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Spindler MP, Siu S, Mogno I, Li Z, Yang C, Mehandru S, Britton GJ, Faith JJ. Human gut microbiota stimulate defined innate immune responses that vary from phylum to strain. Cell Host Microbe 2022; 30:1481-1498.e5. [PMID: 36099923 PMCID: PMC9588646 DOI: 10.1016/j.chom.2022.08.009] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 06/10/2022] [Accepted: 08/15/2022] [Indexed: 11/03/2022]
Abstract
The potential of commensal bacteria to modulate host immunity remains largely uncharacterized, largely due to the vast number of strains that comprise the human gut microbiota. We have developed a screening platform to measure the innate immune responses of myeloid cells to 277 bacterial strains isolated from the gut microbiota of healthy individuals and those with inflammatory bowel diseases. The innate immune responses to gut-derived bacteria are as strong as those toward pathogenic bacteria, and they vary from phylum to strain. Myeloid cells differentially rely upon innate receptors TLR2 or TLR4 to sense taxa, with differential sensing of Bacteroidetes and Proteobacteria that predict in vivo functions. These innate immune responses can be modeled using combinations of up to 8 Toll-like receptor (TLR) agonists. Furthermore, the immunogenicity of strains is stable over time and following fecal microbiota transplantation into new human recipients. Collectively, this high-throughput approach provides an insight into how commensal microorganisms shape innate immune phenotypes.
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Affiliation(s)
- Matthew P Spindler
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sophia Siu
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ilaria Mogno
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Zhihua Li
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chao Yang
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Saurabh Mehandru
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Dr. Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Graham J Britton
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Jeremiah J Faith
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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Bautista DE, Carr JF, Mitchell AM. Suppressor Mutants: History and Today's Applications. EcoSal Plus 2021; 9:eESP00372020. [PMID: 34910591 PMCID: PMC9008745 DOI: 10.1128/ecosalplus.esp-0037-2020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 11/16/2021] [Indexed: 11/20/2022]
Abstract
For decades, biologist have exploited the near boundless advantages that molecular and genetic tools and analysis provide for our ability to understand biological systems. One of these genetic tools, suppressor analysis, has proven invaluable in furthering our understanding of biological processes and pathways and in discovering unknown interactions between genes and gene products. The power of suppressor analysis lies in its ability to discover genetic interactions in an unbiased manner, often leading to surprising discoveries. With advancements in technology, high-throughput approaches have aided in large-scale identification of suppressors and have helped provide insight into the core functional mechanisms through which suppressors act. In this review, we examine some of the fundamental discoveries that have been made possible through analysis of suppressor mutations. In addition, we cover the different types of suppressor mutants that can be isolated and the biological insights afforded by each type. Moreover, we provide considerations for the design of experiments to isolate suppressor mutants and for strategies to identify intergenic suppressor mutations. Finally, we provide guidance and example protocols for the isolation and mapping of suppressor mutants.
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Affiliation(s)
- David E. Bautista
- Department of Biology, Texas A&M University, College Station, Texas, USA
| | - Joseph F. Carr
- Department of Biology, Texas A&M University, College Station, Texas, USA
| | - Angela M. Mitchell
- Department of Biology, Texas A&M University, College Station, Texas, USA
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Ye L, Rawls JF. Microbial influences on gut development and gut-brain communication. Development 2021; 148:dev194936. [PMID: 34758081 PMCID: PMC8627602 DOI: 10.1242/dev.194936] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 10/07/2021] [Indexed: 12/15/2022]
Abstract
The developmental programs that build and sustain animal forms also encode the capacity to sense and adapt to the microbial world within which they evolved. This is abundantly apparent in the development of the digestive tract, which typically harbors the densest microbial communities of the body. Here, we review studies in human, mouse, zebrafish and Drosophila that are revealing how the microbiota impacts the development of the gut and its communication with the nervous system, highlighting important implications for human and animal health.
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Stagaman K, Sharpton TJ, Guillemin K. Zebrafish microbiome studies make waves. Lab Anim (NY) 2020; 49:201-207. [PMID: 32541907 DOI: 10.1038/s41684-020-0573-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 05/18/2020] [Indexed: 12/16/2022]
Abstract
Zebrafish have a 50-year history as a model organism for studying vertebrate developmental biology and more recently have emerged as a powerful model system for studying vertebrate microbiome assembly, dynamics and function. In this Review, we discuss the strengths of the zebrafish model for both observational and manipulative microbiome studies, and we highlight some of the important insights gleaned from zebrafish gut microbiome research.
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Affiliation(s)
- Keaton Stagaman
- Department of Microbiology, Oregon State University, Corvallis, OR, USA
| | - Thomas J Sharpton
- Department of Microbiology, Oregon State University, Corvallis, OR, USA.,Department of Statistics, Oregon State University, Corvallis, OR, USA
| | - Karen Guillemin
- Institute of Molecular Biology, University of Oregon, Eugene, OR, USA. .,Humans and the Microbiome Program, CIFAR, Toronto, Ontario, Canada.
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Davey L, Valdivia RH. Bacterial genetics and molecular pathogenesis in the age of high throughput DNA sequencing. Curr Opin Microbiol 2020; 54:59-66. [PMID: 32044689 PMCID: PMC8765803 DOI: 10.1016/j.mib.2020.01.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 01/12/2020] [Indexed: 12/17/2022]
Abstract
When Stanley Falkow introduced Molecular Koch's Postulates (Falkow, 1988) as a conceptual framework to identify microbial factors that contributed to disease, he reaffirmed the prominent role that the basic principles of genetic analysis should play in defining genotype-phenotype associations in microbial pathogens. In classical bacterial genetics the nature of mutations is inferred through cis-trans complementation and by indirectly mapping their relative position and physical distance through recombination frequencies - all of which were made possible by the genetic tools of the day: natural transformations, conjugation and transduction. Unfortunately, many of these genetic tools are not always available to study pathogenic bacteria. The recombinant DNA revolution in the 1980s launched the field of molecular pathogenesis as genes could be treated as physical units that could be cut, spliced and transplanted from one microbe to another and thus not only 'prove' that an individual gene complemented a virulence defect in a mutant strain but also could impart pathogenic properties to otherwise benign microbes. The recombinant DNA revolution also enabled the generation of newer versions of genetic tools to generate mutations and engineer microbial genomes. The last decade has ushered in next generation sequencing technologies as a new powerful tool for bacterial genetics. The routine and inexpensive sequencing of microbial genomes has increased the number and phylogenetic scope of microbes that are amenable to functional characterization and experimentation. In this review, we highlight some salient advances in this rapidly evolving area.
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Affiliation(s)
- Lauren Davey
- Duke University School of Medicine, Molecular Genetics and Microbiology, 272 Jones Bldg DUMC 3580, Durham, NC 27710, United States
| | - Raphael H Valdivia
- Duke University School of Medicine, Molecular Genetics and Microbiology, 272 Jones Bldg DUMC 3580, Durham, NC 27710, United States.
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Construction of a multicopy genomic DNA library and its application for suppression analysis. J Microbiol 2019; 57:1041-1047. [PMID: 31758393 DOI: 10.1007/s12275-019-9417-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 09/24/2019] [Accepted: 10/10/2019] [Indexed: 10/25/2022]
Abstract
Suppression analysis is used for the identification of new genes and genetic interactions when there is a notable phenotype available for genetic selection or screening. A random genomic DNA library constructed on a multi-copy plasmid is a useful tool for suppression analysis when one expects that an overdose of a few genes will suppress the phenotype. These libraries have been successfully used to determine the function of a gene by revealing genes whose functions are related to the gene of interest. They have also been used to identify the targets of chemical or biological agents by increasing the number of unaffected target gene products in a cell. In this article, I will discuss important considerations for constructing multicopy genomic DNA libraries. The protocol provided in this paper should be a useful guide for constructing genomic DNA libraries in many bacterial species for which multi-copy plasmids are available.
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2017 NIH-wide workshop report on "The Human Microbiome: Emerging Themes at the Horizon of the 21st Century". MICROBIOME 2019; 7:32. [PMID: 30808401 PMCID: PMC6391828 DOI: 10.1186/s40168-019-0627-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 01/16/2019] [Indexed: 05/31/2023]
Abstract
The National Institutes of Health (NIH) organized a three-day human microbiome research workshop, August 16-18, 2017, to highlight the accomplishments of the 10-year Human Microbiome Project program, the outcomes of the investments made by the 21 NIH Institutes and Centers which now fund this area, and the technical challenges and knowledge gaps which will need to be addressed in order for this field to advance over the next 10 years. This report summarizes the key points in the talks, round table discussions, and Joint Agency Panel from this workshop.
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Williamson IA, Arnold JW, Samsa LA, Gaynor L, DiSalvo M, Cocchiaro JL, Carroll I, Azcarate-Peril MA, Rawls JF, Allbritton NL, Magness ST. A High-Throughput Organoid Microinjection Platform to Study Gastrointestinal Microbiota and Luminal Physiology. Cell Mol Gastroenterol Hepatol 2018; 6:301-319. [PMID: 30123820 PMCID: PMC6092482 DOI: 10.1016/j.jcmgh.2018.05.004] [Citation(s) in RCA: 147] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 05/14/2018] [Indexed: 12/16/2022]
Abstract
Background & Aims The human gut microbiota is becoming increasingly recognized as a key factor in homeostasis and disease. The lack of physiologically relevant in vitro models to investigate host-microbe interactions is considered a substantial bottleneck for microbiota research. Organoids represent an attractive model system because they are derived from primary tissues and embody key properties of the native gut lumen; however, access to the organoid lumen for experimental perturbation is challenging. Here, we report the development and validation of a high-throughput organoid microinjection system for cargo delivery to the organoid lumen and high-content sampling. Methods A microinjection platform was engineered using off-the-shelf and 3-dimensional printed components. Microinjection needles were modified for vertical trajectories and reproducible injection volumes. Computer vision (CVis) and microfabricated CellRaft Arrays (Cell Microsystems, Research Triangle Park, NC) were used to increase throughput and enable high-content sampling of mock bacterial communities. Modeling preformed using the COMSOL Multiphysics platform predicted a hypoxic luminal environment that was functionally validated by transplantation of fecal-derived microbial communities and monocultures of a nonsporulating anaerobe. Results CVis identified and logged locations of organoids suitable for injection. Reproducible loads of 0.2 nL could be microinjected into the organoid lumen at approximately 90 organoids/h. CVis analyzed and confirmed retention of injected cargos in approximately 500 organoids over 18 hours and showed the requirement to normalize for organoid growth for accurate assessment of barrier function. CVis analyzed growth dynamics of a mock community of green fluorescent protein- or Discosoma sp. red fluorescent protein-expressing bacteria, which grew within the organoid lumen even in the presence of antibiotics to control media contamination. Complex microbiota communities from fecal samples survived and grew in the colonoid lumen without appreciable changes in complexity. Conclusions High-throughput microinjection into organoids represents a next-generation in vitro approach to investigate gastrointestinal luminal physiology and the gastrointestinal microbiota.
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Key Words
- 2D, 2-dimensional
- 3D, 3-dimensional
- Anaerobic
- Barrier Function
- CAG, chicken beta-actin promoter with CMV enhancer
- CFU, colony-forming unit
- CRA, CellRaft Array
- CVis, computer vision
- EGFP, enhanced green fluorescent protein
- FITC, fluorescein isothiocyanate
- Fecal Microbiota
- GFP, green fluorescent protein
- GI, gastrointestinal
- HF, hydrogen fluoride
- High-Content Sampling
- High-Throughput
- Microinjection
- OUT, operational taxonomic unit
- Organoid
- PBS, phosphate-buffered saline
- PCR, polymerase chain reaction
- QIIME, Quantitative Insights Into Microbial Ecology
- WT, wild-type
- hiPS, Human Induced Pluripotent Stem Cell
- rRNA, ribosomal RNA
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Affiliation(s)
- Ian A. Williamson
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill/North Carolina State University, Chapel Hill, North Carolina
| | - Jason W. Arnold
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Leigh Ann Samsa
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill/North Carolina State University, Chapel Hill, North Carolina
| | - Liam Gaynor
- Graduate Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, Massachusetts
| | - Matthew DiSalvo
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill/North Carolina State University, Chapel Hill, North Carolina
| | - Jordan L. Cocchiaro
- Department of Molecular Genetics and Microbiology Medicine, Duke University, Durham, North Carolina
| | - Ian Carroll
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - M. Andrea Azcarate-Peril
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - John F. Rawls
- Department of Molecular Genetics and Microbiology Medicine, Duke University, Durham, North Carolina
| | - Nancy L. Allbritton
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill/North Carolina State University, Chapel Hill, North Carolina
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Scott T. Magness
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill/North Carolina State University, Chapel Hill, North Carolina
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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Rosen CE, Palm NW. Functional Classification of the Gut Microbiota: The Key to Cracking the Microbiota Composition Code: Functional classifications of the gut microbiota reveal previously hidden contributions of indigenous gut bacteria to human health and disease. Bioessays 2017; 39. [PMID: 28976007 DOI: 10.1002/bies.201700032] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Revised: 09/03/2017] [Indexed: 12/21/2022]
Abstract
The last decade has seen an explosion of research on the gut microbiota-the trillions of microorganisms that colonize the human gut. It is now clear that interindividual diversity in microbiota composition plays an important role in determining susceptibility to a wide variety of diseases. However, identifying the precise changes in microbiota composition that play causal roles has remained a largely unrealized goal. Here, we propose that functional classifications of microbes based on their interactions with and effects on the host-particularly the host immune system-will illuminate the role of the microbiota in shaping human physiology. We outline the benefits of "functional" classification compared to phylogenetic classifications, and review current efforts at functional classification of the microbiota. Finally, we outline a theoretical framework for classifying host-microbiota interactions. Future advances enabling broader functional classifications of the microbiota promise to revolutionize our understanding of the role of gut microbes in health and disease.
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Affiliation(s)
- Connor E Rosen
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Noah W Palm
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
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Leulier F, MacNeil LT, Lee WJ, Rawls JF, Cani PD, Schwarzer M, Zhao L, Simpson SJ. Integrative Physiology: At the Crossroads of Nutrition, Microbiota, Animal Physiology, and Human Health. Cell Metab 2017; 25:522-534. [PMID: 28273475 PMCID: PMC6200423 DOI: 10.1016/j.cmet.2017.02.001] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Revised: 01/30/2017] [Accepted: 01/31/2017] [Indexed: 02/07/2023]
Abstract
Nutrition is paramount in shaping all aspects of animal biology. In addition, the influence of the intestinal microbiota on physiology is now widely recognized. Given that diet also shapes the intestinal microbiota, this raises the question of how the nutritional environment and microbial assemblages together influence animal physiology. This research field constitutes a new frontier in the field of organismal biology that needs to be addressed. Here we review recent studies using animal models and humans and propose an integrative framework within which to define the study of the diet-physiology-microbiota systems and ultimately link it to human health. Nutritional Geometry sits centrally in the proposed framework and offers means to define diet compositions that are optimal for individuals and populations.
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Affiliation(s)
- François Leulier
- Institut de Génomique Fonctionnelle de Lyon (IGFL), Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS UMR 5242, Université Claude Bernard Lyon 1, F-69364 Lyon Cedex 07, France.
| | - Lesley T MacNeil
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S4K1, Canada; Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, ON L8S4K1, Canada; Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S4K1, Canada
| | - Won-Jae Lee
- School of Biological Science, Institute of Molecular Biology and Genetics, National Creative Research Initiative Center for Hologenomics, Seoul National University, Seoul 151-742, South Korea
| | - John F Rawls
- Department of Molecular Genetics and Microbiology, Center for the Genomics of Microbial Systems, Duke University School of Medicine, Durham, NC 27710, USA
| | - Patrice D Cani
- Université Catholique de Louvain, Louvain Drug Research Institute, WELBIO (Walloon Excellence in Life Sciences and Biotechnology), Metabolism and Nutrition Research Group, B-1200 Brussels, Belgium
| | - Martin Schwarzer
- Institut de Génomique Fonctionnelle de Lyon (IGFL), Université de Lyon, Ecole Normale Supérieure de Lyon, CNRS UMR 5242, Université Claude Bernard Lyon 1, F-69364 Lyon Cedex 07, France
| | - Liping Zhao
- State Key Laboratory of Microbial Metabolism and Ministry of Education Key Laboratory of Systems Biomedicine, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Stephen J Simpson
- Charles Perkins Centre, University of Sydney, Sydney 2006, Australia; School of Life and Environmental Sciences, University of Sydney, Sydney 2006, Australia
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