Earth Biogenome Project: Sequencing Life for the Future of Life PERSPECTIVE Harris A
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Specificity of Genome Evolution in Experimental Populations Of
Specificity of genome evolution in experimental PNAS PLUS populations of Escherichia coli evolved at different temperatures Daniel E. Deatheragea,b,c,d, Jamie L. Kepnera,b,c,d, Albert F. Bennette, Richard E. Lenskif,g,1, and Jeffrey E. Barricka,b,c,d,f,1 aCenter for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX 78712; bCenter for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX 78712; cInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX 78712; dDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712; eDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697; fBEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824; and gDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824 Edited by Neil H. Shubin, The University of Chicago, Chicago, IL, and approved January 25, 2017 (received for review September 27, 2016) Isolated populations derived from a common ancestor are expected to produce only in environments within a restricted thermal range. diverge genetically and phenotypically as they adapt to different local Adaptation for improved thermotolerance has important impli- environments. To examine this process, 30 populations of Escherichia cations for plant growth (5) and crop productivity (6), especially coli were evolved for 2,000 generations, with six in each of five dif- in light of climate change (7). Directed evolution of microor- ferent thermal regimes: constant 20 °C, 32 °C, 37 °C, 42 °C, and daily ganisms, such as yeast, to function effectively at higher or lower alternations between 32 °C and 42 °C. -
Terabase Metagenomics Workshop and the Vision of an Earth Microbiome Project
Standards in Genomic Sciences (2010) 3:243-248 DOI:10.4056/sigs.1433550 Meeting Report: The Terabase Metagenomics Workshop and the Vision of an Earth Microbiome Project Jack A. Gilbert1,2, Folker Meyer1, Dion Antonopoulos1, Pavan Balaji1, C. Titus Brown3, Christopher T. Brown4, Narayan Desai1, Jonathan A Eisen5,6, Dirk Evers7, Dawn Field8, Wu Feng9,10, Daniel Huson11, Janet Jansson12, Rob Knight13, James Knight14, Eugene Kolker15, Kostas Konstantindis16, Joel Kostka17, Nikos Kyrpides6, Rachel Mackelprang6, Alice McHardy18,19, Christopher Quince20, Jeroen Raes21,Alexander Sczyrba6, Ashley Shade22, and Rick Stevens1. 1Argonne National Laboratory, Argonne, IL USA 2 Department of Ecology and Evolution, University of Chicago, Chicago, USA 3 College of Engineering, Michigan State University, East Lansing, MI, USA 4 Department of Microbiology and Cell Science, University of Florida, Gainesville, FL, USA 5 Department of Evolution and Ecology, University of California, Davis, USA 6 DOE Joint Genome Institute, Walnut Creek, CA USA 7 Illumina, Saffron Walden, UK 8 NERC Centre for Ecology and Hydrology, Oxfordshire,U.K. 9 Department of Computer Science and Department of Electrical & Computer Engineering, Virginia Tech, Blacksburg, VA USA 10 Department of Cancer Biology and Translational Science Institute, Wake Forest University Winston-Salem, USA 11 Center for Bioinformatics ZBIT, Tübingen University,Tübingen, Germany, 12 Lawrence Berkeley National Laboratory, Earth Sciences Division Berkeley, CA USA 13 Department of Chemistry and Biochemistry, Boulder, -
Identification of Evolutionarily Conserved Md1 Splice Variants
Identification of Evolutionarily Conserved Md1 Splice Variants That Regulate Innate Immunity through Differential Induction of NF-?B This information is current as of September 26, 2021. Sergio Candel, Sylwia D. Tyrkalska, Diana García-Moreno, José Meseguer and Victoriano Mulero J Immunol 2016; 197:1379-1388; Prepublished online 11 July 2016; doi: 10.4049/jimmunol.1502052 Downloaded from http://www.jimmunol.org/content/197/4/1379 Supplementary http://www.jimmunol.org/content/suppl/2016/07/11/jimmunol.150205 http://www.jimmunol.org/ Material 2.DCSupplemental References This article cites 67 articles, 24 of which you can access for free at: http://www.jimmunol.org/content/197/4/1379.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 26, 2021 • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Identification of Evolutionarily Conserved Md1 Splice Variants That Regulate Innate Immunity through Differential Induction of NF-кB Sergio Candel,1 Sylwia D. -
2021 International Conference on Intelligent Biology and Medicine (ICIBM 2021)
2021 International Conference on Intelligent Biology and Medicine (ICIBM 2021) August 08-10, 2021 Virtual via Zoom Hosted by: The International Association for Intelligent Biology and Medicine (IAIBM), Temple University, The Perelman School of Medicine, University of Pennsylvania, and The University of Texas Health Science Center at Houston 1 TABLE OF CONTENTS Welcome .……………………………….…………………………... 4 Acknowledgments ……………………………….…………………. 5 Schedule ……………………………….………………………….... 9 Keynote speakers’ information ……………………………….….. 24 Eminent Scholar Talks ………….……………………………….. 32 Workshop and tutorial information …………………………… 40 Session information ……………………………….……………… 46 Poster session abstracts ……………………………….…………… 107 About IAIBM ……………………………………………….……. 136 Special Acknowledgements……...……………….………………… 137 2 Sponsorships……………………………………………………… 138 3 Welcome to ICIBM 2021! On behalf of all our conference committees and organizers, we welcome you to the 2021 International Conference on Intelligent Biology and Medicine (ICIBM 2021), co-hosted by The International Association for Intelligent Biology and Medicine (IAIBM), Temple University, and the Perelman School of Medicine at the University of Pennsylvania. Given the rapid innovations in the fields of bioinformatics, systems biology, and intelligent computing and their importance to scientific research and medical advancements, we are pleased to once again provide a forum that fosters interdisciplinary discussions, educational opportunities, and collaborative efforts among these ever growing and progressing fields. We are proud to have built on the successes of previous years’ conferences to take ICIBM 2021 to the next level. This year, our keynote speakers include Drs. James S. Duncan, Chunhua Weng, Ben Raphael, and Ying Xu. We also have four eminent scholar speakers from Drs. Yue Feng, Graciela Gonzalez-Hernandez, Kai Tan, and Wei Chen. These researchers are world-renowned experts in their respective fields, and we are privileged to host their talks at ICIBM 2021. -
Comparative Genome Evolution Working Group
Comparative Genome Evolution Working Group COMPARATIVE GENOME EVOLUTION MODIFIED PROPOSAL Introduction Analysis of comparative genomic sequence information from a well-chosen set of organisms is, at present, one of the most effective approaches available to advance biomedical research. The following document describes rationales and plans for selecting targets for genome sequencing that will provide insight into a number of major biological questions that broadly underlie major areas of research funded by the National Institutes of Health, including studies of gene regulation, understanding animal development, and understanding gene and protein function. Genomic sequence data is a fundamental information resource that is required to address important questions about biology: What is the genomic basis for the advent of major morphogenetic or physiological innovations during evolution? How have genomes changed with the addition of new features observed in the eukaryotic lineage, for example the development of an adaptive immune system, an organized nervous system, bilateral symmetry, or multicellularity? What are the genomic correlates or bases for major evolutionary phenomena such as evolutionary rates; speciation; genome reorganization, and origins of variation? Another vital use to which genomic sequence data are applied is the development of more robust information about important non-human model systems used in biomedical research, i.e. how can we identify conserved functional regions in the existing genome sequences of important non- mammalian model systems, so that we can better understand fundamental aspects of, for example, gene regulation, replication, or interactions between genes? NHGRI established a working group to provide the Institute with well-considered scientific thought about the genomic sequences that would most effectively address these questions. -
Section 4. Guidance Document on Horizontal Gene Transfer Between Bacteria
306 - PART 2. DOCUMENTS ON MICRO-ORGANISMS Section 4. Guidance document on horizontal gene transfer between bacteria 1. Introduction Horizontal gene transfer (HGT) 1 refers to the stable transfer of genetic material from one organism to another without reproduction. The significance of horizontal gene transfer was first recognised when evidence was found for ‘infectious heredity’ of multiple antibiotic resistance to pathogens (Watanabe, 1963). The assumed importance of HGT has changed several times (Doolittle et al., 2003) but there is general agreement now that HGT is a major, if not the dominant, force in bacterial evolution. Massive gene exchanges in completely sequenced genomes were discovered by deviant composition, anomalous phylogenetic distribution, great similarity of genes from distantly related species, and incongruent phylogenetic trees (Ochman et al., 2000; Koonin et al., 2001; Jain et al., 2002; Doolittle et al., 2003; Kurland et al., 2003; Philippe and Douady, 2003). There is also much evidence now for HGT by mobile genetic elements (MGEs) being an ongoing process that plays a primary role in the ecological adaptation of prokaryotes. Well documented is the example of the dissemination of antibiotic resistance genes by HGT that allowed bacterial populations to rapidly adapt to a strong selective pressure by agronomically and medically used antibiotics (Tschäpe, 1994; Witte, 1998; Mazel and Davies, 1999). MGEs shape bacterial genomes, promote intra-species variability and distribute genes between distantly related bacterial genera. Horizontal gene transfer (HGT) between bacteria is driven by three major processes: transformation (the uptake of free DNA), transduction (gene transfer mediated by bacteriophages) and conjugation (gene transfer by means of plasmids or conjugative and integrated elements). -
Genome Evolution: Mutation Is the Main Driver of Genome Size in Prokaryotes Gabriel A.B
Genome Evolution: Mutation Is the Main Driver of Genome Size in Prokaryotes Gabriel A.B. Marais, Bérénice Batut, Vincent Daubin To cite this version: Gabriel A.B. Marais, Bérénice Batut, Vincent Daubin. Genome Evolution: Mutation Is the Main Driver of Genome Size in Prokaryotes. Current Biology - CB, Elsevier, 2020, 30 (19), pp.R1083- R1085. 10.1016/j.cub.2020.07.093. hal-03066151 HAL Id: hal-03066151 https://hal.archives-ouvertes.fr/hal-03066151 Submitted on 15 Dec 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. DISPATCH Genome Evolution: Mutation is the Main Driver of Genome Size in Prokaryotes Gabriel A.B. Marais1, Bérénice Batut2, and Vincent Daubin1 1Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR 5558, F- 69622 Villeurbanne, France 2Albert-Ludwigs-University Freiburg, Department of Computer Science, 79110 Freiburg, Germany Summary Despite intense research on genome architecture since the 2000’s, genome-size evolution in prokaryotes has remained puzzling. Using a phylogenetic approach, a new study found that increased mutation rate is associated with gene loss and reduced genome size in prokaryotes. In 2003 [1] and later in 2007 in his book “The Origins of Genome Architecture” [2], Lynch developed his influential theory that a genome’s complexity, represented by its size, is primarily the result of genetic drift. -
Next Generation Exome Sequencing of Paediatric Inflammatory Bowel
Inflammatory bowel disease ORIGINAL ARTICLE Next generation exome sequencing of paediatric Gut: first published as 10.1136/gutjnl-2011-301833 on 28 April 2012. Downloaded from inflammatory bowel disease patients identifies rare and novel variants in candidate genes Katja Christodoulou,1 Anthony E Wiskin,2 Jane Gibson,1 William Tapper,1 Claire Willis,2 Nadeem A Afzal,3 Rosanna Upstill-Goddard,1 John W Holloway,4 Michael A Simpson,5 R Mark Beattie,3 Andrew Collins,1 Sarah Ennis1 < Additional materials are ABSTRACT published online only. To view Background Multiple genes have been implicated by Significance of this study these files please visit the association studies in altering inflammatory bowel journal online (http://dx.doi.org/ 10.1136/gutjnl-2011-301833). disease (IBD) predisposition. Paediatric patients often What is already known on this subject? manifest more extensive disease and a particularly < For numbered affiliations see Genome-wide association studies have impli- end of article. severe disease course. It is likely that genetic cated numerous candidate genes for inflamma- predisposition plays a more substantial role in this group. tory bowel disease (IBD), but evidence of Correspondence to Objective To identify the spectrum of rare and novel causality for specific variants is largely absent. Dr Sarah Ennis, Genetic variation in known IBD susceptibility genes using exome Furthermore, by design, genome-wide associa- Epidemiology and Genomic sequencing analysis in eight individual cases of childhood Informatics Group, Human tion studies are limited to the study of Genetics, Faculty of Medicine, onset severe disease. common variants and overlook the functionally University of Southampton, Design DNA samples from the eight patients underwent detrimental variation imposed by rare/novel Duthie Building (Mailpoint 808), targeted exome capture and sequencing. -
16S Sequencing Method Guide Taxonomic Profiling of Bacterial Communities and Microbiomes Through Next-Generation Sequencing
16S Sequencing Method Guide Taxonomic profiling of bacterial communities and microbiomes through next-generation sequencing. For Research Use Only. Not for use in diagnostic procedures. Introduction In microbiology, the 16S ribosomal RNA (16S rRNA) gene is a single genetic locus that can be used to assess the diversity of bacteria within a sample for phylogenetic and taxonomic studies. The 16S rRNA gene is approximately 1500 bp long and contains nine variable regions interspersed between conserved regions. The 16S locus acts like a ‘barcode’ for differentiating microbial taxa and can be used to classify bacteria taxonomically from within a heterogenous community to assess the diversity within a population and compare relative abundance across similar samples. Using amplicon-based next-generation sequencing (NGS), researchers have been able to compile comprehensive databases for comparing sequences throughout an ecosystem, including complex environments such as the human gut microbiome.1,2 Microbiome research is an emerging field that’s expanding quickly. New discoveries are being made every day linking “ the microbiome and human disease, and how our diet and lifestyles might influence the microbiome. For these discoveries, you need advanced sequencing technology and bioinformatics tools to analyze the data. Thanks to technology developments like next-generation sequencing (NGS) systems such as the MiSeqTM System, we can now assess the diversity of microbes that live in and on our bodies faster and less expensively. That was not possible until a few years ago.” — Toni Gabaldón, PhD, Centre for Genomic Regulation (CRG) in Barcelona, Spain3 For Research Use Only. Not for use in diagnostic procedures. 2 Using amplicon-based NGS for 16S rRNA sequencing versus traditional methods Amplicon sequencing is a highly targeted approach that enables researchers to analyze genetic variation in specific genomic regions. -
Genomes and Their Evolution
CAMPBELL BIOLOGY IN FOCUS URRY • CAIN • WASSERMAN • MINORSKY • REECE 18 Genomes and Their Evolution Lecture Presentations by Kathleen Fitzpatrick and Nicole Tunbridge, Simon Fraser University © 2016 Pearson Education, Inc. SECOND EDITION Overview: Reading Leaves from the Tree of Life . Complete genome sequences exist for a human, chimpanzee, E. coli, and numerous other prokaryotes, as well as corn, fruit fly, house mouse, orangutan, and others . Comparisons of genomes among organisms provide information about the evolutionary history of genes and taxonomic groups © 2016 Pearson Education, Inc. Genomics is the study of whole sets of genes and their interactions . Bioinformatics is the application of computational methods to the storage and analysis of biological data © 2016 Pearson Education, Inc. Figure 18.1 © 2016 Pearson Education, Inc. Concept 18.1: The Human Genome Project fostered development of faster, less expensive sequencing techniques . The Human Genome Project officially began in 1990, and the sequencing was largely completed by 2003 . Even with automation, the sequencing of all 3 billion base pairs in a haploid set presented a formidable challenge . A major thrust of the Human Genome Project was the development of technology for faster sequencing © 2016 Pearson Education, Inc. The whole-genome shotgun approach was developed by J. Craig Venter and colleagues . This approach starts with cloning and sequencing random DNA fragments . Powerful computer programs are used to assemble the resulting short overlapping sequences into a single continuous sequence © 2016 Pearson Education, Inc. Figure 18.2-s1 Cut the DNA into overlapping fragments short enough for sequencing. Clone the fragments in plasmid or other vectors. © 2016 Pearson Education, Inc. -
Back to the Future of Soil Metagenomics
Back to the Future of Soil Metagenomics Joseph Nesme, Wafa Achouak, Spiros Agathos, Mark Bailey, Petr Baldrian, Dominique Brunel, Asa Frostegard, Thierry Heulin, Janet K. Jansson, Kristiina Kruus, et al. To cite this version: Joseph Nesme, Wafa Achouak, Spiros Agathos, Mark Bailey, Petr Baldrian, et al.. Back to the Future of Soil Metagenomics. Frontiers in Microbiology, Frontiers Media, 2016, 7, 10.3389/fmicb.2016.00073. hal-01923285 HAL Id: hal-01923285 https://hal.archives-ouvertes.fr/hal-01923285 Submitted on 9 Dec 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License OPINION published: 10 February 2016 doi: 10.3389/fmicb.2016.00073 Back to the Future of Soil Metagenomics Joseph Nesme 1, 2, Wafa Achouak 3, Spiros N. Agathos 4, 5, Mark Bailey 6, Petr Baldrian 7, Dominique Brunel 8, Åsa Frostegård 9, Thierry Heulin 3, Janet K. Jansson 10, Edouard Jurkevitch 11, Kristiina L. Kruus 12, George A. Kowalchuk 13, Antonio Lagares 14, Hilary M. Lappin-Scott 15, Philippe Lemanceau 16, Denis Le Paslier 17, Ines Mandic-Mulec 18, J. Colin Murrell 19, David D. -
Abstracts for the ??Evolutionary Medicine Conference
Ashdin Publishing Journal of Evolutionary Medicine ASHDIN Vol. 3 (2015), Article ID 235924, 45 pages publishing doi:10.4303/jem/235924 Abstracts CONFERENCE PROCEEDINGS Abstracts for the “Evolutionary Medicine Conference: Interdisciplinary Perspectives on Human Health and Disease” at the University of Zurich, Switzerland (July 30–August 1, 2015) Kaspar Staub,1 Nicole Bender,2 Paul Ewald,3 and Frank Ruhli¨ 1 1Institute of Evolutionary Medicine, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland 2Institute of Social and Preventive Medicine, University of Bern, Finkenhubelweg 11, CH-3012 Bern, Switzerland 3Department of Biology, University of Louisville, Louisville, KY 40292, USA Address correspondence to Frank Ruhli,¨ [email protected] Received 17 Aril 2015; Revised 11 May 2015; Accepted 14 May 2015 Copyright © 2015 Kaspar Staub et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Summary In summer 2015, the “Evolutionary Medicine Conference diseases. The discipline is now at a turning point at which a 2015: Interdisciplinary Perspectives on Human Health and Disease” rigorous application of evolutionary insights to the medical takes place at the Institute of Evolutionary Medicine, University of sciences will require not only assessing the validity of the Zurich, Switzerland. This international conference is the first of its kind in Europe and brings together eight distinguished keynote speak- full spectrum of possible explanations for each disease ers from all over the world as well as experts from different disci- but the interplay of different contributors to illness within plines (including medicine, anthropology, molecular/evolutionary biol- and between the three broad categories of causal factors: ogy, paleopathology, archeology, history, psychology, epidemiology, genetic, infectious, and environmental.