|
Plant Physiol, May 2000, Vol. 123, pp. 371-380
Radiotracer and Computer Modeling Evidence that
Phospho-Base Methylation Is the Main Route of Choline Synthesis
in Tobacco1
Scott D.
McNeil,
Michael L.
Nuccio,
David
Rhodes,
Yair
Shachar-Hill, and
Andrew D.
Hanson*
Horticultural Sciences Department, University of Florida,
Gainesville, Florida 32611 (S.D.M., M.L.N., A.D.H.); Center for Plant
Environmental Stress Physiology, Department of Horticulture and
Landscape Architecture, Purdue University, West Lafayette, Indiana
47907 (D.R.); and Department of Chemistry and Biochemistry, New Mexico
State University, Las Cruces, New Mexico 88003 (Y.S.-H.)
 |
ABSTRACT |
Among flowering plants, the synthesis of choline (Cho) from
ethanolamine (EA) can potentially occur via three parallel,
interconnected pathways involving methylation of free bases,
phospho-bases, or phosphatidyl-bases. We investigated which pathways
operate in tobacco (Nicotiana tabacum L.) because
previous work has shown that the endogenous Cho supply limits
accumulation of glycine betaine in transgenic tobacco plants engineered
to convert Cho to glycine betaine. The kinetics of metabolite labeling
were monitored in leaf discs supplied with
[33P]phospho-EA,
[33P]phospho-monomethylethanolamine, or
[14C]formate, and the data were subjected to computer
modeling. Because partial hydrolysis of phospho-bases occurred in the
apoplast, modeling of phospho-base metabolism required consideration of the re-entry of [33P]phosphate into the network. Modeling
of [14C]formate metabolism required consideration of the
labeling of the EA and methyl moieties of Cho. Results supported the
following conclusions: (a) The first methylation step occurs solely at
the phospho-base level; (b) the second and third methylations occur mainly (83%-92% and 65%-85%, respectively) at the phospho-base level, with the remainder occurring at the phosphatidyl-base
level; and (c) free Cho originates predominantly from
phosphatidylcholine rather than from phospho-Cho. This study
illustrates how computer modeling of radiotracer data, in conjunction
with information on chemical pool sizes, can provide a coherent,
quantitative picture of fluxes within a complex metabolic network.
 |
INTRODUCTION |
All plants synthesize modest amounts
of choline (Cho) for incorporation into the membrane phospholipid
phosphatidylcholine (Ptd-Cho); the Cho requirement for Ptd-Cho
synthesis is approximately 1 to 2 µmol
g 1 fresh weight (Rhodes and Hanson, 1993 ). In
certain plants, Cho has an additional fate oxidation to the
osmoprotectant glycine betaine (GlyBet) (Gorham, 1995 ). Such plants may
accumulate GlyBet to levels exceeding 20 µmol
g 1 fresh weight, and so must produce far more
Cho than those that lack GlyBet (Rhodes and Hanson, 1993 ). This
difference between GlyBet accumulators and non-accumulators is
highlighted by the results of expressing bacterial or plant genes for
GlyBet synthesis in non-accumulators such as tobacco (Nicotiana
tabacum L.) and Arabidopsis. The engineered plants produce
relatively little GlyBet (<0.2-2 µmol g 1
fresh weight) unless they are given exogenous Cho, whereupon GlyBet
levels increase by >20-fold (Hayashi et al., 1997 ; Nuccio et al.,
1998 ; Huang et al., 2000 , and refs. therein). The evidence that the
endogenous Cho supply in tobacco cannot support high levels of GlyBet
synthesis focused our attention on how Cho is made in this species, and
on how metabolic flux to Cho is regulated.
Cho biogenesis has not been investigated in tobacco or other
Solanaceae, but radiotracer and enzymatic evidence for diverse plants
(both GlyBet accumulators and nonaccumulators) indicates that it can
proceed via three parallel, interconnected paths involving sequential
methylations of an ethanolamine (EA) moiety at the free base,
phospho-base (P-base), or phosphatidyl-base (Ptd-base) levels (for
review, see Rhodes and Hanson, 1993 ). Figure
1 shows the full network of these
reactions. The situation may be simpler in leaves, where there is
evidence only for P-base and Ptd-base pathways, the free base route
having been found only in endosperm (Prud'homme and Moore, 1992a ,
1992b ). A further simplifying hypothesis is that the first methylation
in leaves occurs only at the P-base level (Datko and Mudd, 1988a ,
1988b ). Results for leaves or cultured cells of species representing
five families are all consistent with there being a common phospho-EA
(P-EA) phospho-monomethylethanolamine (P-MME) step, followed by
methylations at the P-base level, the Ptd-base level, or both,
depending on the species (Rhodes and Hanson, 1993 ). There is evidence
from both GlyBet accumulators and non-accumulators that the enzyme
mediating the P-EA P-MME step, P-EA
N-methyltransferase, exerts substantial control over flux through the entire pathway. The activity of this enzyme is down-regulated when Cho is supplied to Lemna, carrot, or
soybean, and up-regulated in response to salt stress and light in
spinach (Mudd and Datko, 1989a , 1989b ; Summers and Weretilnyk, 1993 ;
Weretilnyk et al., 1995 ).

View larger version (16K):
[in this window]
[in a new window]
|
Figure 1.
The network of reactions that potentially
participate in Cho synthesis in flowering plants. Note that P-bases are
converted to Ptd-bases via cytidyldiphospho-base intermediates, which
have been omitted for simplicity. Enzymes mediating the free base and
P-base methylations are cytosolic (Prud'homme and Moore, 1992b ;
Weretilnyk et al., 1995 ); those mediating Ptd-base methylations are
microsomal (Datko and Mudd, 1988b ). The two-step chloroplastic pathway
leading to GlyBet is also shown; this step is only present in certain
species (e.g. Chenopodiaceae) and is absent from wild-type tobacco. Bet
ald, Betaine aldehyde.
|
|
In this study, we set out to establish the route(s) by which tobacco
makes Cho by combining the power of in vivo radiotracer labeling with
that of computer modeling. In moderately complex metabolic networks
such as that shown in Figure 1, computer modeling is indispensable for
coherent and quantitative calculation of fluxes (Bailey, 1998 ; Nuccio
et al., 1999 ). The modeling work aimed to identify which of the
pathways in Figure 1 carry most of the biosynthetic flux. This
knowledge is essential to understanding the metabolic constraints on
Cho production and, therefore, to designing engineering strategies to
overcome them.
 |
RESULTS |
Measurements of Growth and Pool Sizes
Our labeling experiments were carried out on discs from
half-expanded leaves because these appear to be the most active in Cho
synthesis (Nuccio et al., 1998 ). As growth must be factored into
metabolic models, we measured the expansion rate of such leaves, and
the results indicated increases in leaf area and mass of approximately
10% d 1. As we could find no published values
for Ptd-base levels in expanding tobacco leaf tissue, these were also
measured. Values (nmol g 1 fresh weight;
mean ± SE; n = 3) were: Ptd-Cho,
1,820 ± 490; Phosphatidyl-ethanolamine (Ptd-EA), 752 ± 96;
phosphatidyl-MME (Ptd-MME), <10. The phospho-Cho (P-Cho) (95 ± 17),
Cho (58 ± 8), P-EA (131 ± 5), and EA (95 ± 4) pool
sizes used to guide model development were as reported by Nuccio et al.
(1998) .
Partial Hydrolysis of P-Bases in the Apoplast
P-Cho has been shown to be hydrolyzed in the apoplast of cultured
sycamore cells (Gout et al., 1990 ), and there is indirect evidence that
this also occurs in tobacco plants (Nuccio et al., 1998 ). To determine
whether 33P-MME and 33P-EA
are also attacked by apoplastic phosphatase, we supplied them to leaf
discs and measured the levels of the supplied
33P-base and of 33Pi in the
extracellular (apoplastic) and intracellular compartments. Table
I summarizes results for
33P-MME. Label uptake was rapid (approximately
90% within 30 min), and at 30 min the majority of the absorbed label
was in 33P-MME. Of the label remaining in the
apoplast at 30 min, 30% was in the form of 33Pi,
indicating partial hydrolysis of 33P-MME before
uptake. More extensive hydrolysis of 33P-EA was
observed: after 30 min, 61% of the unabsorbed label was in the form of
33Pi (not shown).
View this table:
[in this window]
[in a new window]
|
Table I.
Partial apoplastic hydrolysis of 33P-MME
during uptake by tobacco leaf discs
Discs were each given 2 µL of a solution containing 1 nmol (1,000 nCi) of 33P-MME and 10 nmol of Pi. Batches of three discs
(approximately 50 mg fresh wt total) were incubated for the times
indicated, then washed for 15 min as described in "Materials and
Methods," and extracted. The label that was washed out was taken as
being extracellular (apoplastic) and the rest as being intracellular.
|
|
In experiments with 33P-MME or
33P-EA, we therefore minimized potential
complications arising from apoplastic hydrolysis by supplying them
together with a 10-fold excess of unlabeled Pi. We reasoned that a
large isotopic dilution of 33Pi upon its release
in the apoplast, coupled with further dilution by the intracellular Pi
pool (also large; Bligny et al., 1990 ), would make indirect labeling of
Cho synthesis intermediates from 33Pi less
important relative to their direct labeling from
33P-bases. To check this, we compared
33P incorporation into Ptd-Cho, the end product
of the Cho synthesis pathway, using batches of three discs given 3 µCi (3 nmol) of 33Pi or a similar amount of
33P-MME plus 30 nmol of unlabeled Pi. At 360 min,
[33P]-Ptd-Cho formation from
33Pi was approximately 8% of that from
33P-MME. As the 33Pi was
fed without a 10-fold excess of unlabeled Pi, the contribution to
Ptd-Cho synthesis of 33Pi released from
33P-MME can be conservatively estimated to be
less than 8%. The model developed to interpret the labeling patterns
from supplied 33P-MME and
33P-EA accounted for apoplastic hydrolysis and
for re-incorporation of a small amount of 33Pi of
low specific activity via the synthesis of P-Cho, P-EA, and P-MME from
the respective bases. Nuccio et al. (1998) showed that tobacco plants
readily phosphorylate Cho, EA, and MME.
Metabolism of 33P-MME and 33P-EA
Figure 2 is a schematic
representation of the model developed for 33P-MME
and 33P-EA labeling experiments. The fluxes in
this scheme are designated K1 through
K16; diagonal arrows designate transport into and
out of metabolically inactive storage pools (these storage pools, of
P-EA, P-MME, and Cho, are omitted from Fig. 2 for clarity). The fluxes
and pool sizes generated by modeling the data from the various labeling
experiments are presented in Tables II
and III, respectively (the pool size
values in Table III that were based primarily on measurements are
italicized to distinguish them from those that were model derived).
Figure 3 shows the fit between the
model-generated curves and experimental data points.

View larger version (20K):
[in this window]
[in a new window]
|
Figure 2.
Scheme of the model developed from the
33P-labeling experiments.
K1 through K16 adjacent to
arrows refer to flux rates given in Table II; metabolite pool sizes are
presented in Table III. All flux rates are assumed to remain constant
except for rates A, A', B, B', C, and C', which determine uptake and
apoplastic hydrolysis of supplied P-MME and P-EA. Exogenously supplied
33P-MME
(33P-MMEex) (specific
activity 1,057 nCi nmol 1) or
33P-EA
(33P-EAex)
(specific activity 1,000 nCi nmol 1) is taken up
into the apoplast at a rate proportional to the exogenous pool size
(A = 33P-EAex × 0.25 min 1; A' = 33P-MMEex × 0.3 min 1). The exogenous pool is taken up to an
apoplastic pool, of initial pool size 0 nmol g 1
fresh weight (specific activity 0 nCi nmol 1).
Rapid influx of the exogenous pool into the apoplastic pool
(33P-MMEap and
33P-EAap) causes expansion
of the apoplastic pool during the first 10 min. The apoplastic pool has
two fates: hydrolysis to base and 33Pi at a
variable rate (B = 33P-EAap × 0.05 min 1; B' = 33P-MMEap × 0.014 min 1), or uptake into a metabolic symplastic
pool at a variable rate (C = 33P-EAap × 0.0033 min 1; C' = 33P-MMEap × 0.015 min 1). The 33Pi released
from hydrolysis is diluted by a large endogenous unlabeled Pi pool
(10,000 nmol g 1 fresh weight). Diagonal arrows
designate transport to and from separate storage pools; rates are given
in the text. The asterisk denotes a flux (40 pmol
min 1 g 1 fresh weight)
from an EA source to Ptd-EA, apparent only in
[14C]formate labeling experiments. In the
33P-EA and formate models, rate
K10 refers to the flux EA + Pi P-EA, whereas
in the 33P-MME model, rate
K10 refers to the flux MME + Pi P-MME (Table
III). PA, Phosphatidic acid.
|
|
View this table:
[in this window]
[in a new window]
|
Table II.
Model-generated metabolic fluxes through the
Cho synthesis pathway for 33P-EA, 33P-MME, and
[14C]formate labeling experiments
Each numbered K value represents a metabolic flux from Figure 2. Fluxes
in and out of storage pools are given in the text.
|
|
View this table:
[in this window]
[in a new window]
|
Table III.
Pool sizes of the intermediates in Cho synthesis
used to model 33P-EA, 33P-MME, and
[14C]formate labeling experiments
|
|

View larger version (45K):
[in this window]
[in a new window]
|
Figure 3.
Observed and simulated radiolabeling of
metabolites in the Cho synthesis pathway in
33P-MME experiment one (A-C),
33P-EA experiment one (D-F), and
[14C]formate experiment one (G-I). Lines are
model-generated curves, and symbols are observed radioactivity values.
, Pi; , P-MME; , P-DME; , P-Cho; , Ptd-MME; ,
Ptd-DME; , Ptd-Cho; , P-EA; , Ptd-EA; , Cho; , sum of
(Ptd-EA plus phosphatidyl-DME). The P-MME and P-EA data points and
curves refer to the sum of all the pools (apoplastic, metabolic, and
storage) of these intermediates; Cho data points and curves are the sum
of the metabolic and storage pools. In C and F, Ptd-MME and Ptd-DME
data have been multiplied by 5 for graphical display on a scale
comparable to Ptd-Cho. In H, Ptd-MME and Ptd-EA plus Ptd-DME data have
been multiplied by 2.
|
|
The flux rates A, A', B, B', C, and C' in the model (Fig. 2) are
proportional to pool size. These rates determine the kinetics of label
entry into Pi and label recovery in the total endogenous P-EA and P-MME
pools (i.e. the sum of apoplastic and symplastic pools; Fig. 3, A and
D). The 33Pi released from hydrolysis of the
apoplastic 33P-EA and
33P-MME is assumed to be diluted by a large
endogenous pool of Pi (10,000 nmol g 1 fresh
weight) that includes the equivalent of 600 nmol
g 1 fresh weight of unlabeled Pi supplied (as
potassium phosphate) with the 33P-bases (Table
I). All other fluxes in the model are held constant. This
simplification was adopted instead of making all fluxes dependent on
pool size, because the values generated from more complex models with
pool-size-dependent fluxes were similar to those obtained using
invariant fluxes (data not shown).
33P-MME
When 33P-MME was supplied, both
P-DME and P-Cho acquired 33P rapidly (Fig. 3B).
P-DME lost label after 120 min as label continued to accumulate in
P-Cho (Fig. 3B). The Ptd-bases Ptd-MME and Ptd-DME acquired much less
label than the P-bases (note that radioactivity recovered in Ptd-MME
and Ptd-DME is plotted on a 5-fold-expanded scale in Fig. 3C). As
expected for the end product of the pathway, Ptd-Cho continued to
accumulate 33P throughout the experiment (Fig.
3C). In qualitative terms, these labeling patterns indicate that the
methylations in the Cho synthesis pathway are probably taking place
mainly at the P-base level. Modeling permitted quantitative and
specific conclusions: (a) the P-MME Ptd-DME step
(K2) carries 12 times more flux than the Ptd-MME
Ptd-DME step (K13); (b) the P-DME P-Cho
step (K3) carries 5.5 times more flux than the
Ptd-DME Ptd-Cho step (K14); (c) the labeling
patterns of P-Cho and Ptd-Cho are consistent with substantial recycling
of Cho moieties; this includes catabolism of Ptd-Cho to both P-Cho
(K5) and free Cho (K6) at
estimated rates of 400 and 350 pmol min 1
g 1 fresh weight, respectively. Note that the
catabolism of Ptd-Cho to Cho is assumed to liberate phosphatidic acid
that is further assumed to be hydrolyzed to Pi; (d) it is necessary to
invoke a small, metabolically inactive (storage) pool of P-MME in slow exchange (10 pmol min 1
g 1 fresh weight) with a metabolically active
pool; (e) the net synthesis rate of Ptd-Cho [(K4 + K14) (K5 + K6)], 110 pmol min 1
g 1 fresh weight, is adequate to meet growth
requirements, i.e. to maintain a pool of Ptd-Cho of 1600 nmol
g 1 fresh weight when the leaf expansion rate is
approximately 10% per day (160 nmol day 1
g 1 fresh weight = 111 pmol
min 1 g 1 fresh weight);
(f) free Cho is formed mainly from Ptd-Cho rather than from P-Cho.
In a second experiment, the supplied 33P-MME was
more extensively hydrolyzed to 33Pi. This was
accommodated in the model by diverting a greater proportion of the
apoplastic P-MME to hydrolysis. Other minor differences in model
parameters from the first 33P-MME labeling
experiment were: (a) the P-Cho pool size was 2.5-fold lower, and (b)
the methylation fluxes via the Ptd-bases (K13, K14) were 1.5-fold higher, and those via P-base
(K2, K3) correspondingly lower. With these modest exceptions, the model predictions (Tables II
and III) were essentially the same as for the first experiment.
33P-EA
The dose of 33P-EA substrate given was
similar to that in the 33P-MME experiments, but
the 33P recovered in Ptd-Cho was about 10-fold
less, and label incorporation into the other metabolites monitored was
similarly lower (Fig. 3, D-F). This was attributable to faster
hydrolysis of P-EA in the apoplast and to a somewhat lower endogenous
flux in the pathway, presumably due to variation between batches of
leaf discs. Quantitative explanation of the labeling kinetics of P-EA
specifically required that there be a small metabolic pool of P-EA
( 15 nmol g 1 fresh weight) and that the flux
from this pool to a large storage pool of P-EA (160 pmol
min 1 g 1 fresh weight)
be twice that of the P-MME pool. In considering the labeling kinetics
of intermediates derived from 33P-EA, the
labeling pattern of P-MME was also best accommodated by assuming
separate metabolically active and storage pools (Table III) in slow
exchange with one another (fluxes of 9 and 4 pmol min 1 g 1 fresh weight
into and out of the storage pool, respectively).
Although Ptd-EA acquired significant 33P label
within the first 60 min (Fig. 3F), modeling indicated that it was not
further metabolized to Ptd-MME or degraded to P-EA at a detectable
rate. Net synthesis of Ptd-EA
(K15 K16) was estimated to
be 50 pmol min 1 g 1
fresh weight, a rate that is adequate to maintain the Ptd-EA pool of
750 nmol g 1 fresh weight, assuming a leaf
expansion rate of approximately 10% per day.
Metabolism of [14C]Formate
Plant tissues rapidly incorporate formate carbon into
C1-substituted folate pools, and then, via Met
and S-adenosyl L-Met (AdoMet), into the methyl groups of Cho
(Hitz et al., 1981 ; Hanson and Rhodes; 1983 ; Cossins and Chen, 1997 ).
This allowed us to test the model developed for
33P-EA and 33P-MME
experiments by applying it to [14C]formate
labeling data. These experiments also enabled investigation of a
possible free base pathway to Cho, which cannot be detected by
33P labeling. No changes
were made to the model network except those specified below. Two points
were considered when designing and interpreting
[14C]formate-labeling experiments. First,
formate dehydrogenase activity in leaves can oxidize formate to
CO2 (Hanson and Nelsen, 1978 ; Hourton-Cabassa et
al., 1998 ). Relatively large [14C]formate doses
(41 or 127 nmol per three discs) were therefore used to compensate for
14CO2 losses (>95% within
1 h), and incubation was in darkness to avoid refixation by
photosynthesis of the 14CO2 released.
Second, label from formate can enter the -carbon of Ser (via
C1-folate pools and Ser hydroxymethyltransferase)
and then EA, so that 14C in methylated EA
derivatives may reside in the C2 moiety as well
as the methyl groups (Cossins and Chen, 1997 ). In our experiments, relatively little 14C entered the
C2 moiety, as judged from the low amount of label in P-EA ( 0.2 nCi g 1 fresh weight; data not
shown) and from the low initial rate of 14C
incorporation into Ptd-EA plus Ptd-DME ( 6% of that into Ptd-Cho; Fig. 3H). In barley leaves, labeling in the C2
moiety was also minimal ( 6% of the total labeling in GlyBet; Hanson
and Nelsen 1978 ). In modeling [14C]formate
data, we therefore assumed that supplying
[14C]formate resulted in the immediate labeling
of AdoMet and EA pools to different specific activities, initially 2.6 nCi nmol 1 for AdoMet and 0.11 nCi
nmol 1 for EA. Thereafter, the specific
activities of AdoMet and EA were further assumed to decline
exponentially:
where s0 is the
initial specific activity, s is specific activity at time
t, and c is a time constant. The time constants for AdoMet and EA were 0.02 min 1 and 0.003 min 1, respectively.
When [14C]formate (41 nmol per three discs) was
supplied, no labeling was detected in MME and DME ( 0.4 nCi
g 1 fresh weight; data not shown); a free base
route for Cho synthesis is therefore unlikely and so was not
incorporated into the model (Fig. 2). Tables II and III summarize the
fluxes and pool sizes required in the model to account for the observed
labeling patterns. These values agree closely (generally within ±30%)
with those required for the 33P-base
experiments, which attests to the model's robustness. Cho labeled only
slightly and progressively with time (Fig. 3G), consistent with it
originating from the turnover of Ptd-Cho, rather than from
dephosphorylation of P-Cho or direct N-methylation of EA (compare with Fig. 1). In the model, Cho was partitioned into a
metabolic pool (2 nmol g 1 fresh weight) and a
storage pool (70 nmol g 1 fresh weight) with
equal steady-state fluxes between the two pools (20 pmol
min 1 g 1 fresh weight).
As observed for 33P-labeling experiments,
14C labeling of all the P-bases reached a maximum
at 60 to 120 min and thereafter declined markedly (Fig. 3G). Also as
observed in 33P experiments, Ptd-MME labeling peaked early
and then fell slowly, while label continued to accumulate in
Ptd-Cho throughout the experiment (Fig. 3H).
Ptd-EA and Ptd-DME were not separated in this experiment, and therefore
the sum of label recovered in these two compounds is shown in Figure
3H, superimposed on the simulated time course for the sum of these two
metabolites. However, the model permitted estimates to be made of the
relative label contributions of Ptd-EA and Ptd-DME to the total
radioactivity in the Ptd-EA plus Pdt-DME fraction (Fig. 3I). This
analysis indicated that the failure of label to chase from the total
Ptd-EA plus Pdt-DME fraction (Fig. 3H) is due to progressive
accumulation of label in the EA moiety of Ptd-EA (Fig. 3I). The Ptd-EA
pool contained greater than 4 nCi g 1 fresh
weight by 600 min (Fig. 3I), while its precursor, P-EA, acquired very
little label (<0.2 nCi g 1 fresh weight; Fig.
3I). To account for this labeling pattern and also to maintain the size
of the Ptd-EA pool as growth occurs, it was necessary to invoke an
additional flux of EA moieties to Ptd-EA, aside from that through P-EA
(see "Discussion"). This additional flux would not have been
detected in the preceding 33P-EA-labeling
experiment as it concerns only the EA moiety of Ptd-EA. The initial
specific activity of the source of this flux was set to a low value
(0.11 nCi nmol 1), with a time constant
(c) of 0.003 min 1 and a flux into
the Ptd-EA pool of 40 pmol min 1
g 1 fresh weight.
A second labeling experiment was conducted with a higher dose of
[14C]formate (127 nmol per three discs). As
before, no label was detected in MME or DME. The experimental data for
the second [14C]formate experiment were
effectively modeled using assumptions very similar to those used for
the first, except that the initial specific activities of AdoMet and EA
were 2-fold higher (Tables II and III).
 |
DISCUSSION |
The radiotracer and computer modeling evidence presented here
indicate that the main route of Cho synthesis in tobacco is at the
P-base level, with a minor contribution at the Ptd-base level. The
first N-methylation appears to occur exclusively at the
P-base level (P-EA P-MME). Computer-assisted analyses of the
experimental data also show that choline synthesis occurs mainly
through Ptd-Cho turnover rather than through the dephosphorylation of
P-Cho. These points were not evident by graphical interpretation of the
radiotracer data alone. This illustrates the power of metabolic models,
in conjunction with information on chemical pool sizes, in providing a
self-consistent, quantitative account of fluxes within a complex
metabolic network. These conclusions are discussed in detail below,
together with further insights provided by modeling.
Cho Synthesis
Modeling indicated that regardless of whether
33P-EA, 33P-MME, or
[14C]formate was the source of label and
whether the experiments were in light or darkness, there was always at
least 2.5-fold more flux via the P-base N-methylation
pathway (K2, K3) than via the Ptd-base pathway (K13,
K14). This finding appears robust, since models
that assumed a greater flux via the Ptd-base pathway than via the
P-base pathway invariably failed to fit the experimental data (not
shown). Furthermore, the [14C]formate labeling
data indicate that Cho synthesis does not occur via a free base pathway
in tobacco leaves, which is consistent with the findings for leaves of
all other species so far tested (Rhodes and Hanson, 1993 ).
The labeling kinetics of Ptd-MME in 33P-EA
labeling experiments were accounted for by allowing the first
N-methylation to occur solely at the P-base level. Moreover,
modeling of the [14C]formate data showed that
allowing significant conversion of Ptd-EA to Ptd-MME would have
resulted in much more 14C accumulation in Ptd-MME
than was observed. This follows, because at early time points it was
necessary to assign a specific activity to AdoMet that was
approximately 20-fold greater than that of EA to account for labeling
patterns of network intermediates. Conversion of Ptd-EA to Ptd-MME
would therefore be accompanied by incorporation of a heavily labeled
methyl group into Ptd-MME. Thus, no support for a significant flux from
Ptd-EA Ptd-MME was found, and the labeling pattern of Ptd-MME in
[14C]formate experiments was accounted for by a
modest flux from P-MME of the same magnitude as that needed to account
for the 33P data. Our finding that the first
N-methylation in the network appears to occur exclusively at
the P-base level supports the hypothesis of Datko and Mudd (1988a ,
1988b ).
Modeling of Cho synthesis required partitioning of P-EA and P-MME
between metabolically active and inactive (storage) pools. The inactive
pools may be sequestered in a compartment such as the vacuole. However,
kinetically distinct metabolically active and inactive pools might also
arise if there is metabolic channeling of the flux P-EA P-MME P-DME P-Cho via an enzyme complex. It is therefore noteworthy that
P-EA N-methyltransferase has been proposed to catalyze not
only the conversion of P-EA to P-MME but also the two subsequent
methylation steps (Smith et al., 2000 ).
The Origin of EA
There is good evidence that EA moieties are derived from the
decarboxylation of Ser, but it is not clear whether the reaction takes
place at the level of free Ser, P-Ser, or Ptd-Ser (Rhodes and Hanson,
1993 ). It is therefore interesting that modeling of the
[14C]formate data indicated that the EA moiety
of Ptd-EA came from a P-EA pool of low specific activity and from
another source, also of low specific activity. This other source could
be Ptd-Ser decarboxylation or a base exchange reaction between free EA
and phospholipids (Kinney and Moore, 1987 ; Mudd and Datko, 1989c ). Consistent with these possibilities, preliminary analyses showed that
14C was present in products with the
chromatographic properties of Ptd-Ser and free EA. While these data do
not show how EA moieties are derived from Ser, they do suggest that the
pathway(s) include phospholipid and soluble intermediates, and, because
their specific activities are low, that some of the intermediate pools
are large.
Ptd-Cho Catabolism
Modeling indicated that free Cho is generated in tobacco leaves
mainly through Ptd-Cho catabolism. This resembles the situation in
barley (Hitz et al., 1981 ) but differs from that in spinach, where the
main source of free Cho is dephosphorylation of P-Cho (Rhodes and
Hanson, 1993 ). Modeling further suggested that tobacco leaves
catabolize Ptd-Cho to P-Cho and to free Cho, i.e. via both phospholipase C and phospholipase D reactions. A high flux from Ptd-Cho
to P-Cho has also been observed in Suc-starved sycamore cells
undergoing autophagy (Aubert et al., 1996 ). Phospholipase C-mediated phospholipid degradation may therefore be important both in
normal phospholipid turnover and during net phospholipid breakdown.
Metabolism of Cytoplasmic Phosphate
Modeling of the 33P-base labeling data
indicated that considerably more dilution of Pi label was occurring
than could be accounted for by a cytoplasmic free Pi pool of normal
size ( 1,000 nmol g 1 fresh weight), and it was
necessary to invoke a pool of 10,000 nmol g 1
fresh weight. In other plant systems, the cytoplasmic Pi pool is in
rapid exchange with the large pool of phosphoesters that include sugar
phosphates, UDP-Glc, and adenylates (Roscher et al., 1998 ). This
suggests an explanation for the large Pi pools seen in our model: that
cytoplasmic free Pi equilibrated so rapidly with organic phosphates
that the cytoplasmic Pi pool in effect included the phosphate esters.
Implications for Metabolic Engineering
The results described here have obvious implications for
engineering Cho synthesis to meet the demand for GlyBet production (Nuccio et al., 1998 ). Because the first N-methylation
occurs at the P-base level, a rational target for increasing flux to Cho moieties is overexpression of P-EA N-methyltransferase.
Our models do not address the regulatory architecture of the network (Stephanopoulos and Vallino, 1991 ). A key question to be resolved is
whether P-Cho exerts feedback regulation on P-EA
N-methyltransferase in tobacco in vivo tracer studies in
sugar beet (Hanson and Rhodes, 1983 ) and in vitro studies in
Lemna suggest this possibility (Mudd and Datko, 1989a ).
Perhaps equally important to future attempts at engineering Cho supply
by manipulating P-EA N-methyltransferase activity and/or its
regulatory properties will be whether the potential supply of P-EA is
adequate to support greatly increased flux from P-EA to P-Cho. Our
modeling data suggest that the metabolically active P-EA pool is small
and sequestered from the bulk P-EA of the tissue.
 |
MATERIALS AND METHODS |
Plant Material
Tobacco (N. tabacum L. cv Wisconsin 38) plants
were grown in a light soil mix (one plant per 16-cm pot) in a
greenhouse in natural daylight; the minimum temperature was 18°C.
Irrigation was with 0.5× Hoagland nutrient solution. Half-expanded
leaves (blade length about 15 cm) for radiotracer experiments were
taken between February and May 1998 from mature plants that had not yet
started to flower. The leaf expansion rate was estimated by planimetry.
Radiochemicals
[14C]Formic acid (Na salt in 70% [v/v]
ethanol; 48.5 µCi µmol 1) and
[ -33P]ATP (2 Ci µmol 1) were from NEN
Life Science Products (Boston). Before use, the [14C]formate was freed of ethanol by evaporation under
reduced pressure, and redissolved in water. 33P-EA and
33P-MME (approximately 1 µCi nmol 1) were
synthesized from EA and MME, respectively, using yeast Cho kinase
and [ -33P]ATP. Reaction mixtures (100 µL) contained
0.1 M Tris-HCl, pH 8.5, 1 mM
MgCl2, 1 mM ATP, approximately 100 µCi of [ -33P]ATP, 2 mM EA-HCl
or MME-HCl, and 0.1 unit of Cho kinase. After incubation for 18 h
at 25°C, residual [33P]ATP was hydrolyzed by
adding 0.5 mL of 1.2 M HCl and heating at 100°C for
1 h (P-EA and P-MME are not hydrolyzed by these conditions), and
the reaction mixture was lyophilized to remove HCl. The dried mixture
was redissolved in 2 mL of water and applied to a 2-mL column of
BioRex-70 (H+) followed by 1-mL columns of AG-50
(H+) and AG-1 (OH ),
arranged in series. After washing the column series with 35 mL of
water, 33P-EA and 33P-MME
(plus 33Pi from unreacted
[33P]ATP) were eluted from the AG-1 column with
5 mL of 2.5 N HCl, and the eluate was lyophilized. The
33P-bases were separated from Pi by thin-layer
electrophoresis on cellulose plates in 1.5 N formic acid
(1.8 kV for 20 min at 3°C). 33P-EA was further
purified by thin-layer chromatography (TLC) on silica gel G plates
developed with methanol:acetone:conc. HCl (90:10:4, v/v; TLC system A);
this removed a minor contaminant that appeared to be a phosphoester of
Tris. Radiochemical yields were 56% to 58%, and radiochemical
purities were >95%. For feeding to leaf discs, the purified
33P-bases were dissolved at a concentration of
0.5 µCi µL 1 (approximately 0.5 nmol
µL 1) in 5 mM potassium phosphate
buffer, final pH approximately 6.0, giving a Pi/P-base ratio of 10. 33Pi (1 µCi nmol 1) was
prepared by hydrolysis of [ -33P]ATP followed
by ion-exchange purification as above.
Leaf Disc Experiments
Discs (11 mm in diameter) were cut from the mid-blade region of
a single, half-expanded leaf for each experiment. Eight shallow radial
incisions were made on the abaxial surface of each disc using a sharp
scalpel and thereby minimizing tissue damage. Samples were batches of
three discs (approximately 50 mg fresh weight). Labeled solutions were
applied (2 µL per disc) to the center of the abaxial surface (at the
junction of the cuts), and the discs were then incubated, abaxial
surface uppermost, on moist filter paper circles in Petri dishes.
Incubation was at 25°C ± 2°C in darkness for
[14C]formate experiments and in fluorescent light (photon
flux density, 150 µE m 2 s 1) for
33P-base experiments. Discs that had been fed
33P-bases were in some cases washed after incubation to
analyze label remaining in the apoplast. Washing was for 15 min, with rotary shaking, in 5 mL of 5 mM potassium phosphate (pH
7.5) containing 0.1 mM P-EA as carrier.
Analysis of Labeled Metabolites
Procedures were essentially as described previously (Hitz et
al., 1981 ; Hanson and Rhodes, 1983 ; Nuccio et al., 1998 ). Discs were
extracted by a methanol-chloroform-water procedure after boiling in
isopropanol to denature phospholipases. Lipids were separated by TLC on
silica gel 60 plates developed first with acetone:petroleum ether (3:1;
v/v), then with chloroform:methanol:acetic acid:water (85:15:10:3.5,
v/v). Because Ptd-EA and Ptd-DME comigrate in this system, when
necessary, they were resolved by rechromatography on silica gel 60 using chloroform:methanol:concentrated NH4OH (65:25:5,
v/v); the Ptd-MME zone was rechromatographed likewise for some samples.
Phospholipid zones were located by autoradiography and iodine staining,
and identified by reference to standards. The identity of Ptd-Cho was
confirmed by conversion to phosphatidic acid upon treatment with
phospholipase D (Kates, 1972 ). Radioactivity was quantified by
scintillation counting of TLC zones. Water-soluble compounds were
fractionated by ion-exchange followed by TLC. In 33P
experiments, the samples were applied to a 1-mL column of AG-1 (OH ); 8 mL of 1 N formic acid was used to
elute P-bases, followed by 5 mL of 2.5 N HCl to elute Pi.
After lyophilization, P-bases were chromatographed twice in TLC system
A. In 14C experiments, 1-mL columns of AG-1
(OH ) and BioRex-70 (H+) were arranged in
series; free bases were eluted from BioRex-70 with 5 mL of 1 N HCl, and P-bases (plus [14C]formate) from
AG-1 with 5 mL of 2.5 N HCl. The eluates were lyophilized;
14C loss during lyophilization of AG-1 eluates was used as
a measure of their [14C]formate content. Phospho bases
were hydrolyzed to free bases; both this hydrolyzate and the free bases
eluted from BioRex-70 were analyzed using TLC system A. Data were
corrected for recovery using samples spiked with 33P-EA,
33P-MME, [14C]P-Cho, or
[14C]Cho. Recoveries of the P-bases were similar, and
averages of these values were applied to 33P-DME data; the
value for [14C]Cho was applied to data for all free
bases. When necessary, data were corrected for spillover of
radioactivity from adjacent TLC zones. 33P-labeling data
were corrected for radioactive decay using a half-life of 25.4 d.
Measurement of Ptd-Base Pool Sizes
The organic phase from methanol-chloroform-water extracts of
0.5 g fresh weight of leaf tissue was dried in a N2
stream and treated with 0.5 mL of 4 N HCl at l00°C for l5
to 18 h to hydrolyze Ptd-bases. Cho was then determined by the
method of Nie et al. (1993) as modified by Nuccio et al. (1998) , and EA
was determined by the TLC assay method given by Nuccio et al. (1998) .
Data were corrected for the recovery of Pdt-base standards added to
samples before extraction.
Computer Modeling of 33P- and 14C-Labeling
Data
The computer model used was similar to the metabolic flux
analysis model described by Kocsis et al. (1998) . Programs were written
in Microsoft Visual Basic. Key model parameters are the initial pool
sizes and their specific activities, and the flux rates connecting the
various pools.
For all metabolites except the apoplastic and metabolic pools of the
supplied precursors P-EA and P-MME and the Pi pool, the rate of change
of the concentration of metabolite M (nmol
g 1 fresh weight) is taken as:
where Ki (pmol min 1
g 1 fresh weight) is the fixed rate of production of
M from its various precursor pools and the
Kj (pmol min 1
g 1 fresh weight) is the fixed rate of conversion of
M to its various fates (see "Results" for the
justification for using fixed rates for most fluxes in the model).
The variable rates A, B, C, and A', B', C' in Figure
2 describe the uptake and apoplastic
hydrolysis of exogenously added 33P-EA and
33P-MME, respectively. Exogenous precursor is taken up into
the apoplast at a variable rate (A or A') that is proportional to the
precursor pool size, so that as the pool of precursor declines, so does
uptake rate. The precursor is taken up into an apoplastic pool of
initial size 0 nmol g 1 fresh weight (and initial specific
activity 0 nCi nmol 1). The apoplastic pool has two
fates hydrolysis to free base and 33Pi at a variable rate
(B or B'), or uptake into a metabolic symplastic pool at a variable
rate (C or C'). Rates B, B', C, and C' are proportional to the
apoplastic pool size.
During short time intervals (0.4- or 0.6-min iterations),
material of the current specific activity is drawn from one pool to
another at specified rates, new specific activities and pool sizes are
computed, and total radioactivity in each pool is plotted (superimposed
on observed data) as a function of time. Flux rates and pool sizes are
progressively adjusted (within limits determined by experimentally
observed or literature values) until a close match between observed and
simulated radioactivity is obtained, as judged graphically or by
computing absolute deviations between observed and simulated values.
Further details on the development of the type of metabolic models
used here are given at
http://www.hort.purdue.edu/cfpesp/models/models.htm.
 |
FOOTNOTES |
Received November 23, 1999; accepted February 3, 2000.
1
This work was supported in part by the U.S.
Department of Agriculture National Research Initiative Competitive
Grants Program (grant no. 98-35100-6149 to A.D.H.), by the National
Science Foundation (grant no. IBN-9813999 to A.D.H.), by the
Department of Energy (grant no. DE-FG02-99ER20344 to D.R.), by a
National Institute of Science and Technology grant (to Y.S.-H.), by an
endowment from the C.V. Griffin, Sr. Foundation, and by the Florida
Agricultural Experiment Station. This paper is journal series no.
R-07256.
*
Corresponding author; e-mail adha{at}gnv.ifas.ufl.edu; fax
352-392-6479.
 |
LITERATURE CITED |
-
Aubert S, Gout E, Bligny R, Marty-Mazars D, Barrieu F, Alabouvette J, Marty F, Douce R
(1996)
Ultrastructural and biochemical characterization of autophagy in higher plant cells subjected to carbon deprivation: control by the supply of mitochondria with respiratory substrates.
J Cell Biol
133: 1251-1263
[Abstract/Free Full Text]
-
Bailey JE
(1998)
Mathematical modeling and analysis in biochemical engineering: past accomplishments and future opportunities.
Biotechnol Prog
14: 8-20
[CrossRef][Medline]
-
Bligny R, Gardestrom P, Roby C, Douce R
(1990)
31P-NMR studies of spinach leaves and their chloroplasts.
J Biol Chem
265: 1319-1326
[Abstract/Free Full Text]
-
Cossins EA, Chen L
(1997)
Folates and one-carbon metabolism in plants and fungi.
Phytochemistry
45: 437-452
[CrossRef][Web of Science][Medline]
-
Datko AH, Mudd SH
(1988a)
Phosphatidylcholine synthesis: differing patterns in soybean and carrot.
Plant Physiol
88: 854-861
[Abstract/Free Full Text]
-
Datko AH, Mudd SH
(1988b)
Enzymes of phosphatidylcholine synthesis in Lemna, soybean, and carrot.
Plant Physiol
88: 1338-1348
[Abstract/Free Full Text]
-
Gorham J
(1995)
Betaines in higher plants: biosynthesis and role in stress metabolism.
In
RM Wallsgrove, ed, Amino Acids and Their Derivatives in Higher Plants. Cambridge University Press, Cambridge, pp 173-203
-
Gout E, Bligny R, Roby C, Douce R
(1990)
Transport of phosphocholine in higher plant cells: 31P nuclear magnetic resonance studies.
Proc Natl Acad Sci USA
87: 4280-4283
[Abstract/Free Full Text]
-
Hanson AD, Nelsen CE
(1978)
Betaine accumulation and [14C]formate metabolism in water-stressed barley leaves.
Plant Physiol
62: 305-312
[Abstract/Free Full Text]
-
Hanson AD, Rhodes D
(1983)
14C-Tracer evidence for synthesis of Cho and betaine via phosphoryl base intermediates in salinized sugarbeet leaves.
Plant Physiol
71: 692-700
[Abstract/Free Full Text]
-
Hayashi H, Alia, Mustardy L, Deshnium P, Ida M, Murata N
(1997)
Transformation of Arabidopsis thaliana with the codA gene for Cho oxidase: accumulation of glycinebetaine and enhanced tolerance to salt and cold stress.
Plant J
12: 133-142
[CrossRef][Web of Science][Medline]
-
Hitz WD, Rhodes D, Hanson AD
(1981)
Radiotracer evidence implicating phosphoryl and phosphatidyl bases as intermediates in betaine synthesis by water-stressed barley leaves.
Plant Physiol
68: 814-812
[Abstract/Free Full Text]
-
Hourton-Cabassa C, Ambard-Bretteville F, Moreau F, Davy de Virville J, Remy R, Colas des Francs-Small C
(1998)
Stress induction of mitochondrial formate dehydrogenase in potato leaves.
Plant Physiol
116: 627-635
[Abstract/Free Full Text]
-
Huang J, Hirji R, Adam L, Rozwadowski KI, Hammerlindl J, Keller WA, Selvaraj G
(2000)
Genetic engineering of glycinebetaine production toward enhancing stress tolerance in plants: metabolic limitations.
Plant Physiol
122: 747-756
[Abstract/Free Full Text]
-
Kates M
(1972)
Techniques of Lipidology. North Holland Publishing, Amsterdam
-
Kinney AJ, Moore TS
(1987)
Phosphatidylcholine synthesis in castor bean endosperm: I. Metabolism of L-serine.
Plant Physiol
84: 78-81
[Abstract/Free Full Text]
-
Kocsis MG, Nolte KD, Rhodes D, Shen T-L, Gage DA, Hanson AD
(1998)
Dimethylsulfoniopropionate biosynthesis in Spartina alterniflora.
Plant Physiol
117: 273-281
[Abstract/Free Full Text]
-
Mudd SH, Datko AH
(1989a)
Synthesis of methylated EA moieties: regulation by Cho in Lemna.
Plant Physiol
90: 296-305
[Abstract/Free Full Text]
-
Mudd SH, Datko AH
(1989b)
Synthesis of methylated EA moieties: regulation by Cho in soybean and carrot.
Plant Physiol
90: 306-310
[Abstract/Free Full Text]
-
Mudd SH, Datko AH
(1989c)
Synthesis of EA and its regulation in Lemna paucicostata.
Plant Physiol
91: 587-597
[Abstract/Free Full Text]
-
Nie Y, He JL, Hsia SL
(1993)
A micro enzymatic method for determination of Cho-containing phospholipids in serum and high density lipoproteins.
Lipids
28: 949-951
[Web of Science][Medline]
-
Nuccio ML, Rhodes D, McNeil SD, Hanson AD
(1999)
Metabolic engineering of plants for osmotic stress resistance.
Curr Opin Plant Biol
2: 128-134
[CrossRef][Web of Science][Medline]
-
Nuccio ML, Russell BL, Nolte KD, Rathinasabapathi B, Gage DA, Hanson AD
(1998)
The endogenous Cho supply limits glycine betaine synthesis in transgenic tobacco expressing Cho monooxygenase.
Plant J
16: 487-496
[CrossRef][Web of Science][Medline]
-
Prud'homme M-P, Moore TS
(1992a)
Phosphatidylcholine synthesis in castor bean endosperm: free bases as intermediates.
Plant Physiol
100: 1527-1535
[Abstract/Free Full Text]
-
Prud'homme M-P, Moore TS
(1992b)
Phosphatidylcholine synthesis in castor bean endosperm: the occurrence of an S-adenosyl-L-methionine:ethanolamine N-methyltransferase.
Plant Physiol
100: 1536-1540
[Abstract/Free Full Text]
-
Rhodes D, Hanson AD
(1993)
Quaternary ammonium and tertiary sulfonium compounds in higher plants.
Annu Rev Plant Physiol Plant Mol Biol
44: 357-384
[CrossRef][Web of Science]
-
Roscher A, Emsley L, Raymond P, Roby C
(1998)
Unidirectional steady state rates of central metabolism enzymes measured simultaneously in a living plant tissue.
J Biol Chem
273: 25053-25061
[Abstract/Free Full Text]
-
Smith DD, Summers PS, Weretilnyk EA
(2000)
Phosphocholine synthesis in spinach: characterization of phosphoethanolamine N-methyltransferase.
Physiol Plant
108: 286-294
[CrossRef]
-
Stephanopoulos G, Vallino JJ
(1991)
Network rigidity and metabolic engineering in metabolite overproduction.
Science
252: 1675-1681
[Abstract/Free Full Text]
-
Summers PS, Weretilnyk EA
(1993)
Choline synthesis in spinach in relation to salt stress.
Plant Physiol
103: 1269-1276
[Abstract]
-
Weretilnyk EA, Smith DD, Wilch GA, Summers PS
(1995)
Enzymes of Cho synthesis in spinach: response of P-base N-methytransferase activities to light and salinity.
Plant Physiol
109: 1085-1091
[Abstract]
© 2000 American Society of Plant Physiologists
This article has been cited by other articles:

|
 |

|
 |
 
R. Jost, O. Berkowitz, J. Shaw, and J. Masle
Biochemical Characterization of Two Wheat Phosphoethanolamine N-Methyltransferase Isoforms with Different Sensitivities to Inhibition by Phosphatidic Acid
J. Biol. Chem.,
November 13, 2009;
284(46):
31962 - 31971.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. R. Keogh, P. D. Courtney, A. J. Kinney, and R. E. Dewey
Functional Characterization of Phospholipid N-Methyltransferases from Arabidopsis and Soybean
J. Biol. Chem.,
June 5, 2009;
284(23):
15439 - 15447.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C. Chen and G. A. Beattie
Pseudomonas syringae BetT Is a Low-Affinity Choline Transporter That Is Responsible for Superior Osmoprotection by Choline over Glycine Betaine
J. Bacteriol.,
April 15, 2008;
190(8):
2717 - 2725.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. L. Jeong, H. Jiang, H.-S. Chen, C.-J. Tsai, and S. A. Harding
Metabolic Profiling of the Sink-to-Source Transition in Developing Leaves of Quaking Aspen
Plant Physiology,
October 1, 2004;
136(2):
3364 - 3375.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. Cruz-Ramirez, J. Lopez-Bucio, G. Ramirez-Pimentel, A. Zurita-Silva, L. Sanchez-Calderon, E. Ramirez-Chavez, E. Gonzalez-Ortega, and L. Herrera-Estrella
The xipotl Mutant of Arabidopsis Reveals a Critical Role for Phospholipid Metabolism in Root System Development and Epidermal Cell Integrity
PLANT CELL,
August 1, 2004;
16(8):
2020 - 2034.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. Boatright, F. Negre, X. Chen, C. M. Kish, B. Wood, G. Peel, I. Orlova, D. Gang, D. Rhodes, and N. Dudareva
Understanding in Vivo Benzenoid Metabolism in Petunia Petal Tissue
Plant Physiology,
August 1, 2004;
135(4):
1993 - 2011.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
Z. Mou, X. Wang, Z. Fu, Y. Dai, C. Han, J. Ouyang, F. Bao, Y. Hu, and J. Li
Silencing of Phosphoethanolamine N-Methyltransferase Results in Temperature-Sensitive Male Sterility and Salt Hypersensitivity in Arabidopsis
PLANT CELL,
September 1, 2002;
14(9):
2031 - 2043.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. C. Cushman
Osmoregulation in Plants: Implications for Agriculture
Integr. Comp. Biol.,
August 1, 2001;
41(4):
758 - 769.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. D. McNeil, M. L. Nuccio, M. J. Ziemak, and A. D. Hanson
Enhanced synthesis of choline and glycine betaine in transgenic tobacco plants that overexpress phosphoethanolamine N-methyltransferase
PNAS,
July 24, 2001;
(2001)
171228998.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C. P. Bolognese and P. McGraw
The Isolation and Characterization in Yeast of a Gene for Arabidopsis S-Adenosylmethionine:Phospho-Ethanolamine N-Methyltransferase
Plant Physiology,
December 1, 2000;
124(4):
1800 - 1813.
[Abstract]
[Full Text]
|
 |
|

|
 |

|
 |
 
S. D. McNeil, D. Rhodes, B. L. Russell, M. L. Nuccio, Y. Shachar-Hill, and A. D. Hanson
Metabolic Modeling Identifies Key Constraints on an Engineered Glycine Betaine Synthesis Pathway in Tobacco
Plant Physiology,
September 1, 2000;
124(1):
153 - 162.
[Abstract]
[Full Text]
|
 |
|

|
 |

|
 |
 
D. Rontein, I. Nishida, G. Tashiro, K. Yoshioka, W.-I Wu, D. R. Voelker, G. Basset, and A. D. Hanson
Plants Synthesize Ethanolamine by Direct Decarboxylation of Serine Using a Pyridoxal Phosphate Enzyme
J. Biol. Chem.,
September 14, 2001;
276(38):
35523 - 35529.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. D. McNeil, M. L. Nuccio, M. J. Ziemak, and A. D. Hanson
Enhanced synthesis of choline and glycine betaine in transgenic tobacco plants that overexpress phosphoethanolamine N-methyltransferase
PNAS,
August 14, 2001;
98(17):
10001 - 10005.
[Abstract]
[Full Text]
[PDF]
|
 |
|
|
|