Taxonomy, Systematics, and Phylogeny
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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. -
Synthesis of Phylogeny and Taxonomy Into a Comprehensive Tree of Life
Synthesis of phylogeny and taxonomy into a comprehensive tree of life Cody E. Hinchliffa,1, Stephen A. Smitha,1,2, James F. Allmanb, J. Gordon Burleighc, Ruchi Chaudharyc, Lyndon M. Coghilld, Keith A. Crandalle, Jiabin Dengc, Bryan T. Drewf, Romina Gazisg, Karl Gudeh, David S. Hibbettg, Laura A. Katzi, H. Dail Laughinghouse IVi, Emily Jane McTavishj, Peter E. Midfordd, Christopher L. Owenc, Richard H. Reed, Jonathan A. Reesk, Douglas E. Soltisc,l, Tiffani Williamsm, and Karen A. Cranstonk,2 aEcology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109; bInterrobang Corporation, Wake Forest, NC 27587; cDepartment of Biology, University of Florida, Gainesville, FL 32611; dField Museum of Natural History, Chicago, IL 60605; eComputational Biology Institute, George Washington University, Ashburn, VA 20147; fDepartment of Biology, University of Nebraska-Kearney, Kearney, NE 68849; gDepartment of Biology, Clark University, Worcester, MA 01610; hSchool of Journalism, Michigan State University, East Lansing, MI 48824; iBiological Science, Clark Science Center, Smith College, Northampton, MA 01063; jDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045; kNational Evolutionary Synthesis Center, Duke University, Durham, NC 27705; lFlorida Museum of Natural History, University of Florida, Gainesville, FL 32611; and mComputer Science and Engineering, Texas A&M University, College Station, TX 77843 Edited by David M. Hillis, The University of Texas at Austin, Austin, TX, and approved July 28, 2015 (received for review December 3, 2014) Reconstructing the phylogenetic relationships that unite all line- published phylogenies are available only as journal figures, rather ages (the tree of life) is a grand challenge. The paucity of homologous than in electronic formats that can be integrated into databases and character data across disparately related lineages currently renders synthesis methods (7–9). -
Principles of Plant Taxonomy Bot
PRINCIPLES OF PLANT TAXONOMY BOT 222 Dr. M. Ajmal Ali, PhD 1 What is Taxonomy / Systematics ? Animal group No. of species Amphibians 6,199 Birds 9,956 Fish 30,000 Mammals 5,416 Tundra Reptiles 8,240 Subtotal 59,811 Grassland Forest Insects 950,000 Molluscs 81,000 Q: Why we keep the stuffs of our home Crustaceans 40,000 at the fixed place or arrange into some Corals 2,175 kinds of system? Desert Others 130,200 Rain forest Total 1,203,375 • Every Human being is a Taxonomist Plants No. of species Mosses 15,000 Ferns and allies 13,025 Gymnosperms 980 Dicotyledons 199,350 Monocotyledons 59,300 Green Algae 3,715 Red Algae 5,956 Lichens 10,000 Mushrooms 16,000 Brown Algae 2,849 Subtotal 28,849 Total 1,589,361 • We have millions of different kind of plants, animals and microorganism. We need to scientifically identify, name and classify all the living organism. • Taxonomy / Systematics is the branch of science deals with classification of organism. 2 • Q. What is Plant Taxonomy / Plant systematics We study plants because: Plants convert Carbon dioxide gas into Every things we eat comes Plants produce oxygen. We breathe sugars through the process of directly or indirectly from oxygen. We cannot live without photosynthesis. plants. oxygen. Many chemicals produced by the Study of plants science helps to Study of plants science helps plants used as learn more about the natural Plants provide fibres for paper or fabric. to conserve endangered medicine. world plants. We have millions of different kind of plants, animals and microorganism. -
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]. -
The Taxonomy of Human Evolved Psychological Adaptations
Evo Edu Outreach (2012) 5:312–320 DOI 10.1007/s12052-012-0428-8 EVOLUTION AND EDUCATION RESOURCES PsychTable.org: The Taxonomy of Human Evolved Psychological Adaptations Niruban Balachandran & Daniel J. Glass Published online: 8 July 2012 # Springer Science+Business Media, LLC 2012 Abstract We announce the launch of PsychTable.org,a Introduction collaborative web-based project devoted to classifying and evaluating evolved psychological adaptations The timing is right to establish a classification system for (EPAs), geared toward researchers, educators, students, human evolved psychological adaptations (EPAs). Several and the general public. The website works by aggregat- factors have coalesced to create a unique opportunity to de- ing citations which support or challenge the existence of velop a taxonomy that will facilitate the expansion of a culture each purported EPA, using a mathematical algorithm to of both synthesis and empirical rigor in the evolutionary assign an evidentiary strength score to each, and gener- behavioral sciences, including disciplines such as evolution- ating a table which represents the current but ever- ary cognitive neuroscience, behavioral ecology, “evo-devo,” changing state of the empirical evidence. Citations are primatology, evolutionary anthropology, human ethology, ge- added and assigned evaluative ratings by both general netics, and others. users and an international community of expert contrib- These aforementioned factors include: a large international utors; as such, the content of the site will represent the body of research describing hundreds of amassed EPAs; a consensus of the scientific community and new research global research community of evolutionary behavioral scien- opportunities. PsychTable has features for achieving empir- tists that recognizes the importance of both synthesis and ical meta-goals such as quality control, hypothesis testing, classification; the ascent of evolutionary psychology as a cross-disciplinary collaboration, and didactic utility. -
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. -
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. -
Sociobiology 65(4): 645-653 (October, 2018) Special Issue DOI: 10.13102/Sociobiology.V65i4.3464
Sociobiology 65(4): 645-653 (October, 2018) Special Issue DOI: 10.13102/sociobiology.v65i4.3464 Sociobiology An international journal on social insects Research article - Bees Two Colors, One Species: The Case of Melissodes nigroaenea (Apidae: Eucerini), an Important Pollinator of Cotton Fields in Brazil C Grando1,2, ND Amon2,6, SJ Clough3, N Guo3, W Wei3, P Azevedo1,4, MM López-Uribe2, MI Zucchi5 1 - Institute of Biology, University of Campinas, Campinas, São Paulo, Brazil 2 - Department of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, USA 3 - Department of Crop Science, University of Illinois at Urbana-Champaign, Urbana, USA 4 - Centro de Estudos em Insetos Sociais, Universidade Estadual Paulista “Julio de Mesquita Filho”, Rio Claro, São Paulo, Brazil 5 - Agência Paulista de Tecnologia dos Agronegócios, Pólo Regional Centro-Sul, Piracicaba, São Paulo, Brazil 6 - Department of Entomology, University of Wisconsin-Madison, Madison, USA Article History Abstract Accurate taxonomic delimitation in ecological research is absolutely critical as Edited by studies that seek to evaluate levels of biodiversity and quantify human effects on Eduardo Almeida, USP, Brazil Received 10 May 2018 the environment are rapidly undertaken. Coloration is a widely used morphological Initial acceptance 02 July 2018 character for species identification through dichotomous keys. However, taxonomic Final acceptance 26 August 2018 identification based upon coloration is often unreliable because this character can Publication date 11 October 2018 exhibit high degree of intraspecific variation. An uncertain interpretation of mesosoma color-morphs (yellow or black) occurred when we used this character, in association Keywords Melissodes Cytochrome oxidase I, Bayesian with the bristle bands in the TII, for the identification of eucerine bee phylogeny, bees, barcoding gap. -
Botanical Classification and Nomenclature an Introduction —
Botanical classification and nomenclature an introduction — Marc S.M. Sosef Jérôme Degreef Henry Engledow Pierre Meerts Botanical classification and nomenclature an introduction — Marc S.M. Sosef Jérôme Degreef Henry Engledow Pierre Meerts by Marc S.M. Sosef1, Jérôme Degreef1,2, Henry Engledow1 & Pierre Meerts3 1 Meise Botanic Garden, Nieuwelaan 38, B-1860 Meise, Belgium 2 Service Général de l’Enseignement supérieur et de la Recherche scientifique, Fédération Wallonie-Bruxelles, Rue A. Lavallée 1, B-1080 Brussels, Belgium 3 Herbarium et bibliothèque de botanique africaine, Université Libre de Bruxelles, Av. F.D. Roosevelt 50, CP 265, B-1050 Brussels, Belgium Copyright © 2020 Meise Botanic Garden, Nieuwelaan 38, 1860 Meise, Belgium. Printed in Belgium by Gewadrupo, Arendonk. This publication is published and distributed in Open Access under the Creative Commons Attribution 4.0 International license (CC-BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. A PDF file of this publication can be ordered, free of charge (send an email to [email protected]), or downloaded from the webshop of Meise Botanic Garden at http://shopbotanicgarden.weezbe.com. DOI: 10.5281/zenodo.3706707 CIP Royal Library Albert I, Brussels Botanical classification and nomenclature, an introduction. Marc S.M. Sosef, Jérôme Degreef, Henry Engledow & Pierre Meerts - Meise, Meise Botanic Garden, 2020. - 72 p.; ill.; 22 x 15 cm. ISBN 9789492663207 Subject: Botany D/2020/0325/002 Content Introduction . 5 1. The history of classification . 9 1.1 Theophrastus to the Middle Ages . 11 1.2 Renaissance, Pre-Linnean period . 13 1.3 Linnaeus and the Linnaeans . -
Definitions in Phylogenetic Taxonomy
Syst. Biol. 48(2):329–351, 1999 Denitions in PhylogeneticTaxonomy:Critique and Rationale PAUL C. SERENO Department of Organismal Biologyand Anatomy, Universityof Chicago, 1027E. 57thStreet, Chicago, Illinois 60637, USA; E-mail: [email protected] Abstract.—Ageneralrationale forthe formulation andplacement of taxonomic denitions in phy- logenetic taxonomyis proposed, andcommonly used terms such as“crown taxon”or “ node-based denition” are more precisely dened. In the formulation of phylogenetic denitions, nested refer- ence taxastabilize taxonomic content. Adenitional conguration termed a node-stem triplet also stabilizes the relationship between the trio of taxaat abranchpoint,in the face of local changein phylogenetic relationships oraddition/ deletion of taxa.Crown-total taxonomiesuse survivorship asa criterion forplacement of node-stem triplets within ataxonomic hierarchy.Diversity,morphol- ogy,andtradition alsoconstitute heuristic criteria forplacement of node-stem triplets. [Content; crown; denition; node;phylogeny; stability; stem; taxonomy.] Doesone type ofphylogenetic denition Mostphylogenetic denitions have been (apomorphy,node,stem) stabilize the taxo- constructedin the systematicliterature since nomiccontent of ataxonmore than another then withoutexplanation or justi cation for in the face oflocal change of relationships? the particulartype ofde nition used. The Isone type of phylogenetic denition more justication given forpreferential use of suitablefor clades with unresolved basalre- node- andstem-based de nitions for crown