Major Evolutionary Transitions in Individuality COLLOQUIUM
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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. -
Comparative Methods Offer Powerful Insights Into Social Evolution in Bees Sarah Kocher, Robert Paxton
Comparative methods offer powerful insights into social evolution in bees Sarah Kocher, Robert Paxton To cite this version: Sarah Kocher, Robert Paxton. Comparative methods offer powerful insights into social evolution in bees. Apidologie, Springer Verlag, 2014, 45 (3), pp.289-305. 10.1007/s13592-014-0268-3. hal- 01234748 HAL Id: hal-01234748 https://hal.archives-ouvertes.fr/hal-01234748 Submitted on 27 Nov 2015 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. Apidologie (2014) 45:289–305 Review article * INRA, DIB and Springer-Verlag France, 2014 DOI: 10.1007/s13592-014-0268-3 Comparative methods offer powerful insights into social evolution in bees 1 2 Sarah D. KOCHER , Robert J. PAXTON 1Department of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA 2Institute for Biology, Martin-Luther-University Halle-Wittenberg, Halle, Germany Received 9 September 2013 – Revised 8 December 2013 – Accepted 2 January 2014 Abstract – Bees are excellent models for studying the evolution of sociality. While most species are solitary, many form social groups. The most complex form of social behavior, eusociality, has arisen independently four times within the bees. -
Cheaters Must Prosper: Reconciling Theoretical and Empirical Perspectives on Cheating in Mutualism
Ecology Letters, (2015) 18: 1270–1284 doi: 10.1111/ele.12507 REVIEW AND SYNTHESIS Cheaters must prosper: reconciling theoretical and empirical perspectives on cheating in mutualism Abstract Emily I. Jones,1,2,3† Cheating is a focal concept in the study of mutualism, with the majority of researchers considering Michelle E. Afkhami,4 Erol Akßcay,5 cheating to be both prevalent and highly damaging. However, current definitions of cheating do Judith L. Bronstein,6 Redouan not reliably capture the evolutionary threat that has been a central motivation for the study of Bshary,7 Megan E. Frederickson,4 cheating. We describe the development of the cheating concept and distill a relative-fitness-based Katy D. Heath,8 Jason D. definition of cheating that encapsulates the evolutionary threat posed by cheating, i.e. that chea- Hoeksema,9 Joshua H. Ness,10 ters will spread and erode the benefits of mutualism. We then describe experiments required to 11 conclude that cheating is occurring and to quantify fitness conflict more generally. Next, we dis- M. Sabrina Pankey, Stephanie S. ‡ cuss how our definition and methods can generate comparability and integration of theory and Porter,12 Joel L. Sachs,12 Klara experiments, which are currently divided by their respective prioritisations of fitness consequences Scharnagl13 and Maren L. and traits. To evaluate the current empirical evidence for cheating, we review the literature on sev- Friesen13*,† eral of the best-studied mutualisms. We find that although there are numerous observations of low-quality partners, there is currently very little support from fitness data that any of these meet our criteria to be considered cheaters. -
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. -
Quorum Sensing
SBT1103 / MICROBIOLOGY / UNIT V / BIOTECH/BIOMED/BIOINFO II SEMESTER / I YEAR UNIT – V APPLICATIONS OF MICROBIOLOGY 1 SBT1103 / MICROBIOLOGY / UNIT V / BIOTECH/BIOMED/BIOINFO II SEMESTER / I YEAR Microbial ecology The great plate count anomaly. Counts of cells obtained via cultivation are orders of magnitude lower than those directly observed under the microscope. This is because microbiologists are able to cultivate only a minority of naturally occurring microbes using current laboratory techniques, depending on the environment.[1] Microbial ecology (or environmental microbiology) is the ecology of microorganisms: their relationship with one another and with their environment. It concerns the three major domains of life—Eukaryota, Archaea, and Bacteria—as well as viruses. Microorganisms, by their omnipresence, impact the entire biosphere. Microbial life plays a primary role in regulating biogeochemical systems in virtually all of our planet's environments, including some of the most extreme, from frozen environments and acidic lakes, to hydrothermal vents at the bottom of deepest oceans, and some of the most familiar, such as the human small intestine.[3][4] As a consequence of the quantitative magnitude of microbial life (Whitman and coworkers calculated 5.0×1030 cells, eight orders of magnitude greater than the number of stars in the observable universe[5][6]) microbes, by virtue of their biomass alone, constitute a significant carbon sink.[7] Aside from carbon fixation, microorganisms’ key collective metabolic processes (including -
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. -
The Personality Behind Cheating: Behavioural Types and the Feeding Ecology of Cleaner Fish Alexander D
ethologyinternational journal of behavioural biology Ethology The Personality Behind Cheating: Behavioural Types and the Feeding Ecology of Cleaner Fish Alexander D. M. Wilson*†, Jens Krause†‡, James E. Herbert-Read§ & Ashley J. W. Ward¶ * Department of Biology, Carleton University, Ottawa, ON, Canada † Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany ‡ Department for Crop and Animal Sciences, Humboldt University, Berlin, Germany § Mathematics Department, Uppsala University, Uppsala, Sweden ¶ School of Biological Sciences, University of Sydney, Sydney, NSW, Australia Correspondence Abstract Alexander D. M. Wilson, Department of Biology, Carleton University, Ottawa, ON The complex mutualistic relationship between the cleaner fish (Labroides K1S5B6, Canada. dimidiatus) and their ‘clients’ in many reef systems throughout the world E-mail: [email protected] has been the subject of debate and research interest for decades. Game- theory models have long struggled with explaining how the mixed strate- Received: February 8, 2014 gies of cheating and honesty might have evolved in such a system and Initial acceptance: April 6, 2014 while significant efforts have been made theoretically, demonstrating the Final acceptance: May 4, 2014 nature of this relationship empirically remains an important research (W. Koenig) challenge. Using the experimental framework of behavioural syndromes, we sought to quantitatively assess the relationship between personality doi: 10.1111/eth.12262 and the feeding ecology of cleaner fish to provide novel insights into the Keywords: mutualism, behavioural underlying mechanistic basis of cheating in cleaner-client interactions. syndromes, Labroides dimidiatus, First, we observed and filmed cleaner fish interactions with heterospecif- personality, game theory, boldness ics, movement patterns and general feeding ecology in the wild. -
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 -
Quorum Sensing by Yeast
Downloaded from genesdev.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press PERSPECTIVE Eukaryotes learn how to count: quorum sensing by yeast George F. Sprague Jr.1,3 and Stephen C. Winans2 1Institute of Molecular Biology, Department of Biology, University of Oregon, Eugene, Oregon 97403, USA; 2Department of Microbiology, Cornell University, Ithaca, New York 14853, USA Signaling mechanisms that govern physiological and cence, the horizontal transfer of DNA, the formation of morphological responses to changes in cell density are biofilms, and the production of pathogenic factors, anti- common in bacteria. Quorum sensing, as such signal biotics, and other secondary metabolites (Whitehead et transduction processes are called, involves the produc- al. 2001). Intercellular signaling is often thought to pro- tion of, release of, and response to hormone-like mol- vide a means to estimate population densities, hence the ecules (autoinducers) that accumulate in the external en- term “quorum sensing” (Fuqua et al. 1994). According to vironment as the cell population grows. Quorum sensing this idea, bacteria can estimate their numbers by releas- is found in a wide variety of bacteria, both Gram positive ing and detecting a particular chemical signal. However, and Gram negative, and the spectrum of physiological these molecules could also allow the detection of a dif- functions that can be regulated is impressive indeed. fusion barrier (Redfield 2001). Supporting this idea, Variation in the nature of the extracellular signal, in the single cells of Staphylococcus aureus can induce quo- signal detection machinery, and in the mechanisms of rum-dependent genes when confined within a host en- signal transmission demonstrates the evolutionary dosome (Qazi et al.