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Genomic analysis of Helicobacter himalayensis sp. nov. isolated from Marmota himalayana

Abstract

Background

Helicobacter himalayensis was isolated from Marmota himalayana in the Qinghai-Tibet Plateau, China, and is a new non-H. pylori species, with unclear taxonomy, phylogeny, and pathogenicity.

Results

A comparative genomic analysis was performed between the H. himalayensis type strain 80(YS1)T and other the genomes of Helicobacter species present in the National Center for Biotechnology Information (NCBI) database to explore the molecular evolution and potential pathogenicity of H. himalayensis. H. himalayensis 80(YS1)T formed a clade with H. cinaedi and H. hepaticus that was phylogenetically distant from H. pylori. The H. himalayensis genome showed extensive collinearity with H. hepaticus and H. cinaedi. However, it also revealed a low degree of genome collinearity with H. pylori. The genome of 80(YS1)T comprised 1,829,936 bp, with a 39.89% GC content, a predicted genomic island, and 1769 genes. Comparatively, H. himalayensis has more genes for functions in “cell wall/membrane/envelope biogenesis” and “coenzyme transport and metabolism” sub-branches than the other compared helicobacters, and its genome contained 42 virulence factors genes, including that encoding cytolethal distending toxin (CDT).

Conclusions

We characterized the H. himalayensis 80(YS1)T genome, its phylogenetic position, and its potential pathogenicity. However, further understanding of the pathogenesis of this potentially pathogenic bacterium is required, which might help to manage H. himalayensis-induced diseases.

Background

The Helicobacter genus comprises gram-negative bacteria with characteristic spiral shapes [1]. The type species, Helicobacter pylori, was the first cultivated species of the genus. H. pylori was first isolated from in the stomachs of patients with gastritis and peptic ulceration in 1984 [2]. Currently, over 30 species have been isolated, including many candidate or unclassified species [3]. Except for H. pylori, most of the other Helicobacter have been isolated and identified from wild animals, including rodents, cats, dogs, rabbits, chickens, sheep, cattle, swine, cheetahs, ferrets, dolphins, whales, and non-human primates [4,5,6,7,8]. In addition, certain Helicobacters were isolated from laboratory animals [7, 9,10,11]. Convincing evidence has identified H. pylori as a causative bacterium of gastric adenocarcinoma, mucosa-associated lymphoid tissue lymphoma, and peptic ulcer in humans [12]. However, studies of the association between diseases and non-H. pylori species are lacking. There are only a few reports about non-H. pylori infection in humans, mostly in immunocompromised patients [13,14,15,16]. Thus, the pathogenicity and genetic characteristics of non-H. pylori remain to be explored.

In 2015, we reported the isolation of Helicobacter himalayensis sp. nov. strain 80(YS1)T from Marmota himalayana in the Qinghai-Tibet Plateau, China. This was the first report that a new species of helicobacter could be isolated and cultured directly in the gastrointestinal mucosa of a Marmota himalayana. M. himalayana live in the Qinghai-Tibet Plateau, a relatively isolated environment with an average altitude over 4000 m, which induces great differences in animal and plant biodiversity compared with plain regions. H. himalayensis, a new species of Helicobacter isolated from this plateau, may have unique evolutionary, pathogenic, and drug resistance characteristics because of its unique natural environment and host.

With development of next-generation sequencing technologies, many whole-genome sequences for non-H. pylori species have been generated in the past five years [17,18,19,20]. The deposition of this genomic data in the National Center for Biotechnology Information (NCBI) database has encouraged research seeking a deeper understanding of Helicobacter species at the genomic level. Therefore, in the present study we aimed to sequence the whole genome of H. himalayensis, and to explore the molecular evolution and potential pathogenicity of H. himalayensis using genome-wide comparative analyses based on the existing genomes of Helicobacter species.

Results

General features of H. himalayensis genome

The nucleotide sequence of the genome of H. himalayensis strain 80(YS1)T was deposited in the NCBI Databases with accession No. CP014991. The final genome assembly of H. himalayensis 80(YS1)T contained 103 contigs with a draft genome size of 1,829,936 bp and a genomic GC content of 39.89% (Table 1). The general annotation was performed by the NCBI Prokaryotic Genome Annotation Pipeline (PGAP). It predicted 1769 genes in total, among which 1664 belongs to predicted proteins, 1290 (77.52%) could be assigned to a function with a high level of confidence, and 374 (22.48%) were assigned as hypothetical proteins. The genome contained 39 tRNAs, a pair of 16S rRNAs, a pair of 23S rRNAs, a pair of 5S rRNAs, 3 ncRNAs and one phage intergrase, however, no plasmids or insertion sequence (IS) elements were found. Moreover, a genomic island predicted by a online tool IslandViewer 4, was named HhiG1 in the genome. The genomic island contained multiple genes encoding four restriction endonuclease subunit S, a restriction endonuclease subunit R, a type I restriction-modification system subunit M, a type II toxin-antitoxin system RelE/ParE family toxin, a type II toxin-antitoxin system RelB/DinJ family antitoxin, and site-specific integrase, as well as some hypothetical proteins (See Supplementary Table 1, Additional File 1). HhiG1 comprised 52,677 bp at position 1,738,356 to 1,791,033 in genome .

Table 1 General features of the H. himalayensis, H. cinaedi, H. hepaticus and H. pylori

Phylogenetic relationship and genomic collinearity features of H. himalayensis with other Helicobacter species

Seventeen whole-genome sequences of Helicobacter species, including H. himalayensis, and two whole-genome sequences of Campylobacter jejuni and Acetobacter pasteurianus as outgroups, were selected to construct the phylogenetic tree. H. himalayensis was in a single clade that was adjacent to H. cinaedi, H. bilis and H. hepaticus. These three Helicobacter spp. were in a node that was far away from H. pylori (Fig. 1a). Moreover, the phylogenetic relationship between H. himalayensis and the selected sixteen Helicobacter species, based on the core-genome, were also analyzed (Fig. 1b). The results were consistent with the phylogenetic map based on the Helicobacter genome sequences, which indicated that H. himalayensis is evolutionarily close to H. hepaticus and H. cinaedi but not to H. pylori. The general genomic features of H. himalayensis, H. cinaedi, H. hepaticus, and H. pylori are presented for comparison in Table 1. H. himalayensis has a larger genome than that of H. hepaticus (1,799,146 bp) and smaller genome than that of H. cinaedi (2,240,130 bp) [21]. The genomes of all three Helicobacter spp. were larger than that of H. pylori. All three Helicobacter spp. have phages or phage like elements in their genome, but H. pylori has none. By contrast, H. pylori has IS elements (IS605 and IS606), whereas H. himalayensis, H. cinaedi, and H. hepaticus do not have.

Fig. 1
figure 1

Phylogenetic tree produced by the comparison of the genome sequences of selected bacteria using MEGA X. a Phylogenetic tree based on the pan-genomes of the seventeen Helicobacter species and two outgroups. Campylobacter jejuni NCTC 11168 and Acetobacter pasteurianus IFO 3283–32 were used as outgroups. b Phylogenetic tree based on the core-genomes of the seventeen Helicobacter species without outgroup. The scale indicates the divergence (substitutions/site). The labeled numbers represent the posterior mean of rates on the corresponding branches

Figure 2 shows a comparison of the gene sequences of H. himalayensis with those of H. cinaedi, H. hepaticus, and H. pylori at the whole-genome scale. The results revealed a very high degree of genome collinearity between H. himalayensis and H. hepaticus (Fig. 2a), as well as between H. himalayensis and H. cinaedi (Fig. 2b). However, it also revealed a low degree of genome collinearity between H. himalayensis and H. pylori (Fig. 2c).

Fig. 2
figure 2

Map of genome collinearity between H. himalayensis with H. hepaticus, H. cinaedi, and H. pylori. a H. hepaticus. b H. cinaedi. c H. pylori. A red line indicates that the gene sequence is transcribed in the forward direction, and a blue line indicates that the gene is transcribed in the reverse orientation. The homologous sequences was identified as > 100 bp in length and at least 70% homology

Function analysis of H. himalayensis

Of the 1664 predicted proteins, 1184 were clearly assigned to a functional classification with evidence and 202 were poorly functionally characterized using the Clusters of Orthologous Groups (COG) database (Fig. 3). Moreover, there were 105 proteins without any annotations in the COG database and 173 were not in the database. The numbers of genes identified through functional classification in the COG database for “information storage and processing”, “metabolism”, and “cellular processes and signaling” were 284, 546, and 426 respectively. Compared with H. cinaedi, H. hepaticus, H. bilis, and H. pylori, H. himalayensis has more genes for functions in the “cell wall/membrane/envelope biogenesis” and “coenzyme transport and metabolism” sub-branches, but fewer genes for functions in the “cell cycle control/ cell division/ chromosome partitioning”, “intracellular trafficking/ secretion/ vesicular transport”, “lipid transport and metabolism” and “carbohydrate transport and metabolism” sub-branches (Table 2). The circular genome atlas of H. himalayensis integrating different kinds of information is shown in Fig. 4, that including the protein-coding genes, tRNA and rRNA genes, GC content and GC skew information.

Fig. 3
figure 3

COG functional classification of genes belonging to H. himalayensis

Table 2 Proportion of genes in COG function clssification for helicobacters
Fig. 4
figure 4

Circular genome atlas of H. himalayensis

In addition, Forty-two genes were predicted to match virulence factors genes in the VFDB from Helicobacter genus, and 83.3% (35/42) of them were associated with flagella motility and bacterial invasion (See Supplementary Table 2, Additional File 2). Other virulence factors included cytolethal distending toxin (cdtA, cdtB, cdtC), lipopolysaccharide Lewis antigens (futA), neutrophil activating protein (napA), autoinducer-2 production protein (luxS), and catalase (katA). The H. himalayensis genome does not contain a urease and the Cag pathogenic island, like H. pylori. However, the genome contained other predicted virulence factors associated with migration, invasion, colonization, and carcinogenesis, which might be pathogenic to the host.

Discussion

In the present study, the whole genome sequence data of H. himalayensis, a new species of Helicobacter, were obtained. The H. himalayensis genome was compared with those of other Helicobacter species deposited in the NCBI database. The results of the comparative genomic analyses not only confirmed phylogenetic position of H. himalayensis in relation to other Helicobacter species, but also predicted its potential pathogenicity by matching the virulence factor genes in VFDB.

Several smaller stretches of anomalous GC content were identified using the GC mol% content analysis around the genome (Fig. 4). In pathogenic bacteria, this type of anomalous GC content is usually associated with genome islands [22]. For example, the H. pylori cag pathogenicity island is intimately associated with increased potential to cause more severe pathology, including cancer and gastric ulcers [23]. There were five fragments with anomalous GC content in the H. himalayensis genome, and the predicted genome island HhiG1 was covered by one of the five fragments, which suggested that HhiG1 might be related with the pathogenicity of H. himalayensis.

H. himalayensis is phylogenetically close to H. cinaedi and H. hepaticus, based on the whole genome sequence, which is consistent with the previously reported phylogenetic relationship based on the analysis of housekeeping gene analysis [24]. Moreover, the predicted genes of H. himalayensis had higher identity to those of H. cinaedi and H. hepaticus than to those of H. pylori, which confirmed the previous result of evolutionary analyses from another perspective. H. cinaedi was first isolated from a rectal swab from a homosexual men, while H. hepaticus was first isolated from the livers of mice. Both of them are unable to colonize the gastric mucosa, because they do not express a urease to overcome the acidic environment in the stomach. These helicobacters with the term “enterohepatic helicobacters (EHH)” colonize the intestinal mucosa or the liver, and are associated with chronic liver or intestinal inflammation [25]. Recently, many cases of EHH infection in humans were reported, mainly in immunocompromised patients [3]. H. himalayensis is closely related to H. cinaedi and H. hepaticus; therefore, H. himalayensis is predicted to have similar pathogenic effects.

Based on the genomic functional analysis of H. himalayensis, we found that in addition to the 35 virulence factor genes related to flagellar motility, H. himalayensis also has genes encoding CDT, lipopolysaccharide Lewis antigens, neutrophil activating protein, autoinducer-2 production protein, and catalase. These virulence factor genes from the VFDB have been identified in H. hepaticus, H. pylori, or other bacteria in experiments [26]. CDT is a typical virulence factor, having DNase I activity that induces DNA double-strand breaks, apoptosis, and G2/M cell cycle arrest in cultured mammalian cells. In vivo, CDT is also associated with carcinogenesis [27, 28]. The Lewis antigen (encoded by futA) suppresses the immune response to the bacteria permits it to adhere to the gastric mucosa, or has a role in certain aspects of autoimmunity [29]. Neutrophil activating protein (encoded by napA) could promote the production of reactive oxygen radicals in H. pylori or the adhesion of human neutrophils to endothelial cells [30, 31]. Autoinducer-2, encoded by luxS, is produced and detected by a wide variety of bacteria, and is presumed to facilitate interspecies communications [32]. katA is a gene coding catalase, which protects against reactive oxygen species damage [33]. It is hypothesized that these orthologous genes in the H. himalayensis genome have similar effects and may also confer potential pathogenicity on the host. Till now, no animal experiment has been done with H. himalayensis infection, but the result of histopathological examination for the gastrointestinal mucosa of M. himalayana where H. himalayensis isolated showed obvious lesions, while the gastrointestinal mucosa of M. himalayana without H. himalayensis isolated had no lesions (See Supplementary Figure 1, Additional File 3). Therefore, whether H. himalayensis containing these virulence factor genes is a pathogen to host, should be confirmed by further experimental studies.

Conclusions

The present study described the characteristic of the H. himalayensis genome, analyzed its phylogenetic relationship with other helicobacters, and highlighted the potential pathogenicity of 80(YS1)T to the host. Further research into the pathogenesis of this potentially pathogenic bacterium is necessary and might help to manage diseases caused by H. himalayensis.

Methods

Bacterial strain

H. himalayensis sp. nov strain 80(YS1)T (identical to CGMCC1.12864 and DSM28742) was used in this study. It was cultured as previously described, with some modifications [24]. Briefly, the stored strain was revived and cultured on brain heart infusion agar plates containing 8% (v/v) horse blood, 2.5 μg/mL trimethoprim, 10 μg/mL vancomycin, and 1.25 U/mL polymyxin B, under a hypoxic atmosphere (5% CO2, 5% H2, 0.5% O2, and 90% N2) at 35 °C for 3–5 days.

Genome DNA extraction and whole genome sequencing

A Wizard® Genomic DNA Purification kit (Promega, Madison, WI, USA) was used to isolate the genomic DNA from collected cells of strain 80(YS1)T, according to the manufacturer’s instructions. Sequencing and library construction were carried out using the Hiseq2000 90 bp paired end sequencing platform (Illumina, San Diego, CA, USA. In total, 273,256 polymerase reads (242 bp/reads) were generated with 33.1× theoretical coverage. After filtering out all low quality reads, 266,891 reads (97.7%) were assembled into 103 contigs using 454/Roche Newbler (Roche Molecular Systems Inc., Branchburg, NJ, USA). All the contigs were sorted using the genomes of H. pylori 26695 and H. cinaedi ATCC BAA847, and verified by sequencing using an ABI BigDye Terminator V3.1 Kit and ABI 3730 sequencer (Applied Biosystems, Foster City, CA, USA). Conventional Sanger sequencing of polymerase chain reaction (PCR) fragments, based on brute force PCR, was used to for gap filling among the contigs and scaffolds to complete the genome.

Comparative genomics analysis

The assembled genome of strain 80(YS1)T was compared with the available Helicobacter spp. genomes deposited in the NCBI Database. Sixteen Helicobacter spp. and two outgroup stains (Campylobacter jejuni and Acetobacter pasteurianus) were selected, and the whole genomes were download from NCBI Database. For pan-genome analysis, SNP sequence from the selected genomes were generated using KSNP3 (version 3.0) [34], and analysed using MEGA X [35] to construct the phylogenetic trees by Neighbor-Joining algorithm with 1000 bootstraps. For core-genome analysis, genes present in each selected Helicobacter genome were classified as core. The core-genome compared files were generated using roary (version 3.12.0) with a BLAST cutoff of 70% identity of gene (−i 70). MEGA X was used to construct the phylogenetic trees by Neighbor-Joining algorithm with 1000 bootstraps based on the core-genome. Collinearity analysis of H. hemalayensis with other three helicobacter species were performed using BLASTn. To identify homologous sequences (> 100 bp in length and at least 70% homology), 80(YS1)T genomic contigs were aligned with those of three other Helicobacter species, using BLASTn as implemented in NCBI BLAST+ v. 2.2.8 [36]. Progressive Mauve, with match seed weight = 15, minimum Locally Collinear Block weight = 45, minimum island size = 50, maximum backbone gap size = 50, and a minimum backbone size = 50 [37] was used to compare the genomes of the Helicobacter spp. using multiple sequence alignment. CIRCOS v. 0.64 [38] was used to construct a visual representation of the links between homologous regions of H. himalayensis sp. nov strain 80(YS1)T and those of three other Helicobacter species.

Function analysis of H. himalayensis

The identified H. himalayensis proteins were assigned and annotated to the database of COG by eggnog-mapper (version 2) [39]. COG classification was conducted by using DIAMOND v0.8.37.99 (−evalue 1e-5) [40]. The results of the COG classification were visualized using R (version 3.6.2). The genomic island of H. himalayensis was predicted by an online tool IslandViewer 4 [41] (http://www.pathogenomics.sfu.ca/islandviewer/upload/). The virulence factors of H. himalayensis were searched in the virulence factors database (VFDB) using the integrated and automatic pipeline, Vfanalyzer [42] (http://www.mgc.ac.cn/cgi-bin/VFs/v5/main.cgi?JobID=May_28-1427107863).

Availability of data and materials

The datasets analysed during the current study are available in the NCBI repository, accession numbers: NZ_CP014991 for H. himalayensis strain 80 (YS1)T, complete genome; NC_008229 for H. acinonychis Sheeba, complete genome; NZ_CP019645 for H. bilis strain AAQJH, complete genome; NC_015674 for H. bizzozeronii CIII-1, complete genome; NZ_CM000776 for H. canadensis MIT 98–5491; NC_017735 for H. cetorum MIT 99–5656, complete genome; NZ_LR134518 for H. cholecystus strain NCTC13205, complete genome; AP012492 for H. cinaedi ATCC BAA-847, complete genome; NC_014810 for H. felis ATCC 49179, complete genome; NC_019674 for H. heilmannii ASB1.4, complete genome; AE017125 for H. hepaticus ATCC 51449, complete genome; NC_013949 for H. mustelae 12198, complete genome; NZ_LR134509 for H. pullorum NCTC13154, complete genome; CP003904 for H. pylori 26695, complete genome; NC_017361 for H. pylori SouthAfrica7, complete genome; CP005491 for H. pylori UM299, complete genome; AP023039 for H. suis NHP19–4003, complete genome; NC_017111 for Acetobacter pasteurianus IFO 3283–32, complete genome; NC_002163 for Campylobacter jejuni NCTC 11168, complete genome.

Abbreviations

NCBI:

National Center for Biotechnology Information

CDT:

Cytolethal Distending Toxin

IS:

Insertion Sequence

COG:

Clusters of Orthologous Groups

VFDB:

Virulence factors database

EHH:

Enterohepatic helicobacters

References

  1. Sycuro LK, Pincus Z, Gutierrez KD, Biboy J, Stern CA, Vollmer W, et al. Peptidoglycan crosslinking relaxation promotes Helicobacter pylori's helical shape and stomach colonization. Cell. 2010;141(5):822–33.

  2. Marshall BJ, Warren JR. Unidentified curved bacilli in the stomach of patients with gastritis and peptic ulceration. Lancet. 1984;1(8390):1311–5.

    Article  CAS  Google Scholar 

  3. Péré-Védrenne C, Flahou B, Loke MF, Ménard A, Vadivelu J. Other Helicobacters, gastric and gut microbiota. Helicobacter. 2017;22(Suppl 1):e12407.

  4. Van den Bulck K, Decostere A, Baele M, Driessen A, Debongnie JC, Burette A, et al. Identification of non-Helicobacter pylori spiral organisms in gastric samples from humans, dogs, and cats. J Clin Microbiol. 2005;43(5):2256–60.

  5. Neiger R, Dieterich C, Burnens A, Waldvogel A, Corthésy-Theulaz I, Halter F, et al. Detection and prevalence of Helicobacter infection in pet cats. J Clin Microbiol. 1998;36(3):634–7.

  6. Hwang CY, Han HR, Youn HY. Prevalence and clinical characterization of gastric Helicobacter species infection of dogs and cats in Korea. J Vet Sci. 2002;3(2):123–33.

  7. O'Rourke JL, Solnick JV, Neilan BA, Seidel K, Hayter R, Hansen LM, et al. Description of 'Candidatus Helicobacter heilmannii' based on DNA sequence analysis of 16S rRNA and urease genes. Int J Syst Evol Microbiol. 2004;54(Pt 6):2203–11.

  8. Collado L, Jara R, González S. Description of Helicobacter valdiviensis sp. nov., an Epsilonproteobacteria isolated from wild bird faecal samples. Int J Syst Evol Microbiol. 2014;64:1913-9.

  9. Franklin CL, Beckwith CS, Livingston RS, Riley LK, Gibson SV, Besch-Williford CL, et al. Isolation of a novel Helicobacter species, Helicobacter cholecystus sp. nov., from the gallbladders of Syrian hamsters with cholangiofibrosis and centrilobular pancreatitis. J Clin Microbiol. 1996;34(12):2952–8.

  10. Coldham T, Rose K, O'Rourke J, Neilan BA, Dalton H, Lee A, et al. Detection, isolation, and characterization of Helicobacter species from the gastrointestinal tract of the brushtail possum. Appl Environ Microbiol. 2011;77(5):1581–7.

  11. Shen Z, Fox JG, Dewhirst FE, Paster BJ, Foltz CJ, Yan L, et al. Helicobacter rodentium sp. nov., a urease-negative Helicobacter species isolated from laboratory mice. Int J Syst Bacteriol. 1997;47(3):627–34.

  12. Sonnenberg A. Review article: historic changes of Helicobacter pylori-associated diseases. Aliment Pharmacol Ther. 2013;38(4):329–42.

  13. Saito S, Tsukahara M, Ohkusu K, Kurai H. Helicobacter fennelliae bacteremia: three case reports and literature review. Medicine. 2016;95(18):e3556.

  14. Shimizu Y, Gomi H, Ishioka H, Isono M. Refractory to treat Helicobacter cinaedi bacteremia with bilateral lower extremities cellulitis in an immunocompetent patient. IDCases. 2016;5:9–11.

  15. Hayashi T, Tomida J, Kawamura Y, Yoshida M, Yokozawa I, Kaneko S. Unusual manifestation of Helicobacter cinaedi infection: a case report of intracranial subdural empyema and bacteremia. BMC Infect Dis. 2017;17(1):40.

  16. Katsuma A, Yamamoto I, Tsuchiya Y, Kawabe M, Yamakawa T, Katsumata H, et al. Helicobacter cinaedi bacteremia with cellulitis in a living-donor kidney transplant recipient identified by matrix-assisted laser desorption ionization time-of-flight mass spectrometry: a case report. BMC Res Notes. 2017;10(1):87.

  17. Behrens W, Bönig T, Suerbaum S, Josenhans C. Genome sequence of Helicobacter pylori hpEurope strain N6. J Bacteriol. 2012;194(14):3725–6.

  18. Choo SW, Ang MY, Fouladi H, Tan SY, Siow CC, Mutha NV, et al. HelicoBase: a Helicobacter genomic resource and analysis platform. BMC Genomics. 2014;15:600.

  19. Clancy CD, Forde BM, Moore SA, O'Toole PW. Draft genome sequences of Helicobacter pylori strains 17874 and P79. J Bacteriol. 2012;194(9):2402.

  20. Duncan SS, Bertoli MT, Kersulyte D, Valk PL, Tamma S, Segal I, et al. Genome Sequences of Three hpAfrica2 Strains of Helicobacter pylori. Genome Announc. 2013;1(5):e00729-13.

  21. Miyoshi-Akiyama T, Takeshita N, Ohmagari N, Kirikae T. Complete genome sequence of Helicobacter cinaedi type strain ATCC BAA-847. J Bacteriol. 2012;194(20):5692.

  22. Novick RP, Ram G. The floating (pathogenicity) island: a genomic dessert. Trends Genet. 2016;32(2):114–26.

    Article  CAS  Google Scholar 

  23. Raei N, Latifi-Navid S, Zahri S. Helicobacter pylori cag Pathogenicity Island cagL and orf17 genotypes predict risk of peptic ulcerations but not gastric Cancer in Iran. Asian Pac J Cancer Prev. 2015;16(15):6645–50.

  24. Hu S, Jin D, Lu S, Liu S, Zhang J, Wang Y, et al. Helicobacter himalayensis sp. nov. isolated from gastric mucosa of Marmota himalayana. Int J Syst Evol Microbiol. 2015;65(Pt 6):1719–25.

  25. Fresia P, Jara R, Sierra R, Ferrés I, Greif G, Iraola G, et al. Genomic and clinical evidence uncovers the enterohepatic species Helicobacter valdiviensis as a potential human intestinal pathogen. Helicobacter. 2017;22(5):e12425.

  26. Chen L, Yang J, Yu J, Yao Z, Sun L, Shen Y, et al. VFDB: a reference database for bacterial virulence factors. Nucleic Acids Res. 2005;33(Database issue):D325–8.

    Article  CAS  Google Scholar 

  27. Ge Z, Feng Y, Ge L, Parry N, Muthupalani S, Fox JG. Helicobacter hepaticus cytolethal distending toxin promotes intestinal carcinogenesis in 129Rag2-deficient mice. Cell Microbiol. 2017;19(7):e12728.

  28. Ge Z, Rogers AB, Feng Y, Lee A, Xu S, Taylor NS, et al. Bacterial cytolethal distending toxin promotes the development of dysplasia in a model of microbially induced hepatocarcinogenesis. Cell Microbiol. 2007;9(8):2070–80.

    Article  CAS  Google Scholar 

  29. Moran AP, Prendergast MM. Molecular mimicry in Campylobacter jejuni and Helicobacter pylori lipopolysaccharides: contribution of gastrointestinal infections to autoimmunity. J Autoimmun. 2001;16(3):241–56.

  30. Satin B, Del Giudice G, Della Bianca V, Dusi S, Laudanna C, Tonello F, et al. The neutrophil-activating protein (HP-NAP) of Helicobacter pylori is a protective antigen and a major virulence factor. J Exp Med. 2000;191(9):1467–76.

  31. Nishioka H, Baesso I, Semenzato G, Trentin L, Rappuoli R, Del Giudice G, et al. The neutrophil-activating protein of Helicobacter pylori (HP-NAP) activates the MAPK pathway in human neutrophils. Eur J Immunol. 2003;33(4):840–9.

  32. Chen X, Schauder S, Potier N, Van Dorsselaer A, Pelczer I, Bassler BL, et al. Structural identification of a bacterial quorum-sensing signal containing boron. Nature. 2002;415(6871):545–9.

    Article  CAS  Google Scholar 

  33. Wu H, Soler-Garcia AA, Jerse AE. A strain-specific catalase mutation and mutation of the metal-binding transporter gene mntC attenuate Neisseria gonorrhoeae in vivo but not by increasing susceptibility to oxidative killing by phagocytes. Infect Immun. 2009;77(3):1091–102.

  34. Gardner SN, Slezak T, Hall BG. kSNP3.0: SNP detection and phylogenetic analysis of genomes without genome alignment or reference genome. Bioinformatics. 2015;31(17):2877–8.

    Article  CAS  Google Scholar 

  35. Kumar S, Stecher G, Li M, Knyaz C, Tamura K. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol. 2018;35(6):1547–9.

    Article  CAS  Google Scholar 

  36. Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, et al. BLAST+: architecture and applications. BMC Bioinformatics. 2009;10:421.

    Article  Google Scholar 

  37. Darling AE, Mau B, Perna NT. progressiveMauve: multiple genome alignment with gene gain, loss and rearrangement. PLoS One. 2010;5(6):e11147.

    Article  Google Scholar 

  38. Krzywinski M, Schein J, Birol I, Connors J, Gascoyne R, Horsman D, et al. Circos: an information aesthetic for comparative genomics. Genome Res. 2009;19(9):1639–45.

    Article  CAS  Google Scholar 

  39. Huerta-Cepas J, Forslund K, Coelho LP, Szklarczyk D, Jensen LJ, von Mering C, et al. Fast genome-wide functional annotation through Orthology assignment by eggNOG-mapper. Mol Biol Evol. 2017;34(8):2115–22.

    Article  CAS  Google Scholar 

  40. Buchfink B, Xie C, Huson DH. Fast and sensitive protein alignment using DIAMOND. Nat Methods. 2015;12(1):59–60.

    Article  CAS  Google Scholar 

  41. Bertelli C, Laird MR, Williams KP. Simon Fraser University research computing G, Lau BY, Hoad G, et al. IslandViewer 4: expanded prediction of genomic islands for larger-scale datasets. Nucleic Acids Res. 2017;45(W1):W30–W5.

    Article  CAS  Google Scholar 

  42. Liu B, Zheng D, Jin Q, Chen L, Yang J. VFDB 2019: a comparative pathogenomic platform with an interactive web interface. Nucleic Acids Res. 2019. https://0-doi-org.brum.beds.ac.uk/10.1093/nar/gky1080.

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Acknowledgements

Not applicable.

Funding

This work was supported by Beijing Natural Science Foundation [No. 7192240], National Natural Science Foundation of China [No. 81900386, 81760376], and Peking University Shougang Hospital [No. 2017-Yuan-LC-08, No. 2019-Yuan-LC- 05].

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Contributions

All authors read and approved the final manuscript. HS and ZF contributed to the conception and design of the work; HS, NL, ZX and WL contributed to the acquisition of data; ZX, CY, JD, WL and YL participated in the analysis and interpretation of data; NL and HS drafted the manuscript; HS, YL and ZF revised the manuscript and provided important suggestions.

Corresponding authors

Correspondence to Linlin Yan or Fan Zhao.

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Supplementary Information

Additional file 1: Supplementary Table 1.

Results of genomic island predicted by Island Viewer 4.

Additional file 2: Supplementary Table 2.

Virulence factors genes present in genome of H.himalayensis.

Additional file 3: Supplementary Figure 1.

Samples for histological examination. a Image and c histological examination of the intestinal mucosa of Marmota himalayana without H. himalayensis isolated (hematoxylin-eosin, original magnification × 100). A black arrow indicates normal histoarchitecture of the intestinal mucosa. b Image and d pathological examination of the intestinal mucosa of Marmota himalayana where H. himalayensis was isolated (hematoxylin-eosin, original magnification × 100). A black arrow indicates necrosis area and/or lesion area of the intestinal mucosa.

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Hu, S., Niu, L., Wu, L. et al. Genomic analysis of Helicobacter himalayensis sp. nov. isolated from Marmota himalayana. BMC Genomics 21, 826 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s12864-020-07245-y

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