Cryptic Speciation Among Meiofaunal Flatworms Henry J
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Lesson 4 Plant and Animal Classification and Identification
LESSON 4 PLANT AND ANIMAL CLASSIFICATION AND IDENTIFICATION Aim Become familiar with the basic ways in which plants and animals can be classified and identified CLASSIFICATION OF ORGANISMS Living organisms that are relevant to the ecotourism tour guide are generally divided into two main groups of things: ANIMALS........and..........PLANTS The boundaries between these two groups are not always clear, and there is an increasing tendency to recognise as many as five or six kingdoms. However, for our purposes we will stick with the two kingdoms. Each of these main groups is divided up into a number of smaller groups called 'PHYLA' (or Phylum). Each phylum has certain broad characteristics which distinguish it from other groups of plants or animals. For example, all flowering plants are in the phyla 'Anthophyta' (if a plant has a flower it is a member of the phyla 'Anthophyta'). All animals which have a backbone are members of the phyla 'Vertebrate' (i.e. Vertebrates). Getting to know these major groups of plants and animals is the first step in learning the characteristics of, and learning to identify living things. You should try to gain an understanding of the order of the phyla - from the simplest to the most complex - in both the animal and plant kingdoms. Gaining this type of perspective will provide you with a framework which you can slot plants or animals into when trying to identify them in nature. Understanding the phyla is only the first step, however. Phyla are further divided into groups called 'classes'. Classes are divided and divided again and so on. -
Platyhelminthes, Nemertea, and "Aschelminthes" - A
BIOLOGICAL SCIENCE FUNDAMENTALS AND SYSTEMATICS – Vol. III - Platyhelminthes, Nemertea, and "Aschelminthes" - A. Schmidt-Rhaesa PLATYHELMINTHES, NEMERTEA, AND “ASCHELMINTHES” A. Schmidt-Rhaesa University of Bielefeld, Germany Keywords: Platyhelminthes, Nemertea, Gnathifera, Gnathostomulida, Micrognathozoa, Rotifera, Acanthocephala, Cycliophora, Nemathelminthes, Gastrotricha, Nematoda, Nematomorpha, Priapulida, Kinorhyncha, Loricifera Contents 1. Introduction 2. General Morphology 3. Platyhelminthes, the Flatworms 4. Nemertea (Nemertini), the Ribbon Worms 5. “Aschelminthes” 5.1. Gnathifera 5.1.1. Gnathostomulida 5.1.2. Micrognathozoa (Limnognathia maerski) 5.1.3. Rotifera 5.1.4. Acanthocephala 5.1.5. Cycliophora (Symbion pandora) 5.2. Nemathelminthes 5.2.1. Gastrotricha 5.2.2. Nematoda, the Roundworms 5.2.3. Nematomorpha, the Horsehair Worms 5.2.4. Priapulida 5.2.5. Kinorhyncha 5.2.6. Loricifera Acknowledgements Glossary Bibliography Biographical Sketch Summary UNESCO – EOLSS This chapter provides information on several basal bilaterian groups: flatworms, nemerteans, Gnathifera,SAMPLE and Nemathelminthes. CHAPTERS These include species-rich taxa such as Nematoda and Platyhelminthes, and as taxa with few or even only one species, such as Micrognathozoa (Limnognathia maerski) and Cycliophora (Symbion pandora). All Acanthocephala and subgroups of Platyhelminthes and Nematoda, are parasites that often exhibit complex life cycles. Most of the taxa described are marine, but some have also invaded freshwater or the terrestrial environment. “Aschelminthes” are not a natural group, instead, two taxa have been recognized that were earlier summarized under this name. Gnathifera include taxa with a conspicuous jaw apparatus such as Gnathostomulida, Micrognathozoa, and Rotifera. Although they do not possess a jaw apparatus, Acanthocephala also belong to Gnathifera due to their epidermal structure. ©Encyclopedia of Life Support Systems (EOLSS) BIOLOGICAL SCIENCE FUNDAMENTALS AND SYSTEMATICS – Vol. -
Systematics , Zoogeography , Andecologyofthepriapu
SYSTEMATICS, ZOOGEOGRAPHY, AND ECOLOGY OF THE PRIAPULIDA by J. VAN DER LAND (Rijksmuseum van Natuurlijke Historie, Leiden) With 89 text-figures and five plates CONTENTS Ι Introduction 4 1.1 Plan 4 1.2 Material and methods 5 1.3 Acknowledgements 6 2 Systematics 8 2.1 Historical introduction 8 2.2 Phylum Priapulida 9 2.2.1 Diagnosis 10 2.2.2 Classification 10 2.2.3 Definition of terms 12 2.2.4 Basic adaptive features 13 2.2.5 General features 13 2.2.6 Systematic notes 2 5 2.3 Key to the taxa 20 2.4 Survey of the taxa 29 Priapulidae 2 9 Priapulopsis 30 Priapulus 51 Acanthopriapulus 60 Halicryptus 02 Tubiluchidae 7° Tubiluchus 73 3 Zoogeography and ecology 84 3.1 Distribution 84 3.1.1 Faunistics 90 3.1.2 Expeditions 93 3.2 Ecology 96 3.2.1 Substratum 96 3.2.2 Depth 97 3.2.3 Temperature 97 3.24 Salinity 98 3.2.5 Oxygen 98 3.2.6 Food 99 3.2.7 Predators 100 3.2.8 Communities 102 3.3 Theoretical zoogeography 102 3.3.1 Bipolarity 102 3.3.2 Relict distribution 103 3.3.3 Concluding remarks 104 References 105 4 ZOOLOGISCHE VERHANDELINGEN 112 (1970) 1 INTRODUCTION The phylum Priapulida is only a very small group of marine worms but, since these animals apparently represent the last remnants of a once un- doubtedly much more important animal type, they are certainly of great scientific interest. Therefore, it is to be regretted that a comprehensive review of our present knowledge of the group does not exist, which does not only cause the faulty way in which the Priapulida are treated usually in textbooks and works on phylogeny, but also hampers further studies. -
Number of Living Species in Australia and the World
Numbers of Living Species in Australia and the World 2nd edition Arthur D. Chapman Australian Biodiversity Information Services australia’s nature Toowoomba, Australia there is more still to be discovered… Report for the Australian Biological Resources Study Canberra, Australia September 2009 CONTENTS Foreword 1 Insecta (insects) 23 Plants 43 Viruses 59 Arachnida Magnoliophyta (flowering plants) 43 Protoctista (mainly Introduction 2 (spiders, scorpions, etc) 26 Gymnosperms (Coniferophyta, Protozoa—others included Executive Summary 6 Pycnogonida (sea spiders) 28 Cycadophyta, Gnetophyta under fungi, algae, Myriapoda and Ginkgophyta) 45 Chromista, etc) 60 Detailed discussion by Group 12 (millipedes, centipedes) 29 Ferns and Allies 46 Chordates 13 Acknowledgements 63 Crustacea (crabs, lobsters, etc) 31 Bryophyta Mammalia (mammals) 13 Onychophora (velvet worms) 32 (mosses, liverworts, hornworts) 47 References 66 Aves (birds) 14 Hexapoda (proturans, springtails) 33 Plant Algae (including green Reptilia (reptiles) 15 Mollusca (molluscs, shellfish) 34 algae, red algae, glaucophytes) 49 Amphibia (frogs, etc) 16 Annelida (segmented worms) 35 Fungi 51 Pisces (fishes including Nematoda Fungi (excluding taxa Chondrichthyes and (nematodes, roundworms) 36 treated under Chromista Osteichthyes) 17 and Protoctista) 51 Acanthocephala Agnatha (hagfish, (thorny-headed worms) 37 Lichen-forming fungi 53 lampreys, slime eels) 18 Platyhelminthes (flat worms) 38 Others 54 Cephalochordata (lancelets) 19 Cnidaria (jellyfish, Prokaryota (Bacteria Tunicata or Urochordata sea anenomes, corals) 39 [Monera] of previous report) 54 (sea squirts, doliolids, salps) 20 Porifera (sponges) 40 Cyanophyta (Cyanobacteria) 55 Invertebrates 21 Other Invertebrates 41 Chromista (including some Hemichordata (hemichordates) 21 species previously included Echinodermata (starfish, under either algae or fungi) 56 sea cucumbers, etc) 22 FOREWORD In Australia and around the world, biodiversity is under huge Harnessing core science and knowledge bases, like and growing pressure. -
Multi-Gene Analyses of the Phylogenetic Relationships Among the Mollusca, Annelida, and Arthropoda Donald J
Zoological Studies 47(3): 338-351 (2008) Multi-Gene Analyses of the Phylogenetic Relationships among the Mollusca, Annelida, and Arthropoda Donald J. Colgan1,*, Patricia A. Hutchings2, and Emma Beacham1 1Evolutionary Biology Unit, The Australian Museum, 6 College St. Sydney, NSW 2010, Australia 2Marine Invertebrates, The Australian Museum, 6 College St., Sydney, NSW 2010, Australia (Accepted October 29, 2007) Donald J. Colgan, Patricia A. Hutchings, and Emma Beacham (2008) Multi-gene analyses of the phylogenetic relationships among the Mollusca, Annelida, and Arthropoda. Zoological Studies 47(3): 338-351. The current understanding of metazoan relationships is largely based on analyses of 18S ribosomal RNA ('18S rRNA'). In this paper, DNA sequence data from 2 segments of 28S rRNA, cytochrome c oxidase subunit I, histone H3, and U2 small nuclear (sn)RNA were compiled and used to test phylogenetic relationships among the Mollusca, Annelida, and Arthropoda. The 18S rRNA data were included in the compilations for comparison. The analyses were especially directed at testing the implication of the Eutrochozoan hypothesis that the Annelida and Mollusca are more closely related than are the Annelida and Arthropoda and at determining whether, in contrast to analyses using only 18S rRNA, the addition of data from other genes would reveal these phyla to be monophyletic. New data and available sequences were compiled for up to 49 molluscs, 33 annelids, 22 arthropods, and 27 taxa from 15 other metazoan phyla. The Porifera, Ctenophora, and Cnidaria were used as the outgroup. The Annelida, Mollusca, Entoprocta, Phoronida, Nemertea, Brachiopoda, and Sipuncula (i.e., all studied Lophotrochozoa except for the Bryozoa) formed a monophyletic clade with maximum likelihood bootstrap support of 81% and a Bayesian posterior probability of 0.66 when all data were analyzed. -
Platyhelminthes Rhabdocoela
Molecular Phylogenetics and Evolution 120 (2018) 259–273 Contents lists available at ScienceDirect Molecular Phylogenetics and Evolution journal homepage: www.elsevier.com/locate/ympev Species diversity in the marine microturbellarian Astrotorhynchus bifidus T sensu lato (Platyhelminthes: Rhabdocoela) from the Northeast Pacific Ocean ⁎ Niels W.L. Van Steenkiste , Elizabeth R. Herbert, Brian S. Leander Beaty Biodiversity Research Centre, Department of Zoology, University of British Columbia, 3529-6270 University Blvd, Vancouver, BC V6T 1Z4, Canada ARTICLE INFO ABSTRACT Keywords: Increasing evidence suggests that many widespread species of meiofauna are in fact regional complexes of Flatworms (pseudo-)cryptic species. This knowledge has challenged the ‘Everything is Everywhere’ hypothesis and also Meiofauna partly explains the meiofauna paradox of widespread nominal species with limited dispersal abilities. Here, we Species delimitation investigated species diversity within the marine microturbellarian Astrotorhynchus bifidus sensu lato in the turbellaria Northeast Pacific Ocean. We used a multiple-evidence approach combining multi-gene (18S, 28S, COI) phylo- Pseudo-cryptic species genetic analyses, several single-gene and multi-gene species delimitation methods, haplotype networks and COI conventional taxonomy to designate Primary Species Hypotheses (PSHs). This included the development of rhabdocoel-specific COI barcode primers, which also have the potential to aid in species identification and delimitation in other rhabdocoels. Secondary Species Hypotheses (SSHs) corresponding to morphospecies and pseudo-cryptic species were then proposed based on the minimum consensus of different PSHs. Our results showed that (a) there are at least five species in the A. bifidus complex in the Northeast Pacific Ocean, four of which can be diagnosed based on stylet morphology, (b) the A. -
Fricke Washington 0250E 14267.Pdf (3.107Mb)
Benefits of seed dispersal for plant populations and species diversity Evan Fricke A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2015 Reading Committee: Joshua Tewksbury Janneke Hille Ris Lambers Jeffrey Riffell Program Authorized to Offer Degree: Department of Biology 1 ©Copyright 2015 Evan Fricke 2 University of Washington Abstract Benefits of seed dispersal for plant populations and species diversity Evan Fricke Chair of the Supervisory Committee: Joshua Tewksbury Department of Biology Seed dispersal influences plant diversity and distribution, and animals are the major vector of dispersal in the world’s most biodiverse ecosystems. Defaunation occurring at the global scale threatens a pervasive disruption of seed dispersal mutualisms. Understanding the scope of this problem and developing predictions for the impact of seed disperser loss on plant diversity requires knowledge of the ways in which dispersers benefit their plant mutualists and how the loss of these benefits influence plant population dynamics. The first chapter explores novel benefits of seed dispersal in a wild chili from Bolivia caused by the reduction of antagonistic species interactions via gut-passage by avian frugivores. The second chapter measures how movement away from parent plants influences species interactions for three tree species in the Mariana Islands, assessing the source of distance-dependent mortality. The third chapter quantifies demographic impacts of density-dependent mortality in the forest at Barro Colorado Island, Panamá. The last chapter uses network concepts and information of the benefits of mutualisms to improve coextinction predictions within plant-animal mutualistic networks. 3 Table of Contents Chapter 1: When condition trumps location: seed consumption by fruit-eating birds removes pathogens and predator attractants ……………………………………………. -
Disentangling an Entangled Bank: Using Network Theory to Understand Interactions in Plant Communities
Disentangling an entangled bank: using network theory to understand interactions in plant communities Photo by Ray Blick Ray A.J. Blick Thesis submitted for the degree of Doctor of Philosophy Evolution and Ecology Research Centre School of Biological, Earth and Environmental Sciences University of New South Wales July 2012 PLEASE TYPE THE UNIVERSITY OF NEW SOUTH WALES Thesis/Dissertation Sheet Surname or Family name: Blick First name: Raymond Other name/s: Arthur John Abbreviation for degree as given in the University calendar: School: School of Biological, Earth and Environmental Sciences Evolution and Ecology Research Centre Faculty: Science Title: Disentangling an entangled bank: using network theory to understand interactions in plant communities Abstract 350 words maximum: (PLEASE TYPE) Network analysis can map interactions between entities to reveal complex associations between objects, people or even financial decisions. Recently network theory has been applied to ecological networks, including interactions between plants that live in the canopy of other trees (e.g. mistletoes or vines). In this thesis, I explore plant-plant interactions in greater detail and I test for the first time, a predictive approach that maps unique biological traits across species interactions. In chapter two I used a novel predictive approach to investigate the topology of a mistletoe-host network and evaluate leaf trait similari ties between Lauranthaceaous mistletoes and host trees. Results showed support for negative co-occurrence patterns, web specialisation and strong links between species pairs. However, the deterministic model showed that the observed network topology could not predict network interactions when they were considered to be unique associations in the community. -
Dear Author, Here Are the Proofs of Your Article. • You Can Submit Your
Dear Author, Here are the proofs of your article. • You can submit your corrections online, via e-mail or by fax. • For online submission please insert your corrections in the online correction form. Always indicate the line number to which the correction refers. • You can also insert your corrections in the proof PDF and email the annotated PDF. • For fax submission, please ensure that your corrections are clearly legible. Use a fine black pen and write the correction in the margin, not too close to the edge of the page. • Remember to note the journal title, article number, and your name when sending your response via e-mail or fax. • Check the metadata sheet to make sure that the header information, especially author names and the corresponding affiliations are correctly shown. • Check the questions that may have arisen during copy editing and insert your answers/ corrections. • Check that the text is complete and that all figures, tables and their legends are included. Also check the accuracy of special characters, equations, and electronic supplementary material if applicable. If necessary refer to the Edited manuscript. • The publication of inaccurate data such as dosages and units can have serious consequences. Please take particular care that all such details are correct. • Please do not make changes that involve only matters of style. We have generally introduced forms that follow the journal’s style. Substantial changes in content, e.g., new results, corrected values, title and authorship are not allowed without the approval of the responsible editor. In such a case, please contact the Editorial Office and return his/her consent together with the proof. -
Free-Living Benthic Marine Invertebrates in Chile
FREE-LIVING BENTHIC MARINE INVERTEBRATES INRevista CHILE Chilena de Historia Natural51 81: 51-67, 2008 Free-living benthic marine invertebrates in Chile Invertebrados bentónicos marinos de vida libre en Chile MATTHEW R. LEE1, JUAN CARLOS CASTILLA1*, MIRIAM FERNÁNDEZ1, MARCELA CLARKE2, CATHERINE GONZÁLEZ1, CONSUELO HERMOSILLA1,3, LUIS PRADO1, NICOLAS ROZBACZYLO1 & CLAUDIO VALDOVINOS4 1 Center for Advanced Studies in Ecology and Biodiversity (FONDAP) and Estación Costera de Investigaciones Marinas, Departamento de Ecología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile 2 Facultad de Recursos del Mar, Universidad de Antofagasta, Antofagasta, Chile 3 Instituto de Investigaciones Marinas, CSIC, Vigo, España 4 Center of Environmental Sciences EULA-Chile, University of Concepcion, Concepción, Chile; Patagonian Ecosystems Research Center (CIEP), Coyhaique, Chile; *e-mail for correspondence: [email protected] ABSTRACT A comprehensive literature review was conducted to determine the species richness of all the possible taxa of free-living benthic marine invertebrates in Chile. In addition, the extent of endemism to the Pacific Islands and deep-sea, the number of non-indigenous species, and the contribution that the Chilean benthic marine invertebrate fauna makes to the world benthic marine invertebrate fauna was examined. A total of 4,553 species were found. The most speciose taxa were the Crustacea, Mollusca and Polychaeta. Species richness data was not available for a number of taxa, despite evidence that these taxa are present in the Chilean benthos. The Chilean marine invertebrate benthic fauna constitutes 2.47 % of the world marine invertebrate benthic fauna. There are 599 species endemic to the Pacific Islands and 205 in the deep-sea. -
R E S E a R C H / M a N a G E M E N T Aquatic and Terrestrial Flatworm (Platyhelminthes, Turbellaria) and Ribbon Worm (Nemertea)
RESEARCH/MANAGEMENT FINDINGSFINDINGS “Put a piece of raw meat into a small stream or spring and after a few hours you may find it covered with hundreds of black worms... When not attracted into the open by food, they live inconspicuously under stones and on vegetation.” – BUCHSBAUM, et al. 1987 Aquatic and Terrestrial Flatworm (Platyhelminthes, Turbellaria) and Ribbon Worm (Nemertea) Records from Wisconsin Dreux J. Watermolen D WATERMOLEN Bureau of Integrated Science Services INTRODUCTION The phylum Platyhelminthes encompasses three distinct Nemerteans resemble turbellarians and possess many groups of flatworms: the entirely parasitic tapeworms flatworm features1. About 900 (mostly marine) species (Cestoidea) and flukes (Trematoda) and the free-living and comprise this phylum, which is represented in North commensal turbellarians (Turbellaria). Aquatic turbellari- American freshwaters by three species of benthic, preda- ans occur commonly in freshwater habitats, often in tory worms measuring 10-40 mm in length (Kolasa 2001). exceedingly large numbers and rather high densities. Their These ribbon worms occur in both lakes and streams. ecology and systematics, however, have been less studied Although flatworms show up commonly in invertebrate than those of many other common aquatic invertebrates samples, few biologists have studied the Wisconsin fauna. (Kolasa 2001). Terrestrial turbellarians inhabit soil and Published records for turbellarians and ribbon worms in leaf litter and can be found resting under stones, logs, and the state remain limited, with most being recorded under refuse. Like their freshwater relatives, terrestrial species generic rubric such as “flatworms,” “planarians,” or “other suffer from a lack of scientific attention. worms.” Surprisingly few Wisconsin specimens can be Most texts divide turbellarians into microturbellarians found in museum collections and a specialist has yet to (those generally < 1 mm in length) and macroturbellari- examine those that are available. -
Reconciling Biodiversity Indicators to Guide Understanding and Action Samantha L.L
LETTER Reconciling Biodiversity Indicators to Guide Understanding and Action Samantha L.L. Hill1,2,∗, Mike Harfoot1,∗, Andy Purvis2, Drew W. Purves3, Ben Collen4, Tim Newbold1,4, Neil D. Burgess1,5, & Georgina M. Mace4 1 United Nations Environment Programme World Conservation Monitoring Centre, 219 Huntingdon Road, Cambridge, CB2 0DL, UK 2 Department of Life Sciences, The Natural History Museum, Cromwell Road, London, SW7 5BD, UK 3 Microsoft Research, Cambridge, CB1 2FB, UK 4 Centre for Biodiversity & Environment Research (CBER), Department of Genetics, Evolution and Environment, University College London, Gower Street, London, WC1E 6BT, UK 5 Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, DK-2100, Copenhagen E, Denmark Keywords Abstract Global biodiversity indicators; biodiversity metrics; biodiversity trends; Madingley model; Many metrics can be used to capture trends in biodiversity and, in turn, these PREDICTS model; Aichi targets. metrics inform biodiversity indicators. Sampling biases, genuine differences be- tween metrics, or both, can often cause indicators to appear to be in conflict. Correspondence This lack of congruence confuses policy makers and the general public, hin- Georgina M. Mace, Centre for Biodiversity & dering effective responses to the biodiversity crisis. We show how different Environment Research (CBER), Department of and seemingly inconsistent metrics of biodiversity can, in fact, emerge from Genetics, Evolution and Environment, University College London, Gower Street, London WC1E the same scenario of biodiversity change. We develop a simple, evidence-based 6BT, UK. narrative of biodiversity change and implement it in a simulation model. The Tel: +44 (0)20 3108 7692. model demonstrates how, for example, species richness can remain stable in E-mail: [email protected] a given landscape, whereas other measures (e.g.