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. 2016 Mar 24;6:23635. doi: 10.1038/srep23635

Genome sequence and plasmid transformation of the model high-yield bacterial cellulose producer Gluconacetobacter hansenii ATCC 53582

Michael Florea 1,2, Benjamin Reeve 2,5, James Abbott 3,4, Paul S Freemont 2,6, Tom Ellis 2,5,a
PMCID: PMC4806288  PMID: 27010592

Abstract

Bacterial cellulose is a strong, highly pure form of cellulose that is used in a range of applications in industry, consumer goods and medicine. Gluconacetobacter hansenii ATCC 53582 is one of the highest reported bacterial cellulose producing strains and has been used as a model organism in numerous studies of bacterial cellulose production and studies aiming to increased cellulose productivity. Here we present a high-quality draft genome sequence for G. hansenii ATCC 53582 and find that in addition to the previously described cellulose synthase operon, ATCC 53582 contains two additional cellulose synthase operons and several previously undescribed genes associated with cellulose production. In parallel, we also develop optimized protocols and identify plasmid backbones suitable for transformation of ATCC 53582, albeit with low efficiencies. Together, these results provide important information for further studies into cellulose synthesis and for future studies aiming to genetically engineer G. hansenii ATCC 53582 for increased cellulose productivity.

Bacterial cellulose is a strong and pure form of cellulose that is produced in large quantities by species of Acetobacteraceae, possibly due to the benefits of cellulose in food colonization and protection against environmental hazards1,2. Cellulose production is catalysed by AcsAB from the acs (Acetobacter cellulose synthase) operon, which incorporates glucose monomers into growing cellulose fibrils using UDP-glucose as a substrate3. Cellulose fibrils are then secreted through an outer membrane pore formed of AcsC2. Acs operon also contains acsD, which localizes into the periplasm and has been implicated to be important in crystallization of glucan chains2. Cellulose synthesis seems to be regulated based on environmental signals, as the activity of AcsAB is controlled by the second messenger cyclic dimeric guanosine monophosphate (c-di-GMP), which activates AcsAB and is required for cellulose synthesis4. In materials science, bacterial cellulose has been a focus of research due to its several unique properties: unlike plant-based cellulose, it is free of contaminating chemical species such as lignin and pectin, and is synthesized as a continuous interconnected lattice2. It is over 15 times stronger than plant-based cellulose (bacterial cellulose has a tensile strength over 1500 MPa compared to 100 MPa of plant cellulose)5, and is biocompatible, flexible and capable of storing water more than 10 times its own weight6,7. Due to these qualities, it is used commercially in high-quality acoustic speakers, medical wound-dressings, health foods, and other products2. However, potential applications of bacterial cellulose are much more wide-ranging than its current industrial uses, as it can be used to create biocompatible, artificial tissue scaffolds and blood vessels7,8, flexible electrodes and OLED displays9, sensors10 as well as other materials11.

From the different Acetobacteraceae species and strains, G. hansenii ATCC 53582 has been reported as a high-yield cellulose producing strain12,13, has been used in numerous studies into the genetics, biochemistry, mechanical properties and increased production yields of bacterial cellulose13,14,15,16,17,18,19, and has thus become an important model organism for studies of bacterial cellulose production over the past three decades. So far, studies aiming to increase bacterial cellulose production have mainly focussed on optimizing culturing conditions2,11, however these have or will necessarily reach limits determined by the genetics of the producing bacterium. A few attempts at genetic engineering has been made using lower yield cellulose producing Gluconacetobacter strains20,21, however to achieve increased cellulose production it is desirable to use ATCC 53582 or another already high cellulose producing strain as the platform. We have sequenced the genome and developed protocols for transformation of G. hansenii ATCC 53582. From the genome sequence, we identify several new genes associated with cellulose synthesis. We also identify several plasmid backbones capable of replication in ATCC 53582, offering a starting point towards future genetic engineering of this strain.

Results

Genome sequencing

We sequenced G. hansenii ATCC 53582 to approximately 800x coverage using Illumina MiSeq 250 bp paired reads and assembled the reads using the BugBuilder pipeline22 (ENA submission ID PRJEB10804). We tested scaffolding using G. xylinus E2523, G. hansenii ATCC 2376924, and G. xylinus NBRC 328825 as reference genomes, and chose the NBRC 3288, as this resulted in the best overall scaffold with fewest unplaced contigs and incorrect rearrangements. The resulting scaffolds were then manually checked and edited for quality control. Sequencing revealed that the genome of ATCC 53582 is 3.37 Mbp in size with a GC% of 59.48, and contains 2988 protein coding genes, 49 tRNAs, 1 tmRNA, and 7 rRNA genes (of which 4 are partial 5S rRNAs) (Fig. 1). The genome could be assembled into a chromosome of 3.27 Mbp, a large plasmid of 51.3 kbp (pGHA01), and two unplaced scaffolds (40.1 kbp, 10.0 kbp) which could not be unambigously placed due to the lack of spanning read pairs and a lack of similarity to any known Acetobacteraecae sequence in the NCBI non-redundant database26. The unplaced contigs may be part of the chromosome or pGHA01, or constitute separate plasmids. pGHA01 was determined to be a plasmid based on high sequence homology to the plasmid pGXY020 of G. xylinus NBRC 3288 (BLASTN against the nr database shows 99% identity with pGXY020 at 83% cover, E = 0.0).

Figure 1. Overview of G. hansenii ATCC 53582 genome.

Figure 1

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(A) G. hansenii ATCC 53582 genome is 3.27 Mbp in size, with a GC% of 59.48, and contains a predicted 2988 protein coding genes, 49 tRNAs, 1 tmRNA, and 7 rRNA genes. The genome contains a chromosome of approximately 3.27 Mbp and at least one 51 kb plasmid pGHA01. Additionally, it contains 2 scaffolds (40 kbp, 10 kbp), which could not be confidently placed. The chromosome contains the previously described acs1 operon, and two additional, undescribed acs operons (acs2, acs3), which differ from each other in gene content. For the chromosome, rings show from outside in: (1) read coverage, (2) coding sequences on forward and (3) reverse strands, (4) acs1, acs2 and acs3 operons, with their gene contents magnified, (5) GC percentage and (6) GC skew. Read coverage was similar across the genome (see outer ring), with an average RPKM value of 477. See Materials and Methods for details on sequencing and analysis. (B) Relatedness and amino acid percentage identity of AcsAB and AcsC proteins in the three acs operons. A phylogeny of AcsABC proteins suggests acs2 and acs3 to be more closely related to each other than the full acs1 operon. Furthermore, as acs2 and acs3 do not contain acsD, cmcax, ccpax nor bglxA, this suggests that they may have arisen in evolution as duplications of acs1, followed by gene loss. AcsAB proteins seem to be more conserved than AcsC, and share approximately 41–46% sequence identity, compared to 29–40% identity of AcsC. Amino acid sequences were aligned and percent identity calculated using MUSCLE54 and the tree built using the Neighbour-Joining method. All positions containing gaps were removed from analysis. Analyses were conducted using MEGA655.

To verify the accuracy of the genome sequence, we firstly designed primers based on genome sequence and amplified the acsABCD region by PCR. This yielded the expected product size (Supplementary Fig. S1 online), indicating that there are no discrepancies in the size of this region between genomic sequence and experiment. Secondly, we compared the genome sequence to regions of ATCC 53582 previously sequenced by other authors: acsABCD (GenBank: X54676.1)16,19, cmcax and ccpAx (GenBank: AB091058.1)12 and bglxA (GenBank: AB091059.1)12. We found that these sequences were a close match to their genome sequences: BLASTN of these sequences against the ATCC 53582 genome showed that in total only ten nucleotides differed out of 15,245 (4 SNPs, 6 indels) (see Supplementary Data S1 for full alignments). Evaluating sequence reads at these locations showed that these differences were not caused by sequencing errors in our genome sequence, as all reads covering the acs1 operon contained these changes. We also evaluated whether read coverage was unusually high or low in this area, which may indicate sequencing biases or other issues. Although read coverage of the acs1 operon was slightly below average (RPKM = 360 vs 470 average of the genome), this difference was statistically not significant (p = 0.22, two-tailed t-test, comparing read coverage of all genes vs read coverage of genes in acs1 operon), indicating that the differences were not caused by sequencing biases or errors. Of the six indels, five were found clumped close to the beginning of the acsABCD sequence previously reported by Saxena et al. (1990)16 (sequence X54676.1). These were likely sequencing errors in this sequence, as they conflict with both the sequence provided by Kawano et al. (2002)12 (sequence AB091058.1) as well as our genomic sequence. The 6th indel, (a 1 bp deletion at the end of acsA, at genomic position 671834) had been previously confirmed by Saxena et al. (1994)17 as correct. Therefore, the genome sequence seems to differ in only 4 SNPs from previously published sequences, which are likely due to genuine differences – one in the ccpAx gene (a silent mutation), and three in bglxA gene causing V587A, D528N, R721W changes in the amino acid sequence. Whether these changes are functionally important is unknown.

Upon searching for genes related to cellulose synthesis, we found the acs1 operon that had been previously described12,16,17, and which contains the full set of cellulose synthase genes (acsAB1, acsC1 and acsD1), as well as cmcax, ccpAx upstream and bglxA downstream of the acs operon (Fig. 1). cmcax encodes for endo-β-1,4-glucanase27,28 and bglxA encodes for β-glucosidase29, both of which hydrolyse cellulose27,28,29. The function ccpAx is unknown2, however all three genes have been shown to be necessary for cellulose productivity2,12,30,31. In addition to the bglxA gene downstream of acs1 operon, we found a second bglxA gene (bglxA2) at genomic positions 507976–510045. BglxA2 shares 31% amino acid sequence identity with BglxA1 (Supplementary Fig. S2), is distant from the acs1 operon and is not flanked by any other obvious cellulose-related genes.

In addition to the acs1 operon, we found two additional acs operons (acs2, 3), which differ in structure from the acs1 operon. The acs2 and acs3 operons contain acsAB and acsC genes, but not acsD (the only copy of this seems to be in acs1 operon). The acs2 operon is located on the reverse strand, and contains acsAB2 and acsC2, with two additional genes homologous to bcsY and bcsX in the middle of acsAB2 and acsC2 (Fig. 1A). bcsY is closely related to transacetylases and has been proposed to produce acetylated cellulose in Acetobacter xylinum JCM 766432. bcsX may function in cellulose synthesis, but its function is not well known32. The acs3 operon contains acsAB3 and acsC3 genes, without any other evident cellulose synthesis related genes (Fig. 1A). A phylogeny based on concatenated amino acid sequences of AcsAB and AcsC proteins suggests that acs2 and acs3 operons are more closely related to each other than the full acs1 operon (Fig. 1B). acs2 and acs3 also do not contain acsD, cmcax, ccpax or bglxA genes, which suggests that these operons may have arisen as duplications of acs1, followed by divergence and loss of genes during evolution.

As activity of AcsAB is controlled by the allosteric activator c-di-GMP4, we also searched for genes associated with production and regulation of c-di-GMP. We found two Cdg operons (cdg1 and cdg2) containing a diguanylate cyclase gene (dgc1, 2) followed by a c-di-GMP phosphodiesterase (pdeA1, 2), and finally, four standalone c-di-GMP phosphodiesterases (pdeA3–6) from the genome, which share 38–72% amino acid sequence identity (Supplementary Fig. S2). These genes together control the intracellular c-di-GMP levels, as diguanylate cyclases catalyse c-di-GMP synthesis while c-di-GMP phosphodiesterases degrade c-di-GMP33. This multiplicity of c-di-GMP regulatory genes has been noted in other bacteria33 and suggests multiple environmental signals are possibly integrated into the control over cellulose synthesis in ATCC 53582.

To determine the phylogenetic relationship of ATCC 53582 to other Acetobacteraceae, we constructed a phylogeny using 16s rRNA from ATCC 53582 and other Acetobacteraceae (Fig. 2). The tree suggests ATCC 53582 to be closely related to Gluconacetobacter hansenii ATCC 23769, Gluconacetobacter hansenii LMG 1527 (previously Gluconacetobacter xylinus)34,35 and Gluconacetobacter hansenii RG3. This is also supported by the high sequence identity of 16s rRNA in these strains (99.1–99.7%) (Supplementary Fig. S3). Note also that while the ATCC 53582 and ATCC 23769 strains are denoted as Gluconacetobacter xylinus in many publications, Acetobacter taxonomy is undergoing constant revision, and Gluconacetobacter xylinus were classified as Gluconacetobacter hansenii34 and recently again as Komagataeibacter hansenii35.

Figure 2. 16s rRNA phylogeny of G. hansenii ATCC 53582 and Acetobacteraceae species.

Figure 2

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Phylogeny suggests the ATCC 53582 strain to be most closely related to G. hansenii ATCC 23769 and G. hansenii LMG 1527 (G. hansenii are more commonly used, but were recently reclassified as K. hansenii and are denoted in NCBI as such)34. The ATCC 53582 strain is denoted with a blue star. Nucleotide sequences were aligned, percent identity calculated using MUSCLE54 and the tree built using the Neighbour-Joining method. The tree is drawn to scale, with Bootstrap values from 1000 replicates shown next to the branches. All nucleotide positions containing gaps were removed from analysis. Analyses were conducted using MEGA655.

Transformation of G. hansenii ATCC 53582

Various studies have aimed to increase cellulose production of Acetobacter strains2,21,31,36. ATCC 53582 is naturally a high-producing strain12,13, and is therefore potentially a good platform for further optimization via genetic engineering. Hall et al. (1992)37 had shown that G. hansenii can be transformed via electroporation37, and electroporation was similarly used by Chien et al. (2006)21 and Setyawati et al. (2007)20. However, ATCC 53582 has been reported to be difficult to transform – while Saxena et al. (1994)17 could transform other Gluconacetobacter strains, they reported being unable to transform the ATCC 53582 strain17. We used electroporation as described by Hall et al. (1992)37, Chien et al. (2006)21, Dower et al. (1998)38 and Deng et al. (2013)39. These protocols were assessed with the plasmid pSEVA331Bb, which is capable of replication in the closely related Komagataeibacter rhaeticus iGEM strain40. In agreement with past observations by Saxena et al. (1994)17 we were unable to obtain any successful transformants with G. hansenii ATCC 53582 using these previously described transformation protocols. In an effort to determine whether this was caused by suboptimal transformation conditions, we systematically altered parameters for the production of electrocompetent cells and electroporation from the protocol described by Hall et al. (1992). We were able to achieve transformants only when using a 3 kV pulse and a long post-transformation incubation time (see Materials and Methods and Supplementary Methods online for details), however the transformation efficiency remained low (approximately 102 CFU/μg DNA) and no transformants could be obtained with three pSEVA331Bb-based plasmids containing fluorescent reporters (plasmids pSEVA331Bb-PJ23100-mRFP1, pSEVA331Bb-PJ23101-mRFP1 and pSEVA331Bb-PJ23104-mRFP1, where mRFP1 is expressed behind different constitutive promoters PJ23100 PJ23101 and PJ23104). Nevertheless, the reproducibility of the protocol was verified, and transformation and propagation of the pSEVA331Bb backbone was confirmed despite low efficiencies (Fig. 3, Supplementary Fig. S4).

Figure 3. Colony PCR of G. hansenii ATCC 53582 transformed with pSEVA331Bb, pSEVA351, pBla-Vhb-122 and pBAV1K.

Figure 3

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1, 2 and 3 – biological replicates of transformed ATCC 53582 used for colony PCR; Pos – Positive control (PCR with pure plasmid DNA), Neg – negative control (colony PCR of untransformed ATCC 53582); L – NEB Quick-Load Purple 2-log DNA ladder. ATCC 53582 were transformed with pSEVA311, pSEVA321, pSEVA331Bb, pSEVA341, pSEVA351, pBla-Vhb-122, pBAV1K, pSB1C3 and pBca1020. Of the used plasmids, colonies were present with pSEVA331Bb, pSEVA351, pBla-Vhb-122 and pBAV1K, and transformants were subsequently confirmed with colony PCR. Although failure to obtain colonies with other plasmids may be due to low transformation efficiencies, we were unable to obtain any transformants with these plasmids in repeat experiments, indicating incompatible origins of replication.

Using this protocol, we tested 8 additional plasmids with different replication origins and selectable markers for their ability to propagate in ATCC 53582: pSEVA311, pSEVA321, pSEVA341, pSEVA351; pBla-Vhb-122, pBAV1K, pSB1C3 and pBca1020 (see Table S1 for details). From the tested plasmids, we obtained successful transformants with pSEVA351, pBla-Vhb-122 and pBAV1K in addition to pSEVA331Bb (Fig. 3). Although transformation efficiencies were low for all plasmids, we generally observed higher efficiencies with pSEVA331Bb and pSEVA351, which are likely the best options as backbones. For pSEVA321, pSEVA341, pSB1C3 and pBca1020, were unable to obtain any transformants even in repeated experiments.

As genomic restriction enzymes can reduce transformation efficiencies, we searched the ATCC 53582 genome for genes encoding restriction enzymes and identified two systems - a predicted restriction enzyme from the Mrr family (genomic positions 2827888–2829030), and a locus containing a homologue of PstI and its likely methyltransferase (genomic positions 2399354–2401806). Mrr is unlikely to cause the low transformation efficiencies observed, as it targets methylated DNA in certain sequence contexts41 and has been reported not to restrict transformation of unmethylated plasmids42. On the other hand, the recognition sequence of PstI (CTGCAG) was present in single-copy in all of our tested plasmids, raising the possibility that a native PstI may be a cause of low transformation efficiencies. To test this, we mutated the PstI cleavage site (CTGCAG -> CTGCAC) in pSEVA331Bb (pSEVA331Bb-PstI-) and in three plasmids containing fluorescent reporters (pSEVA331Bb-PJ23100-mRFP1-PstI-, pSEVA331Bb-PJ23101-mRFP1-PstI- and pSEVA331Bb-PJ23104-mRFP1-PstI-). While transformants could be obtained with pSEVA331Bb-PstI-, the observed efficiencies were no higher compared to pSEVA331Bb, and once again no transformants were obtained with plasmids harbouring mRFP1 expression cassettes. Thus this suggests that low transformation efficiencies are likely caused by different mechanisms.

Discussion

Our results suggest that pSEVA331Bb, pSEVA351, pBla-Vhb-122 and pBAV1K can replicate in G. hansenii ATCC 53582 (Fig. 3), and may be used as vectors for genetic engineering. For pSEVA311, pSEVA321, pSEVA341, pSB1C3 and pBca1020, we were unable to obtain any transformants despite repeated attempts. Although this may have been caused by low transformation efficiencies, we saw similar results (with the exception of the very low-copy number pSEVA321) in the closely related K. rhaeticus iGEM, where pSEVA311, pSEVA341, pSB1C3 and pBca1020 similarly showed no replication40. The lack of replication is unlikely to have been caused by differences in the numbers of PstI cleavage sites or different selectable markers, as all plasmids contained one PstI site and chloramphenicol was used as the selectable marker in most cases (Supplementary Table S1). This strongly indicates that the plasmids unable to replicate in G. hansenii ATCC 53582 (pSEVA311, pSEVA341, pSB1C3 and pBca1020) failed to do so due to non-compatibility of their replication origins with this species.

Despite the low transformation efficiencies, plasmid propagation and antibiotic resistance indicates that plasmid-based protein expression is clearly occurring. However, addition of mRFP1 expression cassettes to pSEVA331Bb decreased efficiencies to levels where no transformed colonies could be obtained, possibly due to a combination of increased plasmid size and increased metabolic burden on cells. While the presence of a genomic pstI homologue offered a possible explanation for low efficiencies, experimental evidence indicates that this is not the main cause, as removal of PstI restriction sites from plasmids did not result in increased number of transformed colonies. The mechanism for low transformation efficiencies in ATCC 53582 therefore remains an open question. While the protocol and plasmid backbones reported here offer a starting point for genetic engineering of ATCC 53582, it is clear that ATCC 53582 remains difficult to engineer, and in its current state is a suboptimal host for genetic engineering. As has been the case with many other model organisms including E. coli, increasing transformation rates and obtaining robust heterologous gene expression will likely require discovery or generation of alternative strains that have improved properties that enable genetic engineering.

In addition to PstI and Mrr restriction systems, the genome sequence revealed several other interesting features. We identified two Cdg operons containing a diguanylate cyclase and a c-di-GMP phosphodiesterase, and four additional c-di-GMP phosphodiesterases from the genome. Diguanylate cyclases and c-di-GMP phosphodiesterases control c-di-GMP levels by synthesising and degrading c-di-GMP respectively33. In a closely related Acetobacter species, 3 Cdg operons have been identified, and it was reported that disruption of these operons influenced cellulose productivity to different extents43, suggesting that these operons have specialized roles in c-di-GMP regulation. Multiplicity of c-di-GMP regulatory genes allows for multiple signals to be incorporated into c-di-GMP control, and has also been found in many other bacteria33, suggesting that control over cellulose synthesis in ATCC 53582 may similarly be complex and affected by multiple environmental signals.

Previously, a single acs operon had been identified in G. hansenii ATCC 5358217, and a second one had been characterized in related strains32,44. For other Acetobacteraceae species for which the genome has been sequenced, the authors reported one acs operon in the cellulose non-producing G. xylinus NBRC328825 and two acs operons for G. xylinus E2523. For ATCC 53582, genome sequence shows presence of three operons (Fig. 1), which may explain the high cellulose productivity observed. However, it is important to note that three acs operons were similarly noted in G. hansenii ATCC 2376924, despite having 5 times lower cellulose productivity than ATCC 53582 on glucose12, and that strains with acsA2 knockouts did not suffer from decreased cellulose productivity44. Therefore, although having multiple copies of cellulose synthase operons may allow for increased cellulose synthesis in ATCC 53582, it is likely that the copy number of acs operons alone is not the main cause of high cellulose productivity, but that differences in gene expression levels, regulation of AcsAB activity by c-di-GMP, or glucose metabolism may be more important.

Materials and Methods

Culturing of Gluconacetobacter hansenii ATCC 53582

Gluconacetobacter hansenii ATCC 53582 was purchased from ATCC (cat. number 53582, ATCC – Middlesex, UK) and streaked on HS-agarose containing 2% (w/v) glucose. Single colonies were then picked and grown statically in liquid HS at 30 °C for 6 days. Culture was then incubated with 0.2% (v/v) cellulase (T. reesei cellulase, cat. no. C2730 – Sigma, St. Louis USA) at 230 rpm shaking, 30 °C for 24 hours to digest cellulose, and resulting culture stored in 25% (v/v) glycerol, −80 °C as glycerol stocks. For all subsequent experiments, seed cultures were prepared from glycerol stocks.

Genome sequencing, assembly and bioinformatics

For genomic DNA (gDNA) extraction, liquid HS was inoculated from glycerol stocks, grown for 7 days at 30 °C, standing, and cellulose digested via addition of 0.2% (v/v) cellulase and incubation at 30 °C, 230 rpm for 24 hours. 5 mL culture was centrifuged in 50 mL Corning tubes (cat. no. 430290 – Corning Costar, New York USA), at 3200 g for 10 minutes at 4 °C, supernatant discarded, and cells re-suspended in 5 mL cold HS. This was repeated twice in total to remove cellulase and other contaminants present in the medium. gDNA was then extracted from the resulting culture using DNeasy Blood and Tissue kit (cat. no. 69504–Qiagen; Venlo, Netherlands) according to manufacturer’s protocol. To remove contaminants, DNA was purified using Zymo Clean and Concentrator kit (cat. no. D4003–Zymo Research, California, USA) according to manufacturer’s instructions. DNA was then further purified by dialyzing 30 μL of DNA on a 0.025 μm filter (cat. no. VSWP02500–Merck Millipore, Massachusetts, USA) for 1 hour. gDNA sequencing library was then prepared with Nextera DNA Library Preparation Kit (cat. no. FC-121-1031; Illumina–San Diego, USA) according to manufacturer’s protocol. Library was sequenced on an Illumina MiSeq (Illumina) using 250 bp, paired-end reads, to a coverage of approximately 800x.

Before assembly, reads were quality controlled using FastQC45. Reads were downsampled to approximately 100x coverage and assembled using the BugBuilder pipeline22, using Sickle46 for trimming reads (with read areas of quality score below 20 trimmed), Spades47 for assembly (with full read set) and SIS48 for scaffolding, with G. xylinus NBRC 328825 as a reference genome for scaffolding. This was followed by manual correction and verification of scaffolds, using the NBRC 3288 genome as a reference. Assembled genome was then subjected to quality control using Quast49, mis-assemblies manually corrected, and edited genome checked again using Quast. Gapfiller50 was then used to fill gaps within scaffolds. Origin of replication was located using DoriC51 and scaffolds manually reorganized to position the origin at the beginning of the genome. The genome was annotated using Prokka52, all cellulose synthesis and c-di-GMP production related genes, as well as restriction enzymes were manually checked by BLASTP and BLASTN against the non-redundant database26 and re-annotated as necessary. Genes were also searched from the genome using BLAST+53 by converting the finished assembly and raw reads to BLAST databases and subjecting them to BLASTN, TBLASTN or TBLASTX searches with genes of interest. 16s rRNA phylogeny was created by generating a multiple sequence alignment with MUSCLE54 and a Neighbour-Joining tree using MEGA6 package55 at default settings. Reads were mapped onto the genome using BWA and genome was visualized using Circleator56.

The presence of genomic pstI in G. hansenii ATCC 53582, K. rhaeticus iGEM, G. hansenii ATCC 23769 and G. xylinus E25 was searched using pstI reference sequence from Clostridium perfringens (NCBI ID: 18990735) and BLASTN and TBLASTX at default settings, with the G. hansenii ATCC 53582 genome reported here, the unpublished Komagataeibacter rhaeticus iGEM genome (Registry of Standard Biological Parts ID: BBa_K1321306)40 and the published G. hansenii ATCC 2376924 and G. xylinus E2523 genomes used respectively. Unlike for ATCC 53582 (E-value = 10–73), no significant matches were found for K. rhaeticus iGEM, G. hansenii ATCC 23769 and G. xylinus E25 (E = 4.4, 0.27 and no hits respectively) for pstI, indicating that it is not present in these species.

Production of electrocompetent cells and transformation

For production of electrocompetent cells, firstly a seed culture was prepared by inoculating 5 mL of HS-0.2% (v/v) cellulase in 50 mL Corning tubes from glycerol stocks and incubating at 30 °C, 230 rpm shaking, 45° tube angle for 24–72 hours, or until OD600 > 0.7. Then, 10 mL of HS + cellulase medium was added into each of 8 of 50 mL Corning tubes, and seed culture added to a final OD600 of 0.04. Tubes were then incubated at 30 °C, 230 rpm shaking, 45° tube angle until OD600 reached 0.4 … 0.7. Cells were then centrifuged at 3200 g at 4 °C for 12 minutes, supernatant removed, and cell pellicles resuspended in 10 mL 4 °C HEPES for each tube. Cells were similarly washed once more, pooled, and re-suspended in a total of 6 mL 4 °C 15% glycerol. 100 μL aliquots of this were then stored at −80 °C and used for electroporation.

ATCC 53582 was transformed via electroporation. 2–6 μL of pure, dialyzed DNA was added to 100 μL of electrocompetent cells on ice and incubated for 5–15 minutes. The cell-DNA mixture was electroporated using 0.1 cm Gene Pulser Electrocuvettes (cat. no. 1652089, BioRad, Hertfordshire UK) and BioRad Micropulser (BioRad) set at 3 kV, 5–8 ms. Cells were then re-suspended and grown in 800 μL HS-0.1% (v/v) cellulase medium for 16 hours, plated on HS-agar plates containing 34 μg/mL chloramphenicol (for pSEVA311-351 and pSB1C3), 50 μg/mL ampicillin (for pBca1020) or 100 μg/mL of kanamycin (for pBAV1K and pBla-Vhb-122), and incubated inverted for 3–6 days at 30 °C. Any appearing colonies were tested with colony PCR (see Supplementary Table S2 for primers) or grown for testing with subsequent plasmid DNA extraction. See Supplementary Methods online for protocols of electrocompetent cell preparation and transformation.

Molecular biology and cloning

pSEVA311, pSEVA321, pSEVA331, pSEVA341, pSEVA351 were received from the SEVA collection57, pBAV1K58 was purchased from Addgene (cat. no. 26702) – Addgene, Massachusetts, USA), pBla-Vhb-122 was kindly sent by Chien et al. (2006)21, and pSB1C3 and pBca1020 from the Registry of Standard Biological Parts59. Note that although pBAV1K contains a GFP gene, there is no functional expression of GFP from this plasmid, as our sequencing upon receipt of this plasmid revealed a deletion in the GFP promoter region (see Supplementary Data S2 for sequence). pSEVA331Bb was engineered from pSEVA331 by replacing the native multiple cloning site sequence with a BioBrick cloning sequence containing the prefix and suffix for compatibility with the BioBrick standard60 (see Supplementary Data S3 for sequence).

pSEVA331Bb-PJ23100-mRFP1, pSEVA331Bb-PJ23101-mRFP1 and pSEVA331Bb-PJ23104-mRFP1 were engineered from pSEVA331Bb by restriction cloning mRFP1 expression cassettes (PJ23100-mRFP1, PJ23101-mRFP1 and PJ23104-mRFP1) from plasmids BBa_J23100, BBa_J23101 and BBa_J23104 available from the Registry of Standard Biological Parts into pSEVA331Bb (see Supplementary Data S4–S6 for plasmid maps, all sequences are in GenBank format). To remove PstI cleavage site while maintaining plasmid size and GC content, the PstI recognition sequence was mutagenized from CTGCAG to CTGCAC using inverse PCR with mutagenic primers (plasmids pSEVA331Bb-PJ23100-mRFP1-PstI-, pSEVA331Bb-PJ23101-mRFP1-PstI- and pSEVA331Bb-PJ23104-mRFP1-PstI-). Successful mutagenesis was confirmed using test restriction digests.

For colony PCR, transformed colonies were screened using GoTaq Green (cat. no. M5122 – Promega, Madison USA), in 20 μl reaction volume. For long-range PCR of the acs operon, Q5 HF polymerase (cat. no. M0491S – NEB, Massachussets, USA) was used in 50 μL reactions, with or without 10 μL GC enhancer 1 μL template DNA according to manufacturer’s instructions. Thermocycler programs for both colony and long-range PCR are listed in Supplementary Table S3. For plasmid DNA extraction, single colonies were picked from plates after transformation with pSEVA331Bb and inoculated into 5 mL of HS media with 2% (w/v) glucose and 0.2% (v/v) cellulase in a 50 mL tube and incubated at 30 °C with shaking for 48 hours. Plasmid DNA was then extracted from the cultures using a QIAprep spin miniprep kit (Qiagen N.V.) according to manufacturer’s instructions. The prepared plasmids were digested with NcoI restriction enzyme (NEB Inc.) and analysed on agarose gels. The ladder used was NEB Quick-Load Purple 2-log DNA ladder (cat. no. N0550S – NEB) for all tests.

Additional Information

Accession codes: Genome assembly and all associated sequence data have been submitted to the ENA as project ID PRJEB10804. http://www.nature.com/srep

How to cite this article: Florea, M. et al. Genome sequence and plasmid transformation of the model high-yield bacterial cellulose producer Gluconacetobacter hansenii ATCC 53582. Sci. Rep. 6, 23635; doi: 10.1038/srep23635 (2016).

Supplementary Material

Supplementary Data S1
srep23635-s1.txt (64.7KB, txt)
Supplementary Data S2
srep23635-s2.txt (13.1KB, txt)
Supplementary Data S3
srep23635-s3.txt (10.1KB, txt)
Supplementary Data S4
srep23635-s4.txt (13.6KB, txt)
Supplementary Data S5
srep23635-s5.txt (12.1KB, txt)
Supplementary Data S6
srep23635-s6.txt (12.1KB, txt)
Supplementary Information
srep23635-s7.doc (535KB, doc)

Acknowledgments

We would like to thank Dr. Cheng-Kang Lee from National Taiwan University of Science and Technology and Dr. Jyh-Ming Wu from Chinese Culture University for sharing pBla-Vhb-122 and helpful discussions, Dr. Takayuki Homma from Imperial College Department of Bioengineering for help with genome library preparation, Dr. Laurence Game from Imperial College Genomics Laboratory for help and advice with genome sequencing, and Geraint Barton from Imperial College Bioinformatics Support service for help and advice with genome assembly and analysis. Finally, we would like to thank the Imperial College iGEM 2014 team (Laura de Arroyo Garcia, Haroon Chughtai, Henrik Hagemann, Deze Kong, Christopher Lazenbatt, Christopher Micklem, Despoina Paschou, Gabriella Santosa, Xenia Spencer-Milnes) and advisors (Prof. Richard Kitney , Dr. Kirsten Jensen and Dr. Guy-Bart Stan) for continuous help, advice, and discussions throughout the project.

Footnotes

Author Contributions M.F., T.E. and P.F. planned the experiments, M.F. and B.R. carried out genome sequencing, M.F. and B.R. carried out genetic engineering experiments, M.F. and J.A. carried out bioinformatics analysis, M.F. and T.E. wrote the manuscript, and J.A. and B.R. reviewed the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Data S1
srep23635-s1.txt (64.7KB, txt)
Supplementary Data S2
srep23635-s2.txt (13.1KB, txt)
Supplementary Data S3
srep23635-s3.txt (10.1KB, txt)
Supplementary Data S4
srep23635-s4.txt (13.6KB, txt)
Supplementary Data S5
srep23635-s5.txt (12.1KB, txt)
Supplementary Data S6
srep23635-s6.txt (12.1KB, txt)
Supplementary Information
srep23635-s7.doc (535KB, doc)

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