Search tips
Search criteria 


Logo of mbioJournal InfoAuthorsReviewersBoard of EditorsJournals ASM.orgmBiomBio Article
mBio. 2017 Jan-Feb; 8(1): e02321-16.
Published online 2017 February 21. doi:  10.1128/mBio.02321-16
PMCID: PMC5358919

Fallacy of the Unique Genome: Sequence Diversity within Single Helicobacter pylori Strains

Claire M. Fraser, Editor
Claire M. Fraser, University of Maryland, School of Medicine;


Many bacterial genomes are highly variable but nonetheless are typically published as a single assembled genome. Experiments tracking bacterial genome evolution have not looked at the variation present at a given point in time. Here, we analyzed the mouse-passaged Helicobacter pylori strain SS1 and its parent PMSS1 to assess intra- and intergenomic variability. Using high sequence coverage depth and experimental validation, we detected extensive genome plasticity within these H. pylori isolates, including movement of the transposable element IS607, large and small inversions, multiple single nucleotide polymorphisms, and variation in cagA copy number. The cagA gene was found as 1 to 4 tandem copies located off the cag island in both SS1 and PMSS1; this copy number variation correlated with protein expression. To gain insight into the changes that occurred during mouse adaptation, we also compared SS1 and PMSS1 and observed 46 differences that were distinct from the within-genome variation. The most substantial was an insertion in cagY, which encodes a protein required for a type IV secretion system function. We detected modifications in genes coding for two proteins known to affect mouse colonization, the HpaA neuraminyllactose-binding protein and the FutB α-1,3 lipopolysaccharide (LPS) fucosyltransferase, as well as genes predicted to modulate diverse properties. In sum, our work suggests that data from consensus genome assemblies from single colonies may be misleading by failing to represent the variability present. Furthermore, we show that high-depth genomic sequencing data of a population can be analyzed to gain insight into the normal variation within bacterial strains.


Although it is well known that many bacterial genomes are highly variable, it is nonetheless traditional to refer to, analyze, and publish “the genome” of a bacterial strain. Variability is usually reduced (“only sequence from a single colony”), ignored (“just publish the consensus”), or placed in the “too-hard” basket (“analysis of raw read data is more robust”). Now that whole-genome sequences are regularly used to assess virulence and track outbreaks, a better understanding of the baseline genomic variation present within single strains is needed. Here, we describe the variability seen in typical working stocks and colonies of pathogen Helicobacter pylori model strains SS1 and PMSS1 as revealed by use of high-coverage mate pair next-generation sequencing (NGS) and confirmed by traditional laboratory techniques. This work demonstrates that reliance on a consensus assembly as “the genome” of a bacterial strain may be misleading.


Sequencing of individual isolated bacterial genomes is now commonplace, with thousands being added to the public domain yearly. However, the typical sequencing and publishing procedures minimize or ignore the genomic variation present within bacterial isolates and continue to treat the genomes as relatively static, homogeneous entities. Laboratory experiments typically utilize bacterial strains—a defined subtype of a bacterial species—that were isolated as a single colony several generations prior to use. Although numerous studies have examined within-strain bacterial variability over time or in response to specific conditions, from early observations involving sectored colony formation (1) to recent work monitoring E. coli genome rearrangements over time (2), less is known about the extent of the genetic changes to expect within a typical laboratory culture (3). H. pylori is a microbe that is known to have a highly variable genome (4). H. pylori strains vary from each other by numerous gene rearrangements, inversions, sequence variation, and gene gain or loss (4, 5). Such changes have been observed to occur even within the same strain during the course of infection (5,7). The fluidity of the H. pylori genome is influenced by a preponderance of repeats, transposable elements, and restriction/modification (R/M) systems, combined with a lack of some typical DNA repair mechanism components (5, 8,16). The degree of genetic variation within H. pylori populations that are several generations removed from single-colony purification and maintained under typical laboratory conditions, however, is unknown.

H. pylori is highly adapted to humans, and strains capable of stably infecting mice are relatively rare (17). One such strain, named SS1, has become a field standard for mouse work (18). To isolate SS1, gastric homogenate obtained from a patient with gastric ulcers was plated onto H. pylori selective media to obtain single colonies, including one named strain 10700. These single colonies were subcultured several times to increase their numbers, mixed with human gastric biopsy specimen homogenates, and used to intragastrically infect mice. Strain 10700, now called PMSS1, for pre-mouse SS1 (19), was capable of long-term colonization in the mouse stomach (18). This strain was reisolated after mouse infection, representing a so-called “mouse passage,” as a single colony to create SS1. SS1 quickly became a standard for research into H. pylori pathogenicity and virulence. More recently, PMSS1, SS1’s parent, has become a popular experimental model strain because it has a greater ability to induce disease (19).

PMSS1 and SS1 both express the key H. pylori virulence factors: vacuolating cytotoxin (VacA) and CagA, the main product of the cytotoxin-associated pathogenicity island (cag PAI) type IV secretion system (T4SS). The cag PAI T4SS triggers inflammation on its own, presumably via interactions with the host cells, as well as via delivery of proinflammatory molecules, including CagA (20, 21). The SS1 cag PAI-harbored T4SS, however, is nonfunctional at least in part due to the presence of a defective CagY protein (22, 23). Loss of CagY creates strains that are unable to deliver cag PAI cargo and have minimal inflammatory ability. PMSS1, in contrast, has a fully functional cag PAI-harbored T4SS, consistent with its ability to cause severe disease in its original human host and in mice (18, 19). PMSS1 has therefore become a strain of choice for studying the function of the H. pylori T4SS in mice. However, the extent and nature of other genetic changes in PMSS1 that occurred during mouse passage transformation into SS1 have remained largely speculative. Therefore, in this study we set out to sequence this pair of genomes to achieve two objectives: (i) to gain an understanding of the genomic variation that exists within recent single-colony isolates of these strains and (ii) to identify the genomic changes that occurred during mouse-induced host adaptation and enable SS1 to thrive in this new host.


SS1 has a typical H. pylori genome.

We initiated this study to examine the variability within bacterial populations that were several generations removed from single-colony isolation using the H. pylori strain SS1. This strain has been used extensively within the field since its original isolation (18), so we hypothesized that its sequence would be of interest to many and would represent the scale of variation in such populations. For our study, we isolated genomic DNA (gDNA) from five plates of H. pylori SS1, growing as a lawn, to represent a normal working laboratory stock of H. pylori. This sample was referred to as the SS1 working stock population. The DNA was sequenced using SOLiD mate pair and 454 Titanium GS-FLX instruments to obtain >1,000- and 128-fold coverage, respectively. For the initial SS1 assembly, the 454 data were used to produce the main contigs using Newbler (now the Roche GS Assembler Software Package), and the SOLiD data were used to scaffold the contigs and to error-correct the 454 reads using custom Python scripts.

The H. pylori SS1 genome had characteristics that were consistent with typical H. pylori genomes. The genome was ~1.6 Mb and had ~1,500 genes; we provide approximate numbers here because of variations in the copy numbers of several genes and insertion elements, as discussed in the next section (Fig. 1). The genome had ~39% G-C content. SS1 contained the previously reported plasmid pHPS1 (24).

The SS1 and PMSS1 genomes display intragenomic variation. The data represent an overview of the variation observed in SS1 and PMSS1 in Circos format (59). The outer ring displays the key genomic features of the H. pylori SS1/PMSS1 genomes. The ...

To determine whether H. pylori SS1 has a typical complement of H. pylori genes, we compared the genes harbored in the SS1 genome to those harbored in the completed genomes of 41 H. pylori strains that span six H. pylori multilocus sequencing types (25), which contain 940 genes present in ≥95% of these strains. H. pylori SS1 was found to harbor intact versions of all but two of these. The missing genes encode the carbon starvation protein A (CstA) and l-lactate permease (LldP) (Table S1). Genes for these proteins are present in the SS1 genome but have alterations such that they appear to be pseudogenes as defined by having an open reading frame (ORF) that does not span the entire expected gene. PMSS1, in contrast, contains intact genes for these loci (see the “PMSS1” section below). The lldP alteration occurs in a homopolymeric tract, which might be attributed to 454 sequencing errors not corrected by the SOLiD reads; it is unknown, additionally, whether the encoded protein fragments could still have activity (Table S1). We also examined whether SS1 harbored any rare or unique genes, defined as those present in <15% or none of the 41 H. pylori genomes. These types of genes are also called “cloud” genes (26). We identified 17 such SS1 genes as well as the plasmid pHPS1 (Table S2). The majority of these genes are hypotheticals, so it is not yet clear what biological role they confer. Of note, although these genes are rare in the total H. pylori population, they were all genes found in at least one other non-SS1/PMSS1 H. pylori strain. This outcome suggests that SS1 does not have any recognizable genes to add to the H. pylori pan-genome.



Core genes that are missing in the SS1 genome. Download TABLE S1, DOCX file, 0 MB.

Copyright © 2017 Draper et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.


Putative cloud genes of SS1. Download TABLE S2, DOCX file, 0.01 MB.

Copyright © 2017 Draper et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

The sequenced SS1 working stock population shows substantial interpopulation variation.

The use of SOLiD mate pair sequencing and high depth of coverage with multiple technologies allowed us to observe that there was significant genome variation within the SS1 working stock population sequenced. This plasticity included movement of the transposon IS607, genomic inversions, variation in the cagA gene copy number, and potentially up to 58 single nucleotide polymorphisms (SNPs). Each of these variations is described below in more detail.

There was SS1 working stock population heterogeneity in the position of the IS607 bacterial insertion element. IS607 was previously found to exist in approximately one-fifth of H. pylori strains of a diverse collection using PCR analysis (10). It is reportedly present in most complete H. pylori genomes only once per genome, although it is found in strains B012A and B013A in 9 and 4 copies, respectively (7, 27). In SS1, IS607 was present at three or four positions (Fig. 1 and and2).2). In addition to the presence of multiple copies of IS607, both the 454 and SOLiD mate pair sequencing results indicated heterogeneity in the working stock population, with all but one of the IS607 sites being occupied in only part of the population. Targeted PCR using primers flanking the four IS607 insertion sites confirmed that one site, so-called site 2 (Fig. 2), was always IS607 positive, and that the others produced bands consistent with both IS607-positive and IS607-negative states (Fig. 2). The third site appeared to be predominantly in the IS607-negative state, possibly because it represents a recent transposition event. For this last insertion site, a PCR amplification using primers inside the IS607 sequence confirmed that both IS607-negative and IS607-positive subpopulations existed within the SS1 working stock population. The IS607 copies disrupted several genes. The permanent IS607 insertion site disrupted a R/M system, two variable sites lay between uncharacterized genes, and the third variable insertion site disrupted the oppA gene (Fig. 2). These data suggest that IS607 is mobile in the SS1 genome.

IS607 is variably present at four sites in the SS1/PMSS1 genomes. (A) PCR performed on the sequenced SS1 genomic DNA sample, using primers flanking the four SS1 IS607 insertion sites (lanes 1 to 4), showing larger bands where the site contains IS607 (+) ...

Another striking variation within SS1 was a large inversion spanning roughly one-quarter of the genome (Fig. 1). The inverted region had one orientation in SS1 (called the SS1 orientation) and the opposite orientation in PMSS1 (Fig. 3A). Although the so-called SS1 orientation was found in the majority of the sequenced SS1 working stock population, it was not fixed, and we found evidence in the SOLiD sequencing data indicating that the working stock population possessed the inversion in both the SS1 orientation and the PMSS1 orientation. We further confirmed that both orientations existed using targeted PCR amplification followed by Sanger sequencing of data from the SS1 working stock population as well as from individual single colonies isolated from the stock population (Fig. 3B). We found that the working stocks were dominated by one orientation, although a faint band was detected for the PMSS1 orientation in the SS1 working stock DNA (Fig. 3B). Both inversion orientations were readily apparent in single colonies isolated from our stocks, likely because the percentage of the population that contained the nonparent inversion increased during this isolation (Fig. 3B). This inversion occurs between two inverted repeats which consist of three ORFs of unknown function; the third ORF is disrupted in one copy of the repeat. Evidence for two other inversions at separate sites was observed in the SS1 working stock population, based on SOLiD mate pair data. These consisted of an inversion of the dcuA and ansA genes that did not disrupt either coding sequence (CDS) and an inversion of a large region between the two copies of the 23S rRNA gene (Fig. 1). Taken together, these analyses suggest that regions of the SS1 genome frequently invert.

A large region variably inverts in SS1 and PMSS1. (A) Diagram showing the orientation of the large inversion region as a yellow arrow. Its size is 425,787 bp. The inversion that was most common in SS1 is shown on the left (Orientation 1), while ...

We also examined SNPs within the sequenced SS1 working stock population. To identify those that were reliably present, we analyzed the high-coverage SOLiD mate pair data for SNPs that met a threshold cutoff that was determined by producing a scatter diagram of numbers of duplicated mate pairs (r) versus percent support (Fig. S1). Reliable SNPs were found in at least 100 e[0.23 (13-r)]% of the deduplicated mate pairs, with at least r mate pairs supporting the minority position, where the exponential results from a straight dividing line on the semilog plot that spread out the scatter diagram most cleanly (Fig. S1). In essence, this means that, for example, 13 reads would be enough if they provided 100% support, but 33 reads would be needed for 1% support. For this analysis, reads were “deduplicated” by replacing multiple mate pairs that had identical color sequences for the two reads with a single mate pair, to minimize the effect of PCR errors on SNP calling. SNPs with low numbers of supporting reads (<30) were further filtered to accept only those with reads that spanned the entire SNP, not just the last few positions of a read. Using this conservative approach, we found 58 SNPs that occurred throughout the genome of the working stock population (Table 1 and Fig. 1). Of these, 12 were in intergenic regions and the remaining 46 were within predicted coding regions. Of those within coding regions, 14 were synonymous and 32 were missense or nonsynonymous. We confirmed that this approach had found true SNPs by PCR amplification and sequencing of an SNP in the flhB gene (Fig. S2). Both SNP variants were detected in the working stock population. The high-coverage sequence depth thus allowed detection of intragenome SNPs.

Intragenomic SNPs within the sequenced SS1 populationa


Analysis of SNP support. Scatter diagram with y axis data representing the numbers of duplicated mate pairs r and x axis data representing percent support. A straight dividing line on the semilog plot that spread out the scatter diagram points most cleanly gave rise to the exponential, which in turn was used to determine reliable SNPs as those in at least 100e[0.23 (13-r)]% of the deduplicated mate pairs, with at least r mate pairs supporting the minority position. Download FIG S1, TIF file, 2.2 MB.

Copyright © 2017 Draper et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.


Analysis of the flhB (HPYLSS1_00566) region in SS1. (A) The two variants of the SNP, one of which causes a frameshift in the open reading frame. (B) Sanger sequencing results from PCR products of the region shown in panel A. The arrow indicates the variable SNP position. Download FIG S2, TIF file, 25.1 MB.

Copyright © 2017 Draper et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.


Multiple alignment of the cagA gene region in SS1 with the currently available complete H. pylori genomes containing a similar off-island cagA location. Genomes from H. pylori strains B8, ELS37, HUP-B14, J166, and NY40 were obtained from NCBI and aligned using the Mauve multiple genome alignment algorithm in Geneious (57). The top bar shows overall percent identity of the multiple alignment. Gray bars represent each genome, with the black vertical lines in the bar indicating nucleotides that differ and thin horizontal lines representing gaps in the alignment. Predicted coding sequences are shown in yellow, and the ~6-kb cagA repeat region is highlighted in blue. For the purposes of this alignment, the SS1 cagA gene is shown as a single copy. The distance between the rest of the cag PAI and the start of cagA is roughly 15 kb. Download FIG S3, TIF file, 22.2 MB.

Copyright © 2017 Draper et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

cagA copy numbers are highly unstable in SS1.

During our initial assembly of SS1, we observed an overabundance of sequencing reads in the cagA region and mate pairs mapping from cagA to cagA. Targeted PCR and Sanger sequencing (not shown) confirmed that there was at least one tandem duplication of the cagA gene. However, the sequence coverage spike over cagA suggested there could be three or more cagA copies arranged in a tandem repeat. We could not determine a precise copy number or assess potential subpopulation variability from the DNA sequencing data. Therefore, we performed Southern blotting to determine the cagA copy number. Analysis of SS1 parent strains showed bands that corresponded in size to 1 to 4 copies of cagA (Fig. 4A). Subculture of individual colonies from these parent cultures demonstrated isolates containing between one and four copies of cagA (Fig. 4B). Similar results were obtained with PMSS1 and are described in the “PMSS1” section below. These observations suggested that cagA copy numbers are highly unstable in both SS1 and PMSS1. Western blot analysis demonstrated that increased cagA copy numbers correlated with increased CagA protein levels (Fig. 4C). Our data support the conclusion that SS1 contains between 1 and 4 copies of the cagA gene.

H. pylori SS1 and PMSS1 are gene copy number variable at the cagA locus. (A) Schematic diagram showing tandem arrays of the identical 5,072-bp repeat regions at the cagA locus, all of which contain identical copies of the 3,540-bp cagA gene. The ...

We additionally noted that the SS1 cagA copies were “off island,” meaning that they were separated from the other genes of the cag PAI, in a region flanked by genes encoding “glutamate racemase” (murI) and a “hypothetical protein” (Fig. 5). This genomic organization is also found in several other strains, although those genomes reportedly have only one copy of cagA (Fig. S2). The space separating the genes in each cagA repeat was relatively small and contained the cagA promoter as well as a couple of small predicted ORFs that are not typically found in the cag PAI and may have been pseudogene remnants of the upstream murI gene. It was not possible to reliably determine whether these tandem repeats of ~6 kb each were 100% identical using only next-generation sequencing technologies, especially given the evident rate of recombination occurring between the loci.

The cag PAI and cagA regions possess only two sequence differences between SS1 and PMSS1. (A) Diagram shows an alignment of the cag PAI and cagA regions of SS1 and PMSS1, with a dark green middle “identity” bar indicating their genetic ...

There are few coding sequence differences between SS1 and PMSS1.

Given the variability that we observed within the SS1 working stock population, we next asked how much variation existed between SS1 and its parent PMSS1, as well as within a PMSS1 working stock population. We sequenced a sample of PMSS1 that was prepared similarly to the way SS1 was prepared, using Pacific Biosciences long-read technology with 586-fold coverage, supplemented with Illumina short-read technology data from related mouse-passaged isolates for error correction (described in Materials and Methods [“Corrections to genomes”]). Overall, the SS1 and PMSS1 genomes were highly similar, with 99.9% identity (Fig. 1). We identified 45 differences between the genomes and 1 difference on the plasmid, 28 of which were in RNA or protein coding regions (Table 2) and 18 of which were in intergenic regions (Table S3). These coding region insertions and deletions (indels) and SNPs mapped to 23 coding sequences (Table 2). The affected genes spanned a range of categories, as described below.

Differences between SS1 and PMSS1a


SS1-PMSS1 differences that were in intergenic regions. Download TABLE S3, DOCX file, 0 MB.

Copyright © 2017 Draper et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

In the cag PAI, PMSS1 and SS1 differed in only two genes, cagY and cagC (Fig. 5 and Table 2). Both of these encode proteins that are required for cag T4SS function but dispensable for pilus formation (22, 28). These mutations are consistent with the observation that SS1 has a nonfunctional cag PAI T4SS that cannot deliver CagA effectively, while PMSS1 maintains a functional cag PAI (22, 23, 29, 30). CagY is a key cag PAI protein that is under high selective pressure via the mammalian immune system and is frequently altered in mouse-infecting strains (22). We observed that, consistent with these observations, cagY was highly altered between PMSS1 and SS1, bearing three distinct differences (Table 2). Comparing cagY between PMSS1 and SS1, we identified a 4-bp gene replacement, one SNP, and one 50-bp region differing in length and sequence (Table 2 and Fig. 5), similar to changes reported previously (22). cagC, on the other hand, had only a single SNP which encoded an amino acid substitution at position 35 of alanine for threonine. The effect of this CagC alteration is unknown, though it could, in principle, explain why replacement of cagY from SS1 with that from PMSS1 does not fully restore T4SS function (22). Beyond cagY and cagC, the entire cag PAI regions of SS1 and PMSS1 were identical (Fig. 5). Thus, the cag PAI region shows evidence of selection during mouse passage, but only at cagY and, to a lesser degree, cagC.

SS1 contained two other variations compared to PMSS1 in known mouse colonization or pathogenicity factors: the HpaA neuraminyllactose-binding protein and the FucT α-1,3 lipopolysaccharide (LPS) fucosyltransferase (Table 2). HpaA is essential for colonization of mice by SS1 (31). In line with this idea, we found that the hpaA gene is intact in SS1 but is disrupted by a frameshift in PMSS1. hpaA encodes a lipoprotein that binds neuraminyllactose, but its exact role in pathogenesis is unknown (31, 32).

H. pylori SS1 and PMSS1 encode two FucT α-1,3 fucosyltransferases, FutA and FutB. These enzymes add Lewis X sugars to the O antigen of H. pylori LPS. FutA and FutB enzymes contain a variation in a particular heptad repeat region that places the active sites various distances from the bacterial surface (33, 34). We observed that futB of PMSS1 encoded 12 amino acid heptad repeats, while the corresponding paralog of SS1 contained 4.

The biological effects of other differences between SS1 and PMSS1 are unclear (Table 2). SS1 may possibly demonstrate less signaling from the chemoreceptor TlpB than does PMSS1 due to a mutation that affects a conserved signaling residue. SS1 may also have an increased ability to transport serine due to restoration of full-length sdaC. Although there are other alterations in genes involved in various cellular processes, there is not enough information about the effects of the polymorphisms to predict how they would change any phenotypes.

PMSS1 shows working stock population variability similar to that shown by SS1, including at cagA.

Our results demonstrated that SS1 has substantial working stock population variability, so we assessed whether PMSS1 would show a similar degree of variability. We focused on the insertion elements, inversions, and copy number alterations but did not analyze SNPs because the Pacbio sequencing technology used for PMSS1 has a high error rate and thus did not allow confident SNP detection. IS607 was not seen at the rare third site in PMSS1, suggesting that this was a recent transposition event. At the large inverted region, we found that PMSS1 contained this inverted region in the orientation opposite to that seen in SS1 (Fig. 3). However, as seen with SS1, we were able to detect both orientations within the PMSS1 working stock population via PCR (Fig. 3). Last, we detected a variation in the cagA copy numbers of 1 to 4 that was similar to that observed for SS1 (Fig. 4). Overall, this analysis suggests that SS1 and PMSS1 display similar levels of intragenome variability.


We report here the genomic sequences of H. pylori strains SS1 and PMSS1 and observe that, within laboratory working stocks and even freshly isolated single colonies, there was not one constant genome for each isolate. Instead, we found that there was rather a collection of genomes that differed with regard to gene copy number, insertion sequences, inversions, and SNPs. These variations resulted in a group of bacteria that likely possess different phenotypes with regard to multiple processes. These working stock population differences highlight and support the concept that H. pylori genomes are dynamic during laboratory culture and that this heterogeneity can be detected using high-depth sequence coverage that incorporates long-read or mate pair technologies.

The substantial intragenomic variation observed in this study raised the issue of how to report “the” SS1 or PMSS1 genome. For example, should one, two, three, or four copies of cagA be included, and should three or four copies of IS607 be included? Due to the mixed nature of our sequenced population, the association of individual combinations of variants could not be determined, ruling out publication of multiple genomes. We therefore chose to take the traditional approach of publishing a consensus genome containing the most common variant but augmented this information by including substantial annotation to indicate the variability that we observed.

Detection of genomic rearrangements in subpopulations of sequence data using NGS technologies requires use of long reads or mate pairs of high coverage depth, as well as assembly algorithms that specifically look for and report rearrangements. In this study, the SOLiD mate pairs for SS1 performed this role, using custom scripts to detect the rearrangements. Detecting intrapopulation SNPs also requires high coverage depth with a technology that has a low error rate; here, we used SOLiD for this, with the added caveat of ignoring all duplicated reads to avoid the potential for counting PCR errors as SNPs. MiSeq or HiSeq technologies would also work for this purpose, but only at coverage levels well above 100×. Traditionally, intrapopulation variation within bacterial genome sequence data has been ignored due to the difficulty of determining whether such variations represent “real” variations or sequencing errors. We hope that in the future more work will be dedicated to developing robust methods for reliably detecting intrapopulation variation within bacterial whole-genome sequence datasets.

Most of the within-strain variation that we detected appeared to be highly mutable, occurring even in isolates that were recently single colonies. For example, we detected both orientations of the large inversion in both SS1 and PMSS1 in isolates from recent single colonies. We also found single-colony isolates containing cagA repeat arrays ranging from 1 to 4 copies in number, with some appearing to have internal variation. We furthermore observed that infection of a mouse with a strain bearing one cagA copy would result in isolates with other copy numbers (data not shown). Studies suggest that these phenotypes are not unique to SS1. SS1 has a mutation rate similar to the rates seen with other H. pylori strains (35). Furthermore, Jang et al. report that, in work done simultaneously with this work, diverse H. pylori strains were found to have multiple copies of the cagA gene (60). These studies suggest that SS1 and PMSS1 are not unique in their variation and, furthermore, that even an isolate from a single colony contains genomic variation that is detectable using high-depth sequencing.

Given the within-strain variation, we were surprised that there were relatively few differences between PMSS1 and SS1. In >1.6 million bp, there were only 46 points of difference (Tables 2 and S3). This finding is consistent with the idea that PMSS1 is actually already highly optimized for mouse colonization, requiring only modest changes to enhance this property (18, 19). The PMSS1-SS1 differences were found in genes encoding proteins covering a range of metabolic properties, although many appeared to be in transporters. Heithoff and colleagues reported that diverse metabolic changes are needed for Salmonella to become better able to colonize mice (36), suggesting that broad metabolic adaptation is a common strategy associated with host adaptation.

We expected changes in the cag PAI between PMSS1 and SS1 given that it was already well known that SS1 had lost Cag T4SS functionality (22, 23, 37). Surprisingly, there were only two genes changed between the cag PAIs: multiple mutations in the cagY gene, including a large indel noted previously (22), and a single nucleotide SNP in cagC (Fig. 5 and Table 2). Otherwise, the entire 33-kb islands in SS1 and PMSS1 were identical. Another substantial SS1-PMSS1 difference was related to LPS fucosylation, suggesting that LPS modification may be important for colonization of the mouse stomach. Indeed, variations in the expression and number of heptad repeats in FutA and FutB occur during animal and human infection, but the functional consequence of this variation is not yet known (33, 38). Some of the genes that we observed to be changed here were also seen to undergo selection in other analyses of H. pylori during mouse selection. For example, hpaA was one of 23 genes that increased in expression after H. pylori strains were subjected to mouse passage (39).

We report here that SS1 and PMSS1 have multiple copies of the cagA gene, a finding similar to that reported in the companion manuscript (60). CagA is a critical multifunctional virulence factor of H. pylori (21). CagA-positive H. pylori strains cause more-severe inflammation, ulcers, and cancer. Indeed, CagA is considered a bona fide bacterial oncogene, because ectopic expression of it promotes gastric cancer (40). Thus, the observation that H. pylori can exhibit variations in cagA copy numbers and CagA protein levels is highly significant. The mechanism for cagA copy number variation, however, is unknown. There are two Amerindian H. pylori strains with more than one cagA gene, called Shi470 and V225d (41, 42). The types of copy number variations, however, differ from what we observed here. In those cases, there were two cagA copies, with the second copy of cagA and a second cagB inserted in the middle of the cag PAI, between cagQ/cag14 and cagP/cag15 (41, 42). In one case, the encoded cagA appears to be a pseudogene, based on insertion mutations that alter the reading frame (41). In our work, cagA was the only genomic region that underwent duplication. It therefore seems possible that there is a molecular mechanism allowing specific gene amplification (43). We did identify some repeated sequences in the form of mini-IS605 sequences flanking the cagA genes. Mini-IS605 sequences have been reported previously for portions of the cag island, including near cagA, but these sequences are found in strains that do not amplify this gene, so it is not clear what role the mini-IS605 plays (44, 45). Indeed, given that SS1 expresses but does not deliver CagA effectively, it is somewhat puzzling why the cagA copy numbers would vary in this strain. We speculate that either CagA serves a role that is independent of cag T4SS function or that the duplications served a function in PMSS1 and have been retained in SS1. Future experimentation is required to dissect these possibilities. We also noted that the cagA copies are placed at a distance from the other genes of the cag PAI. This off-island arrangement is seen in a few other complete H. pylori genomes (B8, HUP-B14, J166, NY40), but these strains have not been reported to contain more than one copy of cagA. A survey of MiSeq data from three isolates of one such strain, J166, showed no coverage spikes over the cagA gene (Bodo Linz, personal communication), suggesting that this strain indeed contains a single copy of cagA despite having a genomic rearrangement otherwise similar to that of SS1/PMSS1.

In summary, we report here the sequences of two highly important related H. pylori strains. We provide insights into the variability within and between them and highlight the conclusion that a single fixed genome would not accurately represent these strains. One of the most striking findings from our genome analysis is the discovery of the unprecedented variation in cagA copy number, a discovery that we made by first analyzing the read depth over the cagA gene. Because H. pylori is not the only bacterial pathogen known to have a high rate of genomic plasticity, we suspect that similar efforts could reveal mutability in other bacterial genomes. This analysis could aid research into pathogenicity and outbreak tracing, which frequently rely on differential analysis of genomes under the assumption that the genomes for each isolate are relatively static and representative of the immediate population from which it was isolated. We suggest that future sequencing efforts include analysis of variation as part of the annotation and thus move a step closer to reporting the true sequences of the genomes under study.


H. pylori strains and growth conditions.

A stock culture of H. pylori strain SS1 was provided by Adrian Lee and Jani O’Rourke (University of New South Wales, Australia) as a low in vitro subculture isolate from the initial SS1 isolate (18). SS1 was grown on Columbia horse blood agar (CHBA) plates, which contain Columbia agar (BBL) supplemented with 5% defibrinated horse blood, 5 mg trimethoprim/ml, 8 mg amphotericin B/ml, 10 mg vancomycin/ml, 50 mg cycloheximide/ml, 5 mg cefsulodin/ml, 2.5 U polymyxin B/ml, and 0.2% (wt/vol) beta-cyclodextrin. Plates were incubated under microaerobic conditions in a 37°C incubator with a gas mixture of approximately 7% O2 and 10% CO2, with the balance composed of N2.

A stock culture of H. pylori strain PMSS1 was provided by Manuel Amieva (Stanford University), who had obtained it from Adrian Lee (University of New South Wales, Australia). The provided culture was ~5 in vitro subcultures from the original. PMSS1 was grown on brucella agar plates containing 5% newborn calf serum and TVPA (trimethoprim, 5 mg/liter; vancomycin, 10 mg/liter; polymyxin B, 2.5 IU/liter; amphotericin B, 2.5 mg/liter) antibiotics. Incubation was carried out at 37°C under microaerophilic conditions of 5% O2 with the use of an Anoxomat system (Advanced Instruments, Norwood, MA).

To create freezer stocks, the cells were scraped off the respective plates; resuspended in a mixture of brucella broth, 10% fetal bovine serum (FBS), 25% glycerol, and 5% dimethyl sulfoxide; and frozen at −80°C. To resuscitate freezer stocks, a small quantity of frozen stock was placed onto a fresh plate and incubated as described above.

Deletion of cagA in PMSS1 was performed by insertion of a CAT_rpsL antibiotic resistance cassette to replace the entire cagA locus from 590 bp upstream of cagA1 to 168 bp downstream of cagA4, using methods described previously (22).

Isolation of genomic DNA from the working stock population for sequencing and PCR analysis.

To generate genomic DNA (gDNA) for sequencing and PCR, H. pylori strains were revived from the working freezer stock in the laboratory, placed onto the respective plates, and grown as lawns for 2 to 3 days as described above before being subcultured to a new plate to amplify the bacterial numbers. After four such subcultures to new plates, genomic DNA was isolated from H. pylori combined from five (SS1) or four (PMSS1) plates. For SS1, a Qiagen DNeasy kit (Qiagen, Valencia, CA) was used according to the manufacturer’s instructions. For PMSS1, bacterial cells were lysed with lysozyme and EDTA, and genomic DNA was purified using a QIAamp DNA minikit (Qiagen, Valencia, CA) according to the manufacturer’s instructions. The purity and integrity of the genomic DNA were assessed on a 2200 TapeStation with Genomic DNA ScreenTape (Agilent Technologies, Santa Clara, CA). For SS1, the sequenced bacterial population derived from bacteria that were 10 to 11 subcultures from the last single-colony purification step, and the PMSS1 bacteria were ~9 subcultures from the last single-colony purification step, where each subculture refers to moving a portion of the population from one plate to a new plate, to amplify bacterial numbers.

SS1 genome sequencing.

Genomic DNA isolated from H. pylori SS1 was sequenced at the Genome Sequencing Center of the University of California, Santa Cruz (UCSC), in 2009, using SOLiD and 454 Titanium GS-FLX instruments. All library preparation and sequencing reactions were performed at this center.

The 454 library was sheared and size-selected to 400 to 900 bp according to the manufacturer’s protocol using a Lib-L library kit, checked for quality on a BioAnalyzer (Agilent), and sequenced according to Roche 454 titanium GS-FLX protocols on a full plate. This resulted in 557,959 reads passing the filters, with a mean length of 370 ± 136 bp and a 454 quality score of 29 ± 9.2; this represents roughly 128-fold coverage of the SS1 genome.

The SOLiD mate pair library was prepared using a SOLiD mate-paired library kit (ABI) on SS1 genomic DNA sheared and size selected to 2 to 3 kb. The library was quality-checked on a BioAnalyzer, subjected to emulsion PCR, and sequenced on 1 partition of a 4-partition slide on a SOLiD System 2.0 analyzer, using the mate pair sequencing protocol. This resulted in over 38 million “useable” read pairs. These reads were 25 bp in length, representing nearly 2 billion bp and over 1,000-fold coverage of the SS1 genome.

SS1 cagY sequencing.

The SS1 cagY gene could not be assembled from the short-read data and was initially sequenced with C1 chemistry PacBio reads of an amplicon of the whole gene (for the primers used, see Table S4). The reads were aligned and a rough consensus sequence was formed from BLASR alignments (46). The rough consensus was fixed by hand, changing homopolymer lengths to make a single long ORF and to get better compatibility with the 454 and SOLiD data. The resulting sequence was used to build a hidden Markov model (HMM), which was then refined by model surgery using the SAM HMM package from UCSC (47), with training using a subset of the PacBIO reads. Subsequent PacBio sequencing using C2 chemistry run in 2012 could be assembled using HMMs without hand editing or 454 data and produced the same sequence. The cagY sequence includes 32 copies of the usual repetitive motif (48).



Primers used in this work. Download TABLE S4, DOCX file, 0.5 MB.

Copyright © 2017 Draper et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

PMSS1 genome sequencing.

PMSS1 was sequenced within the 100 K Pathogen Genome Project at the University of California, Davis (UC Davis). PacBio libraries were prepared as described previously (49). Briefly, 10 µg of gDNA that met size and quantity standards was fragmented using a Covaris g-Tube (Covaris, Woburn, MA) (50), normalized to between 1 and 5 µg, and used to construct sequencing libraries using a SMRTbell 10-kb library preparation kit (Pacific Biosciences, Menlo Park, CA). The final library submitted for sequencing was >9 kb and >25 ng/µl. Sequencing was performed at the UC Davis Genome Center using the PacBio RSII sequencing platform with C2 chemistry on a single flow cell following the instructions of the manufacturer (Pacific Biosciences) and as previously described (51).

For follow-up Illumina/HiSeq sequencing, isolated gDNA was sheared using a Covaris E220 instrument with a 96-microtube plate (Covaris Inc., Woburn, MA). Libraries were made using a Kapa HTP library preparation kit (KR0426, v3.13; Kapa Biosystems, Wilmington, MA) with dual-SPRI size selection. Libraries were constructed using an Agilent Bravo platform (Agilent Technologies, Santa Clara, CA). Library quantitation was done using Kapa SYBR fast quantitative PCR (qPCR) kits (Kapa Biosystems) to ensure a starting concentration of 400 ng and a fragment insertion size of between 350 and 450 bp (51). Libraries were indexed using Weimer 384 TS-LT DNA barcodes (Integrated DNA Technologies, Inc.). Sequencing was done at the UC Davis Genome Center (Davis, CA) on a HiSeq 3000 instrument using a paired-end 150-bp protocol (Illumina Inc., San Diego, CA).

SS1 assembly: preprocessing.

The sequence data from the 454 run was subjected to a filtering step to remove reads matching known laboratory contaminants and the pHPS1 plasmid using Roche’s GS Reference Mapper (Newbler, version 2.0.01; now called gsMapper) software. The initial de novo assembly was performed using Roche’s de novo assembler (Newbler, version 2.0.01; now called gsAssembler [52]), using default settings except for changing the expected depth to 100. This initial assembly resulted in 47 contigs of length 97 to 181,383 bp. A later de novo assembly that also excluded the IS607 reads was used for the main scaffolding (51 contigs, 111 to 181,591 bp).

Sequence data from the SOLiD run were interleaved using ABI’s abiDeNovo239,164 preprocessor script to generate colorspace (.csfasta) format reads. The SOLiD colorspace reads were mapped to the contigs to determine adjacencies, using custom Python programs that operated in colorspace. For reads mapping within a contig, the mean length of the mate pair was 2,053 bp, with a standard deviation of 399 bp. After rejection of about 18% of SOLiD mate pairs with high coverage to avoid spurious matches [identified as degenerate sequences such as poly(AT) and a contaminant from an externally supplied reagent], only about 27% of the pairs mapped uniquely to a single contig, 37% of the pairs mapped to multiple locations, and 18% of the pairs connected two contigs uniquely.

SS1 assembly: IS607.

Due to the simultaneous presence and absence of IS607 at multiple sites in the genome causing many contig break points and ambiguous scaffolding graphs, IS607 was initially pulled out and assembled separately. Reads mapping partially or completely to IS607 were separated from the rest of the reads and were assembled in two ways: by a reference-based assembly mapping to previously published IS607 sequences and by de novo assembly. The two methods produced identical sequences. The coverage of the IS607 contig was about four times higher than the average genomic coverage, and the de novo assembly had 8 additional contigs, implying the presence of 4 insertion sites for IS607.

SS1 assembly: genome closure.

The contigs of the de novo assembly of 454 reads (excluding reads mapping partially or fully to pHPS1 or IS607) were scaffolded by hand with the aid of custom Python scripts using the SOLiD mate pairs that joined two contigs. Contigs that had high read coverage and ambiguous neighbors were used repeatedly in the scaffolding, under the assumption that the sequence occurred multiple times in the genome. This initial scaffolding process resulted in 7 scaffolds.

A mapping assembly of the 454 reads was done using the scaffolds (plus pHPS1, separately assembled) as a reference, resulting in 22 contigs that did not fully cover the genome. Reads that did not match completely were assembled de novo, adding another 43 contigs. SOLiD mate pairs were mapped to these contigs to determine the ordering and orientation of the larger contigs, with shorter ones placed by alignment to the earlier scaffolds. This resulted in a complete chromosome, minus the IS607 insertions.

A mapping assembly was done of the 454 reads onto the putative chromosome, pHPS1, and IS607. Chimeric reads between the chromosome and the IS607 contig identified four insertion sites for IS607, and the SOLiD mate pairs were used to check these insertions. Three of them were strongly supported by the SOLiD mate pairs, but the third had strong evidence for both insertion at the site and no insertion at the site.

SOLiD mate pairs were used to test possible inversions (suggested by complementary matching sequences at each end of the putative inversion) and to test various SNPs suggested by variations in the 454 assemblies. The genome was polished by doing several rounds of 454 mapping assembly and checking proposed changes with the SOLiD mate pairs, but the cagY and cagA regions remained problematic and had to be tackled separately as described in the “cagY” and “cagA” sections.

SS1 cagA assembly.

The cagA region was assembled separately from the rest of the genome by selecting all 454 reads that mapped to cagA contigs or the surrounding region and assembling them de novo with Newbler. The reads were supplemented by Sanger reads, with primers selected so that the Sanger reads could help with scaffolding (Table S4). As with the whole-genome assembly, the SOLiD reads were used to help find SNPs, to check the scaffolding, and to suggest the number of repeats. Based on the coverage seen with the SOLiD mate pairs and 454 reads, we conjectured the presence of three to four copies of the cagA gene, which was confirmed by Southern blotting. The short-read data (even the Sanger sequences) did not allow us to distinguish any differences between the repeats.

cagA copy number verification and CagA expression analysis.

To determine the copy number of cagA in the SS1 and PMSS1 genomes, a Southern blot was performed. Genomic DNA was digested with SspI-HF (New England Biolabs) for 2 h. Digested DNA was separated on a 0.5% agarose gel overnight at 0.75 V/cm and transferred to a nylon membrane. A fragment of cagA was PCR amplified from SS1 (bp 1217 to 1514) with primers D008 and R008 (Table S4) and labeled with biotin using a North2South biotin Random Prime Labeling kit (Thermo Scientific). Hybridization and detection were carried out with a North2South chemiluminescent hybridization and detection kit according to the manufacturer’s instructions. cagA copy numbers were determined based on fragment size and the known restriction map of the cagA locus (Fig. 4A).

For Western blot analysis, bacterial lysates of PMSS1 single-colony isolates containing 4, 2, or 1 copies of cagA were prepared by growth in liquid culture to mid-exponential phase followed by sonication on ice. Lysates were quantified by Bradford assay, and 10 µg each was loaded onto a 7.5% Mini-Protean TGX precast gel (Bio-Rad Laboratories). Separated proteins were transferred to a polyvinylidene difluoride (PVDF) membrane which was then incubated with rabbit anti-CagA (Austral Biologicals) followed by peroxidase-labeled anti-rabbit IgG (GE Healthcare). To normalize loading, the blot was also incubated with anti-UreB (LifeSpan BioSciences). Enhanced chemiluminescence (ECL) reagents were utilized for visualization of bound antibody (Thermo Scientific).

PMSS1 PacBio assembly.

PMSS1 was assembled de novo using the PacBio SMRT Analysis portal (version 1.3), consisting of the assembly by hierarchical genome assembly process (HGAP) and polishing with Quiver (53). This produced a complete linear PMSS1 genome that began and ended with imperfectly assembled copies of the cagA repeats. Closure of this gap was performed by mapping the PMSS1 cagA repeat region reads to the SS1 genome. There were no reads that spanned a section from a location before the cagA genes to one after the cagA genes, so the number of copies could not be conclusively determined from the PacBio data. Coverage levels suggested either three or four copies. We decided to include four copies, based on the coverage and the Southern blot data.

Assembly: plasmid pHPS1.

For SS1, assembly of the plasmid pHPS1 was performed by mapping the 454 data to the published pHPS1 sequence (24); the recovered sequence was identical to the published plasmid except for a deletion of a single T at position 3274, adjacent to the R3 repeat region. Roughly 56,000 454 reads matched pHPS1, representing roughly 1,000× coverage of the 5.8 kb plasmid and ~10% of the entire 454 run. As the 5.8-kb plasmid is only ~0.3% the size of the 1.5 Mb of the genome, this is a disproportionate number of reads. The reason for this is unclear, but it is possible that this is a moderately high-copy-number plasmid (~30 to 100 copies).

For PMSS1, the de novo assembly had a unitig that appeared to be 2.46 copies of pHPS1 assembled as a tandem repeat rather than as a circular molecule. Mapping the reads to the unitig revealed a region that had higher coverage, with boundaries that corresponded to the best copy of the pHPS1 sequence. This region was extracted from the unitig, with boundaries chosen so that the sequence could be circularized to correspond to the unrolled sequence in the de novo assembly. Remapping reads to this shorter sequence successfully mapped 16,588 reads to the shortened plasmid sequence, versus 16,647 for the unrolled sequence in the de novo assembly. This is close enough that there is no justification for the unrolling. Coverage of the plasmid was about 9,100×.

The PMSS1 sequence has exactly the same deletion of T as the SS1 plasmid sequence, relative to the published pHPS1 sequence (24). There is also one insertion of 213 bases relative to the published pHPS1 sequence, overlapping the R2 repeat region, but we did not pursue this difference.

Corrections to genomes.

To confirm the PMSS1 PacBio assembly sequence, all differences between SS1 and PMSS1 were compared with the results of HiSeq sequencing of four other PMSS1 isolates that were obtained after independent 8-week mouse infections (J. V. Solnick and L. M. Hansen, unpublished observations). The PMSS1 assembly was corrected to the SS1 sequence if the HiSeq data for all 4 other PMSS1 sequences agreed with the SS1 sequence, since it seemed unlikely that the identical changes would occur during independent mouse infections of PMSS1. However, one gene (HPYLPMSS1_01047) displayed a cluster of SNPs where the SS1 version was found in 3/4 isolates; the PMSS1 sequence was corrected to match SS1 for this gene, but a note about this finding was added to the gene’s annotation. For SS1, the SOLiD data were used to check whether any of the differences reflected potential sequencing errors in the SS1 sequence. In addition, one variable SNP in the flhB gene was corrected and confirmed based on Sanger sequencing. Sanger sequencing was also used to confirm the sequences around the large SS1 inversion site.

Two regions of the initial SS1 assembly that differed from PMSS1 were found to have been misassembled in SS1. One region of the SS1 sequence for which the Newbler assembler had reported a high-confidence structural variation appeared to be a tandem repeat of 21 bases that was a little too long to resolve with 454 reads. This region was copied from the PMSS1 genome, where it had 12 copies. The other SS1 misassembly also occurred in the SS1 genome in a duplicated region, near the inverted repeat that marked the large inversion between PMSS1 and SS1. The initial 454 assembly had assigned different reads to the two regions, but the two regions were identical in PMSS1, and we confirmed with Sanger sequencing that they were identical in SS1 also.

Genome annotation.

The SS1 genome was annotated using Prokka v 1.11 (54), the RAST server (55), and NCBI Prokaryotic Genome Annotation Pipeline v 2.7 (56). Annotations were compared by hand within the program Geneious (v 5.6–v 9.1) (57). In most cases, the Prokka annotation was retained; where annotations differed significantly, each ORF was checked by hand against other H. pylori genomes and protein databases and was typically assigned the most generic annotation call. Genes of particular interest to our laboratories, such as the cag PAI genes, were annotated by hand. Where genes appeared to be obviously disrupted by frameshifts, the “complete” ORFs were annotated in the genes track as pseudogenes. Annotation of PMSS1 was performed by transferring the annotation from SS1 to the PMSS1 sequence in Geneious and reannotating pseudogenes. Locus tag numbers were assigned to SS1 according to the PMSS1 (ancestral) inversion orientation to ensure correspondence of gene numbering between the two genomes.

Isolation of single colonies for variation analysis.

Single colonies were isolated from the SS1 or PMSS1 freezer stock cultures described in the “H. pylori strains” section. An aliquot from the freezer stock was struck onto solid media to obtain single colonies. Each colony was then restruck to obtain a greater number of bacteria, and then genomic DNA was prepared as described in the “Isolation of genomic DNA” section.

Transposon IS607 prevalence and location verification.

To verify the IS607 insertion sites observed in the SS1 sequence data, PCR amplification was performed using primers listed in Table S4 and products for all four sites were confirmed by Sanger sequencing.

SS1 and PMSS1 large-inversion verification.

To verify the orientation of the region that was inverted between SS1 and PMSS1, we designed primer pairs that would generate PCR products spanning the inverted region boundaries (Table S4 and Fig. 3). PCR products were analyzed by gel electrophoresis and by DNA sequencing with primers that annealed within the PCR products (Table S4).

Core and cloud genome analysis.

The predicted H. pylori SS1 genes were compared to those of a set of 41 H. pylori genomes spanning six H. pylori phylotypes that were downloaded from PATRIC ( and the NCBI website ( (25). This set of genomes harbors 949 genes that are present in ≥95% of them and thus can be considered “core genes.” SS1 was also analyzed for genes that are present in fewer than 15% of genomes. For both analyses, SS1 data were compared using both Roary (26) and ProteinOrtho (58). Each predicted missing core gene or present cloud gene was examined individually to confirm its status. For the cloud genes, each gene was compared using tBLASTn to H. pylori TaxID 210, which contained 160 complete H. pylori genomes. Positive matches were counted as those with an E value of less than 10−10, with coverage over 75% and without significant gaps. Each cloud gene was further examined using PSI-BLAST, Pfam, and PHYRE to check for informative homology.

Accession number(s).

The GenBank accession number for the H. pylori strain SS1 chromosome is CP009259, and that for its plasmid pHPYLSS1 is CP009260; the GenBank accession number for the PMSS1 chromosome is CP018823, and that for its plasmid pHPYLPMSS1 is CP018824. The IS607 sequence is available as GenBank accession number KY555128. The GenBank BioSample numbers for SS1 and PMSS1 are SAMN03331743 and SAMN04362855, respectively. The GenBank BioProject numbers for this work are PRJNA256258 (SS1 sequencing and assembly), PRJNA203445 (100K Pathogen Genome Project, PMSS1 sequencing), and PRJNA306775 (PMSS1 assembly and annotation). Raw read data are available on the NCBI Sequence Read Archive (SRA) under accession numbers SRR5236049 (PMSS1) and SRP099088 (SS1).


We thank Susan Williams, Sarina Porcella (UC Santa Cruz), and Lawrence Lee (Pacific Biosciences) for early work on cagY and cagA.

The described project was supported by Public Health Service grant 5R01AI108713 (to J.V.S.) and by R01AI050000 and R01AI116946 (to K.M.O.) from the National Institutes of Health. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.


For a companion article on this topic, see

Citation Draper JL, Hansen LM, Bernick DL, Abedrabbo S, Underwood JG, Kong N, Huang BC, Weis AM, Weimer BC, van Vliet AHM, Pourmand N, Solnick JV, Karplus K, Ottemann KM. 2017. Fallacy of the unique genome: sequence diversity within single Helicobacter pylori strains. mBio 8:e02321-16.


1. Galitski T, Roth JR 1997. Pathways for homologous recombination between chromosomal direct repeats in Salmonella typhimurium. Genetics 146:751–767. [PubMed]
2. Barrick JE, Yu DS, Yoon SH, Jeong H, Oh TK, Schneider D, Lenski RE, Kim JF 2009. Genome evolution and adaptation in a long-term experiment with Escherichia coli. Nature 461:1243–1247. doi:.10.1038/nature08480 [PubMed] [Cross Ref]
3. Jee J, Rasouly A, Shamovsky I, Akivis Y, Steinman SR, Mishra B, Nudler E 2016. Rates and mechanisms of bacterial mutagenesis from maximum-depth sequencing. Nature 534:693–696. doi:.10.1038/nature18313 [PMC free article] [PubMed] [Cross Ref]
4. Suerbaum S, Josenhans C 2007. Helicobacter pylori evolution and phenotypic diversification in a changing host. Nat Rev Microbiol 5:441–452. doi:.10.1038/nrmicro1658 [PubMed] [Cross Ref]
5. Dorer MS, Sessler TH, Salama NR 2011. Recombination and DNA repair in Helicobacter pylori. Annu Rev Microbiol 65:329–348. doi:.10.1146/annurev-micro-090110-102931 [PMC free article] [PubMed] [Cross Ref]
6. Morelli G, Didelot X, Kusecek B, Schwarz S, Bahlawane C, Falush D, Suerbaum S, Achtman M 2010. Microevolution of Helicobacter pylori during prolonged infection of single hosts and within families. PLoS Genet 6:e1001036. doi:.10.1371/journal.pgen.1001036 [PMC free article] [PubMed] [Cross Ref]
7. Linz B, Windsor HM, McGraw JJ, Hansen LM, Gajewski JP, Tomsho LP, Hake CM, Solnick JV, Schuster SC, Marshall BJ 2014. A mutation burst during the acute phase of Helicobacter pylori infection in humans and rhesus macaques. Nat Commun 5:4165. doi:.10.1038/ncomms5165 [PubMed] [Cross Ref]
8. Aras RA, Kang J, Tschumi AI, Harasaki Y, Blaser MJ 2003. Extensive repetitive DNA facilitates prokaryotic genome plasticity. Proc Natl Acad Sci U S A 100:13579–13584. doi:.10.1073/pnas.1735481100 [PubMed] [Cross Ref]
9. Alm RA, Ling LS, Moir DT, King BL, Brown ED, Doig PC, Smith DR, Noonan B, Guild BC, deJonge BL, Carmel G, Tummino PJ, Caruso A, Uria-Nickelsen M, Mills DM, Ives C, Gibson R, Merberg D, Mills SD, Jiang Q, Taylor DE, Vovis GF, Trust TJ 1999. Genomic-sequence comparison of two unrelated isolates of the human gastric pathogen Helicobacter pylori. Nature 397:176–180. doi:.10.1038/16495 [PubMed] [Cross Ref]
10. Kersulyte D, Mukhopadhyay AK, Shirai M, Nakazawa T, Berg DE 2000. Functional organization and insertion specificity of IS607, a chimeric element of Helicobacter pylori. J Bacteriol 182:5300–5308. doi:.10.1128/JB.182.19.5300-5308.2000 [PMC free article] [PubMed] [Cross Ref]
11. Kang J, Blaser MJ 2006. Bacterial populations as perfect gases: genomic integrity and diversification tensions in Helicobacter pylori. Nat Rev Microbiol 4:826–836. doi:.10.1038/nrmicro1528 [PubMed] [Cross Ref]
12. Kersulyte D, Lee W, Subramaniam D, Anant S, Herrera P, Cabrera L, Balqui J, Barabas O, Kalia A, Gilman RH, Berg DE 2009. Helicobacter pylori’s plasticity zones are novel transposable elements. PLoS One 4:e6859. doi:.10.1371/journal.pone.0006859 [PMC free article] [PubMed] [Cross Ref]
13. Baltrus DA, Blaser MJ, Guillemin K 2009. Helicobacter pylori genome plasticity. Genome Dyn 6:75–90. doi:.10.1159/000235764 [PubMed] [Cross Ref]
14. Xu Q, Morgan RD, Roberts RJ, Blaser MJ 2000. Identification of type II restriction and modification systems in Helicobacter pylori reveals their substantial diversity among strains. Proc Natl Acad Sci U S A 97:9671–9676. doi:.10.1073/pnas.97.17.9671 [PubMed] [Cross Ref]
15. Kojima KK, Furuta Y, Yahara K, Fukuyo M, Shiwa Y, Nishiumi S, Yoshida M, Azuma T, Yoshikawa H, Kobayashi I 2016. Population evolution of Helicobacter pylori through diversification in DNA methylation and interstrain sequence homogenization. Mol Biol Evol 33:2848–2859. doi:.10.1093/molbev/msw162 [PubMed] [Cross Ref]
16. Uchiyama I, Albritton J, Fukuyo M, Kojima KK, Yahara K, Kobayashi I 2016. A novel approach to Helicobacter pylori pan-genome analysis for identification of genomic islands. PLoS One 11:e0159419. doi:.10.1371/journal.pone.0159419 [PMC free article] [PubMed] [Cross Ref]
17. Thompson LJ, Danon SJ, Wilson JE, O’Rourke JL, Salama NR, Falkow S, Mitchell H, Lee A 2004. Chronic Helicobacter pylori infection with Sydney strain 1 and a newly identified mouse-adapted strain (Sydney strain 2000) in C57BL/6 and BALB/c mice. Infect Immun 72:4668–4679. doi:.10.1128/IAI.72.8.4668-4679.2004 [PMC free article] [PubMed] [Cross Ref]
18. Lee A, O’Rourke J, De Ungria MC, Robertson B, Daskalopoulos G, Dixon MF 1997. A standardized mouse model of Helicobacter pylori infection: introducing the Sydney strain. Gastroenterology 112:1386–1397. doi:.10.1016/S0016-5085(97)70155-0 [PubMed] [Cross Ref]
19. Arnold IC, Lee JY, Amieva MR, Roers A, Flavell RA, Sparwasser T, Müller A 2011. Tolerance rather than immunity protects from Helicobacter pylori-induced gastric preneoplasia. Gastroenterology 140:199–209. doi:.10.1053/j.gastro.2010.06.047 [PMC free article] [PubMed] [Cross Ref]
20. Cover TL. 2016. Helicobacter pylori diversity and gastric cancer risk. mBio 7:e01869-15. doi:.10.1128/mBio.01869-15 [PMC free article] [PubMed] [Cross Ref]
21. Backert S, Tegtmeyer N, Fischer W 2015. Composition, structure and function of the Helicobacter pylori cag pathogenicity island encoded type IV secretion system. Future Microbiol 10:955–965. doi:.10.2217/fmb.15.32 [PMC free article] [PubMed] [Cross Ref]
22. Barrozo RM, Cooke CL, Hansen LM, Lam AM, Gaddy JA, Johnson EM, Cariaga TA, Suarez G, Peek RM Jr, Cover TL, Solnick JV 2013. Functional plasticity in the type IV secretion system of Helicobacter pylori. PLoS Pathog 9:e1003189. doi:.10.1371/journal.ppat.1003189 [PMC free article] [PubMed] [Cross Ref]
23. Eaton KA, Kersulyte D, Mefford M, Danon SJ, Krakowka S, Berg DE 2001. Role of Helicobacter pylori cag region genes in colonization and gastritis in two animal models. Infect Immun 69:2902–2908. doi:.10.1128/IAI.69.5.2902-2908.2001 [PMC free article] [PubMed] [Cross Ref]
24. De Ungria MC, Kolesnikow T, Cox PT, Lee A 1999. Molecular characterization and interstrain variability of pHPS1, a plasmid isolated from the Sydney strain (SS1) of Helicobacter pylori. Plasmid 41:97–109. doi:.10.1006/plas.1998.1383 [PubMed] [Cross Ref]
25. van Vliet AHM, Kusters JG 2015. Use of alignment-free phylogenetics for rapid genome sequence-based typing of Helicobacter pylori virulence markers and antibiotic susceptibility. J Clin Microbiol 53:2877–2888. doi:.10.1128/JCM.01357-15 [PMC free article] [PubMed] [Cross Ref]
26. Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S, Holden MTG, Fookes M, Falush D, Keane JA, Parkhill J 2015. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics 31:3691–3693. doi:.10.1093/bioinformatics/btv421 [PMC free article] [PubMed] [Cross Ref]
27. Guo Y, Wang H, Li Y, Song Y, Chen C, Liao Y, Ren L, Guo C, Tong W, Shen W, Chen M, Mao X, Guo G, Zou Q 2012. Genome of Helicobacter pylori strain XZ274, an isolate from a Tibetan patient with gastric cancer in China. J Bacteriol 194:4146–4147. doi:.10.1128/JB.00804-12 [PMC free article] [PubMed] [Cross Ref]
28. Johnson EM, Gaddy JA, Voss BJ, Hennig EE, Cover TL 2014. Genes required for assembly of pili associated with the Helicobacter pylori cag type IV secretion system. Infect Immun 82:3457–3470. doi:.10.1128/IAI.01640-14 [PMC free article] [PubMed] [Cross Ref]
29. Arnold IC, Lee JY, Amieva MR, Roers A, Flavell RA, Sparwasser T, Müller A 2011. Tolerance rather than immunity protects from Helicobacter pylori–induced gastric Preneoplasia. Gastroenterology 140:199–209. doi:.10.1053/j.gastro.2010.06.047 [PMC free article] [PubMed] [Cross Ref]
30. Philpott DJ, Belaid D, Troubadour P, Thiberge JM, Tankovic J, Labigne A, Ferrero RL 2002. Reduced activation of inflammatory responses in host cells by mouse-adapted Helicobacter pylori isolates. Cell Microbiol 4:285–296. doi:.10.1046/j.1462-5822.2002.00189.x [PubMed] [Cross Ref]
31. Carlsohn E, Nyström J, Bölin I, Nilsson CL, Svennerholm AM 2006. HpaA is essential for Helicobacter pylori colonization in mice. Infect Immun 74:920–926. doi:.10.1128/IAI.74.2.920-926.2006 [PMC free article] [PubMed] [Cross Ref]
32. O’Toole PW, Janzon L, Doig P, Huang J, Kostrzynska M, Trust TJ 1995. The putative neuraminyllactose-binding hemagglutinin HpaA of Helicobacter pylori CCUG 17874 is a lipoprotein. J Bacteriol 177:6049–6057. doi:.10.1128/jb.177.21.6049-6057.1995 [PMC free article] [PubMed] [Cross Ref]
33. Nilsson C, Skoglund A, Moran AP, Annuk H, Engstrand L, Normark S 2006. An enzymatic ruler modulates Lewis antigen glycosylation of Helicobacter pylori LPS during persistent infection. Proc Natl Acad Sci U S A 103:2863–2868. doi:.10.1073/pnas.0511119103 [PubMed] [Cross Ref]
34. Ma B, Wang G, Palcic MM, Hazes B, Taylor DE 2003. C-terminal amino acids of Helicobacter pylori α1, 3/4 fucosyltransferases determine type I and type II transfer. J Biol Chem 278:21893–21900. doi:.10.1074/jbc.M301704200 [PubMed] [Cross Ref]
35. Wang G, Alamuri P, Humayun MZ, Taylor DE, Maier RJ 2005. The Helicobacter pylori MutS protein confers protection from oxidative DNA damage. Mol Microbiol 58:166–176. doi:.10.1111/j.1365-2958.2005.04833.x [PubMed] [Cross Ref]
36. Heithoff DM, Shimp WR, House JK, Xie Y, Weimer BC, Sinsheimer RL, Mahan MJ 2012. Intraspecies variation in the emergence of hyperinfectious bacterial strains in nature. PLoS Pathog 8:e1002647. doi:.10.1371/journal.ppat.1002647 [PMC free article] [PubMed] [Cross Ref]
37. Crabtree JE, Ferrero RL, Kusters JG 2002. The mouse colonizing Helicobacter pylori strain SS1 may lack a functional cag pathogenicity island. Helicobacter 7:139–140; author reply, 140–141. [PubMed]
38. Skoglund A, Bäckhed HK, Nilsson C, Björkholm B, Normark S, Engstrand L 2009. A changing gastric environment leads to adaptation of lipopolysaccharide variants in Helicobacter pylori populations during colonization. PLoS One 4:e5885. doi:.10.1371/journal.pone.0005885 [PMC free article] [PubMed] [Cross Ref]
39. Zhang MJ, Zhao F, Xiao D, Gu YX, Meng FL, He LH, Zhang JZ 2009. Comparative proteomic analysis of passaged Helicobacter pylori. J Basic Microbiol 49:482–490. doi:.10.1002/jobm.200800372 [PubMed] [Cross Ref]
40. Ohnishi N, Yuasa H, Tanaka S, Sawa H, Miura M, Matsui A, Higashi H, Musashi M, Iwabuchi K, Suzuki M, Yamada G, Azuma T, Hatakeyama M 2008. Transgenic expression of Helicobacter pylori CagA induces gastrointestinal and hematopoietic neoplasms in mouse. Proc Natl Acad Sci U S A 105:1003–1008. doi:.10.1073/pnas.0711183105 [PubMed] [Cross Ref]
41. Mane SP, Dominguez-Bello MG, Blaser MJ, Sobral BW, Hontecillas R, Skoneczka J, Mohapatra SK, Crasta OR, Evans C, Modise T, Shallom S, Shukla M, Varon C, Mégraud F, Maldonado-Contreras AL, Williams KP, Bassaganya-Riera J 2010. Host-interactive genes in Amerindian Helicobacter pylori diverge from their Old World homologs and mediate inflammatory responses. J Bacteriol 192:3078–3092. doi:.10.1128/JB.00063-10 [PMC free article] [PubMed] [Cross Ref]
42. Kersulyte D, Kalia A, Gilman RH, Mendez M, Herrera P, Cabrera L, Velapatiño B, Balqui J, Paredes Puente de la Vega F, Rodriguez Ulloa CA, Cok J, Hooper CC, Dailide G, Tamma S, Berg DE 2010. Helicobacter pylori from Peruvian Amerindians: traces of human migrations in strains from remote Amazon, and genome sequence of an Amerind strain. PLoS One 5:e15076. doi:.10.1371/journal.pone.0015076 [PMC free article] [PubMed] [Cross Ref]
43. Reams AB, Roth JR 2015. Mechanisms of gene duplication and amplification. Cold Spring Harb Perspect Biol 7:a016592. doi:.10.1101/cshperspect.a016592 [PMC free article] [PubMed] [Cross Ref]
44. Kersulyte D, Mukhopadhyay AK, Velapatiño B, Su W, Pan Z, Garcia C, Hernandez V, Valdez Y, Mistry RS, Gilman RH, Yuan Y, Gao H, Alarcón T, López-Brea M, Balakrish Nair G, Chowdhury A, Datta S, Shirai M, Nakazawa T, Ally R, Segal I, Wong BC, Lam SK, Olfat FO, Borén T, Engstrand L, Torres O, Schneider R, Thomas JE, Czinn S, Berg DE 2000. Differences in genotypes of Helicobacter pylori from different human populations. J Bacteriol 182:3210–3218. doi:.10.1128/JB.182.11.3210-3218.2000 [PMC free article] [PubMed] [Cross Ref]
45. Blomstergren A, Lundin A, Nilsson C, Engstrand L, Lundeberg J 2004. Comparative analysis of the complete cag pathogenicity island sequence in four Helicobacter pylori isolates. Gene 328:85–93. doi:.10.1016/j.gene.2003.11.029 [PubMed] [Cross Ref]
46. Chaisson MJ, Tesler G 2012. Mapping single molecule sequencing reads using basic local alignment with successive refinement (BLASR): application and theory. BMC Bioinformatics 13:238. doi:.10.1186/1471-2105-13-238 [PMC free article] [PubMed] [Cross Ref]
47. Karplus K, Karchin R, Draper J, Casper J, Mandel-Gutfreund Y, Diekhans M, Hughey R 2003. Combining local-structure, fold-recognition, and new fold methods for protein structure prediction. Proteins 53:491–496. doi:.10.1002/prot.10540 [PubMed] [Cross Ref]
48. Delahay RM, Balkwill GD, Bunting KA, Edwards W, Atherton JC, Searle MS 2008. The highly repetitive region of the Helicobacter pylori CagY protein comprises tandem arrays of an alpha-helical repeat module. J Mol Biol 377:956–971. doi:.10.1016/j.jmb.2008.01.053 [PMC free article] [PubMed] [Cross Ref]
49. Lüdeke CHM, Kong N, Weimer BC, Fischer M, Jones JL 2015. Complete genome sequences of a clinical isolate and an environmental isolate of Vibrio parahaemolyticus. Genome Announc 3. doi:.10.1128/genomeA.00216-15 [PMC free article] [PubMed] [Cross Ref]
50. Kong N, Thao K, Ng W, Kim KS, Korlach J, Hickey L, Kelly L, Lappin S, Weimer BC 2014. Automation of PacBio SMRTbell 10 kb template preparation on an Agilent NGS workstation. In Agilent technologies application note. Agilent Technologies, Santa Clara, CA.
51. Kong N, Ng W, Kelly L, Weimer BC 2015. Quality control of library construction pipeline for PacBio SMRTbell 10 kb library using an Agilent 2200 TapeStation system. Agilent technologies application note. Agilent Technologies, Santa Clara, CA.
52. Margulies M, Egholm M, Altman WE, Attiya S, Bader JS, Bemben LA, Berka J, Braverman MS, Chen YJ, Chen Z, Dewell SB, Du L, Fierro JM, Gomes XV, Godwin BC, He W, Helgesen S, Ho CH, Ho CH, Irzyk GP, Jando SC, Alenquer MLI, Jarvie TP, Jirage KB, Kim JB, Knight JR, Lanza JR, Leamon JH, Lefkowitz SM, Lei M, Li J, Lohman KL, Lu H, Makhijani VB, McDade KE, McKenna MP, Myers EW, Nickerson E, Nobile JR, Plant R, Puc BP, Ronan MT, Roth GT, Sarkis GJ, Simons JF, Simpson JW, Srinivasan M, Tartaro KR, Tomasz A, Vogt KA, et al. 2005. Genome sequencing in microfabricated high-density picolitre reactors. Nature 437:376–380. doi:.10.1038/nature03959 [PMC free article] [PubMed] [Cross Ref]
53. Chen P, den Bakker HC, Korlach J, Kong N, Storey DB, Paxinos EE, Ashby M, Clark T, Luong K, Wiedmann M, Weimer BC 2017. Comparative genomics reveal the diversity of restriction methylation systems in Listeria monocytogenes. Appl Environ Microbiol 83. doi:.10.1128/AEM.02091-16 [PMC free article] [PubMed] [Cross Ref]
54. Seemann T. 2014. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30:2068–2069. doi:.10.1093/bioinformatics/btu153 [PubMed] [Cross Ref]
55. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, Meyer F, Olsen GJ, Olson R, Osterman AL, Overbeek RA, McNeil LK, Paarmann D, Paczian T, Parrello B, Pusch GD, Reich C, Stevens R, Vassieva O, Vonstein V, Wilke A, Zagnitko O 2008. The RAST Server: rapid annotations using subsystems technology. BMC Genomics 9:75. doi:.10.1186/1471-2164-9-75 [PMC free article] [PubMed] [Cross Ref]
56. Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Ciufo S, Li W 2013. Prokaryotic genome annotation pipeline: the NCBI handbook.
57. Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, Buxton S, Cooper A, Markowitz S, Duran C, Thierer T, Ashton B, Meintjes P, Drummond A 2012. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28:1647–1649. doi:.10.1093/bioinformatics/bts199 [PMC free article] [PubMed] [Cross Ref]
58. Lechner M, Findeiss S, Steiner L, Marz M, Stadler PF, Prohaska SJ 2011. Proteinortho: detection of (co-)orthologs in large-scale analysis. BMC Bioinformatics 12:124. doi:.10.1186/1471-2105-12-124 [PMC free article] [PubMed] [Cross Ref]
59. Krzywinski M, Schein J, Birol I, Connors J, Gascoyne R, Horsman D, Jones SJ, Marra MA 2009. Circos: an information aesthetic for comparative genomics. Genome Res 19:1639–1645. doi:.10.1101/gr.092759.109 [PubMed] [Cross Ref]
60. Jang S, Su H, Blum FC, Bae S, Choi YH, Kim A, Hong YA, Kim J , Kim J-H , Gunawardhana N , Jeon Y-E , Yoo Y-J , Merrell DS , Ge L , Cha J-H 2017. Dynamic expansion and contraction of cagA copy number in Helicobacter pylori impact development of gastric disease. mBio 8:e01779-16. doi:.10.1128/mBio.01779-16 [PMC free article] [PubMed] [Cross Ref]

Articles from mBio are provided here courtesy of American Society for Microbiology (ASM)