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Winter SE, Bäumler AJ. Gut dysbiosis: Ecological causes and causative effects on human disease. Proc Natl Acad Sci U S A 2023; 120:e2316579120. [PMID: 38048456 PMCID: PMC10722970 DOI: 10.1073/pnas.2316579120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 11/02/2023] [Indexed: 12/06/2023] Open
Abstract
The gut microbiota plays a role in many human diseases, but high-throughput sequence analysis does not provide a straightforward path for defining healthy microbial communities. Therefore, understanding mechanisms that drive compositional changes during disease (gut dysbiosis) continues to be a central goal in microbiome research. Insights from the microbial pathogenesis field show that an ecological cause for gut dysbiosis is an increased availability of host-derived respiratory electron acceptors, which are dominant drivers of microbial community composition. Similar changes in the host environment also drive gut dysbiosis in several chronic human illnesses, and a better understanding of the underlying mechanisms informs approaches to causatively link compositional changes in the gut microbiota to an exacerbation of symptoms. The emerging picture suggests that homeostasis is maintained by host functions that control the availability of resources governing microbial growth. Defining dysbiosis as a weakening of these host functions directs attention to the underlying cause and identifies potential targets for therapeutic intervention.
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Affiliation(s)
- Sebastian E. Winter
- Department of Medicine, Division of Infectious Diseases, University of California, Davis, CA95616
- Department of Medical Microbiology and Immunology, University of California, Davis, CA95616
| | - Andreas J. Bäumler
- Department of Medical Microbiology and Immunology, University of California, Davis, CA95616
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2
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Golob JL. Human Microbiomes and Disease for the Biomedical Data Scientist. Annu Rev Biomed Data Sci 2023; 6:259-273. [PMID: 37159872 DOI: 10.1146/annurev-biodatasci-020722-043017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
The human microbiome is complex, variable from person to person, essential for health, and related to both the risk for disease and the efficacy of our treatments. There are robust techniques to describe microbiota with high-throughput sequencing, and there are hundreds of thousands of already-sequenced specimens in public archives. The promise remains to use the microbiome both as a prognostic factor and as a target for precision medicine. However, when used as an input in biomedical data science modeling, the microbiome presents unique challenges. Here, we review the most common techniques used to describe microbial communities, explore these unique challenges, and discuss the more successful approaches for biomedical data scientists seeking to use the microbiome as an input in their studies.
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Affiliation(s)
- Jonathan L Golob
- Division of Infectious Diseases, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA; ,
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3
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Seyedsayamdost MR, Clardy J. Discovering functional small molecules in the gut microbiome. Curr Opin Chem Biol 2023; 75:102309. [PMID: 37163788 PMCID: PMC10524162 DOI: 10.1016/j.cbpa.2023.102309] [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: 01/24/2023] [Accepted: 03/25/2023] [Indexed: 05/12/2023]
Abstract
The human microbiome has emerged as a source of bacterially produced, functional small molecules that help regulate health and disease, and their discovery and annotation has become a popular research topic. Identifying these molecules provides an essential step in unraveling the molecular mechanisms underlying biological outcomes. The relevance of specific bacterial members of the microbiome has been demonstrated in a variety of correlative studies, and there are many possible paths from these correlations to the responsible metabolites. Herein, we summarize two studies that have recently identified gut microbiome metabolites that modulate immune responses or promote physical activity. Aside from the deep insights gained, these studies provide blueprints for successfully uncovering the molecules and mechanisms that control important physiological pathways.
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Affiliation(s)
| | - Jon Clardy
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Blavatnik Institute, Boston, MA 02115, USA.
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4
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Dreisbach C, Maki K. A Comparison of Hypothesis-Driven and Data-Driven Research: A Case Study in Multimodal Data Science in Gut-Brain Axis Research. Comput Inform Nurs 2023; 41:497-506. [PMID: 36730994 PMCID: PMC10102251 DOI: 10.1097/cin.0000000000000954] [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] [Indexed: 02/04/2023]
Abstract
Data science, bioinformatics, and machine learning are the advent and progression of the fourth paradigm of exploratory science. The need for human-supported algorithms to capture patterns in big data is at the center of personalized healthcare and directly related to translational research. This paper argues that hypothesis-driven and data-driven research work together to inform the research process. At the core of these approaches are theoretical underpinnings that drive progress in the field. Here, we present several exemplars of research on the gut-brain axis that outline the innate values and challenges of these approaches. As nurses are trained to integrate multiple body systems to inform holistic human health promotion and disease prevention, nurses and nurse scientists serve an important role as mediators between this advancing technology and the patients. At the center of person-knowing, nurses need to be aware of the data revolution and use their unique skills to supplement the data science cycle from data to knowledge to insight.
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Affiliation(s)
| | - Katherine Maki
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health, Clinical Center, Bethesda, MD, USA
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5
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Ferrocino I, Rantsiou K, McClure R, Kostic T, de Souza RSC, Lange L, FitzGerald J, Kriaa A, Cotter P, Maguin E, Schelkle B, Schloter M, Berg G, Sessitsch A, Cocolin L. The need for an integrated multi-OMICs approach in microbiome science in the food system. Compr Rev Food Sci Food Saf 2023; 22:1082-1103. [PMID: 36636774 DOI: 10.1111/1541-4337.13103] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 12/05/2022] [Accepted: 12/19/2022] [Indexed: 01/14/2023]
Abstract
Microbiome science as an interdisciplinary research field has evolved rapidly over the past two decades, becoming a popular topic not only in the scientific community and among the general public, but also in the food industry due to the growing demand for microbiome-based technologies that provide added-value solutions. Microbiome research has expanded in the context of food systems, strongly driven by methodological advances in different -omics fields that leverage our understanding of microbial diversity and function. However, managing and integrating different complex -omics layers are still challenging. Within the Coordinated Support Action MicrobiomeSupport (https://www.microbiomesupport.eu/), a project supported by the European Commission, the workshop "Metagenomics, Metaproteomics and Metabolomics: the need for data integration in microbiome research" gathered 70 participants from different microbiome research fields relevant to food systems, to discuss challenges in microbiome research and to promote a switch from microbiome-based descriptive studies to functional studies, elucidating the biology and interactive roles of microbiomes in food systems. A combination of technologies is proposed. This will reduce the biases resulting from each individual technology and result in a more comprehensive view of the biological system as a whole. Although combinations of different datasets are still rare, advanced bioinformatics tools and artificial intelligence approaches can contribute to understanding, prediction, and management of the microbiome, thereby providing the basis for the improvement of food quality and safety.
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Affiliation(s)
- Ilario Ferrocino
- Department of Agriculture, Forest and Food Science, University of Turin, Grugliasco, Italy
| | - Kalliopi Rantsiou
- Department of Agriculture, Forest and Food Science, University of Turin, Grugliasco, Italy
| | - Ryan McClure
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Tanja Kostic
- AIT Austrian Institute of Technology GmbH, Bioresources Unit, Tulln, Austria
| | - Rafael Soares Correa de Souza
- Genomics for Climate Change Research Center (GCCRC), Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Lene Lange
- BioEconomy, Research & Advisory, Valby, Denmark
| | - Jamie FitzGerald
- Teagasc Food Research Centre, Moorepark, Fermoy, County Cork, Ireland
| | - Aicha Kriaa
- MICALIS, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Paul Cotter
- Teagasc Food Research Centre, Moorepark, Fermoy, County Cork, Ireland
| | - Emmanuelle Maguin
- MICALIS, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | | | | | - Gabriele Berg
- Institute of Environmental Biotechnology, Graz University of Technology, Graz, Austria
| | - Angela Sessitsch
- AIT Austrian Institute of Technology GmbH, Bioresources Unit, Tulln, Austria
| | - Luca Cocolin
- Department of Agriculture, Forest and Food Science, University of Turin, Grugliasco, Italy
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6
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Gomez DE, Wong D, MacNicol J, Dembek K. The fecal bacterial microbiota of healthy and sick newborn foals. Vet Med (Auckl) 2022; 37:315-322. [PMID: 36519210 PMCID: PMC9889700 DOI: 10.1111/jvim.16596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 11/17/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND The fecal bacterial microbiota of normal foals and foals with enterocolitis has been characterized using next-generation sequencing technology; however, there are no reports investigating the gut microbiota in foals hospitalized for other perinatal diseases. OBJECTIVE To describe and compare the fecal bacterial microbiota in healthy and sick foals using next-generation sequencing techniques. ANIMALS Hospitalized (17) and healthy foals (21). METHODS Case-control study. Fecal samples were collected from healthy and sick foals on admission. Sick foals were further divided into sick nonseptic (SNS, n = 9) and septic (n = 8) foals. After extraction of DNA, the V4 region of the 16 S rRNA gene was amplified using a PCR assay, and the final product was sequenced with an Illumina MiSeq. RESULTS Diversity was significantly lower in healthy than sick foals (P < .05). The bacterial membership (Jaccard index) and structure (Yue & Clayton index) of the fecal microbiota of healthy, septic, and SNS foals were similar (AMOVA, P > .05). Bacterial membership (AMOVA, P = .06) and structure (AMOVA, P = .33) were not different between healthy and sick foals. Enterobacteriaceae, Enterococcus, and Streptococcus were among the 5 more abundant taxa identified in both groups. CONCLUSION AND CLINICAL IMPORTANCE Higher fecal microbiota diversity in sick than healthy foals might suggest a high exposure to environmental microorganisms or an unstable colonic microbiota. The presence of microorganisms causing bacteremia in foals in a high relative abundance in the feces of foals suggests the intestine might play an essential role in the causation of bacteremia in foals.
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Affiliation(s)
- Diego E. Gomez
- Department of Clinical Studies, Ontario Veterinary CollegeUniversity of GuelphGuelphOntarioCanada
| | - David Wong
- Department of Veterinary Clinical Sciences, College of Veterinary MedicineIowa State UniversityAmesIowaUSA
| | - Jennifer MacNicol
- Department of Animal Biosciences, Ontario Agriculture CollegeUniversity of GuelphGuelphOntarioCanada
| | - Katarzyna Dembek
- Department of Clinical Sciences, College of Veterinary MedicineNorth Carolina State UniversityRaleighNorth CarolinaUSA
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7
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Ferrocino I, Rantsiou K, Cocolin L. Microbiome and -omics application in food industry. Int J Food Microbiol 2022; 377:109781. [DOI: 10.1016/j.ijfoodmicro.2022.109781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 05/31/2022] [Accepted: 06/03/2022] [Indexed: 11/30/2022]
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8
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Peeters J, Thas O, Shkedy Z, Kodalci L, Musisi C, Owokotomo OE, Dyczko A, Hamad I, Vangronsveld J, Kleinewietfeld M, Thijs S, Aerts J. Exploring the Microbiome Analysis and Visualization Landscape. FRONTIERS IN BIOINFORMATICS 2021; 1:774631. [PMID: 36303773 PMCID: PMC9580862 DOI: 10.3389/fbinf.2021.774631] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 10/29/2021] [Indexed: 02/02/2023] Open
Abstract
Research on the microbiome has boomed recently, which resulted in a wide range of tools, packages, and algorithms to analyze microbiome data. Here we investigate and map currently existing tools that can be used to perform visual analysis on the microbiome, and associate the including methods, visual representations and data features to the research objectives currently of interest in microbiome research. The analysis is based on a combination of a literature review and workshops including a group of domain experts. Both the reviewing process and workshops are based on domain characterization methods to facilitate communication and collaboration between researchers from different disciplines. We identify several research questions related to microbiomes, and describe how different analysis methods and visualizations help in tackling them.
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Affiliation(s)
- Jannes Peeters
- CENSTAT, Data Science Institute (DSI), Hasselt University, Diepenbeek, Belgium
- *Correspondence: Jannes Peeters ,
| | - Olivier Thas
- CENSTAT, Data Science Institute (DSI), Hasselt University, Diepenbeek, Belgium
| | - Ziv Shkedy
- CENSTAT, Data Science Institute (DSI), Hasselt University, Diepenbeek, Belgium
| | - Leyla Kodalci
- CENSTAT, Data Science Institute (DSI), Hasselt University, Diepenbeek, Belgium
| | - Connie Musisi
- CENSTAT, Data Science Institute (DSI), Hasselt University, Diepenbeek, Belgium
| | | | - Aleksandra Dyczko
- VIB Laboratory of Translational Immunomodulation, VIB Center for Inflammation Research (IRC), Hasselt University, Diepenbeek, Belgium
- Department of Immunology and Infection, Biomedical Research Institute (BIOMED), Hasselt University, Diepenbeek, Belgium
| | - Ibrahim Hamad
- VIB Laboratory of Translational Immunomodulation, VIB Center for Inflammation Research (IRC), Hasselt University, Diepenbeek, Belgium
- Department of Immunology and Infection, Biomedical Research Institute (BIOMED), Hasselt University, Diepenbeek, Belgium
| | - Jaco Vangronsveld
- Center for Environmental Sciences, Environmental Biology, Hasselt University, Diepenbeek, Belgium
- Department of Plant Physiology and Biophysics, Faculty of Biology and Biotechnology, Maria Curie–Skłodowska University, Lublin, Poland
| | - Markus Kleinewietfeld
- VIB Laboratory of Translational Immunomodulation, VIB Center for Inflammation Research (IRC), Hasselt University, Diepenbeek, Belgium
- Department of Immunology and Infection, Biomedical Research Institute (BIOMED), Hasselt University, Diepenbeek, Belgium
| | - Sofie Thijs
- Center for Environmental Sciences, Environmental Biology, Hasselt University, Diepenbeek, Belgium
| | - Jan Aerts
- CENSTAT, Data Science Institute (DSI), Hasselt University, Diepenbeek, Belgium
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9
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Contribution of single-cell omics to microbial ecology. Trends Ecol Evol 2021; 37:67-78. [PMID: 34602304 DOI: 10.1016/j.tree.2021.09.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 08/25/2021] [Accepted: 09/01/2021] [Indexed: 12/14/2022]
Abstract
Micro-organisms play key roles in various ecosystems, but many of their functions and interactions remain undefined. To investigate the ecological relevance of microbial communities, new molecular tools are being developed. Among them, single-cell omics assessing genetic diversity at the population and community levels and linking each individual cell to its functions is gaining interest in microbial ecology. By giving access to a wider range of ecological scales (from individual to community) than culture-based approaches and meta-omics, single-cell omics can contribute not only to micro-organisms' genomic and functional identification but also to the testing of concepts in ecology. Here, we discuss the contribution of single-cell omics to possible breakthroughs in concepts and knowledge on microbial ecosystems and ecoevolutionary processes.
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10
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Zvereva EL, Kozlov MV. Latitudinal gradient in the intensity of biotic interactions in terrestrial ecosystems: Sources of variation and differences from the diversity gradient revealed by meta-analysis. Ecol Lett 2021; 24:2506-2520. [PMID: 34322961 DOI: 10.1111/ele.13851] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 06/09/2021] [Accepted: 06/14/2021] [Indexed: 01/19/2023]
Abstract
The Latitudinal Biotic Interaction Hypothesis (LBIH) states that the intensity of biotic interactions increases from high to low latitudes. This hypothesis, which may partly explain latitudinal gradients in biodiversity, remains hotly debated, largely due to variable outcomes of published studies. We used meta-analysis to identify the scope of the LBIH in terrestrial ecosystems. For this purpose, we explored the sources of variation in the strength of latitudinal changes in herbivory, carnivory and parasitism (119 publications) and compared these gradients with gradients in the diversity of the respective groups of animals (102 publications). Overall, both herbivory and carnivory decreased towards the poles, while parasitism increased. The latitudinal gradient in herbivory and carnivory was threefold stronger above 50-60° than at lower latitudes and was significant due to interactions involving ectothermic consumers, studies using standardised prey (i.e. prey lacking local anti-predator adaptations) and studies aimed at testing LBIH. The poleward decrease in biodiversity did not differ between ectothermic and endothermic animals or among climate zones and was fourfold stronger than decrease in herbivory and carnivory. The discovered differences between the gradients in biotic interactions and biodiversity suggest that these two global macroecological patterns are likely shaped by different factors.
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11
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O'Malley MA, Walsh DA. Rethinking microbial infallibility in the metagenomics era. FEMS Microbiol Ecol 2021; 97:6308366. [PMID: 34160589 DOI: 10.1093/femsec/fiab092] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 06/21/2021] [Indexed: 11/12/2022] Open
Abstract
The 'principle of microbial infallibility' was a mainstay of microbial physiology and environmental microbiology in earlier decades. This principle asserts that wherever there is an energetic gain to be made from environmental resources, microorganisms will find a way to take advantage of the situation. Although previously disputed, this claim was revived with the discovery of anammox bacteria and other major contributors to biogeochemistry. Here, we discuss the historical background to microbial infallibility, and focus on its contemporary relevance to metagenomics. Our analysis distinguishes exploration-driven metagenomics from hypothesis-driven metagenomics. In particular, we show how hypothesis-driven metagenomics can use background assumptions of microbial infallibility to enable the formulation of hypotheses to be tested by enrichment cultures. Discoveries of comammox and the anaerobic oxidation of methane are major instances of such strategies, and we supplement them with outlines of additional examples. This overview highlights one way in which metagenomics is making the transition from an exploratory data-analysis programme of research to a hypothesis-testing one. We conclude with a discussion of how microbial infallibility is a heuristic with far-reaching implications for the investigation of life.
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Affiliation(s)
- Maureen A O'Malley
- School of History and Philosophy of Science, Carslaw Building, University of Sydney, Sydney, NSW 2006, Australia
| | - David A Walsh
- Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montreal, Quebec, H4B 1R6, Canada
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12
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Zaura E, Pappalardo VY, Buijs MJ, Volgenant CMC, Brandt BW. Optimizing the quality of clinical studies on oral microbiome: A practical guide for planning, performing, and reporting. Periodontol 2000 2021; 85:210-236. [PMID: 33226702 PMCID: PMC7756869 DOI: 10.1111/prd.12359] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
With this review, we aim to increase the quality standards for clinical studies with microbiome as an output parameter. We critically address the existing body of evidence for good quality practices in oral microbiome studies based on 16S rRNA gene amplicon sequencing. First, we discuss the usefulness of microbiome profile analyses. Is a microbiome study actually the best approach for answering the research question? This is followed by addressing the criteria for the most appropriate study design, sample size, and the necessary data (study metadata) that should be collected. Next, we evaluate the available evidence for best practices in sample collection, transport, storage, and DNA isolation. Finally, an overview of possible sequencing options (eg, 16S rRNA gene hypervariable regions, sequencing platforms), processing and data interpretation approaches, as well as requirements for meaningful data storage, sharing, and reporting are provided.
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Affiliation(s)
- Egija Zaura
- Department of Preventive DentistryAcademic Centre for Dentistry Amsterdam (ACTA)Vrije Universiteit Amsterdam and University of AmsterdamAmsterdamthe Netherlands
| | - Vincent Y. Pappalardo
- Department of Preventive DentistryAcademic Centre for Dentistry Amsterdam (ACTA)Vrije Universiteit Amsterdam and University of AmsterdamAmsterdamthe Netherlands
| | - Mark J. Buijs
- Department of Preventive DentistryAcademic Centre for Dentistry Amsterdam (ACTA)Vrije Universiteit Amsterdam and University of AmsterdamAmsterdamthe Netherlands
| | - Catherine M. C. Volgenant
- Department of Preventive DentistryAcademic Centre for Dentistry Amsterdam (ACTA)Vrije Universiteit Amsterdam and University of AmsterdamAmsterdamthe Netherlands
| | - Bernd W. Brandt
- Department of Preventive DentistryAcademic Centre for Dentistry Amsterdam (ACTA)Vrije Universiteit Amsterdam and University of AmsterdamAmsterdamthe Netherlands
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13
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Hajiagha MN, Taghizadeh S, Asgharzadeh M, Dao S, Ganbarov K, Köse Ş, Kafil HS. Gut microbiota And Human Body Interactions; Its Impact on Health: a review. Curr Pharm Biotechnol 2021; 23:4-14. [PMID: 33397232 DOI: 10.2174/1389201022666210104115836] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 12/27/2022]
Abstract
Gut microbiota (GM) as an organ of the human body has a particular and autonomous function that related to it. This review aimed to investigate human intestinal and gut microbiota interaction and its impact on health. As a creation referable database about this dynamic and complex organ, several comprehensive projects are implemented by using culture-dependent (culturomics), culture independent methods (e.g metagenomics, mathematics model), and Gnotobiological together. This study was done by searching PubMed, Scopus and Google scholar database in the gut, health microbiota and interaction keywords. The first acquired microbiota during pregnancy or childbirth is colonized in the gut by using specific and non-specific mechanisms. That`s structure and shape reach relative stability with selection pressure along with host development until adulthood and keep its resilience against external or internal variables depending on the host genetics and negative feedback. Due to several research individuals have 2 functional group microbiota including the core (common between vast majorities human) and flexible (transient population) microbiome. The most important role of the GM in the human body can be summarized in three basic landscapes: metabolic, immune system, and gut-brain axis interaction. So that loss of microbial population balance will lead to disorder and disease.
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Affiliation(s)
| | - Sepehr Taghizadeh
- Research Center for Pharmaceutical Nanotechnology, Tabriz University of Medical Sciences, Tabriz. Iran
| | - Mohammad Asgharzadeh
- Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz. Iran
| | - Sounkalo Dao
- Faculté de Médecine, de Pharmacie et d'Odonto-Stomatologie (FMPOS), University of Bamako, Bamako. Mali
| | | | - Şükran Köse
- Department of Infectious Diseases and Clinical Microbiology, University of Health Sciences, Tepecik Training and Research Hospital, İzmir. Turkey
| | - Hossein Samadi Kafil
- Drug Applied Research Center, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz. Iran
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14
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McMullen JG, Peters-Schulze G, Cai J, Patterson AD, Douglas AE. How gut microbiome interactions affect nutritional traits of Drosophila melanogaster. ACTA ACUST UNITED AC 2020; 223:223/19/jeb227843. [PMID: 33051361 DOI: 10.1242/jeb.227843] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 08/12/2020] [Indexed: 12/15/2022]
Abstract
Most research on the impact of the gut microbiome on animal nutrition is designed to identify the effects of single microbial taxa and single metabolites of microbial origin, without considering the potentially complex network of interactions among co-occurring microorganisms. Here, we investigated how different microbial associations and their fermentation products affect host nutrition, using Drosophila melanogaster colonized with three gut microorganisms (the bacteria Acetobacter fabarum and Lactobacillus brevis, and the yeast Hanseniaspora uvarum) in all seven possible combinations. Some microbial effects on host traits could be attributed to single taxa (e.g. yeast-mediated reduction of insect development time), while other effects were sex specific and driven by among-microbe interactions (e.g. male lipid content determined by interactions between the yeast and both bacteria). Parallel analysis of nutritional indices of microbe-free flies administered different microbial fermentation products (acetic acid, acetoin, ethanol and lactic acid) revealed a single consistent effect: that the lipid content of both male and female flies is reduced by acetic acid. This effect was recapitulated in male flies colonized with both yeast and A. fabarum, but not for any microbial treatment in females or males with other microbial complements. These data suggest that the effect of microbial fermentation products on host nutritional status is strongly context dependent, with respect to both the combination of associated microorganisms and host sex. Taken together, our findings demonstrate that among-microbe interactions can play a critically important role in determining the physiological outcome of host-microbiome interactions in Drosophila and, likely, in other animal hosts.
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Affiliation(s)
- John G McMullen
- Department of Entomology, Cornell University, Ithaca, NY 14853, USA
| | | | - Jingwei Cai
- Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Andrew D Patterson
- Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Angela E Douglas
- Department of Entomology, Cornell University, Ithaca, NY 14853, USA .,Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
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15
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Host Genotype and Colonist Arrival Order Jointly Govern Plant Microbiome Composition and Function. Curr Biol 2020; 30:3260-3266.e5. [PMID: 32679100 DOI: 10.1016/j.cub.2020.06.011] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 05/28/2020] [Accepted: 06/02/2020] [Indexed: 01/08/2023]
Abstract
The composition of host-associated microbiomes can have important consequences for host health and fitness [1-3]. Yet we still lack understanding of many fundamental processes that determine microbiome composition [4, 5]. There is mounting evidence that historical contingency during microbiome assembly may overshadow more deterministic processes, such as the selective filters imposed by host traits [6-8]. More specifically, species arrival order has been frequently shown to affect microbiome composition [9-12], a phenomenon known as priority effects [13-15]. However, it is less clear whether priority effects during microbiome assembly are consequential for the host [16] or whether intraspecific variation in host traits can alter the trajectory of microbiome assembly under priority effects. In a greenhouse inoculation experiment using the black cottonwood (Populus trichocarpa) foliar microbiome, we manipulated host genotype and the colonization order of common foliar fungi. We quantified microbiome assembly outcomes using fungal marker gene sequencing and measured susceptibility of the colonized host to a leaf rust pathogen, Melampsora × columbiana. We found that the effect of species arrival order on microbiome composition, and subsequent disease susceptibility, depended on the host genotype. Additionally, we found that microbiome assembly history can affect host disease susceptibility independent of microbiome composition at the time of pathogen exposure, suggesting that the interactive effects of species arrival order and host genotype can decouple community composition and function. Overall, these results highlight the importance of a key process underlying stochasticity in microbiome assembly while also revealing which hosts are most likely to experience these effects.
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Coleman CM, Ferreira D. Oligosaccharides and Complex Carbohydrates: A New Paradigm for Cranberry Bioactivity. Molecules 2020; 25:E881. [PMID: 32079271 PMCID: PMC7070526 DOI: 10.3390/molecules25040881] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Revised: 02/04/2020] [Accepted: 02/14/2020] [Indexed: 02/07/2023] Open
Abstract
Cranberry is a well-known functional food, but the compounds directly responsible for many of its reported health benefits remain unidentified. Complex carbohydrates, specifically xyloglucan and pectic oligosaccharides, are the newest recognized class of biologically active compounds identified in cranberry materials. Cranberry oligosaccharides have shown similar biological properties as other dietary oligosaccharides, including effects on bacterial adhesion, biofilm formation, and microbial growth. Immunomodulatory and anti-inflammatory activity has also been observed. Oligosaccharides may therefore be significant contributors to many of the health benefits associated with cranberry products. Soluble oligosaccharides are present at relatively high concentrations (~20% w/w or greater) in many cranberry materials, and yet their possible contributions to biological activity have remained unrecognized. This is partly due to the inherent difficulty of detecting these compounds without intentionally seeking them. Inconsistencies in product descriptions and terminology have led to additional confusion regarding cranberry product composition and the possible presence of oligosaccharides. This review will present our current understanding of cranberry oligosaccharides and will discuss their occurrence, structures, ADME, biological properties, and possible prebiotic effects for both gut and urinary tract microbiota. Our hope is that future investigators will consider these compounds as possible significant contributors to the observed biological effects of cranberry.
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Affiliation(s)
- Christina M. Coleman
- Department of BioMolecular Sciences, Division of Pharmacognosy, and the Research Institute of Pharmaceutical Sciences, School of Pharmacy, University of Mississippi, University, MS 38677, USA
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Liu Y, Weyrich LS, Llamas B. More Arrows in the Ancient DNA Quiver: Use of Paleoepigenomes and Paleomicrobiomes to Investigate Animal Adaptation to Environment. Mol Biol Evol 2020; 37:307-319. [PMID: 31638147 DOI: 10.1093/molbev/msz231] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Whether and how epigenetic mechanisms and the microbiome play a role in mammalian adaptation raised considerable attention and controversy, mainly because they have the potential to add new insights into the Modern Synthesis. Recent attempts to reconcile neo-Darwinism and neo-Lamarckism in a unified theory of molecular evolution give epigenetic mechanisms and microbiome a prominent role. However, supporting empirical data are still largely missing. Because experimental studies using extant animals can hardly be done over evolutionary timescales, we propose that advances in ancient DNA techniques provide a valid alternative. In this piece, we evaluate 1) the possible roles of epigenomes and microbiomes in animal adaptation, 2) advances in the retrieval of paleoepigenome and paleomicrobiome data using ancient DNA techniques, and 3) the plasticity of either and interactions between the epigenome and the microbiome, while emphasizing that it is essential to take both into account, as well as the underlying genetic factors that may confound the findings. We propose that advanced ancient DNA techniques should be applied to a wide range of past animals, so novel dynamics in animal evolution and adaption can be revealed.
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Affiliation(s)
- Yichen Liu
- Australian Centre for Ancient DNA, School of Biological Sciences, Environment Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Laura S Weyrich
- Australian Centre for Ancient DNA, School of Biological Sciences, Environment Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Bastien Llamas
- Australian Centre for Ancient DNA, School of Biological Sciences, Environment Institute, University of Adelaide, Adelaide, South Australia, Australia
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18
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Liao T, Wei Y, Luo M, Zhao GP, Zhou H. tmap: an integrative framework based on topological data analysis for population-scale microbiome stratification and association studies. Genome Biol 2019; 20:293. [PMID: 31870407 PMCID: PMC6927166 DOI: 10.1186/s13059-019-1871-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 10/29/2019] [Indexed: 11/16/2022] Open
Abstract
Untangling the complex variations of microbiome associated with large-scale host phenotypes or environment types challenges the currently available analytic methods. Here, we present tmap, an integrative framework based on topological data analysis for population-scale microbiome stratification and association studies. The performance of tmap in detecting nonlinear patterns is validated by different scenarios of simulation, which clearly demonstrate its superiority over the most commonly used methods. Application of tmap to several population-scale microbiomes extensively demonstrates its strength in revealing microbiome-associated host or environmental features and in understanding the systematic interrelations among their association patterns. tmap is available at https://github.com/GPZ-Bioinfo/tmap.
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Affiliation(s)
- Tianhua Liao
- Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yuchen Wei
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong, 999077, SAR, China
| | - Mingjing Luo
- Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Guo-Ping Zhao
- Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong, 999077, SAR, China.
- Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- CAS-Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, China.
- Department of Microbiology and Microbial Engineering, School of Life Sciences, Fudan University, Shanghai, 200433, China.
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center, Shanghai, 201203, China.
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, 999077, SAR, China.
| | - Haokui Zhou
- Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong, 999077, SAR, China.
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A horizon scan of priorities for coastal marine microbiome research. Nat Ecol Evol 2019; 3:1509-1520. [PMID: 31636428 DOI: 10.1038/s41559-019-0999-7] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 09/05/2019] [Indexed: 12/21/2022]
Abstract
Research into the microbiomes of natural environments is changing the way ecologists and evolutionary biologists view the importance of microorganisms in ecosystem function. This is particularly relevant in ocean environments, where microorganisms constitute the majority of biomass and control most of the major biogeochemical cycles, including those that regulate Earth's climate. Coastal marine environments provide goods and services that are imperative to human survival and well-being (for example, fisheries and water purification), and emerging evidence indicates that these ecosystem services often depend on complex relationships between communities of microorganisms (the 'microbiome') and the environment or their hosts - termed the 'holobiont'. Understanding of coastal ecosystem function must therefore be framed under the holobiont concept, whereby macroorganisms and their associated microbiomes are considered as a synergistic ecological unit. Here, we evaluate the current state of knowledge on coastal marine microbiome research and identify key questions within this growing research area. Although the list of questions is broad and ambitious, progress in the field is increasing exponentially, and the emergence of large, international collaborative networks and well-executed manipulative experiments are rapidly advancing the field of coastal marine microbiome research.
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Hull NM, Ling F, Pinto AJ, Albertsen M, Jang HG, Hong PY, Konstantinidis KT, LeChevallier M, Colwell RR, Liu WT. Drinking Water Microbiome Project: Is it Time? Trends Microbiol 2019; 27:670-677. [DOI: 10.1016/j.tim.2019.03.011] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 03/15/2019] [Accepted: 03/26/2019] [Indexed: 02/06/2023]
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21
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Litvak Y, Bäumler AJ. Microbiota-Nourishing Immunity: A Guide to Understanding Our Microbial Self. Immunity 2019; 51:214-224. [DOI: 10.1016/j.immuni.2019.08.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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22
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Lajoie G, Kembel SW. Making the Most of Trait-Based Approaches for Microbial Ecology. Trends Microbiol 2019; 27:814-823. [PMID: 31296406 DOI: 10.1016/j.tim.2019.06.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 06/12/2019] [Accepted: 06/13/2019] [Indexed: 12/13/2022]
Abstract
There is an increasing interest in applying trait-based approaches to microbial ecology, but the question of how and why to do it is still lagging behind. By anchoring our discussion of these questions in a framework derived from epistemology, we broaden the scope of trait-based approaches to microbial ecology from one oriented mostly around explanation towards one inclusive of the predictive and integrative potential of these approaches. We use case studies from macro-organismal ecology to concretely show how these goals for knowledge development can be fulfilled and propose clear directions, adapted to the biological reality of microbes, to make the most of recent advancements in the measurement of microbial phenotypes and traits.
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Affiliation(s)
- Geneviève Lajoie
- Département des Sciences Biologiques, Université du Québec à Montréal, 141 Avenue du Président-Kennedy, Montréal, Canada, H2X 1Y4.
| | - Steven W Kembel
- Département des Sciences Biologiques, Université du Québec à Montréal, 141 Avenue du Président-Kennedy, Montréal, Canada, H2X 1Y4
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Evolutionary history constrains microbial traits across environmental variation. Nat Ecol Evol 2019; 3:1064-1069. [DOI: 10.1038/s41559-019-0918-y] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 05/07/2019] [Indexed: 11/08/2022]
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Litvak Y, Bäumler AJ. The founder hypothesis: A basis for microbiota resistance, diversity in taxa carriage, and colonization resistance against pathogens. PLoS Pathog 2019; 15:e1007563. [PMID: 30789972 PMCID: PMC6383860 DOI: 10.1371/journal.ppat.1007563] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Affiliation(s)
- Yael Litvak
- Department of Medical Microbiology and Immunology, School of Medicine, University of California at Davis, Davis, California, United States of America
| | - Andreas J. Bäumler
- Department of Medical Microbiology and Immunology, School of Medicine, University of California at Davis, Davis, California, United States of America
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