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Applied and Environmental Microbiology, November 2004, p. 6816-6825, Vol. 70, No. 11
0099-2240/04/$08.00+0 DOI: 10.1128/AEM.70.11.6816-6825.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
Jose M. Laplaza,2 and
Thomas W. Jeffries1,2,3*
Department of Food Science,1 Department of Bacteriology, University of WisconsinMadison,3 Forest Products Laboratory, U.S. Department of Agriculture Forest Service, Madison, Wisconsin2
Received 12 May 2004/ Accepted 24 June 2004
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°) of the engineered strain produced more ethanol and accumulated less xylitol from xylose. It formed characteristic colonies on glucose, but it did not grow on xylose. These results are consistent with the higher respiratory activity of recombinant S. cerevisiae when growing on xylose and with its inability to grow on xylose under anaerobic conditions. |
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Bacteria employ xylose isomerase (EC 5.3.1.5) to convert D-xylose to D-xylulose, whereas most yeasts, fungi, plants, and animals use aldose (xylose) reductase (EC 1.1.1.21) and xylitol dehydrogenase (EC 1.1.1.9) with xylitol as an intermediate (5). When NADPH is a cofactor in the first step, the reaction is tied to NADPH production. The second step is coupled to reduction of NAD+, which can create a cofactor imbalance when oxygen or respiration is limiting (4). Naturally occurring yeasts that metabolize xylose anaerobically have an aldose reductase that also accepts NADH (56). Yeasts that ferment D-xylose require oxygen for growth on the sugar (11, 39). No known native eukaryote will grow on xylose anaerobically.
The discovery that yeasts can ferment D-xylulose (7, 59) prompted genetic engineering of xylose fermentation in Saccharomyces cerevisiae. Heterologous expression of xylose isomerase (1, 36) has had periodic reports of success (54), but most efforts have introduced genes coding for xylose reductase (XYL1), xylitol dehydrogenase (XYL2) and D-xylulokinase (EC2.7.1.17) (XYL3 or XKS1) (25, 29, 30, 32, 33, 51). Recombinant S. cerevisiae expressing these three genes for xylose assimilation can grow on xylose as a sole carbon source, but its capacity for ethanol production from xylose depends upon oxygen availability. In this respect, its xylose metabolism is similar to those of native xylose-fermenting yeasts (18). Very recently, uncharacterized mutations in engineered S. cerevisiae have been shown to impart the capacity for anaerobic growth on xylose (50). Metabolic regulation by glucose has been studied in S. cerevisiae for many years (16). The regulatory and physiological properties of xylose metabolism have been extensively studied only in the xylose-fermenting yeast Pichia stipitis (8, 43), which has served as the source of genes for engineering xylose metabolism in S. cerevisiae.
It is crucial to understand the regulatory mechanisms of xylose metabolism, especially if we are to engineer a functional pathway in this nonnative xylose-fermenting organism. In the present study, we used DNA microarrays to investigate how transcriptional regulation of S. cerevisiae differs for xylose and glucose metabolism, and we confirmed the regulation of critical genes by real-time PCR (RT-PCR). We tested two hypotheses rationalizing the low level of production of ethanol from xylose: either growth on xylose does not induce transcripts for glycolytic and fermentative enzymes, or growth on xylose does not repress respiration. As predicted by transcriptional-profiling studies, xylose-grown cells were predominantly aerobic, and we were able to improve xylose fermentation by blocking respiration.
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leu2::LEU2-XYL1 ura3::URA3-XYL2 Ty3::NEO-XYL3) was grown in YP medium as described previously (30). The cells were grown under full aeration or oxygen limitation, with glucose or xylose as a carbon source (four conditions). The cells were cultivated with full aeration in 200 ml of YP medium with 20 g of either glucose or xylose/liter in 1,000-ml flasks shaken at 300 rpm and were harvested at an optical density at 600 nm (OD600) of 1. For simulation of real fermentative conditions, oxygen-limited cells were cultivated with an initial OD600 of 10 in 50 ml of YP medium with 40 g of either glucose or xylose/liter in 125-ml flasks shaken at 100 rpm and were harvested at an OD600 of 30. For monitoring transcripts in the respiration-deficient mutant, FPL-YSX3P, cells were first grown on YP medium with glucose and harvested at an OD600 of 1. The harvested cells were transferred into YP medium with xylose, and then RNA was extracted after 24 h of incubation. Residual sugar concentrations were determined by high-performance liquid chromatography (30). The cells were centrifuged at 4°C for 3 min, washed once in sterilized water, frozen in liquid nitrogen, and kept at 80°C until RNA extraction. For RT-PCR, cells were grown overnight in YP medium with either 4% xylose or 4% glucose as the carbon source. A 125-ml flask with 50 ml of culture was inoculated to an initial OD600 of 0.1 and grown at 200 rpm at 30°C to a final optical density of 1.3 to 2.2. The cells were collected by centrifugation, washed, and fast frozen in liquid nitrogen. Concentrations of glucose, xylose, xylitol, xylulose, and ethanol were analyzed by high-performance liquid chromatography (Gilson, Middleton, Wis.). Cell growth was monitored by OD600.
Genomewide expression analysis.
GeneChip arrays (Affymetrix, Santa Clara, Calif.) were used to monitor mRNA transcripts of putative S. cerevisiae open reading frames. Quantitative RT-PCR was used to measure expression of P. stipitis XYL1, XYL2, and XYL3 transcripts. Total RNA from yeast cells was isolated as described by Holstege et al. (27). cDNA was synthesized with a T7-(dT)24 primer (GENSET Corp.). Labeling of RNA transcripts, hybridization, and scanning were performed according to the manufacturer's instructions. The mRNA copy number per cell was calculated using the hybridization signal obtained from the GeneChip software, assuming that there are 15,000 mRNA molecules per yeast cell (20).
RT-PCR.
Cells from four independent cultures were used for each condition. mRNA was extracted following the protocol described by Holstege et al. (27). cDNA was constructed using random oligonucleotides and the Reverse Transcription System kit (Promega). RT-PCR analyses of the samples were done with SYBR Green PCR Master Mix (Applied Biosystems) as recommended by the manufacturer, except that 15 pmol of oligonucleotides and a final volume of 25 µl per reaction were used. Genomic DNA of YSX3 was extracted as described by Jin et al. (31) and used for a standard curve. Actin was used to normalize for mRNA concentration. All data points were done in triplicate. A Student t test was used to determine if the samples were statistically significant at a 95% confidence level.
Data analysis and databases.
The DNA-Chip Analyzer (dChip) program (http://www.dchip.org) was used to analyze data from the GeneChip instrument. One culture condition (glucose under high aeration) was repeated to assess reproducibility and to determine the criteria for comparing mRNA levels under different culture conditions. Of 5,944 genes, the mRNA levels of 120 genes (2%) changed more than twofold between replicates. However, the greatest variations were observed for genes expressed at fewer than two copies per cell. To consider only significant transcript changes, we filtered out genes whose mRNA signals changed less than twofold and that were present at fewer than two copies per cell ([mRNA]Experiment/[mRNA]Base > 2 and |[mRNA]Experiment [mRNA]Base| > 2 copies). By these criteria, if a transcript was present at more than two copies per cell and if its signal changed at least twofold in intensity, we had a 99.7% assurance that the change was significant. To facilitate easier data mining, we constructed a relational database between the GeneChip data and other on-line databases, such as the Saccharomyces genome database (http://genome-www.stanford.edu/Saccharomyces/), the Proteome Database (26), and the Comprehensive Yeast Genome Database at the Munich Information Center for Protein Sequences (http://mips.gsf.de/proj/yeast/CYGD/db/index.html). Hierarchical clustering analysis and visualization were performed using the Cluster and TreeView programs developed by Eisen et al. (12). Expression data are deposited on the Entrez GEO database (http://www.ncbi.nlm.nih.gov/geo). The series ordered group is GSE835. We mapped our expression data to a compiled transcriptional regulatory network using the methods of Herrgård et al. (22, 23).
Induction of respiration deficiency.
S. cerevisiae FPL-YSX3 (107 cells/ml) was treated with 20 µg of ethidium bromide/ml in YPD (30). The flask was wrapped with aluminum foil and incubated at 30°C for 24 h. The cells were cultivated again in YPD with ethidium bromide and then plated in YPD agar. Following isolation, the absence of respiration activity was verified with a Clark-type oxygen electrode, as described by Jin et al. (29).
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2.7 and 8 h for cells grown on glucose and 4.7 and 16 h for cells grown on xylose under aerobic and oxygen-limited conditions, respectively. For all four conditions, residual sugar was present at the time of harvest. No ethanol was detected under the high-aeration conditions, whereas ethanol was detected under oxygen-limited conditions. Although some small amount of ethanol might have been formed under the high-aeration conditions on glucose, the cells were not carbon limited under the low-aeration, high-carbon, and high-cell-density conditions.
Transcriptional reprogramming with response to carbon source and aeration change.
Oxygen availability did not significantly control gene expression in cells grown on glucose, whereas it greatly affected expression in cells grown on xylose. Of the 5,944 genes detected under the four different culture conditions, only 290 (5%) were differentially expressed under aerobic and oxygen-limited conditions on glucose. In contrast, 509 genes (8.7%) showed differential expression under aerobic and oxygen-limited conditions on xylose (Table 1). The 785 genes whose mRNA levels changed significantly between any two out of the four culture conditions were classified into their functional categories. Genes involved in energy production changed the most (Fig. 1). More than 40% of all genes involved in energy production changed more than twofold in the glucose oxygen-limited (GOL) versus xylose oxygen-limited (XOL) comparison. Genes involved in amino acid metabolism, translation, stress, and defense also changed significantly. Patterns of expression levels identified genes with similar responses over the four different cultivation conditions (6). Although respiration-related genes were coregulated, cluster analysis did not clearly discriminate genes that function together physiologically. Transcript levels for MTH1, encoding a repressor of hexose transport genes (47), and HAP4, encoding the CCAAT binding protein (3), increased significantly on xylose under aerobic or oxygen-limited conditions. Overexpression of Hap4p causes cells to enter a hyperrespiratory state (37).
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TABLE 1. Numbers of genes showing >2-fold differences under different conditions
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FIG. 1. Functional classification (57) of genes that changed with carbon source and aeration. The percentage of genes showing a >2-fold change in each functional category is represented by shading density. GA, glucose under high aeration; XA, xylose under high aeration.
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FIG. 2. Expression levels of XYL1, XYL2, and XYL3 under four different culture conditions. G/A, glucose under high aeration; X/A, xylose under high aeration; G/OL, glucose under oxygen limitation; X/OL, xylose under oxygen limitation; SD, standard deviation.
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FIG. 3. Observed mRNA levels of genes responsible for energy production during glucose (G) and xylose (X) metabolism under high- or low-aeration conditions. Transcript levels that did not change significantly on the two carbon sources are shown in white boxes. Transcript levels that changed more than twofold on xylose or glucose are shown in green and red boxes, respectively. Results under high and low aeration are shown on the left and right sides of each pair of boxes. Numbers inside of each box indicate the ratio (xylose/glucose) of transcripts per cell for cells grown on xylose and glucose. The nomenclature follows that of the Saccharomyces genome database (http://www.yeastgenome.org/).
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TABLE 2. mRNA levels of hexose transporters under different culture conditions
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FIG. 4. mRNA levels of genes involved in NADH/NAD+ shuttle. (1) Cytosolic NAD+-dependent alcohol dehydrogenase (ADH1). (2) Mitochondrial NAD+-dependent alcohol dehydrogenase (ADH3). (3) Mitochondrial internal NADH dehydrogenase (NDI1). (4) Mitochondrial external NADH dehydrogenase (NDE1). (5) Cytosolic NAD+-dependent glycerol-3-phosphate (G-3-P) dehydrogenase (GPD1). (6) Mitochondrial flavoprotein G-3-P dehydrogenase (GUT2). DHAP, dihydroxyacetone phosphate; G/A, glucose under high aeration; X/A, xylose under high aeration; G/OL, glucose under oxygen limitation; X/OL, xylose under oxygen limitation.
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FIG. 5. mRNA levels of transcriptional activator Hap4 under different culture conditions. G/A, glucose under high aeration; X/A, xylose under high aeration; G/OL, glucose under oxygen limitation; X/OL, xylose under oxygen limitation.
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TABLE 3. Comparison of expression analysis data from Affymetrix and RT-PCR determinations of selected transcripts
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TABLE 4. Comparison of sugar consumptions and product yields (xylitol, glycerol, acetate, and ethanol) after 72 ha
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FIG. 6. Comparison of xylose fermentations by YSX3 (A) and YSX3P (B). Symbols: cell mass (), acetate ( ), ethanol ( ), glycerol ( ), xylose ( ), and xylitol ( ).
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FIG. 7. Integration of expression data into a physical interaction network. Each vertex symbol represents a known network transcriptional regulation. Vertex symbolscircles, triangles, and squaresrepresent metabolic enzymes, transcriptional factors, and signals, respectively. The colors of arrows depict the interaction properties (red, activation; green, repression; blue, unknown). A red vertex symbol indicates an increase in mRNA on glucose, and a green vertex symbol represents an increase in mRNA on xylose under aerobic conditions; black indicates no significant change. The size of the vertex symbol is proportional to the log of the magnitude of change in mRNA. A yellow square represents an extracellular signal, and an orange square represents an intracellular signal. Labels for gene transcripts follow standard nomenclature for S. cerevisiae. Abbreviations for signals are as follows: MI, myoinnositol; C181, 1-octadecene; CHO, choline; PTH, heme; UGA3, Uga3 protein; GABA, 4-aminobutanoate; THIAMIN, thiamine; UREAC, urea-1-carboxylate; GLN, L-glutamine; PRO, L-proline; GLU, L-glutamate; NH3, NH3; THR, L-threonine; SER, L-serine; LYS, L-lysine; AMASA, L-2-aminoadipate 6-semialdehyde; TRP, L-tryptophan; TYR, L-tyrosine; PHE, L-phenylalanine; SAM, S-adenosyl-L-methionine; ARG, L-arginine; IP3, isopentenyl diphosphate; IPPMAL, 2-isopropylmalate; LEU, L-leucine; OROA, orotate; DOROA, (S)-dihydroorotate; SAICAR, 1-(5'-phosphoribosyl)-5-amino-4-(N-succinocarboxamide)-imidazole; PI, orthophosphate; ETH, ethanol; GLC, alpha-D-glucose; MLT, maltose; GLAC, D-galactose. The suffix xt indicates an external metabolite.
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Oxygen transfer limits cell growth at very high cell densities. van Hoek et al. showed that with S. cerevisiae the fermentative capacity of the cells correlates strongly with the growth rate (55). One might therefore expect to see lower ethanol production rates because growth rates were lower under the low-aeration, high-cell-density conditions. We observed higher growth rates under the fully aerobic conditions than under the oxygen-limited conditions, yet we observed ethanol only under oxygen limitation. These results are consistent with higher sugar uptake as a consequence of higher aeration. It is possible that the low cell densities used under high aeration simply did not generate detectable levels of ethanol. While the cell densities differed by 30-fold between the aerobic and oxygen-limited conditions, even at the highest cell density (OD600 of 30
7.5 g [dry weight] of cells/liter) the medium was not limiting growth, so the dominant effect observed was the comparison of fully aerobic growth with oxygen-limited respirofermentative growth.
S. cerevisiae engineered for xylose metabolism clearly did not exhibit a fermentative response to the sugar even under oxygen-limited conditions. In fact, transcript levels for HAP4 and the respiratory proteins that it regulates increased on xylose even as oxygen availability decreased. Many previous studies have examined global transcript levels after environmental and cellular perturbations of S. cerevisiae. These include the diauxic shift (9), galactose induction (46), aerobic-anaerobic cultivation (52), mutations in transcriptional apparatus (27), and loss of mitochondrial function (14). Most have used glucose or some carbon sources that are naturally metabolized. Here, we report the expression response of S. cerevisiae harboring a complete nonnative xylose metabolic pathway from P. stipitis. Even though the capacity for xylose assimilation was functional, the regulatory network for xylose fermentation was not adequate. It is not clear whether this was due to the absence of specific signal pathways or to other more general regulatory mechanisms. We conclude that when engineering novel metabolic capacity in a heterologous host, it is not sufficient to provide the enzymes for a particular pathway; the rest of the metabolic system must function in a coordinated manner as well.
Two other research groups have recently published papers describing transcriptional profiles in recombinant S. cerevisiae during xylose metabolism. Wahlbom et al. (58) used chemostats to cultivate cells for mRNA measurements. They compared the levels of transcripts of S. cerevisiae TMB 3399 and TMB 3400 when grown on glucose, glucose plus xylose, or (for TMB 3400) xylose alone. Sedlak et al. (48) examined batchwise fermentation of glucose-xylose mixtures by S. cerevisiae 424A(LNH-ST). The present study performed batch fermentations with S. cerevisiae YSX3 using either glucose or xylose alone. Although the other two data sets are not published on line to enable complete comparisons, all three studies found that genes coding for glycolytic enzymes were not significantly affected by the carbon source and that the mRNA levels of XKS1, coding for endogenous xylulokinase, were higher in cells grown on xylose alone, whereas they were repressed in the presence of glucose either alone or when present along with glucose. Wahlbom et al. (58) and the present study showed that genes for gluconeogenesis and the glyoxylate pathway (PCK1 and ICL1) are highly expressed in cells grown on xylose. Both groups also reported that transcripts for galactose metabolism were derepressed in the TMB 3400 cells growing on xylose alone. There are also some discrepancies. For instance, in the chemostat studies of Wahlbom et al. (58), the transcript level of HXK1 was higher in cells grown on glucose than in those grown on xylose, whereas in our present studies using batch fermentation, the transcript level of HXK1 was much higher on xylose than on glucose (48). In a glucose-limited chemostat, where the glucose concentration is very low, cells could be in a glucose-derepressed state. Thus, the glucose-limited chemostat culture experiment might not have monitored derepression of HXK1 during the transition of carbon sources from glucose to xylose. In contrast, our cells, which were grown on glucose in batch culture, were under glucose-repressed conditions.
Recently Belinchon and Gancedo showed that xylose could cause moderate carbon catabolite repression in S. cerevisiae TMB3001, a strain that has been engineered for xylose metabolism (2). In that study, growth on 1% xylose induced NAD-dependent glutamate dehydrogenase
24-fold over the level attained with 2% glucose. Activities of fructose-1,6 bisphosphatase and isocitrate lyase on 2% xylose were significantly lower than those attained with growth on ethanol but much higher than those seen with growth on glucose. These results were consistent with our findings and those of Wahlbom et al. (58) that growth of engineered S. cerevisiae on xylose induces transcripts for gluconeogenesis.
S. cerevisiae expresses the high-affinity transporters Hxt6p and Hxt7p when growing on glucose or fructose but not on galactose or ethanol, and the low-affinity transporter Hxt1p is induced only at high dilution rates or during the initial phases of batch fermentation on glucose (10). Our studies showed that transcripts of HXT6 and HXT7 were strongly induced on xylose but not on glucose and that HXT1 was induced at a much higher level on glucose than on xylose. Our findings are consistent with a role for xylose as a nonrepressing carbon source that does not trigger induction of low-affinity uptake systems.
It is also possible that cells increased production of respiratory transcripts in response to a low level of sugar uptake. By introducing multiple permease genes, Goffrini et al. enabled Kluyveromyces lactis to grow on galactose and raffinose without respiration (17). Ostergaard et al. were able to increase galactose consumption and respirofermentative activity in S. cerevisiae by altering the regulatory network of the cell (42). If this is the case, overexpression of a xylose transporter might reduce the induction of respiration-related transcripts.
We were able to confirm the Crabtree effect at the level of transcription. This regulatory pattern is characterized by a tight repression of TCA cycle enzymes (encoded by ACO1, IDH2, KGD1, SDH1, and MDH1) and respiratory enzymes (encoded by QCR2 and COX5A) by glucose even under aerobic conditions. We also verified the known regulation of gene expression by oxygen. The mRNA levels of Hap4p, a critical component of the transcriptional activator complex Hap2/3/4, increased threefold under aerobic conditions, even with glucose as a carbon source (Fig. 5). We also discovered unexpected changes in mRNA levels under those conditions. For instance, the mRNA levels of HXK1, FBP1, and PCK1 increased significantly when cells were grown on xylose, regardless of aeration. Expression of these genes is known to increase when cells are grown on nonfermentable carbon sources (Fig. 3). Moreover, the expression of TCA cycle enzymes and respiratory enzymes was not repressed by xylose in the same manner as glucose. Combining these results, we can conclude that recombinant S. cerevisiae does not recognize xylose as a fermentable carbon source. This supports the repression hypothesisthat xylose is poorly metabolized into ethanol because it does not repress respiration in the manner of glucoserather than the induction hypothesis. In contrast, the induction hypothesisthat xylose does not induce the expression of fermentative enzymesis not supported, because we observed that mRNA levels of fermentative enzymes (encoded by ADH1 and PDC1) did not change in response to the carbon source. Additional experiments will be necessary to determine whether increased sugar transport can reduce the induction of respiratory transcripts.
Another notable result was that the expression of many oxidoreductases using NADH or NADPH as cofactors increased when cells were grown on xylose. mRNA levels of GDH2, encoding glutamate dehydrogenase, and LYS12, encoding homoisocitrate dehydrogenase, increased significantly when cells were grown on xylose. These enzymes might work to alleviate redox imbalance during xylose metabolism. It might be possible to change the intracellular redox balance by overexpressing GDH2; Nissen et al. (40) showed that the product formation pattern could be changed (glycerol to ethanol) under anaerobic conditions by oxidizing surplus NADH and overexpression of GDH2 in a gdh1 mutant.
Genetic approaches to improving xylose utilization have mostly focused on blocking the oxidative and enhancing the nonoxidative phases of the pentose phosphate pathway (28). This reduces xylitol production by decreasing the supply of NADPH, but it also greatly inhibits xylose assimilation. In the approach used here, we blocked the terminal oxidation of NADH by respiration, thereby redirecting reductant into ethanol production. However, the respiration-deficient mutant YSX3P (
°) did not grow on xylose despite being able to ferment the sugar at an elevated rate. This observation is consistent with previous reports. Maleszka and Schneider (38) found that S. cerevisiae required oxygen for growth on D-xylulose and that petite mutants of S. cerevisiae did not grow on D-xylulose. Likewise, S. cerevisiae metabolically engineered with XYL1, XYL2, and XKS1 did not grow on xylose as a sole carbon source under anaerobic conditions (13). Recent studies have shown that mutants of recombinant S. cerevisiae that show some limited growth on xylose under anaerobic conditions can be obtained through continuous culture (50). While this evolutionary engineering approach is promising, the natures of these mutants are still unknown. Despite several attempts, we have not been able to obtain significant growth of the petite mutants on xylose with minimal medium. It is possible that the complete loss of the mitochondrial genome, as occurs in
° mutants, deletes physiological functions other than respiration that are essential for anaerobic growth on xylose. However, the petite strain could sustain viability on xylose, and the specific xylose uptake rate of the mutant was 50% higher than that of its parent (0.081 versus 0.054 g of xylose g of cells1 h1). This is one of the essential characteristics of cells metabolically engineered for industrial fermentations.
We express our profound gratitude to Marcus Herrgård for providing the transcriptional regulatory network database.
Present address: Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139. ![]()
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