Defined Order of Evolutionary Adaptations: Experimental Evidence
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Natural Selection and Adaptation, Part I
Natural Selection and Adaptation, Part I 36-149 The Tree of Life Christopher R. Genovese Department of Statistics 132H Baker Hall x8-7836 http://www.stat.cmu.edu/~genovese/ . Plan • Review of Natural Selection • Detecting Natural Selection (discussion) • Examples of Observed Natural Selection ............................... Next Time: • Adaptive Traits • Methods for Reasoning about and studying adaptations • Explaining Complex Adaptations (discussion) 36-149 The Tree of Life Class #10 -1- Overview The theories of common descent and natural selection play different roles within the theory of evolution. Common Descent explains the unity of life. Natural Selection explains the diversity of life. An adaptation (or adaptive trait) is a feature of an organism that enhances reproductive success, relative to other possible variants, in a given environment. Adaptations become prevalent and are maintained in a population through natural selection. Indeed, natural selection is the only mechanism of evolutionary change that can satisfactorily explain adaptations. 36-149 The Tree of Life Class #10 -2- Darwin's Argument Darwin put forward two main arguments in support of natural selection: An analogical argument: Artificial selection A logical argument: The struggle for existence (As we will see later, we now have more than just argument in support of the theory.) 36-149 The Tree of Life Class #10 -3- The Analogical Argument: Artificial Selection 36-149 The Tree of Life Class #10 -4- The Analogical Argument: Artificial Selection 36-149 The Tree of Life Class #10 -5- The Analogical Argument: Artificial Selection Teosinte to Corn 36-149 The Tree of Life Class #10 -6- The Analogical Argument: Artificial Selection • Darwin was intimately familiar with the efforts of breeders in his day to produce novel varieties. -
1. Adaptation and the Evolution of Physiological Characters
Bennett, A. F. 1997. Adaptation and the evolution of physiological characters, pp. 3-16. In: Handbook of Physiology, Sect. 13: Comparative Physiology. W. H. Dantzler, ed. Oxford Univ. Press, New York. 1. Adaptation and the evolution of physiological characters Department of Ecology and Evolutionary Biology, University of California, ALBERT F. BENNETT 1 Irvine, California among the biological sciences (for example, behavioral CHAPTER CONTENTS science [I241). The Many meanings of "Adaptationn In general, comparative physiologists have been Criticisms of Adaptive Interpretations much more successful in, and have devoted much more Alternatives to Adaptive Explanations energy to, pursuing the former rather than the latter Historical inheritance goal (37). Most of this Handbook is devoted to an Developmentai pattern and constraint Physical and biomechanical correlation examination of mechanism-how various physiologi- Phenotypic size correlation cal systems function in various animals. Such compara- Genetic correlations tive studies are usually interpreted within a specific Chance fixation evolutionary context, that of adaptation. That is, or- Studying the Evolution of Physiological Characters ganisms are asserted to be designed in the ways they Macroevolutionary studies Microevolutionary studies are and to function in the ways they do because of Incorporating an Evolutionary Perspective into Physiological Studies natural selection which results in evolutionary change. The principal textbooks in the field (for example, refs. 33, 52, 102, 115) make explicit reference in their titles to the importance of adaptation to comparative COMPARATIVE PHYSIOLOGISTS HAVE TWO GOALS. The physiology, as did the last comparative section of this first is to explain mechanism, the study of how organ- Handbook (32). Adaptive evolutionary explanations isms are built functionally, "how animals work" (113). -
Evolutionary and Historical Biogeography of Animal Diversity Learning Objectives
Evolutionary and historical biogeography of animal diversity Learning objectives • The students can explain the common ancestor of animal kingdom. • The students can explain the historical biogeography of animal. • The students can explain the invasion of animal from aquatic to terrestrial habitat. • The students can explain the basic mechanism of speciation, allopatric and non-allopatric. The Common Ancestor of Animal Kingdom Characteristics of Animals • Animals or “metazoans” are typically heterotrophic, multicellular organisms with diploid, eukaryotic cells. • Trichoplax adhaerens is defined as an animal by the presence of different somatic (i.e., non-reproductive) cell types and by impermeable cell–cell connections. Trichoplax adhaerens Blackstone, 2009 Two Hypotheses for the Branching Order of Groups at the Root of the Metazoan Tree 1 2 The choanoflagellates serve as an outgroup in the Bilaterians are the sister group to the placozoan + analysis, and sponges are the sister group to the sponge + ctenophore + cnidarian clade, while placozoans placozoan + cnidarian + ctenophore + bilaterian are the sister group to the sponge + ctenophore + clade. cnidarian clade. Blackstone, 2009 Ancestry and evolution of animal–bacterial interactions • Choanoflagellates as the last common ancestor of animal kingdom. • Urmetazoan is the group of animal with multicellular and produce differentiated cell types (ex. Egg & sperm) R.A. Alegado & N. King, 2014 Conserved morphology and ultrastructure of Choanoflagellates and Sponge choanocytes The collar complex is conserved in choanoflagellates (A. S. rosetta) and sponge collar cells (B. Sycon coactum) flagellum (fL), microvilli (mv), a nucleus (nu), and a food vacuole (fv) Brunet & King, 2017 The Historical Biogeography of Animal Zoogeographic regions Old New Cox, 2001 Plate tectonic regulation of global marine animal diversity A. -
Comparative Evolution: Latent Potentials for Anagenetic Advance (Adaptive Shifts/Constraints/Anagenesis) G
Proc. Natl. Acad. Sci. USA Vol. 85, pp. 5141-5145, July 1988 Evolution Comparative evolution: Latent potentials for anagenetic advance (adaptive shifts/constraints/anagenesis) G. LEDYARD STEBBINS* AND DANIEL L. HARTLtt *Department of Genetics, University of California, Davis, CA 95616; and tDepartment of Genetics, Washington University School of Medicine, Box 8031, 660 South Euclid Avenue, Saint Louis, MO 63110 Contributed by G. Ledyard Stebbins, April 4, 1988 ABSTRACT One of the principles that has emerged from genetic variation available for evolutionary changes (2), a experimental evolutionary studies of microorganisms is that major concern of modem evolutionists is explaining how the polymorphic alleles or new mutations can sometimes possess a vast amount of genetic variation that actually exists can be latent potential to respond to selection in different environ- maintained. Given the fact that in complex higher organisms ments, although the alleles may be functionally equivalent or most new mutations with visible effects on phenotype are disfavored under typical conditions. We suggest that such deleterious, many biologists, particularly Kimura (3), have responses to selection in microorganisms serve as experimental sought to solve the problem by proposing that much genetic models of evolutionary advances that occur over much longer variation is selectively neutral or nearly so, at least at the periods of time in higher organisms. We propose as a general molecular level. Amidst a background of what may be largely evolutionary principle that anagenic advances often come from neutral or nearly neutral genetic variation, adaptive evolution capitalizing on preexisting latent selection potentials in the nevertheless occurs. While much of natural selection at the presence of novel ecological opportunity. -
Reducing Risks Through Adaptation Actions | Fourth National Climate
Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume II 28 Reducing Risks Through Adaptation Actions Federal Coordinating Lead Authors Review Editor Jeffrey Arnold Mary Ann Lazarus U.S. Army Corps of Engineers Cameron MacAllister Group Roger Pulwarty National Oceanic and Atmospheric Administration Chapter Lead Robert Lempert RAND Corporation Chapter Authors Kate Gordon Paulson Institute Katherine Greig Wharton Risk Management and Decision Processes Center at University of Pennsylvania (formerly New York City Mayor’s Office of Recovery and Resiliency) Cat Hawkins Hoffman National Park Service Dale Sands Village of Deer Park, Illinois Caitlin Werrell The Center for Climate and Security Technical Contributors are listed at the end of the chapter. Recommended Citation for Chapter Lempert, R., J. Arnold, R. Pulwarty, K. Gordon, K. Greig, C. Hawkins Hoffman, D. Sands, and C. Werrell, 2018: Reducing Risks Through Adaptation Actions. In Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume II [Reidmiller, D.R., C.W. Avery, D.R. Easterling, K.E. Kunkel, K.L.M. Lewis, T.K. Maycock, and B.C. Stewart (eds.)]. U.S. Global Change Research Program, Washington, DC, USA, pp. 1309–1345. doi: 10.7930/NCA4.2018.CH28 On the Web: https://nca2018.globalchange.gov/chapter/adaptation Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume II 28 Reducing Risks Through Adaptation Actions Key Message 1 Seawall surrounding Kivalina, Alaska Adaptation Implementation Is Increasing Adaptation planning and implementation activities are occurring across the United States in the public, private, and nonprofit sectors. Since the Third National Climate Assessment, implementation has increased but is not yet commonplace. -
Experimental Evolution
Heredity (2008) 100, 441–442 & 2008 Nature Publishing Group All rights reserved 0018-067X/08 $30.00 www.nature.com/hdy EDITORIAL Experimental evolution Heredity (2008) 100, 441–442; doi:10.1038/hdy.2008.19 and their interactions, it should be possible to predict which genes will be altered, how they will be altered and in what order, in any defined environment. Our under- Microcosms are used in ecology and evolution to shrink standing of cell biology is as yet wholly inadequate for space and time to manageable scales. They have never the task, but the smaller genomes of viruses might be been extensively used in ecology, because many ecolo- more accessible. Bull and Molineux describe the most gists doubt that any important features of large complex ambitious attempts to date in pursuit of this grail, using systems, such as lakes, can be profitably investigated in phage T7 of E. coli. Given the detailed knowledge of T7 small chambers or vials (Carpenter, 1996). Consequently, genetics, it should be possible to introduce a specific ecology lacks any generally accepted model system genetic lesion and then predict what compensatory to facilitate the cumulative growth of understanding of mutations will be fixed so as to restore the lost function. how communities work. Evolutionary biologists have In many cases, these mutations were correctly identified been less skeptical, and at least three major schools and for very simple genomes, at least, a nearly complete have adopted microcosm methods. Perhaps the best understanding of adaptation seems to be within grasp. known is the extensive exploration of the effects of artificial selection in Drosophila (and to a lesser extent in At the same time, both Ferenci and Bull and Molineux other organisms, such as mice). -
Molecular Evolution
An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Molecular Evolution An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Outline • Evolutionary Tree Reconstruction • “Out of Africa” hypothesis • Did we evolve from Neanderthals? • Distance Based Phylogeny • Neighbor Joining Algorithm • Additive Phylogeny • Least Squares Distance Phylogeny • UPGMA • Character Based Phylogeny • Small Parsimony Problem • Fitch and Sankoff Algorithms • Large Parsimony Problem • Evolution of Wings • HIV Evolution • Evolution of Human Repeats An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Early Evolutionary Studies • Anatomical features were the dominant criteria used to derive evolutionary relationships between species since Darwin till early 1960s • The evolutionary relationships derived from these relatively subjective observations were often inconclusive. Some of them were later proved incorrect An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Evolution and DNA Analysis: the Giant Panda Riddle • For roughly 100 years scientists were unable to figure out which family the giant panda belongs to • Giant pandas look like bears but have features that are unusual for bears and typical for raccoons, e.g., they do not hibernate • In 1985, Steven O’Brien and colleagues solved the giant panda classification problem using DNA sequences and algorithms An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Evolutionary Tree of Bears and Raccoons An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Evolutionary Trees: DNA-based Approach • 40 years ago: Emile Zuckerkandl and Linus Pauling brought reconstructing evolutionary relationships with DNA into the spotlight • In the first few years after Zuckerkandl and Pauling proposed using DNA for evolutionary studies, the possibility of reconstructing evolutionary trees by DNA analysis was hotly debated • Now it is a dominant approach to study evolution. -
General Adaptation Guidance: a Guide to Adapting Evidence-Based Sexual Health Curricula
General Adaptation Guidance: A Guide to Adapting Evidence-Based Sexual Health Curricula Adaptation Kit Tools and Resources for Making Informed Adaptations s Evidence-Based ProgramAn ed A An Evidence-BasedAn Program Evidence Based Program Adaptation Kit Tools and Resources for Making InformedAdaptation Adaptations Kit Tools and Resources for Making Informed Adaptations - Nicole Lezin Lori Rolleri For more information, contact: Julie Taylor More information about adaptation guidelines is available at ReCAPP, www.etr.org/recapp Regina Firpo-Triplett, MPH, CHES ETR [email protected], www.etr.org/recapp Taleria R. Fuller, PhD CDC Division of Reproductive Health [email protected], www.cdc.gov/teenpregnancy/ Spring 2012 Funding was made possible by Contract #GS10F0171T from the Centers for Disease Control and Prevention (CDC). About this Guide and the Adaptation Project Using an evidence-based intervention or EBI (a program that has been shown through rigorous evaluation to be effective at changing risk-taking behavior) assures that intervention efforts are devoted to what has been proven to work. Most practitioners make adaptations to EBIs to meet the unique characteristics of their local populations or projects. However, while this is a common practice, making changes to an EBI without a clear understanding of its core components can compromise the program’s effectiveness. ETR Associates, with funding from and in collaboration with the CDC Division of Reproductive Health (DRH), has developed guidelines on how to make appropriate adaptations to sexual health EBIs without sacrificing their core components. This guide provides general green (safe), yellow (proceed with caution) and red (unsafe) light adaptation guidance for practitioners considering making adaptations to sexual health EBIs. -
Long-Term Experimental Evolution in Escherichia Coli. V. Effects of Recombination with Immigrant Genotypes on the Rate of Bacterial Evolution
© Birkhliuser Verlag, Basel, 1997 J. evol. bioi. 10 (1997) 743-769 1010-061X/97/050743-27 $ 1.50 + 0.20/0 I Journal of Evolutionary Biology Long-term experimental evolution in Escherichia coli. V. Effects of recombination with immigrant genotypes on the rate of bacterial evolution 1 2 3 V. Souza, P. E. Turner • and R. E. LenskF·* 1Centro de Ecologia, Universidad Nacional Aut6noma de Mexico, Coyoacim, Ciudad de Mexico, 04510, Mexico 2 Center for Microbial Ecology, Michigan State University, East Lansing MI 48824, USA 3 Current address: Department of Zoology, University of Maryland, College Park MD 20742, USA Key words: Complex selection; conjugation; Escherichia coli; experimental evolu tion; hitchhiking; migration; plasmids; recombination. Abstract This study builds upon an earlier experiment that examined the dynamics of mean fitness in evolving populations of Escherichia coli in which mutations were the sole source of genetic variation. During thousands of generations in a constant environment, the rate of improvement in mean fitness of these asexual populations slowed considerably from an initially rapid pace. In this study, we sought to determine whether sexual recombination with novel genotypes would reaccelerate the rate of adaption in these populations. To that end, treatment populations were propagated for an additional 1000 generations in the same environment as their ancestors, but they were periodically allowed to mate with an immigrant pool of genetically distinct Hfr (high frequency recombination) donors. These donors could transfer genes to the resident populations by conjugation, but the donors them selves could not grow in the experimental environment. Control populations were propagated under identical conditions, but in the absence of sexual recombination with the donors. -
5. EVOLUTION AS a POPULATION-GENETIC PROCESS 5 April 2020
æ 5. EVOLUTION AS A POPULATION-GENETIC PROCESS 5 April 2020 With knowledge on rates of mutation, recombination, and random genetic drift in hand, we now consider how the magnitudes of these population-genetic features dictate the paths that are open vs. closed to evolutionary exploitation in various phylogenetic lineages. Because historical contingencies exist throughout the Tree of Life, we cannot expect to derive from first principles the source of every molecular detail of cellular diversification. We can, however, use established theory to address more general issues, such as the degree of attainable molecular refinement, rates of transition from one state to another, and the degree to which nonadaptive processes (mutation and random genetic drift) contribute to phylogenetic diversification. Substantial reviews of the field of evolutionary theory appear in Charlesworth and Charlesworth (2010) and Walsh and Lynch (2018). Much of the field is con- cerned with the mechanisms maintaining genetic variation within populations, as this ultimately dictates various aspects of the short-term response to selection. Here, however, we are primarily concerned with long-term patterns of phylogenetic diver- sification, so the focus is on the divergence of mean phenotypes. This still requires some knowledge of the principles of population genetics, as evolutionary divergence is ultimately a consequence of the accrual of genetic modifications at the population level. All evolutionary change initiates as a transient phase of genetic polymor- phism, during which mutant alleles navigate the rough sea of random genetic drift, often being evaluated on various genetic backgrounds, with some paths being more accessible to natural selection than others. -
Selection Experiments and Experimental Evolution of Performance and Physiology
Garland_ch12.qxd 8/3/09 2:03 PM Page 301 12 SELECTION EXPERIMENTS AND EXPERIMENTAL EVOLUTION OF PERFORMANCE AND PHYSIOLOGY John G. Swallow, Jack P. Hayes, Pawel Koteja, and Theodore Garland, Jr. THE IMPORTANCE OF REPLICATION Selection on VO2max and the Correlation between BMR and VO2max EXPERIMENTAL EVOLUTION OF MICE IN DIFFERENT THERMAL ENVIRONMENTS SEXUAL SELECTION: EFFECTS OF ORNAMENTS ON PERFORMANCE WIND TUNNEL FLIGHT IN DROSOPHILA Guppies ENDURANCE RUNNING AND STRESS-INDUCED ANALGESIA IN MICE Stalk-Eyed Flies ENDURANCE RUNNING IN RATS AND VOLUNTARY WHEEL “EXPERIMENTS” WITHOUT PRECISELY DEFINED SELECTION RUNNING IN MICE CRITERIA EVOLUTION OF THE RATE OF ENERGY METABOLISM Horse Racing IN RODENTS Greyhound Racing Selection on Basal Metabolic Rate PHYSIOLOGICAL DIFFERENCES AMONG STRAINS Selection on Heat Loss OF MICE AND BREEDS OF DOG Rate of Metabolism as a Hypothetical CONCLUSION Correlated Response Experimental Evolution: Concepts, Methods, and Applications of Selection Experiments, edited by Theodore Garland, Jr., and Michael R. Rose. Copyright © by the Regents of the University of California. All rights of reproduction in any form reserved. 301 Garland_ch12.qxd 8/3/09 2:03 PM Page 302 Since a seminal paper by Arnold (1983), direct measurement of whole-organism perfor- mance has become central to functional evolutionary biology (e.g., Arnold 2003; Ghalambor et al. 2003; Kingsolver and Huey 2003). In this context, “performance” can be most easily defined by example. Assuming that individuals can be fully motivated (e.g., see Swallow et al. 1998a; Harris and Steudel 2002; Losos et al. 2002; Tobalske et al. 2004), it is relatively easy to measure maximal sprint running speed of small mammals and lizards on photocell-timed racetracks or high-speed treadmills (e.g., Calsbeek and Irschick 2007; Chappell et al. -
Darwinian Evolution in a Translation-Coupled RNA Replication System Within a Cell-Like Compartment
ARTICLE Received 28 Mar 2013 | Accepted 22 Aug 2013 | Published 3 Oct 2013 DOI: 10.1038/ncomms3494 Darwinian evolution in a translation-coupled RNA replication system within a cell-like compartment Norikazu Ichihashi1,2, Kimihito Usui1, Yasuaki Kazuta1, Takeshi Sunami1,2, Tomoaki Matsuura1,2,3 & Tetsuya Yomo1,2,4 The ability to evolve is a key characteristic that distinguishes living things from non-living chemical compounds. The construction of an evolvable cell-like system entirely from non-living molecules has been a major challenge. Here we construct an evolvable artificial cell model from an assembly of biochemical molecules. The artificial cell model contains artificial genomic RNA that replicates through the translation of its encoded RNA replicase. We perform a long-term (600-generation) replication experiment using this system, in which mutations are spontaneously introduced into the RNA by replication error, and highly replicable mutants dominate the population according to Darwinian principles. During evolution, the genomic RNA gradually reinforces its interaction with the translated replicase, thereby acquiring competitiveness against selfish (parasitic) RNAs. This study provides the first experimental evidence that replicating systems can be developed through Darwinian evolution in a cell-like compartment, even in the presence of parasitic replicators. 1 Exploratory Research for Advanced Technology, Japan Science and Technology Agency, Osaka University, Suita, Osaka 565-0871, Japan. 2 Graduate School of Information Science and Technology, Osaka University, Suita, Osaka 565-0871, Japan. 3 Graduate School of Engineering, Osaka University, Suita, Osaka 565-0871, Japan. 4 Graduate School of Frontier Biosciences, Osaka University, Suita, Osaka 565-0871, Japan. Correspondence and requests for materials should be addressed to T.Y.