Canalization in Evolutionary Genetics: a Stabilizing Theory?
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B. M ü ller, G ü nter P. Wagner, and Werner Callebaut, editors The Evolution of Cognition , edited by Cecilia Heyes and Ludwig Huber, 2000 Origination of Organismal Form: Beyond the Gene in Development and Evolutionary Biology , edited by Gerd B. M ü ller and Stuart A. Newman, 2003 Environment, Development, and Evolution: Toward a Synthesis , edited by Brian K. Hall, Roy D. Pearson, and Gerd B. M ü ller, 2004 Evolution of Communication Systems: A Comparative Approach , edited by D. Kimbrough Oller and Ulrike Griebel, 2004 Modularity: Understanding the Development and Evolution of Natural Complex Systems , edited by Werner Callebaut and Diego Rasskin-Gutman, 2005 Compositional Evolution: The Impact of Sex, Symbiosis, and Modularity on the Gradualist Framework of Evolution , by Richard A. Watson, 2006 Biological Emergences: Evolution by Natural Experiment , by Robert G. B. Reid, 2007 Modeling Biology: Structure, Behaviors, Evolution , edited by Manfred D. Laubichler and Gerd B. M ü ller, 2007 Evolution of Communicative Flexibility: Complexity, Creativity, and Adaptability in Human and Animal Communication , edited by Kimbrough D. Oller and Ulrike Griebel, 2008 Functions in Biological and Artifi cial Worlds: Comparative Philosophical Perspectives , edited by Ulrich Krohs and Peter Kroes, 2009 Cognitive Biology: Evolutionary and Developmental Perspectives on Mind, Brain, and Behavior , edited by Luca Tommasi, Mary A. Peterson, and Lynn Nadel, 2009 Innovation in Cultural Systems: Contributions from Evolutionary Anthropology , edited by Michael J. O ’ Brien and Stephen J. Shennan, 2010 The Major Transitions in Evolution Revisited , edited by Brett Calcott and Kim Sterelny, 2011 Transformations of Lamarckism: From Subtle Fluids to Molecular Biology , edited by Snait B. -
Evolving Neural Networks That Are Both Modular and Regular: Hyperneat Plus the Connection Cost Technique Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune
Evolving Neural Networks That Are Both Modular and Regular: HyperNeat Plus the Connection Cost Technique Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune To cite this version: Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune. Evolving Neural Networks That Are Both Modular and Regular: HyperNeat Plus the Connection Cost Technique. GECCO ’14: Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation, ACM, 2014, Vancouver, Canada. pp.697-704. hal-01300699 HAL Id: hal-01300699 https://hal.archives-ouvertes.fr/hal-01300699 Submitted on 11 Apr 2016 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. To appear in: Proceedings of the Genetic and Evolutionary Computation Conference. 2014 Evolving Neural Networks That Are Both Modular and Regular: HyperNeat Plus the Connection Cost Technique Joost Huizinga Jean-Baptiste Mouret Jeff Clune Evolving AI Lab ISIR, Université Pierre et Evolving AI Lab Department of Computer Marie Curie-Paris 6 Department of Computer Science CNRS UMR 7222 Science University of Wyoming Paris, France University of Wyoming [email protected] [email protected] [email protected] ABSTRACT 1. INTRODUCTION One of humanity’s grand scientific challenges is to create ar- An open and ambitious question in the field of evolution- tificially intelligent robots that rival natural animals in intel- ary robotics is how to produce robots that possess the intel- ligence and agility. -
The Polyp and the Medusa Life on the Move
The Polyp and the Medusa Life on the Move Millions of years ago, unlikely pioneers sparked a revolution. Cnidarians set animal life in motion. So much of what we take for granted today began with Cnidarians. FROM SHAPE OF LIFE The Polyp and the Medusa Life on the Move Take a moment to follow these instructions: Raise your right hand in front of your eyes. Make a fist. Make the peace sign with your first and second fingers. Make a fist again. Open your hand. Read the next paragraph. What you just did was exhibit a trait we associate with all animals, a trait called, quite simply, movement. And not only did you just move your hand, but you moved it after passing the idea of movement through your brain and nerve cells to command the muscles in your hand to obey. To do this, your body needs muscles to move and nerves to transmit and coordinate movement, whether voluntary or involuntary. The bit of business involved in making fists and peace signs is pretty complex behavior, but it pales by comparison with the suites of thought and movement associated with throwing a curve ball, walking, swimming, dancing, breathing, landing an airplane, running down prey, or fleeing a predator. But whether by thought or instinct, you and all animals except sponges have the ability to move and to carry out complex sequences of movement called behavior. In fact, movement is such a basic part of being an animal that we tend to define animalness as having the ability to move and behave. -
High Heritability of Telomere Length, but Low Evolvability, and No Significant
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.16.423128; this version posted December 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 High heritability of telomere length, but low evolvability, and no significant 2 heritability of telomere shortening in wild jackdaws 3 4 Christina Bauch1*, Jelle J. Boonekamp1,2, Peter Korsten3, Ellis Mulder1, Simon Verhulst1 5 6 Affiliations: 7 1 Groningen Institute for Evolutionary Life Sciences, University of Groningen, Nijenborgh 7, 8 9747AG Groningen, The Netherlands 9 2 present address: Institute of Biodiversity Animal Health & Comparative Medicine, College 10 of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United 11 Kingdom 12 3 Department of Animal Behaviour, Bielefeld University, Morgenbreede 45, 33615 Bielefeld, 13 Germany 14 15 16 * Correspondence to: 17 [email protected] 18 19 Running head: High heritability of telomere length bioRxiv preprint doi: https://doi.org/10.1101/2020.12.16.423128; this version posted December 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 20 Abstract 21 Telomere length (TL) and shortening rate predict survival in many organisms. Evolutionary 22 dynamics of TL in response to survival selection depend on the presence of genetic variation 23 that selection can act upon. However, the amount of standing genetic variation is poorly known 24 for both TL and TL shortening rate, and has not been studied for both traits in combination in 25 a wild vertebrate. -
Animal Origins and the Evolution of Body Plans 621
Animal Origins and the Evolution 32 of Body Plans In 1822, nearly forty years before Darwin wrote The Origin of Species, a French naturalist, Étienne Geoffroy Saint-Hilaire, was examining a lob- ster. He noticed that when he turned the lobster upside down and viewed it with its ventral surface up, its central nervous system was located above its digestive tract, which in turn was located above its heart—the same relative positions these systems have in mammals when viewed dorsally. His observations led Geoffroy to conclude that the differences between arthropods (such as lobsters) and vertebrates (such as mammals) could be explained if the embryos of one of those groups were inverted during development. Geoffroy’s suggestion was regarded as preposterous at the time and was largely dismissed until recently. However, the discovery of two genes that influence a sys- tem of extracellular signals involved in development has lent new support to Geof- froy’s seemingly outrageous hypothesis. Genes that Control Development A A vertebrate gene called chordin helps to establish cells on one side of the embryo human and a lobster carry similar genes that control the development of the body as dorsal and on the other as ventral. A probably homologous gene in fruit flies, called axis, but these genes position their body sog, acts in a similar manner, but has the opposite effect. Fly cells where sog is active systems inversely. A lobster’s nervous sys- become ventral, whereas vertebrate cells where chordin is active become dorsal. How- tem runs up its ventral (belly) surface, whereas a vertebrate’s runs down its dorsal ever, when sog mRNA is injected into an embryo (back) surface. -
Giraffe Stature and Neck Elongation: Vigilance As an Evolutionary Mechanism
biology Review Giraffe Stature and Neck Elongation: Vigilance as an Evolutionary Mechanism Edgar M. Williams Faculty of Life Sciences and Education, University of South Wales, Wales CF37 1DL, UK; [email protected]; Tel.: +44-1443-483-893 Academic Editor: Chris O’Callaghan Received: 1 August 2016; Accepted: 7 September 2016; Published: 12 September 2016 Abstract: Giraffe (Giraffa camelopardalis), with their long neck and legs, are unique amongst mammals. How these features evolved is a matter of conjecture. The two leading ideas are the high browse and the sexual-selection hypotheses. While both explain many of the characteristics and the behaviour of giraffe, neither is fully supported by the available evidence. The extended viewing horizon afforded by increased height and a need to maintain horizon vigilance, as a mechanism favouring the evolution of increased height is reviewed. In giraffe, vigilance of predators whilst feeding and drinking are important survival factors, as is the ability to interact with immediate herd members, young and male suitors. The evidence regarding giraffe vigilance behaviour is sparse and suggests that over-vigilance has a negative cost, serving as a distraction to feeding. In woodland savannah, increased height allows giraffe to see further, allowing each giraffe to increase the distance between its neighbours while browsing. Increased height allows the giraffe to see the early approach of predators, as well as bull males. It is postulated that the wider panorama afforded by an increase in height and longer neck has improved survival via allowing giraffe to browse safely over wider areas, decreasing competition within groups and with other herbivores. -
12 Evolvability of Real Functions
i i i i Evolvability of Real Functions PAUL VALIANT , Brown University We formulate a notion of evolvability for functions with domain and range that are real-valued vectors, a compelling way of expressing many natural biological processes. We show that linear and fixed-degree polynomial functions are evolvable in the following dually-robust sense: There is a single evolution algorithm that, for all convex loss functions, converges for all distributions. It is possible that such dually-robust results can be achieved by simpler and more-natural evolution algorithms. Towards this end, we introduce a simple and natural algorithm that we call wide-scale random noise and prove a corresponding result for the L2 metric. We conjecture that the algorithm works for a more general class of metrics. 12 Categories and Subject Descriptors: F.1.1 [Computation by Abstract Devices]: Models of Computa- tion—Self-modifying machines; G.1.6 [Numerical Analysis]: Optimization—Convex programming; I.2.6 [Artificial Intelligence]: Learning—Concept learning;J.3[Computer Applications]: Life and Medical Sciences—Biology and genetics General Terms: Algorithms, Theory Additional Key Words and Phrases: Evolvability, optimization ACM Reference Format: Valiant, P. 2014. Evolvability of real functions. ACM Trans. Comput. Theory 6, 3, Article 12 (July 2014), 19 pages. DOI:http://dx.doi.org/10.1145/2633598 1. INTRODUCTION Since Darwin first assembled the empirical facts that pointed to evolution as the source of the hugely diverse and yet finely honed mechanisms of life, there has been the mys- tery of how the biochemical mechanisms of evolution (indeed, how any mechanism) can apparently consistently succeed at finding innovative solutions to the unexpected problems of life. -
The Genetic Architecture of Economic and Political Preferences
1 The Genetic Architecture of Economic and Political Preferences Daniel J. Benjamin1*, David Cesarini2, Matthijs J.H.M. van der Loos3, Christopher T. Dawes4, Philipp D. Koellinger3, Patrik K.E. Magnusson5, Christopher F. Chabris6, Dalton Conley7, David Laibson8, Magnus Johannesson9, and Peter M. Visscher10 1Department of Economics, Cornell University, 480 Uris Hall, Ithaca, NY 14853, USA. 2Center for Experimental Social Science, Department of Economics, New York University, 19 W. 4th Street, New York, NY 10012, USA. 3 Department of Applied Economics, Erasmus Universiteit Rotterdam, Post Box 1738, 3000 DR Rotterdam, Netherlands. 4 Department of Politics, New York University, 19 W. 4th Street, New York, NY 10012, USA. 5 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE- 171 77 Stockholm, Sweden. 6 Department of Psychology, Union College, 807 Union Street, Schenectady, NY 12308, USA. 7 Department of Sociology, New York University, Department of Sociology, New York University, 295 Lafayette Street, 4th floor, New York, NY 10012, USA. 8 Department of Economics, Harvard University, Littauer Center, 1805 Cambridge Street, Cambridge, MA 02138, USA. 9 Department of Economics, Stockholm School of Economics, Box 6501, SE-113 83 Stockholm, Sweden. 10 University of Queensland Diamantina Institute, Level 4, R Wing, Princess Alexandra Hospital, Ipswich Road, Woolloongabba 4102, Australia. Classification: Social Sciences; Economic Sciences; Social Sciences; Political Sciences; Biological Sciences; Genetics. Manuscript information: 12 text pages, 1 Figure, 2 Tables. *To whom correspondence should be addressed: phone: +1 607 255 2355. E-mail: [email protected]. 2 Abstract: Preferences are fundamental constructs in all models of economic and political behavior and important precursors to many lifetime outcomes. -
The Cambrian Explosion: a Big Bang in the Evolution of Animals
The Cambrian Explosion A Big Bang in the Evolution of Animals Very suddenly, and at about the same horizon the world over, life showed up in the rocks with a bang. For most of Earth’s early history, there simply was no fossil record. Only recently have we come to discover otherwise: Life is virtually as old as the planet itself, and even the most ancient sedimentary rocks have yielded fossilized remains of primitive forms of life. NILES ELDREDGE, LIFE PULSE, EPISODES FROM THE STORY OF THE FOSSIL RECORD The Cambrian Explosion: A Big Bang in the Evolution of Animals Our home planet coalesced into a sphere about four-and-a-half-billion years ago, acquired water and carbon about four billion years ago, and less than a billion years later, according to microscopic fossils, organic cells began to show up in that inert matter. Single-celled life had begun. Single cells dominated life on the planet for billions of years before multicellular animals appeared. Fossils from 635,000 million years ago reveal fats that today are only produced by sponges. These biomarkers may be the earliest evidence of multi-cellular animals. Soon after we can see the shadowy impressions of more complex fans and jellies and things with no names that show that animal life was in an experimental phase (called the Ediacran period). Then suddenly, in the relatively short span of about twenty million years (given the usual pace of geologic time), life exploded in a radiation of abundance and diversity that contained the body plans of almost all the animals we know today. -
Defining Phyla: Evolutionary Pathways to Metazoan Body Plans
EVOLUTION & DEVELOPMENT 3:6, 432-442 (2001) Defining phyla: evolutionary pathways to metazoan body plans Allen G. Collins^ and James W. Valentine* Museum of Paleontology and Department of Integrative Biology, University of California, Berkeley, CA 94720, USA 'Author for correspondence (email: [email protected]) 'Present address: Section of Ecology, Befiavior, and Evolution, Division of Biology, University of California, San Diego, La Jolla, CA 92093-0116, USA SUMMARY Phyla are defined by two sets of criteria, one pothesis of Nielsen; the clonal hypothesis of Dewel; the set- morphological and the other historical. Molecular evidence aside cell hypothesis of Davidson et al.; and a benthic hy- permits the grouping of animals into clades and suggests that pothesis suggested by the fossil record. It is concluded that a some groups widely recognized as phyla are paraphyletic, benthic radiation of animals could have supplied the ances- while some may be polyphyletic; the phyletic status of crown tral lineages of all but a few phyla, is consistent with molecu- phyla is tabulated. Four recent evolutionary scenarios for the lar evidence, accords well with fossil evidence, and accounts origins of metazoan phyla and of supraphyletic clades are as- for some of the difficulties in phylogenetic analyses of phyla sessed in the light of a molecular phylogeny: the trochaea hy- based on morphological criteria. INTRODUCTION Molecules have provided an important operational ad- vance to addressing questions about the origins of animal Concepts of animal phyla have changed importantly from phyla. Molecular developmental and comparative genomic their origins in the six Linnaean classis and four Cuvieran evidence offer insights into the genetic bases of body plan embranchements. -
The University of Chicago Epistasis, Contingency, And
THE UNIVERSITY OF CHICAGO EPISTASIS, CONTINGENCY, AND EVOLVABILITY IN THE SEQUENCE SPACE OF ANCIENT PROTEINS A DISSERTATION SUBMITTED TO THE FACULTY OF THE DIVISION OF THE BIOLOGICAL SCIENCES AND THE PRITZKER SCHOOL OF MEDICINE IN CANDIDACY FOR THE DEGREE OF DOCTOR OF PHILOSOPHY GRADUATE PROGRAM IN BIOCHEMISTRY AND MOLECULAR BIOPHYSICS BY TYLER NELSON STARR CHICAGO, ILLINOIS AUGUST 2018 Table of Contents List of Figures .................................................................................................................... iv List of Tables ..................................................................................................................... vi Acknowledgements ........................................................................................................... vii Abstract .............................................................................................................................. ix Chapter 1 Introduction ......................................................................................................1 1.1 Sequence space and protein evolution .............................................................1 1.2 Deep mutational scanning ................................................................................2 1.3 Epistasis ...........................................................................................................3 1.4 Chance and determinism ..................................................................................4 1.5 Evolvability ......................................................................................................6 -
Genetic Correlations Reveal the Shared Genetic Architecture of Transcription in Human Peripheral Blood
Hemani, G. (2017). Genetic correlations reveal the shared genetic architecture of transcription in human peripheral blood. Nature Communications, 8, [483]. https://doi.org/10.1038/s41467-017-00473- z Publisher's PDF, also known as Version of record License (if available): CC BY Link to published version (if available): 10.1038/s41467-017-00473-z Link to publication record in Explore Bristol Research PDF-document This is the final published version of the article (version of record). It first appeared online via Nature Publishing Group at https://www.nature.com/articles/s41467-017-00473-z . Please refer to any applicable terms of use of the publisher. University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ ARTICLE DOI: 10.1038/s41467-017-00473-z OPEN Genetic correlations reveal the shared genetic architecture of transcription in human peripheral blood Samuel W. Lukowski 1, Luke R. Lloyd-Jones1,2, Alexander Holloway2, Holger Kirsten3,4, Gibran Hemani 5,6, Jian Yang 1,2, Kerrin Small 7, Jing Zhao8, Andres Metspalu9, Emmanouil T. Dermitzakis10, Greg Gibson 8, Timothy D. Spector7, Joachim Thiery4,11, Markus Scholz 3,4, Grant W. Montgomery1,12, Tonu Esko 9, Peter M. Visscher 1,2 & Joseph E. Powell1,2 Transcript co-expression is regulated by a combination of shared genetic and environmental factors. Here, we estimate the proportion of co-expression that is due to shared genetic variance.