UC San Diego Electronic Theses and Dissertations
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Knowles2020 Naturecomm.Pdf
ARTICLE https://doi.org/10.1038/s41467-020-18078-4 OPEN Temperate infection in a virus–host system previously known for virulent dynamics ✉ Ben Knowles 1 , Juan A. Bonachela 2, Michael J. Behrenfeld3, Karen G. Bondoc 1, B. B. Cael4, Craig A. Carlson5, Nick Cieslik1, Ben Diaz1, Heidi L. Fuchs 1, Jason R. Graff3, Juris A. Grasis 6, Kimberly H. Halsey 7, Liti Haramaty1, Christopher T. Johns1, Frank Natale1, Jozef I. Nissimov8, Brittany Schieler1, Kimberlee Thamatrakoln 1, T. Frede Thingstad9, Selina Våge9, Cliff Watkins1, ✉ Toby K. Westberry 3 & Kay D. Bidle 1 1234567890():,; The blooming cosmopolitan coccolithophore Emiliania huxleyi and its viruses (EhVs) are a model for density-dependent virulent dynamics. EhVs commonly exhibit rapid viral repro- duction and drive host death in high-density laboratory cultures and mesocosms that simulate blooms. Here we show that this system exhibits physiology-dependent temperate dynamics at environmentally relevant E. huxleyi host densities rather than virulent dynamics, with viruses switching from a long-term non-lethal temperate phase in healthy hosts to a lethal lytic stage as host cells become physiologically stressed. Using this system as a model for temperate infection dynamics, we present a template to diagnose temperate infection in other virus–host systems by integrating experimental, theoretical, and environmental approaches. Finding temperate dynamics in such an established virulent host–virus model system indicates that temperateness may be more pervasive than previously considered, and that the role of viruses in bloom formation and decline may be governed by host physiology rather than by host–virus densities. 1 Department of Marine and Coastal Science, Rutgers University, New Brunswick, NJ 08901, USA. -
Modeling Techniques
Appendix A Modeling Techniques A.1 Population Growth Models Using Differential Equations Our main goal here is to introduce a few modeling techniques we use throughout this book. We do not intend however to provide here the fundamentals on modeling, a tutorial or a review. For these, we refer to other sources (DeAngelis et al. 1992; Ford 2009; Grimm et al. 2006; Kuang 1993). This Appendix is rather a refresher as well as an example of why using different modeling techniques for one and the same problem can be beneficial to understand biological processes better. We start with the simple exponential population growth to make modeling accessible even to complete beginners. Biologists generally define a population as a collection of individuals that belong to the same species and can potentially breed with each other. One of the best-known early models on population growth was outlined by Malthus (1798). He famously maintained that the human population is predicted to grow in an exponential manner, but the crucial products needed to sustain the population grow in but a linear manner. He argued that these different types of growths will trigger disasters when the population’s needs are not satisfied. The basic exponential growth model consists of a single positive feedback loop that arises from the fact that every individual (N) is predicted to have a fixed number of offspring (r), regardless of the size of the population, and thus also regardless of the remaining resources in the habitat: dN = rN dt (A.1.1) This exponential growth model had a profound effect on biology such as developing the theory of natural selection (Darwin 1859). -
Density Dependence in Demography and Dispersal Generates Fluctuating
Density dependence in demography and dispersal generates fluctuating invasion speeds Lauren L. Sullivana,1, Bingtuan Lib, Tom E. X. Millerc, Michael G. Neubertd, and Allison K. Shawa aDepartment of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN 55108; bDepartment of Mathematics, University of Louisville, Louisville, KY 40292; cDepartment of BioSciences, Program in Ecology and Evolutionary Biology, Rice University, Houston, TX 77005; and dBiology Department, Woods Hole Oceanographic Institution, Woods Hole, MA 02543 Edited by Alan Hastings, University of California, Davis, CA, and approved March 30, 2017 (received for review November 23, 2016) Density dependence plays an important role in population regu- is driven by reproduction and dispersal from high-density pop- lation and is known to generate temporal fluctuations in popu- ulations behind the invasion front (13–15)]. The conventional lation density. However, the ways in which density dependence wisdom of a long-term constant invasion speed is widely applied affects spatial population processes, such as species invasions, (16, 17). are less understood. Although classical ecological theory suggests In contrast to classic approaches that emphasize a long-term that invasions should advance at a constant speed, empirical work constant speed, there is growing empirical recognition that inva- is illuminating the highly variable nature of biological invasions, sion dynamics can be highly variable and idiosyncratic (18–25). which often exhibit nonconstant spreading speeds, even in sim- There are several theoretical explanations for fluctuations in ple, controlled settings. Here, we explore endogenous density invasion speed (which we define here as any persistent tem- dependence as a mechanism for inducing variability in biologi- poral variability in spreading speed), including stochasticity in cal invasions with a set of population models that incorporate either demography or dispersal (24–28) and temporal or spatial density dependence in demographic and dispersal parameters. -
Plant Diversity Increases with the Strength of Negative Density Dependence at the Global Scale
RESEARCH FOREST ECOLOGY predators, pathogens, or herbivores) and/or com- petition for space and resources (2–4, 7). Numer- ous studies have documented the existence of CNDD in one or several plant species (8–12), and Plant diversity increases with the most of these studies explicitly or implicitly as- sume that stronger CNDD maintains higher spe- strength of negative density cies diversity in communities. However, only a handful of studies have explicitly examined dependence at the global scale the link between CNDD and species diversity (4, 11, 13, 14),andnostudyhasexaminedthis relationship across temperate and tropical lat- Joseph A. LaManna,1,2* Scott A. Mangan,2 Alfonso Alonso,3 Norman A. Bourg,4,5 itudes. Despite decades of study, our understand- Warren Y. Brockelman,6,7 Sarayudh Bunyavejchewin,8 Li-Wan Chang,9 ing of how processes at local scales—such as Jyh-Min Chiang,10 George B. Chuyong,11 Keith Clay,12 Richard Condit,13 density-dependent biotic interactions—influence Susan Cordell,14 Stuart J. Davies,15,16 Tucker J. Furniss,17 Christian P. Giardina,14 18 18 19,20 global patterns of biodiversity remains in flux I. A. U. Nimal Gunatilleke, C. V. Savitri Gunatilleke, Fangliang He, 1 15 21 22 23 ( , ). Robert W. Howe, Stephen P. Hubbell, Chang-Fu Hsieh, Both species-specific and more generalized 14 24 25 15,16 Faith M. Inman-Narahari, David Janík, Daniel J. Johnson, David Kenfack, mechanisms can cause CNDD, but only CNDD 3 24 26 17 Lisa Korte, Kamil Král, Andrew J. Larson, James A. Lutz, caused by species-specific mechanisms can main- 27,28 4 29 Sean M. -
"Density Dependence and Independence"
Density Dependence and Advanced article Independence Article Contents . Introduction: Concepts and Importance in Ecology Mark A Hixon, Oregon State University, Corvallis, Oregon, USA . Mechanisms of Density Dependence . Old Debates Resolved Darren W Johnson, Oregon State University, Corvallis, Oregon, USA . Detecting Density Dependence . Future Directions Online posting date: 15th December 2009 Density dependence occurs when the population growth parameter of interest involves population dynamics, rate, or constituent gain rates (e.g. birth and immi- including the population growth rate and the four primary gration) or loss rates (death and emigration), vary caus- demographic (or vital) rates – birth, death, immigration ally with population size or density (N). When these and emigration – although related parameters, such as growth and fecundity, are also investigated. See also: parameters do not vary with N, they are density-inde- Population Dynamics: Introduction pendent. Direct density dependence, where the popu- Use of the words ‘density dependence’ alone normally lation growth rate or gain rates vary as a negative means ‘direct density dependence’ (or compensation): the function of N, or the loss rates vary as a positive function of per capita (proportional) gain rate (population or indi- N, is necessary but not always sufficient for population vidual growth, fecundity, birth or immigration) decreases regulation. The opposite patterns, inverse density as N increases (Figure 1a) or the loss rate (death and/or dependence or the Allee effect, may push endangered emigration) increases as N increases (Figure 1b). The populations towards extinction. Direct density depend- opposite patterns are called inverse density dependence (or ence is caused by competition, and at times, predation. -
Cell Size Homeostasis and Optimal Viral Strategies
CELL SIZE HOMEOSTASIS AND OPTIMAL VIRAL STRATEGIES FOR HOST EXPLOITATION by Cesar Augusto Vargas-Garcia A dissertation submitted to the Faculty of the University of Delaware in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical and Computer Engineering Fall 2017 c 2017 Cesar Augusto Vargas-Garcia All Rights Reserved ACKNOWLEDGEMENTS I want to thank my advisor Abhyudai Singh. He discovered my professional potential and helped me to achieve this important goal in my life. I am grateful to the Dean, the Faculty, and the Staff of the Department of Electrical and Computer Engineering for providing their assistance and support through the years of my Ph.D. program. I want to thank also my co-advisor and friend, Dr. Ryan Zurakowski. He gave me the opportunity to start and enjoy this field. Also he encouraged me to be resilient in pursuing my degree in the hard days. I want to thank to professor and close friend Henry Arguello for all his support and advice through this years. I also want to thank my wife and daughter, Neyla Johanna and Victoria for their support and encouragement during my studies. They provided me the home to rest after every hard day. My students and alma-mater group HDSP gave me the motivation and encour- agement to make the best effort in my research. They have been my friends and part of my family during this time. I appreciate their collaboration and company in this part of my life. Special thanks to my friends and colleagues Mohammad Soltani and Khem Ghusinga for their support, friendship and collaborations in uncountable and exciting projects which are nowadays the core of my research. -
Literature Cited in Lizards Natural History Database
Literature Cited in Lizards Natural History database Abdala, C. S., A. S. Quinteros, and R. E. Espinoza. 2008. Two new species of Liolaemus (Iguania: Liolaemidae) from the puna of northwestern Argentina. Herpetologica 64:458-471. Abdala, C. S., D. Baldo, R. A. Juárez, and R. E. Espinoza. 2016. The first parthenogenetic pleurodont Iguanian: a new all-female Liolaemus (Squamata: Liolaemidae) from western Argentina. Copeia 104:487-497. Abdala, C. S., J. C. Acosta, M. R. Cabrera, H. J. Villaviciencio, and J. Marinero. 2009. A new Andean Liolaemus of the L. montanus series (Squamata: Iguania: Liolaemidae) from western Argentina. South American Journal of Herpetology 4:91-102. Abdala, C. S., J. L. Acosta, J. C. Acosta, B. B. Alvarez, F. Arias, L. J. Avila, . S. M. Zalba. 2012. Categorización del estado de conservación de las lagartijas y anfisbenas de la República Argentina. Cuadernos de Herpetologia 26 (Suppl. 1):215-248. Abell, A. J. 1999. Male-female spacing patterns in the lizard, Sceloporus virgatus. Amphibia-Reptilia 20:185-194. Abts, M. L. 1987. Environment and variation in life history traits of the Chuckwalla, Sauromalus obesus. Ecological Monographs 57:215-232. Achaval, F., and A. Olmos. 2003. Anfibios y reptiles del Uruguay. Montevideo, Uruguay: Facultad de Ciencias. Achaval, F., and A. Olmos. 2007. Anfibio y reptiles del Uruguay, 3rd edn. Montevideo, Uruguay: Serie Fauna 1. Ackermann, T. 2006. Schreibers Glatkopfleguan Leiocephalus schreibersii. Munich, Germany: Natur und Tier. Ackley, J. W., P. J. Muelleman, R. E. Carter, R. W. Henderson, and R. Powell. 2009. A rapid assessment of herpetofaunal diversity in variously altered habitats on Dominica. -
STAGE STRUCTURE, DENSITY DEPENDENCE and the EFFICACY of MARINE RESERVES Colette M. St. Mary, Craig W. Osenberg, Thomas K. Frazer
BULLETIN OF MARINE SCIENCE, 66(3): 675–690, 2000 STAGE STRUCTURE, DENSITY DEPENDENCE AND THE EFFICACY OF MARINE RESERVES Colette M. St. Mary, Craig W. Osenberg, Thomas K. Frazer and William J. Lindberg ABSTRACT The habitat requirements of fishes and other marine organisms often change with on- togeny, so many harvested species exhibit such extreme large-scale spatial segregation between life stages that all life stages cannot be protected within a single marine reserve. Nevertheless, most discussions of marine reserves have focused narrowly on single life- history events (e.g., reproduction or settlement) or a single life stage (e.g., adult or re- cruit). Instead, we hypothesize that an effective marine reserve system should often in- clude a diversity of protected habitats, each appropriate to a different life stage. In such a case, the spatial configuration of habitats within reserves, and of separate reserves across larger spatial scales, may affect how marine resources respond to reserve design. We explored these issues by developing a mathematical model of a fish population consist- ing of two benthic life stages (juvenile and adult) that use spatially distinct habitats and examined the population’s response to various management scenarios. Specifically, we varied the sizes of reserves protecting the two life stages and the degree of coupling between juvenile and adult reserves (i.e., the fraction of the protected juvenile stock that migrates into the adult reserve upon maturation). We examined the effects when density dependence operated in only the juvenile stage, only the adult stage, or both. The results demonstrated that population stage structure and the nature of density dependence should be incorporated into the design of marine reserves but did not provide robust support for the general tenet that all life stages must be protected for an effective reserve system. -
Water Column Stratification Structures Viral Community Composition in the Sargasso Sea
Vol. 76: 85–94, 2015 AQUATIC MICROBIAL ECOLOGY Published online October 7 doi: 10.3354/ame01768 Aquat Microb Ecol OPEN ACCESS FEATURE ARTICLE Water column stratification structures viral community composition in the Sargasso Sea Dawn B. Goldsmith1, Jennifer R. Brum2,4, Max Hopkins1, Craig A. Carlson3, Mya Breitbart1,* 1College of Marine Science, University of South Florida, St. Petersburg, FL 33701, USA 2Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA 3Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA 93106-9620, USA 4Present address: Department of Microbiology, Ohio State University, Columbus, OH 43210, USA ABSTRACT: A decade-long study of viral abundance at the Bermuda Atlantic Time-series Study (BATS) site recently revealed an annually recurring pattern where viral abundance was fairly uniform in the well-mixed upper water column each winter, yet a subsurface peak in viral abundance between 60 and 100 m depth developed each summer during water column stratification (Parsons et al. 2012; ISME J 6:273–284). Building upon these findings, this study tests the hypothesis that in the well-mixed period (March), the viral communities at the surface and at 100 m depth are similar in composition, while during water column stratification (September), differences in the viruses occupying these 2 depths emerge. Amplification and sequencing of 3 signature genes (g23, phoH, and the ssDNA phage major capsid pro- Sargasso Sea viral communities at 0 and 100 m are similar tein) in addition to randomly amplified polymorphic in the well-mixed winter, but differ during summer water- DNA PCR gel banding patterns were used to assess column stratification. -
First Insight Into the Viral Community of the Cnidarian Model Metaorganism Aiptasia Using RNA-Seq Data
First insight into the viral community of the cnidarian model metaorganism Aiptasia using RNA-Seq data Jan D. Brüwer and Christian R. Voolstra Red Sea Research Center, Division of Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah, Saudi Arabia ABSTRACT Current research posits that all multicellular organisms live in symbioses with asso- ciated microorganisms and form so-called metaorganisms or holobionts. Cnidarian metaorganisms are of specific interest given that stony corals provide the foundation of the globally threatened coral reef ecosystems. To gain first insight into viruses associated with the coral model system Aiptasia (sensu Exaiptasia pallida), we analyzed an existing RNA-Seq dataset of aposymbiotic, partially populated, and fully symbiotic Aiptasia CC7 anemones with Symbiodinium. Our approach included the selective removal of anemone host and algal endosymbiont sequences and subsequent microbial sequence annotation. Of a total of 297 million raw sequence reads, 8.6 million (∼3%) remained after host and endosymbiont sequence removal. Of these, 3,293 sequences could be assigned as of viral origin. Taxonomic annotation of these sequences suggests that Aiptasia is associated with a diverse viral community, comprising 116 viral taxa covering 40 families. The viral assemblage was dominated by viruses from the families Herpesviridae (12.00%), Partitiviridae (9.93%), and Picornaviridae (9.87%). Despite an overall stable viral assemblage, we found that some viral taxa exhibited significant changes in their relative abundance when Aiptasia engaged in a symbiotic relationship with Symbiodinium. Elucidation of viral taxa consistently present across all conditions revealed a core virome of 15 viral taxa from 11 viral families, encompassing many viruses previously reported as members of coral viromes. -
Evaluation of a Potential Bacteriophage Cocktail for the Control of Shiga-Toxin Producing Escherichia Coli in Food
fmicb-11-01801 July 23, 2020 Time: 17:24 # 1 ORIGINAL RESEARCH published: 24 July 2020 doi: 10.3389/fmicb.2020.01801 Evaluation of a Potential Bacteriophage Cocktail for the Control of Shiga-Toxin Producing Escherichia coli in Food Nicola Mangieri, Claudia Picozzi*, Riccardo Cocuzzi and Roberto Foschino Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milan, Italy Shiga-toxin producing Escherichia coli (STEC) are important foodborne pathogens involved in gastrointestinal diseases. Furthermore, the recurrent use of antibiotics to treat different bacterial infections in animals has increased the spread of antibiotic-resistant bacteria, including E. coli, in foods of animal origin. The use of bacteriophages for the control of these microorganisms is therefore regarded as a valid alternative, especially considering the numerous advantages (high specificity, self-replicating, self-limiting, harmless to humans, animals, and plants). This study aimed to isolate bacteriophages Edited by: Lin Lin, active on STEC strains and to set up a suspension of viral particles that can be potentially Jiangsu University, China used to control STEC food contamination. Thirty-one STEC of different serogroups Reviewed by: (O26; O157; O111; O113; O145; O23, O76, O86, O91, O103, O104, O121, O128, Kim Stanford, Alberta Ministry of Agriculture and O139) were investigated for their antibiotic resistance profile and sensitivity to phage and Forestry, Canada attack. Ten percent of strains exhibited a high multi-resistance profile, whereas ampicillin Nancy Ann Strockbine, was the most effective antibiotic by inhibiting 65% of tested bacteria. On the other Centers for Disease Control and Prevention (CDC), United States side, a total of 20 phages were isolated from feces, sewage, and bedding material of *Correspondence: cattle. -
DENSITY DEPENDENCE, the LOGISTIC EQUATION, and R- AUD
89 DENSITY DEPENDENCE,THE LOGISTIC EQUATION, AND r- AUD K-SELECTION: A CRITIQUE AI{D AN AJ,TERNATIVEAPPROACH Jan Kozlowski Department of Animal Ecology Jagiellonlan University Karasia 6 30-060 Krak6w, POLAND Received September 18,1978; July 9, 1980 ABSTRACT: The logistic equation is a starting point of many ecological theories. Most ecologists agree that this equation is usually not conslstent Iillth observations and experlmental results but it ls argued that the slmpllclty of fhis equatlon ls the reason for this lnconsistency. In this paper I attempt to prove that the reason for inadequacy of the logistic equation l-s more fundamental: most systems qf equa- tions descrlbing the dynamlcs of population and lts resources cannot be transformed to the single equatlon for limited growth. Even if thls transformation is posslble' the K parameter depends on components of !r usually on the ratLo of mortallty rate to reproduction rate. Thls fact ls commonly overlooked because it ls assuned that denslty affects the abstract term r (popul-atlon growth rate). Because of doubts as to density-dependence and the logistlc equation, the r- and K-selectlon concept is criticLzed, both as a classiflcation system and as a predlctlve theory. It ls shown that when resources are explicltly consldered, it ls possible to prediet traits favored by natural- selectLon on a given resource level dlrectly from the descrlptlon of the system. This approach seems to be more advan- tageous than the r- and K-selection concept. I. INTRODUCTION Ttre logistic equation is a mathematical formulation of the denslty-dependent facEors concept. Though density-dependence may no longer be a burning issue lt ls dlfflcult to flnd a contemporary ecology textbook that does not contaln the loglstlc equation.