A Non-Lamarckian Mechanism for Substrate-Induced Mutations (Mutation Rates/Stationary-Phase Bacteria/Evolution/Carcinogenesis) BERNARD D
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Population Size and the Rate of Evolution
Review Population size and the rate of evolution 1,2 1 3 Robert Lanfear , Hanna Kokko , and Adam Eyre-Walker 1 Ecology Evolution and Genetics, Research School of Biology, Australian National University, Canberra, ACT, Australia 2 National Evolutionary Synthesis Center, Durham, NC, USA 3 School of Life Sciences, University of Sussex, Brighton, UK Does evolution proceed faster in larger or smaller popu- mutations occur and the chance that each mutation lations? The relationship between effective population spreads to fixation. size (Ne) and the rate of evolution has consequences for The purpose of this review is to synthesize theoretical our ability to understand and interpret genomic varia- and empirical knowledge of the relationship between tion, and is central to many aspects of evolution and effective population size (Ne, Box 1) and the substitution ecology. Many factors affect the relationship between Ne rate, which we term the Ne–rate relationship (NeRR). A and the rate of evolution, and recent theoretical and positive NeRR implies faster evolution in larger popula- empirical studies have shown some surprising and tions relative to smaller ones, and a negative NeRR implies sometimes counterintuitive results. Some mechanisms the opposite (Figure 1A,B). Although Ne has long been tend to make the relationship positive, others negative, known to be one of the most important factors determining and they can act simultaneously. The relationship also the substitution rate [5–8], several novel predictions and depends on whether one is interested in the rate of observations have emerged in recent years, causing some neutral, adaptive, or deleterious evolution. Here, we reassessment of earlier theory and highlighting some gaps synthesize theoretical and empirical approaches to un- in our understanding. -
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. -
An Unusually Low Microsatellite Mutation Rate in Dictyostelium Discoideum,An Organism with Unusually Abundant Microsatellites
Copyright Ó 2007 by the Genetics Society of America DOI: 10.1534/genetics.107.076067 An Unusually Low Microsatellite Mutation Rate in Dictyostelium discoideum,an Organism With Unusually Abundant Microsatellites Ryan McConnell, Sara Middlemist, Clea Scala, Joan E. Strassmann and David C. Queller1 Department of Ecology and Evolutionary Biology, Rice University, Houston, Texas 77005 Manuscript received May 18, 2007 Accepted for publication September 4, 2007 ABSTRACT The genome of the social amoeba Dictyostelium discoideum is known to have a very high density of microsatellite repeats, including thousands of triplet microsatellite repeats in coding regions that apparently code for long runs of single amino acids. We used a mutation accumulation study to see if unusually high microsatellite mutation rates contribute to this pattern. There was a modest bias toward mutations that increase repeat number, but because upward mutations were smaller than downward ones, this did not lead to a net average increase in size. Longer microsatellites had higher mutation rates than shorter ones, but did not show greater directional bias. The most striking finding is that the overall mutation rate is the lowest reported for microsatellites: 1 3 10À6 for 10 dinucleotide loci and 6 3 10À6 for 52 trinucleotide loci (which were longer). High microsatellite mutation rates therefore do not explain the high incidence of microsatellites. The causal relation may in fact be reversed, with low mutation rates evolving to protect against deleterious fitness effects of mutation at the numerous microsatellites. ICROSATELLITES, also known as simple se- In humans, certain triplet repeats that occur in or M quence repeats, are long stretches of a short near coding regions are subject to expansions that (1–6 bp), tandemly repeated DNA unit, such as the directly cause genetic diseases (Ashley and Warren motif CAA repeated 20 times. -
Adaptive Tuning of Mutation Rates Allows Fast Response to Lethal Stress In
Manuscript 1 Adaptive tuning of mutation rates allows fast response to lethal stress in 2 Escherichia coli 3 4 a a a a a,b 5 Toon Swings , Bram Van den Bergh , Sander Wuyts , Eline Oeyen , Karin Voordeckers , Kevin J. a,b a,c a a,* 6 Verstrepen , Maarten Fauvart , Natalie Verstraeten , Jan Michiels 7 8 a 9 Centre of Microbial and Plant Genetics, KU Leuven - University of Leuven, Kasteelpark Arenberg 20, 10 3001 Leuven, Belgium b 11 VIB Laboratory for Genetics and Genomics, Vlaams Instituut voor Biotechnologie (VIB) Bioincubator 12 Leuven, Gaston Geenslaan 1, 3001 Leuven, Belgium c 13 Smart Systems and Emerging Technologies Unit, imec, Kapeldreef 75, 3001 Leuven, Belgium * 14 To whom correspondence should be addressed: Jan Michiels, Department of Microbial and 2 15 Molecular Systems (M S), Centre of Microbial and Plant Genetics, Kasteelpark Arenberg 20, box 16 2460, 3001 Leuven, Belgium, [email protected], Tel: +32 16 32 96 84 1 Manuscript 17 Abstract 18 19 While specific mutations allow organisms to adapt to stressful environments, most changes in an 20 organism's DNA negatively impact fitness. The mutation rate is therefore strictly regulated and often 21 considered a slowly-evolving parameter. In contrast, we demonstrate an unexpected flexibility in 22 cellular mutation rates as a response to changes in selective pressure. We show that hypermutation 23 independently evolves when different Escherichia coli cultures adapt to high ethanol stress. 24 Furthermore, hypermutator states are transitory and repeatedly alternate with decreases in mutation 25 rate. Specifically, population mutation rates rise when cells experience higher stress and decline again 26 once cells are adapted. -
The Life-Cycle of Operons
Lawrence Berkeley National Laboratory Lawrence Berkeley National Laboratory Title The Life-cycle of Operons Permalink https://escholarship.org/uc/item/0sx114h9 Authors Price, Morgan N. Arkin, Adam P. Alm, Eric J. Publication Date 2005-11-18 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Title: The Life-cycle of Operons Authors: Morgan N. Price, Adam P. Arkin, and Eric J. Alm Author a±liation: Lawrence Berkeley Lab, Berkeley CA, USA and the Virtual Institute for Microbial Stress and Survival. A.P.A. is also a±liated with the Howard Hughes Medical Institute and the UC Berkeley Dept. of Bioengineering. Corresponding author: Eric Alm, [email protected], phone 510-486-6899, fax 510-486-6219, address Lawrence Berkeley National Lab, 1 Cyclotron Road, Mailstop 977-152, Berkeley, CA 94720 Abstract: Operons are a major feature of all prokaryotic genomes, but how and why operon structures vary is not well understood. To elucidate the life-cycle of operons, we compared gene order between Escherichia coli K12 and its relatives and identi¯ed the recently formed and destroyed operons in E. coli. This allowed us to determine how operons form, how they become closely spaced, and how they die. Our ¯ndings suggest that operon evolution is driven by selection on gene expression patterns. First, both operon creation and operon destruction lead to large changes in gene expression patterns. For example, the removal of lysA and ruvA from ancestral operons that contained essential genes allowed their expression to respond to lysine levels and DNA damage, respectively. Second, some operons have undergone accelerated evolution, with multiple new genes being added during a brief period. -
Estimating Effective Population Size Or Mutation Rate Using the Frequencies of Mutations of Various Classes in a Sample of DNA Sequences
Copyright 0 1994 by the Genetics Society of America Estimating Effective Population Size or Mutation Rate Using the Frequencies of Mutations of Various Classes in a Sample of DNA Sequences Yun-xin FU Center for Demographic and Population Genetics, University of Texas, Houston, Texas 77225 Manuscript received February 18, 1994 Accepted for publication August 27, 1994 ABSTRACT Mutations resulting in segregating sites of a sample of DNA sequences can be classified by size and type and the frequencies of mutations of different sizes and types can be inferred from the sample. A framework for estimating the essential parameter 8 = 4Nu utilizing the frequencies of mutations of various sizes and types is developed in this paper, where N is the effective size of a population and p is mutation rate per sequence per generation.The framework is a combination of coalescent theory, general linear model and Monte-Carlo integration, which leads to two new estimators 6, and 6, as well as a general Watterson’s estimator 6, and a general Tajima’s estimator 6,. The greatest strength of the framework is that it can be used under a variety of population models. The properties of the framework and the four estimators bK, e,,, 6, and 6, are investigated under three important population models: the neutral Wright-Fisher model, the neutral model with recombination and the neutral Wright’s finite-islands model. Under all these models, it is shown that 6, is the best estimator among the four even when recombination rate or migration rate has to be estimated. Under the neutral Wright-Fisher model, it is shown that the new estimator 6,has avariance close to alower bound ofvariances of allunbiased estimators of Owhichsuggests that 6, is a:ery efficient estimator. -
Molecular and Cellular Signaling
Martin Beckerman Molecular and Cellular Signaling With 227 Figures AIP PRESS 4(2) Springer Contents Series Preface Preface vii Guide to Acronyms xxv 1. Introduction 1 1.1 Prokaryotes and Eukaryotes 1 1.2 The Cytoskeleton and Extracellular Matrix 2 1.3 Core Cellular Functions in Organelles 3 1.4 Metabolic Processes in Mitochondria and Chloroplasts 4 1.5 Cellular DNA to Chromatin 5 1.6 Protein Activities in the Endoplasmic Reticulum and Golgi Apparatus 6 1.7 Digestion and Recycling of Macromolecules 8 1.8 Genomes of Bacteria Reveal Importance of Signaling 9 1.9 Organization and Signaling of Eukaryotic Cell 10 1.10 Fixed Infrastructure and the Control Layer 12 1.11 Eukaryotic Gene and Protein Regulation 13 1.12 Signaling Malfunction Central to Human Disease 15 1.13 Organization of Text 16 2. The Control Layer 21 2.1 Eukaryotic Chromosomes Are Built from Nucleosomes 22 2.2 The Highly Organized Interphase Nucleus 23 2.3 Covalent Bonds Define the Primary Structure of a Protein 26 2.4 Hydrogen Bonds Shape the Secondary Structure . 27 2.5 Structural Motifs and Domain Folds: Semi-Independent Protein Modules 29 xi xü Contents 2.6 Arrangement of Protein Secondary Structure Elements and Chain Topology 29 2.7 Tertiary Structure of a Protein: Motifs and Domains 30 2.8 Quaternary Structure: The Arrangement of Subunits 32 2.9 Many Signaling Proteins Undergo Covalent Modifications 33 2.10 Anchors Enable Proteins to Attach to Membranes 34 2.11 Glycosylation Produces Mature Glycoproteins 36 2.12 Proteolytic Processing Is Widely Used in Signaling 36 2.13 Reversible Addition and Removal of Phosphoryl Groups 37 2.14 Reversible Addition and Removal of Methyl and Acetyl Groups 38 2.15 Reversible Addition and Removal of SUMO Groups 39 2.16 Post-Translational Modifications to Histones . -
GENE REGULATION Differences Between Prokaryotes & Eukaryotes
GENE REGULATION Differences between prokaryotes & eukaryotes Gene function Description of Prokaryotic Chromosome and E.coli Review Differences between Prokaryotic & Eukaryotic Chromosomes Four differences Eukaryotic Chromosomes Form Length in single human chromosome Length in single diploid cell Proteins beside histones Proportion of DNA that codes for protein in prokaryotes eukaryotes humans Regulation of Gene Expression in Prokaryotes Terms promoter structural gene operator operon regulator repressor corepressor inducer The lac operon - Background E.coli behavior presence of lactose and absence of lactose behavior of mutants outcome of mutants The Lac operon Regulates production of b-galactosidase http://www.sumanasinc.com/webcontent/animations/content/lacoperon.html The trp operon Regulates the production of the enzyme for tryptophan synthesis http://bcs.whfreeman.com/thelifewire/content/chp13/1302002.html General Summary During transcription, RNA remains briefly bound to the DNA template Structural genes coding for polypeptides with related functions often occur in sequence Two kinds of regulatory control positive & negative General Summary Regulatory efficiency is increased because mRNA is translated into protein immediately and broken down rapidly. 75 different operons comprising 260 structural genes in E.coli Gene Regulation in Eukaryotes some regulation occurs because as little as one % of DNA is expressed Gene Expression and Differentiation Characteristic proteins are produced at different stages of differentiation producing cells with their own characteristic structure and function. Therefore not all genes are expressed at the same time As differentiation proceeds, some genes are permanently “turned” off. Example - different types of hemoglobin are produced during development and in adults. DNA is expressed at a precise time and sequence in time. -
What Makes the Lac-Pathway Switch: Identifying the Fluctuations That Trigger Phenotype Switching in Gene Regulatory Systems
What makes the lac-pathway switch: identifying the fluctuations that trigger phenotype switching in gene regulatory systems Prasanna M. Bhogale1y, Robin A. Sorg2y, Jan-Willem Veening2∗, Johannes Berg1∗ 1University of Cologne, Institute for Theoretical Physics, Z¨ulpicherStraße 77, 50937 K¨oln,Germany 2Molecular Genetics Group, Groningen Biomolecular Sciences and Biotechnology Institute, Centre for Synthetic Biology, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands y these authors contributed equally ∗ correspondence to [email protected] and [email protected]. Multistable gene regulatory systems sustain different levels of gene expression under identical external conditions. Such multistability is used to encode phenotypic states in processes including nutrient uptake and persistence in bacteria, fate selection in viral infection, cell cycle control, and development. Stochastic switching between different phenotypes can occur as the result of random fluctuations in molecular copy numbers of mRNA and proteins arising in transcription, translation, transport, and binding. However, which component of a pathway triggers such a transition is gen- erally not known. By linking single-cell experiments on the lactose-uptake pathway in E. coli to molecular simulations, we devise a general method to pinpoint the particular fluctuation driving phenotype switching and apply this method to the transition between the uninduced and induced states of the lac genes. We find that the transition to the induced state is not caused only by the single event of lac-repressor unbinding, but depends crucially on the time period over which the repressor remains unbound from the lac-operon. We confirm this notion in strains with a high expression level of the repressor (leading to shorter periods over which the lac-operon remains un- bound), which show a reduced switching rate. -
I = Chpt 15. Positive and Negative Transcriptional Control at Lac BMB
BMB 400 Part Four - I = Chpt 15. Positive and Negative Transcriptional Control at lac B M B 400 Part Four: Gene Regulation Section I = Chapter 15 POSITIVE AND NEGATIVE CONTROL SHOWN BY THE lac OPERON OF E. COLI A. Definitions and general comments 1. Operons An operon is a cluster of coordinately regulated genes. It includes structural genes (generally encoding enzymes), regulatory genes (encoding, e.g. activators or repressors) and regulatory sites (such as promoters and operators). 2. Negative versus positive control a. The type of control is defined by the response of the operon when no regulatory protein is present. b. In the case of negative control, the genes in the operon are expressed unless they are switched off by a repressor protein. Thus the operon will be turned on constitutively (the genes will be expressed) when the repressor in inactivated. c. In the case of positive control, the genes are expressed only when an active regulator protein, e.g. an activator, is present. Thus the operon will be turned off when the positive regulatory protein is absent or inactivated. Table 4.1.1. Positive vs. negative control BMB 400 Part Four - I = Chpt 15. Positive and Negative Transcriptional Control at lac 3. Catabolic versus biosynthetic operons a. Catabolic pathways catalyze the breakdown of nutrients (the substrate for the pathway) to generate energy, or more precisely ATP, the energy currency of the cell. In the absence of the substrate, there is no reason for the catabolic enzymes to be present, and the operon encoding them is repressed. In the presence of the substrate, when the enzymes are needed, the operon is induced or de-repressed. -
Escherichia Coli (Gene Fusion/Attenuator/Terminator/RNA Polymerase/Ribosomal Proteins) GERARD BARRY, CATHERINE L
Proc. Natl. Acad. Sci. USA Vol. 76, No. 10, pp. 4922-4926, October 1979 Biochemistry Control features within the rplJL-rpoBC transcription unit of Escherichia coli (gene fusion/attenuator/terminator/RNA polymerase/ribosomal proteins) GERARD BARRY, CATHERINE L. SQUIRES, AND CRAIG SQUIRES Department of Biological Sciences, Columbia University, New York, New York 10027 Communicated by Cyrus Levinthal, July 2, 1979 ABSTRACT Gene fusions constructed in vitro have been regulation could occur (4-7). Yet under certain conditions, used to examine transcription regulatory signals from the operon coordinate of the RNA which encodes ribosomal proteins L10 and L7/12 and the RNA expression polymerase subunits and polymerase P and #I subunits (the rplJL-rpoBC operon). Por- ribosomal proteins is not observed. This is especially true of the tions of this operon, which were obtained by in vitro deletions, rplJL-rpoBC transcription unit which encodes the ribosomal have been placed between the ara promoter and the lacZgene proteins L10 and L7/12 and the RNA polymerase subunits 13 in the gene-fusion plasmid pMC81 developed by M. Casadaban and 13'. For example, only the ribosomal proteins are modulated and S. Cohen. The effect of the inserted DNA segment on the by the stringent regulation system (8, 9) whereas a transient expression of the IacZ gene (in the presence and absence of arabinose) permits the localization of regulatory signals to dis- stimulatory effect of rifampicin is specific for the RNA poly- crete regions of the rpIJL-rpoBC operon. An element that re- merase subunits (10, 11). In addition, different amounts of duces the level of distal gene expression to one-sixth is located mRNA hybridize to the rpl and rpo regions of the rplJL-rpoBC on a fragment which spans the rplL-rpoB intercistronic region. -
The Mutation Rate and Cancer (Tumorigenesis͞evolution͞selection͞mutator Phenotype͞genomic Instability)
Proc. Natl. Acad. Sci. USA Vol. 93, pp. 14800–14803, December 1996 Medical Sciences The mutation rate and cancer (tumorigenesisyevolutionyselectionymutator phenotypeygenomic instability) I. P. M. TOMLINSON,M.R.NOVELLI, AND W. F. BODMER* Cancer Genetics Laboratory, Imperial Cancer Research Fund, 44, Lincoln’s Inn Fields, London WC2A 3PX, United Kingdom Contributed by W. F. Bodmer, September 9, 1996 ABSTRACT The selection of advantageous mutations un- mutations at loci such as those involved in DNA replication or derlies tumorigenesis. The growth of a tumor is therefore a repair. Thus, p53 mutations might lead to a mutator pheno- form of evolution at the somatic level, in which the population type, because the detection of and response to DNA damage is comprised of individual cells within the tumor. Models of are impaired (11). Many cancers have a mutator phenotype tumorigenesis have considered the relative importance of that results from mutations at loci involved in DNA mismatch mutation and selection. We show that selection is more repair (MMR) (12). In the hereditary nonpolyposis colorectal important than an increased mutation rate in the growth of a cancer (HNPCC) syndrome, one MMR allele is mutant in the tumor. Some cancers may acquire a ‘‘mutator phenotype,’’ germ line and the other allele mutates somatically. In sporadic probably leading to faster growth, but mutator phenotypes are cancers—for example, in up to 15% of all colon cancers— not necessary for carcinogenesis. somatic mutations (including allele loss) inactivate both mis- match repair alleles (13). It is widely accepted that tumorigenesis is a form of somatic Despite this evidence, the role of the mutator phenotype (or evolution, an idea which dates back to the writings of Boveri, ‘‘genomic instability’’) in sporadic cancers remains controver- James Murray, Little, and Tyzzer in the early years of this sial.