Rich Repertoire of Quorum Sensing Protein Coding Sequences in CPR
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Marsarchaeota Are an Aerobic Archaeal Lineage Abundant in Geothermal Iron Oxide Microbial Mats
Marsarchaeota are an aerobic archaeal lineage abundant in geothermal iron oxide microbial mats Authors: Zackary J. Jay, Jacob P. Beam, Mansur Dlakic, Douglas B. Rusch, Mark A. Kozubal, and William P. Inskeep This is a postprint of an article that originally appeared in Nature Microbiology on May 14, 2018. The final version can be found at https://dx.doi.org/10.1038/s41564-018-0163-1. Jay, Zackary J. , Jacob P. Beam, Mensur Dlakic, Douglas B. Rusch, Mark A. Kozubal, and William P. Inskeep. "Marsarchaeota are an aerobic archaeal lineage abundant in geothermal iron oxide microbial mats." Nature Microbiology 3, no. 6 (May 2018): 732-740. DOI: 10.1038/ s41564-018-0163-1. Made available through Montana State University’s ScholarWorks scholarworks.montana.edu Marsarchaeota are an aerobic archaeal lineage abundant in geothermal iron oxide microbial mats Zackary J. Jay1,4,7, Jacob P. Beam1,5,7, Mensur Dlakić2, Douglas B. Rusch3, Mark A. Kozubal1,6 and William P. Inskeep 1* The discovery of archaeal lineages is critical to our understanding of the universal tree of life and evolutionary history of the Earth. Geochemically diverse thermal environments in Yellowstone National Park provide unprecedented opportunities for studying archaea in habitats that may represent analogues of early Earth. Here, we report the discovery and character- ization of a phylum-level archaeal lineage proposed and herein referred to as the ‘Marsarchaeota’, after the red planet. The Marsarchaeota contains at least two major subgroups prevalent in acidic, microaerobic geothermal Fe(III) oxide microbial mats across a temperature range from ~50–80 °C. Metagenomics, single-cell sequencing, enrichment culturing and in situ transcrip- tional analyses reveal their biogeochemical role as facultative aerobic chemoorganotrophs that may also mediate the reduction of Fe(III). -
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. -
Quorum Sensing Modulates the Epibiotic-Parasitic Relationship
fmicb-09-02049 September 24, 2018 Time: 16:12 # 1 ORIGINAL RESEARCH published: 24 September 2018 doi: 10.3389/fmicb.2018.02049 Quorum Sensing Modulates the Epibiotic-Parasitic Relationship Between Actinomyces odontolyticus and Its Saccharibacteria epibiont, a Nanosynbacter lyticus Strain, TM7x Joseph K. Bedree1,2, Batbileg Bor2, Lujia Cen2, Anna Edlund3, Renate Lux4, Jeffrey S. McLean5, Wenyuan Shi2* and Xuesong He2* 1 Section of Oral Biology, Division of Oral Biology and Medicine, School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States, 2 Department of Microbiology, The Forsyth Institute, Cambridge, MA, United States, 3 Department of Genomic Medicine, J. Craig Venter Institute, La Jolla, CA, United States, 4 Section of Periodontics, Division of Constitutive and Regenerative Sciences, School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States, 5 Department of Periodontics, School of Dentistry, University of Washington, Seattle, WA, United States Edited by: The ultra-small, obligate parasitic epibiont, TM7x, the first and only current member of Sebastian Fraune, Christian-Albrechts-Universität zu Kiel, the long-elusive Saccharibacteria (formerly the TM7 phylum) phylum to be cultivated, Germany was isolated in co-culture with its bacterial host, Actinomyces odontolyticus subspecies Reviewed by: actinosynbacter, XH001. Initial phenotypic characterization of the TM7x-associated Jürgen Tomasch, XH001 co-culture revealed enhanced biofilm formation in the presence of TM7x Helmholtz-Gemeinschaft Deutscher Forschungszentren (HZ), Germany compared to XH001 as monoculture. Genomic analysis and previously published Tim Miyashiro, transcriptomic profiling of XH001 also revealed the presence of a putative AI-2 quorum Pennsylvania State University, United States sensing (QS) operon, which was highly upregulated upon association of TM7x with *Correspondence: XH001. -
Phenotypic and Physiological Characterization of the Epibiotic Interaction Between Tm7x and Its Basibiont Actinomyces
HHS Public Access Author manuscript Author Manuscript Author ManuscriptMicrob Author ManuscriptEcol. Author manuscript; Author Manuscript available in PMC 2017 January 01. Published in final edited form as: Microb Ecol. 2016 January ; 71(1): 243–255. doi:10.1007/s00248-015-0711-7. Phenotypic and physiological characterization of the epibiotic interaction between TM7x and its basibiont Actinomyces Batbileg Bor1, Nicole Poweleit2, Justin S. Bois3, Lujia Cen1, Joseph K. Bedree1, Z. Hong Zhou2,4, Robert P. Gunsalus2, Renate Lux1, Jeffrey S. McLean5, Xuesong He1,*, and Wenyuan Shi1,* 1Section of Oral Biology, School of Dentistry, University of California, Los Angeles, CA 90095 2Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095 3Division of Biology and Biological Engineering, California Institute of Technology, MC 114-96, Pasadena, CA 91125 4California Nanosystems Institute, University of California, Los Angeles, California 90095 5Department of Periodontics, University of Washington, Seattle, WA 98195 Abstract Despite many examples of obligate epibiotic symbiosis (one organism living on the surface of another) in nature, such an interaction has rarely been observed between two bacteria. Here, we further characterize a newly reported interaction between a human oral obligate parasitic bacterium TM7x (cultivated member of Candidatus Saccharimonas formerly Candidate Phylum TM7), and its basibiont Actinomyces odontolyticus species (XH001), providing a model system to study epiparasitic symbiosis in the domain Bacteria. Detailed microscopic studies indicate that both partners display extensive morphological changes during symbiotic growth. XH001 cells manifested as short rods in monoculture, but displayed elongated and hyphal morphology when physically associated with TM7x. Interestingly, these dramatic morphological changes in XH001 were also induced in oxygen-depleted conditions, even in the absence of TM7x. -
Metabolic Network Percolation Quantifies Biosynthetic Capabilities
RESEARCH ARTICLE Metabolic network percolation quantifies biosynthetic capabilities across the human oral microbiome David B Bernstein1,2, Floyd E Dewhirst3,4, Daniel Segre` 1,2,5,6,7* 1Department of Biomedical Engineering, Boston University, Boston, United States; 2Biological Design Center, Boston University, Boston, United States; 3The Forsyth Institute, Cambridge, United States; 4Harvard School of Dental Medicine, Boston, United States; 5Bioinformatics Program, Boston University, Boston, United States; 6Department of Biology, Boston University, Boston, United States; 7Department of Physics, Boston University, Boston, United States Abstract The biosynthetic capabilities of microbes underlie their growth and interactions, playing a prominent role in microbial community structure. For large, diverse microbial communities, prediction of these capabilities is limited by uncertainty about metabolic functions and environmental conditions. To address this challenge, we propose a probabilistic method, inspired by percolation theory, to computationally quantify how robustly a genome-derived metabolic network produces a given set of metabolites under an ensemble of variable environments. We used this method to compile an atlas of predicted biosynthetic capabilities for 97 metabolites across 456 human oral microbes. This atlas captures taxonomically-related trends in biomass composition, and makes it possible to estimate inter-microbial metabolic distances that correlate with microbial co-occurrences. We also found a distinct cluster of fastidious/uncultivated taxa, including several Saccharibacteria (TM7) species, characterized by their abundant metabolic deficiencies. By embracing uncertainty, our approach can be broadly applied to understanding metabolic interactions in complex microbial ecosystems. *For correspondence: DOI: https://doi.org/10.7554/eLife.39733.001 [email protected] Competing interests: The authors declare that no Introduction competing interests exist. -
Deep Metagenomics Examines the Oral Microbiome During Dental Caries, Revealing Novel Taxa and Co-Occurrences with Host Molecules
Downloaded from genome.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Research Deep metagenomics examines the oral microbiome during dental caries, revealing novel taxa and co-occurrences with host molecules Jonathon L. Baker,1 James T. Morton,2 Márcia Dinis,3 Ruth Alvarez,3 Nini C. Tran,3 Rob Knight,4,5,6,7 and Anna Edlund1,5 1Genomic Medicine Group, J. Craig Venter Institute, La Jolla, California 92037, USA; 2Systems Biology Group, Flatiron Institute, New York, New York 10010, USA; 3Section of Pediatric Dentistry, UCLA School of Dentistry, Los Angeles, California 90095-1668, USA; 4Center for Microbiome Innovation, University of California at San Diego, La Jolla, California 92161, USA; 5Department of Pediatrics, University of California at San Diego, La Jolla, California 92161, USA; 6Department of Computer Science and Engineering, University of California at San Diego, La Jolla, California 92093, USA; 7Department of Bioengineering, University of California at San Diego, La Jolla, California 92093, USA Dental caries, the most common chronic infectious disease worldwide, has a complex etiology involving the interplay of microbial and host factors that are not completely understood. In this study, the oral microbiome and 38 host cytokines and chemokines were analyzed across 23 children with caries and 24 children with healthy dentition. De novo assembly of metagenomic sequencing obtained 527 metagenome-assembled genomes (MAGs), representing 150 bacterial species. Forty-two of these species had no genomes in public repositories, thereby representing novel taxa. These new genomes greatly expanded the known pangenomes of many oral clades, including the enigmatic Saccharibacteria clades G3 and G6, which had distinct functional repertoires compared to other oral Saccharibacteria. -
Biosynthetic Capacity, Metabolic Variety and Unusual Biology in the CPR and DPANN Radiations Cindy J
Biosynthetic capacity, metabolic variety and unusual biology in the CPR and DPANN radiations Cindy J. Castelle 1,2, Christopher T. Brown 1, Karthik Anantharaman 1,5, Alexander J. Probst 1,6, Raven H. Huang3 and Jillian F. Banfield 1,2,4* 1Department of Earth and Planetary Science, University of California, Berkeley, CA, USA. 2Chan Zuckerberg Biohub, San Francisco, CA, USA. 3Department of Biochemistry, University of Illinois, Urbana-Champaign, IL, USA. 4Department of Environmental Science, Policy, and Management, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. 5Department of Bacteriology, University of WisconsinMadison, Madison, WI, USA. 6Department of Chemistry, Biofilm Center, Group for Aquatic Microbial Ecology, University of Duisburg-Essen, Essen, Germany. *e-mail: [email protected] Abstract Candidate phyla radiation (CPR) bacteria and DPANN (an acronym of the names of the first included phyla) archaea are massive radiations of organisms that are widely distributed across Earth’s environments, yet we know little about them. Initial indications are that they are consistently distinct from essentially all other bacteria and archaea owing to their small cell and genome sizes, limited metabolic capacities and often episymbiotic associations with other bacteria and archaea. In this Analysis, we investigate their biology and variations in metabolic capacities by analysis of approximately 1,000 genomes reconstructed from several metagenomics-based studies. We find that they are not monolithic in terms of metabolism but rather harbour a diversity of capacities consistent with a range of lifestyles and degrees of dependence on other organisms. Notably, however, certain CPR and DPANN groups seem to have exceedingly minimal biosynthetic capacities, whereas others could potentially be free living. -
Evidence of Independent Acquisition and Adaption of Ultra-Small Bacteria to Human Hosts Across the Highly Diverse Yet Reduced Genomes of the Phylum Saccharibacteria
bioRxiv preprint doi: https://doi.org/10.1101/258137; this version posted February 2, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Evidence of independent acquisition and adaption of ultra-small bacteria to human hosts across the highly diverse yet reduced genomes of the phylum Saccharibacteria Jeffrey S. McLeana,b,1 , Batbileg Borc#, Thao T. Toa#, Quanhui Liua, Kristopher A. Kernsa, Lindsey Soldend, Kelly Wrightond, Xuesong Hec, Wenyuan Shic a Department of Periodontics, University of Washington, Seattle, WA, 98195, USA b Department of Microbiology, University of Washington, Seattle, WA, 98195, USA c Department of Microbiology, The Forsyth Institute, Cambridge, Massachusetts 02142 dDepartment of Microbiology, The Ohio State University, Columbus, OH, USA Short title: Host Adaptation of the Saccharibacteria Phylum Keywords: TM7, Saccharibacteria, Candidate Phyla Radiation, epibiont, oral microbiome, # These authors contributed equally to this work. 1To whom correspondence should be addressed. Email: [email protected] Author contribution: JSM, XH, BB and WS conceived the study and designed experiments. XH, JSM, BB, TT, KK, LS, KW, QL conducted experiments. All authors listed analyzed the data. JSM, XH, BB wrote the paper with input from all other authors. All authors have read and approved the manuscript. This research was funded by NIH NIGMS R01GM095373 (J.S.M.), NIH NIDCR Awards 1R01DE023810 (W.S., X.H., and J.M.), 1R01DE020102 (W.S., X.H., and J.S.M.), F32DE025548-01 (B.B.), T90DE021984 (T.T.) 1R01DE026186 (W.S., X.H., and J.S.M.). -
With Inferred Horizontal Gene Transfers and Co-Occurrence Networks
RESEARCH ARTICLE Deciphering Symbiotic Interactions of “Candidatus Aenigmarchaeota” with Inferred Horizontal Gene Transfers and Co-occurrence Networks Yu-Xian Li,a Yang-Zhi Rao,a Yan-Ling Qi,a Yan-Ni Qu,a Ya-Ting Chen,a Jian-Yu Jiao,a Wen-Sheng Shu,b Hongchen Jiang,c Brian P. Hedlund,d,e Zheng-Shuang Hua,f Wen-Jun Lia,g aState Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, People’s Republic of China bSchool of Life Sciences, South China Normal University, Guangzhou, People’s Republic of China cState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, People’s Republic of China dSchool of Life Sciences, University of Nevada Las Vegas, Las Vegas, Nevada, USA eNevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, Nevada, USA fDepartment of Environmental Science and Engineering, University of Science and Technology of China, Hefei, People’s Republic of China gState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, People’s Republic of China Yu-Xian Li and Yang-Zhi Rao contributed equally to this work. Author order was determined based on alphabetical order of authors’ last names. ABSTRACT “Candidatus Aenigmarchaeota” (“Ca. Aenigmarchaeota”) represents one of the earliest proposed evolutionary branches within the Diapherotrites, Parvarchaeota, Aenigmarchaeota, Nanoarchaeota, and Nanohaloarchaeota (DPANN) superphylum. However, their ecological roles and potential host-symbiont interac- tions are still poorly understood. Here, eight metagenome-assembled genomes (MAGs) were reconstructed from hot spring ecosystems, and further in-depth com- parative and evolutionary genomic analyses were conducted on these MAGs and other genomes downloaded from public databases. -
The Distribution and Evolution of Small Non-Coding Rnas in Archaea in Light of New Archaeal Phyla
THE DISTRIBUTION AND EVOLUTION OF SMALL NON-CODING RNAS IN ARCHAEA IN LIGHT OF NEW ARCHAEAL PHYLA A thesis submitted in partial fulfilment of the requirements for the Degree of Master of Science in Biological Sciences at the University of Canterbury by Laura A.A. Grundy University of Canterbury 2016 Table of Contents Table of Contents...................................................................................................... 2 Acknowledgements ................................................................................................... 4 Abstract..................................................................................................................... 5 Chapter One - Introduction ..................................................................................... 6 Overview ............................................................................................................... 6 The Archaeal Domain of Life ................................................................................. 6 Metagenomics and the Availability of Genomic Data ......................................... 6 The History of Archaeal Taxa ............................................................................ 7 Archaeal Similarities to the Bacteria and Eukaryotes......................................... 9 Small Non-Coding RNA....................................................................................... 10 RNA................................................................................................................ -
Genomic Diversity, Lifestyles and Evolutionary Origins of DPANN Archaea Nina Dombrowski1,2, Jun-Hoe Lee3, Tom A
FEMS Microbiology Letters, 366, 2019, fnz008 doi: 10.1093/femsle/fnz008 Advance Access Publication Date: 9 January 2019 Minireview M I N I REV I EW – Incubator Genomic diversity, lifestyles and evolutionary origins of DPANN archaea Nina Dombrowski1,2, Jun-Hoe Lee3, Tom A. Williams4, Pierre Offre1 andAnjaSpang1,3,∗ 1NIOZ, Royal Netherlands Institute for Sea Research, Department of Marine Microbiology and Biogeochemistry, and Utrecht University, P.O. Box 59, NL-1790 AB Den Burg, The Netherlands, 2Department of Marine Science, University of Texas at Austin, Marine Science Institute, 750 Channel View Drive, Port Aransas, TX 78373, USA, 3Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, P.O. Box 596, Husargatan 3, SE-75123 Uppsala, Sweden and 4School of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol, Bristol BS8 1TQ, UK ∗Corresponding author: NIOZ, Royal Netherlands Institute for Sea Research, Department of Marine Microbiology and Biogeochemistry, and Utrecht University, P.O. Box 59, Landsdiep 4, NL-1790 AB Den Burg, The Netherlands. Tel: +31 (0)222 369 526; E-mail: [email protected] One sentence summary: We review current knowledge on the diversity and genomic potential of the only recently discovered enigmatic and potentially symbiotic DPANN archaea, discuss insights gained from functional studies of host–symbiont systems involving DPANN archaea as well as summarize controversies regarding the placement of the various DPANN lineages in the tree of life and thus the role of this putative radiation in the early evolution of life on Earth. Editor: Daniel Tamarit ABSTRACT Archaea—a primary domain of life besides Bacteria—have for a long time been regarded as peculiar organisms that play marginal roles in biogeochemical cycles. -
Downloaded from the Integrated Microbial Genomes and Microbiomes Database (IMG/M) (Chen Et Al., 2019C) and Refined (See Methods) and a MAG from Marcy Et Al
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.29.069278; this version posted April 30, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Functional and genetic markers of niche partitioning among enigmatic members of the human oral microbiome Alon Shaiber1,2, Amy D. Willis3, Tom O. Delmont4, Simon Roux5, Lin-Xing Chen6, Abigail 5 C. Schmid7, Mahmoud Yousef8, Andrea R. Watson1,9, Karen Lolans1, Özcan C. Esen1, Sonny T. M. Lee10, Nora Downey11, Hilary G. Morrison11, Floyd E. Dewhirst12,13, Jessica L. Mark Welch11,*, A. Murat Eren1,2,9,11,* 1Department of Medicine, University of Chicago, Chicago, IL 60637, USA; 2Graduate Program in Biophysical Sciences, University of Chicago, Chicago, IL 60637, USA; 3Department of Biostatistics, 10 University of Washington, Seattle WA 98195, USA; 4Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 91057 Evry, France; 5Department of Energy Joint Genome Institute, Berkeley CA 94720, USA; 6Department of Earth and Planetary Sciences, University of California, Berkeley, CA 94720, USA; 7Undergraduate Student, Computational and Applied Mathematics, University of Chicago, Chicago, IL 60637, USA; 15 8Undergraduate Student, Computer Science, University of Chicago, Chicago, IL 60637, USA; 9Committee on Microbiology, University of Chicago, Chicago, IL 60637, USA; 10