Journal of Experimental Botany, Vol. 53, No. 370, pp. 855-864,
April 15, 2002
© 2002 Oxford University Press
Original Papers |
The regulation of nitrate and ammonium transport systems in plants
1 University of British Columbia, 6270 University Blvd, Vancouver, V6T1Z4, Canada
2 Division of Life Sciences, University Of Toronto, 1265 Military Trail, Scarborough, Ontario, M1C 1A4 Canada
3 Environmental Biology, RSBS, Australian National University, GPO Box 475, Canberra ACT 2601, Australia
4 School of Biology, University of St Andrews, St Andrews KY16 9TH, UK
Received 21 August 2001; Accepted 3 December 2001
| Abstract |
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Inorganic nitrogen concentrations in soil solutions vary across several orders of magnitude among different soils and as a result of seasonal changes. In order to respond to this heterogeneity, plants have evolved mechanisms to regulate
and
influx. In addition, efflux analysis using 13N has revealed that there is a co-ordinated regulation of all component fluxes within the root, including biochemical fluxes. Physiological studies have demonstrated the presence of two high-affinity transporter systems (HATS) for
and one HATS for
in roots of higher plants. By contrast, in Arabidopsis thaliana there exist seven members of the NRT2 family encoding putative HATS for
and five members of the AMT1 family encoding putative HATS for
. The induction of high-affinity
transport and Nrt2.1 and Nrt2.2 expression occur in response to the provision of
, while down-regulation of these genes appear to be due to the effects of glutamine. High-affinity
transport and AMT1.1 expression also appear to be subject to down-regulation by glutamine. In addition, there is evidence that accumulated
and
may act post-transcriptionally on transporter function. The present challenge is to resolve the functions of all of these genes. In Aspergillus nidulans and Chlamydomonas reinhardtii there are but two high-affinity
transporters and these appear to have undergone kinetic differentiation that permits a greater efficiency of
absorption over the wide range of concentration normally found in nature. Such kinetic differentiation may also have occurred among higher plant transporters. The characterization of transporter function in higher plants is currently being inferred from patterns of gene expression in roots and shoots, as well as through studies of heterologous expression systems and knockout mutants. Key words: Ammonium, AMT1, flux regulation, nitrate, Nrt2.
| Introduction |
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Inorganic ions accumulated in plant cells serve nutritional, osmotic, signalling, and storage functions. Insufficient ion accumulation as well as excess accumulation may therefore compromise these functions. While vacuolar reserves may buffer the cytoplasm against short-term perturbations, in laboratory studies when external sources of ions are removed vacuolar reserves are typically exhausted within a few days (Glass, 1975
Given that both
and
commonly serve as sources of N for plant growth and that they share some metabolic pathways, it is perhaps not surprising to find that they possess features in common: (1) both ions are actively absorbed into root cells at low external concentrations; (2) influx measurements indicate the presence of two high-affinity transport systems (HATS) for
(one constitutive and the other inducible) and one HATS for
(3) influx of both ions is responsive to plant N status and subject to diurnal regulation; (4) molecular studies indicate the presence of seven HATS for
and five for
in A. thaliana; and (5) some of the genes encoding
transporters are subject to transcriptional regulation through inductive effects of
, while some of those encoding
and
transporters are subject to down-regulating effects of glutamine. Notwithstanding these similarities there are also distinct differences in the characteristics of
and
uptake, as well as differences among species in the extent of their utilization of these different nitrogen sources.
| Soil heterogeneity |
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Heterogeneity of soil nutrient availability is potentially the most important perturbing effect upon plant nutrient status. In addition, seasonal and diurnal changes in growth rates and plant demand for resources are also substantial. In this paper, the main focus will be upon flux regulation in response to perturbations of external supply and, in particular, the responses of the HATS for
and
to these perturbations. In the context of these effects that would displace the plant from steady state, ion fluxes are regulated by feedback from various cellular parameters that serve to counteract such changes.
According to data compiled previously,
and
concentrations of agricultural soils range across three to four orders of magnitude (Wolt, 1994
). The situation is even more variable in natural soils (Jackson and Caldwell, 1993
). In addition, specific habitats (e.g. mature forests, arctic tundra) may be characterized by nitrogen profiles dominated by ammonium or amino acids, rather than
. Many species occupying such habitats have become specialists, absorbing
or amino acids in preference to
(Kielland, 1994
; Kronzucker et al., 1997
; Nasholm et al., 1998
, 2000
). Even when
exceeds
by as much as 10-fold,
uptake may still greatly exceed that of
in field and laboratory studies (Gessler et al., 1998
). In a study of nitrogen absorption by tomato (MY Siddiqi et al., unpublished data), it was demonstrated that 50% of plant N was absorbed as
, even though this ion represented only 10% of available N, the remaining 90% being
. In the context of this variability of N supply plants have evolved numerous mechanisms (physiological/biochemical, developmental and life history-based strategies) that enable them to optimize nitrogen acquisition. Included among the physiological adaptations, are the up-regulation of nitrogen uptake under conditions of N-limitation, but also the restriction of nitrogen uptake under conditions of N excess. The latter presumably serves to minimize potentially harmful osmotic or specific ion effects.
Physiological characterization of and uptake
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Measurements of 13
influx and net
uptake by several groups have revealed the presence of three transport systems for
and two for
(reviewed in Glass and Siddiqi, 1995
from low external
. The extent of this flux varies among and within species (Siddiqi et al., 1989
there is a rapid increase of an inducible high-affinity influx (iHATS), which is followed (after several h) by an equally rapid down-regulation of this flux (Siddiqi et al., 1989
among species. For example, in Picea glauca, it was necessary to expose plants to
for 3 d in order to induce peak 13
influx (Kronzucker et al., 1995
and
are capable of inducing this flux (Siddiqi et al., 1992
Several studies have demonstrated that the provision of
to N-deprived roots may initially increase
uptake prior to down-regulating the flux, and the term induction has also been applied to this initial increase of influx (see Kronzucker et al., 1998
, for references and discussion). However, in these studies high-affinity
influx was already high (de-repressed) before exposure to
, and it has been demonstrated that, in rice, the increase of
influx resulting from
pretreatment was relatively small (2540%) (Kronzucker et al., 1998
). By comparison, a 30-fold increase of 13
influx was recorded in Klondike barley following pretreatment with
(Siddiqi et al., 1990
). Kronzucker et al. concluded that the evidence did not support a true inductive effect of
(Kronzucker et al., 1998
).
At nitrate and ammonium concentrations between
200 to 500 µM, low-affinity transporter systems (LATS) for these ions become apparent. These were evident in earlier studies (Doddema and Telkamp, 1979
; Ullrich et al., 1984
), but were largely overlooked, in part because the measurement of
and
uptake at high concentration by depletion methods was typically insufficiently sensitive to characterize these transporters. A perplexing feature of these high capacity low-affinity transporters has been their linear concentration responses (Pace and McClure, 1986
; Ullrich et al., 1984
), that were earlier suggested to result from diffusive fluxes. However, although
fluxes via LATS are typically thermodynamically downhill (Ullrich et al., 1984
; Wang et al., 1993
), the LATS for
was shown to be active even at high external
concentration and mediated, like the iHATS, by a proton:nitrate symport (Glass et al., 1992
).
| Homeostatic processes for nitrogen uptake |
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As outlined above, the uptake of both
and
is subject to down-regulation as tissue N levels approach some upper limit. As early as 1906, Brezeale demonstrated, using hydroponic wheat plants, that withholding K, P, N, Ca or S for 18 h resulted in several-fold increases in rates of absorption of the particular nutrient that had been withheld (Brezeale, 1906
concentrations were maintained from 14.3 µM to 14.3 mM, plant growth was only modestly affected and tissue nitrogen concentration remained essentially constant (Clement et al., 1978
transport shows the same general homeostatic propensity (Wang et al., 1993
concentrations severely limits the range of
concentration over which adaptation is possible. In a study of 13
fluxes across the plasma membranes of barley roots, Britto et al. showed that at 10 mM external
, active
efflux rose to 76% of the value of influx (Britto et al., 2001
, but with active extrusion. In summary, while high-affinity
fluxes are effectively regulated, transport via the low-affinity system is poorly regulated, resulting in considerable futile cycling of
across the plasma membrane as well as toxic effects of excessive
accumulation (Britto et al., 2001
Studies of the many component
and
fluxes that occur in plant cells are severely limited, even in single-celled organisms by cellular compartmentation. In multicellular plants fluxes to and from roots via xylem and phloem further complicate the situation. Therefore, for technical reasons involving the ease of measurement, the emphasis in studies of the mechanisms responsible for ion fluxes and their regulation has been upon the influx step (
oc) across the plasma membrane. Nevertheless, there is evidence to suggest that efflux from cytosol to cell wall (
co), fluxes across the tonoplast (
cv and
vc), from cytosol to xylem (
cx), as well as fluxes to biochemical pathways appear to be co-ordinated. The use of efflux analysis to estimate the half-lives (t0.5) for 13
and 13
residence within the cytosolic compartment, has revealed that t0.5 values are virtually independent of prior nitrogen provision (Siddiqi et al., 1991
; Wang et al., 1993
; Britto and Kronzucker, 2001
). Figure 1
shows data for 13
efflux from roots of barley grown under steady-state conditions with various concentrations of nitrate for 7 d prior to labelling with 13
and subsequent measurement of 13
efflux into non-labelled solutions of the same
concentration (Britto and Kronzucker, 2001
). Despite the wide range of
concentrations used and the substantial changes of measured fluxes, the rate constants for 13
efflux were essentially identical (0.0408, 0.0400, 0.0417, 0.0418, and 0.04908 min-1 for plants grown in 10, 1, 0.1, 0.01, and 0 mM
, respectively). In a study of the effect of perturbing external
on 13
efflux from barley roots, Britto and Kronzucker showed that when external
concentration was increased or decreased, respectively, from 1 mM to either 10 mM or to 100 µM, there was initially a rapid increase or decrease, respectively, of 13
efflux (Britto and Kronzucker, 2001
). Yet, despite this initial perturbation of tracer efflux, rate constants for this flux were restored to their original values within minutes as shown in Fig. 2
. Such results point to a precise integration of all component fluxes that impact upon cytosolic ion concentrations.
|
|
Several studies using 13
and 13
have demonstrated that
co increases as external ion concentration increases (Siddiqi et al., 1991
vc
cv) increases (van der Leij et al., 1998
cx) decreases (Kronzucker et al., 1998
oc, nor have genes yet been cloned that encode these transport systems. Likewise there is a lack of detailed studies of the fluxes of
and
into leaf cells. Having noted the paucity of information concerning fluxes other than the root influx step, the remainder of this paper, will focus on the regulation of high-affinity
and
influx across the plasma membrane of root cells. | Induction and down-regulation of influx |
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It is evident from a number of different studies that only
or
among potential products of nitrogen assimilation are capable of inducing
influx by the iHATS (Tompkins et al., 1978
and
are subsequently down-regulated (Lee and Rudge, 1986
and
transporters, two hypotheses emerged to explain this down-regulation. On the one hand it was proposed that accumulated
or
themselves, as opposed to their downstream metabolites, were responsible for down-regulation of fluxes. This was based upon inverse correlations between accumulated
or
and N fluxes in wild-type plants. This conclusion was supported by the results of experiments in which nitrate reductase (NR) was blocked by tungstate treatment in Lemna gibba and Helianthus annuus (Ingemarsson et al., 1987
itself was responsible for these effects. Likewise effects of MSX application (Ryan and Walker, 1994
itself was responsible for down-regulating
influx. On the other hand convincing support for effects of down-stream metabolites has been provided by experiments in which exogenously applied amino acids strongly inhibited both
and
influx, and by several studies in which MSX application blocked down-regulation (Lee and Rudge, 1986
influx was stimulated by MSX treatment in maize, in sorghum influx was inhibited. Likewise, Glass et al. observed that, in low-N rice plants, the effects of MSX were consistent with down-regulation of influx by end-products of
assimilation while in high-N plants
itself appeared to be involved (Glass et al., 1997
may reach as high as 80 mM when
assimilation is blocked by this compound (Lee and Ratcliffe, 1991
Genes encoding putative high-affinity and transporters
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The cloning of genes encoding putative high-affinity
transporters belonging to the NRT2 family of genes (see Forde, 2000
transporters of the AMT1 family of genes (see Howitt and Udvardi, 2000
and
influx to proceed to the transcript level. As was the case for induction of
uptake, only
or
were capable of inducing the accumulation of NRT2 transcript. Moreover transcript accumulation followed the same general patterns as had been observed for the induction of
uptake/influx, namely induction over a period of up to 3 h or more followed by down-regulation (Trueman et al., 1996
accumulation and increased NRT2 transcript abundance suggested that while
is responsible for inducing gene expression, it is down-stream metabolites that are responsible for down-regulation (Krapp et al., 1998
or amino acids (Quesada et al., 1997
provides little information concerning the N pools that might be responsible for these effects. Differences in uptake or assimilation of applied amino acids, as well as their inter-conversion obscure the sources of observed effects. In addition, exogenous application of various amino acids was shown to increase root [
] up to 6-fold in rice (Wang, 1994
,
, and/or amino acids) in the presence and absence of inhibitors of
assimilation, for example, tungstate (
) to block nitrate reductase, MSX to block glutamine synthetase, and azaserine (AZA) to block glutamate synthase, this confusion can be resolved. In barley, combining results based on the effects of exogenous applications of amino acids with data from inhibitor studies (Fig. 3
influx and NRT2 transcript in both A. thaliana and in H. vulgare (Zhuo et al., 1999
|
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Using A. thaliana as the model system, Rawat et al. demonstrated that up-regulation and down-regulation of 13
influx (following removal and restoration of exogenous N, respectively) was strongly correlated with AMT1.1 transcript abundance (Rawat et al., 1999
provision caused root [
] to increase 27-fold, while root glutamine levels remained at the original (N-deprived) level. Concurrent measurements of 13
influx and Northern analysis revealed that despite this increase of root [
], transcript abundance and influx remained almost at control (N-starved) levels. These results strongly suggest that glutamine is pivotal in regulating AMT1 transcript abundance.
| Multiple members of the Nrt2 and Amt1 families |
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In the study of barley NRT2 genes by Trueman et al., it was suggested that there might be as many as 810 homologues in this species (Trueman et al., 1996
for a period of 7 d before resupplying this ion. Category No. 1 includes AtNRT2.1 and AtNRT2.2, genes whose expression in roots increased 35-fold following provision of 1 mM
. Both genes are subsequently down-regulated, presumably by a gradual increase of tissue glutamine. In shoots expression levels of these genes increased by less than 50% in response to
provision, but, as in roots, this increase was followed by substantial down-regulation. Category No. 2 contains genes that are constitutively expressed, showing virtually no response to provision of
. In both roots and shoots AtNRT2.5 and AtNRT2.6 show this pattern while for AtNRT2.3 this pattern was restricted to roots. In shoots, AtNRT2.3 expression levels doubled by 48 h. Category No. 3 contains AtNRT2.4 and AtNRT2.7, genes that are immediately down-regulated following exposure to
(Okamoto et al., unpublished results). Interestingly, when AtNRT2.1 and AtNRT2.2 were first cloned from plants grown for several days with 1 mM KNO3 (Zhuo et al., 1999
, AtNRT2.2 transcript abundance is roughly equivalent to that of AtNRT2.1, however, by 12 h AtNRT2.2 transcript abundance is substantially reduced compared to AtNRT2.1. Based on the high levels of AtNRT2.1 and AtNRT2.2 transcript abundance in roots and the correspondence between the patterns of changes in transcript abundance and high-affinity
influx, these genes are good candidates for encoding iHATS. Recently, Filleur et al. have isolated a T-DNA insertional mutant of A. thaliana disrupted in adjoining AtNRT2.1 and AtNRT2.2 genes (Filleur et al., 2001
transport in this mutant was reduced to 27% of wild-type rates. Thus it can be concluded that AtNRT2.1 and AtNRT2.2 make major contributions to the iHATS. The extent to which the remaining transport is due to other NRT2 genes or to NRT1 (low-affinity transport) is presently unknown (Wang et al., 1998
If both AtNRT2.1 and AtNRT2.2 genes encode iHATS in roots, an important question is what (if any) differential roles these transporters might serve. Some suggestive answers to this question may be provided by comparisons with NRT2 genes of other organisms. In Aspergillus nidulans only two functional NRT2 genes appear to exist, and all four genotypes (wild type, double mutant and two single mutants) have been characterized with respect to 13
influx kinetics (Unkles et al., 2001
). Hoffstee plots of 13
influx indicate that both transporters contribute to
influx in wild-type strains, although the transporters show distinct kinetic differentiation. The NrtA (originally crnA) transporter has a high Vmax and high Km (564 nmol mg-1 DW h-1 and 96.3 µM, respectively) while the second transporter (NrtB) has a low Vmax and low Km (141 nmol mg-1 DW h-1 and 11 µM, respectively). Interestingly the corresponding transporters in Chlamydomonas reinhardtii also possess widely different Km values for
uptake (1.6 and 11 µM, respectively), but differ only slightly in Vmax values (9.0 and 5.6 µmol h-1 mg-1 chlorophyll, respectively (Galvan et al., 1996
). This kinetic differentiation presumably enables the organism to access
efficiently over a much wider range of concentration than would be possible by means of a single transporter. The A. nidulans double mutant is incapable of using
as sole source of N at concentrations up to 250 mM
or of absorbing 13
at concentrations up to 500 µM. Continued exposure to
leads to down-regulation of 13
influx in wild-type strains. This is due to down-regulation of NrtA, activity (Vmax values were 564±67 and 300±71 nmol mg-1 DW h-1 at 6 h and 16 h, respectively). By contrast, 13
influx via the NrtB protein was unaffected by duration of exposure to
(Vmax values were 141±6 and 162±26 nmol mg-1 DW h-1 at 6 and 16 h, respectively). This difference in response to duration of
exposure among the strains may be due to slower accumulation of
and products of
assimilation that would normally down-regulate gene expression in mutant strains expressing only the NrtB protein. Thus, by default, gene mutation is partially compensated for.
The AMT1 family of high-affinity
transporters contains five members, of which AtAMT1.1, AtAMT1.2 and AtAMT1.3 have been studied in detail (Gazzarini et al., 1999
). All three genes are expressed in roots, while only AMT1.1 is expressed in significant amounts in leaves. By measuring 14C-methylamine uptake by Saccharomyces cerevisiae mutants expressing these genes individually, it was possible to estimate Km values of
0.5 µM for the AtAMT1.1, transporter and
40 µM for the AtAMT1.2 and AtAMT1.3 transporters. During N starvation, transcript abundance of AtAMT1.1 increased 7-fold during 24 h (Rawat et al., 1999
). In a comparative study of root AtAMT1.1, AtAMT1.2 and AtAMT1.3 expression in response to N deprivation, it was shown that AtAMT1.1 increased 5-fold within 72 h, compared to a 2-fold increase in AtAMT1.3 and no change in AtAMT1.2 transcript abundance (Gazzarini et al., 1999
). In tomato, LeAMT1.1 and LeAMT 1.2 transporters are expressed in roots, while LeAMT1.3 is preferentially expressed in shoots (von Wiren et al., 2000
). Levels of LeAMT1.1 transcript in tomato roots also increased over time under conditions of N-deprivation and this was associated with a decline of glutamine and
pool sizes (von Wiren et al., 2000
). By contrast, and perhaps contrary to expectation, LeAMT1.2 transcript abundance increased following re-supply of
or
. This response may account for the initial stimulation of
influx that was discussed above following resupply of N to N-starved plants (Kronzucker et al., 1998
). LeAMT1.3 was not detected in roots.
A T-DNA insertional mutant has recently been isolated from Arabidopsis that fails to express AtAMT1.1 mRNA (Glass et al., 2001
). Surprisingly, since AMT1.1 shows the strongest response to N-deprivation and also had the highest affinity for
(at least when expressed heterologously in S. cerevisiae) disruption of this gene function reduced 13
influx by only 2030% (Glass et al., 2001
). It is possible that, because of reduced
uptake and thereby reduced negative feedback effects on transcript abundance of other AMT genes, there was compensation for the disruption of AtAMT1.1. This isssue is currently being explored.
Diurnal effects on and uptake
|
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There is now abundant evidence to confirm that
and
uptake display characteristic diurnal patterns (Clement et al., 1978
uptake occurred in the late afternoon while minimum uptake rates occurred at the end of the dark period or even in the first hours of daylight (Clement et al., 1978
flux declined substantially during the course of the greenhouse study (Clement et al., 1978
was reduced by only 6% in the dark compared to the light period (Rufty et al., 1984
uptake associated with darkness may be countered by exogenously applied carbohydrates (Sehtiya and Goyal, 2000
uptake, respectively, in the light, while in dark-grown plants the values were 38% for both barley and maize. Nevertheless, given that dark-grown seedlings should have been substantially more carbohydrate-depleted than light-grown plants, it is surprising that the sucrose effect was actually less (maize) or similar (barley) in dark-grown plants.
uptake in Phleum, Festuca and Arabidopsis also exhibits a diurnal periodicity, gradually increasing to a peak level toward the end of daylight hours (Macduff et al., 1997
; Gazzarini et al., 1999
), and the amplitude of the diurnal pattern of
,
and K+ uptake was highest on high irradiance days (Macduff et al., 1997
).
Molecular studies have demonstrated that diurnal patterns of N uptake are correlated with diurnal patterns of transcript abundance for the high-affinity NRT2 and AMT1 genes (Lejay et al., 1999
; Ono et al., 2000
; von Wiren et al., 2000
; Matt et al., 2001
). In A. thaliana, NRT2.1 expression in roots increased in daylight hours and declined in the first hours of the dark period, this night-time reduction being prevented by additions of sucrose (Lejay et al., 1999
). In roots of A. thaliana, all three members of the AMT1 family exhibited diurnal variation, with AtAMT1.3 expression showing the strongest correlation with diurnal patterns of 15
uptake. In leaves of tomato, LeAMT1.2 and LeAMT1.3 showed a reciprocal diurnal pattern of expression with LeAMT1.3 transcript being highest in darkness.
The conclusion that C and N metabolism are tightly linked is inescapable (Coruzzi and Bush, 2001
). In the study by Matt et al., the activities of various enzymes involved in nitrogen metabolism and their transcript abundances, including the high-affinity nitrate transporter, as well as concentrations of various metabolites (
, amino acids, sugars and 2-oxoglutarate) were measured during a diurnal cycle in tobacco (Matt et al., 2001
). Based upon the correspondence between root sugar levels and NRT2 transcript abundance (and a lack of correspondence with other metabolites) the authors concluded that root sugars were responsible for the diurnal pattern of NRT2 expression. It is intriguing to consider whether the effects of carbohydrate supply might act directly or indirectly on nitrogen pools and/or transcript abundances. For example, when carbohydrate supply to the root limits N assimilation and/or growth, accumulation of N metabolites might reduce expression of transporter genes or even act directly upon the transporters. Furthermore, the study by Matt et al. acknowledged that the observed correlations between NRT2 expression and root sugar levels were based upon whole root analyses (Matt et al., 2001
). Clearly, cytosolic metabolite concentrations might have provided a different conclusion.
In summary, a high degree of heterogeneity with respect to soil N availability and diurnal and seasonal variation in plant requirements for N impose a need to regulate N fluxes across the plasma membrane of plant roots in order to optimize plant N capture. The need to integrate/co-ordinate N acquisition from several potential soil N sources (
,
and amino acids) suggests that regulation might be most effective if a common end-product of
assimilation such as glutamine were to serve as the source of negative feedback. Experiments listed above indicate that this may be the case. Nevertheless, there is no reason to assume that, in addition to the clearly demonstrated regulation by transcript abundance, there will not be post-transcriptional regulation by other nitrogen sources. Indeed preliminary evidence for such effects has already been presented (Fraisier et al., 2000
; Vidmar et al., 2000
; Rawat et al., 1999
).
In addition to regulating influx across root plasma membranes, internal redistributions to vacuole and to xylem suggest that there is a need for integration of all component fluxes as well as for the integration of amino acid fluxes involved in nutrient cycling within plants. Thus far, the focus of attention in studies of inorganic N uptake at the physiological and molecular levels has been upon the regulation of root plasma membrane transporters. It is to be anticipated that future physiological and molecular studies will include fluxes to subcellular compartments and between major organs of the plant (such as fluxes from root to xylem, xylem to shoot) and leaf uptake of inorganic N.
| Acknowledgments |
|---|
The work undertaken by the authors was financed by grants from NSERC to ADM Glass, who gratefully acknowledges this support. In addition we gratefully acknowledge the provision of 13N by the UBC TRIUMF cyclotron.
| Notes |
|---|
5 Present address: Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2E9.
6 To whom correspondence should be addressed. Fax: +16048226089. E-mail: aglass{at}interchange.ubc.ca ![]()
| Abbreviations |
|---|
NR, nitrate reductase; NiR, nitrite reductase; GS, glutamine synthetase; Gln, glutamine; Glu, glutamate..
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Plants were grown for 7 d under steady-state conditions with respect to nitrate provision. Roots were then loaded with 13
during elution (from Britto and Kronzucker, 2001






