The Colorectal Cancer Gut Environment Regulates Activity of the Microbiome and Promotes the Multidrug Resistant Phenotype of ESKAPE and Other Pathogens

The human gut microbiota in colorectal cancer patients have a distinct population compared to heathy counterparts. However, the activity (gene expression) of this community has not been investigated. ABSTRACT Taxonomic composition of the gut microbiota in colorectal cancer (CRC) patients is altered, a newly recognized driving force behind the disease, the activity of which has been overlooked. We conducted a pilot study on active microbial taxonomic composition in the CRC gut via metatranscriptome and 16S rRNA gene (rDNA) sequencing. We revealed sub-populations in CRC (n = 10) and control (n = 10) cohorts of over-active and dormant species, as changes in activity were often independent from abundance. Strikingly, the diseased gut significantly influenced transcription of butyrate producing bacteria, clinically relevant ESKAPE, oral, and Enterobacteriaceae pathogens. A focused analysis of antibiotic (AB) resistance genes showed that both CRC and control microbiota displayed a multidrug resistant phenotype, including ESKAPE species. However, a significant majority of AB resistance determinants of several AB families were upregulated in the CRC gut. We found that environmental gut factors regulated AB resistance gene expression in vitro of aerobic CRC microbiota, specifically acid, osmotic, and oxidative pressures in a predominantly health-dependent manner. This was consistent with metatranscriptome analysis of these cohorts, while osmotic and oxidative pressures induced differentially regulated responses. This work provides novel insights into the organization of active microbes in CRC, and reveals significant regulation of functionally related group activity, and unexpected microbiome-wide upregulation of AB resistance genes in response to environmental changes of the cancerous gut. IMPORTANCE The human gut microbiota in colorectal cancer patients have a distinct population compared to heathy counterparts. However, the activity (gene expression) of this community has not been investigated. Following quantification of both expressed genes and gene abundance, we established that a sub-population of microbes lies dormant in the cancerous gut, while other groups, namely, clinically relevant oral and multi-drug resistant pathogens, significantly increased in activity. Targeted analysis of community-wide antibiotic resistance determinants found that their expression occurs independently of antibiotic treatment, regardless of host health. However, its expression in aerobes, in vitro, can be regulated by specific environmental stresses of the gut, including organic and inorganic acid pressure in a health-dependent manner. This work advances the field of microbiology in the context of disease, showing, for the first time, that colorectal cancer regulates activity of gut microorganisms and that specific gut environmental pressures can modulate their antibiotic resistance determinants expression.

[1]  G. Weedall,et al.  The Colorectal Cancer Microbiota Alter Their Transcriptome To Adapt to the Acidity, Reactive Oxygen Species, and Metabolite Availability of Gut Microenvironments , 2023, mSphere.

[2]  D. Madden,et al.  Keeping up with the pathogens: Improved antimicrobial resistance detection and prediction in Pseudomonas aeruginosa , 2022, medRxiv.

[3]  M. Fan,et al.  Response mechanisms to acid stress of acid-resistant bacteria and biotechnological applications in the food industry , 2022, Critical reviews in biotechnology.

[4]  P. Karlovsky,et al.  ‘SRS’ R Package and ‘q2-srs’ QIIME 2 Plugin: Normalization of Microbiome Data Using Scaling with Ranked Subsampling (SRS) , 2021, Applied Sciences.

[5]  H. Drost,et al.  Sensitive protein alignments at tree-of-life scale using DIAMOND , 2021, Nature Methods.

[6]  Wei-Lin Jin,et al.  The updated landscape of tumor microenvironment and drug repurposing , 2020, Signal Transduction and Targeted Therapy.

[7]  S. Beatson,et al.  Antimicrobial Resistance in ESKAPE Pathogens , 2020, Clinical Microbiology Reviews.

[8]  Geoffrey L. Winsor,et al.  CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database , 2019, Nucleic Acids Res..

[9]  Suk-Hwan Lee,et al.  Patterns of antibiotics and pathogens for anastomotic leakage after colorectal cancer surgery , 2019, Korean Journal of Clinical Oncology.

[10]  S. Octavia,et al.  Klebsiella pneumoniae and Klebsiella quasipneumoniae define the population structure of blaKPC-2Klebsiella: a 5 year retrospective genomic study in Singapore. , 2019, The Journal of antimicrobial chemotherapy.

[11]  J. Simms,et al.  Preventive antibiotic treatment of calves: emergence of dysbiosis causing propagation of obese state‐associated and mobile multidrug resistance‐carrying bacteria , 2019, Microbial biotechnology.

[12]  Jun Yu,et al.  Gut microbiota in colorectal cancer: mechanisms of action and clinical applications , 2019, Nature Reviews Gastroenterology & Hepatology.

[13]  Shuangfei Li,et al.  Metabolic adaptability shifts of cell membrane fatty acids of Komagataeibacter hansenii HDM1-3 improve acid stress resistance and survival in acidic environments , 2019, Journal of Industrial Microbiology & Biotechnology.

[14]  J. Souglakos,et al.  Oral Bacteria and Intestinal Dysbiosis in Colorectal Cancer , 2019, International journal of molecular sciences.

[15]  William A. Walters,et al.  Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 , 2019, Nature Biotechnology.

[16]  E. Giovannucci,et al.  Global burden of colorectal cancer: emerging trends, risk factors and prevention strategies , 2019, Nature Reviews Gastroenterology & Hepatology.

[17]  P. Bork,et al.  Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation , 2019, Nature Medicine.

[18]  K. Pardesi,et al.  Emerging Strategies to Combat ESKAPE Pathogens in the Era of Antimicrobial Resistance: A Review , 2019, Front. Microbiol..

[19]  Paul Theodor Pyl,et al.  Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer , 2019, Nature Medicine.

[20]  Lu Wang,et al.  The role of microbiota in the development of colorectal cancer , 2019, International journal of cancer.

[21]  V. Sperandio,et al.  Redox, amino acid, and fatty acid metabolism intersect with bacterial virulence in the gut , 2018, Proceedings of the National Academy of Sciences.

[22]  Michael J. Sweredoski,et al.  The dormancy-specific regulator, SutA, is intrinsically disordered and modulates transcription initiation in Pseudomonas aeruginosa , 2018, bioRxiv.

[23]  D. Han,et al.  Intestinal microbiota, chronic inflammation, and colorectal cancer , 2018, Intestinal research.

[24]  Benjamin D. Kaehler,et al.  Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin , 2018, Microbiome.

[25]  K. Kristiansen,et al.  Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers , 2018, Microbiome.

[26]  Zhenwei Dai,et al.  Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers , 2018, Microbiome.

[27]  A. Kurilshikov,et al.  Environment dominates over host genetics in shaping human gut microbiota , 2018, Nature.

[28]  Benjamin D. Kaehler,et al.  Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin , 2018, Microbiome.

[29]  Ahmedin Jemal,et al.  Proportion and number of cancer cases and deaths attributable to potentially modifiable risk factors in the United States , 2018, CA: a cancer journal for clinicians.

[30]  E. Rimm,et al.  Metatranscriptome of human fecal microbial communities in a cohort of adult men , 2018, Nature Microbiology.

[31]  C. Huttenhower,et al.  Dynamics of metatranscription in the inflammatory bowel disease gut microbiome , 2018, Nature Microbiology.

[32]  F. Shanahan,et al.  The oral microbiota in colorectal cancer is distinctive and predictive , 2017, Gut.

[33]  Danielle G. Lemay,et al.  SAMSA2: a standalone metatranscriptome analysis pipeline , 2017, bioRxiv.

[34]  H. Andrews-Polymenis,et al.  An Oxidative Central Metabolism Enables Salmonella to Utilize Microbiota-Derived Succinate. , 2017, Cell host & microbe.

[35]  D. Raoult,et al.  Inediibacterium massiliense gen. nov., sp. nov., a new bacterial species isolated from the gut microbiota of a severely malnourished infant , 2017, Antonie van Leeuwenhoek.

[36]  M. Bassetti,et al.  The management of multidrug-resistant Enterobacteriaceae , 2016, Current opinion in infectious diseases.

[37]  H. Szajewska,et al.  Systematic review with meta‐analysis: Lactobacillus reuteri DSM 17938 for diarrhoeal diseases in children , 2016, Alimentary pharmacology & therapeutics.

[38]  Paul J. McMurdie,et al.  DADA2: High resolution sample inference from Illumina amplicon data , 2016, Nature Methods.

[39]  Rob Knight,et al.  Open-Source Sequence Clustering Methods Improve the State Of the Art , 2016, mSystems.

[40]  Wen J. Li,et al.  Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation , 2015, Nucleic Acids Res..

[41]  H. Lederman,et al.  Overview of Infections in the Immunocompromised Host , 2016, Microbiology spectrum.

[42]  Qiang Feng,et al.  Metagenomic analysis of faecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer , 2015, Gut.

[43]  D. Snydman,et al.  Risk and safety of probiotics. , 2015, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[44]  Qiang Feng,et al.  Gut microbiome development along the colorectal adenoma–carcinoma sequence , 2015, Nature Communications.

[45]  H. Qin,et al.  Microbiota disbiosis is associated with colorectal cancer , 2015, Front. Microbiol..

[46]  Chao Xie,et al.  Fast and sensitive protein alignment using DIAMOND , 2014, Nature Methods.

[47]  W. Huber,et al.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.

[48]  Björn Usadel,et al.  Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..

[49]  G. Fichant,et al.  Bacterial transformation: distribution, shared mechanisms and divergent control , 2014, Nature Reviews Microbiology.

[50]  C. O’Hern,et al.  The Bacterial Cytoplasm Has Glass-like Properties and Is Fluidized by Metabolic Activity , 2014, Cell.

[51]  B. Bourke,et al.  Interaction of microbes with mucus and mucins , 2014, Gut microbes.

[52]  Jiajie Zhang,et al.  PEAR: a fast and accurate Illumina Paired-End reAd mergeR , 2013, Bioinform..

[53]  Emmanuel Buc,et al.  Colonization of the Human Gut by E. coli and Colorectal Cancer Risk , 2013, Clinical Cancer Research.

[54]  M. Bibb Understanding and manipulating antibiotic production in actinomycetes. , 2013, Biochemical Society transactions.

[55]  F. Marincola,et al.  Commensal Bacteria Control Cancer Response to Therapy by Modulating the Tumor Microenvironment , 2013, Science.

[56]  Robert C. Edgar,et al.  UPARSE: highly accurate OTU sequences from microbial amplicon reads , 2013, Nature Methods.

[57]  L. Jarboe,et al.  The damaging effects of short chain fatty acids on Escherichia coli membranes , 2013, Applied Microbiology and Biotechnology.

[58]  C. Robert,et al.  Culturomics identified 11 new bacterial species from a single anorexia nervosa stool sample , 2013, European Journal of Clinical Microbiology & Infectious Diseases.

[59]  D. Pezet,et al.  High Prevalence of Mucosa-Associated E. coli Producing Cyclomodulin and Genotoxin in Colon Cancer , 2013, PloS one.

[60]  Pelin Yilmaz,et al.  The SILVA ribosomal RNA gene database project: improved data processing and web-based tools , 2012, Nucleic Acids Res..

[61]  T. Dinan,et al.  Communication between gastrointestinal bacteria and the nervous system. , 2012, Current opinion in pharmacology.

[62]  C. Huttenhower,et al.  Metagenomic microbial community profiling using unique clade-specific marker genes , 2012, Nature Methods.

[63]  Wolf-Dietrich Hardt,et al.  Gut inflammation can boost horizontal gene transfer between pathogenic and commensal Enterobacteriaceae , 2012, Proceedings of the National Academy of Sciences.

[64]  Steven Salzberg,et al.  BIOINFORMATICS ORIGINAL PAPER , 2004 .

[65]  B. Neville,et al.  Carbohydrate catabolic flexibility in the mammalian intestinal commensal Lactobacillus ruminis revealed by fermentation studies aligned to genome annotations , 2011, Microbial cell factories.

[66]  Rob Knight,et al.  UCHIME improves sensitivity and speed of chimera detection , 2011, Bioinform..

[67]  B. Haas,et al.  Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. , 2011, Genome research.

[68]  J. Tap,et al.  Microbial Dysbiosis in Colorectal Cancer (CRC) Patients , 2011, PloS one.

[69]  Cecilia Jernberg,et al.  Long-term impacts of antibiotic exposure on the human intestinal microbiota. , 2010, Microbiology.

[70]  William A. Walters,et al.  QIIME allows analysis of high-throughput community sequencing data , 2010, Nature Methods.

[71]  Thomas Bjarnsholt,et al.  Antibiotic resistance of bacterial biofilms. , 2010, International journal of antimicrobial agents.

[72]  G. Church,et al.  Functional Characterization of the Antibiotic Resistance Reservoir in the Human Microflora , 2009, Science.

[73]  Richard Durbin,et al.  Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .

[74]  Mihai Pop,et al.  Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples , 2009, PLoS Comput. Biol..

[75]  J. Martínez Antibiotics and Antibiotic Resistance Genes in Natural Environments , 2008, Science.

[76]  L. Rice Federal funding for the study of antimicrobial resistance in nosocomial pathogens: no ESKAPE. , 2008, The Journal of infectious diseases.

[77]  J. Tiedje,et al.  Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy , 2007, Applied and Environmental Microbiology.

[78]  R. Redfield,et al.  Non-canonical CRP sites control competence regulons in Escherichia coli and many other γ-proteobacteria , 2006, Nucleic acids research.

[79]  V. Lievin-Le Moal,et al.  The Front Line of Enteric Host Defense against Unwelcome Intrusion of Harmful Microorganisms: Mucins, Antimicrobial Peptides, and Microbiota , 2006, Clinical Microbiology Reviews.

[80]  John Turk,et al.  PhoP‐regulated Salmonella resistance to the antimicrobial peptides magainin 2 and polymyxin B , 2004, Molecular microbiology.

[81]  Young-In Kim Role of folate in colon cancer development and progression. , 2003, The Journal of nutrition.

[82]  Samuel I. Miller,et al.  Regulation of Salmonella typhimurium virulence gene expression by cationic antimicrobial peptides , 2003, Molecular microbiology.

[83]  L. Frost,et al.  F factor conjugation is a true type IV secretion system. , 2003, FEMS microbiology letters.

[84]  S. Miller,et al.  Salmonella typhimurium outer membrane remodeling: role in resistance to host innate immunity. , 2001, Microbes and infection.

[85]  E. Delong,et al.  Quantitative Analysis of Small-Subunit rRNA Genes in Mixed Microbial Populations via 5′-Nuclease Assays , 2000, Applied and Environmental Microbiology.

[86]  J. Galmiche,et al.  Butyrate inhibits inflammatory responses through NFkappaB inhibition: implications for Crohn's disease. , 2000, Gut.

[87]  L. Petit,et al.  Clostridium perfringens: toxinotype and genotype. , 1999, Trends in microbiology.

[88]  Samuel I. Miller,et al.  Lipid A Acylation and Bacterial Resistance against Vertebrate Antimicrobial Peptides , 1998, Cell.

[89]  M. Greene,et al.  The Concise Handbook of Family Cancer Syndromes , 1998 .

[90]  S. Miller,et al.  Regulation of lipid A modifications by Salmonella typhimurium virulence genes phoP-phoQ. , 1997, Science.

[91]  I. Casas,et al.  Safety and Tolerance of Lactobacillus reuteri in Healthy Adult Male Subjects , 1995 .

[92]  E. Groisman,et al.  Resistance to host antimicrobial peptides is necessary for Salmonella virulence. , 1992, Proceedings of the National Academy of Sciences of the United States of America.