Comparative Genome Evolution Working Group
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The New Science of Metagenomics: Revealing the Secrets of Our Microbial Planet Is Available from the National Academies Press, 500 Fifth Street, NW, Washington, D.C
THE NATIONALA REPORTIN BRIEF C The New Science of Metagenomics Revealing the Secrets of Our Microbial Planet ADEMIES Although we can’t see them, microbes are essential for every part of human life— indeed all life on Earth. The emerging field of metagenomics provides a new way of viewing the microbial world that will not only transform modern microbiology, but also may revolu- tionize understanding of the entire living world. very part of the biosphere is impacted Eby the seemingly endless ability of microorganisms to transform the world around them. It is microorganisms, or microbes, that convert the key elements of life—carbon, nitrogen, oxygen, and sulfur—into forms accessible to other living things. They also make necessary nutrients, minerals, and vitamins available to plants and animals. The billions of microbes living in the human gut help humans digest food, break down toxins, and fight off disease-causing pathogens. Microbes also clean up pollutants in the environment, such as oil and Bacteria in human saliva. Trillions of chemical spills. All of these activities are carried bacteria make up the normal microbial com- out not by individual microbes but by complex munity found in and on the human body. microbial communities—intricate, balanced, and The new science of metagenomics can help integrated entities that have a remarkable ability to us understand the role of microbial commu- adapt swiftly to environmental change. nities in human health and the environment. Historically, microbiology has focused on (Image courtesy of Michael Abbey) single species in pure laboratory culture, and thus understanding of microbial communities has lagged behind understanding of their individual mem- bers. -
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. -
Genomics and Its Impact on Science and Society: the Human Genome Project and Beyond
DOE/SC-0083 Genomics and Its Impact on Science and Society The Human Genome Project and Beyond U.S. Department of Energy Genome Research Programs: genomics.energy.gov A Primer ells are the fundamental working units of every living system. All the instructions Cneeded to direct their activities are contained within the chemical DNA (deoxyribonucleic acid). DNA from all organisms is made up of the same chemical and physical components. The DNA sequence is the particular side-by-side arrangement of bases along the DNA strand (e.g., ATTCCGGA). This order spells out the exact instruc- tions required to create a particular organism with protein complex its own unique traits. The genome is an organism’s complete set of DNA. Genomes vary widely in size: The smallest known genome for a free-living organism (a bac- terium) contains about 600,000 DNA base pairs, while human and mouse genomes have some From Genes to Proteins 3 billion (see p. 3). Except for mature red blood cells, all human cells contain a complete genome. Although genes get a lot of attention, the proteins DNA in each human cell is packaged into 46 chro- perform most life functions and even comprise the mosomes arranged into 23 pairs. Each chromosome is majority of cellular structures. Proteins are large, complex a physically separate molecule of DNA that ranges in molecules made up of chains of small chemical com- length from about 50 million to 250 million base pairs. pounds called amino acids. Chemical properties that A few types of major chromosomal abnormalities, distinguish the 20 different amino acids cause the including missing or extra copies or gross breaks and protein chains to fold up into specific three-dimensional rejoinings (translocations), can be detected by micro- structures that define their particular functions in the cell. -
The Human Genome Project Focus of the Human Genome Project
TOOLS OF GENETIC RESEARCH THE HUMAN GENOME PROJECT FOCUS OF THE HUMAN GENOME PROJECT The primary work of the Human Genome Project has been to Francis S. Collins, M.D., Ph.D.; produce three main research tools that will allow investigators to and Leslie Fink identify genes involved in normal biology as well as in both rare and common diseases. These tools are known as positional cloning The Human Genome Project is an ambitious research effort aimed at deciphering the chemical makeup of the entire human (Collins 1992). These advanced techniques enable researchers to ge ne tic cod e (i.e. , the g enome). The primary wor k of the search for diseaselinked genes directly in the genome without first having to identify the gene’s protein product or function. (See p ro j e c t i s t o d ev e lop t h r e e r e s e a r c h tool s t h a t w i ll a ll o w the article by Goate, pp. 217–220.) Since 1986, when researchers scientists to identify genes involved in both rare and common 2 diseases. Another project priority is to examine the ethical, first found the gene for chronic granulomatous disease through legal, and social implications of new genetic technologies and positional cloning, this technique has led to the isolation of consid to educate the public about these issues. Although it has been erably more than 40 diseaselinked genes and will allow the identi in existence for less than 6 years, the Human Genome Project fication of many more genes in the future (table 1). -
From the Human Genome Project to Genomic Medicine a Journey to Advance Human Health
From the Human Genome Project to Genomic Medicine A Journey to Advance Human Health Eric Green, M.D., Ph.D. Director, NHGRI The Origin of “Genomics”: 1987 Genomics (1987) “For the newly developing discipline of [genome] mapping/sequencing (including the analysis of the information), we have adopted the term GENOMICS… ‘The Genome Institute’ Office for Human Genome Research 1988-1989 National Center for Human Genome Research 1989-1997 National Human Genome Research Institute 1997-present NHGRI: Circa 1990-2003 Human Genome Project NHGRI Today: Characteristic Features . Relatively young (~28 years) . Relatively small (~1.7% of NIH) . Unusual historical origins (think ‘Human Genome Project’) . Emphasis on ‘Team Science’ (think managed ‘consortia’) . Rapidly disseminating footprint (think ‘genomics’) . Novel societal/bioethics research component (think ‘ELSI’) . Over-achievers for trans-NIH initiatives (think ‘Common Fund’) . Vibrant (and large) Intramural Research Program A Quarter Century of Genomics Human Genome Sequenced for First Time by the Human Genome Project Genomic Medicine An emerging medical discipline that involves using genomic information about an individual as part of their clinical care (e.g., for diagnostic or therapeutic decision- making) and the other implications of that clinical use The Path to Genomic Medicine ? Human Realization of Genome Genomic Project Medicine Nature Nature Base Pairs to Bedside 2003 Heli201x to 1Health A Quarter Century of Genomics Human Genome Sequenced for First Time by the Human Genome Project -
An Overview of Mosquito Vectors of Zika Virus
Microbes and Infection xxx (2018) 1e15 Contents lists available at ScienceDirect Microbes and Infection journal homepage: www.elsevier.com/locate/micinf An overview of mosquito vectors of Zika virus Sebastien Boyer a, Elodie Calvez b, Thais Chouin-Carneiro c, Diawo Diallo d, * Anna-Bella Failloux e, a Institut Pasteur of Cambodia, Unit of Medical Entomology, Phnom Penh, Cambodia b Institut Pasteur of New Caledonia, URE Dengue and Other Arboviruses, Noumea, New Caledonia c Instituto Oswaldo Cruz e Fiocruz, Laboratorio de Transmissores de Hematozoarios, Rio de Janeiro, Brazil d Institut Pasteur of Dakar, Unit of Medical Entomology, Dakar, Senegal e Institut Pasteur, URE Arboviruses and Insect Vectors, Paris, France article info abstract Article history: The mosquito-borne arbovirus Zika virus (ZIKV, Flavivirus, Flaviviridae), has caused an outbreak Received 6 December 2017 impressive by its magnitude and rapid spread. First detected in Uganda in Africa in 1947, from where it Accepted 15 January 2018 spread to Asia in the 1960s, it emerged in 2007 on the Yap Island in Micronesia and hit most islands in Available online xxx the Pacific region in 2013. Subsequently, ZIKV was detected in the Caribbean, and Central and South America in 2015, and reached North America in 2016. Although ZIKV infections are in general asymp- Keywords: tomatic or causing mild self-limiting illness, severe symptoms have been described including neuro- Arbovirus logical disorders and microcephaly in newborns. To face such an alarming health situation, WHO has Mosquito vectors Aedes aegypti declared Zika as an emerging global health threat. This review summarizes the literature on the main fi Vector competence vectors of ZIKV (sylvatic and urban) across all the ve continents with special focus on vector compe- tence studies. -
Gene Prediction Using Deep Learning
FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO Gene prediction using Deep Learning Pedro Vieira Lamares Martins Mestrado Integrado em Engenharia Informática e Computação Supervisor: Rui Camacho (FEUP) Second Supervisor: Nuno Fonseca (EBI-Cambridge, UK) July 22, 2018 Gene prediction using Deep Learning Pedro Vieira Lamares Martins Mestrado Integrado em Engenharia Informática e Computação Approved in oral examination by the committee: Chair: Doctor Jorge Alves da Silva External Examiner: Doctor Carlos Manuel Abreu Gomes Ferreira Supervisor: Doctor Rui Carlos Camacho de Sousa Ferreira da Silva July 22, 2018 Abstract Every living being has in their cells complex molecules called Deoxyribonucleic Acid (or DNA) which are responsible for all their biological features. This DNA molecule is condensed into larger structures called chromosomes, which all together compose the individual’s genome. Genes are size varying DNA sequences which contain a code that are often used to synthesize proteins. Proteins are very large molecules which have a multitude of purposes within the individual’s body. Only a very small portion of the DNA has gene sequences. There is no accurate number on the total number of genes that exist in the human genome, but current estimations place that number between 20000 and 25000. Ever since the entire human genome has been sequenced, there has been an effort to consistently try to identify the gene sequences. The number was initially thought to be much higher, but it has since been furthered down following improvements in gene finding techniques. Computational prediction of genes is among these improvements, and is nowadays an area of deep interest in bioinformatics as new tools focused on the theme are developed. -
The Genome Project–Write Issues, Enabling Inclusive Decision-Making on the Topics Mentioned Above (7)
Human chromosomes and nucleus as visualized by scanning electron microscopy. Through open and ongoing dialogue, com- mon goals can be identified. Informed consent must take local and regional val- ues into account and enable true decision- making on particularly sensitive use of cells and DNA from certain sources. Finally, the highest biosafety standards should guide project work and safety for lab workers and research participants, and ecosystems should pervade the design process. A prior- ity will be cost reduction of both genome engineering and testing tools to aid in equi- POLICY FORUM table distribution of benefits—e.g., enabling research on crop plants and infectious agents and vectors in developing nations. GENOME ENGINEERING To ensure responsible innovation and on- going consideration of ELSI, a percentage of all research funds could be dedicated to these The Genome Project–Write issues, enabling inclusive decision-making on the topics mentioned above (7). In addi- We need technology and an ethical framework tion, there should be equitable distribution of any early and future benefits in view of on July 29, 2016 for genome-scale engineering diverse and pressing needs in different global regions. The broad scope and novelty of the By Jef D. Boeke,* George Church,* large-scale synthesis and editing of genomes. project call for consideration of appropriate Andrew Hessel,* Nancy J. Kelley,* Adam To this end, we propose the Human Genome regulation alongside development of the sci- Arkin, Yizhi Cai, Rob Carlson, Aravinda Project–Write (HGP-write), named to honor ence and societal debates. National and in- Chakravarti, Virginia W. Cornish, Liam HGP-read but embracing synthesis of all ternational laws and regulations differ, and Holt, Farren J. -
Chemical Biology of Natural Indolocarbazole Products: 30 Years Since the Discovery of Staurosporine
The Journal of Antibiotics (2009) 62, 17–26 & 2009 Japan Antibiotics Research Association All rights reserved 0021-8820/09 $32.00 www.nature.com/ja REVIEW ARTICLE Chemical biology of natural indolocarbazole products: 30 years since the discovery of staurosporine Hirofumi Nakano and Satoshi O¯ mura Staurosporine was discovered at the Kitasato Institute in 1977 while screening for microbial alkaloids using chemical detection methods. It was during the same era that protein kinase C was discovered and oncogene v-src was shown to have protein kinase activity. Staurosporine was first isolated from a culture of Actinomyces that originated in a soil sample collected in Mizusawa City, Japan. Thereafter, indolocarbazole compounds have been isolated from a variety of organisms. The biosynthesis of staurosporine and related indolocarbazoles was finally elucidated during the past decade through genetic and biochemical studies. Subsequently, several novel indolocarbazoles have been produced using combinatorial biosynthesis. In 1986, 9 years since its discovery, staurosporine and related indolocarbazoles were shown to be nanomolar inhibitors of protein kinases. They can thus be viewed as forerunners of today’s crop of novel anticancer drugs. The finding led many pharmaceutical companies to search for selective protein kinase inhibitors by screening natural products and through chemical synthesis. In the 1990s, imatinib, a Bcr-Abl tyrosine kinase inhibitor, was synthesized and, following human clinical trials for chronic myelogenous leukemia, it was approved for use in the USA in 2001. In 1992, mammalian topoisomerases were shown to be targets for indolocarbazoles. This opened up new possibilities in that indolocarbazole compounds could selectively interact with ATP- binding sites of not only protein kinases but also other proteins that had slight differences in ATP-binding sites. -
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. -
"An Overview of Gene Identification: Approaches, Strategies, and Considerations"
An Overview of Gene Identification: UNIT 4.1 Approaches, Strategies, and Considerations Modern biology has officially ushered in a new era with the completion of the sequencing of the human genome in April 2003. While often erroneously called the “post-genome” era, this milestone truly marks the beginning of the “genome era,” a time in which the availability of sequence data for many genomes will have a significant effect on how science is performed in the 21st century. While complete human sequence data is now available at an overall accuracy of 99.99%, the mere availability of all of these As, Cs, Ts, and Gs still does not answer some of the basic questions regarding the human genome—how many genes actually comprise the genome, how many of these genes code for multiple gene products, and where those genes actually lie along the complement of human chromosomes. Current estimates, based on preliminary analyses of the draft sequence, place the number of human genes at ∼30,000 (International Human Genome Sequencing Consortium, 2001). This number is in stark contrast to previously-suggested estimates, which had ranged as high as 140,000. A number that is in the 30,000 range brings into question the one-gene, one-protein hypothesis, underscoring the importance of processes such as alternative splicing in the generation of multiple gene products from a single gene. Finding all of the genes and the positions of those genes within the human genome sequence—and in other model organism genome sequences as well—requires the devel- opment and application of robust computational methods, some of which are listed in Table 4.1.1.