Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Linking Bacillus cereus Genotypes and Carbohydrate Utilization Capacity

  • Alicja K. Warda,

    Affiliations TI Food and Nutrition, Wageningen, The Netherlands, Laboratory of Food Microbiology, Wageningen University, Wageningen, The Netherlands, Wageningen UR Food & Biobased Research, Wageningen, The Netherlands

  • Roland J. Siezen,

    Affiliations TI Food and Nutrition, Wageningen, The Netherlands, Center for Molecular and Biomolecular Informatics, RadboudUMC, Nijmegen, The Netherlands, Microbial Bioinformatics, Ede, The Netherlands

  • Jos Boekhorst,

    Affiliations TI Food and Nutrition, Wageningen, The Netherlands, Center for Molecular and Biomolecular Informatics, RadboudUMC, Nijmegen, The Netherlands, NIZO Food Research B.V., Ede, The Netherlands

  • Marjon H. J. Wells-Bennik,

    Affiliations TI Food and Nutrition, Wageningen, The Netherlands, NIZO Food Research B.V., Ede, The Netherlands

  • Anne de Jong,

    Affiliations TI Food and Nutrition, Wageningen, The Netherlands, Department of Molecular Genetics, University of Groningen, Groningen, The Netherlands

  • Oscar P. Kuipers,

    Affiliations TI Food and Nutrition, Wageningen, The Netherlands, Department of Molecular Genetics, University of Groningen, Groningen, The Netherlands

  • Masja N. Nierop Groot,

    Affiliations TI Food and Nutrition, Wageningen, The Netherlands, Wageningen UR Food & Biobased Research, Wageningen, The Netherlands

  • Tjakko Abee

    Affiliations TI Food and Nutrition, Wageningen, The Netherlands, Laboratory of Food Microbiology, Wageningen University, Wageningen, The Netherlands

Linking Bacillus cereus Genotypes and Carbohydrate Utilization Capacity

  • Alicja K. Warda, 
  • Roland J. Siezen, 
  • Jos Boekhorst, 
  • Marjon H. J. Wells-Bennik, 
  • Anne de Jong, 
  • Oscar P. Kuipers, 
  • Masja N. Nierop Groot, 
  • Tjakko Abee


We characterised carbohydrate utilisation of 20 newly sequenced Bacillus cereus strains isolated from food products and food processing environments and two laboratory strains, B. cereus ATCC 10987 and B. cereus ATCC 14579. Subsequently, genome sequences of these strains were analysed together with 11 additional B. cereus reference genomes to provide an overview of the different types of carbohydrate transporters and utilization systems found in B. cereus strains. The combined application of API tests, defined growth media experiments and comparative genomics enabled us to link the carbohydrate utilisation capacity of 22 B. cereus strains with their genome content and in some cases to the panC phylogenetic grouping. A core set of carbohydrates including glucose, fructose, maltose, trehalose, N-acetyl-glucosamine, and ribose could be used by all strains, whereas utilisation of other carbohydrates like xylose, galactose, and lactose, and typical host-derived carbohydrates such as fucose, mannose, N-acetyl-galactosamine and inositol is limited to a subset of strains. Finally, the roles of selected carbohydrate transporters and utilisation systems in specific niches such as soil, foods and the human host are discussed.


Metabolic activity and growth of bacteria requires energy that can be acquired during carbohydrate catabolism. Carbohydrates can be present in nature in complex forms such as polysaccharides including starch, cellulose or glycogen, but also as mono- and disaccharides exemplified by glucose and sucrose. Efficient use of available carbohydrates by microorganisms is determined by the different types of carbohydrate transporters and utilization systems encoded by chromosome- and plasmid-located genes and gene clusters [1,2]. In addition, expression and regulation of sugar utilisation systems can be affected by environmental conditions such as oxygen availability and temperature, and carbon catabolite repression (CCR) [1,3,4].

Systems for carbohydrate uptake and metabolism predicted based on genome analysis can vary significantly between species and strains as shown for Escherichia coli [5], Bacillus subtilis [6], Shewanella spp. [7] and lactic acid bacteria including Lactobacillus plantarum [2,8], Lactobacillus casei [9], Oenococcus oeni [10] and Lactococcus lactis [11]. In gram-positive bacteria, these genes are generally organized in functional gene cassettes or modules, encoding a single or multi-component transporter (1–4 subunits), enzymes for sugar breakdown and a transcriptional regulator, with each cassette (semi)-specific for a certain carbohydrate [2,12,13]. A cassette is a functional unit, and can consist of more than one operon. The presence or absence of entire cassettes can be highly variable, and is thought to reflect adaptation to growth on particular sugar substrates in specific niches such as soil and plant rhizosphere, foods and food processing environments, and the human host [1,13,14]. Often carbohydrate metabolism cassettes are clustered together on the chromosome, in so-called lifestyle or sugar islands associated with colonisation of specific niches such as dairy environments [8,11,13,15]. The deviating base composition of these genomic islands and cassettes suggests their acquisition via horizontal gene transfer [16]. The increasing availability of microbial genome sequences has stimulated comparative analysis of carbohydrate utilisation capacity, on the one hand to optimize performance of fermentation starter bacteria and probiotics, and on the other hand, to understand pathogen behaviour in the environment and inside the host, enabling development of better preservation and control measurements in food processing and clinical settings [12,14,17].

Three main types of carbohydrate transporters can be found in bacteria: ATP-binding cassette (ABC) transporters, permeases and phosphoenol-pyruvate (PEP)-dependent carbohydrate phosphotransferase systems (PTS) that catalyse the transport and phosphorylation of numerous monosaccharides, disaccharides, amino sugars, polyols, and other sugar derivatives. To carry out its catalytic function in sugar transport and phosphorylation, the PTS uses PEP as an energy source and phosphoryl donor. The phosphoryl group of PEP is usually transferred via four distinct proteins (domains) to the transported sugar bound to the respective membrane component(s) (EIIC and EIID) of the PTS [4]. Notably, the PTS have also numerous regulatory roles for example in carbon and nitrogen metabolism, antibiotic resistance, biofilm formation, toxin production and virulence [4,18,19]. Recently sugar acids were shown also to be transported by tripartite ATP-independent periplasmic transporters (TRAPs) [20].

Utilisation of a broad range of carbon and energy resources, either commonly present in the environment or associated with specific niches, can support not only ubiquitous presence but also facilitate transmission and pathogenicity of food-borne pathogens such as Bacillus cereus [21]. The ability to thrive in different environments such as soil, food and food processing environments and human gastrointestinal tract is supported by a range of carbohydrate transport and utilisation systems that indirectly facilitate transmission from these environments to the human gastrointestinal tract.

B. cereus is a representative of the Bacillus cereus sensu lato group comprising seven closely related species of spore formers that are associated with different environments and contain both non-pathogenic and pathogenic bacteria including Bacillus mycoides, Bacillus pseudomycoides, Bacillus weihenstephanensis, Bacillus thuringiensis, Bacillus anthracis, B. cereus, and the recently identified Bacillus cytotoxicus [22,23]. B. cereus sensu lato group members have been classified into one of seven phylogenetic groups introduced by Guinebrettiere et al. [22], according to which B. cereus strains can be found in five of these groups, i.e., group II, III, IV, V and VI, covering a broad range of growth temperatures from 5 to 50°C.

B. cereus is often associated with spices and foods such as rice, cereals and dairy products [21]. Transmission of B. cereus is facilitated by the production of highly stress resistant dormant spores that are triggered to germinate in nutrient-rich conditions via an interplay of (combinations of) germinants and a variety of so-called nutrient germinant receptors [24]. Germination and outgrowth of B. cereus spores into vegetative cells in foods may lead to food spoilage and safety issues [25,26]. The vegetative cells of B. cereus produce toxins in food before the ingestion or in the small intestine leading usually to mild and self-limiting symptoms but in rare instances it can lead to life-threatening situations [27]. B. cereus clinical isolates have been associated with gastrointestinal infections and non-gastrointestinal infections particularly in immune compromised patients or neonates resulting in wound infections, ocular infections and bacteraemia [21,2527]. Genome analysis of selected model strains pointed to B. cereus specialisation in protein metabolism, suggesting that it has adapted towards a symbiotic or parasitic life cycle [25,2830]. B. cereus strains carry genes for utilisation of mono- and disaccharides such as glucose and trehalose [28,31], and polysaccharides such as starch [31]. Moreover performance in selected niches has been associated with transport and metabolism of specific carbohydrates such as glucose-6-phosphate [32].

Despite the putative role of selected carbohydrates in growth and survival in a range of environments, a detailed comparative genotypic and phenotypic analysis that includes multiple genome-sequenced B. cereus strains representing the different phylogenetic groups described by Guinebrettiere et al. [22] has not been reported up to now.

The current study provides an overview of the different types of carbohydrate transporters and utilization systems in 20 newly sequenced B. cereus food isolates and model B. cereus strains ATCC 14579 and ATCC 10987, and links these to metabolic capacity using API tests and/or defined media with selected carbohydrates as carbon and energy sources. Additionally, roles of selected carbohydrate transporters and utilisation systems in specific niches are discussed.

Materials and Methods

Strains used

Twenty B. cereus strains previously isolated from food products and food processing environment (NIZO Culture Collection, Ede, the Netherlands) and two reference strains B. cereus ATCC 14579 and B. cereus ATCC 10987 obtained from the American Type Culture Collection (ATCC) (S1 Table) [33,34] were streaked from -80°C stock on Bacto Brain Heart Infusion (BHI; Beckton Dickinson, Le Point de Claix, France) agar plates and incubated at 30°C overnight to obtain single colonies. Based on Average Nucleotide Identity (ANI typing; [35]) criteria strain B4117 (LJKG00000000.1), was recently re-classified by NCBI as Bacillus mycoides, phenotype information should be included to confirm this.

API growth tests

API 50CH (BioMerieux, France) test was used in combination with API 50CHB/E medium (BioMerieux, France) according to manufacturer’s instruction. Shortly, single colonies were used to inoculate API 50CHB/E medium to a turbidity equivalent of 2 McFarland. Test strips were filled with inoculated medium, incubated at 30°C, and checked for media colour change after 24 and 48 h. For each strain, three independent repetitions were performed.

Defined media growth experiments

Ten ml of BHI was inoculated with a single colony and incubated overnight at 30°C with aeration at 200 rpm. One ml of overnight grown culture was pelleted in a table top centrifuge (4000 rpm, 1 min), washed with Peptone Physiological Salt buffer (PFZ; Tritium Microbiologie, the Netherlands) and resuspended in 1 ml of PFZ. 96-well plates were filled with 20 μl of 10x diluted washed culture and 180 μl of test media. Plates were then transferred into a plate reader (Tecan Infinite F200 Pro, Austria) for incubation at approximately 200 rpm at 30°C. OD595 was measured every 10 min and read outs were used to score for positive or negative growth. Chemically defined Y1 medium [36] was slightly modified by omission of lactic acid and glucose, and lowering glutamate concentration down to 1 mM. The modified medium was supplemented with one of the following carbon sources (final concentrations in mM): glucose (12.5 mM), sodium gluconate (25 mM), glycerol (50 mM), L-fucose (25 mM), glucose-6-phosphate (25 mM), myo-D-inositol (25 mM), and N-acetyl-D-galactosamine (18 mM). Non-supplemented modified medium was used as control. Three technical replicates were performed for each condition.

Comparative genomics

In total, the genomes of 33 B. cereus strains were included in the comparative analysis. Next to the 20 newly sequenced food-spoilage B. cereus strains [33,34] used in the growth experiments, also 13 B. cereus genomes including B. cereus ATCC 14579 and B. cereus ATCC 10987 were obtained from the NCBI-Genbank database ( and compared to each other and to the genome of reference strain Bacillus subtilis 168 (S1 Table). All genomes were (re)annotated using RAST [37] to allow a better comparison of all annotations.

Orthologous groups (OGs; i.e. gene families) in the genomes were determined using OrthoMCL [38]. A database (in MS Excel) was built containing aligned information about the location and length of orthologous genes and proteins (i.e. on which contig and base pair position on the assembled genome it is present) of the newly sequenced and published reference genomes. Moreover, for every OG a multiple sequence alignment was made on te amino acid level using Muscle [39] to facilitate identification of pseudogenes (encoding incomplete proteins).

The carbohydrate utilization systems of B. subtilis 168 listed in the Subtiwiki database (highly curated) [40] were initially used to search for orthologous systems in the B. cereus OG table. Additional genes and systems were found with keyword searches and genome context analysis. Subsequently, selected genes/proteins were manually curated by comparison against sequence databases (using e.g. NCBI-BLASTP;, family/domain databases (using e.g. InterPro [41]), enzyme databases (using e.g. Brenda [42]) and pathway databases (using e.g. KEGG [43]). Gene cassettes and gene synteny were visualized using MGcV (Microbial Genome context Viewer) [44]. Details of the carbohydrate utilization cassettes in the OG database can be found in S2 and S3 Tables.


For the construction of a phylogenetic tree, next to the genomes of 33 B. cereus strains and B. subtilis 168, additional circular reference genomes of 18 strains from the B. cereus sensu lato group were included, i.e. 6 B. anthracis strains, 11 B. thuringiensis strains and 1 B. weinenstephanensis strain. On the basis of an OrthoMCL analysis of all these genomes, all OGs were selected with a single orthologous gene in each of the different genomes. The protein sequences of these core OGs were aligned using Muscle [39] and alignment positions with amino acid differences were selected and stored in a single artificial protein sequence. This protein sequence was used as a basis to generate a whole-genome MLST phylogenetic tree using FastTree [45].

Affiliation of 51 B. cereus sensu lato group strains to the phylogenetic groups (I to VII) proposed by Guinebretière et al. [22] was performed by extraction of panC gene sequences from the OG group and implementing in the online tool (


Genome statistics and phylogeny

The 33 B. cereus genomes were found to contain 1775 core ortholog groups (OGs), i.e., orthologous genes that occur in all genomes only in one copy. A phylogenetic tree was built based on differences in all encoded core proteins derived from 33 B. cereus genomes and an additional 18 reference genomes from the B. cereus sensu lato group and B. subtilis 168 (Fig 1). The phylogenetic clustering of the strains is in line with the phylogenetic division of the B. cereus sensu lato group members based on the panC polymorphism published by Guinebretière [22] and the B. cereus strains of our study were found to belong to groups II, III, IV and VI.

Fig 1. A phylogenetic tree based on the core genome of 20 newly sequenced B. cereus strains used in this study and 31 previously described strains of the B. cereus sensu lato group used for reference purposes; B. subtilis 168 was used as outgroup.

Roman numbers indicate phylogenetic groups defined previously by Guinebretière [22].

Growth experiments

In the API assay, all 22 tested B. cereus strains were found to grow on D-glucose, D-fructose, D-maltose, D-trehalose, N-acetylglucosamine and D-ribose, with the majority of the strains growing on sucrose, arbutin, esculin, salicin, and starch/glycogen. Only some of the strains grew on other carbohydrates, such as, lactose, mannose, galactose, cellobiose, and only B. cereus ATCC 10987 grew on xylose (Fig 2A). Growth studies in aerated defined media showed additional growth on fucose, glycerol, inositol, and gluconate for subsets of strains.

Fig 2. B. cereus carbohydrate utilisation based on growth experiments and genome potential.

(A) B. cereus growth on different carbohydrates as determined by an API 50CHB/E test (*) and/or in defined media (#). Black: positive growth in at least two out of three replicate reactions; grey: positive growth in one out of three replicate reactions or doubtful reaction; white; no growth. (B) B. cereus genome potential. Black: at least one cassette present; white, no cassettes identified. Question marks indicate discrepancies between predicted and experimentally observed phenotypes. Footnote: No colour change (hence no growth) observed for all strains in API 50CHB/E on amygdalin, D-adonitol, arabinose, arabitol, D-fucose, D-lyxose, D-mannitol, D-melezitose, D-melibiose, D-raffinose, D-sorbitol, D-tagatose, D-turanose, dulcitol, erythritol, gentiobiose, gluconate, glycerol, inositol, inulin, L-fucose, L-rhamnose, L-sorbose, L-xylose, methyl-α-D-glucopyranoside, methyl-α-D-mannopyranoside, methyl-β-D-xylopyranoside, potassium 2-ketogluconate, potassium 5-ketogluconate, and xylitol.

Genome mining

The B. cereus genomes were explored for presence of genes and gene cassettes encoding enzymes required for growth on the tested carbohydrates. The carbohydrate utilization systems of B. subtilis 168 listed in the Subtiwiki database (highly curated) were used to search for ortholog systems in the B. cereus OG table, and additional cassettes were identified by keyword searches and manual annotation. The identified cassettes are shown schematically in Fig 3, and the encoded functions are summarized in S2 Table. In general, very few pseudogenes were identified, and hence nearly all carbohydrate utilisation systems are predicted to be functional (details in S3 Table). Most of the pseudogenes were found in the B. cereus ATCC 14579 genome, but since the corresponding genes are functional based on the experimental data, the non-interrupted fragments of the pseudogenes may still be functional. The various B. cereus carbohydrate utilization systems are described below.

Fig 3. Predicted carbohydrate utilization gene cassettes.

(A) PTS transporters. (B) ABC transporters. (C) secondary transporters (permeases). Colour coding for encoded proteins: green, transporters; yellow, intracellular enzymes; light blue, extracellular enzymes; orange, regulators; purple, two-component regulator. * genes with newly predicted function.

Carbohydrates commonly utilised by B. cereus.

All of the 22 tested B. cereus strains grow on glucose (Fig 2) corresponding to the presence of a gene cassette encoding a glucose-specific PTS and a BglG family transcriptional anti-terminator (Fig 3A, Table A in S2 Table). Moreover, all B. cereus genomes harbour a cassette encoding a glucose permease GlcU and a glucose 1-dehydrogenase Gdh (Fig 3C, Table C in S2 Table). In addition, a permease annotated as glucose/mannose:H+ symporter (OG_5022) is present in 5 of the experimentally tested strains and reference strains 03BB102, AH820, and F837_76 (S3 Table).

All B. cereus strains carry four gene cassettes, each encoding a PTS transporter, an enzyme for sugar catabolism, and a transcriptional repressor, specific for transport and utilisation of fructose (fruRKA), trehalose (trePAR), N-acetyl-glucosamine (nagABR) and N-acetyl-muramic acid (MurNAc; murPQR) (Fig 3A, S2 and S3 Tables). Presence of those gene cassettes corresponds with the ability to utilise fructose, trehalose, and N-acetyl-glucosamine by all experimentally validated strains (Fig 2).

Additionally, all tested B. cereus strains grow on maltose, a disaccharide (Fig 2). The two gene cassettes for utilization of maltose present in B. subtilis genomes, malARP and yvdEFGHIJKLM, are absent in the B. cereus genomes. However, there is an equivalent, but different maltose/maltodextrin utilization cassette in all selected B. cereus genomes, encoding a maltose/maltodextrin ABC transporter MalEFGK, two enzymes for degradation of maltose polymers (i.e. an alpha-glucosidase/oligo-1,6-glucosidase, and a neopullulanase/alpha-amylase), and a maltose operon transcriptional regulator MalR (Fig 3B, Table B in S2 and S3 Tables).

Finally, a complete and intact ribose utilization gene cassette rbsRKDACB, encoding an ABC transporter (RbsDACB), a ribokinase RbsK and a ribose operon transcriptional regulator RbsR is present in all B. cereus as well as in all considered B. cereus sensu lato group genomes and B. subtilis 168. All B. cereus strains grow on ribose (Fig 2), with API tests of five strains being not conclusive. The latter observation may be linked to the in general poor readability of the ribose reaction in the API test.

Soil/plant related carbohydrates.

Cellobiose and xylose can function as energy sources and are common components of plant cell walls that due to the plant decay process can be found in soil, while sucrose is a naturally occurring carbohydrate found in many plants.

B. cereus genomes encode four gene cassettes annotated as cellobiose-specific PTS (Fig 3A, Table A in S2 and S3 Tables) with three of these found in all selected B. cereus strains. The fourth putative cellobiose-specific cassette is present only in strains B4082 and AH820, and consists of a PTS transporter, a 6-phospho-beta-glucosidase and a phosphoglycerate mutase. The conserved presence of the first three PTS cassettes in all B. cereus genomes does not correlate with growth in the API test, as only 5 B. cereus strains were positive for growth on cellobiose (Fig 2). This could be explained by incorrect annotation of these PTS. For example, alternative annotations given in NCBI data base are diacetylchitobiose-specific (= glucosamine units) for the first gene cluster, and lichenan-specific (= complex branched glucose polymer) PTS for the second and third gene clusters. The beta-glucoside PTS (bglP, OG_5777) is another candidate for the import of cellobiose (a beta-glucoside), but the bglP gene was found only in B. cereus strains B4077, B4083, B4088, B4117, E33L and FRI_35, which also does not agree with the API growth results on cellobiose. Thus further work is required to elucidate the roles of these clusters in carbohydrate transport and metabolism.

Notably, the previously identified gene cassette for xylose uptake and utilization [31] was found only in ATCC 10987 (and few other B. cereus strains (i.e. FT9, F3162-04) not included in our study) and this was indeed the only strain growing on D-xylose (Fig 2). The corresponding cassette encodes a xylose permease XylP, a xylose isomerase XylA, a xylulose kinase XylB, a xylose 1-epimerase XylE and a ROK family transcription regulator XylR (Fig 3C, Table C in S2 and S3 Tables). The origin of the cassette is not known, but it replaces gene cassettes for nitrate reductase and molybdenum cofactor biosynthesis [28] which are present in that genomic region in all other B. cereus genomes studied here, except strains B4079, B4081 and B4147.

Fourteen B. cereus strains were found to grow on sucrose, whereas 8 strains did not grow (Fig 2). Mols et al. [31] suggested that growth of B. cereus ATCC 14579 on sucrose was linked to a gene cassette composed of a sucrose-specific PTS named SacP, a sucrose-6-phosphate hydrolase SacA, a fructokinase FruC, and a sucrose operon repressor SacR (BC0773-BC0776). The corresponding 4 genes are also present in B. subtilis 168 (but not in a single cassette) and are known to be responsible for growth on sucrose [46]. Indeed an almost perfect correlation was found between the presence of this sucrose utilization cassette in B. cereus strains and their ability to grow on sucrose (13 of 14 strains) (Fig 3A, Table A in S2 Table). Half of the publicly available B. cereus genomes also contain this cassette, suggesting that growth on sucrose is not a rare trait in B. cereus (S3 Table).

Food related carbohydrates.

Bacteria present in soil are commonly transmitted via raw materials of plant (vegetable) or animal (milk, egg, meat) origin into food products. In general, raw materials and final food products are considered nutritious commodities. However, some groups of products may offer limited carbohydrate supplies, for example staple foods contain mainly starch while dairy products contain mainly lactose.

Starch is a polymer of glucose units, and consists of the linear-chain amylose and the branched-chain amylopectin. An analogue of starch, glycogen, has a similar structure to amylopectin, but more extensively branched and compact than starch. There is a glycogen biosynthesis gene cassette glgPADCB present in all B. cereus genomes, however 8 of the B. cereus strains are not able to utilise glycogen and starch (Fig 2). The genome of B. cereus ATCC 14579 contains an alpha-amylase gene (amyS, BC3482, COG0366) which was proposed to support growth on starch [31]. Alpha-amylase (EC breaks down polysaccharides, ultimately yielding maltotriose and maltose from amylose, or maltose and glucose from amylopectin. The presence of the amyS gene (OG_4318) in the B. cereus strains correlates exactly with growth on starch or glycogen, indicating that this is the sole gene responsible for degradation of these polymeric substrates (Fig 2B, S3 Table). Moreover, this gene is absent in the B. cereus genomes available in the public database (strains E33L, FRI_35, NC7401, AH187 and Q1), suggesting that these strains will also not grow on starch/glycogen. The encoded protein AmyS of 513 residues is most likely secreted, since it has a signal peptide and a typical signal peptidase cleavage site (AYA|D). The extracellular degradation of starch or glycogen will lead to release of glucose units which can be accumulated by the maltose and glucose uptake systems and subsequently metabolised as described above.

B. cereus is commonly associated with dairy environments, and therefore we tested for utilisation of lactose, the main carbohydrate present in milk [47]. From our set of isolates, strains B4081 (isolated from Provolone sauce) and B4087 (isolated from pea soup) consistently grow on lactose (Fig 2), corresponding exactly with the presence of a lactose utilization gene cassette lacGEFRABCD in their genomes (Fig 3A). This cassette encodes a lactose PTS (LacEF), a 6-phospho-beta-galactosidase LacG, a lactose operon repressor LacR, a galactose-6P isomerase LacAB, a glucokinase and two enzymes of the tagatose pathway, i.e. tagatose-6-phosphate kinase LacC and tagatose 1,6-bisphosphate aldolase LacD. In both cases, the lactose utilization genes are predicted to be located on a 26–28 kb plasmid, and all encoded proteins are highly similar, suggesting that these 2 strains contain the same lactose plasmid. The 9-kb lactose utilization cassette is located on a 16-kb transposon which is flanked by Tn1546 transposases and resolvases. Parts of this plasmid, but not the lactose cassette, are also present in genomes of other B. cereus strains of this study (data not shown). A BLASTP analysis to the NCBI database shows presence and 100% protein sequence identity of this lactose cassette in B. cereus strains m1293, VD102, VD140, NVH 0075–95, and MHI 86 (S4 Table). The next matches to these proteins are found in Carnobacterium and various Bacilli, with 55–75% amino acid sequence identity, while the corresponding proteins on Lactococcus lactis plasmids have only 45–65% identity.

Notably, only strains B4087 and B4081, though poorly, grow on galactose (Fig 2). We could not find any genes or gene cassettes annotated as specific for uptake of galactose in any B. cereus genome. Since these are the only two strains that also grow on lactose, they may also be able to utilize free galactose via the lactose PTS, as lactose PTS was previously shown to transport galactose, albeit less efficiently in lactococci [48] and streptococci [49,50].

Host related carbohydrates.

Food-borne human pathogens invading the intestinal tract and/or host cells depend on the availability of simple carbohydrates and/or degradation of complex host-associated carbohydrates/polymers, present for example in mucus. Typical host-derived carbohydrates may include fucose, mannose, N-acetyl-galactosamine and inositol [5153].

L-fucose is a sugar present in human milk as building block of oligosaccharides, mucins and other glycoconjugates in the intestinal epithelium [54]. None of the strains grew on D-fucose or L-fucose in the API test, but in the defined medium growth experiments with aeration 8 strains showed growth on L-fucose, while 4 strains showed questionable growth (Fig 2). Fucose transport via a permease, an ABC transporter or a PTS transporter and subsequent utilization have been described in Gram-negative [5557] and Gram-positive bacteria [54,58]. Additionally, extracellular alpha-fucosidases have been characterized from several bacilli [5961], including B. cereus [62]. We identified a cassette comprising 10 genes for fucose utilization (Fig 3B, S3 Table), that includes a fucose ABC transporter FcsBCD, in seven of experimentally verified B. cereus strains and in genomes of Q1, NC7401, and AH187. This cassette encodes an extracellular alpha-L-fucosidase AlfA (Table B in S2 Table), suggesting that fucose can be cleaved from complex oligosaccharides, and then taken up into the cell and metabolized, ultimately to dihydroxyacetone phosphate and lactate, since a lactaldehyde dehydrogenase AldA is also encoded, next to an L-fucose isomerase FcsI, an L-fuculose kinase FcsK, an L-fuculose-6P aldolase FcsA, and a LacI family transcription regulator FcsR. Not all strains caring the complete cassette were able to grow on fucose (Fig 2), while some strains lacking this cassette did grow on fucose, indicating that additional genes may be involved in fucose utilization.

Four B. cereus strains were found to grow on mannose, i.e strains B4077, B4081, B4087, and B4120 (Fig 2). A mannose utilization cassette manRPA is present in genomes of three of those tested strains (B4077, B4081 and B4087) and in genomes of B. cereus strains 03BB102, F837_76, Q1 and in B. subtilis 168. The cassette encodes a mannose-specific PTS transporter ManP, a mannose 6P isomerase ManA and a BglB family transcriptional antiterminator ManR (S2 Table). The manRPA cassette, as well as any other gene cassette annotated as “mannose” utilization, was not found in strain B4120.

A 9-gene cassette iolRTGCADEJB for myo-inositol utilization, orthologous to that of B. subtilis 168, is present in three of the 22 experimentally verified strains B4077, B4082, B4083 and in genomes of B. cereus reference strains 03BB102, AH820, BCM2_134A, CI, E33L (with an additional plasmid-located cassette), F837_76 and FRI_35. None of the strains grew on inositol in the API test, but 11 strains were found to grow in the aerobic growth experiment in defined medium (Fig 2) including two strains harbouring the iol cassette (i.e. B4077, B4082). Therefore there must be an additional cassette for inositol utilization.

Additionally, 8 strains were observed to grow on N-acetyl-galactosamine in aerated medium, while 3 strains showed possible growth (Fig 2). The annotation of most of the genes in a 10-gene cassette (BCE1899-BCE1908 of strain ATCC 10987), previously suggested to be related to growth on tagatose [31], suggests that the actual substrate could be N-acetyl-galactosamine. The cassette encodes a 3-component ABC transporter (putatively for N-acetylhexosamines; OG_9457, OG_6509, OG_6510), and all enzymes required for degradation of N-acetyl-galactosamine via the tagatose pathway to glyceraldehyde-3P (Table B in S2 Table) [63]. However, we find this complete gene cassette only in B. cereus strains B4079, ATCC 10987, E33L, and FRI_35 which does not correlate well with observed growth on N-acetyl-galactosamine. Nevertheless none of the strains grow on tagatose in static conditions (Fig 2), therefore it seems unlikely that this gene cluster is related to growth on tagatose. We found another 14-gene cassette presumably for utilization of the disaccharide Gal-(1->3)-beta-GalNAc (galactose linked to N-acetyl-galactosamine) (Table B in S2 Table). Gal-GalNAc is bound to proteins in mucins (O-linked to Ser/Thr), and can be released by extracellular endo-alpha-N-acetylgalactosaminidases. This cassette is very similar to the cassette described above for utilization of N-acetyl-galactosamine, but it has 2 additional genes encoding extracellular endo-alpha-N-acetyl-galactosaminidases, and a gene encoding an intracellular 1,3-beta-galactosyl-N-acetylhexosamine phosphorylase which cleaves Gal-(1->3)-beta-GalNAc into alpha-D-galactose-1P and N-acetyl-D-galactosamine. This cassette is found in 8 of 22 experimentally verified B. cereus strains and two reference genomes (Q1 and NC7401) (S3 Table), but it could not explain utilisation of Gal-GalNAc nor N-acetyl-galactosamine by strains B4083, B4087, B4118, and B4147.

Recently, a new sugar phosphate uptake system specific for glucose-6-phosphate and fructose-6-phosphate has been described in B. cereus [64]. This 5-gene cassette includes a transporter SpsABC and a two-component sensor system SpsKR which responds to extracellular sugar phosphate levels. The spsA gene was specifically expressed during oral infection of Galleria mellonella [65]. The cassette was found in all the B. cereus genomes, and all but three (B4083, B4117, ATCC 14579) experimentally validated strains were observed to grow on glucose-6-phosphate (Fig 2).

Other carbohydrates.

In B. cereus genomes there are several putative gluconate uptake and utilization systems, based on the gluconate permease GntP. The annotation of these systems suggests that the substrate is gluconate, but it could also be glucuronate or galacturonate, or derivatives of these acids. Orthologs of the gluconate utilization gene cassette gntRKPZ of B. subtilis 168 [66] were found in 8 of 22 experimentally verified strains and in additional 8 genomes (S3 Table). All but one (ATCC 10987) experimentally validated strains belonging to phylogenetic group III carried this cassette encoding a gluconate permease GntP, a gluconate kinase GntK, a 6-phosphogluconate dehydrogenase GntZ, and a gluconate operon repressor GntR. A second cassette (system II), not present in B. subtilis or B. anthracis, is the same as system I but lacks the regulator, and is present in 16 out of 22 experimentally validated strains, mainly not belonging to phylogenetic group III, and five additional genomes (S3 Table). A third cassette (system III) with a gluconate permease GntP is present in all considered B. cereus sensu lato group genomes, but not in B. subtilis. This cassette also encodes a GntR family transcription regulator, a 2-keto-3-deoxygluconate kinase, an amidohydrolase, an aldolase and a pyridoxal phosphate-dependent enzyme, suggesting that this cassette may encode utilization of a derivative of gluconate such as D-glucosaminate. Finally, a fourth 7-gene cassette (system IV) is present in all B.cereus genomes, and next to the gntP, gntK and gntZ genes it contains genes encoding 6-phosphogluconolactonase Pgl, glucose-6-phosphate 1-dehydrogenase, transketolase, and transaldolase (Table C in S2 Table). However, in a few strains, i.e. B. cereus strains B4083, B4088, B4117, and G9842, this cassette lacks both the gntP and transketolase genes, suggesting that this cassette represents a breakdown pathway of glucose-6P via gluconate-6P, and not an uptake system for gluconate.

None of the strains grew on potassium gluconate in the API test, but in the growth experiments with aeration most strains showed growth (Fig 2) suggesting that metabolism of this carbohydrate requires oxygen. Only strains B4083, B4088, and B4155 showed poor or no growth on gluconate. This phenotype correlates best with the gluconate cassette system IV, and therefore this cassette may represent the main gluconate utilization system under these growth conditions.

Arbutin, esculin and salicin are aryl beta-glucosides (or aromatic beta-glucosides), consisting of a glucose moiety linked to an aromatic ring. The B. subtilis 168 genome encompasses 3 genes encoding intracellular (aryl-) phospho-beta-D-glucosidases, i.e. bglA (BSU40110), bglC/yckE (BSU03410), and bglH (BSU39260) [67]. In the B. cereus genomes there is no equivalent of bglA of B. subtilis. The bglC gene (OG_4907) of B. subtilis 168 has one ortholog in 11 B. cereus strains, but it is not part of a sugar utilisation cassette, while a second ortholog of bglC is found only in strains B4082 and AH820 as part of a 7-gene cassette for cellobiose utilization. Finally, B. cereus strains B4077, B4083, B4088, B4117, E33L and FRI_35 carried orthologues of B. subtilis 168 bglPH operon encoding a beta-glucoside-specific PTS system BglP, and an aryl-phospho-beta-D-glucosidase or aryl-6-phospho-beta-glucosidase BglH [68] additionally encoding also a beta-glucoside bgl operon antiterminator BglG. Taken together, there are 14 B. cereus strains that have 1 or 2 genes encoding an aryl-6-phospho-beta-glucosidase. It is not clear what the transporter is for aryl beta-glucosides in these strains, but it is possibly a more general PTS for beta-glucosides, such as for cellobiose (see above for 3 putative PTS cellobiose utilization cassettes). This occurrence of one or more aryl-6-phospho-beta-glucosidases in 12 B. cereus strains correlates almost perfectly with the growth observed on salicin (Fig 2). The only discrepancies correspond to uncertainties in the API test. On the other hand, there are 20 strains that grow on arbutin and esculin, suggesting that there may be an additional system in the other strains which is more specific for arbutin and esculin, but not for salicin.

None of the strains grew on glycerol in the API test, but in the growth experiments with aeration all but three (B4077, B4085, and ATCC 10987) strains showed growth (Fig 2). A glycerol utilization cassette, equivalent to the glpPFKD genes (BSU09270-BSU09300) of B. subtilis 168, was found to be present in all B. cereus genomes. The cassette encodes a glycerol uptake facilitator protein GlpF, a glycerol kinase GlpK, an aerobic glycerol-3-phosphate dehydrogenase GlpD, and a glycerol uptake operon regulator Glp (Table C in S2 Table). Therefore all strains have the potential to grow on glycerol in aerobic conditions.

A glycerol-phosphate uptake system, based on an ABC transporter UgpBEAC, was found in most of B. cereus genomes, but not in strains B4082, B4083, B4088, B4147, 03BB102, and F837_76. Moreover, all B. cereus genomes encode a glycerol-3-phosphate permease (OG_511). However this substrate was not experimentally tested.

Absent sugar utilization systems.

There are a few sugar utilization cassettes of B. subtilis 168 which did not have ortholog cassettes in any of the B. cereus strains. These include the mannitol cassette mtlAFD (BSU03981, BSU03982, BSU03900), the sorbitol/glucitol cassette gutRBP-fruC (BSU06140-BSU06170), the arabinan/arabinose cassette abnA-araABDLMNPQ-apfA (BSU28720-BSU28810), the L-rhamnose cassette rhaAMBR(EW) (BSU31180-BSU31220), and the oligomannoside cassette gmuBACDREFG (BSU05810-BSU05880). In agreement with this lack of genes, the selected B. cereus strains in our study did not grow on mannitol, sorbitol, arabinose or rhamnose (Fig 2).

Orthologs of the levan/fructose-specific PTS system levDEFG of B. subtilis 168 are only found in B. cereus strain E33L on a plasmid. However, the cassette in E33L is much larger (12 genes) and may be specific for breakdown of more complex polysaccharides as levan is a fructose polymer (fructan).


Equipment of ubiquitous food-borne human pathogens such as B. cereus with a broad range of carbohydrate transporter and utilisation systems supports their transmission from soil to host. Comparative analysis of genotypic and phenotypic diversity of carbohydrate utilisation among 20 newly sequenced B. cereus food isolates and B. cereus ATCC 14579 and ATCC 10987 suggests an adaptative metabolic capacity to different environmental niches represented by carbohydrates such as cellobiose or xylose found in soil, starch or lactose in food and dairy products, and fucose and glucose-6-phosphate found in intestinal tracts of animal and human hosts. In addition to such strain-specific features, all the strains could utilise compounds typically reported to support growth of B. cereus such as glucose, fructose, maltose, trehalose, N-acetyl-glucosamine, and ribose [23,69,70].

The diversity in sugars utilised by B. cereus isolates may correspond to the classification of the isolates to four of the phylogenetic groups identified previously by Guinebretière [22] within the B. cereus sensu lato group. For example strains in groups VI and II show a broader substrate utilisation capacity compared to strains belonging to group III. Members of the latter group, with exception of strain B4087, did not grow on glycogen, starch or salicin. In addition, the genomes of these strains lack aryl-6-phospho-beta-glucosidases involved in the utilisation of two other aromatic glucosidases, esculin and arbutin. Notably, strain B4087 displayed a distinctive growth pattern and genome potential compared to the other members of group III. Within group IV, a sub-branch encompassing strains isolated from vegetables (B4080, B4084, B4158), showed limited substrate utilisation. Interestingly, two strains (B4079 and ATCC 10987) representing a sub- branch within group III showed the least carbohydrate utilisation capacity, and both strains originate from spoilage incidents, namely from a retorted can with chocolate beverage and spoiled cheese, respectively.

Carbohydrate uptake in bacteria is mediated by different transport mechanisms including phosphoenol-pyruvate-dependent phosphotransferase systems (PTS systems), ATP-binding transporters (ABC transporters) and secondary transporters (permeases). We searched for transporters and associated metabolic enzymes in the genomes of newly sequenced B. cereus isolates and identified a significant number of new carbohydrate utilisation cassettes. The collective capacity of B. cereus strains to utilise carbohydrates is visualised in Fig 4. Carbohydrate uptake in bacilli occurs mainly by PTS systems as indicated by identification of 15 PTS cassettes in B. cereus genomes (see worksheet PTS systems in S3 Table), while ABC transporters and permeases for carbohydrate uptake contribute with 6 and 11 identified systems, respectively (see worksheet ABC-permeases in S3 Table).

Fig 4. Schematic overview of predicted carbohydrate utilization systems in B. cereus.

For transporters, green indicates a putative ABC transporter; red, a putative PTS transporter; and blue, a putative permease. Star indicates systems present in all 22 strains. Abbreviations used are N-Acetyl-glucosamine (GlcNAc), N-Acetyl-galactosamine (GalNAc), galactose-N-Acetyl-galactosamine (Gal-GalNAc), N-Acetyl-muramic acid (MurNAc), Dihydroxyacetone phosphate (DHA-P).

The possible roles of specific carbohydrate transporter and utilisation systems in transmission of B. cereus from soil, via food processing environments and food, to the host, is discussed below.

The soil environment is rich in chitin, a constituent of insects exoskeletons and cuticles but also fungal cell walls. Chitin is a 1–4 polymer of N-acetyl-glucosamine and by activity of commonly found chitinases, simple amino sugars can be released and become available for soil bacteria [3]. Amino sugars such as N-acetyl-glucosamine and N-acetyl-muramic acid are also the major components of bacterial peptido-glycan. The presence of nagEABR and murRQP cassettes in all tested isolates perfectly correlates with the observed growth on these substrates.

Cellobiose is a catabolite of cellulose degradation, and is therefore also present in soil and decaying vegetation. While all the B. cereus isolates possess three or four cassettes for cellobiose utilisation, only five B. cereus isolates were found to utilise cellobiose in static conditions, which suggests that activation of cellobiose systems is not achieved in most cases. Conceivably, activation of cellobiose uptake and utilisation systems requires specific conditions that remain to be elucidated. In Listeria monocytogenes presence of β-glucosides (cellobiose, salicin but not arbutine) in the environment causes repression of virulence genes via a specific regulatory pathway (involving bvr locus) independent from carbon catabolite repression (CCR) mechanism [71,72] as well as via a CCR mechanism. A specific role for cellobiose in repression of B. cereus enterotoxin production has not been reported up to now.

Notably, growth on xylose, another common plant-derived carbohydrate was only observed for B. cereus ATCC 10987, and this perfectly matched the unique presence of the previously described cassette for xylose utilisation in this strain [28].

Concerning transport and utilisation systems related to food, the capacity to grow on lactose, a common carbohydrate in milk and dairy environment, is restricted to only two of 22 tested B. cereus strains. This is in line with previous observations, that showed limited ability to utilise lactose among B. cereus dairy farm isolates, although prevalence increased along the production chain, reaching 20% lactose-positive strains among B. cereus household milk isolates [47], pointing to the selection and adaptation of the strains in the dairy chain. The two lactose-positive strains in our study contain a lactose utilisation cassette predicted to be on a plasmid. This lactose cassette is also present in genomes of a few other B. cereus strains not included in this study (S4 Table). Similarity with cassettes present in other bacteria is limited, suggesting that mobility of this B. cereus specific lactose cassette may be responsible for the increasing prevalence of lactose-positive strains.

Notably, B. cereus potential to growth on starch was found to depend on the presence of a single gene encoding alpha-amylase, AmyS. This extracellular enzyme degrades starch releasing glucose that can be transported and utilised by one of the glucose uptake systems commonly found in B. cereus strains.

Concomitant with milk or other food products B. cereus can enter the host gastro-intestinal tract and encounter a nutrient-limited and competitive environment. One of the available substrates is fucose, a major component of mucin glycoproteins. Fucose is abundant in the human intestine [73] and is often associated with biologically active molecules such as serum glycoproteins, immunoglobulins, blood group substances, or gastric and submaxillary mucins [61]. Of the 22 tested B. cereus strains, seven contained a fcs fucose utilisation cassette in their genomes, whereas 12 strains showed growth or poor growth on fucose, suggesting the presence of an additional or alternative system. The Fcs system includes extracellular α-L-fucosidase that may liberate fucose from natural substrates e.g. host mucin, but not always from artificial substrates such as p-nitrophenyl or α-L-fucoside as used in our assay. However, several soil isolated Bacilli are able to utilise both categories of substrates by producing more types of α-L-fucosidases [6062]. Although fucose and the fcs system influence Streptococcus pneumoniae virulence [74] and the human gut microbe Bacteroides thetaiotaomicron can harvest monomeric fucose from host Fucα1,2-Galβ-containing structures [73], the role of the Fcs system in B. cereus performance in the intestine and/or pathogenicity remains to be elucidated.

A disaccharide Gal-GalNAc (galactose linked to N-acetyl-galactosamine) is also bound to proteins in mucins. Prior to uptake and utilisation these mucin-bound sugars can be released by endo-alpha-N-acetylgalactosaminidases which are generally found in the human gut. Notably, 8 of the tested B. cereus strains encode this extracellular enzyme. The cassette for Gal-GalNAc utilisation possess also the genes required for utilisation of N-acetyl-galactosamine. Theoretically if GalNAc would be transported into the cell, it could be utilised by those 8 strains. However, that still does not explain growth of 11 of the tested B. cereus strains on GalNAc. Interestingly all but one of the strains utilising GalNAc could also use inositol, and the majority of them could use fucose as well suggesting their adaptation to the gut environment.

Finally, 19 of tested B. cereus strains were shown to utilise glucose-6-phosphate, while genomes of all the strains carry the conserved sugar-phosphate specific spsRKABC cassette [64]. Sugar phosphates can be found in a range of hosts including the perithropic matrix separating food bolus from the mid-gut epithelium cells of insects, possibly facilitating initial multiplication of bacteria in the gut and their persistence, an initial step for host infection [75]. In particular the Sps system was shown to play a role in B. cereus sugar phosphate sensing and uptake during growth in the intestinal environment of Galleria mellonella larvae [64]. Moreover, glucose-6-phosphate was shown to inhibit expression of hlyII, encoding the pore-forming toxin haemolysin II, by activation of HlyIIR in plasmid-curated acrystalliferous B. thuringiensis [32].

Besides the effect of available carbohydrates on the expression of virulence factors, that may facilitate the host infection as well as outcompeting competitive flora, carbohydrates were shown to affect biofilm formation both in gram- positive and gram-negative bacteria [7678]. Formation of biofilms can facilitate colonisation of environmental niches including soil, food-processing environments and host intestine [79]. Roles of the different carbohydrates in B. cereus biofilm formation and virulence remain to be established.

The analysis of complete carbohydrate transporter and utilization cassettes allowed for the prediction of substrate utilization. Particularly for carbohydrate substrates used by only small numbers of strains such as xylose, lactose, mannose, sucrose, starch/glycogen, and salicin, there is an excellent correlation with the presence of the corresponding gene cassettes. Discrepancies between observations and predictions are conceivably due to: i. lack of expression of cassettes in tested conditions, e. g. availability of oxygen, as the number of strains utilising gluconate, L-fucose and inositol was higher in defined, aerated media compared to static API tests; ii. miss-identification of cassettes based on incorrect or incomplete prediction of carbohydrate specificity of transporters; and iii. lack of identification of cassettes e.g. presence of several ABC transporters with unknown specificity and proteins annotated only as “membrane proteins” may function as transporters (e.g. permeases). The latter two points of the genome-mining approach are clearly limitations for the identification of novel sugar utilization pathways which have not been described in literature earlier.

In conclusion, this study provides extensive information on the genetic potential of B. cereus strains as well as the corresponding potential to utilise carbohydrates for growth, reflecting strain diversity and the capacity to occupy different niches including soil, food products as well as intestinal tract of insects and mammals.

Supporting Information

S1 Table. Metadata on Bacillus strains and genomes.


S2 Table. Summary of carbohydrate utilization cassettes and encoded functions.

(A) PTS system cassettes, (B) ABC transporter cassettes, (C) permease cassettes. * genes with newly predicted function.


S3 Table. Annotation of carbohydrate utilization cassettes and their genes in B. cereus genomes.

The information in each cell represents: NCBI accession code or contig number (NODE/scaffold) | locus tag | nt coordinates | number of encoded amino acids. Blue shading indicates putative pseudogenes. * genes with newly predicted function.


S4 Table. B. cereus lactose cassette homology to other species and strains.



The authors would like to thank Antonia Analatou and Tianqi Li for contribution in the preliminary experiments.

Author Contributions

Conceived and designed the experiments: AKW MNNG TA. Performed the experiments: AKW. Analyzed the data: AKW RJS. Contributed reagents/materials/analysis tools: RJS JB MHJWB AdJ OPK. Wrote the paper: AKW RJS JB AdJ MHJWB OPK MNNG TA.


  1. 1. Rohmer L, Hocquet D, Miller SI (2011) Are pathogenic bacteria just looking for food? Metabolism and microbial pathogenesis. Trends Microbiol 19: 341–348. pmid:21600774
  2. 2. Siezen RJ, van Hylckama Vlieg JE (2011) Genomic diversity and versatility of Lactobacillus plantarum, a natural metabolic engineer. Microb Cell Fact 10 Suppl 1: S3. pmid:21995294
  3. 3. Plumbridge J (2015) Regulation of the utilization of amino sugars by Escherichia coli and Bacillus subtilis: same genes, different control. J Mol Microbiol Biotechnol 25: 154–167. pmid:26159076
  4. 4. Deutscher J, Francke C, Postma PW (2006) How phosphotransferase system-related protein phosphorylation regulates carbohydrate metabolism in bacteria. Microbiol Mol Biol Rev 70: 939–1031. pmid:17158705
  5. 5. Luo Y, Zhang T, Wu H (2014) The transport and mediation mechanisms of the common sugars in Escherichia coli. Biotechnol Adv 32: 905–919. pmid:24780155
  6. 6. Saier MH Jr., Goldman SR, Maile RR, Moreno MS, Weyler W, Yang N, et al. (2002) Transport capabilities encoded within the Bacillus subtilis genome. J Mol Microbiol Biotechnol 4: 37–67. pmid:11763970
  7. 7. Rodionov DA, Yang C, Li X, Rodionova IA, Wang Y, Obraztsova AY, et al. (2010) Genomic encyclopedia of sugar utilization pathways in the Shewanella genus. BMC Genomics 11: 494. pmid:20836887
  8. 8. Siezen RJ, Tzeneva VA, Castioni A, Wels M, Phan HT, Rademaker JL, et al. (2010) Phenotypic and genomic diversity of Lactobacillus plantarum strains isolated from various environmental niches. Environ Microbiol 12: 758–773. pmid:20002138
  9. 9. Cai H, Thompson R, Budinich MF, Broadbent JR, Steele JL (2009) Genome sequence and comparative genome analysis of Lactobacillus casei: insights into their niche-associated evolution. Genome Biol Evol 1: 239–257. pmid:20333194
  10. 10. Borneman AR, McCarthy JM, Chambers PJ, Bartowsky EJ (2012) Comparative analysis of the Oenococcus oeni pan genome reveals genetic diversity in industrially-relevant pathways. BMC Genomics 13: 373. pmid:22863143
  11. 11. Siezen RJ, Bayjanov JR, Felis GE, van der Sijde MR, Starrenburg M, Molenaar D, et al. (2011) Genome-scale diversity and niche adaptation analysis of Lactococcus lactis by comparative genome hybridization using multi-strain arrays. Microb Biotechnol 4: 383–402. pmid:21338475
  12. 12. Brumm PJ, De Maayer P, Mead DA, Cowan DA (2015) Genomic analysis of six new Geobacillus strains reveals highly conserved carbohydrate degradation architectures and strategies. Front Microbiol 6: 430. pmid:26029180
  13. 13. Smokvina T, Wels M, Polka J, Chervaux C, Brisse S, Boekhorst J, et al. (2013) Lactobacillus paracasei comparative genomics: towards species pan-genome definition and exploitation of diversity. PLoS One 8: e68731. pmid:23894338
  14. 14. Ceapa C, Lambert J, van Limpt K, Wels M, Smokvina T, Knol J, et al. (2015) Correlation of Lactobacillus rhamnosus genotypes and carbohydrate utilization signatures determined by phenotype profiling. Appl Environ Microbiol 81: 5458–5470. pmid:26048937
  15. 15. Kleerebezem M, Boekhorst J, van Kranenburg R, Molenaar D, Kuipers OP, Leer R, et al. (2003) Complete genome sequence of Lactobacillus plantarum WCFS1. Proc Natl Acad Sci U S A 100: 1990–1995. pmid:12566566
  16. 16. Molenaar D, Bringel F, Schuren FH, de Vos WM, Siezen RJ, Kleerebezem M (2005) Exploring Lactobacillus plantarum genome diversity by using microarrays. J Bacteriol 187: 6119–6127. pmid:16109953
  17. 17. Shelburne SA, Davenport MT, Keith DB, Musser JM (2008) The role of complex carbohydrate catabolism in the pathogenesis of invasive streptococci. Trends Microbiol 16: 318–325. pmid:18508271
  18. 18. Fischbach MA, Sonnenburg JL (2011) Eating for two: how metabolism establishes interspecies interactions in the gut. Cell Host Microbe 10: 336–347. pmid:22018234
  19. 19. Reizer J, Bachem S, Reizer A, Arnaud M, Saier MH Jr., Stulke J (1999) Novel phosphotransferase system genes revealed by genome analysis—the complete complement of PTS proteins encoded within the genome of Bacillus subtilis. Microbiology 145 (Pt 12): 3419–3429. pmid:10627040
  20. 20. Vetting MW, Al-Obaidi N, Zhao S, San Francisco B, Kim J, Wichelecki DJ, et al. (2015) Experimental strategies for functional annotation and metabolism discovery: targeted screening of solute binding proteins and unbiased panning of metabolomes. Biochemistry 54: 909–931. pmid:25540822
  21. 21. Ceuppens S, Boon N, Uyttendaele M (2013) Diversity of Bacillus cereus group strains is reflected in their broad range of pathogenicity and diverse ecological lifestyles. FEMS Microbiol Ecol 84: 433–450. pmid:23488744
  22. 22. Guinebretière MH, Thompson FL, Sorokin A, Normand P, Dawyndt P, Ehling-Schulz M, et al. (2008) Ecological diversification in the Bacillus cereus Group. Environ Microbiol 10: 851–865. pmid:18036180
  23. 23. Guinebretière MH, Auger S, Galleron N, Contzen M, De Sarrau B, De Buyser ML, et al. (2013) Bacillus cytotoxicus sp. nov. is a novel thermotolerant species of the Bacillus cereus Group occasionally associated with food poisoning. Int J Syst Evol Microbiol 63: 31–40. pmid:22328607
  24. 24. Abee T, Nierop Groot MN, Tempelaars M, Zwietering M, Moezelaar R, van der Voort M (2011) Germination and outgrowth of spores of Bacillus cereus group members: diversity and role of germinant receptors. Food Microbiol 28: 199–208. pmid:21315974
  25. 25. Stenfors Arnesen LP, Fagerlund A, Granum PE (2008) From soil to gut: Bacillus cereus and its food poisoning toxins. FEMS Microbiol Rev 32: 579–606. pmid:18422617
  26. 26. Andersson A, Rönner U, Granum PE (1995) What problems does the food industry have with the spore-forming pathogens Bacillus cereus and Clostridium perfringens? Int J Food Microbiol 28: 145–155. pmid:8750663
  27. 27. Dierick K, Van Coillie E, Swiecicka I, Meyfroidt G, Devlieger H, Meulemans A, et al. (2005) Fatal family outbreak of Bacillus cereus—associated food poisoning. J Clin Microbiol 43: 4277–4279. pmid:16082000
  28. 28. Rasko DA, Ravel J, Okstad OA, Helgason E, Cer RZ, Jiang L, et al. (2004) The genome sequence of Bacillus cereus ATCC 10987 reveals metabolic adaptations and a large plasmid related to Bacillus anthracis pXO1. Nucleic Acids Res 32: 977–988. pmid:14960714
  29. 29. Ivanova N, Sorokin A, Anderson I, Galleron N, Candelon B, Kapatral V, et al. (2003) Genome sequence of Bacillus cereus and comparative analysis with Bacillus anthracis. Nature 423: 87–91. pmid:12721630
  30. 30. Anderson I, Sorokin A, Kapatral V, Reznik G, Bhattacharya A, Mikhailova N, et al. (2005) Comparative genome analysis of Bacillus cereus group genomes with Bacillus subtilis. FEMS Microbiol Lett 250: 175–184. pmid:16099605
  31. 31. Mols M, de Been M, Zwietering MH, Moezelaar R, Abee T (2007) Metabolic capacity of Bacillus cereus strains ATCC 14579 and ATCC 10987 interlinked with comparative genomics. Environ Microbiol 9: 2933–2944. pmid:17991024
  32. 32. Guillemet E, Tran SL, Cadot C, Rognan D, Lereclus D, Ramarao N (2013) Glucose 6P binds and activates HlyIIR to repress Bacillus cereus haemolysin hlyII gene expression. PLoS One 8: e55085. pmid:23405113
  33. 33. Krawczyk AO, de Jong A, Eijlander RT, Berendsen EM, Holsappel S, Wells-Bennik MHJ, et al. (2015) Next-Generation Whole-Genome Sequencing of Eight Strains of Bacillus cereus, Isolated from Food. Genome Announc 3: e01480–01415. pmid:26679589
  34. 34. Hayrapetyan H, Boekhorst J, de Jong A, Kuipers OP, Nierop Groot MN, Abee T (2016) Draft genome sequences of eleven Bacillus cereus food isolates. Genome Announc (Accepted for publication).
  35. 35. Federhen S, Rossello-Mora R, Klenk H-P, Tindall BJ, Konstantinidis KT, Whitman WB, et al. (2016) Meeting report: GenBank microbial genomic taxonomy workshop (12–13 May, 2015). Standards in Genomic Sciences 11: 15.
  36. 36. de Vries YP, Hornstra LM, de Vos WM, Abee T (2004) Growth and sporulation of Bacillus cereus ATCC 14579 under defined conditions: temporal expression of genes for key sigma factors. Appl Environ Microbiol 70: 2514–2519. pmid:15066852
  37. 37. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, et al. (2008) The RAST Server: rapid annotations using subsystems technology. BMC Genomics 9: 75. pmid:18261238
  38. 38. Aymerich T, Martin B, Garriga M, Hugas M (2003) Microbial quality and direct PCR identification of lactic acid bacteria and nonpathogenic Staphylococci from artisanal low-acid sausages. Appl Environ Microbiol 69: 4583–4594. pmid:12902246
  39. 39. Edgar RC (2004) MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics 5: 113. pmid:15318951
  40. 40. Florez LA, Roppel SF, Schmeisky AG, Lammers CR, Stulke J (2009) A community-curated consensual annotation that is continuously updated: the Bacillus subtilis centred wiki SubtiWiki. Database (Oxford) 2009: bap012.
  41. 41. Mitchell A, Chang HY, Daugherty L, Fraser M, Hunter S, Lopez R, et al. (2015) The InterPro protein families database: the classification resource after 15 years. Nucleic Acids Res 43: D213–221. pmid:25428371
  42. 42. Schomburg I, Chang A, Ebeling C, Gremse M, Heldt C, Huhn G, et al. (2004) BRENDA, the enzyme database: updates and major new developments. Nucleic Acids Res 32: D431–433. pmid:14681450
  43. 43. Kanehisa M, Goto S (2000) KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res 28: 27–30. pmid:10592173
  44. 44. Overmars L, Kerkhoven R, Siezen RJ, Francke C (2013) MGcV: the microbial genomic context viewer for comparative genome analysis. BMC Genomics 14: 209. pmid:23547764
  45. 45. Price MN, Dehal PS, Arkin AP (2009) FastTree: computing large minimum evolution trees with profiles instead of a distance matrix. Mol Biol Evol 26: 1641–1650. pmid:19377059
  46. 46. Fouet A, Arnaud M, Klier A, Rapoport G (1987) Bacillus subtilis sucrose-specific enzyme II of the phosphotransferase system: expression in Escherichia coli and homology to enzymes II from enteric bacteria. Proc Natl Acad Sci U S A 84: 8773–8777. pmid:3122206
  47. 47. Te Giffel MC, Beumer RR, Granum PE, Rombouts FM (1997) Isolation and characterisation of Bacillus cereus from pasteurised milk in household refrigerators in The Netherlands. Int J Food Microbiol 34: 307–318. pmid:9039575
  48. 48. Neves AR, Pool WA, Solopova A, Kok J, Santos H, Kuipers OP (2010) Towards enhanced galactose utilization by Lactococcus lactis. Appl Environ Microbiol 76: 7048–7060. pmid:20817811
  49. 49. Abranches J, Chen YY, Burne RA (2004) Galactose metabolism by Streptococcus mutans. Appl Environ Microbiol 70: 6047–6052. pmid:15466549
  50. 50. Zeng L, Martino NC, Burne RA (2012) Two gene clusters coordinate galactose and lactose metabolism in Streptococcus gordonii. Appl Environ Microbiol 78: 5597–5605. pmid:22660715
  51. 51. Tailford LE, Crost EH, Kavanaugh D, Juge N (2015) Mucin glycan foraging in the human gut microbiome. Front Genet 6: 81. pmid:25852737
  52. 52. Flint HJ, Scott KP, Duncan SH, Louis P, Forano E (2012) Microbial degradation of complex carbohydrates in the gut. Gut Microbes 3: 289–306. pmid:22572875
  53. 53. Hegedus D, Erlandson M, Gillott C, Toprak U (2009) New insights into peritrophic matrix synthesis, architecture, and function. Annu Rev Entomol 54: 285–302. pmid:19067633
  54. 54. Becerra JE, Yebra MJ, Monedero V (2015) An l-fucose operon in the probiotic Lactobacillus rhamnosus GG is involved in adaptation to gastrointestinal conditions. Appl Environ Microbiol 81: 3880–3888. pmid:25819967
  55. 55. Chen YM, Tobin JF, Zhu Y, Schleif RF, Lin EC (1987) Cross-induction of the L-fucose system by L-rhamnose in Escherichia coli. J Bacteriol 169: 3712–3719. pmid:3301811
  56. 56. Chen YM, Zhu Y, Lin EC (1987) The organization of the fuc regulon specifying L-fucose dissimilation in Escherichia coli K12 as determined by gene cloning. Mol Gen Genet 210: 331–337. pmid:3325779
  57. 57. Chen YM, Zhu Y, Lin EC (1987) NAD-linked aldehyde dehydrogenase for aerobic utilization of L-fucose and L-rhamnose by Escherichia coli. J Bacteriol 169: 3289–3294. pmid:3298215
  58. 58. Higgins MA, Suits MD, Marsters C, Boraston AB (2014) Structural and functional analysis of fucose-processing enzymes from Streptococcus pneumoniae. J Mol Biol 426: 1469–1482. pmid:24333485
  59. 59. Kurimura Y, Tsuji Y, Yamamoto K, Kumagai H, Tochikura T (1995) Efficient production and purification of extracellular 1,2-alpha-L-fucosidase of Bacillus sp. K40T. Biosci Biotechnol Biochem 59: 589–594. pmid:7772822
  60. 60. Tsuji Y, Yamamoto K, Tochikura T (1990) Purification and some properties of a novel alpha-L-fucosidase capable of acting on alpha-(1——6)-L-fucosidic linkages from Bacillus circulans M28. J Biochem 108: 235–240. pmid:2172224
  61. 61. Tsuji Y, Yamamoto K, Tochikura T, Seno T, Ohkubo Y, Yamaguchi H (1990) Purification and characterization of alpha-L-fucosidase from Bacillus circulans grown on porcine gastric mucin. J Biochem 107: 324–330. pmid:1694531
  62. 62. Miura T, Okamoto K, Yanase H (2005) Purification and characterization of extracellular 1,2-alpha-L-fucosidase from Bacillus cereus. J Biosci Bioeng 99: 629–635. pmid:16233842
  63. 63. Zhang H, Ravcheev DA, Hu D, Zhang F, Gong X, Hao L, et al. (2015) Two novel regulators of N-acetyl-galactosamine utilization pathway and distinct roles in bacterial infections. MicrobiologyOpen 4: 983–1000. pmid:26540018
  64. 64. Song F, Peng Q, Brillard J, Buisson C, de Been M, Abee T, et al. (2012) A multicomponent sugar phosphate sensor system specifically induced in Bacillus cereus during infection of the insect gut. FASEB J 26: 3336–3350. pmid:22611084
  65. 65. Fedhila S, Daou N, Lereclus D, Nielsen-LeRoux C (2006) Identification of Bacillus cereus internalin and other candidate virulence genes specifically induced during oral infection in insects. Mol Microbiol 62: 339–355. pmid:16978259
  66. 66. Reizer A, Deutscher J, Saier MH Jr., Reizer J (1991) Analysis of the gluconate (gnt) operon of Bacillus subtilis. Mol Microbiol 5: 1081–1089. pmid:1659648
  67. 67. Setlow B, Cabrera-Hernandez A, Cabrera-Martinez RM, Setlow P (2004) Identification of aryl-phospho-beta-D-glucosidases in Bacillus subtilis. Arch Microbiol 181: 60–67. pmid:14652714
  68. 68. Kruger S, Hecker M (1995) Regulation of the putative bglPH operon for aryl-beta-glucoside utilization in Bacillus subtilis. J Bacteriol 177: 5590–5597. pmid:7559347
  69. 69. Logan NA, Berkeley RC (1984) Identification of Bacillus strains using the API system. J Gen Microbiol 130: 1871–1882. pmid:6432953
  70. 70. Logan NA, Carman JA, Melling J, Berkeley RC (1985) Identification of Bacillus anthracis by API tests. J Med Microbiol 20: 75–85. pmid:3927004
  71. 71. Brehm K, Ripio MT, Kreft J, Vazquez-Boland JA (1999) The bvr locus of Listeria monocytogenes mediates virulence gene repression by beta-glucosides. J Bacteriol 181: 5024–5032. pmid:10438775
  72. 72. Park SF, Kroll RG (1993) Expression of listeriolysin and phosphatidylinositol-specific phospholipase C is repressed by the plant-derived molecule cellobiose in Listeria monocytogenes. Mol Microbiol 8: 653–661. pmid:8332058
  73. 73. Hooper LV, Gordon JI (2001) Glycans as legislators of host-microbial interactions: spanning the spectrum from symbiosis to pathogenicity. Glycobiology 11: 1r–10r. pmid:11287395
  74. 74. Biotechnology advvancesBiotechnology advvancesManzoor I, Shafeeq S, Afzal M, Kuipers OP (2015) Fucose-Mediated Transcriptional Activation of the fcs Operon by FcsR in Streptococcus pneumoniae. J Mol Microbiol Biotechnol 25: 120–128. pmid:26159073
  75. 75. Song F, Peng Q, Brillard J, Lereclus D, Nielsen-LeRoux C (2014) An insect gut environment reveals the induction of a new sugar-phosphate sensor system in Bacillus cereus. Gut Microbes 5: 58–63. pmid:24256737
  76. 76. Wu MC, Chen YC, Lin TL, Hsieh PF, Wang JT (2012) Cellobiose-specific phosphotransferase system of Klebsiella pneumoniae and its importance in biofilm formation and virulence. Infect Immun 80: 2464–2472. pmid:22566508
  77. 77. Abranches J, Candella MM, Wen ZT, Baker HV, Burne RA (2006) Different roles of EIIABMan and EIIGlc in regulation of energy metabolism, biofilm development, and competence in Streptococcus mutans. J Bacteriol 188: 3748–3756. pmid:16707667
  78. 78. Ymele-Leki P, Houot L, Watnick PI (2013) Mannitol and the mannitol-specific enzyme IIB subunit activate Vibrio cholerae biofilm formation. Appl Environ Microbiol 79: 4675–4683. pmid:23728818
  79. 79. Davey ME, O'Toole G A (2000) Microbial biofilms: from ecology to molecular genetics. Microbiol Mol Biol Rev 64: 847–867. pmid:11104821