The Neoselectionist Theory of Genome Evolution
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Specificity of Genome Evolution in Experimental Populations Of
Specificity of genome evolution in experimental PNAS PLUS populations of Escherichia coli evolved at different temperatures Daniel E. Deatheragea,b,c,d, Jamie L. Kepnera,b,c,d, Albert F. Bennette, Richard E. Lenskif,g,1, and Jeffrey E. Barricka,b,c,d,f,1 aCenter for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX 78712; bCenter for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX 78712; cInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX 78712; dDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712; eDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697; fBEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824; and gDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824 Edited by Neil H. Shubin, The University of Chicago, Chicago, IL, and approved January 25, 2017 (received for review September 27, 2016) Isolated populations derived from a common ancestor are expected to produce only in environments within a restricted thermal range. diverge genetically and phenotypically as they adapt to different local Adaptation for improved thermotolerance has important impli- environments. To examine this process, 30 populations of Escherichia cations for plant growth (5) and crop productivity (6), especially coli were evolved for 2,000 generations, with six in each of five dif- in light of climate change (7). Directed evolution of microor- ferent thermal regimes: constant 20 °C, 32 °C, 37 °C, 42 °C, and daily ganisms, such as yeast, to function effectively at higher or lower alternations between 32 °C and 42 °C. -
Comparative Genome Evolution Working Group
Comparative Genome Evolution Working Group COMPARATIVE GENOME EVOLUTION MODIFIED PROPOSAL Introduction Analysis of comparative genomic sequence information from a well-chosen set of organisms is, at present, one of the most effective approaches available to advance biomedical research. The following document describes rationales and plans for selecting targets for genome sequencing that will provide insight into a number of major biological questions that broadly underlie major areas of research funded by the National Institutes of Health, including studies of gene regulation, understanding animal development, and understanding gene and protein function. Genomic sequence data is a fundamental information resource that is required to address important questions about biology: What is the genomic basis for the advent of major morphogenetic or physiological innovations during evolution? How have genomes changed with the addition of new features observed in the eukaryotic lineage, for example the development of an adaptive immune system, an organized nervous system, bilateral symmetry, or multicellularity? What are the genomic correlates or bases for major evolutionary phenomena such as evolutionary rates; speciation; genome reorganization, and origins of variation? Another vital use to which genomic sequence data are applied is the development of more robust information about important non-human model systems used in biomedical research, i.e. how can we identify conserved functional regions in the existing genome sequences of important non- mammalian model systems, so that we can better understand fundamental aspects of, for example, gene regulation, replication, or interactions between genes? NHGRI established a working group to provide the Institute with well-considered scientific thought about the genomic sequences that would most effectively address these questions. -
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THE AVERAGE NUMBER OF GENERATIONS UNTIL EXTINCTION OF AN INDIVIDUAL MUTANT GENE IN A FINITE POPULATION MOT00 KIMURA' AND TOMOKO OHTA Department of Biology, Princeton University and National Institute of Genetics, Mishima, Japan Received June 13, 1969 AS pointed out by FISHER(1930), a majority of mutant genes which appear in natural populations are lost by chance within a small number of genera- tions. For example, if the mutant gene is selectively neutral, the probability is about 0.79 that it is lost from the population during the first 7 generations. With one percent selective advantage, this probability becomes about 0.78, namely, it changes very little. In general, the probability of loss in early generations due to random sampling of gametes is very high. The question which naturally follows is how long does it take, on the average, for a single mutant gene to become lost from the population, if we exclude the cases in which it is eventually fixed (established) in the population. In the present paper, we will derive some approximation formulas which are useful to answer this question, based on the theory of KIMURAand OHTA(1969). Also, we will report the results of Monte Carlo experiments performed to check the validity of the approximation formulas. APPROXIMATION FORMULAS BASED ON DIFFUSION MODELS Let us consider a diploid population, and denote by N and Ne, respectively, its actual and effective sizes. The following treatment is based on the diffusion models of population genetics (cf. KIMURA1964). As shown by KIMURAand OHTA (1969), if p is the initial frequency of the mutant gene, the average number of generations until loss of the mutant gene (excluding the cases of its eventual fixation) is - In this formula, 1 On leave from the National Institute of Genetics, Mishima, Japan. -
Section 4. Guidance Document on Horizontal Gene Transfer Between Bacteria
306 - PART 2. DOCUMENTS ON MICRO-ORGANISMS Section 4. Guidance document on horizontal gene transfer between bacteria 1. Introduction Horizontal gene transfer (HGT) 1 refers to the stable transfer of genetic material from one organism to another without reproduction. The significance of horizontal gene transfer was first recognised when evidence was found for ‘infectious heredity’ of multiple antibiotic resistance to pathogens (Watanabe, 1963). The assumed importance of HGT has changed several times (Doolittle et al., 2003) but there is general agreement now that HGT is a major, if not the dominant, force in bacterial evolution. Massive gene exchanges in completely sequenced genomes were discovered by deviant composition, anomalous phylogenetic distribution, great similarity of genes from distantly related species, and incongruent phylogenetic trees (Ochman et al., 2000; Koonin et al., 2001; Jain et al., 2002; Doolittle et al., 2003; Kurland et al., 2003; Philippe and Douady, 2003). There is also much evidence now for HGT by mobile genetic elements (MGEs) being an ongoing process that plays a primary role in the ecological adaptation of prokaryotes. Well documented is the example of the dissemination of antibiotic resistance genes by HGT that allowed bacterial populations to rapidly adapt to a strong selective pressure by agronomically and medically used antibiotics (Tschäpe, 1994; Witte, 1998; Mazel and Davies, 1999). MGEs shape bacterial genomes, promote intra-species variability and distribute genes between distantly related bacterial genera. Horizontal gene transfer (HGT) between bacteria is driven by three major processes: transformation (the uptake of free DNA), transduction (gene transfer mediated by bacteriophages) and conjugation (gene transfer by means of plasmids or conjugative and integrated elements). -
Genome Evolution: Mutation Is the Main Driver of Genome Size in Prokaryotes Gabriel A.B
Genome Evolution: Mutation Is the Main Driver of Genome Size in Prokaryotes Gabriel A.B. Marais, Bérénice Batut, Vincent Daubin To cite this version: Gabriel A.B. Marais, Bérénice Batut, Vincent Daubin. Genome Evolution: Mutation Is the Main Driver of Genome Size in Prokaryotes. Current Biology - CB, Elsevier, 2020, 30 (19), pp.R1083- R1085. 10.1016/j.cub.2020.07.093. hal-03066151 HAL Id: hal-03066151 https://hal.archives-ouvertes.fr/hal-03066151 Submitted on 15 Dec 2020 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. DISPATCH Genome Evolution: Mutation is the Main Driver of Genome Size in Prokaryotes Gabriel A.B. Marais1, Bérénice Batut2, and Vincent Daubin1 1Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR 5558, F- 69622 Villeurbanne, France 2Albert-Ludwigs-University Freiburg, Department of Computer Science, 79110 Freiburg, Germany Summary Despite intense research on genome architecture since the 2000’s, genome-size evolution in prokaryotes has remained puzzling. Using a phylogenetic approach, a new study found that increased mutation rate is associated with gene loss and reduced genome size in prokaryotes. In 2003 [1] and later in 2007 in his book “The Origins of Genome Architecture” [2], Lynch developed his influential theory that a genome’s complexity, represented by its size, is primarily the result of genetic drift. -
National Institute of Genetics Japan
NATIONAL INSTITUTE OF GENETICS JAPAN ANNUAL REPORT No. 20 1969 Publi8l&ed bll THE NATIONAL INS'ITI'UTE OF GENETICS Mitlima. Simoka-ken. Japtm 1970 Annual Report of the National Institute of Genetics No. 20, 1969 Published by The National Institute of Genetics, Japan 1970 CONTENTS General statement 1 Staff..................................... .. 2 Council............................................................ 5 Association for propagation of the knowledge of genetics... 5 Projects of research for 1969 ................ 6 Researches carried out in 1969 .......................... 9 1. Cytogenetics Segregation of three types of the largest No.1 (A-I) chromosome in Rattus rattus bred in a population room. YOSIDA, T. H. and TSUCHIYA, K. 9 Polymorphism of No.9 (A-9) and No. 13 (A-13) autosomes in Rattus rattus collected in Japan. YOSIDA, T. H. and TSUCHIYA, K. and MASUJI, H.......................................... 10 Frequency of chromosome polymorphism in Rattus rattus col- lected in East and Southeast Asia. YOSIDA, T. H. and TSUCHIYA, K. 11 Fl and F2 hybrids between Asian and Oceanian black rats with different karyotypes. YOSIDA, T. H., KATO, H. and SAKAKI- BARA, K.................................................... 13 Karyotypes of black rats, Rattus rattus, obtained from Honolulu, Hawaii. YOSIDA, T. H. and TSUCHIYA, K. 14 Local differences in the frequencies of chromosome polymorphism in the house rat, Rattus rattus, in Japan. YOSIDA, T. H., TSUCHIYA, K. and SONODA, J. 15 Karyotypes of Rattus bowersii collected in Malaysia. YOSIDA, T. H. and TSUCHIYA, K. 16 Protective effects of protamine sulfate on disintegration of isolated metaphase chromosomes. KATO, H., SEKIYA, K. and YOSIDA, T. H. 17 A preliminary study on the uptake of isolated nuclei by mam malian cells in vitro. -
Manipulating Underdetermination in Scientific Controversy: the Case of the Molecular Clock
Dartmouth College Dartmouth Digital Commons Open Dartmouth: Published works by Dartmouth faculty Faculty Work 9-1-2007 Manipulating Underdetermination in Scientific Controversy: The Case of the Molecular Clock Michael Dietrich Dartmouth College Robert A. Skipper University of Cincinnati Follow this and additional works at: https://digitalcommons.dartmouth.edu/facoa Part of the Biology Commons Dartmouth Digital Commons Citation Dietrich, Michael and Skipper, Robert A., "Manipulating Underdetermination in Scientific Controversy: The Case of the Molecular Clock" (2007). Open Dartmouth: Published works by Dartmouth faculty. 16. https://digitalcommons.dartmouth.edu/facoa/16 This Article is brought to you for free and open access by the Faculty Work at Dartmouth Digital Commons. It has been accepted for inclusion in Open Dartmouth: Published works by Dartmouth faculty by an authorized administrator of Dartmouth Digital Commons. For more information, please contact [email protected]. Manipulating Underdetermination in Scientiªc Controversy: The Case of the Molecular Clock Michael R. Dietrich Dartmouth College Robert A. Skipper, Jr. University of Cincinnati Where there are cases of underdetermination in scientiªc controversies, such as the case of the molecular clock, scientists may direct the course and terms of dispute by playing off the multidimensional framework of theory evaluation. This is because assessment strategies themselves are underdetermined. Within the framework of assessment, there are a variety of trade-offs between differ- ent strategies as well as shifting emphases as speciªc strategies are given more or less weight in assessment situations. When a strategy is underdetermined, scientists can change the dynamics of a controversy by making assessments using different combinations of evaluation strategies and/or weighting what- ever strategies are in play in different ways. -
Genomes and Their Evolution
CAMPBELL BIOLOGY IN FOCUS URRY • CAIN • WASSERMAN • MINORSKY • REECE 18 Genomes and Their Evolution Lecture Presentations by Kathleen Fitzpatrick and Nicole Tunbridge, Simon Fraser University © 2016 Pearson Education, Inc. SECOND EDITION Overview: Reading Leaves from the Tree of Life . Complete genome sequences exist for a human, chimpanzee, E. coli, and numerous other prokaryotes, as well as corn, fruit fly, house mouse, orangutan, and others . Comparisons of genomes among organisms provide information about the evolutionary history of genes and taxonomic groups © 2016 Pearson Education, Inc. Genomics is the study of whole sets of genes and their interactions . Bioinformatics is the application of computational methods to the storage and analysis of biological data © 2016 Pearson Education, Inc. Figure 18.1 © 2016 Pearson Education, Inc. Concept 18.1: The Human Genome Project fostered development of faster, less expensive sequencing techniques . The Human Genome Project officially began in 1990, and the sequencing was largely completed by 2003 . Even with automation, the sequencing of all 3 billion base pairs in a haploid set presented a formidable challenge . A major thrust of the Human Genome Project was the development of technology for faster sequencing © 2016 Pearson Education, Inc. The whole-genome shotgun approach was developed by J. Craig Venter and colleagues . This approach starts with cloning and sequencing random DNA fragments . Powerful computer programs are used to assemble the resulting short overlapping sequences into a single continuous sequence © 2016 Pearson Education, Inc. Figure 18.2-s1 Cut the DNA into overlapping fragments short enough for sequencing. Clone the fragments in plasmid or other vectors. © 2016 Pearson Education, Inc. -
Chapter 5 Genome Sequences and Evolution
© Jones & Bartlett Learning LLC, an Ascend Learning Company. NOT FOR SALE OR DISTRIBUTION. CHAPTER 5 © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION Genome Sequences © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC and ENOTvolu FOR SALEtion OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION CHAPTER OUTLINE © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC 5.1 Introduction 5.13 A Constant Rate of Sequence Divergence Is NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION 5.2 Prokaryotic Gene Numbers Range Over an a Molecular Clock Order of Magnitude 5.14 The Rate of Neutral Substitution Can Be 5.3 Total Gene Number Is Known for Several Measured from Divergence of Repeated Eukaryotes Sequences © Jones &5.4 Bartlett How Many Learning, Different LLC Types of Genes Are © Jones5.15 &How Bartlett Did Interrupted Learning, Genes LLC Evolve? NOT FOR SALEThere? OR DISTRIBUTION NOT 5.16FOR Why SALE Are OR Some DISTRIBUTION Genomes So Large? 5.5 The Human Genome Has Fewer Genes Than 5.17 Morphological Complexity Evolves by Originally Expected Adding New Gene Functions 5.6 How -
On the Law of Directionality of Genome Evolution
On the Law of Directionality of Genome Evolution Liaofu Luo Laboratory of Theoretical Biophysics, Faculty of Science and Technology, Inner Mongolia University, Hohhot 010021, China *Email address: [email protected] Abstract The problem of the directionality of genome evolution is studied from the information-theoretic view. We propose that the function-coding information quantity of a genome always grows in the course of evolution through sequence duplication, expansion of code, and gene transfer between genomes. The function-coding information quantity of a genome consists of two parts, p-coding information quantity which encodes functional protein and n-coding information quantity which encodes other functional elements except amino acid sequence. The relation of the proposed law to the thermodynamic laws is indicated. The evolutionary trends of DNA sequences revealed by bioinformatics are investigated which afford further evidences on the evolutionary law. It is argued that the directionality of genome evolution comes from species competition adaptive to environment. An expression on the evolutionary rate of genome is proposed that the rate is a function of Darwin temperature (describing species competition) and fitness slope (describing adaptive landscape). Finally, the problem of directly experimental test on the evolutionary directionality is discussed briefly. 1 A law of genomic information The traditional natural sciences mostly focused on matter and energy. Of course, the two are basic categories in the nature. However, parallel to yet different from matter and energy, information constitutes the third fundamental category in natural sciences. One characteristic of a life system is that it contains a large amount of information. Life consists of matter and energy, but it is not just matter and energy. -
The Average Number of Generations Until Fixation of a Mutant Gene in a Finite Population'
THE AVERAGE NUMBER OF GENERATIONS UNTIL FIXATION OF A MUTANT GENE IN A FINITE POPULATION' MOT00 KIMURA AND TOMOKO OHTA, National Institute of Genetics, Mishima, Japan Received July 26, 1968 A mutant gene which appeared in a finite population will eventually either be lost from the population or fixed (established) in it. The mean time until either of these alternative events takes place was studied by WATTERSON(1962) and EWENS(1963). They made use of a method previously announced by DARL- ING and SIEGERT(1953), and, independently by FELLER(1954). Actually, DARL- ING and SIEGERTrefer to its application to genetics. From the standpoint of population genetics, however, it is much more desirable to determine separately the mean time until fixation and that until loss. Since the gene substitution in a population plays a key role in the evolution of the species, it may be of particular interest to know the mean time for a rare mutant gene to become fixed in a finite population, excluding the cases in which such a gene is lost from the population. In the present paper, a solution to this problem will be presented together with Monte Carlo experiments to test some of the theoretical results. Throughout this paper, the senior author (M. K.) is responsible for the mathematical treatments, while the junior author (T. 0.) is responsible for the numerical treatments based on computers. BASIC THEORY Let us consider a diploid population consisting of N individuals and having the variance effective number Ne, which may be different from the actual number (for the definition of Ne, see KIMURAand CROW1963). -
National Institute of Genetics Japan
NATIONAL INSTITUTE OF GENETICS JAPAN ANNUAL REPORT No. 19 1968 Published bll THE NATIONAL INSTITUTE OF GENETICS Misima. Sizuoka·ken, Japan 1969 Annual Report of the National Institute of Genetics No. 19, 1968 Published by The National Institute of Genetics, Japan 1969 CONTENTS General statement. ................................................. 1 Research member.................................................. 2 Council............................................................ 5 Projects of research for 1968....................................... 6 Researches carried out in 1968 ..................................... 9 I. Cytogenetics Scientific expedition for the study of rodents to South East Asia and Oceania. I. Members, aims and schedule of the scienti- fic expedition. YOSIDA, T. H. 9 Scientific expedition for the study of rodents to South East Asia and Oceania. II. Species and chromosome numbers of rodents collected from South East Asia and Oceania. YOSIDA, T. H., TSUCHlYA, K. and IMAI, H. T......................... 10 Scientific expedition for the study of rodents to South East Asia and Oceania. III. Chromosomal polymorphism and new karyotypes of black rat, Rattus rattus, collected in South East Asia and Oceania. YOSIDA, T. H. and TSUCHIYA, K......... 11 Scientific expedition for the study of rodents to South East Asia and Oceania. IV. Comparative idiogram analysis in several species belonging to genus Rattus collected from South East Asia and Oceania. YOSIDA, T. H. and TSUCHlYA, K......... 12 Scientific expedition for the study of rodents to South East Asia and Oceania. V. Breeding of wild rodents collected from South East Asia and Oceania. TSUCHIYA, K., YOSIDA, T. H... 13 Rat metaphase chromosomes incorporated into mouse metaphase cells. YOSIDA, T. H. and SEKIGUCHl, T...................... 15 Autoradiographic analysis of the rate of protein synthesis in diploid and tetraploid MSPC-l myeloma cells.