Profile of Bruce Levin
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Geographic Differences in Sexual Reassortment in Rna Phage
ORIGINAL ARTICLE doi:10.1111/j.1558-5646.2010.01040.x GEOGRAPHIC DIFFERENCES IN SEXUAL REASSORTMENT IN RNA PHAGE Kara J. O’Keefe,1,2 Olin K. Silander,3 Helen McCreery,4 Daniel M. Weinreich,5 Kevin M. Wright,6 Lin Chao,7 Scott V. Edwards,2 Susanna K. Remold,8 and Paul E. Turner1,9 1Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06520-8106 2Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138 3Core Program Computational and Systems Biology, Biozentrum, University of Basel, Basel, Switzerland 4Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 5Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912 6Department of Biology, Duke University, Durham, North Carolina 27708 7Section of Ecology, Evolution and Behavior, University of California, San Diego, La Jolla, California 92093 8Department of Biology, University of Louisville, Louisville, Kentucky 40292 9E-mail: [email protected] Received November 5, 2008 Accepted April 20, 2010 The genetic structure of natural bacteriophage populations is poorly understood. Recent metagenomic studies suggest that phage biogeography is characterized by frequent migration. Using virus samples mostly isolated in Southern California, we recently showed that very little population structure exists in segmented RNA phage of the Cystoviridae family due to frequent segment reassortment (sexual genetic mixis) between unrelated virus individuals. Here we use a larger genetic dataset to examine the structure of Cystoviridae phage isolated from three geographic locations in Southern New England. We document extensive natural variation in the physical sizes of RNA genome segments for these viruses. -
The Simplest Questions About Adaptation That I Know (And Perhaps Even Some Answers!)
The Simplest Questions About Adaptation That I Know (and perhaps even some answers!) Ph.D. in Postdoc in Microbial BS in Computer Software Asst. Prof. Molecular Evolutionary Genetics Science Engineer Evolution EEB & CCMB 1978 1983 1992 1998 2000 2001 2007 Daniel M. Weinreich Department of Ecology and Evolutionary Biology, and Center for Computational Molecular Biology Brown University As an Undergraduate I Studied Genetic Algorithms (1983) John Holland (ca. 1980) 1975 • Requires – Bitstring representation of all conceivable solutions – Fitness function to evaluate all conceivable solutions • Initialize population often with ~103 random strings. • Iterate: – Selection (e.g. fitness-proportional or tournament or greedy) – Reproduction (crossover and/or mutation) • Stop at some predetermined point. Fitness Function Bit Position L … 4 3 2 1 Fitness 0 … 0 0 0 0 3.1 0 … 0 0 0 1 2.7 0 … 0 0 1 0 0.0 0 … 0 0 1 1 1.0 0 … 0 1 0 0 12.3 .: … .: .: .: .: .: 1 1 1 1 0 0.3 1 … 1 1 1 1 1.1 Mapping or lookup table from each solution to a non-negative number. (Wright’s) Fitness Landscape Fitness The L-dimensional hypercube (cf. Chris Marx’ talk last week; Haldane 1932). Readily generalizes to (Wright 1932) more than two alleles at each locus. I Was Fascinated • Genetic Algorithms are an unsupervised search heuristic with some tremendous successes in computational applications. Of course also some failures, depending on the ruggedness of the fitness function. • More importantly for me, this suggests that we can regard the staggering biology as the consequence of the Darwinian algorithm. -
Microbial Population Biology Final Progress Report
a 2001 GORDON RESEARCH CONFERENCE on MICROBIAL POPULATION BIOLOGY FINAL PROGRESS REPORT *DEPARTMENTOF ENERGY GRANT NO. DE-FG02-01ER63084 The Gordon Research Conference (GRC) on MICROBIAL POPULATION BIOLOGY was held at Williams College from 7/29/01 thru 8/3/01. The Conference was well-attended with 133 participants (attendees list attached). The attendees represented the spectrum of endeavor in this field coming from academia, industry, and government laboratories, both U.S.and foreign scientists, senior researchers, young investigators, and students. In designing the formal speakers program, emphasis was placed on current unpublished research and discussion of the future target areas in this field. There was a conscious effort to stimulate lively discussion about the key issues in the field today. Time for formal presentations was limited in the interest of group discussions. In order that more scientists could communicate their most recent results, poster presentation time was scheduled. Attached is a copy of the formal schedule and speaker program and the poster program. In addition to these formal interactions, "free time" was scheduled to allow informal discussions. Such discussions are fostering new collaborations and joint efforts in the field. I want to personally thank you for your support of this Conference. As you know, in the interest of promoting the presentation of unpublished and frontier-breaking research, Gordon Research Conferences does not permit publication of meeting proceedings. If you wish any further details, please feel free to contact me. Thank you. Sincerely. LIN CHAO UNIVERSITY OF CALIFORNIA, SAN DlEGO DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. -
An Exploration of Fitness Landscapes: Theory and Experiments
AN EXPLORATION OF FITNESS LANDSCAPES: THEORY AND EXPERIMENTS ——————————- A Dissertation Presented to the Faculty of the Department of Biology & Biochemistry University of Houston ——————————- In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy ——————————- By Kedar Karkare August 2018 AN EXPLORATION OF FITNESS LANDSCAPES: THEORY AND EXPERIMENTS Kedar Karkare APPROVED: Dr. Ricardo Azevedo, Chairman Dr. Timothy Cooper Massey University Dr. Rebecca Zufall Dr. Richard Meisel Dr. Christina Burch University of North Carolina at Chapel Hill Dr. Thomas Bataillon Aarhus University Dean, College of Natural Sciences and Mathematics ii Acknowledgements My fascination with evolution began, through books, in high school. I thank my parents for encouraging me to read relentlessly and always follow my interests. Thank you to Dr. Christina Burch, for inspiring me to conduct research in evo- lutionary biology as an undergraduate, and for the opportunity to start my re- search in her laboratory. Thank you to the University of Houston department of Biology and Biochem- istry for allowing me to pursue my passion for evolutionary biology. Special thanks to my advisors, Dr. Tim Cooper and Dr. Ricardo Azevedo, with- out whom I would not be the scientist, or espresso drinker, that I am today. I’d also like to thank the other members of my dissertation committee, Dr. Thomas Bataillon, Dr. Rebecca Zufall, and Dr. Richard Meisel, for their genuine interest in, feedback on, and criticism of my work. I’d like to thank my colleagues for their constructive criticism and camaraderie. Azevedo Lab: Dr. Ata Kalirad, Dr. Bingjun Zhang, Grimaldo Elias Ureña, Hao Zhang, Logan Chipkin, and Saul Acevedo. -
Sex Frees Viruses from Genetic Ratchet. By: Morell, Virginia
Sex frees viruses from genetic ratchet. By: Morell, Virginia Science, 00368075, 11/28/97, Vol. 278, Issue 5343 Database: Academic Search Premier Find More Like ThisSEX FREES VIRUSES FROM GENETIC `RATCHET' Section: NEWS EVOLUTION ARNHEM, THE NETHERLANDS --It's probably the only question that the celebrated sexologists Masters and Johnson didn't ask: How did sex originate? Evolutionary biologists, however, have puzzled for much of this century over why so much of life has evolved the ability to shuffle genetic material between individuals--the essence of sexual reproduction. "It must confer some benefit," Lin Chao, an evolutionary biologist at the University of Maryland, College Park, said at a meeting of the European Society for Evolutionary Biology here in August. He then went on to report some of the first experimental evidence supporting one explanation, proposed 3 decades ago: that sex enables a population to free itself of harmful genetic mutations. Chao gathered his evidence in one of the simplest of all sexual organisms, an RNA virus whose rapid mutations and short generation time put evolution on fast forward. "He's developed a clever experimental system to test a classic question in evolution," says Peg Riley, an evolutionary biologist at Yale University. "And he's got strong results" that support the hypothesis. In the early 1960s, evolutionary theorist Hermann J. Muller argued that small, asexual populations would necessarily decline in fitness (or reproductive success) over time if their mutation rate was high, because they would accumulate harmful mutations. Muller proposed that this process would work like a ratchet, with each new mutation irreversibly eroding the population's fitness. -
Copyright by Matthew Cranston Cowperthwaite 2008
Copyright by Matthew Cranston Cowperthwaite 2008 The Dissertation Committee for Matthew Cranston Cowperthwaite certifies that this is the approved version of the following dissertation: Mutation: Lessons from RNA Models Committee: Lauren Ancel Meyers, Supervisor James J. Bull Andrew D. Ellington Claus O. Wilke Thomas E. Juenger Mutation: Lessons from RNA Models by Matthew Cranston Cowperthwaite, B.S. Dissertation Presented to the Faculty of the Graduate School of The University of Texas at Austin in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy The University of Texas at Austin May 2008 Dedicated to my parents, Patricia and George, and to my wife, Claudia. Acknowledgments I would like to take this opportunity to thank a lot of people who helped make graduate school a wonderful experience. First, I would like to thank my supervisor, Dr. Lauren Ancel Meyers. Indeed, I could not conceive of a better supervisor than Lauren. Lauren gave me the oppor- tunity to develop and pursue my interests, and invested significant time and energy helping me succeed. Lauren's enthusiasm, creativity, and brilliance were always a source of inspiration that kept me motivated. In addition to being a wonderful mentor, Lauren is also a good friend. I would like to thank Dr. James J. Bull for his essential guidance over the years. Jim was absolutely instrumental in completing this research. Jim is also a fun person with which to collaborate, and an all-around great guy who could always make me laugh with a wise crack or two. A huge thanks to Dr. Andrew Ellington. -
The Emergence of Complexity and Restricted Pleiotropy in Adapting Networks
The emergence of complexity and restricted pleiotropy in adapting networks. Hervé Le Nagard, Lin Chao, Olivier Tenaillon To cite this version: Hervé Le Nagard, Lin Chao, Olivier Tenaillon. The emergence of complexity and restricted pleiotropy in adapting networks.. BMC Evolutionary Biology, BioMed Central, 2011, 11 (1), pp.326. 10.1186/1471-2148-11-326. inserm-00643376 HAL Id: inserm-00643376 https://www.hal.inserm.fr/inserm-00643376 Submitted on 21 Nov 2011 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. Le Nagard et al. BMC Evolutionary Biology 2011, 11:326 http://www.biomedcentral.com/1471-2148/11/326 RESEARCHARTICLE Open Access The emergence of complexity and restricted pleiotropy in adapting networks Hervé Le Nagard1,2,3,4,5*, Lin Chao6 and Olivier Tenaillon1,3* Abstract Background: The emergence of organismal complexity has been a difficult subject for researchers because it is not readily amenable to investigation by experimental approaches. Complexity has a myriad of untested definitions and our understanding of its evolution comes primarily from static snapshots gleaned from organisms ranked on an intuitive scale. Fisher’s geometric model of adaptation, which defines complexity as the number of phenotypes an organism exposes to natural selection, provides a theoretical framework to study complexity. -
CURRICULUM VITAE 1. Daniel Michael Weinreich Associate
CURRICULUM VITAE 1. Daniel Michael Weinreich Associate Professor of Biology Department of Ecology and Evolutionary Biology, and Center for Computational Molecular Biology Brown University Box G‐W300 Providence, RI 02912 Phone: (401)/863‐3937 Fax: (401)/863‐2166 email: [email protected] 2. Home Address Providence, RI 02903 3. Education 1992 – 1998 Ph.D. in Organismal and Evolutionary Biology (Richard Lewontin, advisor). Harvard University, Cambridge, Massachusetts. Thesis: The Molecular Clock and the Evolution of OXPHOS Enzymes in Mammals 1978 – 1983 B.S. in Computer and Communication Science, with highest honors (John H. Holland, advisor). University of Michigan, Ann Arbor, Michigan. 4. Professional Appointments 2007‐ Assistant Professor of Biology. Department of Ecology and Evolutionary Biology, and Center for Computational Molecular Biology, Brown University, Providence, RI. 2004 – 2006 Postdoctoral Research Associate with Daniel L. Hartl, Organismic and Evolutionary Biology Department, Harvard University, Cambridge, MA. 2000 – 2003 NIH National Research Service Award Postdoctoral Fellow. Sponsors: Dr. Lin Chao, Department of Ecology and Evolution, University of California at San Diego and Dr. Daniel L. Hartl, Organismic and Evolutionary Biology Department, Harvard University, Cambridge, MA. 1998 – 2000 Post‐doctoral Research Associate with Dr. David Rand, Department of Ecology and Evolutionary Biology, Brown University, Providence, RI. 1989 – 1992 Software Engineer, Proteon Corporation, Westborough, MA. 1983 – 1989 Software Engineer, Codex Corporation, Canton, MA. 5. Completed Publications July 13, 2013 1 a. Books/Monographs None b. Chapters in Books Cruzan, Mitchell and Daniel M. Weinreich. Adaptive Landscapes (in press, Brenner’s Encyclopedia of Genetics 2nd Edition, Elsevier Publishers, Amsterdam). Weinreich, Daniel M. (2010) Predicting molecular evolutionary trajectories in principle and in practice. -
Co-Infection Weakens Selection Against Epistatic Mutations in RNA Viruses
Copyright 2004 by the Genetics Society of America DOI: 10.1534/genetics.104.030205 Co-infection Weakens Selection Against Epistatic Mutations in RNA Viruses Re´my Froissart,*,1 Claus O. Wilke,†,‡ Rebecca Montville,* Susanna K. Remold,* Lin Chao§ and Paul E. Turner*,2 *Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06520, †Digital Life Laboratory 136-93, California Institute of Technology, Pasadena, California 91125, ‡Keck Graduate Institute, Claremont, California 91711 and §Section of Ecology, Behavior and Evolution, Division of Biology, University of California, San Diego, California 92093 Manuscript received April 9, 2004 Accepted for publication June 8, 2004 ABSTRACT Co-infection may be beneficial in large populations of viruses because it permits sexual exchange between viruses that is useful in combating the mutational load. This advantage of sex should be especially substantial when mutations interact through negative epistasis. In contrast, co-infection may be detrimental because it allows virus complementation, where inferior genotypes profit from superior virus products available within the cell. The RNA bacteriophage φ6 features a genome divided into three segments. Co-infection by multiple φ6 genotypes produces hybrids containing reassorted mixtures of the parental segments. We imposed a mutational load on φ6 populations by mixing the wild-type virus with three single mutants, each harboring a deleterious mutation on a different one of the three virus segments. We then contrasted the speed at which these epistatic mutations were removed from virus populations in the presence and absence of co-infection. If sex is a stronger force, we predicted that the load should be purged faster in the presence of co-infection. -
PAUL E. TURNER Elihu Professor of Ecology and Evolutionary Biology, Yale University
PAUL E. TURNER Elihu Professor of Ecology and Evolutionary Biology, Yale University ADDRESS Yale University Tel: (203) 432-5918 Department of Ecology & Evolutionary Biology Fax: (203) 432-5176 165 Prospect Street Email: [email protected] P.O. Box 208106 Website: http://turnerlab.yale.edu/ New Haven, CT 06520-8106 ORCID: orcid.org/0000-0003-3490-7498 RESEARCH INTERESTS Virus evolution; host-parasite interactions; evolution of infectious disease; evolution of antibiotic resistance; vector-virus interactions; robustness; virus applications especially phage therapy. EDUCATION 2000-2001 Intramural Research Training Award Postdoctoral Fellow (Advisor: Jeffrey Cohen) Laboratory of Clinical Investigation, National Institutes of Health 1999 National Science Foundation-NATO Postdoctoral Fellow (Advisor: Santiago Elena) Department of Genetics, University of Valencia, Spain 1995-1998 National Science Foundation Minority Postdoctoral Fellow (Advisor: Lin Chao) Department of Biology, University of Maryland, College Park 1991-1995 Michigan State University, East Lansing, Michigan Center for Microbial Ecology Ph.D. Zoology (December 1995), Certificate in Ecology & Evolution Advisor: Richard E. Lenski 1989-1991 University of California, Irvine, California Transfer (March 1991), Program in Ecology & Evolutionary Biology Advisor: Richard E. Lenski 1984-1988 University of Rochester, Rochester, New York B.A. Biological Sciences (May 1988) Undergraduate Advisor: John Jaenike PROFESSIONAL APPOINTMENTS 2019-present Chair of Biological Sciences Advisory Committee