–22.40) for composition. bear significant consequences for the pH of the phloem sap ( Fig. 9), since the dissolved carbonate species substantially contribute to the charge balance at alkaline pH (Fig. 8B). A positive relationship between the calculated and observed pH was obtained ( Fig. 7), and the r2 indicates that about 50% of the observed variation can be explained by the variation of [SID]. The mean pH calculated for 10 to 100-times atmospheric CO is 8.2 to 2 7.5 ( Table 6), and thus close to the actually measured pH and in agreement with reported values ( Tammes and van Die, 1964; Hall and Baker, 1972; Schurr et al., unpublished results). Due to the high buffering capacity of the phloem sap and the high concentration of physiologically important metabolites, the consequences of selective ion removal (variations of [SID]) and different pCO levels are particu2 larly rewarding. The change of [SID] has to be more substantial to cause a certain change in phloem pH ( Fig. 8) than in the xylem sap ( Fig. 3), due to the higher concentration of weak acids in the phloem sap ( Table 6). When [SID] is varied around its original values (72 mol l−1), the proton concentration is reduced with increasing [SID] (e.g. K+ uptake) particularly at higher CO concentrations (Fig. 8A). In order to maintain elec2 trical neutrality the phloem solution generates negative charges in accordance with all dissociation equilibria considered simultaneously (Fig. 8B). In contrast to the xylem sap, this is hardly accomplished by changing the dissociation state of phosphate, but merely by increasing levels of bicarbonate, carbonate and by increasing the dissociation of amino acids, among which glutamine is the most important. As compared to the changes of these ions the contribution of changes of the proton concentra- 1110 Gerendás and Schurr Table 6. The ionic composition of the phloem sap obtained from Ricinus communis plants (all values in mmol l−1): pH calculated using GEOCHEM-PC Plant identification Cations NH K Na Ca Mg Anions Cl SO 4 NO 3 PO 4 Organic acids Citrate Malate Oxalate Succinate Pyruvate Lactate Amino acids Asp Glu Asn Ser Gln Gly Thr His Ala Arg GABA Val Met Try Phe Ile Leu Lys Measured pH Calculated pH at pCO =32 Pa 2 pCO =320 Pa 2 pCO =3200 Pa 2 A B C D E F G 0.797 59.618 8.152 1.118 4.047 0.605 79.875 7.031 1.297 7.442 1.113 71.756 9.255 0.727 6.895 1.415 83.240 11.044 1.896 8.443 2.286 100.690 8.636 3.216 5.514 1.379 172.612 10.494 4.850 11.022 1.042 71.044 9.778 2.862 10.566 11.688 4.617 2.079 4.604 21.57 5.011 1.223 5.092 11.617 6.240 19.972 5.870 3.373 7.049 39.919 4.076 6.672 11.857 85.419 5.372 13.278 18.137 8.662 5.795 6.228 13.415 2.622 3.739 4.754 2.439 0.564 0.564 1.293 2.728 3.497 0.393 0.484 0.123 1.720 0.356 1.020 1.535 5.762 0.527 0.204 0.330 0.244 2.123 2.435 4.419 0.24 0.658 0.776 3.540 4.256 4.873 0.364 0.740 2.296 4.395 0.734 0.537 3.158 1.695 5.991 11.584 0.324 4.322 25.456 0.993 0.981 1.108 1.409 0.416 0.420 2.644 0.360 0.395 1.142 1.657 1.166 0.662 5.524 10.888 0.307 3.449 26.118 0.695 1.009 1.228 1.451 0.526 0.434 2.941 0.397 0.487 1.248 2.001 1.360 0.678 3.827 8.490 0.504 3.944 49.217 0.673 1.202 1.493 1.874 1.380 0.409 3.415 0.634 0.541 1.103 2.329 1.531 1.320 0.697 2.176 2.049 13.206 84.225 2.527 1.434 1.312 1.537 0.650 0.388 2.672 0.437 0.105 0.594 0.927 1.060 0.841 4.822 8.378 0.433 4.686 18.662 0.893 0.447 4.261 6.773 2.503 12.044 85.852 4.201 1.878 1.1945 2.449 0.397 2.506 3.866 0.776 0.175 1.346 1.822 1.405 0.8155 4.607 8.982 0.928 7.069 80.397 3.296 0.998 1.247 2.868 0.352 3.219 2.987 0.633 7.91 7.87 8.22 7.95 7.17 7.27 7.42 8.45 8.05 7.25 8.90 8.35 7.60 8.80 8.40 7.65 8.60 8.30 7.65 8.60 8.10 7.35 8.40 8.15 7.55 8.30 8.05 7.40 4.721 tion (Fig. 8A) is minute due to the high pH, and even the increase of the hydroxide concentration (not shown) does not significantly contribute to the charge balance. Impact of pCO on the proton and ion species concen2 tration of phloem sap is significant, due to the high SID values, pH and solubility of CO ( Fig. 9). At the actual 2 SID value found (72 mmol l−1) the calculated pH for pCO =320 Pa is around 8.4, which is close to what has 2 been observed or reported in literature (8–8.2 Tammes and van Die, 1964; Hall and Baker, 1972). The average observed pH was only 7.7 (see Fig. 7), which agrees with the reports of Allen and Smith (1986). Anions generated by the system to maintain electrical neutrality in response to rising CO levels are mostly bicarbonate and Gln− 2 0.740 0.073 3.062 0.765 0.186 0.186 1.065 0.989 0.756 ( Fig. 9) as well as numerous other amino acids (not shown) with pK values close to the pH of phloem saps a (Martell and Smith, 1976–1989). Conclusions The SID concept is based on fundamental laws of physical chemistry and provides a quantitative approach to acidbase equilibria, which allows alterations of dependent variables (dissociation state of weak ions, carbonate species, [H+], [OH−]) to be discussed in terms of changes of independent variables ([SID], total concentration of weak ions, pCO ). By incorporating the membrane potential in 2 this concept it could be illustrated that proton movement Physicochemical aspects of ion relations 1111 Fig. 7. Relationship between calculated and observed pH of phloem sap obtained from Ricinus communis plants. Fig. 9. Concentration of protons (A) and carbonate, phosphate and glutamine species at [SID]=72 mmol l−1 (B) plotted against pCO for 2 phloem sap obtained from Ricinus communis (sample C from Table 6). mechanisms with respect to pH homeostasis even of complex solutions like xylem and phloem saps. Acknowledgements Fig. 8. Concentration of protons (A) and carbonate, phosphate and glutamine species at pCO =320 Pa (B) plotted against SID for phloem 2 sap obtained from Ricinus communis (sample C from Table 6). The vertical dashed line indicates the observed SID of 72 mmol l−1. by itself cannot regulate intracellular pH. The SID concept also provides a useful tool to assess the completeness of data sets of solution composition and directs to critical points requiring careful analysis. An analysis of the quantitative impact of variations of independent variables on the pH (sensitivity analysis) allows to quantitatively assess the capacity of any proposed pH disturbing and pH regulating This work was supported by the Deutsche Forschungsgemeinschaft (SFB 199/C 1 and Schwerpunktprogramm 717 ‘Apoplast’). The authors gratefully acknowledge stimulating discussions with RG Ratcliffe ( University of Oxford), CI Ullrich ( University of Darmstadt) and W Hartung ( University of Würzburg). DR Parker ( University of California) provided a copy of GEOCHEM and helpful advice for using it. We thank K Herdel and R Feil for technical support, S Siebrecht ( University of Göttingen) for growing the Populus plants and H Rennenberg ( University of Freiburg) for supply of the saplings. We wish to thank B Sattelmacher for his interest in this work and J Sauter ( University of Kiel ) for helpful suggestions concerning the CO 2 concentration within plant tissues. Appendix Concentrations versus activities The dissociation equilibria are ultimately related to the activities of the ions involved, while the equilibrium constants are either based on ion concentrations for a given ionic strength or activities (effective concentrations, corrected for ionic strength by multiplying the concentration by the activity coefficient; [A]×f ={A}). In the calculations presented here, concentraA tions are considered and the concentration-based equilibrium constants as taken from Martell and Smith (1976–1989), are 1112 Gerendás and Schurr corrected for ionic strength using the Davies equation (Sigg and Stumm, 1996). A B √I log f = −1.82×106(eT )−3/2×C2 −0.3×I A 1+√I with e=dielectric constant, T=absolute temperature, C= charge of the ion, and I=ionic strength (1/2(C Z2). This i i approach eases the inclusion of a key boundary of the SID concept, namely the electrical neutrality, which is based on concentrations rather than activities Theoretical considerations on the SID concept In the quantitative acid-base chemistry of the SID concept as developed by Stewart (1978) a solution behaves as a ‘system’, whose internal relationships are based on fundamental laws of physical chemistry. ‘Independent’ variables are imposed on the system from the outside (e.g. concentration of fully dissociated ion, the total concentration of partially dissociated ion, dissociation constants). ‘Dependent’ variables are internal to a system, depend on the independent variables and can not be set arbitrarily. The functional relationships between the dependent and the independent variables are defined by elementary laws of chemistry and physics (water and ion dissociation equilibria, conservation of mass, etc.). In the following, two systems of increasing complexity (aqueous solutions with strong and weak ions in the absence and presence of CO ) are 2 characterized mathematically (see Stewart, 1978, for details). Aqueous solutions with strong and weak ions in the absence of CO : The proton concentration in pure water is determined by 2 the dissociation of water itself ([H+]×[OH−]=k ×[H O]), w 2 and because the dissociation of water is only 1.8×10−16 mol l−1 and the molar concentration of water is high (about 55.5 mol 1−1), the term k ×[ H O] is usually combined to k∞ to give the w 2 w ion product of water (Sigg and Stumm, 1996) [H+]×[OH−]=k∞ (1) w For the fully dissociated cations and anions the net charge needs to be considered. This term is given in mol charges l−1, which is the relevant SI unit. For consistency and clarity, the authors discouraged the use of the so-called C–A value, often cited in the plant science literature, as this term often includes partially dissociated ions (phosphate, ammonium) at an assumed charge, and since the term C–A has been used in the more conventional approaches to pH regulation. The impact of strong ions is confined to its charge and not to the substance from which it originates. For convenience and generalization the term ( [sum of cations]−[sum of anions]), the net positive charge of the strong ions, is substituted by [SID], the strong ion difference. ([sum ])−([sum ])=[SID] (2) cations anions All relevant biological solutions contain some ‘weak ions’ (referred to as ‘A’), which are only partially dissociated and are traditionally referred to as buffers. The dissociation is given by the weak acid dissociation equilibrium (e.g. k = A 10−6.5 mmol l−1). To comply with SI nomenclature the concentration of A is not given in eq l−1, but in mol of ionizable tot groups l−1. [H+]×[A−]=k ×[HA] (3) A Irrespective of the actual dissociation state the total amount of A needs to be conserved. [A ]=[HA]+[A−] (4) tot Electrical neutrality must be maintained in all solutions (for inclusion of the membrane potential see Results and discussion section). The electrical neutrality statement is thus given by the following equation: [H+]−[OH−]+[SID]−[A−]=0 (5) This set of four independent equations contains at least two independent variables ([A ] and [SID]), two constants (for a tot given temperature and ionic strength, k∞ and k ), and four w A dependent variables ([H+], [OH−], [A−], [HA]). Each additional weak acid has to be included analogously with a separate equation. The values of these dependent variables depend only on the independent variables and must meet all equations simultaneously. These equations are combined to determine the [H+] of this system. See Results and discussion section for typical relationships between [SID] and [H+] based on equation (6). [H+]3+(k +[SID])×[H+]2 (6) A +(k ×[SID]−[A ])−k∞ )×[H+]1−k ×k∞ =0 A tot w A w Aqueous solutions with strong and weak ions in equilibrium with carbon dioxide: All relevant biological solutions are exposed to exogenous CO or generate it during respiration and fermenta2 tion, which introduces another four species in the system. CO 2 dissolves in solutions to form dissolved CO (d ), free carbonic 2 acid (H CO ), bicarbonate (HCO−) and carbonate (CO2−). 2 3 3 3 The concentration of CO (d) is determined by the partial 2 pressure of CO , with which the solution is in equilibrium 2 (Henry’s law). Dissolved CO combines with water to form 2 H CO , but the actual concentration of H CO is really small. 2 3 2 3 For simplicity, dissolved CO and the actual H CO formed are 2 2 3 combined to H CO*. The quantitative relationship is given by 2 3 equation [7]. [ H CO ]=k ∞×pCO 2 3 H 2 k =3×10−7 mol l−1 Pa−1 (7) H∞ Carbonic acid dissociates to form bicarbonate, which itself dissociates into carbonate and protons. [H+]×[HCO−]=k ×[H CO*] 3 1 2 3 k =5×10−7 mol l−1 (8) 1 [H+]×[CO2−]=k ×[HCO−] k =5×10−11 mol l−1 (9) 3 2 3 2 These three equations together with the weak acid dissociation equilibrium (3), the conservation of mass for A (4), the water dissociation equilibrium (1) and the extended electrical neutrality statement (10) [H+]−[OH−]+[SID]−[A−]−[ HCO−]−[CO2−]=0 (10) 3 3 describe quantitatively the behaviour of dependent variables in a system containing strong ions [SID] and a single weak acid [A ], and which is in equilibrium with CO (the independent tot 2 variables). 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