Literature DB >> 25978460

Microevolution of Virulence-Related Genes in Helicobacter pylori Familial Infection.

Yoshikazu Furuta1, Mutsuko Konno2, Takako Osaki3, Hideo Yonezawa3, Taichiro Ishige4, Misaki Imai4, Yuh Shiwa4, Mari Shibata-Hatta4, Yu Kanesaki4, Hirofumi Yoshikawa5, Shigeru Kamiya3, Ichizo Kobayashi1.   

Abstract

Helicobacter pylori, a bacterial pathogen that can infect human stomach causing gastritis, ulcers and cancer, is known to have a high degree of genome/epigenome diversity as the result of mutation and recombination. The bacteria often infect in childhood and persist for the life of the host. One of the reasons of the rapid evolution of H. pylori is that it changes its genome drastically for adaptation to a new host. To investigate microevolution and adaptation of the H. pylori genome, we undertook whole genome sequencing of the same or very similar sequence type in multi-locus sequence typing (MLST) with seven genes in members of the same family consisting of parents and children in Japan. Detection of nucleotide substitutions revealed likely transmission pathways involving children. Nonsynonymous (amino acid changing) mutations were found in virulence-related genes (cag genes, vacA, hcpDX, tnfα, ggt, htrA and the collagenase gene), outer membrane protein (OMP) genes and other cell surface-related protein genes, signal transduction genes and restriction-modification genes. We reconstructed various pathways by which H. pylori can adapt to a new human host, and our results raised the possibility that the mutational changes in virulence-related genes have a role in adaptation to a child host. Changes in restriction-modification genes might remodel the methylome and transcriptome to help adaptation. This study has provided insights into H. pylori transmission and virulence and has implications for basic research as well as clinical practice.

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Year:  2015        PMID: 25978460      PMCID: PMC4433339          DOI: 10.1371/journal.pone.0127197

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The pathogenic epsilon-proteobacterium Helicobacter pylori is a major cause of human gastric diseases [1]. The H. pylori genome sequence exhibits a high degree of diversity even between closely related strains because of the high rate of mutation and recombination [2-6]. The epigenome is also diverse owing to changes in methyltransferase genes through various mechanisms [7-12]. The significance of such extreme genome/epigenome diversity is not understood in detail, although the ability to adapt to the human host has been often suggested. Evidence for effects of DNA modification on gene transcription in bacteria has been limited primarily because of lack of techniques to sensitively and accurately detect methylated DNA bases and to accurately measure transcripts. The Single-Molecule Real-Time (SMRT) sequencing technology now allows methylome decoding at the single base resolution [13, 14]. On the other hand, RNA-seq method in the next-generation sequencers allows accurate and sensitive measurements of transcriptome changes [15]. As a result, there are now an increasing number of reports on relationship between DNA methylation by modification enzymes and transcriptome in bacteria. For example, Type II restriction-modification (RM) systems affect global gene expression in Escherichia coli [16] and in H. pylori [17]. Type III restriction-modification systems affect expression of various genes in Neisseria, Haemophilus and H. pylori [10, 18, 19]. Type I restriction-modification systems affect gene expression in H. pylori [7] and Streptococcus pneumoniae [20]. There is also evidence that Type II modification enzymes affect H. pylori physiology [21-23]. There have been many studies of human familial transmission in attempts to identify transmission pathways. Early studies used electrophoresis-based methods or multi-locus sequence typing (MLST) based on seven conserved genes (~3 kb in total) [24, 25]. Recently, more sensitive whole genome (~1.6 Mb) sequencing was used to analyze the process of familial infection [26-28]. In order to gain insight into H. pylori adaptive evolution in a new human host, especially in a child who was supposed to be newly infected, we used whole genome sequencing of very closely related H. pylori strains from the same family, which are difficult to distinguish by standard MLST analysis [29] and estimated the order of intrafamilial infection and then investigated which genes have experienced amino acid changes.

Results

Families infected with H. pylori of the same or very similar MLST sequence type

In all, 19 H. pylori strains were isolated from five families (one strain per person) visiting a pediatrician in a hospital in Hokkaido, Japan (). Each family member was infected with H. pylori strains of the same or very similar sequence type as judged by standard MLST analysis (): the mother and the offspring in families K-1 and K-2, the parents and offspring in families K-3 and K-4, and the children in family K-5 [29]. The likely direction of familial transmission in families K-1 and K-2 was from mother to offspring. The allele type numbers of some of the seven MLST genes were different in families K-3 and K-4; this is based on a single nucleotide substitution, however, so we regard them as very similar sequences. The MLST results did not make it clear whether the father or the mother was the H. pylori donor to the offspring. In family K-5, transmission was likely from outside the family, which might be independent among children from the same reservoir or might have been followed by inter-child transmission. a Strains with same sequence type within a family are underlined. b Number of variations compared with F30 genome. All these strains were shotgun sequenced by an Illumina high-throughput sequencer and mapped onto the known genome sequence of H. pylori strain F30 (), which belongs to the hspEAsia population (as do most isolates in Japan) [4, 30]. About 90% of nucleotides were mapped with coverage of more than five reads, with detection of ~35,000 nucleotide substitutions per strain. A lower mapping rate in the strains found in family K-4 can be explained by the lack of a cag pathogenicity island in their genomes. Little difference was observed when other hspEAsia genomes (F16, F32 and F57) [4] were used as a reference genome for mapping (), so we used the mapping on H. pylori strain F30 for further analysis.

Estimation of transmission pathways from the number of nucleotide substitutions

Nucleotide substitutions between each strain pair within a family were counted and used as the distance between compared strains () to construct a phylogenetic tree for each family (). As expected, the number of nucleotide substitutions between strains of distantly related MLST sequence types was greater compared to the same or very similar MLST sequence type by one to three orders of magnitude. From the whole genome sequence information, various evolutionary relations were inferred between multiple strains of the same or very similar MLST sequence type within a family.

Phylogenetic trees of H. pylori genomes in the families.

The number of nucleotide substitutions was used as the distance matrix. The relation and age of the host is added next to the strain name. (A) Family K-1. (B)(i) Family K-2. (ii) Strains with the same MLST sequence type in Family K-2. (C) Family K-3. (D) Family K-4. (E)(i) Family K-5. (ii) Strains with the same MLST sequence type in Family K-5. The bar indicates the number of nucleotide substitutions. In family K-2, comparison of three strains with the same MLST sequence type showed the distance between the two strains from children K36 and K37 was, on average, 1.7-fold smaller compared to K35 (from mother) and K36 (from child) and to K35 (from mother) and K37 (from child) (). The difference was statistically significant (P < 10–5), supporting the hypothesis that the latest infection (transfer) occurred between the hosts of K36 and K37; i.e. transmission between children. (This inference is discussed in Discussion, below.) A comparison of three strains with the same MLST sequence type in family K-3 showed the distance between K27 (from mother) and K28 (from child) is about half compared to K26 (from father) and K27 (from mother) and to K26 (from father) and K28 (from child) (). The difference is significantly greater compared to assuming a random distribution of substitution mutations (P < 10–5), suggesting the latest infection occurred between the hosts of K27 (mother) and K28 (child); i.e. transmission between mother and child. The likely direction is from mother to child, considering the general pathway of H. pylori infection. (See Discussion, below.) No significant difference between distances was found for the four strains of very similar MLST sequence type in family K-4 (P > 0.01, ). There were three MLST sequence types corresponding to father, mother and offspring in family K-5 (see the preceding section). No significant difference between distances was detected for the three strains isolated from the offspring (P > 0.01, ).

Detection and classification of strain-specific nucleotide substitutions

All the nucleotide variations in strains with the same or very similar MLST sequence type were compared within each family for the detection of strain-specific nucleotide substitutions. Bases corresponding to the same site were compared, and assigned as a strain-specific substitution when only a single strain had a base different from the other strains in the comparison. In the case of family K-1, there were only two strains with the same sequence type, so we could not distinguish K15-specific from K17-specific substitutions and treated all the substitutions as strain-specific mutations. We classified base substitutions to single nucleotide variations (SNVs) or clusters of nucleotide polymorphisms (CNPs) in order to estimate the frequency of recombination (). CNP is defined as a cluster of two or more substitutions separated by <200 bp and flanked by >200 bp of identical sequence on both sides and is considered as a sign of substitution by a recombination event [31]. Substitutions not clustered as CNPs were assigned as SNVs. A large number of CNPs was observed in family K-1, which accounted for about 85% of substitutions. The number of substitutions included in a CNP was, on average, about 11 for those of family K-1 but less than three in all the other strains. a Rate of SNV per site per year. b K15 and K17 were counted together because we cannot assign strain specific substitutions by comparison of two strains. c N/A, not applicable. Strain-specific nucleotide substitutions were classified into nonsynonymous (changing amino acid), synonymous (retaining amino acid) and substitutions in noncoding regions. The mutation rate was calculated for isolates from children by dividing the number of SNVs (substitutions not included in CNPs) by their age in years, assuming H. pylori infection occurred soon after birth. The rate ranged from 0.7 x 10–6–5.2 x 10–6 per year per site (). The value is comparable to those reported for earlier estimations for intra-family evolution [26, 31, 32].

Genes with an amino acid substitution

We investigated which genes had experienced an amino acid substitution using function-based gene grouping with clusters of orthologous groups (COG) [33] (). The number of genes with at least one nonsynonymous substitution was counted. We found enrichment of amino acid substitutions in COG categories of M (cell wall/membrane/envelope biogenesis) and T (signal transduction) genes in multiple strains. The category M genes included those for outer membrane proteins (OMPs), lipopolysaccharide biosynthesis, lipoprotein-related proteins, penicillin-binding proteins in the cell wall and cell division proteins (). Category T genes included spoT (included also in category K) and chemotaxis-related genes (included also in category N) (). The genes with nonsynonymous substitutions included those decayed in hspEastAsia, including molybdenum-related genes (mogA and modB), and those decayed in hpEurope, including ackA for acetate formation [4]. The substitution mutations might represent a step in their decay. a Strain used as reference strain for mapping. b K15 and K17 were counted together because we cannot assign strain specific substitutions by comparison of two strains. * Counts were tested by Fischer's exact test, P < 0.01 Genes not assigned to a COG category were also analyzed. Genes annotated as encoding OMPs [34] were the most frequently enriched with the amino acid changing mutations among the strains after transmission, as reported [27]. These included alpAB, hofABDEF, horD, hopADFGINQZ, homBD, babAB and other hypothetical OMPs (). Various known virulence factors were identified among them (). The cagACTWY genes reside on the cag pathogenicity island [35]; vacA is known to cause vacuolation in host cells [36] and virB2 and comH are included in Type IV secretion systems, which are used for DNA import from the surrounding environment [37]. Cysteine-rich proteins [38] and HtrA protease [39] are involved in host interaction. The tnfα gene induces tumor necrosis factor alpha in the host [40] and gamma-glutamyltranspeptidase promotes pathogenesis [41-43]. The fucT gene is used for Lewis antigen mimicry and is important for immunity avoidance [44]. We also found amino acid substitutions in several restriction-modification genes ().

Common and different patterns of evolution in familial transmission

We focused on three families involving children to gain insight into the steps of H. pylori adaptation to a human child host (and ). We emphasize that each lineage has a unique pattern of amino acid changing mutations but they all showed a change in cag and other virulence-related genes.

(i) Family K-2: K36 and K37

K36 had specific nonsynonymous nucleotide substitutions in five motility genes, five signal transduction genes, cagA, tnfα, hcpD, fucT, rfaJ-1/2, and one Type III R (restriction) gene. K37 had these types of mutations in cagA, hcpD, the RNA polymerase subunit gene (rpoB) and two restriction-modification genes (Type IIG and Type III R) as well as four OMP genes.

(ii) Family K-3: K28

Among the 49 genes with at least one nonsynonymous nucleotide substitution specific to the child strain, there are four cag genes (cagV, cagW, cagY and cag5), vacA, htrA, five OMP genes, three restriction-modification genes (two Type I R and one Type III M) and clpX/clpP protease genes ().

(iii) Family K-5: K23, K24 and K25

Among the three strains isolated from the three children in family K-5, K24 had the fewest (n = 12) genes with an amino acid change, among which are a virulence-related gene (comH), a restriction-modification gene (Type I R), purB for nucleotide metabolism, a peroxidase gene and a heme biosynthesis gene. K23 had nonsynonymous substitutions in cagAC genes, four genes related to motility and chemotaxis and two genes related to signal transduction. K25 had nonsynonymous mutations in cagC, three genes (ppa, rfaJ-1 and cfa) related to lipids, atpB for membrane ATP synthase and pcm for protein repair.

Discussion

H. pylori is known for sequence diversity between different strains, but strains from the same lineage can be difficult to distinguish by the standard MLST analysis using only seven genes. We undertook whole genome sequencing and distinguished the strain-specific nucleotide substitutions for isolates with the same or very similar MLST sequence type from the same family. On the basis of sequence difference, we revealed the likely pathway of evolution between these strains in some cases. Furthermore, after analyzing the nonsynonymous mutations, we suggested the strategy of H. pylori evolution during infection. Following the construction of phylogenetic trees based on SNPs in the whole genome sequences. We inferred the direction of transfer between family members and other details (). However, a recent study revealed a broad diversity in genome sequences in strains isolated from one specimen from one person [45]. The diversity represented in the above phylogenetic trees might well be accounted for by the diversity of lineages within an individual. In , for example, the mother might have transferred one lineage (the ancestor of K36) to one child and transferred another, well diversified strain (the ancestor of K37) to the other child. In order to clarify transmission pathways accurately, we need genome sequences of multiple strains from one host. The mutation rate was calculated on the basis of strain-specific SNVs. Most of the value was included with the mutation rate range in earlier calculations from whole genome information [26, 31, 32] and only the K24 strain was a little below the range (). This difference might reflect the origin of H. pylori strains. Earlier work using whole genome sequences was with strains from South Africa [26], whereas strains isolated in Japan were used in the present study. Another possibility is recombination between lineages [45]. By contrast, work using 78 genes for analysis gave a much lower value for the mutation rate, using strains derived from USA, UK, Colombia, the Netherlands and South Korea [32]. This result might be related to the large difference in sequence diversity among genes: indeed, different genes can evolve at very different rates [4, 5]. More analysis of whole genomes and individual genes in strains from various regions is required to fully understand the apparent variation of mutation rate. Genes with an amino acid change might provide insight into the adaptation process. Many of these genes are related to the surface structure of the H. pylori cell, including OMP genes, lipoprotein-related genes and fucT, as found in other work on intrafamilial transmission and intrahost transmission [27, 31]. H. pylori can attach to human gastric epithelial cells through various kinds of adhesion factors, including BabA (HopS), BabB, SabA (HopP), SabB, AlpA and AlpB. Protein BabA is one of the major adhesion molecules associated with severe pathogenesis in H. pylori infection, although babA expression was reported to disappear by six months after infection of Mongolian gerbils with nucleotide changes introducing a stop codon of the gene [46]. AlpA and AlpB were shown to contribute to laminin binding of H. pylori and to induction of inflammatory changes of gastric mucosa [47]. HopQ might be important in initial colonization and long-term persistence of H. pylori in the stomach by modulating the adherence to gastric epithelial cells [48]. Two different alleles of hopQ were shown to be associated significantly with the positivity of other virulence genes, including cagA and vacA [49, 50]. An unexpected finding was the occurrence of amino acid substitutions in many virulence genes other than OMP genes and other surface-related genes. The genes of vacA and cagA are well known as important virulence-related genes of H. pylori. Mutations in these virulence genes were detected in H. pylori isolates of one or two family member(s) in each family but not, in general, in the isolates of all members of a family. One interesting possibility responsible for this observation is that these changes in virulence factors are related to adaptation to children in intrafamilial transmission. A related finding is that CagA is the most reactive antigen recognized by H. pylori-positive sera from children [51]. Amino acid changes in restriction-modification systems were detected in the three families involving children (see the last section in Results). A restriction-modification system consists of DNA methyltransferase, a modification enzyme, and a restriction endonuclease. DNA methyltransferase transfers a methyl group to a specific DNA sequence in the genome, which likely affects global gene expression among others. The restriction enzyme destroys DNA lacking such specific methylation resulting in genetic isolation. Recent work demonstrated the restriction-modification systems in H. pylori frequently change their presence/absence, sequence specificity and expression to remodel the methylome [7, 10]. The mutations mentioned above could be related to adaptation to a new host through such epigenetics-driven adaptive evolution [52]. Substitution of target recognition domains of restriction-modification systems underlying drastic changes in recognition sequence [11, 12], however, cannot be detected, in principle, by the present method based on mapping a genome sequence and SNP analysis. Mutations were found in earlier work comparing whole genome sequences of closely related strains, especially in OMP genes, which is consistent with the results presented here [27, 28, 31, 53]. Comparison of whole genome sequences of H. pylori isolated from grandfather, son and grandson of a family in England found amino acid changes in OMP genes [28]. Substitution mutations in OMP genes were found in inter-spouse transmission in Australia [27]. A mutation burst was found during the acute phase of H. pylori infection leading to mutational changes in OMPs and cag-related genes in humans and primates [53]. These results are consistent with the present study and we additionally found mutations commonly observed in isolates from children in two categories; i.e. virulence factors other than cag-related and restriction-modification enzymes. This difference might be caused because of isolation in young children, compared to isolation from adults in other studies, but we cannot exclude the possibility it is caused by differences in environment. We assumed that the individual human hosts have driven the bacterial mutations in the above genes. Our procedures involved culturing the bacteria ex vivo as in almost all the works on bacterial variations. Have the ex vivo steps, as opposed to in vivo steps, induced or selected the mutations we observed here? We think that most of the strain-specific nonsynonymous substitutions were generated in vivo for the following reasons. First, many of the genes with those mutations also show rapid sequence changes in phylogeny giving long branches in their phylogenetic tree [4, 5]. A simplest interpretation is the host adaptation through a nonsynonymous mutation is repeated for many generations to result in the rapid evolutionary rate. Second, comparable mutation rates per year were obtained in this and other studies based on strain culture ex vivo (). This indicates that the number of mutations is approximately proportional to the years within a human body. This cannot be expected only through mutagenesis and selection in vivo. Third, the strain-specific nonsynonymous mutations are unique to each of the strains. For example, K23, but no other strains, carries such mutations in multiple cag genes and several motility/chemotaxis-related genes among 14 genes with annotation (). Many strains carry those strain-specific nonsynonymous mutations in OMP genes, but the OMP repertoire is quite diverse among the strains. The difference is not likely a result of mutagenesis and/or selection during ex vivo culture, during which we used a medium of the same recipe, especially, the same batch of horse serum (see Materials and methods). From these considerations, it is, at present, natural to interpret that most of these strain-specific non-synonymous mutations were introduced during the long-term (years of) growth in individual human stomachs although we cannot exclude some contribution of ex vivo growth. In conclusion, our whole genome decoding of H. pylori strains from family members including children suggested adaptation of these bacteria to a new human host through mutations in virulence-related genes and restriction-modification genes in addition to OMP genes.

Materials and Methods

Ethics statement

This study was undertaken with approval from the Ethics Committees of Kyorin University, Tokyo (No. 537) and Sapporo Kosei General Hospital (H24-104). Written informed consent was obtained from the patients (5 years old or older) and also from their parents when the patients are minor.

Strains

In all, 19 H. pylori strains were obtained from five families during April 2011—December 2012 in Sapporo Kosei General Hospital, Sapporo, Hokkaido, Japan. A single colony was isolated and subcultured on Brucella medium supplemented with 1.5% (w/v) agar and 7% (v/v) horse serum (BHS medium) under microaerobic conditions. The same batch of horse serum was used for the culture to minimize possible variation between cultures. Typing of strains was done initially by seven-gene MLST for all five families [29].

Genome sequencing and mapping

After incubation for 48 h under microaerobic conditions at 37°C on BHS medium, the culture of H. pylori (about 5×108 colony-forming units) was collected. A Wizard Genomic DNA purification kit (Promega, Madison, WI, USA) was used according to the manufacturer’s instructions to isolate genomic DNA. A DNA library for genome sequencing was constructed by Nextera XT (Illumina, CA, USA) and sequenced by HiSeq2500 (Illumina, CA, USA). About 1.4×106 reads (~×200 coverage) with a length of 100 bp in the form of paired ends were selected from each read data (DRA accession no. 002504) and mapped against the genome sequence of H. pylori strain F30 (accession no. NC_017365) by BWA [54]. Nucleotide substitutions were detected by SAMtools software [55] without misalignment filtering to avoid pseudo-negative detection. Lists of nucleotide substitutions were compared by customized Perl scripts for calculation of the distance between strain pairs and for detection of strain-specific nucleotide substitutions. Nucleotide sites with coverage of more than five reads for all the members of a family with the same or very similar MLST sequence type were used for the detection of nucleotide substitution. Classification of nucleotide substitution to nonsynonymous, synonymous or substitutions at noncoding regions were done according to the gene annotation of H. pylori F30 [4]. For the calculation of strain-specific substitutions, the substitutions in strains K17 and K15 in family K-1 were counted together because the family has only two strains with the same MLST sequence type and it is not possible to assign substitutions to either of the strains. The significance of differences between distances among strains with the same or very similar sequence type was analyzed by generating a matrix assuming the same probability of nucleotide substitution accumulation for all strain pairs. Matrices were constructed 1×106 times and the rank list of standard deviation was compared with the standard deviation of distances in the real data for calculation of the P value.

COG enrichment

COG of genes in the H. pylori F30 genome was annotated by rpsblast [56]. Genes with strain-specific nonsynonymous substitutions were counted and the significance of COG enrichment was tested by Fisher’s exact test. A gene was counted only once even if it had more than two strain-specific nonsynonymous substitutions.

Sequence type.

(XLSX) Click here for additional data file.

Mapping and nucleotide variation detection.

(XLSX) Click here for additional data file.

Distance matrix.

(XLSX) Click here for additional data file.

Comparison of mutation rate.

(XLSX) Click here for additional data file.

COG of genes in H. pylori strain F30 whole genome.

(XLSX) Click here for additional data file.

Strain-specific nonsynonymous nucleotide substitutions.

(XLSX) Click here for additional data file.
Table 1

Strains and mapping results.

FamilyStrain a RelationshipAgeMapped nt (> x5)Mapped %Variation # b
K-1K16Father39145695492.835242
K17 Mother38145682392.834456
K15 Child10145742592.834540
K-2K34Father51145930392.935271
K35 Mother46141932690.437269
K36 Child17141936590.437305
K37 Child14141919790.437288
K-3 K26 Father43145993293.035041
K27 Mother28146089393.034981
K28 Child6145828392.934968
K-4 K29 Father48137996487.937440
K30 Mother44137889187.837389
K32 Child14137744087.737387
K33 Child13137845687.837422
K-5K21Father46146291193.135064
K22Mother47145207992.534581
K23 Child17145582992.733890
K24 Child15145774792.833882
K25 Child5145701092.833823

a Strains with same sequence type within a family are underlined.

b Number of variations compared with F30 genome.

Table 2

Strain specific nucleotide substitutions.

Strain specificSubstitutionnon-synonymous/
FamilyStrainRelationshipagenucleotide substitutionSNV/CNPper CNPsynonymous/non-codingMutation rate a
K-1K17 & K15 b Mother and ChildN/A c 1213183/9510.8437/695/83N/A
K-2K35Mother46182154/122.396/62/24N/A
K36Child178369/72.050/22/112.6 x 10–6
K37Child147154/72.440/20/112.5 x 10–6
K-3K26Father43291214/272.9186/64/41N/A
K27Mother288774/62.246/24/17N/A
K28Child610380/82.949/34/205.2 x 10–6
K-4K29Father486964/22.539/20/10N/A
K30Mother447874/22.041/28/7N/A
K32Child1411089/82.677/20/334.0 x 10–6
K33Child139778/92.168/23/63.8 x 10–6
K-5K23Child175037/62.219/13/181.3 x 10–6
K24Child151717/0N/A12/4/10.7 x 10–6
K25Child54630/62.725/10/113.8 x 10–6

a Rate of SNV per site per year.

b K15 and K17 were counted together because we cannot assign strain specific substitutions by comparison of two strains.

c N/A, not applicable.

Table 3

COG enrichment of genes with strain specific non-synonymous substitutions.

K-1K-2K-3K-4K-5
COGFunctionF30 a K15 & K17 b K35K36K37K26K27K28K29K30K32K33K23K24K25
CEnergy production and conversion7582132121130002
DCell cycle control and mitosis2002111001001000
EAmino Acid metabolism and transport9793207423612000
FNucleotide metabolism and transport3931211001020010
GCarbohydrate metabolism and transport4332003100200000
HCoenzyme metabolis7752215103100012
ILipid metabolism4242104111141000
JTranlsation12276127322065100
KTranscription3332214001124000
LReplication and repair8897124431262110
MCell wall/membrane/envelop biogenesis981684520* 3348* 55113
NCell motility5252527112035300
OPost-translational modification6335309233243111
PInorganic ion transport and metabolism62104126210413110
QSecondary Structure1520001001010000
RGeneral Functional Prediction only1311710337434252101
SFunction Unknown7271108420054002
TSignal Transduction25525* 15011133200
UIntracellular trafficking and secretion5111222020221010
ZCytoskeleton100000000000000
OMPOuter membrane protein4618* 11* 3414* 35* 348* 8* 326*
N/A3553116962461273912435
Sum1607148784436107403839326253181216

a Strain used as reference strain for mapping.

b K15 and K17 were counted together because we cannot assign strain specific substitutions by comparison of two strains.

* Counts were tested by Fischer's exact test, P < 0.01

Table 4

Select genes with an amino-acid substitution in H. pylori from children.

GroupCommentGene
Virulence-relatedcagPAI (cag pathogenicity island) cagA, cagC, cagV, cagW, cagY, cag5
vacA homologs vacA, vacA paralog, vacA paralog
Helicobacter cysteine-rich protein hcpD, hcpX
Proteases htrA, collagenase
Type IV secretion system virB2, comH
Lewis antigen mimicry fucT
Others tnfα (Tumor Necrosis Factor alpha-inducing protein),
ggt (gamma-glutamyltranspeptidase)
Outer membrane proteinHop family hopADFGINQZ
Hof family hofABDEF
Others alpAB, homBD, babAB, horD
Restriction-modificationType IRestriction gene
Type IIG
Type IIIRestriction gene, Modification gene
Table 5

Genes with non-synonymous mutations and annotations in H. pylori from children.

FamilyStrainGroup/ COG categoryGeneAnnotationLocus tag of F30 ortholog
K-5K23Virulence-related cagA Cag pathogenicity island proteinHPF30_0779
Virulence-related cagC Cag pathogenicity island proteinHPF30_0780
Outer membrane protein hopQ Outer membrane proteinHPF30_0214
Outer membrane protein hopI Outer membrane protein HopIHPF30_0234
Outer membrane protein alpB Outer membrane protein AlpBHPF30_0426
J sfhB Pseudouridine synthaseHPF30_0951
M ftsI Cell division proteinHPF30_1449
NTMethyl-accepting chemotaxis proteinHPF30_0728
NT mcpB Methyl-accepting chemotaxis proteinHPF30_1183
NO flgA Flagellar basal body P-ring biosynthesis protein FlgAHPF30_1345
P fecA_2 Iron dicitrate transport proteinHPF30_0524
R rny Ribonuclease YHPF30_0573
hpaA Flagellar sheath adhesin HpaAHPF30_0534
K24Virulence-related comH Periplasmic competence proteinHPF30_1399
Outer membrane protein alpB Outer membrane protein AlpBHPF30_0426
Outer membrane protein hopN-2 Outer membrane protein HopN2HPF30_1068
V hsdR_2 Type I restriction enzyme R proteinHPF30_0485
MU hefA Outer membrane protein HefAHPF30_0721
PCatalase-related peroxidaseHPF30_0836
H hemA Glutamyl-tRNA reductaseHPF30_1056
F purB Adenylosuccinate lyaseHPF30_0276
K25Outer membrane protein babB Outer membrane proteinHPF30_0154
Outer membrane protein hopL Outer membrane protein HopLHPF30_0233
Outer membrane protein alpB Outer membrane protein AlpBHPF30_0426
Outer membrane protein alpA Outer membrane protein AlpAHPF30_0427
Outer membrane protein babA Outer membrane protein BabAHPF30_0441
Outer membrane protein hopF Outer membrane protein HopFHPF30_1043
Virulence-related cagC Cag pathogenicity island proteinHPF30_0780
O pcm Protein-beta-aspartate methyltransferaseHPF30_0297
M cfa Cyclopropane fatty acid synthaseHPF30_0349
C atpB F-ATPase subunit 6HPF30_0502
H mogA Molybdenum cofactor biosynthesis proteinHPF30_0532
MPutative outer membrane proteinHPF30_0673
C ppa Pyrophosphate phospho-hydrolaseHPF30_0706
H hemA Glutamyl-tRNA reductaseHPF30_1056
M rfaJ-1 Putative lipopolysaccharide biosynthesis proteinHPF30_1136
R engB Probable GTP-binding protein EngBHPF30_1459
hpaA Flagellar sheath adhesin HpaAHPF30_0534
K-2K36Outer membrane protein hopQ Outer membrane proteinHPF30_0214
Outer membrane protein alpA Outer membrane protein AlpAHPF30_0427
Outer membrane protein hopA Outer membrane protein HopAHPF30_1066
Virulence-related fucT Alpha-(1,3)-fucosyltransferaseHPF30_0677
Virulence-relatedTumor necrosis factor alpha-inducing proteinHPF30_0731
Virulence-related cagA Cag pathogenicity island proteinHPF30_0779
Restriction-modification res-2 Type III restriction enzyme R proteinHPF30_0033
O groS Protein Cpn10HPF30_0009
H pnuC Nicotinamide mononucleotide transporterHPF30_0110
K cobB Regulatory protein SIR2 homologHPF30_0138
VABC-transporter, ATP-binding domainHPF30_0187
C bisC-frg Biotin sulfoxide reductase BisCHPF30_0341
M capJ Type 1 capsular polysaccharide biosynthesis protein JHPF30_0354
R hypA Probable hydrogenase nickel incorporation protein HypAHPF30_0464
O tig PPIaseHPF30_0536
TK spoT Penta-phosphate guanosine-3'-pyrophosphohydrolaseHPF30_0555
FE prsA Phosphoribosyl pyrophosphate synthaseHPF30_0592
NTMethyl-accepting chemotaxis proteinHPF30_0728
H bioF 8-amino-7-oxononanoate synthaseHPF30_0729
M pldA Phospholipase A1HPF30_0822
N fliG Flagellar motor switch protein GHPF30_0946
I dxr 2-C-methyl-D-erythritol 4-phosphate synthaseHPF30_1079
M rfaJ-2 Putative lipopolysaccharide biosynthesis proteinHPF30_1087
M rfaJ-1 Putative lipopolysaccharide biosynthesis proteinHPF30_1136
PC(4)-dicarboxylates and tricarboxylates/succinate antiporterHPF30_1152
NT tlpA Methyl-accepting chemotaxis proteinHPF30_1179
NT mcpB Methyl-accepting chemotaxis proteinHPF30_1183
NTMethyl-accepting chemotaxis transducerHPF30_1218
L topA DNA topoisomerase IHPF30_1195
U comB1 ComB8 competence proteinHPF30_1259
U comB6 NADH-ubiquinone oxidoreductase subunitHPF30_1260
FPutative endonuclease, split and separated by inversion, N-terminus partHPF30_1272
J rpsB 30S ribosomal protein S2HPF30_1429
K37Outer membrane protein hopQ Outer membrane proteinHPF30_0214
Outer membrane protein hopL Outer membrane protein HopLHPF30_0233
Outer membrane protein hofG Putative outer membrane proteinHPF30_0425
Outer membrane protein alpB Outer membrane protein AlpBHPF30_0426
Virulence-related cagA Cag pathogenicity island proteinHPF30_0779
Restriction-modification res-2 Type III restriction enzyme R proteinHPF30_0033
Restriction-modificationType IIG restriction-modification enzymeHPF30_0661
F pyrF Orotidine 5'-phosphate decarboxylaseHPF30_0005
M tonB Siderophore-mediated iron transport proteinHPF30_0059
J rpsK 30S ribosomal protein S11HPF30_0105
K rpoB DNA-directed RNA polymerase subunit beta/betaHPF30_0196
PCarbonic anhydraseHPF30_0205
MPutative lipopolysaccharide biosynthesis proteinHPF30_0284
C bisC-frg Biotin sulfoxide reductase BisCHPF30_0341
C ackA AcetokinaseHPF30_0435
PIron(III) dicitrate transport proteinHPF30_0645
L rnhA Ribonuclease HHPF30_0667
V hefC Cytoplasmic pump protein of the hefABC efflux system HefCHPF30_0719
MU hefA Outer membrane protein HefAHPF30_0721
M pbp-1a Penicillin-binding protein 1AHPF30_0730
NU flhA Flagellar biosynthesis protein FlhAHPF30_0891
J infB Translation initiation factor IF-2HPF30_0898
D minC Septum formation inhibitorHPF30_0903
L ruvB Holliday junction ATP-dependent DNA helicase RuvBHPF30_0909
ROligopeptide permease integral membrane proteinHPF30_1044
NT mcpB Methyl-accepting chemotaxis proteinHPF30_1183
CFerrodoxin-like proteinHPF30_1378
K-3K28Outer membrane protein hopQ Outer membrane proteinHPF30_0214
Outer membrane protein alpB Outer membrane protein AlpBHPF30_0426
Outer membrane protein hofE Outer membrane protein HofEHPF30_0548
Outer membrane protein hofB Outer membrane protein HofBHPF30_0932
Outer membrane protein hopN-2 Outer membrane protein HopN2HPF30_1068
Virulence-related cagV Cag pathogenicity island proteinHPF30_0794
Virulence-related cagW Cag pathogenicity island proteinHPF30_0795
Virulence-related cagY Cag pathogenicity island proteinHPF30_0797
Virulence-related cag5 Cag pathogenicity island proteinHPF30_0800
Virulence-related vacA Vacuolating cytotoxin AHPF30_0448
Restriction-modification mod-4 Putative type III restriction enzyme M proteinHPF30_1273
Restriction-modificationType I restriction enzyme R proteinHPF30_0858
Restriction-modification hsdR_3 Type I restriction enzyme R proteinHPF30_1407
L dnaG DNA primaseHPF30_0010
RLipid A phosphoethanolamine transferaseHPF30_0020
O clpX ATP-dependent Clp protease ATP-binding subunit ClpXHPF30_0030
IIsoprenyl transferaseHPF30_0175
J valS Valyl-tRNA synthetaseHPF30_0237
E nifS_2 NifS-like proteinHPF30_0338
S truD tRNA-uridine isomerase DHPF30_0415
C ackA AcetokinaseHPF30_0435
SUncharacterized proteinHPF30_0472
M waaE Bifunctional protein HldEHPF30_0475
M amiA N-acetylmuramoyl-L-alanine amidaseHPF30_0558
R rny Ribonuclease YHPF30_0573
L uvrA Excinuclease ABC subunit AHPF30_0629
MPutative outer membrane proteinHPF30_0673
P kefB Glutathione-regulated potassium-efflux system proteinHPF30_0851
O htrA Protease DOHPF30_0869
J infB Translation initiation factor IF-2HPF30_0898
NT tlpA Methyl-accepting chemotaxis proteinHPF30_1179
O clpA ATP-dependent C1p proteaseHPF30_1264
Response regulatorHPF30_0871
  56 in total

1.  Mutation frequency and biological cost of antibiotic resistance in Helicobacter pylori.

Authors:  B Björkholm; M Sjölund; P G Falk; O G Berg; L Engstrand; D I Andersson
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-20       Impact factor: 11.205

2.  Helicobacter pylori AlpA and AlpB bind host laminin and influence gastric inflammation in gerbils.

Authors:  Olga A Senkovich; Jun Yin; Viktoriya Ekshyyan; Carolyn Conant; James Traylor; Patrick Adegboyega; David J McGee; Robert E Rhoads; Sergey Slepenkov; Traci L Testerman
Journal:  Infect Immun       Date:  2011-05-16       Impact factor: 3.441

3.  Natural transformation competence in Helicobacter pylori is mediated by the basic components of a type IV secretion system.

Authors:  D Hofreuter; S Odenbreit; R Haas
Journal:  Mol Microbiol       Date:  2001-07       Impact factor: 3.501

4.  Genomic-sequence comparison of two unrelated isolates of the human gastric pathogen Helicobacter pylori.

Authors:  R A Alm; L S Ling; D T Moir; B L King; E D Brown; P C Doig; D R Smith; B Noonan; B C Guild; B L deJonge; G Carmel; P J Tummino; A Caruso; M Uria-Nickelsen; D M Mills; C Ives; R Gibson; D Merberg; S D Mills; Q Jiang; D E Taylor; G F Vovis; T J Trust
Journal:  Nature       Date:  1999-01-14       Impact factor: 49.962

5.  Comparative transcriptomics of H. pylori strains AM5, SS1 and their hpyAVIBM deletion mutants: possible roles of cytosine methylation.

Authors:  Ritesh Kumar; Asish K Mukhopadhyay; Prachetash Ghosh; Desirazu N Rao
Journal:  PLoS One       Date:  2012-08-03       Impact factor: 3.240

6.  Phasevarion mediated epigenetic gene regulation in Helicobacter pylori.

Authors:  Yogitha N Srikhanta; Rebecca J Gorrell; Jason A Steen; Jayde A Gawthorne; Terry Kwok; Sean M Grimmond; Roy M Robins-Browne; Michael P Jennings
Journal:  PLoS One       Date:  2011-12-05       Impact factor: 3.240

7.  CDD: specific functional annotation with the Conserved Domain Database.

Authors:  Aron Marchler-Bauer; John B Anderson; Farideh Chitsaz; Myra K Derbyshire; Carol DeWeese-Scott; Jessica H Fong; Lewis Y Geer; Renata C Geer; Noreen R Gonzales; Marc Gwadz; Siqian He; David I Hurwitz; John D Jackson; Zhaoxi Ke; Christopher J Lanczycki; Cynthia A Liebert; Chunlei Liu; Fu Lu; Shennan Lu; Gabriele H Marchler; Mikhail Mullokandov; James S Song; Asba Tasneem; Narmada Thanki; Roxanne A Yamashita; Dachuan Zhang; Naigong Zhang; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2008-11-04       Impact factor: 16.971

8.  Methylome diversification through changes in DNA methyltransferase sequence specificity.

Authors:  Yoshikazu Furuta; Hiroe Namba-Fukuyo; Tomoko F Shibata; Tomoaki Nishiyama; Shuji Shigenobu; Yutaka Suzuki; Sumio Sugano; Mitsuyasu Hasebe; Ichizo Kobayashi
Journal:  PLoS Genet       Date:  2014-04-10       Impact factor: 5.917

9.  The complex methylome of the human gastric pathogen Helicobacter pylori.

Authors:  Juliane Krebes; Richard D Morgan; Boyke Bunk; Cathrin Spröer; Khai Luong; Raphael Parusel; Brian P Anton; Christoph König; Christine Josenhans; Jörg Overmann; Richard J Roberts; Jonas Korlach; Sebastian Suerbaum
Journal:  Nucleic Acids Res       Date:  2013-12-02       Impact factor: 16.971

10.  Helicobacter pylori genomic microevolution during naturally occurring transmission between adults.

Authors:  Bodo Linz; Helen M Windsor; John P Gajewski; Caylie M Hake; Daniela I Drautz; Stephan C Schuster; Barry J Marshall
Journal:  PLoS One       Date:  2013-12-10       Impact factor: 3.240

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  12 in total

1.  Helicobacter pylori Infections in the Bronx, New York: Surveying Antibiotic Susceptibility and Strain Lineage by Whole-Genome Sequencing.

Authors:  William R Jacobs; Wendy A Szymczak; Rajagopalan Saranathan; Michael H Levi; Alice R Wattam; Adel Malek; Emmanuel Asare; Daniel S Behin; Debra H Pan
Journal:  J Clin Microbiol       Date:  2020-02-24       Impact factor: 5.948

2.  Comparative analysis of prophage-like elements in Helicobacter sp. genomes.

Authors:  Xiangyu Fan; Yumei Li; Rong He; Qiang Li; Wenxing He
Journal:  PeerJ       Date:  2016-05-05       Impact factor: 2.984

3.  Phylogenomics of Colombian Helicobacter pylori isolates.

Authors:  Andrés Julián Gutiérrez-Escobar; Esperanza Trujillo; Orlando Acevedo; María Mercedes Bravo
Journal:  Gut Pathog       Date:  2017-09-11       Impact factor: 4.181

4.  Influence of Intestinal Indigenous Microbiota on Intrafamilial Infection by Helicobacter pylori in Japan.

Authors:  Takako Osaki; Cynthia Zaman; Hideo Yonezawa; Yingsong Lin; Masumi Okuda; Eriko Nozaki; Fuhito Hojo; Satoshi Kurata; Tomoko Hanawa; Shogo Kikuchi; Shigeru Kamiya
Journal:  Front Immunol       Date:  2018-02-21       Impact factor: 7.561

5.  Diversification of the AlpB Outer Membrane Protein of Helicobacter pylori Affects Biofilm Formation and Cellular Adhesion.

Authors:  Hideo Yonezawa; Takako Osaki; Toshiyuki Fukutomi; Tomoko Hanawa; Satoshi Kurata; Cynthia Zaman; Fuhito Hojo; Shigeru Kamiya
Journal:  J Bacteriol       Date:  2017-02-28       Impact factor: 3.490

6.  Rapid evolution of the Helicobacter pylori AlpA adhesin in a high gastric cancer risk region from Colombia.

Authors:  Andrés Julián Gutiérrez-Escobar; Gina Méndez-Callejas; Orlando Acevedo; Maria Mercedes Bravo
Journal:  PeerJ       Date:  2018-05-25       Impact factor: 2.984

7.  Within-host evolution of Helicobacter pylori shaped by niche-specific adaptation, intragastric migrations and selective sweeps.

Authors:  Florent Ailloud; Xavier Didelot; Sabrina Woltemate; Gudrun Pfaffinger; Jörg Overmann; Ruth Christiane Bader; Christian Schulz; Peter Malfertheiner; Sebastian Suerbaum
Journal:  Nat Commun       Date:  2019-05-22       Impact factor: 14.919

8.  Genetic diversity and amino acid sequence polymorphism in Helicobacter pylori CagL hypervariable motif and its association with virulence markers and gastroduodenal diseases.

Authors:  Abbas Yadegar; Ashraf Mohabati Mobarez; Mohammad Reza Zali
Journal:  Cancer Med       Date:  2019-03-14       Impact factor: 4.452

9.  In Vivo Genome and Methylome Adaptation of cag-Negative Helicobacter pylori during Experimental Human Infection.

Authors:  Iratxe Estibariz; Florent Ailloud; Sabrina Woltemate; Boyke Bunk; Cathrin Spröer; Jörg Overmann; Toni Aebischer; Thomas F Meyer; Christine Josenhans; Sebastian Suerbaum
Journal:  mBio       Date:  2020-08-25       Impact factor: 7.867

10.  Natural Transmission of Helicobacter saguini Causes Multigenerational Inflammatory Bowel Disease in C57/129 IL-10-/- Mice.

Authors:  Anthony Mannion; Zeli Shen; Yan Feng; Dylan Puglisi; Sureshkumar Muthupalani; Mark T Whary; James G Fox
Journal:  mSphere       Date:  2020-03-25       Impact factor: 4.389

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