Evolution of Laboratory and Natural Populations of Escherichia Coli
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Carnival of Evolution #58: Visions of the Evolutionary Future Bradly Alicea Michigan State University
Carnival of Evolution #58: visions of the evolutionary future Bradly Alicea Michigan State University Originally published at: http://syntheticdaisies.blogspot.com on April 1, 2013 (http://syntheticdaisies.blogspot.com/2013/04/carnival-of-evolution-58-visions-of.html) Welcome to Carnival of Evolution! Now with albedo! Introduction What does the future look like? For some, the future is the place of constant progress and a place where dreams become reality. For others, the future is a scary, dystopian place. When actualized, however, future worlds fall somewhere in between these two visions. Can we make accurate projections about the future? As I pointed out in a Synthetic Daisies post from February [1], futurists and technologists have a pretty dismal track record at projecting future scenarios, and often get things notoriously wrong. UPPER LEFT: Ad from the 1982 opening of EPCOT Center, Florida. UPPER RIGHT: Dystopic future city from the movie "Idiocracy" (Inset is the cover of "Future Shock" by Alvin Toffler). BOTTOM LEFT: Bank of England Economic Forecast (circa 2011). BOTTOM RIGHT: New New York, circa 3000 (from the TV show "Futurama"). With visions of the future in mind, this month's Carnival of Evolution (#58) theme is the future of evolution. While a significant component of evolutionary biology involves reconstructing the past [2], we are actually (with error, of course) also predicting the future. Yet can we do any better than futurists or technologists? It is hard to say, and if you have opinions on this I would be glad to hear them. However, this month's CoE will address five themes that may (or may not) help us understand where the complexity of life is headed. -
Science in School the European Journal for Science Teachers Autumn 2017 | Issue 41 | Issue 2017 Autumn
Subscribe free in Europe: FREE www.scienceinschool.org Science in School The European journal for science teachers Autumn 2017 | Issue 41 2017 Autumn DesignDesign inspirationinspiration TheThe secretssecrets ofof sharkshark skinskin ISSN: 1818-0353 www.scienceinschool.org ISSN: 1818-0353 www.scienceinschool.org INSPIREINSPIRE SupportingSupporting AfricanAfrican science:science: the role of fruit flies Published and funded by EIROforum by funded and Published the role of fruit flies TEACHTEACH AA particleparticle acceleratoraccelerator inin youryour saladsalad bowlbowl Image courtesy of Ariane Böhm / Grunwald Kadow lab Kadow of Ariane Böhm / Grunwald Image courtesy Image courtesy of Andrew Burgess / shutterstock.com Burgess of Andrew Image courtesy SUPPORTING AFRICAN SCIENCE: 35 HOW DO BIRDS FLY? 38 THE ROLE OF FRUIT FLIES A HANDS-ON DEMONSTRATION Not only is the fruit fly a valuable model Dissect a chicken from the supermarket organism, but it is also helping to put Africa to discover the unusual pulley system that on the scientific world map. enables birds to fly. Image courtesy of Stefan Pircher / Shutterstock Pircher of Stefan Image courtesy DESIGN INSPIRATION: THE SECRETS OF SHARK SKIN 19 Shark skin is adapted for energy-efficient swimming in remarkable ways, some of which are now being copied by designers and engineers. UNDERSTAND INSPIRE 4 News from the EIROs: Exotic particles, 35 Supporting African science: fusion-device ashtrays and lunar missions the role of fruit flies 8 Cellulose: from trees to treats TEACH 13 Gravitational -
Michael Behe Makes the Argument That
Opening the Black Box Throughout “Darwin’s Black Box”, Michael Behe makes the argument that Darwinian evolution can’t be used as a universal explanation for all of life, because it can’t account for irreducibly complex organisms. However, Behe also neglects to acknowledge any existing research that suggests otherwise. A study conducted at Michigan State University by scientist Richard Lenski has shown that there could be a scientific explanation for these seemingly irreducibly complex organism, and that Behe shouldn’t be so quick to point to a supernatural solution, or to call it quits so soon when his mousetrap breaks. While Behe may think he has all the answers, contrary research has shown there are other answers worth consideration. Behe begins his argument by introducing the idea of organisms that are irreducibly complex, otherwise defined as a “single system composed of several well-matched, interacting parts that contribute to the basic function of the system, wherein the removal of any one of the parts causes the system to effectively cease functioning” (Darwin’s Black Box, 39). In order to demonstrate this principle, Behe raises the example of a mousetrap. He argues that if you remove one part of a mousetrap, it will cease to function, and because of this, all of the parts must have evolved simultaneously in order for a mousetrap to exist, therefor rendering it irreducibly complex. However, is any of this really true? Besides the holes in Behe’s mousetrap argument, there also lies the fact that mousetraps are not living creatures and therefore are incapable of evolution. -
Kin Discrimination Promotes Horizontal Gene Transfer Between Unrelated Strains in Bacillus Subtilis
ARTICLE https://doi.org/10.1038/s41467-021-23685-w OPEN Kin discrimination promotes horizontal gene transfer between unrelated strains in Bacillus subtilis ✉ Polonca Stefanic 1,5,6 , Katarina Belcijan1,5, Barbara Kraigher 1, Rok Kostanjšek1, Joseph Nesme2, Jonas Stenløkke Madsen2, Jasna Kovac 3, Søren Johannes Sørensen 2, Michiel Vos 4 & ✉ Ines Mandic-Mulec 1,6 Bacillus subtilis is a soil bacterium that is competent for natural transformation. Genetically 1234567890():,; distinct B. subtilis swarms form a boundary upon encounter, resulting in killing of one of the strains. This process is mediated by a fast-evolving kin discrimination (KD) system consisting of cellular attack and defence mechanisms. Here, we show that these swarm antagonisms promote transformation-mediated horizontal gene transfer between strains of low related- ness. Gene transfer between interacting non-kin strains is largely unidirectional, from killed cells of the donor strain to surviving cells of the recipient strain. It is associated with acti- vation of a stress response mediated by sigma factor SigW in the donor cells, and induction of competence in the recipient strain. More closely related strains, which in theory would experience more efficient recombination due to increased sequence homology, do not upregulate transformation upon encounter. This result indicates that social interactions can override mechanistic barriers to horizontal gene transfer. We hypothesize that KD-mediated competence in response to the encounter of distinct neighbouring strains could maximize the probability of efficient incorporation of novel alleles and genes that have proved to function in a genomically and ecologically similar context. 1 Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia. -
Experimental Evolution of Escherichia Coli Harboring an Ancient Translation Protein
J Mol Evol DOI 10.1007/s00239-017-9781-0 ORIGINAL ARTICLE Experimental Evolution of Escherichia coli Harboring an Ancient Translation Protein Betül Kacar1,2 · Xueliang Ge3 · Suparna Sanyal3 · Eric A. Gaucher4,5 Received: 8 October 2016 / Accepted: 30 January 2017 © The Author(s) 2017. This article is published with open access at Springerlink.com Abstract The ability to design synthetic genes and engi- We subsequently evolved replicate hybrid bacterial popula- neer biological systems at the genome scale opens new tions for 2000 generations in the laboratory and examined means by which to characterize phenotypic states and the adaptive response via fitness assays, whole genome the responses of biological systems to perturbations. One sequencing, proteomics, and biochemical assays. Hybrid emerging method involves inserting artificial genes into lineages exhibit a general adaptive strategy in which the bacterial genomes and examining how the genome and its fitness cost of the ancient gene was ameliorated in part by new genes adapt to each other. Here we report the devel- upregulation of protein production. Our results suggest that opment and implementation of a modified approach to an ancient–modern recombinant method may pave the way this method, in which phylogenetically inferred genes are for the synthesis of organisms that exhibit ancient pheno- inserted into a microbial genome, and laboratory evolu- types, and that laboratory evolution of these organisms may tion is then used to examine the adaptive potential of the prove useful in elucidating insights into historical adaptive resulting hybrid genome. Specifically, we engineered an processes. approximately 700-million-year-old inferred ancestral vari- ant of tufB, an essential gene encoding elongation factor Tu, and inserted it in a modern Escherichia coli genome in Background place of the native tufB gene. -
Formalizing Common Sense Reasoning for Scalable Inconsistency-Robust Information Integration Using Direct Logictm Reasoning and the Actor Model
Formalizing common sense reasoning for scalable inconsistency-robust information integration using Direct LogicTM Reasoning and the Actor Model Carl Hewitt. http://carlhewitt.info This paper is dedicated to Alonzo Church, Stanisław Jaśkowski, John McCarthy and Ludwig Wittgenstein. ABSTRACT People use common sense in their interactions with large software systems. This common sense needs to be formalized so that it can be used by computer systems. Unfortunately, previous formalizations have been inadequate. For example, because contemporary large software systems are pervasively inconsistent, it is not safe to reason about them using classical logic. Our goal is to develop a standard foundation for reasoning in large-scale Internet applications (including sense making for natural language) by addressing the following issues: inconsistency robustness, classical contrapositive inference bug, and direct argumentation. Inconsistency Robust Direct Logic is a minimal fix to Classical Logic without the rule of Classical Proof by Contradiction [i.e., (Ψ├ (¬))├¬Ψ], the addition of which transforms Inconsistency Robust Direct Logic into Classical Logic. Inconsistency Robust Direct Logic makes the following contributions over previous work: Direct Inference Direct Argumentation (argumentation directly expressed) Inconsistency-robust Natural Deduction that doesn’t require artifices such as indices (labels) on propositions or restrictions on reiteration Intuitive inferences hold including the following: . Propositional equivalences (except absorption) including Double Negation and De Morgan . -Elimination (Disjunctive Syllogism), i.e., ¬Φ, (ΦΨ)├T Ψ . Reasoning by disjunctive cases, i.e., (), (├T ), (├T Ω)├T Ω . Contrapositive for implication i.e., Ψ⇒ if and only if ¬⇒¬Ψ . Soundness, i.e., ├T ((├T) ⇒ ) . Inconsistency Robust Proof by Contradiction, i.e., ├T (Ψ⇒ (¬))⇒¬Ψ 1 A fundamental goal of Inconsistency Robust Direct Logic is to effectively reason about large amounts of pervasively inconsistent information using computer information systems. -
Chapter 6.Qxp
Testing Darwin Digital organisms that breed thousands of times faster than common bacteria are beginning to shed light on some of the biggest unanswered questions of evolution BY CARL ZIMMER F YOU WANT TO FIND ALIEN LIFE-FORMS, does this. Metabolism? Maybe not quite yet, but Ihold off on booking that trip to the moons of getting pretty close.” Saturn. You may only need to catch a plane to East Lansing, Michigan. One thing the digital organisms do particularly well is evolve. “Avida is not a simulation of evolu- The aliens of East Lansing are not made of car- tion; it is an instance of it,” Pennock says. “All the bon and water. They have no DNA. Billions of them core parts of the Darwinian process are there. These are quietly colonizing a cluster of 200 computers in things replicate, they mutate, they are competing the basement of the Plant and Soil Sciences building with one another. The very process of natural selec- at Michigan State University. To peer into their tion is happening there. If that’s central to the defi- world, however, you have to walk a few blocks west nition of life, then these things count.” on Wilson Road to the engineering department and visit the Digital Evolution Laboratory. Here you’ll It may seem strange to talk about a chunk of find a crew of computer scientists, biologists, and computer code in the same way you talk about a even a philosopher or two gazing at computer mon- cherry tree or a dolphin. But the more biologists itors, watching the evolution of bizarre new life- think about life, the more compelling the equation forms. -
Life's Conservation Law: Why Darwinian
William A. Dembski and Robert J. Marks II, "Life's Conservation Law: Why Darwinian Evolution Cannot Create Biological Information" in Bruce Gordon and William Dembski, editors, The Nature of Nature (Wilmington, Del.: ISI Books, 2011) pp.360-399 E F E IS an irn:volcaIJ!e selection and exclusion. as when you marry one woman you up all the so when you take one course of action you up all the other courses."4 Intelligence creates information. Bur is the causal power of Darwin's main claim to fame is that he is supposed to have a that could create informa- tion without the need intelligence. Interestingly, he to this mechanism as "natural selection." Sel.e~tion, as understood before had been an activity confined to intelligent agents. Darwll1 s great coup was to the power to nature-hence "natural selection." as conceived Darwin and his acts without is non-teleo- and therefore unintelligent. As genetlClst Coyne puts it in opposing intdlige:nt "If we're to defend we must defend it as a science: a in which the of life results from the action natural selection and on random mutations."5 But do and Darwinists insist that to count as must be non-teleological?6 did that rule come from? The of with the sciences is itselfa well-established science-it's called engineering. conceived, to the engi- ne.:::nng SCIences. 1. THE CREATION OF INFORMATION But to return to the at does nature really possess the power to select and th,>rph" create To answer this we to turn to relation between po~,sit)ilil:ies to create inlonnal:1011. -
The Landscape of Innovation in Bacteria, Battleships, and Beyond Downloaded by Guest on October 1, 2021 Thus, Fig
SPECIAL FEATURE: PERSPECTIVE The landscape of innovation in bacteria, battleships, and beyond SPECIAL FEATURE: PERSPECTIVE Terence C. Burnhama,b,1 and Michael Travisanoc,d,1,2 Edited by Simon A. Levin, Princeton University, Princeton, NJ, and approved November 18, 2020 (received for review August 12, 2020) We draw lessons from microbial experimental evolution and naval warfare to improve the understanding of innovation in financial markets. Major financial innovations often arise without explicit societal planning because novel approaches can be favored by markets, in a manner strikingly parallel to natural selection. We utilize the concept of an adaptive landscape to characterize environments that increase the speed and magnitude of innovation. We apply this adaptive landscape framework to innovation in portfolio management. We create a general taxonomy for understanding and nurturing innovation. adaptation | experimental evolution | finance | innovation What environmental characteristics favor innovation? relationship between design and performance. Con- We begin with an examination of innovation evident in sequently, both battleship and bacterial innovation naval warfare, primarily the design and function of can be represented in a similar adaptive landscape. battleships. Improvements in battleships suggest that We draw general lessons regarding approaches to fierce competition fosters innovation. innovation, aided by the adaptive landscape repre- While the battleship heuristic appears straightfor- sentation. The goal is to understand innovation in ward, the study of any historical set of innovations has finance and other domains. From this perspective, we the challenge of disentangling causation from corre- analyze one area of finance: the management of lation. Without a time machine, we cannot be sure of investment portfolios. -
Experiments in Digital Evolution Christoph Adami∗ Claus O
Experiments in Digital Evolution Christoph Adami∗ Claus O. Wilke (Editors’ Introduction to the Digital Life Laboratory 136-93 Special Issue) California Institute of Technology Pasadena, CA 91125 {adami,wilke}@caltech.edu Whether or not the field of artificial life has succeeded in doing what its name sug- gests, namely synthesizing life from non-living components, is a matter of contention. Clearly, this journal covers a broad range of topics related to the synthesis and sim- ulation of living systems, but only a few articles go so far as to unabashedly study wholly artificial forms of life. The field of digital evolution is an exception: Artificial life forms, in the form of self-replicating computer code inhabiting specially prepared areas of a standard computer, have been used to learn about fundamental aspects of the evolutionary process since Tom Ray introduced us to them [23]. In this issue, we present experiments using digital organisms of the Avida variety (that is, implemented with the Avida software described in this issue [20]), but there are a number of other implementations of digital evolution that have been used for experimental evolution (see, e.g., [31, 32, 22, 5]). Whether or not these digitals are truly alive is ultimately of no concern to us as researchers: We use them because we are interested in complicated and vexing questions of evolutionary biology, and digitals offer us the possibility to attack them. Digital evolution is currently undergoing a boom phase, and public perception of this discipline is steadily increasing [21]. This boom can be traced back in part to a maturation of the Avida software used in the majority of digital evolution experiments, in part to a perceived need for rigor in evolution experiments [7], and in part to the adoption of digitals as experimental organisms alongside bacteria and viruses by a growing number of microbiologists (see, e.g., [16]). -
BIOLOGY 639 SCIENCE ONLINE the Unexpected Brains Behind Blood Vessel Growth 641 THIS WEEK in SCIENCE 668 U.K
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The Man Who Bottled Evolution
NEWSFOCUS EAST LANSING, MICHIGAN—When most biologists want to understand how evolu- tion unfolds, they look for clues in the fossil The Man Who record or the natural world. Richard Lenski simply walks across his Michigan State Uni- versity lab to his freezers. There, stored in Bottled Evolution 4000 vials, are bacteria dating back to 1988. That was the year Lenski started a simple but radical experiment. He put samples of Richard Lenski’s 25-year experiment in bacterial evolution Escherichia coli into a sugar solution, stop- shows no signs of running out of surprises about how pered the flasks, and waited to see what mutation and selection shape living things would happen. It was a study with no defi ned endpoint, so risky that he didn’t try very hard to get outside funding for it. After 25 years and 58,000 bacterial generations, Lenski’s bacteria are still growing, mutating, and evolving. They are proving as critical to understanding the workings of evolution as classic paleontology studies such as Stephen Jay Gould’s research on the pace of change in mollusks. Lenski’s humble E. coli have shown, among other things, how multiple small mutations can prepare the ground for a major change; how new species can arise and diverge; and that Gould was mistaken on November 24, 2013 when he claimed that, given a second chance, evolution would likely take a completely different course. Most recently, the colonies have demonstrated that, contrary to what many biologists thought, evolution never comes to a stop, even in an unchanging environment.