Why an Extended Evolutionary Synthesis Is Necessary Rsfs.Royalsocietypublishing.Org Gerd B
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Modularity As a Concept Modern Ideas About Mental Modularity Typically Use Fodor (1983) As a Key Touchstone
COGNITIVE PROCESSING International Quarterly of Cognitive Science Mental modularity, metaphors, and the marriage of evolutionary and cognitive sciences GARY L. BRASE University of Missouri – Columbia Abstract - As evolutionary approaches in the behavioral sciences become increasingly prominent, issues arising from the proposition that the mind is a collection of modular adaptations (the multi-modular mind thesis) become even more pressing. One purpose of this paper is to help clarify some valid issues raised by this thesis and clarify why other issues are not as critical. An aspect of the cognitive sciences that appears to both promote and impair progress on this issue (in different ways) is the use of metaphors for understand- ing the mind. Utilizing different metaphors can yield different perspectives and advancement in our understanding of the nature of the human mind. A second purpose of this paper is to outline the kindred natures of cognitive science and evolutionary psychology, both of which cut across traditional academic divisions and engage in functional analyses of problems. Key words: Evolutionary Theory, Cognitive Science, Modularity, Metaphors Evolutionary approaches in the behavioral sciences have begun to influence a wide range of fields, from cognitive neuroscience (e.g., Gazzaniga, 1998), to clini- cal psychology (e.g., Baron-Cohen, 1997; McGuire and Troisi, 1998), to literary theory (e.g., Carroll, 1999). At the same time, however, there are ongoing debates about the details of what exactly an evolutionary approach – often called evolu- tionary psychology— entails (Holcomb, 2001). Some of these debates are based on confusions of terminology, implicit arguments, or misunderstandings – things that can in principle be resolved by clarifying current ideas. -
From Developmental Constraint to Evolvability
From Developmental Constraint to Evolvability How Concepts Figure in Explanation and Disciplinary Identity Ingo Brigandt Department of Philosophy, University of Alberta 2-40 Assiniboia Hall, Edmonton, AB T6G2E7, Canada [email protected] Abstract The concept of developmental constraint was at the heart of develop- mental approaches to evolution of the 1980s. While this idea was widely used to criticize neo-Darwinian evolutionary theory, critique does not yield an alternative framework that offers evolutionary explanations. In current Evo-devo the concept of constraint is of minor importance, whereas notions as evolvability are at the center of attention. The latter clearly defines an explanatory agenda for evolution- ary research, so that one could view the historical shift from ‘developmental con- straint’ towards ‘evolvability’ as the move from a concept that is a mere tool of criticism to a concept that establishes a positive explanatory project. However, by taking a look at how the concept of constraint was employed in the 1980s, I argue that developmental constraint was not just seen as restricting possibilities (‘con- straining’), but also as facilitating morphological change in several ways. Ac- counting for macroevolutionary transformation and the origin of novel form was an aim of these developmental approaches to evolution. Thus, the concept of de- velopmental constraint was part of a positive explanatory agenda long before the advent of Evo-devo as a genuine scientific discipline. In the 1980s, despite the lack of a clear disciplinary identity, this concept coordinated research among pale- ontologists, morphologists, and developmentally inclined evolutionary biologists. I discuss the different functions that scientific concepts can have, highlighting that instead of classifying or explaining natural phenomena, concepts such as ‘devel- opmental constraint’ and ‘evolvability’ are more important in setting explanatory agendas so as to provide intellectual coherence to scientific approaches. -
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. -
Toward an Extended Evolutionary Synthesis 10-13 July 2008
18th Altenberg Workshop in Theoretical Biology 2008 Toward an Extended Evolutionary Synthesis 10-13 July 2008 organized by Massimo Pigliucci and Gerd B. Müller Konrad Lorenz Institute for Evolution and Cognition Research Altenberg, Austria The topic More than 60 years have passed since the conceptual integration of several strands of evolutionary theory into what has come to be called the Modern Synthesis. Despite major advances since, in all methodological and disciplinary domains of biology, the Modern Synthesis framework has remained surprisingly static and is still regarded as the standard theoretical paradigm of evolutionary biology. But for some time now there have been calls for an expansion of the Synthesis framework through the integration of more recent achievements in evolutionary theory. The challenge for the present workshop is clear: How do we make sense, conceptually, of the astounding advances in biology since the 1940s, when the Modern Synthesis was taking shape? Not only have we witnessed the molecular revolution, from the discovery of the structure of DNA to the genomic era, we are also grappling with the increasing feeling – as reflected, for example, by the proliferation of “-omics” (proteomics, metabolomics, “interactomics,” and even “phenomics”) – that we just don't have the theoretical and analytical tools necessary to make sense of the bewildering diversity and complexity of living organisms. By contrast, in organismal biology, a number of new approaches have opened up new theoretical horizons, with new possibilities -
On the Interaction of Function, Constraint and Complexity in Evolutionary Systems
UNIVERSITY OF SOUTHAMPTON FACULTY OF PHYSICAL SCIENCES AND ENGINEERING ELECTRONICS AND COMPUTER SCIENCE Volume 1 of 1 On The Interaction Of Function, Constraint And Complexity In Evolutionary Systems by Adam Paul Davies Thesis for the degree of Doctor of Philosophy April 2014 UNIVERSITY OF SOUTHAMPTON ABSTRACT FACULTY OF PHYSICAL SCIENCES AND ENGINEERING Electronics and Computer Science Doctor of Philosophy ON THE INTERACTION OF FUNCTION, CONSTRAINT AND COMPLEXITY IN EVOLUTIONARY SYSTEMS by Adam Paul Davies Biological evolution contains a general trend of increasing complexity of the most complex organisms. But artificial evolution experiments based on the mechanisms described in the current theory generally fail to reproduce this trend; instead, they commonly show systematic trends of complexity minimisation. In this dissertation we seek evolutionary mechanisms that can explain these apparently conflicting observations. To achieve this we use a reverse engineering approach by building computational simulations of evolution. One highlighted problem is that even if complexity is beneficial, evolutionary simulations struggle with apparent roadblocks that prevent them from scaling to complexity. Another is that even without roadblocks, it is not clear what drives evolution to become more complex at all. With respect to the former, a key roadblock is how to evolve ‘irreducibly complex’ or ‘non- decomposable’ functions. Evidence from biological evolution suggests a common way to achieve this is by combining existing functions – termed ‘tinkering’ or ‘building block evolution’. But in simulation this approach generally fails to scale across multiple levels of organisation in a recursive manner. We provide a model that identifies the problem hindering recursive evolution as increasing ‘burden’ in the form of ‘internal selection’ as joined functions become more complex. -
Why Call It Developmental Bias When It Is Just Development? Isaac Salazar-Ciudad1,2,3
Salazar-Ciudad Biology Direct (2021) 16:3 https://doi.org/10.1186/s13062-020-00289-w OPINION Open Access Why call it developmental bias when it is just development? Isaac Salazar-Ciudad1,2,3 Abstract The concept of developmental constraints has been central to understand the role of development in morphological evolution. Developmental constraints are classically defined as biases imposed by development on the distribution of morphological variation. This opinion article argues that the concepts of developmental constraints and developmental biases do not accurately represent the role of development in evolution. The concept of developmental constraints was coined to oppose the view that natural selection is all-capable and to highlight the importance of development for understanding evolution. In the modern synthesis, natural selection was seen as the main factor determining the direction of morphological evolution. For that to be the case, morphological variation needs to be isotropic (i.e. equally possible in all directions). The proponents of the developmental constraint concept argued that development makes that some morphological variation is more likely than other (i.e. variation is not isotropic), and that, thus, development constraints evolution by precluding natural selection from being all-capable. This article adds to the idea that development is not compatible with the isotropic expectation by arguing that, in fact, it could not be otherwise: there is no actual reason to expect that development could lead to isotropic morphological variation. It is then argued that, since the isotropic expectation is untenable, the role of development in evolution should not be understood as a departure from such an expectation. -
Microevolution and the Genetics of Populations Microevolution Refers to Varieties Within a Given Type
Chapter 8: Evolution Lesson 8.3: Microevolution and the Genetics of Populations Microevolution refers to varieties within a given type. Change happens within a group, but the descendant is clearly of the same type as the ancestor. This might better be called variation, or adaptation, but the changes are "horizontal" in effect, not "vertical." Such changes might be accomplished by "natural selection," in which a trait within the present variety is selected as the best for a given set of conditions, or accomplished by "artificial selection," such as when dog breeders produce a new breed of dog. Lesson Objectives ● Distinguish what is microevolution and how it affects changes in populations. ● Define gene pool, and explain how to calculate allele frequencies. ● State the Hardy-Weinberg theorem ● Identify the five forces of evolution. Vocabulary ● adaptive radiation ● gene pool ● migration ● allele frequency ● genetic drift ● mutation ● artificial selection ● Hardy-Weinberg theorem ● natural selection ● directional selection ● macroevolution ● population genetics ● disruptive selection ● microevolution ● stabilizing selection ● gene flow Introduction Darwin knew that heritable variations are needed for evolution to occur. However, he knew nothing about Mendel’s laws of genetics. Mendel’s laws were rediscovered in the early 1900s. Only then could scientists fully understand the process of evolution. Microevolution is how individual traits within a population change over time. In order for a population to change, some things must be assumed to be true. In other words, there must be some sort of process happening that causes microevolution. The five ways alleles within a population change over time are natural selection, migration (gene flow), mating, mutations, or genetic drift. -
A Role for Genetic Accommodation in Evolution? Christian Braendle1* and Thomas Flatt2
What the papers say A role for genetic accommodation in evolution? Christian Braendle1* and Thomas Flatt2 Summary lowered. Third, selection in the presence of the environmental Whether evolutionary change can occur by genetic factor enriches the previously cryptic alleles determining assimilation, or more generally by genetic accommoda- tion, remains controversial. Here we examine some of the the trait. Eventually, these alleles become so frequent that experimental evidence for both phenomena. Several the expression of the trait overcomes the higher threshold in experiments in Drosophila suggest that assimilation is the absence of the environmental stimulus.(9,20) Thus, genetic (1) possible, and a new paper shows that a color poly- assimilation transforms an environmentally induced (pheno- phenism in the tobacco hornworm, Manduca sexta, can typically plastic) trait into a phenotype which is stably evolve by genetic accommodation. We argue that genetic accommodation, including assimilation, is a plausible expressed without the eliciting environmental stimulus: the mechanism in evolution; however, more work is required genetically assimilated phenotype is no longer plastic, but to test how this mechanism acts and how often it is exhibits a genetically fixed response independent of the involved in evolutionary change. BioEssays 28:868– environmental conditions,(2,9,14,16) a phenomenon called 873, 2006. ß 2006 Wiley Periodicals, Inc. canalization.(20) Genetic assimilation is a special case of a more general Genetic assimilation and accommodation phenomenon, called genetic accommodation, most promi- (2–9) Whether the processes of genetic assimilation and nently proposed by Mary Jane West-Eberhard in 2003.(10) This (1,10) accommodation can explain evolutionary change and scenario of phenotypic evolution posits that (1) a mutation or phenotypic novelty is a controversial issue among evolutionary environmental change triggers the expression of a novel, herit- biologists (for example Refs 11–16). -
The Impact of Component Modularity on Design Evolution: Evidence from the Software Industry
08-038 The Impact of Component Modularity on Design Evolution: Evidence from the Software Industry Alan MacCormack John Rusnak Carliss Baldwin Copyright © 2007 by Alan MacCormack, John Rusnak, and Carliss Baldwin. Working papers are in draft form. This working paper is distributed for purposes of comment and discussion only. It may not be reproduced without permission of the copyright holder. Copies of working papers are available from the author. Abstract Much academic work asserts a relationship between the design of a complex system and the manner in which this system evolves over time. In particular, designs which are modular in nature are argued to be more “evolvable,” in that these designs facilitate making future adaptations, the nature of which do not have to be specified in advance. In essence, modularity creates “option value” with respect to new and improved designs, which is particularly important when a system must meet uncertain future demands. Despite the conceptual appeal of this research, empirical work exploring the relationship between modularity and evolution has had limited success. Three major challenges persist: first, it is difficult to measure modularity in a robust and repeatable fashion; second, modularity is a property of individual components, not systems as a whole, hence we must examine these dynamics at the microstructure level; and third, evolution is a temporal phenomenon, in that the conditions at time t affect the nature of the design at time t+1, hence exploring this phenomenon requires longitudinal data. In this paper, we tackle these challenges by analyzing the evolution of a successful commercial software product over its entire lifetime, comprising six major “releases.” In particular, we develop measures of modularity at the component level, and use these to predict patterns of evolution between successive versions of the design. -
Phenotypic Plasticity Vs. Microevolution in Relation to Climate Change Noticeable Impacts of Climate Change Phenotypic Plasticit
6/6/14 Phenotypic Plasticity vs. Microevolution in Relation to Climate Change By Elizabeth Berry, Alex Lefort, Andy Tran, and Maya Vrba (EPA, 2013) Noticeable Impacts of Climate Change Phenotypic Plasticity vs Microevolution !! Canadian Squirrel: earlier breeding !! Phenotypic Plasticity: The ability of a genotype to produce different phenotypes in different environments (Charmantier & Gienapp 2013) !! American Mosquito: changes in dormancy !! Microevolution: Evolution in a small scale-within a single population (UC Museum of Paleontology 2008) !! Field Mustard plant: early blooming times !! Distinction: Phenotypic Plasticity acts on individuals, Microevolution acts on populations. !! Drosophila melanogaster: changes in gene flow !! Norm of Reaction: The range of phenotypic variation available to a given genotype that can change based on the environment. University of California Museum of Paleontology, 2008 European Great Tit: Parus major European Blackcap: Sylvia atricapilla !! Breeding times are evolving earlier in females to account for !! ADCYAP1: gene that controls the Climate Change. expression of migratory behavior !! Phenotypic Plasticity evident in (Mueller et al., 2011) laying times. !! Migratory activity is heritable and population-specific (Berthold & !! Some females having more flexible laying dates. Pulido 1994) ! Climate change causes evolving !! Success of offspring dependent ! on breeding times and caterpillar migratory patterns (Berthold & biomass coinciding, Pulido 1994) Jerry Nicholls and BBC, 2014 University of California -
Degeneracy and Genetic Assimilation in RNA Evolution Reza Rezazadegan1* and Christian Reidys1,2
Rezazadegan and Reidys BMC Bioinformatics (2018) 19:543 https://doi.org/10.1186/s12859-018-2497-3 RESEARCH ARTICLE Open Access Degeneracy and genetic assimilation in RNA evolution Reza Rezazadegan1* and Christian Reidys1,2 Abstract Background: The neutral theory of Motoo Kimura stipulates that evolution is mostly driven by neutral mutations. However adaptive pressure eventually leads to changes in phenotype that involve non-neutral mutations. The relation between neutrality and adaptation has been studied in the context of RNA before and here we further study transitional mutations in the context of degenerate (plastic) RNA sequences and genetic assimilation. We propose quasineutral mutations, i.e. mutations which preserve an element of the phenotype set, as minimal mutations and study their properties. We also propose a general probabilistic interpretation of genetic assimilation and specialize it to the Boltzmann ensemble of RNA sequences. Results: We show that degenerate sequences i.e. sequences with more than one structure at the MFE level have the highest evolvability among all sequences and are central to evolutionary innovation. Degenerate sequences also tend to cluster together in the sequence space. The selective pressure in an evolutionary simulation causes the population to move towards regions with more degenerate sequences, i.e. regions at the intersection of different neutral networks, and this causes the number of such sequences to increase well beyond the average percentage of degenerate sequences in the sequence space. We also observe that evolution by quasineutral mutations tends to conserve the number of base pairs in structures and thereby maintains structural integrity even in the presence of pressure to the contrary. -
Emanuele Serrelli Nathalie Gontier Editors Explanation, Interpretation
Interdisciplinary Evolution Research 2 Emanuele Serrelli Nathalie Gontier Editors Macroevolution Explanation, Interpretation and Evidence Interdisciplinary Evolution Research Volume 2 Series editors Nathalie Gontier, Lisbon, Portugal Olga Pombo, Lisbon, Portugal [email protected] About the Series The time when only biologists studied evolution has long since passed. Accepting evolution requires us to come to terms with the fact that everything that exists must be the outcome of evolutionary processes. Today, a wide variety of academic disciplines are therefore confronted with evolutionary problems, ranging from physics and medicine, to linguistics, anthropology and sociology. Solving evolutionary problems also necessitates an inter- and transdisciplinary approach, which is why the Modern Synthesis is currently extended to include drift theory, symbiogenesis, lateral gene transfer, hybridization, epigenetics and punctuated equilibria theory. The series Interdisciplinary Evolution Research aims to provide a scholarly platform for the growing demand to examine specific evolutionary problems from the perspectives of multiple disciplines. It does not adhere to one specific academic field, one specific school of thought, or one specific evolutionary theory. Rather, books in the series thematically analyze how a variety of evolutionary fields and evolutionary theories provide insights into specific, well-defined evolutionary problems of life and the socio-cultural domain. Editors-in-chief of the series are Nathalie Gontier and Olga Pombo. The