Identification of Prebiotic Fructooligosaccharide Metabolism in Lactobacillus plantarum WCFS1 through Microarrays

Abstract

Short-chain fructooligosaccharides (scFOS) and other prebiotics are used to selectively stimulate the growth and activity of lactobacilli and bifidobacteria in the colon. However, there is little information on the mechanisms whereby prebiotics exert their specific effects upon such microorganisms. To study the genomic basis of scFOS metabolism in Lactobacillus plantarum WCFS1, two-color microarrays were used to screen for differentially expressed genes when grown on scFOS compared to glucose (control). A significant up-regulation (8- to 60-fold) was observed with a set of only five genes located in a single locus and predicted to encode a sucrose phosphoenolpyruvate transport system (PTS), a β-fructofuranosidase, a fructokinase, an α-glucosidase, and a sucrose operon repressor. Several other genes were slightly overexpressed, including pyruvate dehydrogenase. For the latter, no detectable activity in L. plantarum under various growth conditions has been previously reported. A mannose-PTS likely to encode glucose uptake was 50-fold down-regulated as well as, to a lower extent, other PTSs. Chemical analysis of the different moieties of scFOS that were depleted in the growth medium revealed that the trisaccharide 1-kestose present in scFOS was preferentially utilized, in comparison with the tetrasaccharide nystose and the pentasaccharide fructofuranosylnystose. The main end products of scFOS fermentation were lactate and acetate. This is the first example in lactobacilli of the association of a sucrose PTS and a β-fructofuranosidase that could be used for scFOS degradation.

Prebiotics are defined as nondigestible food ingredients that beneficially affect the host by selectively stimulating the growth and/or activity of one or a limited number of bacteria in the colon that can improve host health (19). Main targets for the prebiotic approach are bifidobacteria and lactobacilli, as these intestinal bacteria show several positive effects upon human well-being (18, 35).

Fructooligosaccharides are among the most extensively studied prebiotics and include a diverse family of fructose polymers which vary in length and can either be derivatives of simple fructose polymers or fructose moieties attached to a sucrose molecule. Most fructooligosaccharides marketed as ingredients for foods and nutritional supplements are either synthesized from sucrose using fructosyltransferases derived from Aspergillus niger (short chain fructooligosaccharides [scFOS]) or extracted from chicory roots (Cichoricum intybus) by a partial enzymatic hydrolysis of inulin (FOS). Their general structure can be represented by GF_n or F_n, in which G and F are, respectively, a glucose or fructose unit and n is the number of fructosyl units. The different units are linked by β(2→1) bonds. The structures of these two sugar classes are similar. FOS and scFOS are resistant to digestion in the stomach and small intestine (3, 15) and thus are able to reach the colon, where they are selectively fermented by beneficial bacteria (7, 26).

While some limited insight has been provided for the manner by which bifidobacteria utilize fructooligosaccharides (33), mechanisms in lactobacilli are still unclear despite the commercial interest in this group of gram-positive bacteria (19). A recent study reported the presence of a fructofuranosidase responsible for the hydrolysis of fructooligosaccharides in L. acidophilus (4) encoded by an inducible operon that included a fructofuranosidase gene associated with the genes for an ATP-binding cassette (ABC) transport system. This study showed that L. acidophilus was able to use both scFOS and FOS. Similarly, an ATP-dependent transport system was implied in FOS utilization by L. paracasei (23).

L. plantarum is encountered in many food products and is a natural inhabitant of the human gastrointestinal tract (GIT) (16). It is also marketed as a probiotic (27). L. plantarum WCFS1 was originally isolated from human saliva (24). Its complete genome (3.3 Mb) has been analyzed in detail and is one of the largest known for lactic acid bacteria (24). One of its characteristics is the ability to ferment a large range of carbohydrates, such as monosaccharides (glucose, mannose, and galactose), disaccharides (sucrose, lactose, and trehalose), and oligosaccharides (raffinose and melezitose) (8). It has been also shown to survive passage through the stomach while remaining active and persisting for more than 6 days in the human GIT (43). The genetic basis for this persistence was investigated, and results showed that a number of genes encoded functions related to the metabolism of sugars were induced in situ in the GIT (9).

Metabolism of prebiotic fructooligosaccharides is an important feature for a Lactobacillus strain, and the mechanisms behind this have not been elucidated. Here, we describe a comparison of the expression of the genes of L. plantarum WCFS1 when grown on a chemically defined medium with scFOS or glucose using two-color oligonucleotide microarrays to screen differently expressed genes involved in metabolism. Analyses of the fractions of scFOS consumed were also performed to determine preference in the uptake of the different moieties.

MATERIALS AND METHODS

Growth with fructooligosaccharides in a chemically defined medium.

L. plantarum strain WCFS1 (24) was grown anaerobically in 10 ml of chemically defined medium, the composition of which has been previously described (33), with the following modifications (in mg/liter): K₂HPO₄ (Merck, The Netherlands), 1,000; KH₂PO₄ (Merck), 5,000; tyrosine (Sigma, The Netherlands), 250; d-biotin (Sigma), 2.5; FeCl₃·6H₂O (Sigma), 3; MnCl₂·4H₂O (BDH, United Kingdom), 16; CuSO₄·5H₂O (BDH), 2.5; (NH₄)₆Mo₇O₂₄·4H₂O (BDH), 2.5; cysteine-HCl (Sigma), 130. As the sole carbon source, 10 g/liter of the test sugars was added to the growth medium. Carbohydrates were either scFOS Actilight 950P (Beghin Meiji, France) or FOS Raftilose P95 (Orafti, Belgium). Glucose (BDH) was used as a control. Growth with the maximum quantity of residual sugars (0.5 g/liter), such as glucose, fructose (Sigma), or sucrose (Sigma,) contained in both scFOS and FOS was monitored in order to verify that this amount of sugar was negligible when growth occurred with fructooligosaccharides. scFOS had the following composition: >95% (wt/wt) fructooligosaccharides (trisaccharide [1-kestose] GF2, tetrasaccharide [nystose] GF3, and pentasaccharide [1^F-fructosyfuranosylnystose] GF4) and <5% (wt/wt) residual sugars, such as glucose (G), fructose (F), and sucrose (S). FOS had the following composition: >95% (wt/wt) fructooligosaccharides (78% F_n-type molecules and 22% GF_n-type molecules, with a degree of polymerization [DP] from 2 to 10) and <5% (wt/wt) residual sugars, such as glucose, fructose, and sucrose. Culture optical density at 600 nm (OD₆₀₀) was measured using a spectrophotometer (Ultrospec 3000; Pharmacia Biotech) for 24 h.

Batch culture study: fermentations.

Four batch culture systems containing 500 ml of the chemically defined medium described above were prepared, two containing 1% (wt/vol) glucose and two containing 1% (wt/vol) scFOS as the sole carbon source. Media were gassed with O₂-free N₂ (15 ml/min) to keep the cultures anaerobic. The cultures were constantly stirred, and the temperature was kept constant at 37°C by means of a circulating water bath which pumped into a jacket surrounding the fermentors. Each fermentor was inoculated with 2% (vol/vol) with an overnight culture of L. plantarum WCFS1 grown in the same chemically defined medium with the same sugar as in the main culture, to generate approximately 10⁸ cells/ml in the vessel. Every 30 min, 2.5 ml of culture fluid was removed from each batch culture system to measure pH and the OD₆₀₀. When fermentation had reached an optical density whereby the bacterium was in the exponential phase of growth and where most of the residual sugars of scFOS had been depleted (i.e., an OD₆₀₀ of 1 for fermentation with glucose and scFOS and an OD₆₀₀ of 1.5 for scFOS), a 50-ml sample was removed. Forty milliliters of this sample was kept for further RNA extraction and immediately added to 160 ml of quenching buffer (60% [vol/vol] methanol, 66.7 mM HEPES, pH 6.5, −40°C) (32) and stored for at least 30 min at −40°C. The 10 ml left from the batch culture sampling was stored at −20°C for further analysis of end products of fermentation and sugars.

Sugar analysis. (i) Total sugar assay.

The general phenol-sulfuric assay was performed for determination of total carbohydrate contents (10, 13). The assay was calibrated with d-glucose standards or Actilight P950 using ultrapure water from 0 to 0.15 mg/ml. From each sample taken during the batch culture fermentations at an OD₆₀₀ of 1 and an OD₆₀₀ of 1.5, 1 ml of supernatant was used following centrifugation at 1,500 × g and diluted 50-fold with distilled water. The assay was performed in triplicate for each sample. Results were expressed as the percentage of sugar remaining in the samples (wt/vol) compared to the initial concentration of sugar present at the beginning of the fermentation.

(ii) Determination of disappearance of different fractions of scFOS by HPAEC-PAD.

In order to determine whether the DP of the different fractions of scFOS had an influence on the fermentation capability of L. plantarum WCFS1, high-performance anion exchange chromatography with pulse amperometric detection (HPAEC-PAD) was used to measure the concentration of the different moieties still present when batch culture samples with scFOS were taken. For each sample with scFOS, 1 ml of supernatant was kept after centrifugation at 1,500 × g for 10 min. Supernatants were then passed through a 0.2-μm filter and 20-fold diluted in distilled water. The assay was calibrated with scFOS (Actilight 950P) as a standard whose composition in scFOS content was known, i.e., 1-kestose GF2, 44% (wt/wt); nystose GF3, 46% (wt/wt); and 1^F-β-fructofuranosylnystose GF4, 10% (wt/wt). Standards with glucose (BDH), fructose (Sigma), and sucrose (Sigma) were also included.

Samples were injected in 25-μl volumes for analysis by HPAEC-PAD using a pellicular anion-exchange resin-based column CarboPac PA1 (Dionex Ltd., United Kingdom). Carbohydrates were eluted at a flow rate of 1 ml/min using a gradient mobile phase of concentrations of sodium hydroxide and sodium acetate solutions at 20 ± 0.5°C. The four different mobile phases used were as follows: A (12.5 mM NaOH), B (125 mM NaOH), C (125 mM NaOH/500 mM Na-acetate), and D (8 mM Na-acetate). A cleaning and preconditioning step was initially carried out followed by a subsequent analysis period of 50 min where different concentrations of the different eluents were used to separate and elute carbohydrate in the mixtures injected. Results were expressed as the percentage of the concentration of the moiety left in the samples compared to the initial concentration at the start of the fermentation.

End-product analysis.

The production of lactic, acetic, propionic, and butyric acids in the batch cultures was determined by high-performance liquid chromatography (HPLC). One milliliter of batch culture sample was centrifuged at 1,500 × g for 15 min, and 20 μl of the resulting supernatant was injected into a model 1050 UV HPLC (Hewlett Packard). The column was a prepacked Aminex HPX-87-H strong cation-exchange resin column (150 by 7.8 mm inner diameter), fitted with an ion-exclusive microguard refill cartridge (Bio-Rad). Degassed 0.005 M sulfuric acid was used as an eluent at a flow rate of 0.6 ml/min, and the operating temperature was 50°C. Organic acids were detected by UV at a wavelength of 220 nm and calibrated against standards of lactic, acetic, propionic, and butyric acids (Sigma) at concentrations between 10 and 100 mM. Initial concentrations of acetate present in the media were subtracted to quantify the amount of acetate produced during culture.

Transcriptome analysis. (i) Microarrays.

Microarrays containing in situ-synthesized 60-mer oligomers were produced by Agilent Technologies, according to a custom probe design based on the genome sequence of L. plantarum WCFS1. A total of 8,011 unique 60-mers having a theoretical melting temperature of approximately 82°C were selected. The melting temperature was calculated using nearest neighbor calculations (31), a Na⁺ concentration of 1 M, and an oligonucleotide concentration of 10⁻¹² M. Of the unique probes, 1,596 were randomly selected and printed in duplicate on the array. The array contained a total of 9,607 custom 60-mers. Genes were represented by 1 (4.7%), 2 (6.8%), 3 (48.9%), 4 (32.5%), 5 (8.4%), or 6 probes (0.5%). A total of 260 putative genes were not represented on the array because no unique probe satisfying the selection criteria could be selected. Many of the putative genes not represented on the array were relatively short and encoded hypothetical proteins, transposase fragments, prophage proteins, ribosomal proteins, and tRNAs.

(ii) RNA extraction.

Following quenching, the cells were pelleted by centrifugation at 9,000 × g for 10 min at −20°C. The supernatant was then discarded, and the cell pellet was cooled in 60% (vol/vol) ethylene glycol. The cell pellet was transferred with a precooled spatula to a screw cap tube containing an extraction mixture (500 μl 1:1 phenol-chloroform, 30 μl of 10% [vol/vol] sodium dodecyl sulfate [SDS], 30 μl Na-acetate pH 5.2, 400 μl Tris-EDTA buffer [10 mM Tris(hydroxymethyl)amino methane, 1 mM EDTA, pH 7.4], and 500 mg of 75- to 150-μm glass beads). The cell pellet was thoroughly mixed with the extraction mixture, and the tube was immediately frozen in liquid nitrogen. Samples were stored at −80°C. The cells were then broken under frozen conditions in the Savant FastPrep FP120 (Qbiogen Inc., France) using two treatments of 40 seconds. The cells were then centrifuged at 4°C at 10,000 × g for 5 min. A 500-μl aliquot of the supernatant was transferred to a new tube, and 400 μl of cold chloroform was added. The tube was centrifuged at 4°C at 10,000 × g for 2 min. Isolation of RNA continued with the High Pure RNA isolation kit (Roche Diagnostics, Germany). Following isolation, 50 μl of RNA solution was obtained. The RNA concentration was measured at an OD of 260 nm with the ND-1000 spectrophotometer (NanoDrop Technologies Inc.). The A₂₆₀/A₂₈₀ ratio was measured to check purity of the RNA. Quality of the RNA obtained was analyzed with the 2100 Bioanalyser (Agilent Technologies). Samples whereby the 23S/16S RNA ratio was superior or equal to 1.6 were taken for further labeling.

(iii) Labeling and hybridization.

Five micrograms of RNA was used for each sample to be labeled. Each sample was labeled with cyanine 3 and cyanine 5. Indirect labeling was performed with the CyScribe first-strand cDNA labeling kit (Amersham, United Kingdom) according to the manufacturer's protocol. A 0.3-μg aliquot of Cydye-labeled cDNA was used for the hybridization for each sample. In total, six arrays (Agilent Technologies) were used. Each sample was hybridized twice, i.e., once for each dye. The arrays were hybridized for 17 h at 60°C. Slides were subsequently washed in solution 1 (700 ml MilliQ, 300 ml of 20× SSC [1× SSC is 0.15 M NaCl plus 0.015 M sodium citrate], 0.5 ml 10% [vol/vol] Triton X-102) for 10 min and in solution 2 (995 ml MilliQ, 5.0 ml 20× SSC, 0.5 ml 10% [vol/vol] Triton X-102; 4°C) for 5 min. Slides were then dried using a nitrogen-filled air gun to rapidly blow drops of solution from the slides. Slides were scanned with a ScanArray Express scanner (Perkin-Elmer), using a 10-nm resolution. Images were analyzed with the ImaGene 4.2 software (BioDicovery).

The microarray hybridization scheme consisted of a loop design with six arrays with the following samples hybridized on one array and labeled with cyanine3 and cyanine5, respectively: G1 and F1, F1 and F2, F2 and G2, G2 and F3, F3 and F4, and F4 and G1. Here, G1 and G2 represent biological duplicates taken when L. plantarum WCFS1 was grown on glucose at an OD₆₀₀ of 1, F1 and F2 represent biological duplicates on scFOS at an OD₆₀₀ of 1, and F3 and F4 represent biological duplicates on scFOS taken at an OD₆₀₀ of 1.5. Samples F1 and F3 were taken from one culture at different optical densities, whereas F2 and F4 were taken from the duplicate culture.

Data analysis.

After blank spots had been removed, array measurements were normalized by local fitting of an M-A plot applying the loess algorithm (46), using the Limma package (39) in R (http://www.r-project.org). Spot intensities in both channels (I₁ and I₂) were thus converted to M-A coordinates, where M = log₂(I₁/I₂) and A = log₂(I₁/I₂)/2. Normalized intensities were used for further analysis.

First, it was confirmed that there were no systematic differences between the biological duplicates (G1/G2, F1/F2, and F3/F4) by comparing the error between replicates to the within-array error between duplicate spots. Subsequently, biological replicates were treated as duplicate measurements, and their averages were compared using linear modeling functions from the Limma package. The statistical significance of differences was calculated from variation in biological duplicates, using the eBayes function in Limma (cross-probe variance estimation) and false discovery rate (FDR) adjustment of the P values (38). The list of differentially expressed genes was projected onto the metabolic pathways known for L. plantarum (41) using the Sympheny software (Genomatica, Inc., San Diego, Calif.) to visualize which pathways were particularly affected. Only genes with FDR-adjusted P values less than 0.1, corresponding to at most 10% false positives, were displayed.

Database searches were performed using nonredundant sequence accessible at the National Center for Biotechnology Information (http://www.ncbi.nlm.nih.gov) by using the BlastP program (1) for genes strongly upregulated with scFOS. To predict the location of the proteins, the biological software SignalP (http://www.cbs.dtu.dk/services/SignalP) was exploited.

Microarray accession numbers.

The microarray platform and microarray data are available at the Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo) under the accession numbers GPL4318 and GSE5882, respectively.

RESULTS

Preferential growth of L. plantarum WCFS1 with glucose and scFOS.

L. plantarum WCFS1 was found to grow in a chemically defined medium under anaerobic conditions only with glucose or scFOS and reached, respectively, OD₆₀₀ of 5.2 and 2.2 after 24-h incubation (data not shown). In contrast, L. plantarum WCFS1 did not grow well with FOS, and the maximum OD reached was 0.7 in the same period. When grown with 0.5 g/liter of residual sugars such as glucose, fructose, or sucrose, the OD₆₀₀ never exceeded 0.4 after 24 h of fermentation, while in the medium without any carbohydrate the OD₆₀₀ never exceeded 0.2. Hence, it was concluded that scFOS was a preferred substrate and was therefore chosen to be compared with growth of L. plantarum WCFS1 on glucose in controlled and duplicate batch cultures whereby the OD and pH where determined (Fig. 1). Growth of L. plantarum WCFS1 was more rapid in the medium with glucose added compared to scFOS, which was supported by a rapid acidification as an indication of bacterial fermentation.

FIG. 1.

OD₆₀₀ and pH in batch cultures with L. plantarum WCFS1 in a chemically defined medium with 1% (wt/vol) glucose or scFOS as the sole carbon source. Curves are the averages of values from two biological duplicates ± the standard deviations. ▪, OD₆₀₀ with glucose; □, OD₆₀₀ with scFOS; ▴, pH with glucose; ▵, pH with scFOS.

Sugar consumption and uptake of different fractions of scFOS.

To assess the quantity of sugars consumed by L. plantarum WCFS1, the total sugar content was measured at an OD₆₀₀ of 1 for glucose and scFOS and an OD₆₀₀ of 1.5 for scFOS (Table 1). Results indicated that glucose and scFOS were partially consumed at the time of sampling.

TABLE 1.

Percentage of total carbohydrate contents remaining when L. plantarum WCFS1 was grown in a chemically defined medium with 1% (wt/vol) glucose or scFOS as the sole carbon source, compared to T₀^a

Carbon source and time of sampling	Carbohydrate (% wt/vol) in medium compared to T0
Glucose, OD600 = 1	69.4 (±1.9)
scFOS, OD600 = 1	63.4 (±8.6)
scFOS, OD600 = 1.5	46.7 (±2.3)

^aDetermined by phenol-sulfuric assay. Values are the averages of two biological duplicates (± standard deviation).

A disappearance in the medium of different fractions (GF2, GF3, and GF4) of scFOS was measured by HPAEC-PAD (Fig. 2). This revealed a preferential utilization of the GF2 moiety in scFOS compared to the GF3 and GF4 moieties. At an OD₆₀₀ of 1 and 1.5, 58.3% (wt/vol) and 52.3% (wt/vol) of the initial GF2 content, respectively, was still present in the medium. This proportion was higher for GF3 at an OD₆₀₀ of 1 and 1.5, with 83 and 80% (wt/vol), respectively. The GF4 moiety was hardly used, as 90.8% (wt/vol) was still present in the medium at OD₆₀₀ of both 1 and 1.5. No accumulation of mono- or disaccharides was observed in the medium with scFOS, and most of the residual sugars were depleted at these time points. Traces of sucrose were detected in the medium with scFOS at the beginning of the fermentation (1% [wt/vol] of total sugars at maximum) and at an OD₆₀₀ of 1 but not at an OD₆₀₀ of 1.5.

FIG. 2.

Percentages of the different moieties, GF2, GF3, and GF4, left when L. plantarum WCFS1 was grown in a chemically defined medium with 1% scFOS (wt/vol) as the sole carbon source to an OD₆₀₀ of 1 (light gray bars) or an OD₆₀₀ of 1.5 (dark gray bars), compared to T₀. Values are the averages of two biological duplicates.

Lactate and acetate, main end products of fermentation.

Lactate and to a lower extent acetate were the main end products of sugar fermentation under anaerobic conditions (Fig. 3). There was a slightly higher concentration of these compounds with scFOS at an OD₆₀₀ of 1 and a higher concentration with scFOS at OD₆₀₀ of 1.5 compared to glucose at an OD₆₀₀ of 1. These results were in accordance with pH values recorded in the media of the batch cultures, which were of 4.10 for scFOS at an OD₆₀₀ of 1, 3.80 for scFOS at an OD₆₀₀ of 1.5, and 4.17 for glucose at an OD₆₀₀ of 1.

FIG. 3.

Concentration of the end products lactate (light gray bars) and acetate (dark gray bars) when L. plantarum WCFS1 was grown in a chemically defined medium with 1% (wt/vol) glucose or scFOS as the sole carbon source. G, medium with glucose at an OD₆₀₀ of 1; F_OD1, scFOS at an OD₆₀₀ of 1; F_OD1.5, scFOS at an OD₆₀₀ of 1.5. Values are the averages of two biological duplicates.

Transcriptome results.

To relate differences in the physiological response of L. plantarum WCFS1 to scFOS compared to glucose, the global transcriptome response was determined from a whole-genome microarray. Hence, RNA was isolated from samples taken from the batch cultures for physiological analysis and, after labeling, hybridized to the microarrays using a loop design. No significant differences were found between the biological duplicates grown on glucose or scFOS and harvested at an OD₆₀₀ of 1 (samples G1 and G2 or F1 and F2). However, a cluster of genes involved in pyrimidine metabolism (lp_2697, lp_2698, lp_2700, and lp_2702) was found to be differentially expressed in the biological duplicates grown on scFOS and harvested at an OD₆₀₀ of 1.5 (samples F3 and F4). Nevertheless, globally the biological duplicates were similar, and their average was taken in subsequent data analyses.

A growth phase effect was seen in one culture growing on scFOS when comparing samples F2 and F4 for a limited number of genes which were significantly differentially expressed (lp_2697, lp_2698, lp_2699, lp_2700, lp_2702, and lp_2371). These genes are predicted to participate in the synthesis of purine and pyrimidine. This effect was not apparent when comparing samples F1 and F3 from the duplicate cultures.

Using the average of biological duplicates, the effect of carbohydrate source (glucose or scFOS) on the transcriptome of L. plantarum WCFS1 was investigated. A total of 185 genes were found to be significantly differentially expressed when comparing glucose to scFOS at an OD₆₀₀ of 1, and 191 were found when comparing glucose and scFOS at an OD₆₀₀ of 1.5, which represents approximately 5% of the genome of L. plantarum WCFS1. Ninety-seven of these genes were differentially expressed both for scFOS at OD₆₀₀ levels of 1 and 1.5 compared to glucose. Functionality of the genes differentially expressed was mostly related to carbohydrate metabolism or coding for transport binding proteins. Approximately half were up-regulated, and the remainder were down-regulated (Tables 2 and 3). Clustered genes (lp_0184 to lp_0189) could be distinguished which were strongly up-regulated with scFOS (8- to 60-fold). This set consisted of a fructokinase, a sucrose PTS EIIBCA, a β-fructofuranosidase, a sucrose operon repressor, and an α-glucosidase (Fig. 4). Some of these genes contained conserved domains, such as a domain of the repressor ORF kinase (ROK) family for the fructokinase, a periplasmic binding protein, and a sugar binding domain of the LacI family (pfam00532) as well as a helix-turn-helix motif of the lactose operon repressor (smart00354) for the sucrose operon repressor. Similarities with the products of the gene encoding a sucrose PTS (lp_0185) in Lactobacillus spp. strains other than L. plantarum strains were low. The first proteins showing a degree of similarity were a sucrose PTS from L. sakei (61% identity) and a sucrose PTS from L. acidophilus (57% identity). However, strong similarity with a sucrose PTS from a Pediococcus pentosaceus strain (97% identity) was identified. Similarities with the products of the gene encoding a β-fructofuranosidase (lp_0187) in Lactobacillus spp. strains other than L. plantarum strains were also low. The first enzyme showing a certain degree of similarity was a sucrose-6-phosphate hydrolase from L. sakei (50% identity) or sucrose-6-phosphate hydrolase from L. acidophilus (45% identity). Strong similarities with sucrose-6-phosphate hydrolases were obtained with a Pediococcus acidilactici and Pediococcus pentosaceus strain (98 and 97% identity).

TABLE 2.

Genes showing mainly up-regulation in L. plantarum WCFS1 grown on scFOS at an OD₆₀₀ of 1 or 1.5 versus glucose

Function group and ORF	Description	M FOD1a	M FOD1.5b
Energy metabolism and transport
lp_0184	Fructokinase	5.8	4.9
lp_0185	Sucrose PTS, EIIBCA	6.0	4.6
lp_0187	β-Fructofuranosidase	3.7	3.0
lp_0189	α-Glucosidase	3.7	3.2
lp_0193	α-Glucosidase	0.8	NSc
lp_0280	Transport protein	0.8	NS
lp_0286	Cellobiose PTS, EIIC	1.0	NS
lp_0329	Acetaldehyde dehydrogenase	1.0	NS
lp_0393	Galactoside O-acetyltransferase	0.7	NS
lp_0764	Phosphoglucomutase	0.7	NS
lp_0849	Pyruvate oxidase	0.8	NS
lp_1101	l-Lactate dehydrogenase	1.0	NS
lp_1102	Transport protein	1.0	NS
lp_1105	Malic enzyme, NAD-dependent	0.9	NS
lp_1106	[Citrate (pro-3S)-lyase] ligase	1.0	NS
lp_1107	Citrate lyase, acyl carrier protein	1.0	1.0
lp_1108	Citrate lyase, β chain	1.0	1.0
lp_1109	Citrate lyase, α chain	1.1	1.0
lp_1112	Fumarate hydratase	0.8	NS
lp_1273	Phosphocarrier protein Hpr	0.8	NS
lp_1274	Phosphoenolpyruvate-protein phosphotransferase	0.8	NS
lp_1398	β-Glucosides PTS, EIIA	0.8	NS
lp_1481	Nitrite extrusion	0.8	NS
lp_1498	Nitrate reductase, β chain	0.8	NS
lp_1499	Nitrate reductase, delta chain	0.7	NS
lp_2096	1-Phosphofructokinase	1.1	NS
lp_2097	Fructose PTS, EIIABC	1.5	NS
lp_2151	Pyruvate dehydrogenase complex, E3 component dehydrogenase	1.6	1.2
lp_2152	Pyruvate dehydrogenase complex, E2 component	1.4	1.5
lp_2153	Pyruvate dehydrogenase complex, E1 component, β subunit	1.6	1.1
lp_2154	Pyruvate dehydrogenase complex, E1 component, α subunit	1.7	NS
lp_2371	Uracil transport protein	NS	2.2
lp_2757	Glucan 1,4-α-maltohydrolase	0.8	NS
lp_2684	Aromatic amino acid specific aminotransferase	0.7	1.5
lp_2776	d-Serine dehydratase	NS	1.0
lp_2794	Flavodoxin	0.7	NS
lp_2920	Amino acid transport protein	NS	1.0
lp_2969	N-Acetylglucosamine PTS, EIICBA	0.9	NS
lp_3010	Cellobiose PTS, EIIC	1.1	NS
lp_3011	6-Phospho-β-glucosidase	NS	1.0
lp_3045	Short-chain dehydrogenase/oxidoreductase	0.8	NS
lp_3092	Succinate-semialdehyde dehydrogenase (NAD(P)+)	0.8	1.2
lp_3170	Phosphoglycerate mutase	1.2	NS
1p_3279	Potassium uptake protein	NS	1.0
lp_3284	Quaternary ammonium compound-resistance protein	NS	1.3
lp_3313	Formate C-acetyltransferase	0.9	NS
lp_3314	Formate acetyltransferase activating enzyme	0.9	NS
lp_3418	Phosphoenolpyruvate carboxykinase (ATP)	NS	1.1
lp_3420	Glutamate decarboxylase	0.8	NS
lp_3483	β-Galactosidase, large subunit	0.9	NS
lp_3484	β-Galactosidase, small subunit	0.7	NS
lp_3487	Aldose 1-epimerase	NS	1.0
lp_3525	6-Phospho-β-glucosidase	0.8	NS
lp_3589	Pyruvate oxidase	1.0	NS
lp_3605	Myo-inositol 2-dehydrogenase	0.9	NS
Purines, pyrimidines, nucleosides, and nucleotides
lp_0242	Nucleoside-diphosphate kinase	1.2	NS
lp_2374	Uracil phosphoribosyltransferase	NS	1.1
lp_2591	Purine nucleosidase	0.9	1.0
lp_2697	Orotate phosphoribosyltransferase	−0.9	2.6
lp_2698	Orotidine-5′-phosphate decarboxylase	−0.9	2.3
lp_2699	Dihydroorotate oxidase	−0.8	2.2
lp_2700	Carbamoyl-phosphate synthase, pyrimidine-specific, large chain	−1.1	2.6
lp_2702	Dihydroorotase	−1.2	3.2
lp_2703	Aspartate carbamoyltransferase	NS	2.7
lp_2719	Phosphoribosylamine-glycine ligase	0.7	1.3
lp_2720	Bifunctional protein:phosphoribosylaminoimidazolecarboxamide	0.8	1.2
lp_2721	Phosphoribosylglycinamide formyltransferase	0.7	1.0
lp_2722	Phosphoribosylformylglycinamidine cyclo-ligase	0.9	1.2
lp_2723	Amidophosphoribosyltransferase precursor	0.9	NS
lp_2724	Phosphoribosylformylglycinamidine synthase II	0.9	NS
lp_2725	Phosphoribosylformylglycinamidine synthase I	0.7	NS
lp_2726	Conserved purine biosynthesis cluster protein	1.0	NS
lp_2728	Phosphoribosylaminoimidazole carboxylase, ATPase subunit	0.8	NS
lp_3194	IMP dehydrogenase (fragment)	NS	1.0
lp_3269	Adenylosuccinate lyase	1.9	1.1
lp_3270	Adenylosuccinate synthase	2.6	1.4
lp_3271	GMP reductase	3.4	1.8
Regulatory function
lp_0188	Sucrose operon repressor	2.8	1.9
lp_0836	Regulatory protein Spx	0.8	1.1
lp_1153	Transcription regulator (putative)	NS	1.2
lp_1700	Sensory protein	NS	1.0
lp_2095	Transcription regulator of fructose operon	0.9	NS
lp_2228	Regulatory protein Spx	NS	1.1
lp_2704	Pyrimidine operon regulator	NS	2.0
lp_2800	Transcription regulator (putative)	NS	1.0
Hypothetical protein
lp_0058	Unknown	0.8	NS
lp_0137	Oxidoreductase	NS	1.0
lp_0155	Unknown	0.7	NS
lp_0156	Unknown	0.9	NS
lp_0240	Unknown	0.8	NS
lp_0244	Oxidoreductase	NS	1.3
lp_0260	Unknown	NS	1.3
lp_0320	Unknown	0.9	1.1
lp_0459	Unknown	NS	1.0
lp_0509	Unknown	1.0	1.7
lp_0524	Unknown	NS	1.0
lp_0865	Unknown	0.7	NS
lp_0899	Unknown	0.8	1.3
lp_0927	Unknown	0.8	1.8
lp_0928	Unknown	0.8	1.9
lp_0934	Unknown	NS	1.3
lp_0935	Unknown	NS	1.3
lp_0995	Unknown	NS	1.3
lp_1163	Nucleotide-binding protein, universal stress protein UspA family	NS	1.0
lp_1168	Unknown	1.0	1.0
lp_1395	Unknown	NS	1.1
lp_1521	Oxidoreductase	NS	1.4
lp_1527	Hydrolase, HAD superfamily	0.8	1.2
lp_1566	Unknown	0.8	NS
lp_1577	Unknown	1.3	1.7
lp_1590	Integral membrane protein	NS	1.9
lp_1704	Integral membrane protein	NS	1.2
lp_1706	Integral membrane protein	NS	1.2
lp_1708	Unknown	1.0	1.3
lp_1834	Unknown	1.3	1.1
lp_1872	Unknown	0.7	NS
lp_1880	Unknown	1.1	1.1
lp_1972	Unknown	0.7	1.1
lp_2755	Integral membrane protein (putative)	0.7	1.2
lp_2113	Unknown	0.9	1.2
lp_3243	Unknown	0.7	1.3
lp_3250	Unknown	1.2	1.2
lp_3318	Oxidoreductase	1.2	NS
lp_3433	Unknown	NS	1.1
lp_3489	Oxidoreductase	0.7	NS
lp_3577	Integral membrane protein	NS	1.6
Cellular processes
lp_0129	Small heat shock protein	NS	1.0
lp_0355	Cell division protein Suf1	0.8	1.1
lp_0929	Alkaline shock protein	0.8	1.8
lp_0930	Alkaline shock protein	0.7	2.1
lp_1701	Nucleotide-binding protein, universal stress protein UspA family	NS	1.0
lp_1747	Nucleotide-binding protein, universal stress protein UspA family	NS	1.3
lp_2323	Thiol peroxidase	NS	1.1
lp_2544	NADH peroxidase	0.9	1.1
lp_2668	Small heat shock protein	0.7	1.6
lp_3128	Stress induced DNA binding protein	1.0	2.1
lp_3352	Small heat shock protein	NS	1.2
lp_3578	Catalase	NS	1.1
Biosynthesis of cofactors, prosthetic groups, and carriers
lp_2270	Thioredoxin	NS	1.1
lp_2633	Thioredoxin H-type	NS	1.2
lp_2771	Nicotinate phosphoribosyltransferase	1.0	2.8
Protein synthesis
lp_0737	Ribosomal protein S30EA	1.4	1.5
lp_1973	Ribosomal protein S21	0.8	1.2
lp_2216	Ribosomal protein S14-2	0.7	1.1
lp_2126	Ribosomal protein S20	0.9	NS
Cell envelope
lp_0304	Extracellular protein	0.9	NS
lp_1697	Extracellular protein	NS	1.2
lp_1812	Lipoprotein precursor (putative)	NS	1.0
lp_1819	Teichoic acid biosynthesis protein	0.7	NS
lp_2200	Penicillin binding protein 2B	NS	1.0
lp_2845	Extracellular protein	0.9	NS
Phage and prophage related functions
lp_0660	Prophage P1 protein 37	NS	1.1
lp_0860	Transposase, fragment	0.8	NS
lp_2441	Prophage P2a protein 16	0.8	NS
lp_2443	Prophage P2a protein 14	NS	1.3
lp_2445	Prophage P2a protein 12	0.8	1.1
lp_2446	Prophage P2a protein 11	0.8	1.2
lp_2447	Prophage P2a protein 10	0.8	1.3
lp_2457	Prophage P2b protein 24	NS	NS
lp_3383	Prophage P3 protein 7, DNA replication	NS	NS
RNA
lp_RNA01		0.7	1.8

^aM F_OD1, log₂(intensity of signal with scFOS at an OD₆₀₀ of 1/intensity of signal with glucose at an OD₆₀₀ of 1).

^bM F_OD1.5, log₂(intensity of signal with scFOS at an OD₆₀₀ of 1.5/intensity of signal with glucose at an OD₆₀₀ of 1).

^cNS, nonsignificantly differentially expressed compared to expression with glucose at an OD₆₀₀ of 1.

TABLE 3.

Genes showing mainly a down-regulation in L. plantarum WCFS1 grown on scFOS at an OD 1 or OD 1.5 versus glucose

Function group and ORF	Description	M FOD1a	M FOD1.5b
Energy metabolism and transport
lp_0230	Mannitol PTS, EIICB	−0.9	−1.1
lp_0329	Acetaldehyde dehydrogenase	−0.7	NSc
lp_0349	Ammonium transport protein	−1.2	NS
lp_0436	Cellobiose PTS, EIIC	−0.9	−1.3
lp_0576	Mannose PTS, EIIC	−5.4	−5.5
lp_0575	Mannose PTS, EIIAB	−4.3	−4.6
lp_0577	Mannose PTS, EIID	−4.2	−3.7
lp_0587	Mannose PTS, EIIB	−0.7	NS
lp_0822	Glutamine-fructose-6-phosphate transaminase (isomerizing)	NS	−1.1
lp_1083	Transketolase	NS	−1.3
lp_1386	Cation efflux protein (putative)	NS	−1.1
lp_1409	Amino acid efflux protein	−0.8	NS
lp_1466	Ferrous iron transport protein B	−0.7	NS
lp_1468	ABC transporter, ATP-binding protein	−0.7	NS
lp_1469	ABC transporter component (putative)	−0.8	NS
lp_1471	NifU-like protein	−0.9	NS
lp_1472	ABC transporter component, iron regulated (putative)	−0.8	NS
lp_1473	Iron chelatin ABC transporter, substrate binding protein (putative)	−0.8	NS
lp_1686	Acyl-CoA thioester hydrolase (putative)	−1.1	−1.3
lp_1921	Transport protein	−0.7	NS
lp_2531	N-Acetylglucosamine and glucose PTS, EIICBA	−0.8	NS
lp_2649	N-Acetylgalactosamine PTS, EIIC	−0.9	−1.0
lp_2650	N-Acetylgalactosamine PTS, EIIB	−1.0	−1.3
lp_2710	Purine transport protein	−0.8	−2.1
lp_2776	d-Serine dehydratase	−0.9	NS
lp_2789	Transport protein	−0.7	NS
lp_2982	Branched-chain amino acid ABC transporter, ATP-binding protein	NS	−1.0
lp_2984	Branched-chain amino acid ABC transporter, permease protein	−0.7	NS
lp_3491	Fumarate reductase, flavoprotein subunit precursor	−0.9	NS
lp_3533	Sugar transport protein	NS	−1.3
lp_3543	Bifunctional protein: transcriptional regulator; PTS, EIIA	−1.7	NS
lp_3665	p-Coumaric acid decarboxylase	NS	−1.0
Fatty acid and phospholipid metabolism
lp_1675	3-Oxoacyl-[acyl-carrier protein] synthase II	−0.9	−2.1
lp_1673	[Acyl-carrier protein] S-malonyltransferase	−0.9	−2.1
lp_1674	3-Oxoacyl-[acyl-carrier protein] reductase	−0.9	−2.1
lp_1678	Acetyl-CoA carboxylase, biotin carboxylase subunit	−0.9	−2.1
lp_1680	Acetyl-CoA carboxylase, carboxyl transferase subunit α	−0.8	−2.0
lp_1672	Acyl carrier protein	−0.9	−2.0
lp_1676	Acetyl-CoA carboxylase, biotin carboxyl carrier protein	−1.0	−2.0
lp_1679	Acetyl-CoA carboxylase, carboxyl transferase subunit β	−0.8	−2.0
lp_1671	3-Oxoacyl-[acyl-carrier protein] synthase III	−0.9	−1.9
lp_1681	Enoyl-[acyl-carrier protein] reductase (NADH)	−0.8	−1.9
lp_1682	Phosphopantetheinyltransferase	−0.8	−1.8
lp_1670	(3R)-Hydroxymyristoyl-[acyl carrier protein] dehydratase	−0.8	−1.7
Regulatory functions
lp_0057	Transcription regulator	−0.9	−1.0
lp_0172	Transcription regulator	−1.1	−1.9
lp_0173	Transcription regulator	NS	−1.0
lp_0435	Transcription regulator	−1.1	−1.9
lp_0788	Central glycolytic gene regulator	−0.7	NS
lp_0836	Regulatory protein Spx	−0.8	−1.2
lp_1685	Transcription regulator	−0.9	−1.4
lp_2651	Transcription regulator	−0.9	−1.3
lp_3506	Transcription regulator	NS	−1.1
Hypothetical protein
lp_0052	Unknown	−1.3	NS
lp_0154	Unknown	0.8	−1.1
lp_0438	Unknown	NS	−1.2
lp_0580	HD superfamily hydrolase	NS	NS
lp_1860	Oxidoreductase	−0.8	−1.2
lp_2276	Unknown	−0.7	NS
lp_3175	Integral membrane protein	NS	−1.0
lp_3256	DegV family protein	NS	−1.1
lp_3501	Unknown	−0.7	NS
Cellular processes
lp_2131	ComE operon protein 1	NS	−1.0
Purines, pyrimidines, nucleosides and nucleotides
lp_1058	Adenylate kinase	NS	−1.0
lp_2585	Nucleotide-disulphide oxidoreductase	−1.0	NS
lp_2728	Phosphoribosylaminoimidazole carboxylase, ATPase subunit	NS	−1.0
lp_3334	Adenine deaminase	NS	−1.7
Biosynthesis of cofactors, prosthetic groups, and carriers
lp_1470	Cysteine desulfurase	−0.8	NS
lp_1480	Molybdopterin precursor synthase MoaA	0.9	−1.2
lp_3492	Thiamin biosynthesis lipoprotein ApbE	−1.0	−1.1
Protein synthesis
lp_0538	Aminoacyl-tRNA hydrolase	−0.7	−1.1
lp_0578	Nonribosomal peptide synthetase NpsA	−1.2	−1.1
lp_1033	Ribosomal protein L3	NS	−1.0
lp_1035	Ribosomal protein L23	NS	−1.0
lp_1036	Ribosomal protein L2	NS	−1.0
lp_1038	Ribosomal protein S19	NS	−1.0
lp_1040	Ribosomal protein S3	NS	−1.3
lp_1041	Ribosomal protein L16	NS	−1.0
lp_1043	Ribosomal protein L29	NS	−1.0
lp_1044	Ribosomal protein S17	NS	−1.1
lp_1045	Ribosomal protein L14	NS	−1.2
lp_1047	Ribosomal protein L5	NS	−1.0
lp_1051	Ribosomal protein L6	NS	−1.2
lp_1055	Ribosomal protein L15	NS	−1.1
lp_1639	tRNA (guanine-N1-)-methyltransferase	NS	−1.1
Amino acid biosynthesis
lp_0256	Cysteine synthase	NS	−1.1
lp_0529	Glutamate N-acetyltransferase	−0.8	NS
lp_1084	Shikimate 5-dehydrogenase	NS	−1.3
lp_1085	Phospho-2-dehydro-3-deoxyheptonate aldolase/chorismate	NS	−1.2
lp_1169	Glutamate dehydrogenase (NAD(P)+)	0.7	NS
lp_2033	Shikimate kinase	NS	−1.2
lp_2034	Prephenate dehydrogenase	NS	−1.4
lp_2035	3-Phosphoshikimate 1-carboxyvinyltransferase	NS	−1.1
lp_2037	Chorismate synthase	NS	−1.0
lp_2551	Histidinol-phosphate aminotransferase	−0.8	−1.1
lp_2553	Phosphoribosyl-AMP cyclohydrolase	−0.9	NS
lp_2556	Phosphoribosylformimino-5-aminoimidazole carboxamideribotide	−1.0	−1.3
lp_2557	Imidazole glycerol phosphate synthase, amidotransferase subunit	−0.8	−1.2
lp_2559	Histidinol dehydrogenase	−0.9	NS
lp_2830	Aspartate ammonia-lyase	−0.9	−1.2
lp_3493	3-Dehydroquinate dehydratase	−1.0	−1.4
lp_3494	Shikimate 5-dehydrogenase	−0.9	−1.2
Cell envelope
lp_1181	Acyltransferase/acetyltransferase	NS	−1.0
lp_2393	Lipoprotein precursor	−1.4	NS
lp_2975	Extracellular protein	NS	−1.2
lp_3093	Muramidase (putative)	−0.7	NS
lp_3393	Cell surface hydrolase, membrane bound (putative)	NS	−1.1
Other categories
lp_1687	GTPase	NS	−1.1

^aM F_OD1, log₂(intensity of signal with scFOS at an OD₆₀₀ of 1/intensity of signal with glucose at an OD₆₀₀ of 1).

^bM F_OD1.5, log₂(intensity of signal with scFOS at an OD₆₀₀ of 1.5/intensity of signal with glucose at an OD₆₀₀ of 1).

^cNS, nonsignificantly differentially expressed compared to expression with glucose at an OD₆₀₀ of 1.

FIG. 4.

Structure of the locus up-regulated in L. plantarum WCFS1 during growth on scFOS, showing the sacK1 (fructokinase; lp_0184), pts1BCA (sucrose PTS EIIBCA; lp_0185), sacA (β-fructofuranosidase; lp_0187), sacR (sucrose operon repressor; lp_0188), and agl2 (α-glucosidase; lp_0189) operons. Black bar, conserved domain of the ROK family; gray bar, helix-turn-helix lactose operon repressor (smart00354); cross-hatched box, periplasmic binding proteins and sugar binding domain of the LacI family (pfam00532).

Genes for two other components of PTSs were activated, namely, the phosphocarrier protein Hpr (lp_1273) and a phosphoenolpyruvate-protein phosphotransferase (lp_1274) at an OD₆₀₀ of 1. Generally, among the genes overexpressed, a large number were involved in carbohydrate metabolism, especially when comparing scFOS at an OD₆₀₀ of 1 to glucose. Among these genes, those encoding pyruvate dehydrogenase (lp_2151-lp_2153) and citrate lyase (lp_1107-lp_1109) were two- to threefold up-regulated at OD₆₀₀s of both 1 and 1.5 with scFOS. Numerous genes encoding hypothetical proteins with unknown function were found differentially expressed with scFOS, the majority being up-regulated. Genes involved in purine, pyrimidine, nucleoside, and nucleotide metabolism were in general highly up-regulated with scFOS at an OD₆₀₀ of 1.5. This may be an effect of growth phase rather than carbohydrate, reflecting induction of nucleotide biosynthesis upon depletion of nucleotide precursors in the growth medium.

Among the down-regulated genes, another set of clustered genes (lp_0576-lp_0577) predicted to code for a mannose PTS was also distinguished, which was 15- to 50-fold differentially expressed. The mannose PTS is known to be a transporter for glucose in lactic acid bacteria (34). Other carbohydrate transporter systems were repressed such as the N-acetylglucosamine PTS, the cellobiose PTS, mannitol PTS, and N-acetylgalactosamine PTS. Genes which were also down-regulated included a large number involved in fatty acid and phospholipid metabolism and in amino acid and protein synthesis. This fact may be explained by a lower requirement to synthesize these materials, since the cells have a lower growth rate when growing on scFOS. Other differentially expressed genes were involved in transcription regulation, cellular processes, and cell envelope and prophage-related functions. Their connection with scFOS metabolism is unknown.

DISCUSSION

In this study, microarray techniques were used to determine genes differentially expressed when L. plantarum WCFS1 was grown in a medium where either scFOS or glucose was the only source of carbohydrate available.

L. plantarum is a facultative heterofermentative bacterium (21). Several studies have reported the utilization of glucose (17, 29). Little information is available, though, on the metabolism of scFOS in lactobacilli. It is known that some, but not all, lactobacilli are able to ferment this oligosaccharide (4, 22). A previous study (22) showed that L. plantarum strains tested were able to utilize scFOS, but the mechanisms were not elucidated. An operon involved in scFOS and FOS metabolism in L. acidophilus 1195 has thus far been described only once (4). This operon is composed of an active transporter (ABC transporter) and a β-fructofuranosidase. The strain was able to utilize both scFOS and FOS.

In this study, growth on scFOS and FOS was first evaluated in a chemically defined medium. L. plantarum WCFS1 was able to grow only with scFOS. This suggested that different enzymes were involved in degradation than those previously described for L. acidophilus 1195 (4). Using microarrays, a group of genes (lp_0184-lp_0189) were found to be likely involved in the transport and degradation of scFOS. The first stages in degradation of scFOS in L. plantarum probably reproduce the pathway for sucrose degradation (Fig. 5). Sucrose itself was unlikely to be responsible for up-regulation of these genes, as only traces of the compounds were detected at the beginning of the fermentation and at an OD₆₀₀ of 1 in the medium with scFOS and was absent from the medium at an OD₆₀₀ of 1.5. Three genes could participate in the degradation: a sucrose PTS, a β-fructofuranosidase, and a fructokinase. The sucrose PTS usually controls uptake of sucrose across the cytoplasmic membrane and its phosphorylation, but like some other PTS systems (2) its specificity may not be absolute and is likely to be able to phosphorylate both sucrose and scFOS, the latter consisting of a core sucrose to which one to three fructose units are linked. However, moieties with a higher DP of scFOS, such as of GF4, seemed to be hardly converted by L. plantarum, possibly because of limitation in this sucrose transporter. These results are in accordance with a previous study which concluded that an scFOS-fermenting Lactobacillus strain consumed rapidly GF2 and GF3 at approximately equal rates but that the GF4 moiety was not depleted (22). Moreover, in the growth medium, no accumulation of mono- or disaccharides was seen, which suggests that the fractions of scFOS used were totally degraded inside the cell. Once the fructooligosaccharide had entered the cells, the β-fructofuranosidase could cleave the β(2→1) bonds between the different glucose or fructose units. β-Fructofuranosidase from L. plantarum is predicted to be intracellular, as lp_0187 contained no known export signal such as a sortase signal (6). β-Fructofuranosidases, in other microorganisms, have been shown to exert the ability to degrade both sucrose and fructooligosaccharides (14, 37). The role of fructokinase could be to phosphorylate fructose units into fructose-6P to enter into the glycolysis pathway. Together, these different enzymes and transport systems could explain how scFOS can enter into the cells and be broken down. In the genome of L. plantarum WCFS1, two other genes code for a sucrose EII compound PTS (lp_3219 and lp_3522), but they were not differentially expressed in the presence of scFOS compared to glucose. At the protein level, the predicted product of lp_187 displayed only 35 and 37% degrees of identity with lp_3219 and lp_3522, respectively. The signal values for lp_3219 were very low, and this gene was likely unexpressed in any of the arrays. lp_3522 was possibly expressed, but not differentially. Recently, an operon with the same constitutive elements (sucrose transporter and a β-fructofuranosidase) was shown to be responsible for the metabolism of scFOS in Bifidobacterium breve (37). This strain was able to grow on a medium with scFOS but did not grow well with FOS derived from inulin. However, the β-fructofuranosidase activity of B. breve was relatively similar towards scFOS and FOS (84 and 69%, respectively). Limitation to FOS degradation might be due to the sucrose transporter, as the β-fructofuranosidase was predicted to be intracellular. Although the sucrose transporter and β-fructofuranosidase from B. breve and those from L. plantarum were not found to be similar (<25% identity), the growth of these two microorganisms on scFOS only could be explained by the limitation due to the sucrose transporter.

FIG. 5.

Enzymes involved in the uptake and degradation of sucrose in L. plantarum WCFS1 with a sucrose PTS, operating also for scFOS degradation.

The sucrose PTS and fructofuranosidase differentially expressed with scFOS seemed to differ in L. plantarum compared to other Lactobacillus strain but had a high similarity with enzymes from Pediococcus spp. strains. It has been suggested that a horizontal gene transfer had occurred for these genes between P. pentosaceus and L. plantarum (30).

Another set of genes affected by scFOS metabolism encoded a pyruvate formate lyase (PFL) and a pyruvate dehydrogenase complex (PDH) (Fig. 6). Pyruvate, the product of glycolysis, is usually mainly reduced to lactate in L. plantarum but can also be converted into other end products, such as acetate (17, 28). Pyruvate in lactobacilli can be converted anaerobically into acetate via PFL or via a PDH (11). Although pdh genes have been identified in the genome sequence of L. plantarum WCFS1, no detectable activity under various growth conditions has been reported so far (12, 20, 24, 29, 42). Acetate was found to be the second major end product after lactate in the medium with scFOS.

FIG. 6.

Visualization using the Sympheny software (Genomatica, Inc.) of some of the enzymes involved in end product formation and differentially expressed by L. plantarum WCFS1 growth with scFOS at an OD of 1. Upward-pointing triangles, enzymes that are up-regulated; downward-pointing triangles, enzymes that are down-regulated; open bars, enzymes that are not differentially expressed. ACALD, acetaldehyde dehydrogenase; ACK4r, acetate kinase; ACTPASE, acetate phosphotransferase; ALCD2x, alcohol dehydrogenase; CITL, citrate lyase; ENO, enolase; LDH-L, l-lactate dehydrogenase; MALLAC, malolactic enzyme; MDH, malate dehydrogenase; ME1x, malic enzyme; PC, pyruvate carboxylase; PGM, phosphoglycerate mutase; PPCK, phoshoenolpyruvate carboxykinase; PPS, phosphoenal pyruvate synthase; PTAr, phosphate acetyl transferase; PYROX, pyruvate oxidase; PYK, pyruvate kinase; PFL, pyruvate formate lyase; PDH, pyruvate dehydrogenase; ac, acetate; accoa, acetyl coenzyme A; actp, acetyl phosphate; cit, citrate; co2, CO₂; etoh, ethanol; for, formate; lac-D, d-lactate; lac-L, l-lactate; mal-L, l-malate; oaa, oxaloacetate; 3pg, 3-phosphoglycerate; 2pg, 2-phosphoglycerate; pep, phosphoenolpyruvate; pry, pyruvate; succ, succinate.

Employing microarrays, it was possible to not only determine the genes possibly responsible for breakdown of fructooligosaccharides but also to identify genes that were down-regulated, compared to growth on glucose. In this experiment, several PTSs and especially a mannose PTS were down-regulated. It is possible that during growth on scFOS, synthesis of enzymes involved in the metabolism of other sugars was negatively regulated, a phenomenon commonly termed carbon catabolite repression (CR). In gram-positive bacteria, catabolite repression has been attributed to a ROK family glucose kinase (25, 44). Here, a conserved domain ROK family (pfam00480) was found in the fructokinase sacK1 (lp_0184), which was up-regulated during growth on scFOS. An important role in overall regulation of sugar uptake and metabolism has also been assigned to the protein Hpr (36), which was up-regulated at an OD₆₀₀ of 1 during growth on scFOS.

Measurement of gene expression using an alternative method, such as Northern blotting, has shown a good correlation with microarray results for L. plantarum WCFS1 (40). Recent comparisons between microarrays from Agilent platforms and quantitative PCR have also shown a good correlation for genome-wide studies (45).

Similar microarray experiments with a Lactobacillus acidophilus strain, on global transcription profiles determined on eight different carbohydrates, have shown that this type of experiment is very effective in identifying the genetic basis for transport and catabolism of carbohydrates (5). It was suggested that transcription of most carbohydrate transporters and hydrolases in this strain was specifically induced by their respective substrates.

To conclude, the main finding of this study was that an association of a sucrose PTS and a β-fructofuranosidase could explain scFOS degradation in this strain of L. plantarum, which to our knowledge has not hitherto been reported for this species. Microarrays were a powerful tool to increase understanding of scFOS metabolism, and the same approach could be exploited with other prebiotics/carbohydrates for microorganisms whose genomes have already been sequenced. The results could warrant interest for further characterization of the biological properties of the enzymes strongly up-regulated with scFOS in L. plantarum.