DNA Barcoding: an Effective Technique in Molecular Taxonomy
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Using DNA Barcodes to Identify and Classify Living Things
Using DNA Barcodes to Identify and Classify Living Things www.dnabarcoding101.org LABORATORY Using DNA Barcodes to Identify and Classify Living Things OBJECTIVES This laboratory demonstrates several important concepts of modern biology. During this laboratory, you will: • Collect and analyze sequence data from plants, fungi, or animals—or products made from them. • Use DNA sequence to identify species. • Explore relationships between species. In addition, this laboratory utilizes several experimental and bioinformatics methods in modern biological research. You will: • Collect plants, fungi, animals, or products in your local environment or neighborhood. • Extract and purify DNA from tissue or processed material. • Amplify a specific region of the chloroplast, mitochondrial, or nuclear genome by polymerase chain reaction (PCR) and analyze PCR products by gel electrophoresis. • Use the Basic Local Alignment Search Tool (BLAST) to identify sequences in databases. • Use multiple sequence alignment and tree-building tools to analyze phylogenetic relation - ships. INTRODUCTION Taxonomy, the science of classifying living things according to shared features, has always been a part of human society. Carl Linneas formalized biological classifi - cation with his system of binomial nomenclature that assigns each organism a genus and species name. Identifying organisms has grown in importance as we monitor the biological effects of global climate change and attempt to preserve species diversity in the face of accelerating habitat destruction. We know very little about the diversity of plants and animals—let alone microbes—living in many unique ecosystems on earth. Less than two million of the estimated 5–50 million plant and animal species have been identified. Scientists agree that the yearly rate of extinction has increased from about one species per million to 100–1,000 species per million. -
DNA Barcoding Distinguishes Pest Species of the Black Fly Genus <I
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications: Department of Entomology Entomology, Department of 11-2013 DNA Barcoding Distinguishes Pest Species of the Black Fly Genus Cnephia (Diptera: Simuliidae) I. M. Confitti University of Toronto K. P. Pruess University of Nebraska-Lincoln A. Cywinska Ingenomics, Inc. T. O. Powers University of Nebraska-Lincoln D. C. Currie University of Toronto and Royal Ontario Museum, [email protected] Follow this and additional works at: http://digitalcommons.unl.edu/entomologyfacpub Part of the Entomology Commons Confitti, I. M.; Pruess, K. P.; Cywinska, A.; Powers, T. O.; and Currie, D. C., "DNA Barcoding Distinguishes Pest Species of the Black Fly Genus Cnephia (Diptera: Simuliidae)" (2013). Faculty Publications: Department of Entomology. 616. http://digitalcommons.unl.edu/entomologyfacpub/616 This Article is brought to you for free and open access by the Entomology, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Publications: Department of Entomology by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. MOLECULAR BIOLOGY/GENOMICS DNA Barcoding Distinguishes Pest Species of the Black Fly Genus Cnephia (Diptera: Simuliidae) 1,2 3 4 5 1,2,6 I. M. CONFLITTI, K. P. PRUESS, A. CYWINSKA, T. O. POWERS, AND D. C. CURRIE J. Med. Entomol. 50(6): 1250Ð1260 (2013); DOI: http://dx.doi.org/10.1603/ME13063 ABSTRACT Accurate species identiÞcation is essential for cost-effective pest control strategies. We tested the utility of COI barcodes for identifying members of the black ßy genus Cnephia Enderlein (Diptera: Simuliidae). Our efforts focus on four Nearctic Cnephia speciesÑCnephia dacotensis (Dyar & Shannon), Cnephia eremities Shewell, Cnephia ornithophilia (Davies, Peterson & Wood), and Cnephia pecuarum (Riley)Ñthe latter two being current or potential targets of biological control programs. -
DNA Barcoding Analysis and Phylogenetic Relation of Mangroves in Guangdong Province, China
Article DNA Barcoding Analysis and Phylogenetic Relation of Mangroves in Guangdong Province, China Feng Wu 1,2 , Mei Li 1, Baowen Liao 1,*, Xin Shi 1 and Yong Xu 3,4 1 Key Laboratory of State Forestry Administration on Tropical Forestry Research, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China; [email protected] (F.W.); [email protected] (M.L.); [email protected] (X.S.) 2 Zhaoqing Xinghu National Wetland Park Management Center, Zhaoqing 526060, China 3 Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China; [email protected] 4 University of Chinese Academy of Sciences, Beijing 100049, China * Correspondence: [email protected]; Tel.: +86-020-8702-8494 Received: 9 December 2018; Accepted: 4 January 2019; Published: 12 January 2019 Abstract: Mangroves are distributed in the transition zone between sea and land, mostly in tropical and subtropical areas. They provide important ecosystem services and are therefore economically valuable. DNA barcoding is a useful tool for species identification and phylogenetic reconstruction. To evaluate the effectiveness of DNA barcoding in identifying mangrove species, we sampled 135 individuals representing 23 species, 22 genera, and 17 families from Zhanjiang, Shenzhen, Huizhou, and Shantou in the Guangdong province, China. We tested the universality of four DNA barcodes, namely rbcL, matK, trnH-psbA, and the internal transcribed spacer of nuclear ribosomal DNA (ITS), and examined their efficacy for species identification and the phylogenetic reconstruction of mangroves. The success rates for PCR amplification of rbcL, matK, trnH-psbA, and ITS were 100%, 80.29% ± 8.48%, 99.38% ± 1.25%, and 97.18% ± 3.25%, respectively, and the rates of DNA sequencing were 100%, 75.04% ± 6.26%, 94.57% ± 5.06%, and 83.35% ± 4.05%, respectively. -
Cristescu TREE 2014.Pdf
TREE-1853; No. of Pages 6 Opinion From barcoding single individuals to metabarcoding biological communities: towards an integrative approach to the study of global biodiversity Melania E. Cristescu Department of Biology, McGill University, Montreal, QC H3A 1B1, Canada DNA-based species identification, known as barcoding, introduced by Arnot et al. [6] and was firmly advanced transformed the traditional approach to the study of and standardized by Hebert et al. [7]. The simple idea of biodiversity science. The field is transitioning from bar- using a short DNA fragment as a barcode (see Glossary) for coding individuals to metabarcoding communities. This identifying species across the Metazoa has been both revolution involves new sequencing technologies, bio- strongly embraced and vigorously scrutinized over the past informatics pipelines, computational infrastructure, and decade [8,9]. Nevertheless, the efforts led by Paul Hebert, experimental designs. In this dynamic genomics land- and supported by the Consortium for the Barcode of Life scape, metabarcoding studies remain insular and biodi- (CBoL; http://www.barcodeoflife.org/) resulted in a global versity estimates depend on the particular methods enterprise that combined molecular tools with valuable but used. In this opinion article, I discuss the need for a scarce taxonomic expertise [10,11]. Today, DNA barcodes coordinated advancement of DNA-based species identi- are being used commonly to identify specimens and the fication that integrates taxonomic and barcoding infor- approach has wide applications in biodiversity conserva- mation. Such an approach would facilitate access to tion, environmental management, invasion biology, the almost 3 centuries of taxonomic knowledge and 1 de- study of trophic interactions, and food safety [12–14]. -
Marker Genes I. Selectable Marker Genes and II
Marker genes Marker systems are tools for studying the transfer of genes into an experimental organism. In gene transfer studies, a foreign gene, called a transgene, is introduced into an organism, in a process called transformation. A common problem for researchers is to determine quickly and easily if the target cells of the organism have actually taken up the transgene. A marker allows the researcher to determine whether the transgene has been transferred, where it is located, and when it is expressed. Marker genes exist in two broad categories: I. Selectable marker genes and II. Reporter genes. Selectable Marker Genes: The selectable marker genes are usually an integral part of plant transformation system. They are present in the vector along with the target gene. In a majority of cases, the selection is based on the survival of the transformed cells when grown on a medium containing a toxic substance (antibiotic, herbicide, antimetabolite). This is due to the fact that the selectable marker gene confers resistance to toxicity in the transformed cells, while the non- transformed cells get killed. A large number of selectable marker genes are available and they are grouped into three categories— antibiotic resistance genes, antimetabolite marker genes and herbicide resistance genes. (a) Antibiotic Resistance Genes In many plant transformation systems, antibiotic resistance genes (particularly of E. coli) are used as selectable markers. Despite the plants being eukaryotic in nature, antibiotics can effectively inhibit the protein biosynthesis in the cellular organelles, particularly in chloroplasts. Eg: Neomycin phosphotransferase II (npt II gene): The most widely used selectable marker is npt II gene encoding the enzyme neomycin phospho•transferase II (NPT II). -
A Multipurpose Toolkit to Enable Advanced Genome Engineering in Plantsopen
The Plant Cell, Vol. 29: 1196–1217, June 2017, www.plantcell.org ã 2017 ASPB. LARGE-SCALE BIOLOGY ARTICLE A Multipurpose Toolkit to Enable Advanced Genome Engineering in PlantsOPEN Tomásˇ Cermák,ˇ a Shaun J. Curtin,b,c,1 Javier Gil-Humanes,a,2 Radim Cegan,ˇ d Thomas J.Y. Kono,c Eva Konecná,ˇ a Joseph J. Belanto,a Colby G. Starker,a Jade W. Mathre,a Rebecca L. Greenstein,a and Daniel F. Voytasa,3 a Department of Genetics, Cell Biology, and Development and Center for Genome Engineering, University of Minnesota, Minneapolis, Minnesota 55455 b Department of Plant Pathology, University of Minnesota, St. Paul, Minnesota 55108 c Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota 55108 d Department of Plant Developmental Genetics, Institute of Biophysics of the CAS, CZ-61265 Brno, Czech Republic ORCID IDs: 0000-0002-3285-0320 (T.C.); 0000-0002-9528-3335 (S.J.C.); 0000-0002-5772-4558 (J.W.M.); 0000-0002-0426-4877 (R.L.G.); 0000-0002-4944-1224 (D.F.V.) We report a comprehensive toolkit that enables targeted, specific modification of monocot and dicot genomes using a variety of genome engineering approaches. Our reagents, based on transcription activator-like effector nucleases (TALENs) and the clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 system, are systematized for fast, modular cloning and accommodate diverse regulatory sequences to drive reagent expression. Vectors are optimized to create either single or multiple gene knockouts and large chromosomal deletions. Moreover, integration of geminivirus-based vectors enables precise gene editing through homologous recombination. -
Automated, Phylogeny-Based Genotype Delimitation of the Hepatitis Viruses HBV and HCV
Automated, phylogeny-based genotype delimitation of the Hepatitis Viruses HBV and HCV Dora Serdari1, Evangelia-Georgia Kostaki2, Dimitrios Paraskevis2, Alexandros Stamatakis1,3 and Paschalia Kapli4 1 The Exelixis Lab, Scientific Computing Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany 2 Department of Hygiene Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece 3 Institute for Theoretical Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany 4 Centre for Life's Origins and Evolution, Department of Genetics Evolution and Environment, University College London, University of London, London, United Kingdom ABSTRACT Background. The classification of hepatitis viruses still predominantly relies on ad hoc criteria, i.e., phenotypic traits and arbitrary genetic distance thresholds. Given the subjectivity of such practices coupled with the constant sequencing of samples and discovery of new strains, this manual approach to virus classification becomes cumbersome and impossible to generalize. Methods. Using two well-studied hepatitis virus datasets, HBV and HCV, we assess if computational methods for molecular species delimitation that are typically applied to barcoding biodiversity studies can also be successfully deployed for hepatitis virus classification. For comparison, we also used ABGD, a tool that in contrast to other distance methods attempts to automatically identify the barcoding gap using pairwise genetic distances for a set of aligned input sequences. Results—Discussion. We found that the mPTP species delimitation tool identified even without adapting its default parameters taxonomic clusters that either correspond to the currently acknowledged genotypes or to known subdivision of genotypes Submitted 17 April 2019 (subtypes or subgenotypes). In the cases where the delimited cluster corresponded Accepted 26 August 2019 Published 25 October 2019 to subtype or subgenotype, there were previous concerns that their status may be underestimated. -
High-Throughput Sequencing for Algal Systematics
High-throughput sequencing for algal systematics Mariana C. Oliveiraa, Sonja I. Repettib, Cintia Ihaab, Christopher J. Jacksonb, Pilar Díaz-Tapiabc, Karoline Magalhães Ferreira Lubianaa, Valéria Cassanoa, Joana F. Costab, Ma. Chiela M. Cremenb, Vanessa R. Marcelinobde, Heroen Verbruggenb a Department of Botany, Biosciences Institute, University of São Paulo, São Paulo 05508-090, Brazil b School of BioSciences, University of Melbourne, Victoria 3010, Australia c Coastal Biology Research Group, Faculty of Sciences and Centre for Advanced Scientific Research (CICA), University of A Coruña, 15071, A Coruña, Spain d Marie Bashir Institute for Infectious Diseases and Biosecurity and Sydney Medical School, University of Sydney, New South Wales 2006, Australia e Westmead Institute for Medical Research, Westmead, New South Wales 2145, Australia Abstract In recent years, the use of molecular data in algal systematics has increased as high-throughput sequencing (HTS) has become more accessible, generating very large data sets at a reasonable cost. In this perspectives paper, our goal is to describe how HTS technologies can advance algal systematics. Following an introduction to some common HTS technologies, we discuss how metabarcoding can accelerate algal species discovery. We show how various HTS methods can be applied to generate datasets for accurate species delimitation, and how HTS can be applied to historical type specimens to assist the nomenclature process. Finally, we discuss how HTS data such as organellar genomes and transcriptomes can be used to construct well resolved phylogenies, leading to a stable and natural classification of algal groups. We include examples of bioinformatic workflows that may be applied to process data for each purpose, along with common programs used to achieve each step. -
Dna Barcodes, Partitioned Phylogenetic Models, And
LARGE DATASETS AND TRICHOPTERA PHYLOGENETICS: DNA BARCODES, PARTITIONED PHYLOGENETIC MODELS, AND THE EVOLUTION OF PHRYGANEIDAE By PAUL BRYAN FRANDSEN A dissertation submitted to the Graduate School-New Brunswick Rutgers, The State University of New Jersey In partial fulfillment of the requirements For the degree of Doctor of Philosophy Graduate Program in Entomology Written under the direction of Karl M. Kjer And approved by _____________________________________ _____________________________________ _____________________________________ _____________________________________ New Brunswick, New Jersey OCTOBER 2015 ABSTRACT OF THE DISSERTATION Large datasets and Trichoptera phylogenetics: DNA barcodes, partitioned phylogenetic models, and the evolution of Phryganeidae By PAUL BRYAN FRANDSEN Dissertation Director: Karl M. Kjer Large datasets in phylogenetics—those with a large number of taxa, e.g. DNA barcode data sets, and those with a large amount of sequence data per taxon, e.g. data sets generated from high throughput sequencing—pose both exciting possibilities and interesting analytical problems. The analysis of both types of large datasets is explored in this dissertation. First, the use of DNA barcodes in phylogenetics is investigated via the generation of phylogenetic trees for known monophyletic clades. Barcodes are found to be useful in shallow scale phylogenetic analyses when given a well-supported scaffold on which to place them. One of the analytical challenges posed by large phylogenetic datasets is the selection of appropriate partitioned models of molecular evolution. The most commonly used model partitioning strategies can fail to characterize the true variation of the evolutionary process and this effect can be exacerbated when applied to large datasets. A new, scalable algorithm for the automatic selection ! ii! of partitioned models of molecular evolution is proposed with an eye toward reducing systematic error in phylogenomics. -
ß-Galactosidase Marker Genes to Tag and Track Human Hematopoietic Cells
b-Galactosidase marker genes to tag and track human hematopoietic cells Claude Bagnis, Christian Chabannon, and Patrice Mannoni Centre de The´rapie Ge´nique, Institut Paoli-Calmettes, Centre Re´gional de Lutte contre le Cancer, Marseille, France. Key words: LacZ; human hematopoiesis; stem cell; gene marking; retroviruses; gene therapy. nalysis of the behavior and fate of hematopoietic transmissible, and (c) easily detectable in situ; in addi- Acells in vivo is an effective method of improving our tion, the marker gene or its expression product should understanding of normal hematopoiesis, which relies on not be horizontally transmissible. To achieve these goals a complex interactive network including cytokines, che- with the aim of tagging human hematopoietic cells, we mokines, physical contact, and undefined interaction decided to use the retroviral transfer of the bacterial kinetics, and of establishing the use of hematopoietic b-galactosidase (b-gal) activity encoded by the LacZ cells as therapeutic vehicles in gene therapy.1 gene as a cell-marking activity. Analysis of animal models or patients reinfused with hematopoietic cells is considered important in address- ing these issues. In an autologous context, the most relevant context for this purpose, the tracking of reim- planted cells is impossible to achieve without markers THE LacZ GENE that are able to discriminate between reinfused cells and LacZ and neomycin-resistance (neoR) genes host cells; this emphasizes the need to develop safe, efficient, and easily performed marking strategies. The Thus far, only the neoR gene that induces resistance to injection of nontoxic chemical markers has been widely G418, a neomycin analog, has been used as a genetic used to study the embryonic development of animal marker in clinical trials dealing with hematopoietic cells. -
XIV- UG 6Th Semester
Input Template for Content Writers (e-Text and Learn More) 1. Details of Module and its Structure Module Detail Subject Name <Botany > Paper Name <Plant Genetic Engineering > Module Name/Title < Selectable and Screenable Markers> Module Id <> Pre-requisites A basic idea about plant genetic engineering Objectives To make the students aware of Selectable and Screenable markers to know whether the transgene has been transferred, where it is located, and when it is expressed. Structure of Module / Syllabus of a module (Define Topic / Sub-topic of module ) < Selectable and <Sub-topic Name1>, <Sub-topic Name2> Screenable Markers > Keywords selectable, screenable markers, 2. 3. 2. Development Team Role Name Affiliation Subject Coordinator Dr. Sujata Bhargava Savitribai Phule Pune University Paper Coordinator Dr. Rohini Sreevathsa National Research Centre on Plant Biotechnology, Pusa, New Delhi Content Writer/Author (CW) Dr. Nagaveni V University of Agricultural Sciences, Bangalore Content Reviewer (CR) <Dr. Rohini Sreevathsa> Language Editor (LE) <Dr. A.M. Latey> University of Pune Management of Library and Information Network Library Science Network TABLE OF CONTENTS (for textual content) 1. Introduction: Markers, Types of Markers 2. SELECTABLE MARKERS 2.1 npt-II (neomycin phosphotransferase) 2.2 bar and pat (phosphinothricin acetyltransferase) 2.3 hpt (hygromycin phosphotransferase) 2.4 epsps (5-enolpyruvylshikimate-3-phosphate synthase) 2.5 Other Dominant Selectable Markers 3. SCREENABLE MARKERS 3.1 Green fluorescent protein (GFP) 3.2 GUS assay 3.3 Chloramphenicol Acetyltransferase or CAT 3.4 Luciferase 3.5 Blue/white screening 4. APPLICATION OF REPORTER GENE/SCREENABLE MARKERS 4.1 Transformation and transfection assays 4.2 Gene expression assays 4.3 Promoter assays 5. -
Gene Cloning
PLNT2530 2021 Unit 6a Gene Cloning Vectors Molecular Biotechnology (Ch 4) Principles of Gene Manipulation (Ch 3 & 4) Analysis of Genes and Genomes (Ch 5) Unless otherwise cited or referenced, all content of this presenataion is licensed under the Creative Commons License 1 Attribution Share-Alike 2.5 Canada Plasmids Gene 1 Naturally occurring plasmids ori -occur widely in bacteria -are covalently closed circular dsDNA -are replicons, stably inherited as extra-chromosomal DNA -can be 1 kbp to 500 kbp in size (compared to 4000 kbp chromosome) -bacteria can contain several different types of plasmid simultaneously -many naturally occurring plasmids carry genes for restriction enzymes, antibiotic resistance, or other genes 2 Bacterial Vectors All vectors : 1. -must replicate autonomously in ori - origin of replication their specific host even when sequence at which DNA polymerase joined to foreign DNA initiates replication 2. - should be easily separated from host chromosomal DNA E. coli chromosomal DNA: ~ 4 million bp typical plasmid vector: ~ 3 to 10 kb Most modern cloning vectors in E. coli are derived from naturally-ocurring plasmid col E1. Most of col E1 was deleted except for an origin of replication and an antibiotic resistance gene. 3 Vectors Types cloning small plasmids- can occur naturally in as circular dsDNA in fragments bacteria (up to 15 kb) eg. single genes bacteriophage -viruses of bacteria (~10-50 kb) used in the cDNA cloning, high-efficiency construction of cDNA and genomic libraries cloning BAC-bacterial artificial chromosome (130-150 kb genomic libraries YAC-Yeast artificial chromosome (1000-2000 kb) with large inserts Each type of vector has specific applications but primary function is to carry foreign DNA (foreign to bacteria) and have it replicated by the bacteria 4 Introduction of foreign DNA into E.