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      Variations in microbiota composition of laboratory mice influence Citrobacter rodentium infection via variable short-chain fatty acid production

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          Abstract

          The composition of the intestinal microbiota influences the outcome of enteric infections in human and mice. However, the role of specific members and their metabolites contributing to disease severity is largely unknown. Using isogenic mouse lines harboring distinct microbiota communities, we observed highly variable disease kinetics of enteric Citrobacter rodentium colonization after infection. Transfer of communities from susceptible and resistant mice into germ-free mice verified that the varying susceptibilities are determined by microbiota composition. The strongest differences in colonization were observed in the cecum and could be maintained in vitro by coculturing cecal bacteria with C. rodentium. Cohousing of animals as well as the transfer of cultivable bacteria from resistant to susceptible mice led to variable outcomes in the recipient mice. Microbiome analysis revealed that a higher abundance of butyrate-producing bacteria was associated with the resistant phenotype. Quantification of short-chain fatty acid (SCFA) levels before and after infection revealed increased concentrations of acetate, butyrate and propionate in mice with delayed colonization. Addition of physiological concentrations of butyrate, but not of acetate and/or propionate strongly impaired growth of C. rodentium in vitro. In vivo supplementation of susceptible, antibiotic-treated and germ-free mice with butyrate led to the same level of protection, notably only when cecal butyrate concentration reached a concentration higher than 50 nmol/mg indicating a critical threshold for protection. In the recent years, commensal-derived primary and secondary bacterial metabolites emerged as potent modulators of hosts susceptibility to infection. Our results provide evidence that variations in SCFA production in mice fed fibre-rich chow-based diets modulate susceptibility to colonization with Enterobacteriaceae not only in antibiotic-disturbed ecosystems but even in undisturbed microbial communities. These findings emphasise the need for microbiota normalization across laboratory mouse lines for infection experiments with the model-pathogen C. rodentium independent of investigations of diet and antibiotic usage.

          Author summary

          The distinct composition of the gut microbiota in each individual results in variable metabolic activity and output of these communities, which influences the host, including resistance to enteric pathogens. Lack of reproducibility in biomedical research is nowadays frequently attributed to the microbiota, but little is known about which specific members and metabolites contribute to disease severity. Here, we use genetically identical mouse lines with variable microbiota compositions on a standardized diet and observed highly variable colonization with the enteric pathogen Citrobacter rodentium without antibiotics intervention. We found the same differences in formerly germ-free animals harbouring the respective donors microbiota and also in vitro by coculturing cecal bacteria from resistant and susceptible animals with C. rodentium showing that the phenotype is fully dependent on differences in the microbiota. We analysed the microbiome composition and found a higher abundance of butyrate-producing bacteria as well as increased levels of butyrate in resistant mice. By supplementation of susceptible and germ-free animals with butyrate, we could significantly lower the levels of colonization highlighting that commensal-derived primary and secondary bacterial metabolites are highly variable between laboratory animals from different vendors and are potent modulators of hosts susceptibility to infection with C. rodentium.

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          Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

          The ongoing revolution in high-throughput sequencing continues to democratize the ability of small groups of investigators to map the microbial component of the biosphere. In particular, the coevolution of new sequencing platforms and new software tools allows data acquisition and analysis on an unprecedented scale. Here we report the next stage in this coevolutionary arms race, using the Illumina GAIIx platform to sequence a diverse array of 25 environmental samples and three known "mock communities" at a depth averaging 3.1 million reads per sample. We demonstrate excellent consistency in taxonomic recovery and recapture diversity patterns that were previously reported on the basis of metaanalysis of many studies from the literature (notably, the saline/nonsaline split in environmental samples and the split between host-associated and free-living communities). We also demonstrate that 2,000 Illumina single-end reads are sufficient to recapture the same relationships among samples that we observe with the full dataset. The results thus open up the possibility of conducting large-scale studies analyzing thousands of samples simultaneously to survey microbial communities at an unprecedented spatial and temporal resolution.
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            Microbiota-mediated colonization resistance against intestinal pathogens.

            Commensal bacteria inhabit mucosal and epidermal surfaces in mice and humans, and have effects on metabolic and immune pathways in their hosts. Recent studies indicate that the commensal microbiota can be manipulated to prevent and even to cure infections that are caused by pathogenic bacteria, particularly pathogens that are broadly resistant to antibiotics, such as vancomycin-resistant Enterococcus faecium, Gram-negative Enterobacteriaceae and Clostridium difficile. In this Review, we discuss how immune- mediated colonization resistance against antibiotic-resistant intestinal pathogens is influenced by the composition of the commensal microbiota. We also review recent advances characterizing the ability of different commensal bacterial families, genera and species to restore colonization resistance to intestinal pathogens in antibiotic-treated hosts.
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              Diarrheagenic Escherichia coli.

              Escherichia coli is the predominant nonpathogenic facultative flora of the human intestine. Some E. coli strains, however, have developed the ability to cause disease of the gastrointestinal, urinary, or central nervous system in even the most robust human hosts. Diarrheagenic strains of E. coli can be divided into at least six different categories with corresponding distinct pathogenic schemes. Taken together, these organisms probably represent the most common cause of pediatric diarrhea worldwide. Several distinct clinical syndromes accompany infection with diarrheagenic E. coli categories, including traveler's diarrhea (enterotoxigenic E. coli), hemorrhagic colitis and hemolytic-uremic syndrome (enterohemorrhagic E. coli), persistent diarrhea (enteroaggregative E. coli), and watery diarrhea of infants (entero-pathogenic E. coli). This review discusses the current level of understanding of the pathogenesis of the diarrheagenic E. coli strains and describes how their pathogenic schemes underlie the clinical manifestations, diagnostic approach, and epidemiologic investigation of these important pathogens.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draft
                Role: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Formal analysisRole: Methodology
                Role: Investigation
                Role: Data curationRole: Methodology
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Methodology
                Role: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: MethodologyRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: Supervision
                Role: Editor
                Journal
                PLoS Pathog
                PLoS Pathog
                plos
                plospath
                PLoS Pathogens
                Public Library of Science (San Francisco, CA USA )
                1553-7366
                1553-7374
                24 March 2020
                March 2020
                : 16
                : 3
                : e1008448
                Affiliations
                [1 ] Department of Microbial Immune Regulation, Helmholtz Centre for Infection Research, Braunschweig, Germany
                [2 ] ESF International Graduate School on Analysis, Imaging and Modelling of Neuronal and Inflammatory Processes, Otto-von-Guericke University, Magdeburg, Germany
                [3 ] Hannover Medical School, Hannover, Germany
                [4 ] Department of Bioinformatics & Biochemistry, Technische Universität Braunschweig, Germany
                [5 ] Mouse Pathology, Helmholtz Centre for Infection Research, Braunschweig, Germany
                [6 ] Department of Molecular Infection Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
                [7 ] Institute for Infectiology, University of Münster, Münster, Germany
                [8 ] Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
                [9 ] Department of Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany
                [10 ] Bacterial Metabolomics, Leibniz Institute DSMZ—German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
                [11 ] Centre for Individualized Infection Medicine, Hannover, Germany
                University of California Davis School of Medicine, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-3085-6438
                http://orcid.org/0000-0003-0533-6964
                http://orcid.org/0000-0001-8177-3280
                http://orcid.org/0000-0003-1478-3328
                http://orcid.org/0000-0002-1641-019X
                http://orcid.org/0000-0003-0185-1459
                Article
                PPATHOGENS-D-19-01806
                10.1371/journal.ppat.1008448
                7141690
                32208465
                6cd91b0f-04a4-46b6-8906-f849787f0524
                © 2020 Osbelt et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 6 October 2019
                : 1 March 2020
                Page count
                Figures: 7, Tables: 0, Pages: 27
                Funding
                LO was funded by a stipend of the Europäischen Strukturfonds Sachsen Anhalt (ESF) and the international graduate school ABINEP (project number 44 100 32 030 ZS/2016/08/80645). The study is partly funded by the Helmholtz Centre for Infection Research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbiome
                Biology and Life Sciences
                Genetics
                Genomics
                Microbial Genomics
                Microbiome
                Biology and Life Sciences
                Microbiology
                Microbial Genomics
                Microbiome
                Biology and Life Sciences
                Organisms
                Bacteria
                Anaerobic Bacteria
                Biology and Life Sciences
                Anatomy
                Digestive System
                Gastrointestinal Tract
                Cecum
                Medicine and Health Sciences
                Anatomy
                Digestive System
                Gastrointestinal Tract
                Cecum
                Biology and Life Sciences
                Anatomy
                Digestive System
                Gastrointestinal Tract
                Medicine and Health Sciences
                Anatomy
                Digestive System
                Gastrointestinal Tract
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Metabolites
                Physical Sciences
                Chemistry
                Chemical Compounds
                Propionates
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Non-coding RNA
                Ribosomal RNA
                Biology and life sciences
                Biochemistry
                Ribosomes
                Ribosomal RNA
                Biology and life sciences
                Cell biology
                Cellular structures and organelles
                Ribosomes
                Ribosomal RNA
                Medicine and Health Sciences
                Pharmacology
                Drugs
                Antimicrobials
                Antibiotics
                Biology and Life Sciences
                Microbiology
                Microbial Control
                Antimicrobials
                Antibiotics
                Custom metadata
                vor-update-to-uncorrected-proof
                2020-04-08
                16S rRNA gene sequencing data have been deposited in the NCBI (Bioproject Database) under the accession number: PRJNA572605.

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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