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Journal of Bacteriology, December 2003, p . 7053-7067, Vol . 185, No . 24 Responses of the Central Metabolism in Escherichia coli to Phosphoglucose Isomerase and Glucose-6-Phosphate Dehydrogenase Knockouts
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| ABSTRACT |
|---|
The
responses of Escherichia coli central carbon metabolism to
knockout mutations in phosphoglucose isomerase and glucose-6-phosphate
(G6P) dehydrogenase genes were investigated by using glucose- and
ammonia-limited chemostats . The metabolic network structures and
intracellular carbon fluxes in the wild type and in the knockout
mutants were characterized by using the complementary methods of flux
ratio analysis and metabolic flux analysis based on
[U-13C]glucose labeling and
two-dimensional nuclear magnetic resonance (NMR) spectroscopy of
cellular amino acids, glycerol, and glucose . Disruption of
phosphoglucose isomerase resulted in use of the pentose phosphate
pathway as the primary route of glucose catabolism, while flux
rerouting via the Embden-Meyerhof-Parnas pathway and the nonoxidative
branch of the pentose phosphate pathway compensated for the G6P
dehydrogenase deficiency . Furthermore, additional, unexpected flux
responses to the knockout mutations were observed . Most prominently,
the glyoxylate shunt was found to be active in phosphoglucose
isomerase-deficient E . coli . The Entner-Doudoroff pathway also
contributed to a minor fraction of the glucose catabolism in this
mutant strain . Moreover, although knockout of G6P dehydrogenase had no
significant influence on the central metabolism under glucose-limited
conditions, this mutation resulted in extensive overflow metabolism and
extremely low tricarboxylic acid cycle fluxes under ammonia limitation
conditions .
| INTRODUCTION |
|---|
The central carbon pathways constitute the backbone of cell metabolism
by providing energy, building blocks, and reducing power for biomass
synthesis . Due to the extensive redundancy and the presence of
isozymes, most single-gene knockout mutations in central metabolism do
not block cell growth on glucose
(13,
18) . To reveal
gene-phenotype relationships, it is important to gain insight into the
complex responses of the metabolic network in its entirety to these
mutations . The most important properties of biochemical networks are
the per se nonmeasurable in vivo reaction rates, which may be estimated
by metabolic flux analysis
(41) .
The most common approach is based on flux balancing of extracellular uptake and secretion rates within a stoichiometric reaction model (26, 45) . This approach usually requires assumptions about redox or energy balances, and the validity of these assumptions strongly affects the flux estimates . To increase the reliability and resolution of such flux balance analyses, additional information may be obtained from 13C labeling experiments (43, 48) . In this approach, the isotope labeling patterns of intracellular metabolites are analyzed by either nuclear magnetic resonance (NMR) or mass spectrometry . The data are then used for identification of the metabolic network structure or for quantification of the intracellular carbon fluxes .
Direct analytical interpretation of 13C labeling patterns may provide direct evidence for a particular flux or reaction (24, 34) . Recently, a more general method of flux ratio analysis has been developed based on biosynthetically directed fractional 13C labeling by cofeeding of unlabeled glucose and [U-13C]glucose (30, 44) . The resulting 13C labeling patterns of metabolic intermediates are analyzed by two-dimensional NMR spectroscopy of the anabolic products (e.g., amino acids) synthesized from these intermediates . The observed 13C-13C scalar coupling multiplet intensities are then transformed into the relative abundance of intact carbon fragments originating from a single glucose source molecule . Since alternative pathways leading to the same metabolites yield different intact fragments, flux ratio analysis enables identification of active pathways in a bioreaction network and the ratios of some intracellular fluxes .
The 13C labeling data in combination with biomass composition and extracellular flux data may also be used to quantify the intracellular fluxes in a metabolic network (7, 35, 39) . Based on the balances of metabolites and isotopomers, a mathematical framework relating the metabolic fluxes to the 13C labeling data is constructed . The intracellular flux distribution is then estimated by finding a best fit for all the available data in an iterative fitting procedure . Since the flux distribution represents the mathematically best estimate for the given biochemical reaction network, the validity of the network itself may affect the flux result . To avoid this, the bioreaction network identified by flux ratio analysis may be used for flux quantification . Consequently, the flux ratio analysis and metabolic flux analysis methods are highly complementary . Flux ratio analysis provides insight into which enzymes are active and which enzymes are not active and if there is an unknown reaction taking place in cells . This method can identify the metabolic network structure for metabolic flux analysis . The intracellular flux distribution estimated by metabolic flux analysis provides a holistic view of cellular metabolism . The result can be used for quantitative comparison of cells grown under different environmental conditions or for comparison of different mutant strains (9, 21, 37, 47) . Moreover, as these two methods are very different, flux ratio analysis may provide an independent verification of the flux estimates (14) .
In this study, we used a combination of flux ratio analysis and metabolic flux analysis to quantitatively investigate how Escherichia coli metabolism responds to knockout of phosphoglucose isomerase or glucose-6-phosphate (G6P) dehydrogenase in glucose- and ammonia-limited chemostat cultures . Phosphoglucose isomerase and G6P dehydrogenase are located at the first juncture of the two important routes of central carbon metabolism, the Embden-Meyerhof-Parnas (EMP) and pentose phosphate (PP) pathways (Fig. 1) . Estimation of the relative contributions of the EMP and PP pathways to glucose catabolic flux has received considerable attention (4, 12) due to the variability with environmental conditions and the relevance for NADPH metabolism . Glucose limitation and ammonia limitation represent bioenergetically very different regimens that have profound effects on cellular physiology and carbon fluxes, including the PP pathway flux (10, 33) . The PP pathway is used for production of NADPH, which is mainly used in anabolic reactions and may also play an important role in the antioxidant system (3) .
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| MATERIALS AND METHODS |
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Strains, media, and growth conditions.
The strains
used throughout this study were E . coli wild-type strain W3110
[F-
-
IN(rrnD-rrnE)1 rph-1], K-12
strain BW25113 (F-
-
rph-1
araBADAH33
lacIq
lacZWJ16
rrnBT14
rhaBADLD78
hsdR514) (6),
phosphoglucose isomerase knockout mutant JWK3985, and G6P dehydrogenase
knockout mutant JWK1841 . Mutant strains JWK3985 and JWK1841 were
constructed by deleting the pgi and zwf genes from
BW25113, respectively, by using an established protocol
(6) . Briefly, primers for
deletion (Table
1) were used to amplify the kanamycin resistance gene from pKD13
(6) . Strains harboring
pKD46 (6) were grown in
SOB medium containing 50 mg of ampicillin per liter and 1 mM
L-arabinose and were transformed with the PCR products by
using an electroporator (Bio-Rad, Hercules, Calif.).
Kanamycin-resistant strains were selected on agar plates, and the
mutations were confirmed by PCR performed with confirmation primers
(Table 1) .
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All
E . coli strains were precultured in a minimal medium that
contained (per liter) 5.0 g of glucose, 1.0 g of
NH4Cl, 2.7 g of
(NH4)2SO4, 6.8 g of
Na2HPO4, 3.0 g of
KH2PO4, 0.6 g of NaCl, 0.2 g
of MgSO4 · 7H2O, 1.0 µg of
thiamine HCl, 2.0 µl of polypropylene glycol 2000 as an
antifoaming agent, and 10 ml of a trace element solution containing
(per liter) 0.55 g of CaCl2 ·
2H2O, 1.67 g of FeCl3 ·
6H2O, 0.10 g of MnCl4 ·
4H2O, 0.17 g of ZnCl2, 0.04 g
of CuCl2 · 2H2O, 0.06 g of
CoCl2 · 6H2O, and 0.06 g of
Na2MoO4 · 4H2O . Exponentially
growing cells were harvested and used for reactor inoculation . The
glucose-limited chemostat medium had the same composition as the
preculture medium . For ammonia-limited chemostats, the concentrations
of the nitrogen sources, NH4Cl and
(NH4)2SO4, were reduced to 0.20 and
0.24 g/liter, respectively, and all other components were kept at the
same concentrations as those used in the glucose-limited experiments.
The chemostat media were sterilized by passage through a filter with a
pore size of 0.2 µm, and the trace element solution was added
after filtration .
Chemostat cultivation was performed at 37°C in a 2-liter bioreactor (BMJ-02PI; Able Co.,Tokyo, Japan) with a working volume of 1 liter . The culture medium was continuously fed to the bioreactor at a dilution rate of 0.1 h-1, and the working volume was kept constant by withdrawing culture broth through a continuously operating pump . The pH of the culture was maintained at 7.0 by addition of 2.0 M NaOH. Agitation at 450 rpm and a constant airflow of 1.0 liter/min ensured that the dissolved oxygen concentration was above 60% saturation . The oxygen and carbon dioxide concentrations in the bioreactor effluent gas were monitored with an exhaust gas analyzer (Off-Gas Jr . DEX-2562; Able Co.) .
Labeling experiments were started after the cultures reached the steady state; we assumed that the steady state was reached when the optical density at 600 nm and the exhaust gas analysis results remained constant for at least three volume changes . The unlabeled feed was replaced by an identical medium containing 4.5 g of unlabeled glucose per liter and 0.5 g of [U-13C]glucose (>98% 13C; Isotech, Miamisburg, Ohio) per liter . Biomass samples for NMR analysis were taken after two volume changes, so that 86% of the biomass was 13C labeled, which was calculated based on the first-order washout kinetics .
Analytical methods. Cell growth during cultivation was monitored by measuring the optical density at 600 nm. Cell dry weight was determined from cell pellets of 100-ml culture aliquots that were centrifuged for 10 min at 4°C and 8,000 x g, washed once with distilled water, and dried at 85°C until the weight was constant .
For extracellular
metabolite analysis, culture samples were centrifuged for 5 min at
4°C and 20,000 x g to remove the cells.
Glucose, ammonia, and ethanol concentrations were determined with
enzymatic test kits (Roche Molecular Biochemicals, Mannheim, Germany).
Organic acids were detected by high-pressure liquid chromatography with
a model 2695 instrument (Waters, Milford, Mass.) equipped with an
Inertsil ODS-3V column (4.6 by 250 mm; GL Sciences Inc., Tokyo, Japan)
and a Waters 2487 UV detector . A mobile phase consisting of 50 mM
NH4H2PO4 at a flow rate of 1.0 ml/min
was used, and the column was operated at 40°C . Acetate,
formate, pyruvate, D-lactate,
-ketoglutarate,
succinate, and fumarate concentrations were also determined
enzymatically with Roche test kits or by using standard protocols
(49) . The extracellular
polysaccharide concentration was determined by the phenol-sulfuric acid
method by using glucose for calibration
(23) . The relative
contributions of protein, RNA, and glycogen to the macromolecular
biomass composition were determined as described previously
(51) .
In vitro enzyme activities were determined in crude cell extracts from 10-ml culture aliquots that were centrifuged at 4°C and 8,000 x g for 10 min . The cell pellets were then washed and resuspended in disruption buffer, which contained 200 mM Tris-HCl (pH 7.6), 4 mM MgCl2, and 2 mM dithiothreitol . Cell disruption was achieved by sonication with an ultrasonic disruptor (UD-201; Tomy, Tokyo, Japan), and the cell debris was removed by centrifugation for 15 min at 4°C and 20,000 x g . The supernatant was used for determination of enzyme activities and the protein concentration (29). Phosphoglucose isomerase activity was measured by monitoring the increase in the NADPH concentration by using G6P dehydrogenase as a coupling enzyme (19) . The activities of NADP+-dependent G6P dehydrogenase (11), 6-phosphogluconate dehydrogenase (19), and isocitrate dehydrogenase (20) were determined by monitoring the increase in the amount of NADPH . The change in the amount of NADPH was monitored fluorimetrically by using an excitation wavelength of 355, an emission wavelength of 460 nm, and a dual-scanning microplate spectrofluorometer (SPECTRAmax GEMINI XS; Molecular Devices Co., Sunnyvale, Calif.) . Isocitrate lyase activity was assayed by the phenylhydrazine method (31) .
NMR spectroscopy. At the end of the labeling experiment, 400-ml portions of culture samples were harvested by centrifugation for 10 min at 4°C and 8,000 x g . The cell pellets were washed three times with 20 mM Tris-HCl (pH 7.6) and resuspended in 24 ml of 6 M HCl . Each mixture was then separated into two fractions . The first fraction was 6 ml for the glucose-limited chemostat and 12 ml for the ammonia-limited chemostat, and the second fraction was 18 ml for the glucose-limited chemostat and 12 ml for the ammonia-limited chemostat . The first fraction was hydrolyzed for 12 h at 105°C and used to determine the labeling patterns of amino acids and glycerol . In the resulting hydrolysate there were 16 proteinogenic amino acids, since cysteine and tryptophan were oxidized and asparagine and glutamine were deaminated during the acid hydrolysis . The second fraction was hydrolyzed for only 30 min at 105°C and used to determine the labeling state of glucose . The hydrolysates from both fractions were filtered through a 0.2-µm-pore-size filter and evaporated to dryness . The dried material was then dissolved in 650 µl of 20 mM 2HCl in 2H2O, filtered, and used for the NMR measurements .
The labeling patterns of amino acids,
glycerol, and glucose in the hydrolysates were determined by NMR
spectroscopy . The measurements were obtained at 30°C and 400
MHz with a Bruker Avance 400 spectrometer (Bruker, Karlsruhe, Germany).
Two-dimensional proton-detected heteronuclear
13C-1H correlation ([13C,
1H]-COSY) spectra were recorded . For each labeling
experiment, the following three spectra were measured: one spectrum for
the aliphatic carbons of amino acids and glycerol with the
13C carrier concentration set to 45 ppm, one spectrum for
the aromatic rings of amino acids with the 13C carrier
concentration set to 125 ppm, and one spectrum for the carbons of
glucose with the 13C carrier concentration set to 65 ppm.
For NMR analyses in each labeling experiment, the measurement times
were 15.5 h (data size, 3,072 x 1,024 complex points;
t1max = 249 ms; t2max
= 128 ms; scan number, 8) for aliphatic spectra, 10.5
h (data size, 2,048 x 1,024 complex points;
t1max = 360 ms; t2max
= 128 ms; scan number, 8) for aromatic spectra, and
15.5 h (data size, 1,536 x 1,024 complex points;
t1max = 124 ms; t2max
= 128 ms; scan number, 16) for glucose spectra . Before Fourier
transformation, the time domain data were multiplied in
t1 and t2 with sine-bell
windows shifted by
/2 . The digital resolutions
along
1 after linear prediction and zero filling
were 0.86 Hz/point for aliphatic spectra, 1.47 Hz/point for aromatic
spectra, and 1.72 Hz/point for glucose spectra .
The overall degree of 13C labeling in the sample (P1) was determined from the satellites of well-separated peaks in one-dimensional 1H-NMR spectra (acquisition time, 1.024 s; interscan delay, 8 s) and was confirmed by analysis of the scalar coupling fine structure of leucine Cß . P1 was 0.096 in all cases .
All NMR data processing was performed by using the Bruker XWINNMR software . The 13C-13C scalar coupling fine structures were extracted from the cross sections taken along the 13C axis in a two-dimensional NMR spectrum . After manual baseline correction, the individual multiplet components of the scalar coupling fine structures were integrated to quantify the relative contributions of singlet, doublet, and doublet-of-doublets signals. This evaluation procedure is valid only if strong 13C-13C scalar coupling effects are negligible. Thus, in glucose spectra, only C-4 of ß-glucose was evaluated, because there was strong coupling for the other carbons of glucose . For C-4 of ß-glucose, the scalar coupling constant for the adjacent carbons was much smaller than the corresponding chemical shift difference, so the strong coupling could be neglected .
Flux ratio analysis.
Forty-eight
13C-13C scalar coupling fine structures for the
16 amino acids, glycerol, and glucose present in the hydrolysates were
determined from the two-dimensional NMR spectra . The observed relative
multiplet intensities (I values) were used to calculate the
relative abundances of intact carbon fragments (f values) with
equations A1 and A2 (see Appendix) . The denotations of
f are shown in the Appendix (see Table A1) . The f
values for the following carbon atom positions provided information on
the metabolic origins of their precursors: ß-glucose
C-4 for G6P; His-
, His-ß, and
His-
2 for pentose 5-phosphate (P5P);
Tyr-
x and Tyr-
x for erythrose
4-phosphate (E4P); glycerol C-1/C-3 and glycerol C-2 for triose
3-phosphate; Ser-
, Ser-ß, and Gly-
for
3-phosphoglycerate; Phe-
, Phe-ß, Tyr-
, and
Tyr-ß for phosphoenolpyruvate (PEP); Ala-
,
Ala-ß, Val-
, Val-
1,
Val-
2, Leu-ß, Leu-
1,
Leu-
2, and Ile-
2 for pyruvate;
Leu-
for acetyl-coenzyme A; Lys-ß, Lys-
,
Lys-
, and Lys-
for pyruvate and oxaloacetate;
Asp-
, Asp-ß, Met-
, Thr-
,
Thr-ß, Thr-
, Ile-
, Ile-
1,
and Ile-
for oxaloacetate; and Glu-
, Glu-ß,
Glu-
, Pro-
, Pro-ß, Pro-
,
Pro-
, Arg-ß, Arg-
, and Arg-
for
-ketoglutarate .
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Flux ratios for several key pathways in
central metabolism of wild-type E . coli were derived by
Szyperski (42) . In order
to cope with the unpredicted changes in metabolic network structure due
to genetic manipulations, the formalism derived to analyze wild-type
metabolism needs to be extended . Here we developed equations that are
required to assess the activities of the glyoxylate shunt, the
Entner-Doudoroff (ED) pathway, and the nonoxidative part of the PP
pathway . The ratios of other metabolic fluxes were calculated as
described previously (42,
50) . The detailed
derivation for the fraction of oxaloacetate formed via the glyoxylate
shunt has been described previously
(50) . All results for
flux ratios in this paper contained the standard error introduced by
the experiment error, which was estimated from analysis of redundant
scalar coupling fine structures and the signal-to-noise ratio of the
[13C, 1H]-COSY
spectra .
(i) Oxaloacetate formed via the glyoxylate shunt.
If the
glyoxylate shunt is inactive, the intact C-1-C-2 and
C-3-C-4 fragments in the oxaloacetate (OAA) pool originate from
-ketoglutarate and PEP, yielding equations
1.
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| (1) |
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In
equations 1, Xexch, which is the fraction of
oxaloacetate molecules that were reversibly interconverted to fumarate
at least once, can be calculated from
2f(3)(Asp-ß)/[f(3)(Asp-
)
+ f(3)(Asp-ß)].
Xppc, the fraction of oxaloacetate stemming from
anaplerotic carboxylation of PEP, can be calculated with equation 2.
|
| (2) |
Equations
1 are used to identify the activity of the glyoxylate shunt . If the
glyoxylate shunt is inactive, equations 1 are satisfied within
experimental error, while the active glyoxylate shunt results in
obviously higher values of f(2b)(Asp-
) and
f(2b)(Asp-ß) than the values calculated
with equations 1 .
If the glyoxylate shunt is active under the
conditions investigated, excess intact C-1-C-2 and
C-3-C-4 connectivities in oxaloacetate are introduced via the
glyoxylate shunt . Thus, the fraction of oxaloacetate molecules formed
via the glyoxylate shunt, Xglo, can be obtained by
using equations 3.
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| (3) |
or
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(ii) Pyruvate formed via the ED pathway.
If the ED pathway is active, excess
intact C-1-C-2-C-3 fragments may be introduced into the
pyruvate pool via the ED pathway, yielding equation
4.
|
| (4) |
In
equation 4, XME, the fraction of pyruvate derived
from malate via the malic enzyme, can be calculated with equations
5.
|
| (5) |
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where
lb and ub indicate the lower and upper boundaries, respectively . Since
the interconversion of oxaloacetate to malate leads to the introduction
of intact C-1-C-2-C-3 fragments into the malate pool,
f(3)(Asp-ß)
f(3)(malate C-2)
f(3)(Asp-
) is obtained . Thus, the lower
and upper boundaries for the fraction of pyruvate molecules formed via
the ED pathway, XED,lb and
XED,ub, can be assessed by using equations 6 and 7,
respectively.
|
| (6) |
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| (7) |
The
G6P pool is assessable via glucose; i.e., f(i)(G6P
C-2) = f(i)(glucose C-2) . Equations 6 and 7
are used to identify the activity of the ED pathway when
f(3)(G6P C-2) is larger than
f(3)(Phe-
) .
(iii) P5P and E4P synthesized via the nonoxidative PP pathway.
If P5P and E4P are synthesized from
triose 3-phosphate and fructose 6-phosphate via the nonoxidative part
of the PP pathway, equations 8 are obtained.
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| (8) |
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Metabolic flux analysis. For quantification of carbon fluxes in the central metabolism of E. coli, a bioreaction network was constructed, as shown in Fig. 1 . This network includes the reactions of the EMP, PP, and ED pathways, as well as the tricarboxylic acid (TCA) cycle and the glyoxylate shunt . The reactions catalyzed by PEP carboxylase (v19), PEP carboxykinase (v20), and malic enzyme (v21) were also included . The networks of active pathways identified by flux ratio analysis were used for flux quantification (see Results) . The following enzyme reactions were considered reversible: phosphoglucose isomerase (v2), transketolase (v10 and v12), transaldolase (v11), the sequence of glycolytic reactions leading from triose 3-phosphate to PEP (v4 and v5), succinate dehydrogenase (v16), fumarase (v17), and malate dehydrogenase (v18) .
The reversible transfer of reducing equivalents between NAD(H) and NADP(H) was included in the bioreaction network, because the pyridine nucleotide transhydrogenase has been shown to be active in E . coli (2) . The malic enzyme in E . coli may be NAD+ or NADP+ dependent (32) . While our analysis could not distinguish between fluxes through the two isoenzymes, the only influence of the enzyme was its influence on the flux of reducing equivalents via transhydrogenase . The flux distribution was calculated by assuming that the NAD+- and NADP+-dependent malic enzymes were equally active, and the influence of this assumption on the transhydrogenase flux was investigated .
Metabolic flux analysis was based on three different data sets: (i) substrate uptake and product formation rates; (ii) macromolecular biomass composition; and (iii) relative intensities of the 13C multiplet components of the aforementioned 48 carbon positions in amino acids, glycerol, and glucose determined by two-dimensional [13C, 1H]-COSY . The precursor requirements for biomass formation were derived from the biochemical information concerning biosynthetic pathways in E. coli (36) and the experimentally determined macromolecular composition .
The carbon
flux distribution in the bioreaction network was then determined as a
best fit to the three data sets by using a least-squares
parameter-fitting approach in the mathematical framework, as described
previously (52).
Exchanges fluxes via reversible reactions were quantitatively
considered in the flux calculation . Initially, the isotopomer balances
of all metabolites in the bioreaction network were calculated from a
randomly chosen flux distribution . Relative 13C multiplet
intensities were then simulated from this isotopomer distribution and
compared to the experimentally determined values . The quality of the
fit was judged by the
2 (error) value . Through an
iterative process of data fitting, a flux solution corresponding to the
minimal
2 value was sought . To verify the global
error minimum of the flux solution, multiple calculations were
performed from different random starting points, and the best solution
that was reproducibly attained was presented as the estimated result of
flux distribution . A statistical error analysis of the estimated fluxes
was included in the calculations . Moreover, the flux estimates were
compared with the independently calculated flux ratios from flux ratio
analysis to verify the reliability of flux
estimates .
| RESULTS |
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Growth parameters.
To investigate
quantitatively the effects of pgi or zwf gene
deletion on E . coli physiology, we grew E . coli
wild-type strain W3110, strain BW25113, the phosphoglucose isomerase
knockout (Pgi) mutant JWK3985, and the G6P dehydrogenase knockout (Zwf)
mutant JWK1841 in aerobic chemostats at a dilution rate of 0.1
h-1 under glucose- or ammonia-limited conditions.
The experimentally determined growth parameters are summarized in Table
2 . The parent strain for the knockout mutants, BW25113, exhibited almost
the same growth parameters as W3110 (data not shown) . Under
glucose-limited conditions, all the strains converted glucose
completely to biomass and CO2 without any by-product
formation, and the biomass yields on glucose were similar .
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When
ammonia- and glucose-limited cultures were compared, a significant
increase in the specific glucose uptake rate and a drastically reduced
biomass yield were observed for both wild-type E . coli and the
Zwf mutant, while only a slight reduction in biomass yield was observed
for the Pgi mutant . The specific oxygen uptake rate and the carbon
dioxide evolution rate of wild-type E . coli were higher under
ammonia-limited conditions than under glucose-limited conditions . This
indicated that increased respiration was one response to ammonia
limitation, a phenomenon which has been described for other organisms
(10,
28) . Formation of
by-products by so-called overflow metabolism was observed for the
ammonia-limited cultures of all the strains . The primary by-product was
acetate, but various amounts of pyruvate, fumarate, ethanol,
-ketoglutarate, succinate, and extracellular polysaccharide
were also found . The specific rates of production of acetate and
pyruvate were lowest in the Pgi mutant and highest in the Zwf
mutant .
To obtain accurate information on the specific precursor requirements for subsequent flux analysis, we determined the relative fractions of the major biomass components of E . coli: protein, RNA, and glycogen (Table 3) . As expected, the reserve carbohydrate glycogen content was markedly increased under ammonia-limited conditions . The remaining fraction of biomass was assigned to minor macromolecules, such as DNA, lipids, or peptidoglycan (8) .
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Identification of network structure in E . coli W3110.
The cells from
[U-13C]glucose labeling experiments were harvested
and subjected to hydrolysis, and the relative intensities of
13C-13C scalar coupling multiplet components of
amino acids, glycerol, and glucose in hydrolysates were analyzed by
two-dimensional [13C, 1H]-COSY (Fig.
2) . The data were first interpreted by using flux ratio analysis, which
yielded information on the origins of key metabolites in the central
metabolism (Table
4) . The results of flux ratio analysis allowed us to identify the network
of active reactions and to determine the ratios of some carbon
fluxes .
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In agreement with previous results
(50), the flux ratio
analysis of W3110 showed the activities of two enzymes that are
generally considered to be inactive in E . coli grown on
glucose, PEP carboxykinase and malic enzyme . These enzymes catalyze the
gluconeogenic conversion of oxaloacetate to PEP and the conversion of
malate to pyruvate, respectively (Fig.
1) . The anaplerotic PEP
carboxylase replenished the TCA cycle in wild-type E . coli,
and more than one-half of the oxaloacetate molecules were found to
originate from PEP (Table
4) .
The glyoxylate
shunt consisting of isocitrate lyase and malate synthase was found to
be inactive in W3110 . This result was obtained based on analysis of the
intact carbon fragments for Asp-
, Asp-ß,
Phe-
, Glu-ß, and Glu-
(f values are
shown in Table
5), which were derived from C-2 and C-3 of oxaloacetate, C-2 of PEP, and
C-3 and C-4 of
-ketoglutarate, respectively . The f
values for these carbon positions were found to satisfy the
relationship shown in equations 1 within experimental error,
demonstrating that oxaloacetate was synthesized exclusively from the
TCA cycle and the anaplerotic carboxylation of PEP . Identification of
the ED pathway activity by using equations 6 and 7 required the
labeling data for G6P C-2 that could be assessed by using glucose C-2.
Unfortunately, the 13C multiplet pattern of glucose C-2
could not be evaluated because of strong 13C-13C
scalar coupling effects . Thus, in this analysis we could not exclude
the possibility that the ED pathway makes a minor contribution to
glucose catabolism in W3110 . Because the ED pathway has been shown to
be inactive in wild-type E . coli grown with glucose in many
studies (17,
19), it was not
considered in the metabolic network used for W3110 .
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When ammonia-
and glucose-limited cultures were compared, ammonia limitation was
found to induce the following metabolic responses in wild-type E.
coli: (i) a decrease in the amount of PEP molecules originating
from oxaloacetate, indicating decreased in vivo activity of the PEP
carboxykinase; and (ii) a decrease in the amount of P5P molecules
derived from G6P, which suggested low activity of the oxidative PP
pathway assuming that the exchanges via transketolase and transaldolase
did not differ significantly (Table
4) . The flux ratios
obtained for W3110 were almost identical to those of parent strain
BW25113 used for knockout mutations (data not shown), demonstrating
that there were few interstrain differences in central carbon
metabolism . The only exception was the fraction of oxaloacetate
molecules originating from PEP, which was 47% in glucose-limited
strain BW25113 . This difference was very small compared to the changes
arising from knockout
mutations .
Identification of network structure in the Pgi mutant. The flux ratio analysis of the Pgi mutant revealed the absence of G6P molecules derived from fructose 6-phosphate through the phosphoglucose isomerase reaction (Table 4) . This information was obtained from direct interpretation of the 13C-13C scalar coupling fine structure of glucose C-4 in the [13C, 1H]-COSY spectra . As Fig. 3 shows, the scalar coupling multiplets of glucose C-4, which was used to assess the labeling pattern of G6P, showed that the doubletwas not present in the Pgi mutant, demonstrating the lack of C-3-C-4 and C-4-C-5 carbon bond cleavage in G6P. However, in wild-type E . coli, a significant fraction of the C-3-C-4 carbon bonds in fructose 6-phosphate were cleaved due to the action of the PP pathway, and this carbon bond cleavage was introduced into the G6P pool by the phosphoglucose isomerase reaction. Hence, a significant contribution of the doublet to the multiplets of glucose C-4 was observed for W3110 (Fig. 3), reflecting the cleavage of C-3-C-4 bonds in G6P introduced by the active phosphoglucose isomerase reaction . This result indicated that in the Pgi mutant, the phosphoglucose isomerase was inactive in vivo, and the labeled substrate, glucose, was the sole source of G6P . The in vitro enzyme activity measurements also confirmed that no phosphoglucose isomerase could be detected in the crude extract of the Pgi mutant .
|
A decrease in the fraction of oxaloacetate molecules
originating from PEP was observed for the Pgi mutant compared to the
fraction for the wild-type strain (Table
4) . This could be
qualitatively assessed from direct inspection of the
13C-13C scalar coupling fine structure of
Asp-
(Fig . 2).
The abundances of the doublet with a small coupling
constant and the doublet of doublets in the multiplets of Asp-
were related to the oxaloacetate molecules (the direct precursors of
Asp) that possessed intact C-2-C-3 connectivities . Since the
intact C-2-C-3 fragments in oxaloacetate can be introduced only
by the anaplerotic reaction of PEP carboxylation, the abundances of the
doublet with a small coupling constant and the doublet of doublets
reflected the in vivo activity of the PEP carboxylase . The abundances
of the doublet with a small coupling constant and the doublet of
doublets were significantly lower for the Pgi mutant than for the
wild-type E . coli strain (Fig.
2), showing that a smaller
fraction of oxaloacetate molecules was synthesized from the anaplerotic
reaction of PEP carboxylation in this mutant .
The glyoxylate
shunt was found to be active in the Pgi mutant by flux ratio analysis
(Table 4) . Visual
inspection of the scalar coupling fine structures of Asp-
and
Asp-ß revealed a surprisingly high abundance of the doublet
split by a larger coupling constant for the Pgi mutant (Fig.
2) . The analysis of the
intact carbon fragments from Asp-
, Asp-ß,
Phe-
, Glu-ß, and Glu-
(f values are
shown in Table 5) showed
that the f(2b)(Asp-
) and
f(2b)(Asp-ß) values were significantly
higher than the values calculated for
f(2b)(Phe-
),
f(2)(Glu-ß), and
f(2b)(Glu-
) with equations 1 . This
indicated that the intact C-1-C-2 and C-3-C-4 fragments
in the oxaloacetate pool could not be derived entirely from the TCA
cycle and PEP carboxylation and that excess intact C-1-C-2 and
C-3-C-4 connectivities were introduced via the glyoxylate
shunt . Therefore, the flux ratio analysis provided evidence of the in
vivo activity of the glyoxylate shunt, which is normally required for
growth on carbon sources, such as acetate or fatty acids, and is
generally considered to be repressed in E . coli grown on
glucose (5) . Consistently,
in vitro enzyme activity analysis also confirmed that no isocitrate
lyase could be detected in wild-type E . coli, while the Pgi
mutant exhibited an isocitrate lyase activity of 197 nmol mg of
protein-1 min-1 . By calculating
with equations 3 and the f values of Asp-
,
Asp-ß, Phe-
, Glu-ß, Glu-
, and
Leu-
(Table 5),
we found that more than one-half of the oxaloacetate molecules were
formed via the glyoxylate shunt in the glucose-limited culture of the
Pgi mutant (Table
4) .
The flux ratios
in the Pgi mutant also showed that the ED pathway made a minor
contribution to glucose catabolism (Table
4) . Three carbon positions
carry the information necessary to identify the activity of the ED
pathway (Table
6): Phe-
is derived from C-2 of PEP, and Ala-
and
Val-
are derived from C-2 of pyruvate . The f values
of Ala-
and Val-
fulfill the following relationship:
f(2b)(Val-
) =
f(2b)(Ala-
) +
f(3)(Ala-
) . Using equations 6 and 7 for
identification of the ED pathway activity required the f
values for G6P C-2 and the flux via the malic enzyme . As described
above, the G6P molecules in the Pgi mutant originated solely from the
labeled substrate, glucose, so that f(3)(G6P C-2)
= 1 . The flux through the malic enzyme was negligible in the
Pgi mutant (Table 4).
Thus, according to equations 6 and 7, the ED pathway was found to
account for about 6 and 11% of the pyruvate molecules
synthesized in the glucose- and ammonia-limited Pgi mutant,
respectively (Table
4) .
|
Identification of network structure in the Zwf mutant.
The flux ratio analysis of the Zwf
mutant showed that two biosynthetic precursors, P5P and E4P, were
synthesized from triose 3-phosphate and fructose 6-phosphate via the
nonoxidative part of the PP pathway (Table
4) . The labeling patterns
of P5P and E4P were assessed by using the labeling data for histidine
and the aromatic ring of tyrosine, respectively . Generally, both the
oxidative and nonoxidative branches of the PP pathway may contribute to
the synthesis of these two precursor metabolites . Analysis of the
intact carbon fragments for His-
, His-ß,
Tyr-
x, glycerol C-2, and Tyr-ß (f
values are shown in Table
7) showed that the relationships in equations 8 were satisfied within
experimental error for the Zwf mutant . This result indicated that the
nonoxidative branch of the PP pathway was used only for synthesis of
the precursors and that the oxidative branch consisting of G6P
dehydrogenase and 6-phosphogluconate dehydrogenase was inactive . The
6-phosphogluconate dehydrogenase activity was not disrupted in the Zwf
mutant and was found to be comparable to that in wild-type E.
coli by our in vitro enzyme activity analysis (data not shown).
Consequently, the G6P dehydrogenase was inactive in vivo in the Zwf
mutant . Also, the possibility that there is an active ED pathway could
be ruled out for this mutant strain .
|
When the Zwf mutant was
compared with W3110 in glucose-limited cultures, very similar flux
ratio results were obtained (Table
4) . The glyoxylate shunt
was also found to be inactive in the Zwf mutant . These results
suggested that inactivation of G6P dehydrogenase did not have a
significant influence on the central carbon metabolism . However, under
ammonia-limited conditions, the Zwf mutant exhibited a flux ratio
pattern that was very different from that of the wild-type strain
(Table 4) . (i) A
significant increase in the fraction of oxaloacetate molecules
originating from PEP was observed, demonstrating that there was an
increased contribution from anaplerotic PEP carboxylation and a
corresponding decrease in the TCA cycle activity . As described above,
this information was obtained from inspection of the scalar coupling
multiplets of Asp-
. The levels of the doublet with a small
coupling constant and the doublet of doublets in the multiplets of
Asp-
were significantly higher in the ammonia-limited culture
of the Zwf mutant than in the W3110 culture (Fig.
4) . This result suggested that in the ammonia-limited Zwf mutant, the TCA
cycle operated predominantly for the generation of biosynthetic
precursor metabolites and to a lesser extent for ATP generation via
oxidative phosphorylation . (ii) The PEP molecules arising from
oxaloacetate were absent, indicating that there was negligible activity
of the PEP carboxykinase in vivo . (iii) There was an increase in the
amount of pyruvate molecules derived from malate, indicating that there
was increased activity of the malic enzyme . (iv) The fraction of
oxaloacetate molecules that were reversibly interconverted to fumarate
was reduced (Table
4) .
|
Quantification of intracellular metabolic fluxes.
To obtain higher resolution of the
intracellular fluxes, the extracellular flux data (Table
2), the biomass
composition data (Table
3), and the relative
intensities of 13C-13C scalar coupling multiplet
components (data not shown) were combined for flux quantification by
using metabolic flux analysis . Based on the results of flux ratio
analysis, the reactions catalyzed by PEP carboxykinase and malic enzyme
were included in the bioreaction network for flux analysis . Moreover,
the glyoxylate shunt and the ED pathway were considered for
quantification of the intracellular fluxes in the Pgi mutant, because
flux ratio analysis provided direct evidence for the activity of these
pathways . By using isotopomer balances of all metabolites in the
bioreaction network, a mathematical framework relating the
intracellular fluxes to the available measurement data was constructed.
The intracellular carbon flux distribution was then determined as the
best fit to all data by using a parameter-fitting approach .
The intracellular fluxes determined represent estimates for in vivo enzyme activities . BW25113 and W3110 exhibited very similar flux distributions (data not shown) . The intracellular flux distributions in wild-type E . coli were found to depend strongly on the limiting nutrient (Fig . 5A and B) . Changing the limiting nutrient from glucose to ammonia resulted in a reduced flux through the oxidative branch of the PP pathway, so that the contribution of the EMP pathway to glucose catabolism was increased . This result is consistent with the flux ratio analysis results and previous findings (14, 38) . Moreover, the gluconeogenic flux from oxaloacetate to PEP via the PEP carboxykinase was significantly lower, whereas the malic enzyme flux from malate to pyruvate was higher under ammonia-limited conditions than under glucose-limited conditions .
|
The flux ratio analysis provided
qualitative or semiquantitative evidence that knockout of
phosphoglucose isomerase in E . coli resulted in activation of
the glyoxylate shunt . To quantitatively investigate the metabolic flux
responses to the knockout, the intracellular flux distribution in the
Pgi mutant was quantified . The constraint on the flux through
phosphoglucose isomerase was included in the computation, because this
enzyme was determined to be inactive in vivo in the Pgi mutant by the
flux ratio analysis .
As Fig.
5C and D show, the
glyoxylate shunt was activated, and the flux through the isocitrate
dehydrogenase in the TCA cycle was significantly lower in the Pgi
mutant than in W3110 under both limiting conditions investigated . In
wild-type E . coli, isocitrate was metabolized exclusively in
the TCA cycle to generate energy and reducing power (Fig.
5A and B) . In the Pgi
mutant, however, a significant fraction of isocitrate entered the
glyoxylate shunt; 59% of the isocitrate was funneled into the
glyoxylate shunt, and 41% was converted to
-ketoglutarate by the isocitrate dehydrogenase under
glucose-limited conditions (Fig.
5C) . The malate formed by
the glyoxylate shunt served to replenish the carbon skeletons withdrawn
from the TCA cycle for biosynthesis . The flux through the anaplerotic
PEP carboxylase, which served solely to replenish the TCA cycle in
wild-type E . coli (Fig . 5A
and B), was decreased remarkably in the Pgi mutant (Fig.
5C and D) . These results
indicated that disruption of the phosphoglucose isomerase in E.
coli resulted in alterations in cellular anaplerotic
metabolism .
In the Pgi mutant, the ED pathway accounted for 5 and 13% of the glucose catabolic flux under glucose- and ammonia-limited conditions, respectively (Fig. 5C and D) . Hence, the ED pathway was used to a limited extent, and the PP pathway was the primary route for glucose catabolism . A similar observation was made with other phosphoglucose isomerase-deficient E . coli strains (2, 16, 19) . The transhydrogenase flux converting NADPH to NADH was found to be significantly higher in the Pgi mutant than in W3110 (Fig . 5C and D), suggesting that the transhydrogenase played an important role in redox metabolism in this mutant .
The flux distributions in the glucose- and ammonia-limited Zwf mutant are shown in Fig . 5E and F . The constraint on the flux through G6P dehydrogenase was included in the flux calculations, because the flux ratio analysis provided direct evidence of the inactivation of this enzyme in vivo in the Zwf mutant. Under both limiting conditions investigated, G6P dehydrogenase deficiency resulted in exclusive glucose catabolism through the EMP pathway, synthesis of P5P and E4P via the nonoxidative PP pathway, and the transhydrogenase flux converting NADH to NADPH . The fluxes through other parts of metabolism were remarkably similar in the glucose-limited cultures of the Zwf mutant and W3110 (Fig. 5E) . However, under ammonia-limited conditions, the inactivation of G6P dehydrogenase drastically altered the flux distribution (Fig. 5F) . Most strikingly, the TCA cycle flux was reduced to an extremely low level, and a reverse flux through the malate dehydrogenase converted oxaloacetate to malate . Moreover, the ammonia-limited Zwf mutant exhibited surprisingly high fluxes of secretion of acetate and pyruvate . In addition, the flux through the PEP carboxykinase was negligible, while the malic enzyme flux was increased in the ammonia-limited Zwf mutant .
The flux
estimates in Fig . 5 were
obtained from at least 10 independent flux calculations, which were
initiated from different random starting points . The independently
calculated flux solutions turned out to be very similar, and the flux
solutions with the lowest
2 values are shown in
Fig . 5; under glucose- and
ammonia-limited conditions, these
2 values were 62
and 136, respectively, for W3110, 76 and 185, respectively,
for the Pgi mutant, 132 and 89, respectively, for the Zwf mutant . Since
the 95% confidence level of the
2 value in
this type of experiments is around 120
(7), these
2 values are remarkably good for analysis of a
biological system . Therefore, the flux distributions determined can
provide a reliable description of the behavior of the E . coli
metabolic network .
The flux solutions were also
subjected to statistical error analysis based on Monte Carlo
simulations (40,
52) . For most fluxes we
obtained 90% confidence intervals that were less than 8%
of the estimated flux, but the 90% confidence intervals for the
oxidative PP and ED pathway fluxes were less than 25% . The
transhydrogenase flux was obtained by assuming that the
NAD+- and NADP+-dependent malic
enzymes were equally active . For an entirely
NAD+-dependent malic enzyme, the transhydrogenase
flux would be decreased . However, when the transhydrogenase reaction
was omitted from the network, the
2 values of the
corresponding flux solution increased remarkably, indicating that the
transhydrogenase flux was indeed present in E . coli
metabolism . Finally, the flux estimates were verified with the flux
ratios that were independently calculated in the flux ratio analysis.
For example, from the estimated flux distribution in the
glucose-limited Pgi mutant (Fig.
5C), the fraction of
oxaloacetate originating from PEP and the fraction of oxaloacetate
formed via the glyoxylate shunt were calculated to be 29 and
58%, respectively . These values were in very good agreement with
the flux ratio results shown in Table
4, providing further
evidence of the reliability of our flux
estimates .
| DISCUSSION |
|---|
The primary
objective of this study was to quantitatively elucidate metabolic flux
responses of E . coli to knockout mutations in the entrance to
the EMP or PP pathway, phosphoglucose isomerase or G6P dehydrogenase.
To do this, complementary methods, flux ratio analysis and metabolic
flux analysis, based on [U-13C]glucose labeling
experiments and two-dimensional NMR spectroscopy were used . The results
showed that the split ratio of the PP pathway to the EMP pathway was
about 29% in glucose-limited wild-type E . coli, and
ammonia limitation induced a significant reduction in this split ratio
(Fig . 5A and B).
Disruption of phosphoglucose isomerase led to use of the PP pathway as
the primary route of glucose catabolism (Fig.
5C and D) . On the other
hand, G6P dehydrogenase-deficient E . coli catabolized glucose
exclusively through the EMP pathway and synthesized the two
biosynthetic precursors, P5P and E4P, via the nonoxidative PP pathway
(Fig . 5E and F) . However,
additional, unexpected flux responses to the knockout mutations were
also found, which provided new insights into the behavior of the
metabolic network in its entirety .
The glyoxylate shunt was
unexpectedly activated upon knockout of phosphoglucose isomerase (Table
4; Fig.
5C and D) . In the
glucose-limited Pgi mutant, only a minor fraction of isocitrate was
converted to
-ketoglutarate by isocitrate dehydrogenase in the
TCA cycle, while the majority was metabolized via the glyoxylate shunt
(Fig . 5C) . This result is
surprising because the glyoxylate shunt is generally considered to be
inactive in E . coli grown on glucose . The activation of the
glyoxylate shunt in the Pgi mutant can be explained based on the
analysis of intracellular redox metabolism .
The flux results presented above provide a holistic perspective on intracellular metabolism and thus provide unique insight into the generation and consumption of the anabolic reducing power, NADPH (Fig. 6) . In wild-type E . coli, the isocitrate dehydrogenase reaction was the major producer of NADPH, accounting for more than 60% of the NADPH production . In the Pgi mutant, the PP pathway, which was used as the primary glucose catabolic pathway, generated a large amount of NADPH . Overproduction of NADPH is deleterious, as a limited capacity for reoxidation of NADPH is one reason for the low growth rate of phosphoglucose isomerase-deficient E . coli (2) . The Pgi mutant bypassed the isocitrate dehydrogenase reaction by redirecting carbon flow through the glyoxylate shunt, so that the amount of NADPH produced by the isocitrate dehydrogenase reaction was markedly decreased (Fig. 6) . This reaction contributed to less than 20% of the NADPH production in the Pgi mutant . Therefore, activation of the glyoxylate shunt could reduce significantly the production of excess NADPH in the Pgi mutant that was limited in reoxidizing NADPH . NADPH and NADP+ have been identified as effectors that regulate the reversible phosphorylation or inactivation of isocitrate dehydrogenase in E. coli (25) .
|
The
in vivo activity of the ED pathway was found to be low but not absent
in the Pgi mutant (Table
4; Fig.
5C and D) . Up to
13% of the glucose catabolism was catalyzed via the ED pathway
(Fig . 5D) . This result may
also be explained by the limited capacity of the Pgi mutant for NADPH
reoxidation . The flux through the ED pathway reduces concomitant excess
NADPH formation from exclusive glucose catabolism via the PP pathway,
which generates two NADPH molecules, compared to one NADPH molecule in
the ED pathway per molecule of glucose catabolized .
The strong increase or decrease in the PP pathway flux in the Pgi and Zwf mutants apparently disturbed the balance of NADPH (Fig. 6) . Hence, high transhydrogenase fluxes are needed to balance the reducing equivalents NADPH and NADH . In the Pgi mutant, a significant fraction of NADPH was converted to NADH by the transhydrogenase reaction . Thus, it appears that the transhydrogenase reaction plays an important role in maintaining the NADPH balance in phosphoglucose isomerase-deficient E . coli . Consistently, phosphoglucose isomerase knockout mutants of Saccharomyces cerevisiae, in which the transhydrogenase is absent, are blocked for growth on glucose (15) . The reaction converting NADPH to NADH may be catalyzed by the soluble transhydrogenase UdhA, since a physiological role of this enzyme is the reoxidation of NADPH (1, 2) . In the Zwf mutant, NADPH could not be supplied by the oxidative PP pathway (Fig. 6) . The transhydrogenase reaction thus converted NADH to NADPH to satisfy the NADPH requirement for biomass formation . This reaction may be catalyzed by the membrane-bound energy-coupled transhydrogenase PntAB, as one of its metabolic functions is to provide NADPH for biosynthesis (46) .
Disruption of G6P dehydrogenase was counteracted by local flux rerouting via the EMP and nonoxidative PP pathways under glucose-limited conditions (Fig. 5E) . However, additional, significant flux changes in response to this knockout mutation were observed under ammonia-limited conditions (Fig. 5F) . The ammonia-limited Zwf mutant exhibited extensive overflow metabolism and extremely low TCA cycle fluxes . The flux through the malate dehydrogenase was even reversed, which was usually encountered in anaerobic cultures . This flux response could have resulted from the cellular response to oxidative stress . For wild-type E . coli, the specific oxygen uptake rate was higher under ammonia-limited conditions than under glucose-limited conditions (Table 2), indicating that ammonia limitation induced the increased respiration activity . Because the respiration activity is linearly related to the rate of production of hydrogen peroxide (H2O2) in E . coli (22), the cells in an ammonia-limited culture are likely to encounter oxidative stress . In the Zwf mutant, the oxidative PP pathway could not produce NADPH, an essential reducing equivalent for the antioxidant system . Thus, the Zwf mutant was probably sensitive to oxidative stress, a phenomenon that has also been described for isocitrate dehydrogenase-deficient E. coli and G6P dehydrogenase-deficient S . cerevisiae (3, 27) . The activities of the TCA cycle and respiration were reduced to extremely low levels, which could have decreased significantly the production of reactive by-products of oxygen in the ammonia-limited Zwf mutant .
| APPENDIX |
|---|
The abundances of
intact carbon fragments originating from a single glucose source
molecule (f values) were calculated from the observed relative
13C multiplet intensities (I values) . Equation A1
was used for a terminal carbon atom, and equation A2 was used for the
central carbon in a C3 fragment.
|
| (A1) |
![]() | (A2) |
The components in the Kterm and Kcentral matrices were calculated with the probabilistic expressions described by Szyperski (42) . The denotations of f are shown in Table A1 .
| ACKNOWLEDGMENTS |
|---|
Q . Hua and C.
Yang contributed equally to this work .
We thank the reviewers for their helpful suggestions concerning the manuscript .
This work was supported by a grant from the New Energy and Industrial Technology Development Organization (NEDO) of the Ministry of Economy, Trade and Industry of Japan (Development of a Technological Infrastructure for Industrial Bioprocess Project) .
| FOOTNOTES |
|---|
* Corresponding
author . Mailing address: Metabolome Unit, Institute for Advanced
Biosciences, Keio University, Tsuruoka 997-0017, Japan . Phone:
81-235-29-0527 . Fax: 81-235-29-0530 . E-mail:
huaq{at}sfc.keio.ac.jp .
For
a commentary on this article, see page 7031 in this
issue .
| REFERENCES |
|---|