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Cited by 349Gut microbiota and healthOral microbiology and periodontitis researchClostridium difficile and Clostridium perfringens research

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Co-occurrence of anaerobic bacteria in colorectal carcinomas

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Warren, René L, Freeman, Douglas J, Pleasance, Stephen, Watson, Peter, Moore, Richard A, Cochrane, Kyla, Allen-Vercoe, Emma, Holt, Robert A·2013·Microbiome
DOI 10.1186/2049-2618-1-16PMC PMC3971631
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Abstract

Background: Numerous cancers have been linked to microorganisms. Given that colorectal cancer is a leading cause of cancer deaths and the colon is continuously exposed to a high diversity of microbes, the relationship between gut mucosal microbiome and colorectal cancer needs to be explored. Metagenomic studies have shown an association between Fusobacterium species and colorectal carcinoma. Here, we have extended these studies with deeper sequencing of a much larger number (n = 130) of colorectal carcinoma and matched normal control tissues. We analyzed these data using co-occurrence networks in order to identify microbe-microbe and host-microbe associations specific to tumors. Results: We confirmed tumor over-representation of Fusobacterium species and observed significant co-occurrence within individual tumors of Fusobacterium, Leptotrichia and Campylobacter species. This polymicrobial signature was associated with over-expression of numerous host genes, including the gene encoding the pro-inflammatory chemokine Interleukin-8. The tumor-associated bacteria we have identified are all Gram-negative anaerobes, recognized previously as constituents of the oral microbiome, which are capable of causing infection. We isolated a novel strain of Campylobacter showae from a colorectal tumor specimen. This strain is substantially diverged from a previously sequenced oral Campylobacter showae isolate, carries potential virulence genes, and aggregates with a previously isolated tumor strain of Fusobacterium nucleatum. Conclusions: A polymicrobial signature of Gram-negative anaerobic bacteria is associated with colorectal carcinoma tissue.

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Figures

Figure 1 Microbial abundance in CRC and unaffected control gut mucosa tissue measured by RNA-Seq. (A) Phylogenetic abundance inferred from unique metatranscriptomics read pair mapping. Genera (n = 57) comprising, collectively, 99% of the microbial sequence data are shown. Values presented are the mean percent abundance ± SE, on a log10 scale. Genera are ordered top to bottom by decreasing read pair abundance in control tissue. The names of genera nominally over-represented in tumor (P <0.05) are red, and the names of genera nominally under-represented in tumor (P <0.05) are green. Genera indicated with an asterisk are significantly over-represented in tumor samples after multiple hypothesis testing correction (q <0.05); (B) Species distribution of uniquely mapped Fusobacterium, Leptotrichia, Campylobacter and Selenomonas normalized sequence pairs.
Figure 1 Microbial abundance in CRC and unaffected control gut mucosa tissue measured by RNA-Seq. (A) Phylogenetic abundance inferred from unique metatranscriptomics read pair mapping. Genera (n = 57) comprising, collectively, 99% of the microbial sequence data are shown. Values presented are the mean percent abundance ± SE, on a log10 scale. Genera are ordered top to bottom by decreasing read pair abundance in control tissue. The names of genera nominally over-represented in tumor (P <0.05) are red, and the names of genera nominally under-represented in tumor (P <0.05) are green. Genera indicated with an asterisk are significantly over-represented in tumor samples after multiple hypothesis testing correction (q <0.05); (B) Species distribution of uniquely mapped Fusobacterium, Leptotrichia, Campylobacter and Selenomonas normalized sequence pairs.CC BY · PubMed Central
Figure 2 Bacterial co-occurrence and correlation with host gene expression. (A) The co-occurrence of microbes was inferred by pairwise correlation of sequence counts for all genera in Figure 1. Significance was determined by 1,000 iterations of random re-assignment of sequence read pairs to subjects, with re-calculation of Pearson correlation coefficients. Interactions of significantly differentially abundant genera are illustrated here in a network diagram, constructed using Cytoscape [25]. Pearson R values ranged from a low of 0.51 (Holdemania-Haemophilus) to a high of 0.97 (Fusobacterium-Selenomonas). Each prefix within a node of the network indicates a bacterial genus: Sp: Sphingobium; Sh: Sphingopyxis; Si: Sphingomonas; La: Lactobacillus; Bi: Bifidobacterium; No: Novosphingobium; Se: Selenomonas; Fu: Fusobacterium; Ro: Roseburia; Eg: Eggerthella; Bl: Blautia; Cl: Clostridium; Ve: Veillonella; Ha: Haemophilus; Co: Coprococcus; Ps: Pseudoflavonifractor; Do: Dorea; Ru: Ruminococcus; Bu: Butyrivibrio; Cs: Clostridiales; Ca: Campylobacter; Le: Leptotrichia; Pa: Parabacteroides; Ba: Bacteroides; Rm: Ruminococcaceae; Er: Erysipelotrichaceae; En: Enterococcus; Br: Burkholderia; Ph: Phascolarctobacterium; Lw: Lawsonia; Al: Alistipes; Su: Subdoligranulum; Od: Odoribacter; Po: Porphyromonas; Bk: Burkholderiales; Go: Gordonibacter; Gr: Granulicatella; Di: Dialister; Fa: Faecalibacterium; Eu: Eubacterium; De: Desulfovibrio; Pr: Parvimonas; Pe: Peptostreptococcus; An: Anaerotruncus; Ci: Collinsella; Or: Oribacterium; Ho: Holdemania; Es: Escherichia; Pv: Prevotella; Me: Methylobacterium; Bd: Bradyrhizobium; Ra: Ralstonia. (B) The host factor and microbe interaction was inferred by comparing the relative read pair abundance in the tumor vs. the control samples for each patient. The red and green nodes correspond to microbes with at least nominally significant differential abundance between tumor and control tissues.
Figure 2 Bacterial co-occurrence and correlation with host gene expression. (A) The co-occurrence of microbes was inferred by pairwise correlation of sequence counts for all genera in Figure 1. Significance was determined by 1,000 iterations of random re-assignment of sequence read pairs to subjects, with re-calculation of Pearson correlation coefficients. Interactions of significantly differentially abundant genera are illustrated here in a network diagram, constructed using Cytoscape [25]. Pearson R values ranged from a low of 0.51 (Holdemania-Haemophilus) to a high of 0.97 (Fusobacterium-Selenomonas). Each prefix within a node of the network indicates a bacterial genus: Sp: Sphingobium; Sh: Sphingopyxis; Si: Sphingomonas; La: Lactobacillus; Bi: Bifidobacterium; No: Novosphingobium; Se: Selenomonas; Fu: Fusobacterium; Ro: Roseburia; Eg: Eggerthella; Bl: Blautia; Cl: Clostridium; Ve: Veillonella; Ha: Haemophilus; Co: Coprococcus; Ps: Pseudoflavonifractor; Do: Dorea; Ru: Ruminococcus; Bu: Butyrivibrio; Cs: Clostridiales; Ca: Campylobacter; Le: Leptotrichia; Pa: Parabacteroides; Ba: Bacteroides; Rm: Ruminococcaceae; Er: Erysipelotrichaceae; En: Enterococcus; Br: Burkholderia; Ph: Phascolarctobacterium; Lw: Lawsonia; Al: Alistipes; Su: Subdoligranulum; Od: Odoribacter; Po: Porphyromonas; Bk: Burkholderiales; Go: Gordonibacter; Gr: Granulicatella; Di: Dialister; Fa: Faecalibacterium; Eu: Eubacterium; De: Desulfovibrio; Pr: Parvimonas; Pe: Peptostreptococcus; An: Anaerotruncus; Ci: Collinsella; Or: Oribacterium; Ho: Holdemania; Es: Escherichia; Pv: Prevotella; Me: Methylobacterium; Bd: Bradyrhizobium; Ra: Ralstonia. (B) The host factor and microbe interaction was inferred by comparing the relative read pair abundance in the tumor vs. the control samples for each patient. The red and green nodes correspond to microbes with at least nominally significant differential abundance between tumor and control tissues.CC BY · PubMed Central
Figure 3 Genome sequence analyses of C. showae tumor strain CC57C. (A) Sequence alignments between the assemblies of the CRC tumor-associated C. showae CC57C genome and that of its closest known relative reference, C. showae RM3277. Velvet contigs from the CC57C strain were aligned to the HMP reference strain (NCBI Reference Sequence: NZ_ACVQ00000000.1) using cross_match (http://www.phrap.org), ordered and oriented based on the sequence alignments. The black and grey rectangles represent each genome sequences and indicate the absence and presence of alignments, in that order. Co-linear and inverted sequence alignment blocks are shown in blue and pink, respectively. In average, the CC57C genome assembly is 92.5% identical to that of the RM3277 strain, with 85.4% sequence coverage (represented by the dark blue and lack of bars in the histogram above the alignment, respectively). (B) Gene organization of the type IV secretion system (T4SS) operon in A. tumefaciens (plasmid pTiAB2/73 vir region AF329849), H. pylori strain 26695 (NC_000915.1), C. rectus (NZ_ACFU0100008) and C. showae CC57C (AOTD01000166). Components of the T4SS found in the CC57C strain are color-coded in other organisms and include VirB4 (red), VirB8 (blue), VirB9 (green), VirB10 (orange), VirB11 (yellow) and VirD4 (purple). Other annotated genes within the CC57C operon and with homologs in C. rectus are shown using a dark grey scale. Annotated genes in C. rectus, H. pylori and A. tumefaciens are shown in light grey. Hypothetical protein coding genes are depicted in white. CC57C contig AOTD01000166 with the T4SS shown in (B) does not have any similarity to the C. showae RM3277 strain and thus is not represented in the alignment shown in (A).
Figure 3 Genome sequence analyses of C. showae tumor strain CC57C. (A) Sequence alignments between the assemblies of the CRC tumor-associated C. showae CC57C genome and that of its closest known relative reference, C. showae RM3277. Velvet contigs from the CC57C strain were aligned to the HMP reference strain (NCBI Reference Sequence: NZ_ACVQ00000000.1) using cross_match (http://www.phrap.org), ordered and oriented based on the sequence alignments. The black and grey rectangles represent each genome sequences and indicate the absence and presence of alignments, in that order. Co-linear and inverted sequence alignment blocks are shown in blue and pink, respectively. In average, the CC57C genome assembly is 92.5% identical to that of the RM3277 strain, with 85.4% sequence coverage (represented by the dark blue and lack of bars in the histogram above the alignment, respectively). (B) Gene organization of the type IV secretion system (T4SS) operon in A. tumefaciens (plasmid pTiAB2/73 vir region AF329849), H. pylori strain 26695 (NC_000915.1), C. rectus (NZ_ACFU0100008) and C. showae CC57C (AOTD01000166). Components of the T4SS found in the CC57C strain are color-coded in other organisms and include VirB4 (red), VirB8 (blue), VirB9 (green), VirB10 (orange), VirB11 (yellow) and VirD4 (purple). Other annotated genes within the CC57C operon and with homologs in C. rectus are shown using a dark grey scale. Annotated genes in C. rectus, H. pylori and A. tumefaciens are shown in light grey. Hypothetical protein coding genes are depicted in white. CC57C contig AOTD01000166 with the T4SS shown in (B) does not have any similarity to the C. showae RM3277 strain and thus is not represented in the alignment shown in (A).CC BY · PubMed Central
Figure 4 F. nucleatum and C. showae co-aggregation. Phase-contrast microscopy images of (A) F. nucleatum CC53 alone, (B) C. showae CC57C alone and (C) a mixture of CC53 and CC57C, following incubation in co-aggregation buffer (see methods). The long, thin cells of CC53 readily self-aggregate when incubated in aggregation buffer alone (panel A), but also show aggregative ability with the much smaller CC57C coccobacilli (panel C). Images were taken using a Leica DM750 microscope fitted with a 100× oil objective, using the Leica Application Suite LAS EZ Version 1.7.0 software.
Figure 4 F. nucleatum and C. showae co-aggregation. Phase-contrast microscopy images of (A) F. nucleatum CC53 alone, (B) C. showae CC57C alone and (C) a mixture of CC53 and CC57C, following incubation in co-aggregation buffer (see methods). The long, thin cells of CC53 readily self-aggregate when incubated in aggregation buffer alone (panel A), but also show aggregative ability with the much smaller CC57C coccobacilli (panel C). Images were taken using a Leica DM750 microscope fitted with a 100× oil objective, using the Leica Application Suite LAS EZ Version 1.7.0 software.CC BY · PubMed Central

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Metadata

Authors
Warren, R. L., Freeman, D. J., Pleasance, S., Watson, P., Moore, R. A., Cochrane, K., Allen-Vercoe, E., & Holt, R. A.
Affiliations
  • BC Cancer Agency (CA)
  • University of Guelph (CA)
Corresponding author
Holt, Robert A
ORCID
Venue
Microbiome
Publisher
Springer Science and Business Media LLC
Published
2013-05-15
Volume
1
Issue
1
Pages
16-16
ISSN
2049-2618 (ISSN-L)
DOI
10.1186/2049-2618-1-16
PMC
PMC3971631
OpenAlex
W2122131141
Cited by
348
References
50
Citations by year
2026: 18 · 2025: 24 · 2024: 30 · 2023: 28 · 2022: 37 · 2021: 35 · 2020: 39 · 2019: 33 · 2018: 26 · 2017: 20 · 2016: 27 · 2015: 21 · 2014: 8 · 2013: 1
FWCI
8.52
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Microbiome (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Summit (Simon Fraser University) (submittedVersion, cc-by)
Funders
  • Genome British Columbia (SOF128)
  • Canadian Institutes of Health Research
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
  • Health Sciences › Medicine › Infectious Diseases › Clostridium difficile and Clostridium perfringens research
Keywords
colorectal cancer, anaerobic bacteria, Fusobacterium, Campylobacter showae, Leptotrichia, host-microbe interactions, co-occurrence networks, interleukin-8, Gram-negative bacteria, gut microbiota, Fusobacterium nucleatum, virulence genes, oral microbiota

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