Evolving Migration

Total Page:16

File Type:pdf, Size:1020Kb

Evolving Migration COMMENTARY Evolving migration Stephen J. Simpson1 and Gregory A. Sword School of Biological Sciences, University of Sydney, Sydney, New South Wales 2006, Australia ass migrations of wildebeest, model by Guttal and Couzin (5), such caribou, song birds, sting a situation evolved spontaneously. M rays, and monarch butterflies Distinct groups of leaders and sociable are among the wonders of individuals arose under a wide range of the natural world (Fig. 1). At a very dif- scenarios in which population density and ferent scale, the coordinated migration of cost functions were varied. However, other cells within the body is central to embry- outcomes were possible under certain ological development, immune responses, conditions. At very low densities with low and wound healing. Although the scale, gradient-following costs, most individuals functions, and mechanisms may differ, were leaders, resulting in individuals mi- these examples share one key feature: grating independently rather than collec- they are the product of local interactions tively. Conversely, at extremely high among individual agents (wildebeest, but- population densities when gradient fol- terflies, or cells). The proximate mecha- Fig. 1. Caribou migration: a spectacular annual lowing costs were high, stationary aggre- nisms where collective behavior arises event in the Arctic. (Photograph courtesy of Ryan gations resulted. Nevertheless, collective K. Brook.) from local interactions between indi- migration in which a majority of sociable viduals have become a fertile area of re- followers exploited the gradient-following search, founded on models from statis- the gradient (high gradient detection and abilities of a minority of leaders was ob- tical physics in which interacting agents intermediate sociability). served over the vast majority of the pa- are modeled as self-propelled particles As grist for evolution in the model, cost rameter space explored. (1–4). Guttal and Couzin (5) take such functions were specified for each of these The process by which the two stable analyses to the next level and ask how and variable traits: the greater the gradient strategies arise and coexist reveals the under what ecological circumstances might detection ability and level of sociability, central role of information structure and collective migration have evolved. the higher the cost to the individual. Costs collective dynamics in affecting the fitness Collective migration is a group level of detecting and following a gradient payoffs to individual group members. phenomenon, but its underlying mecha- might include reduced vigilance to preda- Under most conditions, all individuals in nisms are at the level of individuals. What, tors and the energetic costs of maintaining a population that initially lacks both gra- then, are the individual level traits that gradient detection mechanisms, whereas dient detection and sociability rapidly might be subject to selection, and how the costs of sociability could include in- evolve the ability to detect a gradient be- might the collective level phenomena creased competition for food, disease cause of the associated fitness benefits of arising from these traits feed back to affect transmission, or greater visibility to pred- migration. At the same time, individuals fi the tness of the individuals involved? ators (6). On the positive side of the evo- who also acquire a mutation to become fi Guttal and Couzin (5) model a situation lutionary ledger, fitness benefits were sociable gain an additional tness advan- where two traits are subject to selection. tage because of the increased migratory fi gained according to how far and precisely The rst is the capacity of an organism to organisms migrated in the direction of accuracy accrued through the many respond to a gradient or some other ex- the gradient. wrongs principle of group navigation (8). ternal cue, indicating the correct direction Having set their agents free to evolve, Thus, individuals with both strong gradient of migration. Real examples of cues used Guttal and Couzin (5) find that popu- detection and sociability parameters ini- by migrating organisms include magnetic lations typically evolved two coexisting tially come to dominate the population. It fields, sunlight, wind direction, tempera- and equally fit individual strategies: a mi- is at this point that the information pro- ture, and chemical gradients. The second nority of individuals evolved to become vided within the group facilitates some evolvable trait in the model is the socia- leaders, and the rest were highly sociable surprising evolutionary dynamics. Indi- bility of an organism: specifically, its ten- viduals can achieve higher relative fitness followers. Leaders assiduously followed the dency to be attracted to and align with by relaxing their gradient detection ability environmental gradient and largely ignored moving neighbors. Examples include the while obtaining the benefits of migration other individuals, whereas sociable in- visually guided responses of starlings through increased social attraction to dividuals were attracted by one another but and locusts or physical adhesion and gradient-detecting group members or their chemical signaling among bacteria. Vari- had little or no ability to detect the gradi- followers. As a result, an overall decrease ous combinations of traits values in the ent. As a consequence, the entire group in gradient detection ability is observed, model could result in a spectrum of pop- tracked the gradient together, with leaders whereas the strength of sociability in- ulation level outcomes, including indi- showing the way and sociable individuals creases. The stage is now set for a split in viduals moving randomly (low gradient tagging along and freeloaded on the gra- strategies. Some individuals achieve higher detection and low sociability), migrat- dient-following ability of the leaders. relative fitness by further reducing the ing independently of one another (high Couzin et al. (1) had previously shown costs of gradient detection and increasing gradient detection and low sociability), in an agent-based simulation how a small forming aggregations but not migrating number of informed individuals can direct (low gradient detection and high sociabil- a large group of naive individuals to a re- Author contributions: S.J.S. and G.A.S. wrote the paper. ity), migrating together along the gradient source site, as seen, for example, in the The authors declare no conflict of interest. (high gradient detection and high socia- way that a small number of informed scout See companion article 10.1073/pnas.1006874107. fi bility), or forming lamentous groups that honey bees directs a large swarm of igno- 1To whom correspondence should be addressed. E-mail: split and fuse again as they move along rant insects to a new nest site (7). In the [email protected]. www.pnas.org/cgi/doi/10.1073/pnas.1011693107 PNAS Early Edition | 1of2 Downloaded by guest on September 26, 2021 their sociability, thereby exclusively be- hibit collective migration? One intriguing movement decisions, the scale at which coming followers. In other individuals, possibility is that individuals that fail to such stimuli can be detected, and the fre- mutations that increase gradient detec- migrate in an otherwise collectively mi- quency at which conspecifics encounter tion ability but reduce sociability become grating population are simply sociable each other during migration. favored; they evolve as leaders that gain individuals who failed to get the message It is well known that populations may a fitness advantage through increased in- and did not experience sufficient stimuli- lose or gain migratory behavior (9). dividual migratory benefits and relaxed from leaders whom they otherwise would A clever aspect of the model by Guttal costs of sociality. The net result is a have followed. Alternatively, there are, of and Couzin (5) is that they used the shape frequency-dependent balance of the two of migration benefit function as a surro- alternative strategies with equal fitness in gate for increasing habitat fragmentation the population. The population exhibits Collective migration can to examine the potential impact of collective migration but is actually com- arise even in very anthropogenic changes on migratory pat- prised of two sets of individuals following terns. Using a simple nonlinear function, very different rules. sparse populations, they could adjust how far individuals Many behavioral strategies are condi- needed to migrate before enjoying in- tional: the animal exhibits one strategy when individuals rarely creased benefits. As habitat fragmentation under some circumstances and another along the migratory route increases, for strategy in a different set of conditions. interact. example, through loss of stop-over sites, Variation among individuals in migratory migration is gradually lost because of the strategies is well known in nature (9). To higher costs of reaching more distant model a scenario in which individuals with course, many other ways in which an destinations. However, restoring the habi- a high gradient detection ability might ei- organism’s state, developmental stage, and tat does not simply restore migration. ther avoid exploitation by sociable indi- environment could mediate its expression This is because minor mutations that only viduals or exploit the gradient detection of migratory behavior. Extensions of in- slightly improve gradient detection do not ability of others, they were allowed to turn dividually
Recommended publications
  • 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
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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
    [Show full text]
  • 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
    [Show full text]
  • 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.
    [Show full text]
  • Quorum Sensing Signal Production and Microbial Interactions in a Polymicrobial Disease of Corals and the Coral Surface Mucopolysaccharide Layer
    University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Chemistry Publications and Other Works Chemistry 9-30-2014 Quorum Sensing Signal Production and Microbial Interactions in a Polymicrobial Disease of Corals and the Coral Surface Mucopolysaccharide Layer Beth L. Zimmer Florida International University Amanda L. May University of Tennessee, Knoxville Chinmayee D. Bhedi Florida International University Stephen P. Dearth University of Tennessee, Knoxville Carson W. Prevatte University of Tennessee, Knoxville See next page for additional authors Follow this and additional works at: https://trace.tennessee.edu/utk_chempubs Recommended Citation Zimmer BL, May AL, Bhedi CD, Dearth SP, Prevatte CW, et al. (2014) Quorum Sensing Signal Production and Microbial Interactions in a Polymicrobial Disease of Corals and the Coral Surface Mucopolysaccharide Layer. PLoS ONE 9(9): e108541. doi:10.1371/journal.pone.0108541 This Article is brought to you for free and open access by the Chemistry at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Chemistry Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Authors Beth L. Zimmer, Amanda L. May, Chinmayee D. Bhedi, Stephen P. Dearth, Carson W. Prevatte, Zoe Pratte, Shawn R. Campagna, and Laurie L. Richardson This article is available at TRACE: Tennessee Research and Creative Exchange: https://trace.tennessee.edu/ utk_chempubs/44 Quorum Sensing Signal Production and Microbial Interactions in a Polymicrobial Disease of Corals and the Coral Surface Mucopolysaccharide Layer Beth L. Zimmer1,2, Amanda L. May3, Chinmayee D. Bhedi1, Stephen P. Dearth3, Carson W.
    [Show full text]
  • Local Termination Criteria for Stochastic Diffusion Search : a Comparison with the Behaviour of Ant Nest-Site Selection
    This is a repository copy of Local termination criteria for Stochastic Diffusion Search : a comparison with the behaviour of ant nest-site selection. White Rose Research Online URL for this paper: https://eprints.whiterose.ac.uk/103126/ Version: Accepted Version Proceedings Paper: Bishop, J. M., Martin, Andrew O. and Robinson, Elva Joan Hilda orcid.org/0000-0003- 4914-9327 (2016) Local termination criteria for Stochastic Diffusion Search : a comparison with the behaviour of ant nest-site selection. In: Nguyen, Ngoc-Thanh, Manolopoulos, Yannis, Iliadis, Lazaros and Trawiński, Bogdan, (eds.) Lecture Notes in Artificial Intelligence:Proceedings of the 8th International Conference on Computational Collective Intelligence (ICCCI 2016), Halkidiki, Greece. Lecture Notes in Artificial Intelligence . Springer-Verlag . https://doi.org/10.1007/978-3-319-45243-2 Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item. 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/ Local termination criteria for Stochastic Diffusion Search: a comparison with the behaviour of ant nest-site selection J.
    [Show full text]