Quorum Sensing
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Inter Scientific Inquiry • Nature • Technology • Evolution • Research
Inter Scientific InquIry • nature • technology • evolutIon • research vol. 5 - august 2018 INTER SCIENTIFIC CONTENIDO CONTENTS MENSAJE DEL RECTOR/ MESSAGE FROM THE CHANCELLOR………………………………………………………..1 MENSAJE DE LA DECANA DE ASUNTOS ACADÉMICOS/ MESSAGE FROM THE DEAN OF ACADEMIC AFFAIRS………………………………………………………………………………………………1 DESDE EL ESCRITORIO DE LA EDITORA/ FROM THE EDITOR’S DESK…………………………………………....2 INVESTIGACIÓN/ RESEARCH ARTICLES………………………………………………………………………….....3-19 Host plant preference of Danaus plexippus larvae in the subtropical dry forest in Guánica, Puerto Rico………………………………………………………………………………………………......…3 Preferencia de plantas hospederas por parte de las larvas de Danaus plexippus en el bosque seco de Guánica, Puerto Rico López, Laysa, Santiago, Jonathan, and Puente-Rolón, Alberto Predatory behavior and prey preference of Leucauge sp. in Mayaguez, Puerto Rico……….…...7 Comportamiento de depredación y preferencia de presa de arañas del género Leucauge en Mayaguez, Puerto Rico Geli-Cruz, Orlando, Ramos-Maldonado, Frank, and Puente-Rolón, Alberto Construction and screening of soil metagenomic libraries: identification of hydrolytic metabolic activity………………………………………………………………………..……..…………....13 Construcción y prueba de bibliotecas metagenómicas de suelo: identificación de actividad metabólica hidrolítica Jiménez-Serrano, Edgar, Justiniano-Santiago, Jeydien, Reyes, Yazmin, Rosa-Matos, Raquel, Vélez- Cardona, Wilmarie, Huertas-Meléndez, Stephanie and Pagán-Jiménez, María LA INVESTIGACIÓN EN EL CAMPUS/ RESEARCH ON CAMPUS ……………………………………………………20 -
Pulse Generation in the Quorum Machinery of Pseudomonas Aeruginosa
This is a repository copy of Pulse generation in the quorum machinery of Pseudomonas aeruginosa. White Rose Research Online URL for this paper: https://eprints.whiterose.ac.uk/116745/ Version: Published Version Article: Alfiniyah, Cicik Alfiniyah, Bees, Martin Alan and Wood, Andrew James orcid.org/0000- 0002-6119-852X (2017) Pulse generation in the quorum machinery of Pseudomonas aeruginosa. Bulletin of Mathematical Biology. pp. 1360-1389. ISSN 1522-9602 https://doi.org/10.1007/s11538-017-0288-z Reuse This article is distributed under the terms of the Creative Commons Attribution (CC BY) licence. This licence allows you to distribute, remix, tweak, and build upon the work, even commercially, as long as you credit the authors for the original work. More information and the full terms of the licence here: https://creativecommons.org/licenses/ Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ Bull Math Biol (2017) 79:1360–1389 DOI 10.1007/s11538-017-0288-z ORIGINAL ARTICLE Pulse Generation in the Quorum Machinery of Pseudomonas aeruginosa Cicik Alfiniyah1,2 · Martin A. Bees1 · A. Jamie Wood1,3 Received: 28 September 2016 / Accepted: 3 May 2017 / Published online: 19 May 2017 © The Author(s) 2017. This article is an open access publication Abstract Pseudomonas aeruginosa is a Gram-negative bacterium that is responsible for a wide range of infections in humans. -
Major Evolutionary Transitions in Individuality COLLOQUIUM
PAPER Major evolutionary transitions in individuality COLLOQUIUM Stuart A. Westa,b,1, Roberta M. Fishera, Andy Gardnerc, and E. Toby Kiersd aDepartment of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom; bMagdalen College, Oxford OX1 4AU, United Kingdom; cSchool of Biology, University of St. Andrews, Dyers Brae, St. Andrews KY16 9TH, United Kingdom; and dInstitute of Ecological Sciences, Faculty of Earth and Life Sciences, Vrije Universiteit, 1081 HV, Amsterdam, The Netherlands Edited by John P. McCutcheon, University of Montana, Missoula, MT, and accepted by the Editorial Board March 13, 2015 (received for review December 7, 2014) The evolution of life on earth has been driven by a small number broken down into six questions. We explore what is already known of major evolutionary transitions. These transitions have been about the factors facilitating transitions, examining the extent to characterized by individuals that could previously replicate inde- which we can generalize across the different transitions. Ultimately, pendently, cooperating to form a new, more complex life form. we are interested in the underlying evolutionary and ecological For example, archaea and eubacteria formed eukaryotic cells, and factors that drive major transitions. cells formed multicellular organisms. However, not all cooperative Defining Major Transitions groups are en route to major transitions. How can we explain why major evolutionary transitions have or haven’t taken place on dif- A major evolutionary transition has been most broadly defined as a change in the way that heritable information is stored and ferent branches of the tree of life? We break down major transi- transmitted (2). We focus on the major transitions that lead to a tions into two steps: the formation of a cooperative group and the new form of individual (Table 1), where the same problems arise, transformation of that group into an integrated entity. -
Animal Biosafety Level
Biological Safety Manual Prepared by: Environmental Health and Safety Office April 2012 Table of Contents Table of Contents .................................................................................................................... ii Tables and Figures ................................................................................................................. vii Acronyms ........................................................................................................................... viii Foreword ............................................................................................................................... x Document History .................................................................................................................... x 1.0 Introduction ........................................................................................................ 1-1 1.1 Biological Material ............................................................................................. 1-1 1.1.1 Biohazardous Material ........................................................................................ 1-1 1.1.2 Nonbiohazardous Material .................................................................................. 1-2 1.2 Regulations, Guidelines, and Permit Requirements ............................................. 1-2 1.3 Roles and Responsibilities ................................................................................... 1-4 1.3.1 Vice President for Research and Economic Development -
A Model of Symmetry Breaking in Collective Decision-Making
A Model of Symmetry Breaking in Collective Decision-Making Heiko Hamann1, Bernd Meyer2, Thomas Schmickl1, and Karl Crailsheim1 1 Artificial Life Lab of the Dep. of Zoology, Karl-Franzens University Graz, Austria {heiko.hamann, thomas.schmickl, karl.crailsheim}@uni-graz.at 2 FIT Centre for Research in Intelligent Systems, Monash University, Melbourne [email protected] Abstract. Symmetry breaking is commonly found in self-organized col- lective decision making. It serves an important functional role, specifi- cally in biological and bio-inspired systems. The analysis of symmetry breaking is thus an important key to understanding self-organized deci- sion making. However, in many systems of practical importance avail- able analytic methods cannot be applied due to the complexity of the scenario and consequentially the model. This applies specifically to self- organization in bio-inspired engineering. We propose a new modeling approach which allows us to formally analyze important properties of such processes. The core idea of our approach is to infer a compact model based on stochastic processes for a one-dimensional symmetry parameter. This enables us to analyze the fundamental properties of even complex collective decision making processes via Fokker–Planck theory. We are able to quantitatively address the effectiveness of symmetry breaking, the stability, the time taken to reach a consensus, and other parameters. This is demonstrated with two examples from swarm robotics. 1 Introduction Self-organization is one of the fundamental mechanism used in nature to achieve flexible and adaptive behavior in unpredictable environments [1]. Particularly collective decision making in social groups is often driven by self-organizing pro- cesses. -
Medical Aspects of Biological Warfare
Epidemiology of Biowarfare and Bioterrorism Chapter 2 EPIDEMIOLOGY OF BIOWARFARE AND BIOTERRORISM ZYGMUNT F. DEMBEK, PhD, MS, MPH, LHD*; JULIE A. PAVLIN, MD, PhD, MPH†; MARTINA SIWEK, PhD‡; and MARK G. KORTEPETER, MD, MPH§ INTRODUCTION THE EPIDEMIOLOGY OF EPIDEMICS Definition Recognition Potential Epidemiological Clues to an Unnatural Event Outbreak Investigation EPIDEMIOLOGICAL CASE STUDIES Bioterrorism Events Accidental Release of Biological Agents Studies of Natural Outbreaks for Potential Bioweapon Use EPIDEMIOLOGICAL ASSESSMENT TOOL IMPROVING RECOGNITION AND SURVEILLANCE OF BIOTERRORISM POTENTIAL IMPACT OF ADVANCED MOLECULAR TECHNIQUES ON THE EPIDEMIOLOGY OF BIOWARFARE AND BIOTERRORISM SUMMARY *Colonel (Retired), Medical Service Corps, US Army Reserve; Associate Professor, Department of Military and Emergency Medicine, Uniformed Ser- vices University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, Maryland 20814; formerly, Chief, Biodefense Epidemiology and Education & Training Programs, Division of Medicine, US Army Medical Research Institute of Infectious Diseases, 1425 Porter Street, Fort Detrick, Maryland †Colonel (Retired), Medical Corps, US Army; Deputy Director, Armed Forces Health Surveillance Center, 11800 Tech Road, Silver Spring, Maryland 20904 ‡Chief Scientist, Cherokee Nation Technology Solutions in Support of Global Emerging Infections Surveillance and Response System, Armed Forces Health Surveillance Center, 11800 Tech Road, Silver Spring, Maryland 20904; formerly, Science Manager/Liaison, Biosurveillance -
Quorum Sensing in Bacteria
17 Aug 2001 12:48 AR AR135-07.tex AR135-07.SGM ARv2(2001/05/10) P1: GDL Annu. Rev. Microbiol. 2001. 55:165–99 Copyright c 2001 by Annual Reviews. All rights reserved QUORUM SENSING IN BACTERIA Melissa B. Miller and Bonnie L. Bassler Department of Molecular Biology, Princeton University, Princeton, New Jersey 08544-1014; e-mail: [email protected], [email protected] Key Words autoinducer, homoserine lactone, two-component system, cell-cell communication, virulence ■ Abstract Quorum sensing is the regulation of gene expression in response to fluctuations in cell-population density. Quorum sensing bacteria produce and release chemical signal molecules called autoinducers that increase in concentration as a function of cell density. The detection of a minimal threshold stimulatory con- centration of an autoinducer leads to an alteration in gene expression. Gram-positive and Gram-negative bacteria use quorum sensing communication circuits to regulate a diverse array of physiological activities. These processes include symbiosis, virulence, competence, conjugation, antibiotic production, motility, sporulation, and biofilm for- mation. In general, Gram-negative bacteria use acylated homoserine lactones as au- toinducers, and Gram-positive bacteria use processed oligo-peptides to communicate. Recent advances in the field indicate that cell-cell communication via autoinducers occurs both within and between bacterial species. Furthermore, there is mounting data suggesting that bacterial autoinducers elicit specific responses from host organisms. Although the nature of the chemical signals, the signal relay mechanisms, and the target genes controlled by bacterial quorum sensing systems differ, in every case the ability to communicate with one another allows bacteria to coordinate the gene expression, and therefore the behavior, of the entire community. -
Senate Commerce Committee Republican Members: Democratic Members: Thune, John (SD), Chairman Nelson, Bill (FL), Ranking Member Wicker, Roger F
Senate Commerce Committee Republican Members: Democratic Members: Thune, John (SD), Chairman Nelson, Bill (FL), Ranking Member Wicker, Roger F. (MS) Cantwell, Maria (WA) Blunt, Roy (MO) Klobuchar, Amy (MN) Cruz, Ted (TX) Blumenthal, Richard (CT) Fischer, Deb (NE) Schatz, Brian (HI) Moran, Jerry (KS) Markey, Edward J. (MA) Sullivan, Dan (AK) Udall, Tom (NM) Heller, Dean (NV) Peters, Gary C. (MI) Inhofe, James M. (OK) Baldwin, Tammy (WI) Lee, Mike (UT) Duckworth, Tammy (IL) Johnson, Ron (WI) Hassan, Margaret Wood (NH) CaPito, Shelley Moore (WV) Cortez Masto, Catherine (NV) Gardner, Cory (CO) Tester, Jon (Montana) Young, Todd (IN) John Thune CHAIRMAN (56) R-SD elected 2004 United States Senate SD-511 Phone: (202) 224-2321 Director of Scheduling: [email protected] [email protected] Chief of Staff: Brendon Plack [email protected] Telecommunications Legislative Aide: [email protected] Health Legislative Correspondent: [email protected] Senior Policy Advisor Agriculture, Environment [email protected] Committees and Subcommittees: Senate Committee on Agriculture, Nutrition, and Forestry Senate Subcommittee on Commodities, Risk Management and Trade Senate Subcommittee on Livestock, Marketing and Agriculture Security Senate Subcommittee on Rural DeveloPment and Energy Bios Senate Commerce Committee – 115th Congress 1 Senate Committee on Commerce, Science, and Transportation Senate Subcommittee on Aviation OPerations, Safety, and Security Senate Subcommittee on Communications, -
A Biophysical Limit for Quorum Sensing in Biofilms
A biophysical limit for quorum sensing in biofilms Avaneesh V. Narlaa , David Bruce Borensteinb, and Ned S. Wingreenc,d,1 aDepartment of Physics, University of California San Diego, La Jolla, CA 92092; bPrivate address, Maplewood NJ, 07040; cDepartment of Molecular Biology, Princeton University, Princeton, NJ 08544; and dLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544 Edited by E. Peter Greenberg, University of Washington, Seattle, WA, and approved April 8, 2021 (received for review November 1, 2020) Bacteria grow on surfaces in complex immobile communities against chemicals and predators, and facilitating horizontal gene known as biofilms, which are composed of cells embedded in transfer. an extracellular matrix. Within biofilms, bacteria often interact In simple models of biofilms that incorporate realistic with members of their own species and cooperate or compete reaction-diffusion effects, Xavier and Foster (19) found that with members of other species via quorum sensing (QS). QS is matrix production allows cells to push descendants outward a process by which microbes produce, secrete, and subsequently from a surface into a more O2-rich environment. Consequently, detect small molecules called autoinducers (AIs) to assess their they found that matrix production provides a strong competitive local population density. We explore the competitive advantage advantage to cell lineages by suffocating neighboring nonpro- of QS through agent-based simulations of a spatial model in ducing cells (19). Building upon this work, Nadell et al. (20) which colony expansion via extracellular matrix production pro- showed that strategies that employ QS to deactivate matrix vides greater access to a limiting diffusible nutrient. -
Agent-Based and Continuum Modelling of Populations of Cells
Agent-Based and Continuum Modelling of Populations of Cells John King Michael Lees Brian Logan December 2006 1 Introduction Bacterial biofilms represent systems of considerable complexity, involving phenomena spanning a vast range of spatial scales (from sub-cellular to population) and with scope for generating a huge variety of emergent behaviour. Biofilms comprise communities of diverse individuals which may interact in both mutually beneficial and competi- tive fashions. They thus provide comparatively simple (and experimentally relatively well characterised) systems in which variety, ‘altruism’ and antagonism all have scope to flourish as a heterogeneous population develops. Cellular inter-relationships, even in single-species populations, are themselves highly complex, with signalling systems, such as quorum sensing, able to lead to coordinated changes in phenotype (see [10], for example). These quorum-sensing systems are increasingly being understood in terms of the subcellular interactions which govern the production of the relevant signalling molecules. Moreover, mathematical models of these processes are increasingly be- coming established and validated, together with those of the corresponding macroscale behaviour (transport of signalling molecules and nutrient, biofilm growth etc.). Such systems inextricably involve phenomena at both subcellular and macroscopic levels of a type widely studied by mathematicians (appropriate modelling frameworks typically comprising (possibly stochastic) differential equations and differential-delay -
Relatedness, Conflict, and the Evolution of Eusociality Xiaoyun Liao
Washington University in St. Louis Washington University Open Scholarship Biology Faculty Publications & Presentations Biology 3-23-2015 Relatedness, Conflict, and the Evolution of Eusociality Xiaoyun Liao Stephen Rong David C. Queller Washington University in St Louis, [email protected] Follow this and additional works at: https://openscholarship.wustl.edu/bio_facpubs Part of the Behavior and Ethology Commons, Biology Commons, and the Population Biology Commons Recommended Citation Liao, Xiaoyun; Rong, Stephen; and Queller, David C., "Relatedness, Conflict, and the Evolution of Eusociality" (2015). Biology Faculty Publications & Presentations. 59. https://openscholarship.wustl.edu/bio_facpubs/59 This Article is brought to you for free and open access by the Biology at Washington University Open Scholarship. It has been accepted for inclusion in Biology Faculty Publications & Presentations by an authorized administrator of Washington University Open Scholarship. For more information, please contact [email protected]. RESEARCH ARTICLE Relatedness, Conflict, and the Evolution of Eusociality Xiaoyun Liao1☯, Stephen Rong2☯, David C. Queller2* 1 Department of Ecology and Evolutionary Biology, Rice University, Houston, Texas, United States of America, 2 Biology Department, Washington University in St. Louis, St. Louis, Missouri, United States of America ☯ These authors contributed equally to this work. * [email protected] Abstract The evolution of sterile worker castes in eusocial insects was a major problem in evolution- ary theory until -
BMBL) Quickly Became the Cornerstone of Biosafety Practice and Policy in the United States Upon First Publication in 1984
Biosafety in Microbiological and Biomedical Laboratories 5th Edition U.S. Department of Health and Human Services Public Health Service Centers for Disease Control and Prevention National Institutes of Health HHS Publication No. (CDC) 21-1112 Revised December 2009 Foreword Biosafety in Microbiological and Biomedical Laboratories (BMBL) quickly became the cornerstone of biosafety practice and policy in the United States upon first publication in 1984. Historically, the information in this publication has been advisory is nature even though legislation and regulation, in some circumstances, have overtaken it and made compliance with the guidance provided mandatory. We wish to emphasize that the 5th edition of the BMBL remains an advisory document recommending best practices for the safe conduct of work in biomedical and clinical laboratories from a biosafety perspective, and is not intended as a regulatory document though we recognize that it will be used that way by some. This edition of the BMBL includes additional sections, expanded sections on the principles and practices of biosafety and risk assessment; and revised agent summary statements and appendices. We worked to harmonize the recommendations included in this edition with guidance issued and regulations promulgated by other federal agencies. Wherever possible, we clarified both the language and intent of the information provided. The events of September 11, 2001, and the anthrax attacks in October of that year re-shaped and changed, forever, the way we manage and conduct work