Skip to main content
Download PDF

Influence of in situ progressive N-terminal is still controversial truncation of glycogen branching enzyme in Escherichia coli DH5α on glycogen structure, accumulation, and bacterial viability

BMC Microbiology volume 15, Article number: 96 (2015) Cite this article

Abstract

Background

Glycogen average chain length (ACL) has been linked with bacterial durability, but this was on the basis of observations across different species. We therefore wished to investigate the relationship between bacterial durability and glycogen ACL by varying glycogen average chain length in a single species. It has been shown that progressive shortening of the N-terminus of glycogen branching enzyme (GBE) leads to a lengthening of oligosaccharide inter-α-1,6-glycosidic chain lengths, so we sought to harness this to create a set of Escherichia coli DH5α strains with a range of glycogen average chain lengths, and assess these strains for durability related attributes, such as starvation, cold and desiccation stress resistance, and biofilm formation.

Results

A series of Escherichia coli DH5α mutants were created with glgB genes that were in situ progressively N-terminus truncated. N-terminal truncation shifted the distribution of glycogen chain lengths from 5-11 DP toward 13-50 DP, but the relationship between glgB length and glycogen ACL was not linear. Surprisingly, removal of the first 270 nucleotides of glgB (glgBΔ270) resulted in comparatively high glycogen accumulation, with the glycogen having short ACL. Complete knockout of glgB led to the formation of amylose-like glycogen containing long, linear α1,4-glucan chains with significantly reduced branching frequency. Physiologically, the set of mutant strains had reduced bacterial starvation resistance, while minimally increasing bacterial desiccation resistance. Finally, although there were no obvious changes in cold stress resistance or biofilm forming ability, one strain (glgBΔ180) had significantly increased biofilm formation in favourable media.

Conclusions

Despite glgB being the first gene of an operon, it is clear that in situ mutation is a viable means to create more biologically relevant mutant strains. Secondly, there was the suggestion in the data that impairments of starvation, cold and desiccation resistance were worse for the strain lacking glgB, though the first of these was not statistically significant. The results provide prima facie evidence linking abiotic stress tolerance with shorter glycogen ACL. However, further work needs to be done, perhaps in a less labile species. Further work is also required to tease out the complex relationship between glycogen abundance and glycogen structure.

Background

Glycogen is a major intracellular carbon and energy reserve in microorganisms, which is normally accumulated when a carbon source is abundant while other nutrients are deficient [1]. It is a hyperbranched homopolysaccharide consisting of only glucosyl residues, which were linked together by α-1,4-glycosidic bonds in linear chains and α-1,6-glycosidic bonds at branching points [1]. Currently, there are more than 50 bacterial species reported to store glycogen [2] and 245 bacterial species harboring the essential genes for glycogen metabolism [3]. The order of these genes in the common glg operon is not always consistent [4] and the precise role for glycogen in bacteria is still not clearly understood [5]. Previous studies have linked glycogen with bacterial starvation survival [6], environmental persistence and transmission [5], and symbiotic performance [7], though its role in bacterial colonization and virulence is still controversial [8-10]. In addition, Pan et al. [11] reported that trehalose synthase (TreS) converts glycogen to trehalose. Chandra et al. [12] also identified a widespread non-classical GlgE pathway, converting trehalose to α-glucan (glycogen). A connection between glycogen and trehalose may extend the function of glycogen to bacterial cold and desiccation resistance due to the protective role of trehalose under these stresses [13,14].

Although the role of glycogen in bacteria is still under investigation, according to a recent review, glycogen structure, specifically average chain length (ACL) – the average number of 1,4-glycosidic-bonded glucosyl units between 1,6-glycosidic- bonded glucosyl units – may play an important role in bacterial durability [3]. However, only a few biological studies and theoretical analyses are currently available to support this proposal [3]. In order to test this hypothesis experimentally, a set of bacterial strains from the same species accumulating glycogen with different ACLs was developed and their performance under a variety of conditions was compared. Five enzymes are considered to be core members of the glycogen metabolic pathway: glycogen synthase (GlgA, EC 2.4.1.21), ADP-glucose pyrophosphorylase (GlgC, EC = 2.7.7.27), glycogen branching enzyme (GBE) (GlgB, EC 2.4.1.18), glycogen phosphorylase (GlgP, EC 2.4.1.1), and glycogen debranching enzyme (GlgX, EC 3.2.1.-) [3,15]. A number of these genes influence bacterial inter-α-1,6-glycosidic chain-length distribution patterns: GlgB, GlgP and GlgX [16,17], and could therefore be starting points toward our aim of varying chain length distributions in a single species. It is known that E. coli GlgP can only act on linear chains longer than 4 glucosyl residues from the non-reducing end [16], while GlgX cleaves short oligosaccharides (up to 4 glucosyl residues) from α-1,6-branching points [17]. Accordingly, glgP-deficient cells accumulate glycogen with longer chain lengths while glgX-deficient cells have more glycogen with short-branched chains [16,17]. However, both glgP and glgX are involved in the glycogen degradation pathway and mutations would make bacterial cells unable to properly utilize glycogen. For example, glgX-deficient Vibrio cholera is observed to die faster under nutrient-limited conditions although more glycogen is accumulated than in the wild type strain [5]. In addition, over-accumulation of glycogen has protective roles against stresses such as low pH and osmotic stresses [5]. Of the other proteins involved in glycogen synthesis/metabolism, inactivation of GlgA leads to the loss of glycogen production [9,18], although a recent study indicated that there is an accessory pathway in E. coli that can utilize maltodextrin to synthesize glycogen in the absence of GlgA [19]. In addition, GlgC has a rate-controlling role by providing ADP-glucose for glycogen synthesis [15]. Thus, both GlgA and GlgC are not suitable for manipulating glycogen structure, leaving GlgB as the prime candidate for modification.

GBE belongs to GH13 family [20] and is involved in two processes: hydrolyzing α-1,4-glycosidic linkages and transferring oligosaccharide chains of mainly 5–16 glucosyl residues to a neighboring α-1,6-position [21]. Modification of the N-terminus of bacterial GBE can provide a practical approach to altering bacterial glycogen ACL quantitatively; an earlier study showed that proteolysis of the first 112 amino acids (AA) of Escherichia coli GBE changes glycogen chain length distribution patterns [22]. Later, Devillers et al. [23] reported that the length of the N-terminus of GBE is positively correlated with the length of the transferred chains. A recent experimental study also revealed that GBE N-terminus is responsible for substrate specificity and glycogen branching pattern by swapping N-terminal domains between Deinococcus geothermalis and Deinococcus radiodurans [20].

To date, all studies [20,23,24] involving the GBE N-terminus have been performed using purified protein and amylose as an artificial substrate, which may not reflect the real situation inside bacteria. To test the function of the N-terminus of GBE, a set of E. coli DH5α mutants with in situ progressive truncation of N-terminus of GBE were constructed. The influence of changing the length of the N-terminus of GBE on glycogen structure and accumulation was assessed. The effect of any changes in glycogen expression on bacterial growth under abiotic stresses, such as starvation, cold and desiccation, were assessed. Biofilm formation was also measured, considering its relationship with polysaccharide formation and bacterial persistence [8,25,26]. To the best of our knowledge, this is the first study of in situ N-terminal truncation of GlgB and its influences on glycogen structure, accumulation, and bacterial durability.

Methods

Bacterial strains, plasmids, and growth conditions

E. coli strains used in this study were as follows

DH5α, DH5α glgBΔ90, DH5α glgBΔ180, DH5α glgBΔ270, DH5α glgBΔ369, DH5α ΔglgB, BL21(DE3), JM109, DB3.1, and Top10 (Additional file 1: Table S1). All bacteria were cultured on agar containing 1×M9 salts (Sigma) supplemented with 1.5% agarose, 0.4% glucose, 0.2% thiamine, 2 mM MgSO4, and 0.1 mM CaCl2 for iodine vapor staining. Luria-Bertani agar plates contained antibiotics at the following concentrations: 100 μg/ml ampicillin, 50 μg/ml of kanamycin, or 25 μg/ml chloramphenicol. Unless otherwise stated, bacteria were cultured at 37°C incubator and shaken at 200 rpm in a rotary shaking incubator.

Construction of in situ glgB mutated strains

Five mutants of E. coli DH5α expressing progressively deleted GBE in the chromosomal position of glgB were constructed (Figure 1A). E. coli DH5α glgBΔ90 (4-90 nucleotides deleted), E. coli DH5α glgBΔ180 (4-180 nucleotides deleted), E. coli DH5α glgBΔ270 (4-270 nucleotides deleted), E. coli DH5α glgBΔ369 (4-369 nucleotides deleted), E. coli DH5α ΔglgB (4-2186 nucleotides deleted). λ-Red recombination system (Plasmids pKD4, pKD46, and pCP20) by Datsenko and Wanner [27] was generously provided by Dr. Harry Sakellaris. Plasmid pKD46 was first transformed into E. coli DH5α. Then, five pairs of primers with 36 nucleotides in 5′ and 3′ regions that correspond to homologous regions in glgB were used to amplify linear PCR products from plasmid pKD4. The list of primers can be found in Additional file 1: Table S2A, and the combinations of primers used for the particular deletion mutants can be found as Additional file 1: Table S2B. All the five linear PCR products had the length of 1.5 kb and contain a kanamycin resistance gene flanked by FRT sites. These linear PCR products were electroporated into competent E. coli DH5α cells carrying pKD46. Recombination catalyzed between the FRT sites and the glgB locus by the lambda red recombinase resulted in the replacement of the wild type glgB chromosomal locus with the deleted variants (Figure 1A).

Figure 1
figure1

GlgB and glgB-mutated strains in their E. coli DH5α genomic context, and the scar sequence left following in situ mutation. A. The five essential glycogen metabolism genes are organized into a single transcriptional unit as glgBXCAP in E. coli DH5α (Montero et al. [44]). For GlgB in E. coli DH5α, four domains have been identified, which are N-terminus, CBM48, α-amylase, and C-terminus. B. P1 and P2 (italic letters) were primers for amplifying linear PCR products from plasmid pKD4. Underlined sequence was FRT site with a palindromic sequence (blue sequences), separated by 12 asymmetric nucleotides. Red italic sequence was a ribosome-binding site and the green italic letters represented start codon for downstream gene expression.

Full size image

Successful homologous recombination into the glgB locus with linear PCR products was verified by the existence of the kanamycin resistance gene in the chromosome. Primers Kt and K2 (Additional file 1: Table S2A) were used for verification [27]. A helper plasmid pCP20 encoding FRT recombinase was introduced into recombined strains, to facilitate the removal of the kanamycin resistance cassette by crossover of FRT sites. To confirm the loss of the kanamycin resistance cassette, flanking primers, FPglgB and RPglgB (Additional file 1: Table S2A), which covered the full glgB region, was used to verify the variation in the length of the locus. Finally, in order to make sure that no point mutations existed in the constructed mutants, PCR-based gene sequencing was done for the glgB-truncated region. Finally, plasmid pCP20 was removed from each of the recombinant strains by culturing at 37°C. Antibiotics sensitivity test was then performed on LB agar plate (100 μg/ml ampicillin) to confirm the loss of the plasmid.

Quantitative reverse transcriptase real time PCR (qRT-PCR)

Expression levels of glgB, glgX, glgC, glgA, glgP were examined by qRT-PCR. Total RNA from stationary phase cells (20 hour) was extracted using the RiboPure™-Bacteria Kit (Invitrogen). Extracted RNA was then digested by DNaseI to reduce the risk of genomic DNA contamination. iScriptTM cDNA synthesis kit (Bio-Rad) was used to synthesize cDNA, following manufacturer’s instructions. Quantitative real-time PCR was set up (total of 20 μL reaction) by mixing RNA template, 2 × SensiFASTTM SYBR&Fluorescein one-step mix, 10 μM forward primer, and 10 μM reverse primer. The PCR was performed in a Rotor-Gene 3000 PCR machine (Corbett Research) for 40 cycles with 2-step cycling, which consisted of denaturation at 95°C for 5 s and annealing at 60°C for 20s, with a final extension at 72°C for 1 minute. Melt curve analysis confirmed the presence of a single product from each PCR reaction (data not shown). The primer pairs used to assess the transcript levels were as follows: glgB was amplified using glgBF and glgBR; glgX was amplified using glgXF and glgXR; glgC was amplified using glgCF and glgCR; glgA was amplified using glgAF and glgAR and glgP was amplified using glgPF and glgPR (Additional file 1: Table S2A). The control gene, cysG, was amplified using cysGF and cysGR (Additional file 1: Table S2A). The relative changes in gene transcription were calculated using the comparative CT method, normalized to the level of cysG transcript. Each set of qRT-PCRs was examined in duplicate and was repeated with at least two independent RNA preparations.

Iodine vapor staining to detect glycogen in bacterial cells

E. coli DH5α strains were cultured in 1 × M9 minimal agar plates for 48 hours before being exposed to iodine vapor for staining to detect glycogen [28,29]. A colony accumulating branched polysaccharide is stained brown while that with linear polysaccharide is stained blue due α-glucan helix complexation with iodine. Each agar plate was exposed to solid iodine flakes in a sealed glass beaker. The bottom of the beaker was heated inside the fume hood for about 1 min on a hot plate to generate iodine vapor. The plates were immediately removed when the colony color changed while the agar was still transparent (generally 30 seconds) to avoid over-staining.

Glycogen extraction

Glycogen was extracted from E. coli DH5α strains by using a modified procedure described by Preiss et al. [30], which works equally well for both the branched molecule, glycogen, and its linear counterpart. E. coli DH5α was cultured in 1L 1 × M9 minimal medium at 37°C with gyratory shaking for 20 h. Cells were harvested by centrifugation at 5,000 × g, 4°C for 10 min (Sorvall, SLA3000). Pellets were resuspended in 20 ml of ice-cold 0.05 M TEA buffer and sonicated on ice for 3 min. Homogenized cell pellets were then centrifuged at 104,000 × g, 4°C for 90 min (Beckman, SW41Ti). Supernatant was discarded and pellets were resuspended in 20 ml MilliQ H2O. The resulting suspension was boiled in a water bath for 5 min to denature all proteins. The suspension was then centrifuged at 18,000 × g (Sorvall) for 10 min. The supernatant (S1) was kept. The precipitate was treated the same way and the new supernatant (S2) was pooled with S1. A 0.1 volume of 50% trichloroacetic acid (TCA) was added to the pooled supernatant (S1 + S2) in order to precipitate other macromolecules (DNA, RNA, and protein, etc.). The solution was placed on ice for 10 min, after which it was centrifuged at 18,000 × g for 10 min. The supernatant was collected and mixed with 1.5 volume of absolute ethanol. Glycogen was precipitated on ice for 20 min, after which it was centrifuged at 18,000 × g for 10 min. To purify the extracted glycogen, the pellet was dissolved in 5 ml MilliQ H2O and 5 ml ice-cold absolute ethanol was added. After incubating the solution at 4°C overnight, it was centrifuged at 18,000 × g for 10 min. The supernatant was discarded and pellet was kept. This wash/precipitation procedure was repeated two more times. Finally, the pellet was dissolved in acetone and left to completely air-dry at 37°C.

Ultraviolet–visible spectroscopy (λ-max scanning)

Following the method of Nakamura et al. [31], 1 mg of glycogen extracted from each of the E. coli DH5α strains was weighed to make a 10 μg/μl glycogen solution. A serial dilution of 150 μL glycogen-iodine solution was prepared and transferred to a 96-well microplate. Blank controls were always kept, along with the test groups, by replacing glycogen solution with dH2O. A microplate reader was used to scan the absorbance of the samples from 350 nm to 700 nm.

Glycogen content assay and comparison with protein content

Glycogen content was assayed for each of the six E. coli DH5α strains along their growth curves in 1×M9 minimal medium (T/G=1:2) with three independent replicates. Procedures were followed as described by Dauvillee et al [17]. Protein content was assayed by reference to a standard curve based on bovine serum albumin (0.25 mg/ml BSA and Coomassie Plus (Bradford)).

Fluorophore-assisted carbohydrate electrophoresis (FACE) and ACL determination

FACE was used to analyze glycogen chain length distribution pattern. Glycogen was debranched as previously described [32]. The samples were dried in vacuo and reducing ends were labeled with the charged fluorophore 8-amino-1,3,6-pyrenetrisulfonic acid (APTS). Capillary electrophoresis was then used to resolve and detect the labeled oligosaccharides by increasing chain length. These procedures were performed according to Morell et al. [33]. The ACL of the glycogen was computed using the formula:

$$ \mathrm{A}\mathrm{C}\mathrm{L}=\frac{{\displaystyle \sum \mathrm{Length}\ \mathrm{of}\ \mathrm{Oligosaccharide}\ \mathrm{C}\mathrm{hain}\times \mathrm{Molar}\ \mathrm{Percentage}}}{100}. $$

Reducing end assay

A maltotriose stock solution (1 mg/ml) was used to construct a maltotriose standard concentration curve (0 to 200 nmol), which was used as a reference for measuring reducing ends of 5 mg glycogen samples. Each sample was debranched as described above. Branching frequency estimation of debranched starch was determined based on a reducing end assay [34] as modified by [35].

Starvation assay

E. coli DH5α strains were cultured in 1 × M9 minimal medium at 37°C for 20 hours with gyratory shaking. Cells were harvested by centrifugation at 5,000 × g for 10 minutes and washed in PBS buffer 3 times. In order to avoid the influence of cell lysis on bacterial starvation survival, cells were diluted 100 times with PBS buffer and left on the bench-top. After 0, 3, 6, 9, 13, and 15 days, colony-forming units (CFUs) for each strain were counted using the Miles and Misra method [36,37]. Two samples were measured for each strain at each time point.

Desiccation assay

The desiccation assay was conducted on each of the E. coli DH5α strains by following the procedures as described in Walsh and Camilli [38], with modifications. In order to dry cells quickly in the laminar flow hood, the cells were concentrated 10 times in PBS buffer. A 15 μl culture aliquot was spread evenly on the lid of a sterile Petri dish and air-dried inside the hood. Samples were obtained at 0, 2, 3, 6, 9 hours by resuspending the dried cells in 1.5 ml PBS buffer. Viable cells were counted as stated above in starvation assay. Four samples were measured for each strain at each time point.

Cold stress assay

Bacterial cultures were prepared the same way as for the desiccation experiments, except that the cell pellets were resuspended in 10 ml PBS buffer instead of being concentrating 10 times. The suspension was serially and aseptically diluted in a hood from 10-1 to 10-8 times by mixing 100 μl diluted culture with 900 μl PBS buffer. Since the original culture and 10-1 diluted culture had too high cell density, we started from 10-2 dilution until 10-7 dilution. Once the plates were dried, plates were wrapped into a sealed plastic bag and stored in a cold room (4°C). For cold viability measurement, plates were taken out of the cold room at day 0, 3, 6, 10, and 13 and incubated at 37°C overnight. The colony forming units were counted and calculated the next day. Each count was repeated 3 times.

Biofilm formation assay

The procedure for biofilm formation ability was sourced from Merritt et al. [39], Narisawa et al. [40], and Burton et al. [41]. Greiner CELLSTAR® 96 well plates (polystyrene, flat bottom with lid, sterile) were used. The E. coli DH5α strains were cultured in LB and 1 × M9 minimal medium (T/G = 1:2). The samples were stained with crystal violet. Results were obtained from three independent replicates.

Results

Construction of in situ N-terminal truncated GlgB in E. coli DH5α

In order to construct bacterial strains with the same genetic background but accumulating differential ACL glycogen, a suite of E. coli DH5α strains with N-terminal progressively truncated GBEs was constructed in situ (Figure 1A). A deletion of 30 to 123 amino acids (AA) was achieved by homologous recombination of pre-designed linear PCR products binding to the glgB gene [27]. In addition, a full glgB knockout strain (E. coli DH5α ΔglgB) was also constructed. Sequencing and alignment of glgB in each E. coli DH5α strain confirmed that no unanticipated mutations existed. However, insertion-deletion recombination leaves a scar sequence upstream of glgB with a new ribosome-binding site (RBS) (Figure 1B), which replaces the original regulatory region.

Influences of N-terminal truncation of glgB on transcription of the glgBXCAP operon

Previously, glycogen metabolism genes in E. coli were considered to form two operons: glgBX and glgCAP [4]. It is now known that glgBXCAP consists of a single transcription unit with a sub-operon promoter within glgC directing the expression of glgAP [42]. Thus, manipulation of glgB may alter the expression, not only of glgB, but also the downstream genes, which can in turn affect glycogen structure and accumulation. In addition, the inserted scar sequence may also have unpredictable effects on glgB expression. Quantitative RT-PCR showed that the glgB, glgX, glgC, glgA, and glgP in all the six E. coli DH5α strains were expressed at 20 h except for the full glgB knockout strain. Expression levels, averaged over the two biological and two technical replicates, normalized to the level of cysG, can be found in Table 1. There was a good correlation between transcription levels over the five genes of the glgBXCAP operon from the WT versus the corresponding genes in each of the mutants: E. coli DH5α glgBΔ90 versus WT (r2 = 0.91), E. coli DH5α glgBΔ180 versus WT (r2 = 0.79), E. coli DH5α glgBΔ270 versus WT (r2 = 0.58), E. coli DH5α glgBΔ369 versus WT (r2 = 0.93) and E. coli DH5α ΔglgB versus WT (r2 = 0.79). The effect of the sub-operon promoter can also been clearly seen in the substantially increased expression of glgC, and to lesser extent, glgA and glgP (Table 1).

Table 1 Level of Gene Express for E. coli DH5α strains, averaged over 2 technical and 2 biological replicates, normalized to the level of cysG
Full size table

Influence of GBE N-terminus on glycogen accumulation

The amount of glycogen accumulation in the six E. coli DH5α was observed through corresponding growth curves (Figure 2). glgB manipulation did not change bacterial growth rates (Figure 2A). Since 1 × M9 (T/G = 1:2) is a minimal medium, bacterial density could only reach a cell density around 0.9-1.0 (OD600). A small peak of glycogen accumulation appeared at the 5th hour for all strains, and corresponded to the early exponential phase. After a further 3 hrs of incubation, glycogen levels dropped to their lowest levels in late exponential phase, presumably because the glucose was more needed for growth than glycogen accumulation. After reaching stationary phase at 9 hrs, glycogen accumulation was maintained for another 10 hrs.

Figure 2
figure2

Growth of E. coli DH5α strains in 1 × M9 minimal media (T/G = 1:2) and corresponding glycogen accumulation. A. Cell density is plotted against time averaged over four independent OD600 readings. B. Glycogen accumulation is expressed as ratio of glucose to protein amount over time. Three independent replicates were performed. All data were presented as means ± standard error.

Full size image

Alteration of glycogen structure due to GBE N-terminal truncation

The structure of the glycogen was further assessed using iodine staining and fluorophore-assisted carbohydrate electrophoresis (FACE). Iodine staining is a frequently used method for detecting glycogen content and structure in microorganisms grown on agar plates [17]. The intensity of the stain corresponds with ACL, whereby glycogen with short ACL stains a light-yellow in contrast to glycogen with long ACL which stains dark brown. E. coli DH5α and glgBΔ270 appears as light-yellow colonies while E. coli DH5α glgBΔ90, glgBΔ180, and glgBΔ369 were dark brown. In contrast, E. coli DH5α ΔglgB colonies were stained to dark blue, indicating the presence of amylose-like long linear α1,4-glucan polysaccharide (Additional file 1: Figure S1). λ-max scanning of glycogen-iodine complexes from each isolate over a wavelength range of 350-750 nm confirmed these conclusions (Additional file 1: Table S3) and concurred with previous findings [43]. The highest λ-max value of 585 nm was detected for strain ΔglgB, which is close to the absorbance of long linear α1,4-glucan amylose (~600 nm), as compared to 405 nm for the wild type strain, which is close to the absorbance maximum for glycogen (~420 nm). Thus according to the iodine vapor staining and λ-max scanning results, the N-terminal truncation of GlgB altered the glycogen structure of E. coli DH5α.

FACE was used to compare chain length distributions of isoamylase debranched glycogen from the six E. coli DH5α strains (Figure 3A). No oligosaccharides greater than 49DP were detected in any of the strains except for E. coli DH5α ΔglgB, where no measurements were recorded at all because, consistent with this being an essentially linear, amylose-like α1,4-glucan molecule, the DP had gone out to a chain length which cannot be directly detected by the instrument. The capillary electrophoresis instrument used in this study can typically measure debranched α1,4-glucan from DP6-80 [44]. Hence, the novel long linear chain glycogen synthesized by ΔglgB has elongated to the point that it is already comparable to long linear chain amylopectin and amylose polymers [44], which we refer to here as ‘amylose-like’. This is consistent with the classification based on iodine vapor staining and the reducing end assay (discussed below). A molar difference plot of FACE (Figure 3B), in which the values obtained for the wild type strain are subtracted from those of the mutant strains, was used to determine whether there are any changes to the glycogen structures from the N-terminal deleted GlgB-expressing strains. In order to better understand the FACE results, glycogen ACL (see Table 2) was calculated for each strain, averaged over two independent experiments using the formula provided in the Materials and Methods section. The ACL for WT glycogen was 12.35 DP, standard deviation 0.30 DP. On that basis, 5-11 DP can be characterised as having shorter ACL, while chains 13 DP or greater can be characterised as having longer ACL. A significant reduction in the proportion of shorter chains and an increase in the proportion of longer chains were observed in most of the mutant strains compared to the wild type. The glycogen in glgBΔ90 had 34.1% short chains (versus 52.5% in the wild type strain) and 60.7% long chains (versus 40.4% in the wild type strain). For glycogen in glgBΔ180, the corresponding percentages were 33.7% short chains and 60.8% long chains, while the glycogen in glgBΔ369 had 37.7% short chains and 56.7% long chains. In a complete contrast to these, glycogen from glgBΔ270 had 47.4% short chains and 45.0% long chains which is not that different to the distribution in the wild type glycogen. The similarity between the glycogen from the glgBΔ270 strain and that from the parent, wild type strain is also evident in the molar percentage and molar difference plots.

Figure 3
figure3

Chain length distributions of oligosaccharides in glycogen extracted from the six E. coli DH5α strains. A. Chain length distributions of isoamylase-debranched glycogen, which are expressed as molar percentage (%) in terms of oligosaccharide chain length. B. Difference plot generated by subtracting the molar percentage of the respective WT oligosaccharide DP from the corresponding glgBΔ90, glgBΔ180, glgBΔ270, and glgBΔ369 molar percentages. The experiment was performed twice independently with two repeats for each replicate.

Full size image
Table 2 Average chain length of glycogen extracted from each of E. coli DH5α strains based on FACE data, across 2 biological and, for each of these, 2 technical replicates
Full size table

Reducing end assay of amylose-like ‘glycogen’ from E. coli DH5α ΔglgB demonstrated that the branching frequency in the polysaccharide was significantly reduced and as low as 6.7 nmol of maltotriose equivalent, while the branching frequency in the commercial oyster glycogen is 537.7 nmol of maltotriose equivalent (Additional file 1: Figure S2). This further confirms that the amylose-like glycogen of ΔglgB does not just have significantly longer ACL but it is also significantly less branched hence really comparable in structure to long chain amylopectin or amylose.

Starvation survival assay

To study the influence of GBE N-terminal truncation on E. coli starvation survival, strains were suspended in PBS buffer for 15 days. Colony forming unit counts were recorded to create a starvation survival curve (Figure 4). At day 3, E. coli DH5α wild-type was down to 58.4% of the starting count, but the mutated stains fared considerably worse, with viabilities down to 34.7% (glgBΔ90), 26.0% (glgBΔ180), 30.3% (glgBΔ270), 35.5% (glgBΔ369) and 21.5% (ΔglgB). However, at the day 6 mark all the strains had similar viability to the parent strain (12.6%-16.5% for the mutated strains versus 20.5% for the wild type).

Figure 4
figure4

Starvation survival assay for E. coli DH5α strains in PBS buffer for 15 days. For each strain, two independent replicates were performed. Each replicate includes. four repeats. Viable cells of the six strains drop sharply for the first six days. E. coli DH5α survived better, especially at day 3, than E. coli DH5α ΔglgB from day 0 to 9. The other four strains behaved similar with no obvious difference. After day 6, cells died at a very slow rate. At day 15, the number of colony-forming units (CFU) for the six E. coli DH5α strains converged together.

Full size image

Desiccation resistance

Since glycogen can be converted to trehalose [12], we considered whether the differences in glycogen structure within the mutants would affect the trehalose production pathway. To test this hypothesis, we investigated desiccation tolerance, which has been shown to be dependent upon trehalose accumulation [13,45]. Both the wild type and mutant strains died rapidly in the first 3 hrs. The wild type strain CFU count was 0.024% of the starting value. The mutated strains had similar counts. The counts halved again in the next 6 hours. More importantly, there was little difference between wild type and most of the mutated strains, though ΔglgB fared worse than the other strains, most clearly at the 6 hr time point (Figure 5)

Figure 5
figure5

Desiccation survival abilities of E. coli DH5α strains. Counts of colony-forming units (CFU) are plotted for each strain at time point 0 h, 3 h, and 6 h. Two independent biological replicates were performed for each strain at each time point. For each replicate, four technical repeats were included.

Full size image

.

Cold stress assay

The situation with the desiccation stress assay was mirrored in the cold stress assay, with all the strains dying rapidly, though once again ΔglgB fared worse than the other strains at the 6 hr time point despite starting with a greater CFU count at the outset. The glgBΔ369 strain also showed this pattern (Additional file 1: Figure S5).

Biofilm formation assay

Two types of media, LB and 1 × M9 minimal medium (T/G = 1:2), were used for comparison. For E. coli DH5α strains cultured in 1 × M9 minimal medium no significant difference was observed among the strains (data not shown). On the other hand, comparison of LB and 1 × M9 minimal medium (T/G = 1:2) showed that LB broth greatly improves bacterial biofilm formation abilities, though this is to be expected given the nature of the two media. Overall, the biofilm forming abilities of wild type E. coli DH5α and the ΔglgB strain were not significantly different (given experimental errors), across 3 repeats involving 2 different media. However, point for point across the three experiments the biofilm forming capabilities of the ΔglgB strain were greater than that of the wild type strain, which is significant based on a two tail binomial distribution statistic. Finally, the most surprising result was that E. coli DH5α glgBΔ180 in LB broth showed a significant increase in biofilm formation (Figure 6).

Figure 6
figure6

Quantification of biofilm formation abilities of E. coli DH5α strains on 96-well polystyrene plates in LB. Crystal violet staining method is used. Findings are expressed as fold changes versus WT based on based on average of three independent replicates. Bacteria in LB broth had enhanced biofilm formation abilities compared to bacteria growing in M9 (T/G = 1:2), where biofilm formation abilities were uniform (including Δ180), but a quarter of the level of that seen for the strains cultured in LB broth (Data not shown).

Full size image

Discussion

The N-terminus of E. coli GBE influences the chain length distribution of glycogen, consistent with the previous in vitro study [23]. However, unlike the earlier in vitro experiment [23], no strong correlation between progressive shortening of N-terminus and gradual increase of transferred oligosaccharide chains was observed. Our results (Figure 3A) showed that glycogen samples from E. coli DH5α glgBΔ90, E. coli DH5α glgBΔ180, and E. coli DH5α glgBΔ369 have similar glycogen chain length distribution patterns (also reflected in similar ACLs in Table 2), while glycogen from E. coli DH5α glgBΔ270 has a distribution pattern that is between the wild type and the other mutant strains, with a reduced percentage of 5-10DP oligosaccharides and increased percentage of 11-26 DP oligosaccharides (Figure 3B). No difference in chain length distribution was observed beyond 26DP between the E. coli DH5α glgBΔ270 and the wild type strain.

The observed difference of chain length distributions caused solely by N-terminal truncated GBEs in in vitro study [23] is probably compensated by enzymes such as GlgP and GlgX in vivo. Chain length distribution patterns of glycogen samples indicate that the six E. coli DH5α strains can be divided into three groups: E. coli DH5α (ACL = 12.13DP) and E. coli DH5α glgBΔ270 (ACL = 12.83DP) form Group 1, E. coli DH5α glgBΔ90 (ACL = 16.33DP), E. coli DH5α glgBΔ180 (ACL = 17.39DP), and E. coli DH5α glgBΔ369 (ACL = 15.23DP) belong to Group 2, and finally E. coli DH5α ΔglgB (ACL not available due to its linear structure) forms Group 3.

In this study, we confirm that, apart from glycogen content, glycogen structure also has an impact on iodine staining (Additional file 1: Figure S1). An earlier study only focused on the relationship between amylose chain length and iodine staining [46], according to which longer chain length leads to absorbance at comparatively higher wavelengths (λ-Max). Iodine vapor staining has frequently been used to detect glycogen content, while glycogen structure (ACL) was largely ignored [16];Lerner, 2009 #1353}, although Dauvillee et al. [17] mentions that iodine staining can provide information about the structure of glycogen or starch. In this study, we showed that λ-Max of glycogen-iodine solution (Additional file 1: Table S3) is related to glycogen ACL (Table 2) with longer ACL generating darker brown colour. Moreover, the classification of E. coli DH5α strains based on iodine vapor staining (Additional file 1: Figure S1) is consistent with the classification by FACE (Figure 3).

Unexpectedly, the strain E. coli DH5α glgBΔ270 exhibited a significant level of GBE activity compared to other mutants. Despite having 39 residues truncated at N-terminus there were minimal changes in chain transfer pattern and substrate preference [47]. It had been assumed that the 39 residues are without specific function. It was also suggested that the activity of GlgB is reduced in proportion to the number of amino acids truncated, based on the study of three truncated GlgBs (GlgBΔ112, Δ121, and Δ171) from M. tuberculosis H37Rv [48]. As mentioned earlier, such a relationship was not observed in the current study, which requires further exploration for an accurate explanation. A potential explanation is that some N-terminal truncations lead to previously unidentified and beneficial foldings for GBE so that it became catalytically more active compared to the other N-terminal truncated GBEs. A recent study also found that four enzymes in deoxyxylulose phosphate pathway (DXP) are highly insoluble, which affects metabolite formation, while increased solubility of enzymes provides a ‘strategy to increase the production of secondary metabolites’ [49]. Thus, N-terminal truncation induced enzyme solubility may be one of reasons for the enzyme’s functional improvement.

Bacterial GBEs can be divided into two groups according to the lengths of their N-terminus [24]. We collected a set of 1035 GBE sequences belonging to different bacterial species from Uniprot database [50] to determine the distribution of GBE lengths, and found that two apparent peaks exist with about 100 AA difference (see Additional file 1: Figure S3). These peaks are in agreement with earlier findings that GBEs can be divided into Group 1 (both N1 and N2 modules present) and Group 2 (only N2 module present), according to the composition of N-terminus [51]. In addition, the N1 module is hypothesized to originate from the duplication of N2 module [51]. Recently the N2 module has been re-annotated as a carbohydrate-binding module (CMB48) [20], while the function of the N1 module is still not clear. Interestingly, the N1 module in E. coli is defined as the first 106 AA residues [24,51]. However, an alignment of the Pfam hidden Markov model (HMM) CMB_48 [52] starts at position 124, suggesting that N1 could span as much as the first 123 AA.

In any case, although a structure has been determined for E. coli GlgB (1m7x) it only starts at residue 113; the full-length protein could not be crystalised and the structure of the N-terminal residues remains undefined [53].

Because the amount of glycogen accumulation is an important factor for bacterial survival [6], the influence of N-terminal truncation of GlgB on glycogen accumulation was also investigated by measuring glycogen content in cells (Figure 2). Growth curves show no significant differences among strains (Figure 2A). Thus, glgB is not essential for bacterial growth [54] because its complete abolition is not lethal. However, the N-terminus of GlgB is involved in glycogen accumulation (Figure 2B). Ranking of glycogen content from high to low amount at 20 h for the six strains is E. coli DH5α glgBΔ270, followed by E. coli DH5α glgBΔ180, E. coli DH5α wild type,E. coli DH5α glgBΔ90, E. coli DH5α glgBΔ369, and E. coli DH5α ΔglgB. A previous report has confirmed that glgB-deficient E. coli accumulates a very low-level of glycogen [55]. By also looking at Table 1 (top row), it is interesting to see that glycogen amount is highest in E. coli DH5α glgBΔ270, which corresponds to the strain with the highest transcription of the corresponding N-truncated gene. E. coli DH5α glgBΔ180 follows this pattern, but then E. coli DH5α glgBΔ90 and wild type E. coli DH5α do not quite follow the pattern and E. coli DH5α glgBΔ369 is out of place with a higher level of expression that E. coli DH5α glgBΔ90 or wild type E. coli DH5α.

The glycogen accumulation ability of E. coli DH5α glgBΔ369 is observed to be comparatively low and very close to that of E. coli DH5α ΔglgB, indicating that GBE in E. coli DH5α glgBΔ369 is less functional compared to other N-terminal truncated strains. Specifically, GBEs in the other three N-terminal truncated strains are only manipulated in N1 module while N2 module could still replace N1 module for essential functions, considering that N1 module is originated from duplication of N2 module. However, for GBE in E. coli DH5α glgBΔ369, both N1 and N2 modules are potentially affected. Thus, no compensation mechanism is available for this truncated GBE. However, since we can still detect chain length distribution for glycogen in this strain, GBE in E. coli DH5α glgBΔ369 still retains some of its branching activity.

Our original purpose was to alter glycogen ACL solely by manipulating GBE N-terminus in order to test the influences of glycogen ACL on bacterial durability in face of abiotic stress. However, by truncating GBE N-terminus, we found that glycogen ACL and accumulation are inter-related, which leads to the difficulty in drawing a definite conclusion about which is the major factors influencing bacterial durability. In our results, we did not see any difference among the four N-terminal truncated strains in terms of starvation resistance (Figure 4). However, compared to the survival rate of the wild type strain, GBE N-terminal truncation damaged bacterial starvation ability. That said, the deletion strain fared worst, suggesting that possessing glycogen, rather than amylose-like polysaccharide, is an advantage. It is intriguing that the highest level of glycogen with comparatively short ACL in E. coli DH5α glgBΔ270 does not show any advantage in starvation survival. For desiccation resistance, E. coli DH5α glgBΔ90, E. coli DH5α glgBΔ180, and E. coli DH5α glgBΔ270 show higher ability than E. coli DH5α (see Figure 5), which may be ascribed to faster degradation of glycogen due to longer glycogen ACLs, though this explanation does not account for glgBΔ270. The released glucose may be used for the synthesis of trehalose for stress protection. Although glycogen ACL in E. coli DH5α glgBΔ369 is also longer than that in E. coli DH5α, the amount of glycogen is much lower in this strain. In addition, glycogen content itself has also been linked with stress resistance ability regardless of the impairment of glycogen degradation pathway [5,25]. High glycogen content results in a significant increase in intracellular water volume, which is beneficial for bacterial desiccation survival [56]. While our studies have shown that N-terminal truncation enhances bacterial desiccation resistance, depending on both glycogen ACL and amount, further investigation is required to tease out the individual effects of glycogen structure and content. Here again, the deletion strain fared worst, a pattern we also noted in the low temperature (4°C) viability assays.

Finally, biofilm formation was assayed across the set of strains. Biofilm formation is widely recognized as an important strategy for bacteria to survive and persist in harsh environmental conditions [26]. Cells are normally enclosed in a polymer matrix consisting of DNA, protein, and polysaccharides [57]. A study of Salmonella enteritidis demonstrated that “biofilm was formed from glycogen cell stores” [8]. A recent study also showed that glgP deficiency compromises biofilm formation of Azospirillum brasilense Sp7 [25]. The global regulatory protein csrA, that is involved in glycogen biosynthesis, is also confirmed to control the formation and dispersal of biofilms in E. coli [58]. Since N-terminal truncation of GlgB changes glycogen ACL and accumulation, we decided to investigate whether GlgB N-terminal truncation has any influence on E. coli DH5α biofilm formation ability. Bacteria in LB broth had enhanced biofilm formation abilities compared to bacteria growing in M9 (T/G = 1:2), where biofilm formation abilities were uniform, but at a quarter of the level of that seen for the strains cultured in LB broth. This is supported by a previous study that showed that glucose inhibition of biofilm formation is common for Enterobacteriaceae genus [59]. In contrast to our observations based on E. coli, a positive correlation between glycogen concentration and biofilm formation has been reported in Salmonella enteritidis SE3934 [8]. Thus, the effects of glucose on biofilm formation seem to vary in different microbial species, though the medium in which the bacteria are grown is clearly a factor. Biofilm forming ability was also uniform across the LB broth experiments, except for E. coli DH5α glgBΔ180, which showed significantly enhanced biofilm formation ability. This is noteworthy, but requires further investigation to determine the underlying mechanisms. However, with the exception of the glgBΔ180 result in LB broth, the fact that the biofilm forming ability of ΔglgB strain was at the same level as the other strains suggests that it is the presence of a long chain polysaccharide that is important for biofilm formation, rather than its structure. One final comment is appropriate at this point: we have, arguably, extracted as much as one can from E. coli DH5α, and now propose that more unequivocal results would have been obtained with a less labile starting species.

Conclusions

Despite glgB being the first gene of an operon, it is clear that in situ mutation is a viable means to create more biologically relevant mutant strains. Secondly, there was the suggestion in the data that impairments of starvation, cold and desiccation resistance were worse for the strain lacking glgB, though the first of these was not statistically significant. The results provide prima facie evidence linking abiotic stress tolerance with shorter glycogen ACL. However, further work needs to be done, perhaps in a less labile species. Further work is required to establish why glgBΔ270 was efficient at producing shorter ACL glycogen, and why the strain glgBΔ180 showed increased ability to form biofilms. Finally, further work is also required to tease out the complex relationship between glycogen abundance and glycogen structure.

Abbreviations

ACL:

Average chain length

FACE:

Fluorophore-assisted carbohydrate electrophoresis

GBE:

Glycogen branching enzyme

References

  1. 1.

    Wilson WA, Roach PJ, Montero M, Baroja-Fernandez E, Munoz FJ, Eydallin G, et al. Regulation of glycogen metabolism in yeast and bacteria. Fems Microbiol Rev. 2010;34(6):952–85.

    PubMed Central  CAS  PubMed  Google Scholar 

  2. 2.

    Preiss J. Glycogen Biosynthesis. In: Schaechter M, editor. Encyclopedia of Microbiology. 3rd ed. Oxford: Elsevier; 2009. p. 145–58.

    Chapter  Google Scholar 

  3. 3.

    Wang L, Wise MJ. Glycogen with short average chain length enhances bacterial durability. Naturwissenschaften. 2011;98(9):719–29.

    Article  CAS  PubMed  Google Scholar 

  4. 4.

    Cho KM, Lim WJ, Math RK, Islam SMA, Hong SJ, Kim H, et al. Comparative analysis of the glg operons of Pectobacterium chrysanthemi PY35 and other prokaryotes. J Mol Evol. 2008;67(1):1–12.

    Article  CAS  PubMed  Google Scholar 

  5. 5.

    Bourassa L, Camilli A. Glycogen contributes to the environmental persistence and transmission of Vibrio cholerae. Mol Microbiol. 2009;72(1):124–38.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  6. 6.

    Strange RE. Bacterial glycogen and survival. Nature. 1968;220(5167):606–7.

    Article  CAS  PubMed  Google Scholar 

  7. 7.

    Henrissat B, Deleury E, Coutinho PM. Glycogen metabolism loss: a common marker of parasitic behaviour in bacteria? Trends Genet. 2002;18(9):437–40.

    Article  CAS  PubMed  Google Scholar 

  8. 8.

    Bonafonte MA, Solano C, Sesma B, Alvarez M, Montuenga L, Garcia-Ros D, et al. The relationship between glycogen synthesis, biofilm formation and virulence in Salmonella enteritidis. Fems Microbiol Lett. 2000;191(1):31–6.

    Article  CAS  PubMed  Google Scholar 

  9. 9.

    Jones SA, Jorgensen M, Chowdhury FZ, Rodgers R, Hartline J, Leatham MP, et al. Glycogen and maltose utilization by Escherichia coli O157:H7 in the mouse intestine. Infect Immun. 2008;76(6):2531–40.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  10. 10.

    McMeechan A, Lovell MA, Cogan TA, Marston KL, Humphrey TJ, Barrow PA. Glycogen production by different Salmonella enterica serotypes: contribution of functional glgC to virulence, intestinal colonization and environmental survival. Microbiology. 2005;151(Pt 12):3969–77.

    Article  CAS  PubMed  Google Scholar 

  11. 11.

    Pan YT, Carroll JD, Asano N, Pastuszak I, Edavana VK, Elbein AD. Trehalose synthase converts glycogen to trehalose. FEBS J. 2008;275(13):3408–20.

    Article  CAS  PubMed  Google Scholar 

  12. 12.

    Chandra G, Chater KF, Bornemann S. Unexpected and widespread connections between bacterial glycogen and trehalose metabolism. Microbiology. 2011;157:1565–72.

    Article  CAS  PubMed  Google Scholar 

  13. 13.

    Kandror O, DeLeon A, Goldberg AL. Trehalose synthesis is induced upon exposure of Escherichia coli to cold and is essential for viability at low temperatures. P Natl Acad Sci USA. 2002;99(15):9727–32.

    Article  CAS  Google Scholar 

  14. 14.

    Reina-Bueno M, Argandona M, Nieto JJ, Hidalgo-Garcia A, Iglesias-Guerra F, Delgado MJ, et al. Role of trehalose in heat and desiccation tolerance in the soil bacterium Rhizobium etli. Bmc Microbiol. 2012;12:207.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  15. 15.

    Ball SG, Morell MK. From bacterial glycogen to starch: understanding the biogenesis of the plant starch granule. Annu Rev Plant Biol. 2003;54:207–33.

    Article  CAS  PubMed  Google Scholar 

  16. 16.

    Alonso-Casajus N, Dauvillee D, Viale AM, Munoz FJ, Baroja-Fernandez E, Moran-Zorzano MT, et al. Glycogen phosphorylase, the product of the glgP gene, catalyzes glycogen breakdown by removing glucose units from the nonreducing ends in Escherichia coli. J Bacteriol. 2006;188(14):5266–72.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  17. 17.

    Dauvillee D, Kinderf IS, Li ZY, Kosar-Hashemi B, Samuel MS, Rampling L, et al. Role of the Escherichia coli glgX gene in glycogen metabolism. J Bacteriol. 2005;187(4):1465–73.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  18. 18.

    Tzvetkov M, Klopprogge C, Zelder O, Liebl W. Genetic dissection of trehalose biosynthesis in Corynebacterium glutamicum: inactivation of trehalose production leads to impaired growth and an altered cell wall lipid composition. Microbiol-Sgm. 2003;149:1659–73.

    Article  CAS  Google Scholar 

  19. 19.

    Park JT, Shim JH, Tran PL, Hong IH, Yong HU, Oktavina EF, et al. Role of Maltose Enzymes in Glycogen Synthesis by Escherichia coli. J Bacteriol. 2011;193(10):2517–26.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  20. 20.

    Palomo M, Kralj S, van der Maarel MJEC, Dijkhuizen L. The unique branching patterns of Deinococcus glycogen branching enzymes are determined by their N-terminal domains. Appl Environ Microbiol. 2009;75(5):1355–62.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  21. 21.

    Guan HLP, Imparl-Radosevich J, Preiss J, Keeling P. Comparing the properties of Escherichia coli branching enzyme and maize branching enzyme. Arch Biochem Biophys. 1997;342(1):92–8.

    Article  CAS  PubMed  Google Scholar 

  22. 22.

    Binderup M, Mikkelsen R, Preiss J. Truncation of the amino terminus of branching enzyme changes its chain transfer pattern. Arch Biochem Biophys. 2002;397(2):279–85.

    Article  CAS  PubMed  Google Scholar 

  23. 23.

    Devillers CH, Piper ME, Ballicora MA, Preiss J. Characterization of the branching patterns of glycogen branching enzyme truncated on the N-terminus. Arch Biochem Biophys. 2003;418(1):34–8.

    Article  CAS  PubMed  Google Scholar 

  24. 24.

    Hilden I, Leggio LL, Larsen S, Poulsen P. Characterization and crystallization of an active N-terminally truncated form of the Escherichia coli glycogen branching enzyme. Eur J Biochem. 2000;267(8):2150–5.

    Article  CAS  PubMed  Google Scholar 

  25. 25.

    Lerner A, Castro-Sowinski S, Lerner H, Okon Y, Burdman S. Glycogen phosphorylase is involved in stress endurance and biofilm formation in Azospirillum brasilense Sp7. Fems Microbiol Lett. 2009;300(1):75–82.

    Article  CAS  PubMed  Google Scholar 

  26. 26.

    Hall-Stoodley L, Costerton JW, Stoodley P. Bacterial biofilms: from the natural environment to infectious diseases. Nat Rev Microbiol. 2004;2(2):95–108.

    Article  CAS  PubMed  Google Scholar 

  27. 27.

    Datsenko KA, Wanner BL. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc Natl Acad Sci USA. 2000;97(12):6640–5.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  28. 28.

    Wilson WA, Wang Z, Roach PJ. Systematic identification of the genes affecting glycogen storage in the yeast Saccharomyces cerevisiae - Implication of the vacuole as a determinant of glycogen level. Mol Cell Proteomics. 2002;1(3):232–42.

    Article  CAS  PubMed  Google Scholar 

  29. 29.

    Salamone PR, Kavakli IH, Slattery CJ, Okita TW. Directed molecular evolution of ADP-glucose pyrophosphorylase. Proc Natl Acad Sci USA. 2002;99(2):1070–5.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  30. 30.

    Preiss J, Greenberg E, Sabraw A. Biosynthesis of Bacterial Glycogen - Kinetic Studies of a Glucose-1-Phosphate Adenylyltransferase (Ec 2.7.7.27) from a Glycogen-Deficient Mutant of Escherichia-Coli-B. J Biol Chem. 1975;250(19):7631–8.

    CAS  PubMed  Google Scholar 

  31. 31.

    Nakamura T, Vrinten P, Hayakawa K, Ikeda J. Characterization of a granule-bound starch synthase isoform found in the pericarp of wheat. Plant Physiol. 1998;118(2):451–9.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  32. 32.

    Ward RM, Gao Q, de Bruyn H, Gilbert RG, Fitzgerald MA. Improved methods for the structural analysis of the amylose-rich fraction from rice flour. Biomacromolecules. 2006;7:866–76.

    Article  CAS  PubMed  Google Scholar 

  33. 33.

    Morell MK, Samuel MS, O'Shea MG. Analysis of starch structure using fluorophore-assisted carbohydrate electrophoresis. Electrophoresis. 1998;19(15):2603–11.

    Article  CAS  PubMed  Google Scholar 

  34. 34.

    Bernfeld P. Amylases, alpha and beta. Method Enzymol. 1955;1:149–58.

    Article  CAS  Google Scholar 

  35. 35.

    Regina A, Kosar-Hashemi B, Ling S, Li ZY, Rahman S, Morell M. Control of starch branching in barley defined through differential RNAi suppression of starch branching enzyme IIa and IIb. J Exp Bot. 2010;61(5):1469–82.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  36. 36.

    Miles AA, Misra SS, Irwin JO. The estimation of the bactericidal power of the blood. J Hyg-Cambridge. 1938;38(6):732–49.

    Article  CAS  Google Scholar 

  37. 37.

    Hedges AJ. Estimating the precision of serial dilutions and viable bacterial counts. Int J Food Microbiol. 2002;76(3):207–14.

    Article  CAS  PubMed  Google Scholar 

  38. 38.

    Walsh RL, Camilli A. Streptococcus pneumoniae Is Desiccation Tolerant and Infectious upon Rehydration. Mbio. 2011;2(3):e00092–00011.

    Article  PubMed Central  PubMed  Google Scholar 

  39. 39.

    Merritt JH, Kadouri DE, O'Toole GA. Growing and analyzing static biofilms. Curr Protoc Microbiol 2005, Chapter 1:Unit 1B 1.

  40. 40.

    Narisawa N, Furukawa S, Ogihara H, Yamasaki M. Estimation of the biofilm formation of Escherichia coli K-12 by the cell number. J Biosci Bioeng. 2005;99(1):78–80.

    Article  CAS  PubMed  Google Scholar 

  41. 41.

    Burton E, Yakandawala N, LoVetri K, Madhyastha MS. A microplate spectrofluorometric assay for bacterial biofilms. J Ind Microbiol Biotechnol. 2007;34(1):1–4.

    Article  CAS  PubMed  Google Scholar 

  42. 42.

    Montero M, Almagro G, Eydallin G, Viale AM, Munoz FJ, Bahaji A, et al. Escherichia coli glycogen genes are organized in a single glgBXCAP transcriptional unit possessing an alternative suboperonic promoter within glgC that directs glgAP expression. Biochem J. 2011;433:107–17.

    Article  CAS  PubMed  Google Scholar 

  43. 43.

    Homerova DBO, Kofroriov O, Reiuchova B, Kormanec J. Disruption of a glycogen-branching enzyme gene, glgB, specifically affects the sporulation associated phase of glycogen accumulation in Streptomyces aureofaciens. Microbiology. 1996;142:1201–8.

    Article  CAS  Google Scholar 

  44. 44.

    Butardo VM, Fitzgerald MA, Bird AR, Gidley MJ, Flanagan BM, Larroque O, et al. Impact of down-regulation of starch branching enzyme IIb in rice by artificial microRNA- and hairpin RNA-mediated RNA silencing. J Exp Bot. 2011;62(14):4927–41.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  45. 45.

    Elbein AD, Pan YT, Pastuszak I, Carroll D. New insights on trehalose: a multifunctional molecule. Glycobiology. 2003;13(4):17R–27R.

    Article  CAS  PubMed  Google Scholar 

  46. 46.

    Fales FW. The linear relationship between iodine staining and average chain-length of the unbranched amyloglucans. Biopolymers. 1980;19(8):1535–42.

    Article  CAS  Google Scholar 

  47. 47.

    Hong SMR, Preiss J. Analysis of the amino terminus of maize branching enzyme II by polymerase chain reaction random mutagenesis. Arch Biochem Biophys. 2001;386(1):62–8.

    Article  CAS  PubMed  Google Scholar 

  48. 48.

    Pal K, Kumar S, Sharma S, Garg SK, Alam MS, Xu HE, et al. Crystal structure of full-length Mycobacterium tuberculosis H37Rv glycogen branching enzyme: insights of N-terminal beta-sandwich in substrate specificity and enzymatic activity. J Biol Chem. 2010;285(27):20897–903.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  49. 49.

    Zhou K ZR, Stephanopoulos G, Too HP. Enhancing solubility of deoxyxylulose phosphate pathway enzymes for microbial isoprenoid production. Microb Cell Factories 2012, 11.

  50. 50.

    UniProt Consortium. Reorganizing the protein space at the Universal Protein Resource (UniProt). Nucleic Acids Research. 2012;40(D1):D71–5.

    Article  Google Scholar 

  51. 51.

    Lo Leggio L, Ernst HA, Hilden I, Larsen S. A structural model for the N-terminal N1 module of E-coli glycogen branching enzyme. Biologia. 2002;57:109–18.

    CAS  Google Scholar 

  52. 52.

    Finn RD, Mistry J, Tate J, Coggill P, Heger A, Pollington JE, et al. The Pfam protein families database. Nucleic Acids Res. 2010;38(Database issue):D211–222.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  53. 53.

    Abad MC, Binderup K, Rios-Steiner J, Arni RK, Preiss J, Geiger JH. The X-ray crystallographic structure of Escherichia coli branching enzyme. J Biol Chem. 2002;277(44):42164–70.

    Article  CAS  PubMed  Google Scholar 

  54. 54.

    Seibold GM, Breitinger KJ, Kempkes R, Both L, Kramer M, Dempf S, et al. The glgB-encoded glycogen branching enzyme is essential for glycogen accumulation in Corynebacterium glutamicum. Microbiol-Sgm. 2011;157:3243–51.

    Article  CAS  Google Scholar 

  55. 55.

    Montero M, Eydallin G, Viale AM, Almagro G, Munoz FJ, Rahimpour M, et al. Escherichia coli glycogen metabolism is controlled by the PhoP-PhoQ regulatory system at submillimolar environmental Mg2+ concentrations, and is highly interconnected with a wide variety of cellular processes. Biochem J. 2009;424:129–41.

    Article  CAS  PubMed  Google Scholar 

  56. 56.

    Folk DGHC, Bradley TJ. Water acquisition and partitioning in Drosophila melanogaster: effects of selection for desiccation-resistance. J Exp Biol. 2001;204:3323–31.

    CAS  PubMed  Google Scholar 

  57. 57.

    Conover MS, Mishra M, Deora R. Extracellular DNA is essential for maintaining Bordetella biofilm integrity on abiotic surfaces and in the upper respiratory tract of mice. Plos One. 2011;6(2):e16861.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  58. 58.

    Jackson DW, Suzuki K, Oakford L, Simecka JW, Hart ME, Romeo T. Biofilm formation and dispersal under the influence of the global regulator CsrA of Escherichia coli. J Bacteriol. 2002;184(1):290–301.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  59. 59.

    Jackson DW, Simecka JW, Romeo T. Catabolite repression of Escherichia coli biofilm formation. J Bacteriol. 2002;184(12):3406–10.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Dr. Harry Sakellaris (Griffith University), Dr. Steve Munyard (University of Western Australia), and Dr. Qiang Lee (University of Western Australia) for helping with E. coli DH5α mutant constructions. We also thank Ms. Suzhi Li (Plant Industry at CSIRO, Canberra) for helping with glycogen extraction and gene sequencing. We acknowledge Ms. Min Huang, Ms. Hong Wang, and Dr. Jixun Luo in Dr. Zhongyi Li’s group (Plant Industry at CSIRO, Canberra) for technical support for glycogen and protein analysis. LW would like to thank Dr. Matthew Morrell for his arrangement of an industrial traineeship at CSIRO for half a year, during which time much of the work described here was carried out. Finally, LW gratefully acknowledges the UWA China Scholarship that funded his studies.

Author information

Affiliations

  1. School of Pathology and Laboratory Medicine, University of Western Australia, Perth, Australia

    Liang Wang & Charlene M Kahler

  2. CSIRO Agriculture Flagship, Canberra, Australia

    Ahmed Regina, Behjat Kosar-Hashemi & Oscar Larroque

  3. International Rice Research Institute, Los Baños, Philippines

    Vito M Butardo Jr

  4. School of Chemistry and Biochemistry, University of Western Australia, Perth, Australia

    Michael J Wise

Authors
  1. Liang Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ahmed Regina
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vito M Butardo Jr
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Behjat Kosar-Hashemi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Oscar Larroque
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Charlene M Kahler
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Michael J Wise
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Michael J Wise.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

LW wrote the paper, designed the experiments, and analyzed the data. AR assisted with the glycogen experimental designs, experiment troubleshooting, and data analysis. VMB assisted with the bacterial viability assays, interpretation of glycogen structure data, and qRT-PCR, growth curve and related data analysis. BK-H assisted with the iodine vapor staining, media optimisation and measurement of glycogen accumulation. OL assisted with the glycogen structure analysis (FACE) experiments (FACE) and systems for sample handling. CK assisted with the mutant construction and manuscript writing. MJW co-wrote the paper, performed additional data analysis and supervised the overall project. All authors read and approved the final manuscript.

Additional file

Additional file 1: Figure S1.

Results of iodine vapor staining of E. coli DH5α colonies growing on M9 minimal agar plates. a-f represent the six E. coli DH5α strains as annotated above. Based on the staining color, we divided the six strains into three groups arbitrarily. a and d belong to group 1 with light yellow-brownish color. b, c, and e are classified as group 2 with dark brownish color. f belongs to group 3 with dark blue color. Figure S2. Comparison of reducing ends in four polysaccharides: amylose, amylopectin, oyster glycogen, and glycogen from full glgB knockout strain E. coli DH5α ΔglgB. Three replicates were performed for each sample. Figure S3. Length distribution of bacterial GBEs. 1035 GBEs were selected from UniProt database under the name of “glycogen branching enzyme” or “1,4-alphaglucan branching enzyme”. Each item was from a unique bacterial species while redundant or fragment sequences were removed manually or by nrdb90.pl. R was used to plot the histogram. Two major GBE groups can be identified in the figure, which shows consistent pattern with the result of Lo Leggio et al [53]. Figure S4. Cold stress (4oC) tolerance assay. Strains were sampled at days 3, 6, 10 and 13, with 3 replicates at each data point. Error bars are +/- 1 standard deviation. Table S1. Bacterial strains used in this study. Table S2A. List of primers used in this study. Table S2B. List of primer pairs for the respective glgB deletion mutant stains. Table S3. Results of λ-max scanning (350 nm-750 nm) of glycogen-iodine solutions.

Rights and permissions

Open Access  This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.

The Creative Commons Public Domain Dedication waiver (https://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Wang, L., Regina, A., Butardo, V.M. et al. Influence of in situ progressive N-terminal is still controversial truncation of glycogen branching enzyme in Escherichia coli DH5α on glycogen structure, accumulation, and bacterial viability. BMC Microbiol 15, 96 (2015). https://doi.org/10.1186/s12866-015-0421-9

Download citation

Keywords

  • Glycogen structure
  • Microbial abiotic stress tolerance

BMC Microbiology

ISSN: 1471-2180

Contact us