Kin Selection Explains the Evolution of Cooperation in the Gut Microbiota
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Ecology and Evolution of Metabolic Cross-Feeding Interactions in Bacteria† Cite This: Nat
Natural Product Reports View Article Online REVIEW View Journal | View Issue Ecology and evolution of metabolic cross-feeding interactions in bacteria† Cite this: Nat. Prod. Rep.,2018,35,455 Glen D'Souza, ab Shraddha Shitut, ce Daniel Preussger,c Ghada Yousif,cde Silvio Waschina f and Christian Kost *ce Literature covered: early 2000s to late 2017 Bacteria frequently exchange metabolites with other micro- and macro-organisms. In these often obligate cross-feeding interactions, primary metabolites such as vitamins, amino acids, nucleotides, or growth factors are exchanged. The widespread distribution of this type of metabolic interactions, however, is at odds with evolutionary theory: why should an organism invest costly resources to benefit other individuals rather than using these metabolites to maximize its own fitness? Recent empirical work has fi fi Creative Commons Attribution 3.0 Unported Licence. shown that bacterial genotypes can signi cantly bene t from trading metabolites with other bacteria relative to cells not engaging in such interactions. Here, we will provide a comprehensive overview over the ecological factors and evolutionary mechanisms that have been identified to explain the evolution Received 25th January 2018 and maintenance of metabolic mutualisms among microorganisms. Furthermore, we will highlight DOI: 10.1039/c8np00009c general principles that underlie the adaptive evolution of interconnected microbial metabolic networks rsc.li/npr as well as the evolutionary consequences that result for cells living in such communities. 1 Introduction 2.5 Mechanisms of metabolite transfer This article is licensed under a 2 Metabolic cross-feeding interactions 2.5.1 Contact-independent mechanisms 2.1 Historical account 2.5.1.1 Passive diffusion 2.2 Classication of cross-feeding interactions 2.5.1.2 Active transport 2.2.1 Unidirectional by-product cross-feeding 2.5.1.3 Vesicle-mediated transport Open Access Article. -
Contribution of the Human Microbiome and Proteus Mirabilis to Onset and Progression of Rheumatoid Arthritis: Potential for Targeted Therapy
Internet Journal of Allied Health Sciences and Practice Volume 19 Number 3 Article 6 2021 Contribution of the Human Microbiome and Proteus mirabilis to Onset and Progression of Rheumatoid Arthritis: Potential for Targeted Therapy Jessica Kerpez Nova Southeastern University, [email protected] Marc Kesselman Nova Southeastern University, [email protected] Michelle Demory Beckler Nova Southeastern University, [email protected] Follow this and additional works at: https://nsuworks.nova.edu/ijahsp Part of the Genetic Phenomena Commons, Genetic Processes Commons, Immune System Diseases Commons, Medical Biochemistry Commons, and the Musculoskeletal Diseases Commons Recommended Citation Kerpez J, Kesselman M, Demory Beckler M. Contribution of the Human Microbiome and Proteus mirabilis to Onset and Progression of Rheumatoid Arthritis: Potential for Targeted Therapy. The Internet Journal of Allied Health Sciences and Practice. 2021 Jan 01;19(3), Article 6. This Review Article is brought to you for free and open access by the College of Health Care Sciences at NSUWorks. It has been accepted for inclusion in Internet Journal of Allied Health Sciences and Practice by an authorized editor of NSUWorks. For more information, please contact [email protected]. Contribution of the Human Microbiome and Proteus mirabilis to Onset and Progression of Rheumatoid Arthritis: Potential for Targeted Therapy Abstract The human microbiome has been shown to play a role in the regulation of human health, behavior, and disease. Data suggests that microorganisms that co-evolved within humans have an enhanced ability to prevent the development of a large spectrum of immune-related disorders but may also lead to the onset of conditions when homeostasis is disrupted. -
Health Impact and Therapeutic Manipulation of the Gut Microbiome
Review Health Impact and Therapeutic Manipulation of the Gut Microbiome Eric Banan-Mwine Daliri 1 , Fred Kwame Ofosu 1 , Ramachandran Chelliah 1, Byong Hoon Lee 2,3,* and Deog-Hwan Oh 1 1 Department of Food Science and Biotechnology, Kangwon National University, Chuncheon 200-701, Korea; [email protected] (E.B.-M.D.); [email protected] (F.K.O.); [email protected] (R.C.); [email protected] (D.-H.O.) 2 Department of Microbiology/Immunology, McGill University, Montreal, QC H3A 2B4, Canada 3 SportBiomics, Sacramento Inc., Sacramento, CA 95660, USA * Correspondence: [email protected] Received: 24 March 2020; Accepted: 19 July 2020; Published: 29 July 2020 Abstract: Recent advances in microbiome studies have revealed much information about how the gut virome, mycobiome, and gut bacteria influence health and disease. Over the years, many studies have reported associations between the gut microflora under different pathological conditions. However, information about the role of gut metabolites and the mechanisms by which the gut microbiota affect health and disease does not provide enough evidence. Recent advances in next-generation sequencing and metabolomics coupled with large, randomized clinical trials are helping scientists to understand whether gut dysbiosis precedes pathology or gut dysbiosis is secondary to pathology. In this review, we discuss our current knowledge on the impact of gut bacteria, virome, and mycobiome interactions with the host and how they could be manipulated to promote health. Keywords: microbiome; biomarkers; personalized nutrition; microbes; metagenomics 1. Introduction The human body consists of mammalian cells and many microbial cells (bacteria, viruses, and fungi) which co-exist symbiotically. -
New Insights Into the Co-Occurrences of Glycoside Hydrolase Genes Among Prokaryotic Genomes Through Network Analysis
microorganisms Article New Insights into the Co-Occurrences of Glycoside Hydrolase Genes among Prokaryotic Genomes through Network Analysis Alei Geng * , Meng Jin, Nana Li, Daochen Zhu , Rongrong Xie, Qianqian Wang, Huaxing Lin and Jianzhong Sun * Biofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China; [email protected] (M.J.); [email protected] (N.L.); [email protected] (D.Z.); [email protected] (R.X.); [email protected] (Q.W.); [email protected] (H.L.) * Correspondence: [email protected] (A.G.); [email protected] (J.S.) Abstract: Glycoside hydrolase (GH) represents a crucial category of enzymes for carbohydrate uti- lization in most organisms. A series of glycoside hydrolase families (GHFs) have been classified, with relevant information deposited in the CAZy database. Statistical analysis indicated that most GHFs (134 out of 154) were prone to exist in bacteria rather than archaea, in terms of both occurrence frequencies and average gene numbers. Co-occurrence analysis suggested the existence of strong or moderate-strong correlations among 63 GHFs. A combination of network analysis by Gephi and functional classification among these GHFs demonstrated the presence of 12 functional categories (from group A to L), with which the corresponding microbial collections were subsequently labeled, respectively. Interestingly, a progressive enrichment of particular GHFs was found among several types of microbes, and type-L as well as type-E microbes were deemed as functional intensified Citation: Geng, A.; Jin, M.; Li, N.; species which formed during the microbial evolution process toward efficient decomposition of Zhu, D.; Xie, R.; Wang, Q.; Lin, H.; lignocellulose as well as pectin, respectively. -
The Human Microbiome, Diet, and Health: Workshop Summary
This PDF is available from The National Academies Press at http://www.nap.edu/catalog.php?record_id=13522 The Human Microbiome, Diet, and Health: Workshop Summary ISBN Leslie Pray, Laura Pillsbury, and Emily Tomayko, Rapporteurs; Food 978-0-309-26585-0 Forum; Food and Nutrition Board; Institute of Medicine 181 pages 6 x 9 PAPERBACK (2013) Visit the National Academies Press online and register for... Instant access to free PDF downloads of titles from the NATIONAL ACADEMY OF SCIENCES NATIONAL ACADEMY OF ENGINEERING INSTITUTE OF MEDICINE NATIONAL RESEARCH COUNCIL 10% off print titles Custom notification of new releases in your field of interest Special offers and discounts Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the National Academies Press. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Request reprint permission for this book Copyright © National Academy of Sciences. All rights reserved. The Human Microbiome, Diet, and Health: Workshop Summary Workshop Summary The Human Microbiome, Diet, and Health Leslie Pray, Laura Pillsbury, and Emily Tomayko, Rapporteurs Food Forum Food and Nutrition Board Copyright © National Academy of Sciences. All rights reserved. The Human Microbiome, Diet, and Health: Workshop Summary THE NATIONAL ACADEMIES PRESS 500 Fifth Street, NW Washington, DC 20001 NOTICE: The project that is the subject of this report was approved by the Govern- ing Board of the National Research Council, whose members are drawn from the councils of the National Academy of Sciences, the National Academy of Engineer- ing, and the Institute of Medicine. This study was supported by Contract Nos. -
Skin Microbiome Analysis for Forensic Human Identification: What Do We Know So Far?
microorganisms Review Skin Microbiome Analysis for Forensic Human Identification: What Do We Know So Far? Pamela Tozzo 1,*, Gabriella D’Angiolella 2 , Paola Brun 3, Ignazio Castagliuolo 3, Sarah Gino 4 and Luciana Caenazzo 1 1 Department of Molecular Medicine, Laboratory of Forensic Genetics, University of Padova, 35121 Padova, Italy; [email protected] 2 Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy; [email protected] 3 Department of Molecular Medicine, Section of Microbiology, University of Padova, 35121 Padova, Italy; [email protected] (P.B.); [email protected] (I.C.) 4 Department of Health Sciences, University of Piemonte Orientale, 28100 Novara, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-0498272234 Received: 11 May 2020; Accepted: 8 June 2020; Published: 9 June 2020 Abstract: Microbiome research is a highly transdisciplinary field with a wide range of applications and methods for studying it, involving different computational approaches and models. The fact that different people host radically different microbiota highlights forensic perspectives in understanding what leads to this variation and what regulates it, in order to effectively use microbes as forensic evidence. This narrative review provides an overview of some of the main scientific works so far produced, focusing on the potentiality of using skin microbiome profiling for human identification in forensics. This review was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The examined literature clearly ascertains that skin microbial communities, although personalized, vary systematically across body sites and time, with intrapersonal differences over time smaller than interpersonal ones, showing such a high degree of spatial and temporal variability that the degree and nature of this variability can constitute in itself an important parameter useful in distinguishing individuals from one another. -
Understanding Microbial Cooperation
Journal of Theoretical Biology 299 (2012) 31–41 Contents lists available at ScienceDirect Journal of Theoretical Biology journal homepage: www.elsevier.com/locate/yjtbi Understanding microbial cooperation James A. Damore, Jeff Gore à Department of Physics, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, United States article info abstract Available online 17 March 2011 The field of microbial cooperation has grown enormously over the last decade, leading to improved Keywords: experimental techniques and a growing awareness of collective behavior in microbes. Unfortunately, Evolutionary game theory many of our theoretical tools and concepts for understanding cooperation fail to take into account the Kin selection peculiarities of the microbial world, namely strong selection strengths, unique population structure, Hamilton’s rule and non-linear dynamics. Worse yet, common verbal arguments are often far removed from the math Multilevel selection involved, leading to confusion and mistakes. Here, we review the general mathematical forms of Price’s Price’s equation equation, Hamilton’s rule, and multilevel selection as they are applied to microbes and provide some intuition on these otherwise abstract formulas. However, these sometimes overly general equations can lack specificity and predictive power, ultimately forcing us to advocate for more direct modeling techniques. & 2011 Elsevier Ltd. All rights reserved. 1. Introduction do not hold, both methods resort to abstract generalities, making application difficult and prone to error. Cooperation presents a fundamental challenge to customary Microbes present a unique opportunity for scientists interested in evolutionary thinking. If only the fittest organisms survive, why the evolution of cooperation because of their well-characterized and would an individual ever pay a fitness cost for another organism simple genetics, fast generation times, and easily manipulated and to benefit? Traditionally, kin selection and group selection have measured interactions. -
Potential Role of Microbiome in Oncogenesis, Outcome Prediction
Oral Oncology 99 (2019) 104453 Contents lists available at ScienceDirect Oral Oncology journal homepage: www.elsevier.com/locate/oraloncology Review Potential role of microbiome in oncogenesis, outcome prediction and therapeutic targeting for head and neck cancer T ⁎ Ester Orlandia,b, , Nicola Alessandro Iacovellib, Vincenzo Tombolinic, Tiziana Rancatid, Antonella Polimenie, Loris De Ceccof, Riccardo Valdagnia,d,g, Francesca De Felicec a Department of Radiotherapy 1, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy b Department of Radiotherapy 2, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy c Department of Radiotherapy, Policlinico Umberto I, “Sapienza” University of Rome, Rome, Italy d Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy e Department of Oral and Maxillo Facial Sciences, Policlinico Umberto I, “Sapienza” University of Rome, Italy f Integrated Biology Platform, Department of Applied Research and Technology Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy g Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy ARTICLE INFO ABSTRACT Keywords: In the last decade, human microbiome research is rapidly growing involving several fields of clinical medicine Head and neck cancer and population health. Although the microbiome seems to be linked to all sorts of diseases, cancer has the Biomarkers biggest potential to be investigated. Microbiome Following the publication of the National Institute of Health - Human Microbiome Project (NIH-HMP), the Microbiota link between Head and Neck Cancer (HNC) and microbiome seems to be a fast-moving field in research area. Oncogenesis However, robust evidence-based literature is still quite scarce. Nevertheless the relationship between oral mi- Radiotherapy Immunotherapy crobiome and HNC could have important consequences for prevention and early detection of this type of tumors. -
Population Genetics in the Human Microbiome
Population Genetics in the Human Microbiome Nandita Garud Department of Ecology and Evolutionary Biology, UCLA [email protected] | http://garud.eeb.ucla.edu @nanditagarud The human microbiome is a complex community Bacteria Fungi Viruses Archaea Who is there? What are they doing? Who is there? What are they doing? How are they evolving? Rapid evolution in a simple community Time Richard Lenski and colleagues Do microbiota respond to their environment by evolutionary or ecological processes? Species fluctuations Do microbiota respond to their environment by evolutionary or ecological processes? X Invasion X X X X X X X X X Do microbiota respond to their environment by evolutionary or ecological processes? Evolution Do microbiota respond to their environment by evolutionary or ecological processes? Evolution = change in allele frequency ≠ change in species composition Abundant opportunity for evolution in the human microbiome ~1:1 ratio of human to microbial cells! Sender et al. 2016 PLoS Bio. ~1 billion mutations entering our microbiomes daily! Zhao, Lieberman et al. 2019 Cell Host Microbe Evolution What determines the fate of a new mutation? • Data • Drift and migration • Adaptation • Recombination Population genetic processes can give rise to a range of traits in the microbiome Digestion of food Antibiotic resistance Drug metabolism Hehemann et al. 2010 Nature (e.g. Karami et al. 2007 J. Antimicrob. (Haiser et al. 2013 Science) Chemother.) Ecology AND Evolution Ecology Evolution Distribution of allele Distribution of species frequencies -
Metabolic Modeling of Microbial Community Interactions for Health, En- Vironmental and Biotechnological Applications
Send Orders for Reprints to [email protected] 712 Current Genomics, 2018, 19, 712-722 REVIEW ARTICLE Metabolic Modeling of Microbial Community Interactions for Health, En- vironmental and Biotechnological Applications Kok Siong Ang1, Meiyappan Lakshmanan1, Na-Rae Lee2 and Dong-Yup Lee1,2,3,* 1Bioprocessing Technology Institute (BTI), A*STAR, Singapore 138668, Singapore; 2Department of Chemical and Bio- molecular Engineering, and NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), National Uni- versity of Singapore, Singapore 117585, Singapore; 3School of Chemical Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do 16419, Republic of Korea Abstract: In nature, microbes do not exist in isolation but co-exist in a variety of ecological and bio- logical environments and on various host organisms. Due to their close proximity, these microbes in- teract among themselves, and also with the hosts in both positive and negative manners. Moreover, these interactions may modulate dynamically upon external stimulus as well as internal community changes. This demands systematic techniques such as mathematical modeling to understand the intrin- sic community behavior. Here, we reviewed various approaches for metabolic modeling of microbial A R T I C L E H I S T O R Y communities. If detailed species-specific information is available, segregated models of individual or- Received: June 25, 2017 ganisms can be constructed and connected via metabolite exchanges; otherwise, the community may Revised: November 08, 2017 be represented as a lumped network of metabolic reactions. The constructed models can then be simu- Accepted: November 11, 2017 lated to help fill knowledge gaps, and generate testable hypotheses for designing new experiments. -
Cooperation in Microbial Populations: Theory and Experimental Model Systems
Review Cooperation in Microbial Populations: Theory and Experimental Model Systems J. Cremer 1,A.Melbinger3,K.Wienand3,T.Henriquez2, H. Jung 2 and E. Frey 3 1 - Department of Molecular Immunology and Microbiology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9747 AG Groningen, the Netherlands 2 - Microbiology, Department of Biology I, Ludwig-Maximilians-Universitat€ München, Grosshaderner Strasse 2-4, Martinsried, Germany 3 - Arnold-Sommerfeld-Center for Theoretical Physics and Center for Nanoscience, Ludwig-Maximilians-Universitat€ München, Theresienstrasse 37, D-80333 Munich, Germany Correspondence to E. Frey and H. Jung: [email protected], [email protected] https://doi.org/10.1016/j.jmb.2019.09.023 Edited by Ulrich Gerland Abstract Cooperative behavior, the costly provision of benefits to others, is common across all domains of life. This review article discusses cooperative behavior in the microbial world, mediated by the exchange of extracellular products called public goods. We focus on model species for which the production of a public good and the related growth disadvantage for the producing cells are well described. To unveil the biological and ecological factors promoting the emergence and stability of cooperative traits we take an interdisciplinary perspective and review insights gained from both mathematical models and well-controlled experimental model systems. Ecologically, we include crucial aspects of the microbial life cycle into our analysis and particularly consider population structures where ensembles of local communities (subpopulations) continuously emerge, grow, and disappear again. Biologically, we explicitly consider the synthesis and regulation of public good production. The discussion of the theoretical approaches includes general evolutionary concepts, population dynamics, and evolutionary game theory. -
Eco-Evolutionary Dynamics of Decomposition: Scaling up From
1 Eco-evolutionary dynamics of decomposition: scaling up from 2 microbial cooperation to ecosystem function 1,2* 3,4 2,5,6 3 Elsa Abs , H´el`eneLeman , and R´egisFerri`ere 1 4 Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 5 92697, USA. 2 6 Interdisciplinary Center for Interdisciplinary Global Environmental Studies (iGLOBES), 7 CNRS, Ecole Normale Sup´erieure, Paris Sciences & Lettres University, University of 8 Arizona, Tucson AZ 85721, USA. 3 9 Numed Inria team, UMPA UMR 5669, Ecole Normale Sup´erieure, 69364 Lyon, France. 4 10 Centro de Investigaci´onen Matem´aticas, 36240 Guanajuato, M´exico. 5 11 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, 12 USA. 6 13 Institut de Biologie (IBENS), Ecole Normale Sup´erieure, Paris Sciences & Lettres 14 University, CNRS, INSERM, 75005 Paris, France. 15 16 Keywords: Degradative exoenzyme, Evolutionary stability, Spatial structure, Scaling limits, Soil 17 carbon stock, Eco-evolutionary feedback, Adaptive dynamics. 18 Type of Article: Article 19 Number of words in the abstract: 165 20 Number of words in the main text: 2883 21 Number of references: 48 22 Number of figures: 5 23 Corresponding author: Elsa Abs. Phone: (520) 208-1112. Email address: [email protected] Elsa Abs: [email protected]: Corresponding author H´el`eneLeman: [email protected] R´egisFerri`ere:[email protected] 24 The decomposition of soil organic matter (SOM) is a critically important process in 25 global terrestrial ecosystems. SOM decomposition is driven by micro-organisms that 26 cooperate by secreting costly extracellular enzymes. This raises a basic puzzle: the 27 stability of microbial decomposition in spite of its evolutionary vulnerability to 28 `cheaters'|mutant strains that reap the benefits of cooperation while paying a lower 29 cost.