Analysis of Stop Codons Within Prokaryotic Protein-Coding Genes Suggests Frequent Readthrough Events
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Translation Readthrough Mitigation Joshua A
LETTER doi:10.1038/nature18308 Translation readthrough mitigation Joshua A. Arribere1, Elif S. Cenik1, Nimit Jain2, Gaelen T. Hess3, Cameron H. Lee3, Michael C. Bassik3 & Andrew Z. Fire1,3 A fraction of ribosomes engaged in translation will fail to into the 3′ UTR can confer substantial loss of protein expression for at terminate when reaching a stop codon, yielding nascent proteins least these three 3′ UTRs in C. elegans. inappropriately extended on their C termini. Although such To test whether translation into 3′ UTRs could confer a loss of extended proteins can interfere with normal cellular processes, protein expression more generally, a two-fluorescent-reporter system known mechanisms of translational surveillance1 are insufficient to with each fluorophore transgene containing an identical 3′ UTR was protect cells from potential dominant consequences. Here, through used. Nine genes were chosen to reflect a variety of functions and a combination of transgenics and CRISPR–Cas9 gene editing in expression levels: rps-17 (small ribosomal subunit component), r74.6 Caenorhabditis elegans, we demonstrate a consistent ability of cells (dom34/pelota release factor homologue), hlh-1 (muscle transcription to block accumulation of C-terminal-extended proteins that result factor), eef-1A.1 (also known as eft-3, translation elongation factor), from failure to terminate at stop codons. Sequences encoded by myo-2 (a pharyngeal myosin), mut-16 (involved in gene/transposon the 3′ untranslated region (UTR) were sufficient to lower protein silencing), bar-1 (a beta catenin), daf-6 (involved in amphid mor- levels. Measurements of mRNA levels and translation suggested a phogenesis), and alr-1 (neuronal transcription factor). -
Bio 102 Practice Problems Genetic Code and Mutation
Bio 102 Practice Problems Genetic Code and Mutation Multiple choice: Unless otherwise directed, circle the one best answer: 1. Choose the one best answer: Beadle and Tatum mutagenized Neurospora to find strains that required arginine to live. Based on the classification of their mutants, they concluded that: A. one gene corresponds to one protein. B. DNA is the genetic material. C. "inborn errors of metabolism" were responsible for many diseases. D. DNA replication is semi-conservative. E. protein cannot be the genetic material. 2. Choose the one best answer. Which one of the following is NOT part of the definition of a gene? A. A physical unit of heredity B. Encodes a protein C. Segement of a chromosome D. Responsible for an inherited characteristic E. May be linked to other genes 3. A mutation converts an AGA codon to a TGA codon (in DNA). This mutation is a: A. Termination mutation B. Missense mutation C. Frameshift mutation D. Nonsense mutation E. Non-coding mutation 4. Beadle and Tatum performed a series of complex experiments that led to the idea that one gene encodes one enzyme. Which one of the following statements does not describe their experiments? A. They deduced the metabolic pathway for the synthesis of an amino acid. B. Many different auxotrophic mutants of Neurospora were isolated. C. Cells unable to make arginine cannot survive on minimal media. D. Some mutant cells could survive on minimal media if they were provided with citrulline or ornithine. E. Homogentisic acid accumulates and is excreted in the urine of diseased individuals. 5. -
Expanding the Genetic Code Lei Wang and Peter G
Reviews P. G. Schultz and L. Wang Protein Science Expanding the Genetic Code Lei Wang and Peter G. Schultz* Keywords: amino acids · genetic code · protein chemistry Angewandte Chemie 34 2005 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim DOI: 10.1002/anie.200460627 Angew. Chem. Int. Ed. 2005, 44,34–66 Angewandte Protein Science Chemie Although chemists can synthesize virtually any small organic molecule, our From the Contents ability to rationally manipulate the structures of proteins is quite limited, despite their involvement in virtually every life process. For most proteins, 1. Introduction 35 modifications are largely restricted to substitutions among the common 20 2. Chemical Approaches 35 amino acids. Herein we describe recent advances that make it possible to add new building blocks to the genetic codes of both prokaryotic and 3. In Vitro Biosynthetic eukaryotic organisms. Over 30 novel amino acids have been genetically Approaches to Protein encoded in response to unique triplet and quadruplet codons including Mutagenesis 39 fluorescent, photoreactive, and redox-active amino acids, glycosylated 4. In Vivo Protein amino acids, and amino acids with keto, azido, acetylenic, and heavy-atom- Mutagenesis 43 containing side chains. By removing the limitations imposed by the existing 20 amino acid code, it should be possible to generate proteins and perhaps 5. An Expanded Code 46 entire organisms with new or enhanced properties. 6. Outlook 61 1. Introduction The genetic codes of all known organisms specify the same functional roles to amino acid residues in proteins. Selectivity 20 amino acid building blocks. These building blocks contain a depends on the number and reactivity (dependent on both limited number of functional groups including carboxylic steric and electronic factors) of a particular amino acid side acids and amides, a thiol and thiol ether, alcohols, basic chain. -
Translational Control Using an Expanded Genetic Code
Review Translational Control using an Expanded Genetic Code Yusuke Kato Division of Biotechnology, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO), Oowashi 1-2, Tsukuba, Ibaraki 305-8634, Japan; [email protected]; Tel.: +81-29-838-6059 Received: 19 December 2018; Accepted: 15 February 2019; Published: 18 February 2019 Abstract: A bio-orthogonal and unnatural substance, such as an unnatural amino acid (Uaa), is an ideal regulator to control target gene expression in a synthetic gene circuit. Genetic code expansion technology has achieved Uaa incorporation into ribosomal synthesized proteins in vivo at specific sites designated by UAG stop codons. This site-specific Uaa incorporation can be used as a controller of target gene expression at the translational level by conditional read-through of internal UAG stop codons. Recent advances in optimization of site-specific Uaa incorporation for translational regulation have enabled more precise control over a wide range of novel important applications, such as Uaa-auxotrophy-based biological containment, live-attenuated vaccine, and high-yield zero-leakage expression systems, in which Uaa translational control is exclusively used as an essential genetic element. This review summarizes the history and recent advance of the translational control by conditional stop codon read-through, especially focusing on the methods using the site-specific Uaa incorporation. Keywords: genetic switch; synthetic biology; unnatural amino acids; translational regulation; biological containment; stop codon read-through 1. Introduction Conditional induction of gene expression is one of the most important technologies for constructing synthetic gene circuits, and such regulation has applications from basic research to industrial use. -
Reducing the Genetic Code Induces Massive Rearrangement of the Proteome
Reducing the genetic code induces massive rearrangement of the proteome Patrick O’Donoghuea,b, Laure Pratc, Martin Kucklickd, Johannes G. Schäferc, Katharina Riedele, Jesse Rinehartf,g, Dieter Söllc,h,1, and Ilka U. Heinemanna,1 Departments of aBiochemistry and bChemistry, The University of Western Ontario, London, ON N6A 5C1, Canada; Departments of cMolecular Biophysics and Biochemistry, fCellular and Molecular Physiology, and hChemistry, and gSystems Biology Institute, Yale University, New Haven, CT 06520; dDepartment of Microbiology, Technical University of Braunschweig, Braunschweig 38106, Germany; and eDivision of Microbial Physiology and Molecular Biology, University of Greifswald, Greifswald 17487, Germany Contributed by Dieter Söll, October 22, 2014 (sent for review September 29, 2014; reviewed by John A. Leigh) Expanding the genetic code is an important aim of synthetic Opening codons by reducing the genetic code is highly biology, but some organisms developed naturally expanded ge- promising, but it is unknown how removing 1 amino acid from netic codes long ago over the course of evolution. Less than 1% of the genetic code might impact the proteome or cellular viability. all sequenced genomes encode an operon that reassigns the stop Many genetic code variations are found in nature (15), including codon UAG to pyrrolysine (Pyl), a genetic code variant that results stop or sense codon reassignments, codon recoding, and natural from the biosynthesis of Pyl-tRNAPyl. To understand the selective code expansion (16). Pyrrolysine (Pyl) is a rare example of nat- advantage of genetically encoding more than 20 amino acids, we ural genetic code expansion. Evidence for genetically encoded constructed a markerless tRNAPyl deletion strain of Methanosarcina Pyl is found in <1% of all sequenced genomes (17). -
How Genes Work
Help Me Understand Genetics How Genes Work Reprinted from MedlinePlus Genetics U.S. National Library of Medicine National Institutes of Health Department of Health & Human Services Table of Contents 1 What are proteins and what do they do? 1 2 How do genes direct the production of proteins? 5 3 Can genes be turned on and off in cells? 7 4 What is epigenetics? 8 5 How do cells divide? 10 6 How do genes control the growth and division of cells? 12 7 How do geneticists indicate the location of a gene? 16 Reprinted from MedlinePlus Genetics (https://medlineplus.gov/genetics/) i How Genes Work 1 What are proteins and what do they do? Proteins are large, complex molecules that play many critical roles in the body. They do most of the work in cells and are required for the structure, function, and regulation of thebody’s tissues and organs. Proteins are made up of hundreds or thousands of smaller units called amino acids, which are attached to one another in long chains. There are 20 different types of amino acids that can be combined to make a protein. The sequence of amino acids determineseach protein’s unique 3-dimensional structure and its specific function. Aminoacids are coded by combinations of three DNA building blocks (nucleotides), determined by the sequence of genes. Proteins can be described according to their large range of functions in the body, listed inalphabetical order: Antibody. Antibodies bind to specific foreign particles, such as viruses and bacteria, to help protect the body. Example: Immunoglobulin G (IgG) (Figure 1) Enzyme. -
Non-Synonymous to Synonymous Substitutions Suggest That Orthologs Tend to Keep Their Functions, While Paralogs Are a Source of Functional Novelty
bioRxiv preprint doi: https://doi.org/10.1101/354704; this version posted July 23, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Non-synonymous to synonymous substitutions suggest that orthologs tend to keep their functions, while paralogs are a source of functional novelty Mario Esposito1, Gabriel Moreno-Hagelsieb1,* 1 Dept of Biology, Wilfrid Laurier University, Waterloo, Ontario, Canada N2L 3C5 * [email protected] Abstract Because orthologs diverge after speciation events, and paralogs after gene duplication, it is expected that orthologs should tend to keep their functions, while paralogs have been proposed as a source of new functions. This does not mean that paralogs should diverge much more than orthologs, but it certainly means that, if there is a difference, then orthologs should be more functionally stable. Since protein functional divergence follows from non-synonymous substitutions, here we present an analysis based on the ratio of non-synonymous to synonymous substitutions (dN=dS). The results showed orthologs to have noticeable and statistically significant lower values of dN=dS than paralogs, not only confirming that orthologs keep their functions better, butalso suggesting that paralogs are a readily source of functional novelty. Author summary Homologs are characters diverging from a common ancestor, with orthologs being homologs diverging after a speciation event, and paralogs diverging after a duplication event. Given those definitions, orthologs are expected to preserve their ancestral function, while paralogs have been proposed as potential sources of functional novelty. -
Site-Specific Incorporation of Unnatural Amino Acids Into Escherichia Coli Recombinant Protein: Methodology Development and Recent Achievement
Review Site-Specific Incorporation of Unnatural Amino Acids into Escherichia coli Recombinant Protein: Methodology Development and Recent Achievement Sviatlana Smolskaya 1,* and Yaroslav A. Andreev 1,2 1 Sechenov First Moscow State Medical University, Institute of Molecular Medicine, Trubetskaya str. 8, bld. 2, 119991 Moscow, Russia 2 Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, ul. Miklukho- Maklaya 16/10, 117997 Moscow, Russia; [email protected] * Correspondence: [email protected]; Tel.: +7-903-215-44-89 Received: 30 May 2019; Accepted: 25 June 2019; Published: 28 June 2019 Abstract: More than two decades ago a general method to genetically encode noncanonical or unnatural amino acids (NAAs) with diverse physical, chemical, or biological properties in bacteria, yeast, animals and mammalian cells was developed. More than 200 NAAs have been incorporated into recombinant proteins by means of non-endogenous aminoacyl-tRNA synthetase (aa-RS)/tRNA pair, an orthogonal pair, that directs site-specific incorporation of NAA encoded by a unique codon. The most established method to genetically encode NAAs in Escherichia coli is based on the usage of the desired mutant of Methanocaldococcus janaschii tyrosyl-tRNA synthetase (MjTyrRS) and cognate suppressor tRNA. The amber codon, the least-used stop codon in E. coli, assigns NAA. Until very recently the genetic code expansion technology suffered from a low yield of targeted proteins due to both incompatibilities of orthogonal pair with host cell translational machinery and the competition of suppressor tRNA with release factor (RF) for binding to nonsense codons. Here we describe the latest progress made to enhance nonsense suppression in E. -
Unbiased Estimate of Synonymous and Non-Synonymous Substitution Rates with Non-Stationary Base Composition
Manuscript submitted as an article for the methods section of MBE bioRxiv preprint doi: https://doi.org/10.1101/124925; this version posted April 6, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Unbiased estimate of synonymous and non-synonymous substitution rates with non-stationary base composition Laurent Gu´eguen∗ and Laurent Duret Laboratoire de Biologie et Biom´etrie Evolutive´ CNRS UMR 5558 {Universit´eClaude Bernard Lyon 1 { Universit´ede Lyon 43, bd du 11 novembre 1918,69622 VILLEURBANNE cedex ∗ [email protected] Abstract The measure of synonymous and non-synonymous substitution rates (dS and dN) is useful for assessing selection operating on protein sequences or for investigating mutational processes dN affecting genomes. In particular, the ratio dS is expected to be a good proxy of !, the probability of fixation of non-synonymous mutations relative to that of neutral mutations. Standard methods for estimating dN, dS or ! rely on the assumption that the base composition of sequences is at the equilibrium of the evolutionary process. In many clades, this assumption of stationarity is in fact incorrect, and we show here through simulations and through analyses of empirical data that non-stationarity biases the estimate of dN, dS and !. We show that the bias in the estimate of ! can be fixed by explicitly considering non-stationarity in the modeling of codon evolution, in a maximum likelihood framework. -
Codon Usage Vis-A-Vis Start and Stop Codon Context Analysis of Three Dicot Species
Journal of Genetics, Vol. 97, No. 1, March 2018, pp. 97–107 © Indian Academy of Sciences https://doi.org/10.1007/s12041-018-0892-1 RESEARCH ARTICLE Codon usage vis-a-vis start and stop codon context analysis of three dicot species PROSENJIT PAUL, ARUP KUMAR MALAKAR and SUPRIYO CHAKRABORTY∗ Department of Biotechnology, Assam University, Silchar 788 011, India *For correspondence. E-mail: [email protected]. Received 17 February 2017; revised 13 May 2017; accepted 16 June 2017; published online 20 February 2018 Abstract. To understand the variation in genomic composition and its effect on codon usage, we performed the comparative analysis of codon usage and nucleotide usage in the genes of three dicots, Glycine max, Arabidopsis thaliana and Medicago truncatula. The dicot genes were found to be A/T rich and have predominantly A-ending and/or T-ending codons. GC3s directly mimic the usage pattern of global GC content. Relative synonymous codon usage analysis suggests that the high usage frequency of A/T over G/C mononucleotide containing codons in AT-rich dicot genome is due to compositional constraint as a factor of codon usage bias. Odds ratio analysis identified the dinucleotides TpG, TpC, GpA, CpA and CpT as over-represented, where, CpG and TpA as under-represented dinucleotides. The results of (NcExp−NcObs)/NcExp plot suggests that selection pressure other than mutation played a significant role in influencing the pattern of codon usage in these dicots. PR2 analysis revealed the significant role of selection pressure on codon usage. Analysis of varience on codon usage at start and stop site showed variation in codon selection in these sites. -
The KA /KS Ratio Test for Assessing the Protein
Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Methods The KA/KS Ratio Test for Assessing the Protein-Coding Potential of Genomic Regions: An Empirical and Simulation Study Anton Nekrutenko, Kateryna D. Makova, and Wen-Hsiung Li1 Department of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637, USA Comparative genomics is a simple, powerful way to increase the accuracy of gene prediction. In this study, we show the utility of a simple test for the identification of protein-coding exons using human/mouse sequence comparisons. The test takes advantage of the fact that in the vast majority of coding regions, synonymous substitutions (KS) occur much more frequently than nonsynonymous ones (KA) and uses the KA/KS ratio as the criterion. We show the following: (1) most of the human and mouse exons are sufficiently long and have a suitable degree of sequence divergence for the test to perform reliably; (2) the test is suited for the identification of long exons and single exon genes, which are difficult to predict by current methods; (3) the test has a false-negative rate, lower than most of current gene prediction methods and a false-positive rate lower than all current methods; (4) the test has been automated and can be used in combination with other existing gene-prediction methods. Although computational gene prediction has made much test), which is described below. Nucleotide substitutions in progress over the last decade, its reliability remains a challeng- protein-coding regions are divided into two classes, ones that ing problem. -
Basic Molecular Genetics for Epidemiologists F Calafell, N Malats
398 GLOSSARY Basic molecular genetics for epidemiologists F Calafell, N Malats ............................................................................................................................. J Epidemiol Community Health 2003;57:398–400 This is the first of a series of three glossaries on CHROMOSOME molecular genetics. This article focuses on basic Linear or (in bacteria and organelles) circular DNA molecule that constitutes the basic physical molecular terms. block of heredity. Chromosomes in diploid organ- .......................................................................... isms such as humans come in pairs; each member of a pair is inherited from one of the parents. general increase in the number of epide- Humans carry 23 pairs of chromosomes (22 pairs miological research articles that apply basic of autosomes and two sex chromosomes); chromo- science methods in their studies, resulting somes are distinguished by their length (from 48 A to 257 million base pairs) and by their banding in what is known as both molecular and genetic epidemiology, is evident. Actually, genetics has pattern when stained with appropriate methods. come into the epidemiological scene with plenty Homologous chromosome of new sophisticated concepts and methodologi- cal issues. Each of the chromosomes in a pair with respect to This fact led the editors of the journal to offer the other. Homologous chromosomes carry the you a glossary of terms commonly used in papers same set of genes, and recombine with each other applying genetic methods to health problems to during meiosis. facilitate your “walking” around the journal Sex chromosome issues and enjoying the articles while learning. Sex determining chromosome. In humans, as in Obviously, the topics are so extensive and inno- all other mammals, embryos carrying XX sex vative that a single short glossary would not be chromosomes develop as females, whereas XY sufficient to provide you with the minimum embryos develop as males.