Pcr-Based Dgge Identification of Bacteria and Yeasts
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OVERVIEW of FOOD FRAUD in the FISHERIES SECTOR Cover Photo: Mussel Farm in the Philippines
FIAM/C1165 (En) FAO Fisheries and Aquaculture Circular ISSN 2070-6065 OVERVIEW OF FOOD FRAUD IN THE FISHERIES SECTOR Cover photo: Mussel farm in the Philippines. © FAO/A. Reilly. FAO Fisheries and Aquaculture Circular No. 1165 FIAM/C1165 (En) OVERVIEW OF FOOD FRAUD IN THE FISHERIES SECTOR Alan Reilly Consultant Fisheries and Aquaculture Policy and Resources Division Food and Agriculture Organization FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS Rome, 2018 The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO in preference to others of a similar nature that are not mentioned. The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO. ISBN 978-92-5-130402-0 © FAO, 2018 FAO encourages the use, reproduction and dissemination of material in this information product. Except where otherwise indicated, material may be copied, downloaded and printed for private study, research and teaching purposes, or for use in non-commercial products or services, provided that appropriate acknowledgement of FAO as the source and copyright holder is given and that FAO’s endorsement of users’ views, products or services is not implied in any way. -
Carcinus Maenas in South Africa: Status, Impacts and Management
Carcinus maenas in South Africa: status, impacts and management Clova Airth Mabin Dissertation presented for the degree of Doctor of Philosophy (Zoology) Department of Botany and Zoology Stellenbosch University Supervisor: Dr Tammy Robinson-Smythe Co-supervisors: Prof John Wilson Prof Jaco Le Roux March 2018 Stellenbosch University https://scholar.sun.ac.za Declaration By submitting this dissertation electronically, I declare that the entirety of the work contained therein is my own, original work, that I am the sole author thereof (save to the extent explicitly otherwise stated), that reproduction and publication thereof by Stellenbosch University will not infringe any third-party rights and that I have not previously in its entirety or in part submitted it for obtaining any qualification. I would like to declare that Dr Henning Winker at the Department of Agriculture, Forestry and Fisheries developed the code for the Bayesian depletion model used in Chapter 3. This allowed me to use the data collected during management of Carcinus to estimate the population’s response to the intervention. Throughout the thesis, the term Carcinus is used when referring to South African populations of crabs from this genus. This is a result of the detection of hybrids between C. maenas and C. aestuarii in Chapter 5, and the recognition that the results obtained in this thesis can thus not be ascribed to a particular Carcinus species. During the management programme, I played the role of lead scientist, co-ordinating the research and contributing to decisions regarding the management plan. During the course of my doctoral studies, I also completed the field work for and published the following paper: Mabin CA, Wilson JR, Robinson TB (2015) The Chilean black urchin, Tetrapygus niger (Molina, 1782) in South Africa: gone but not forgotten. -
TNP SOK 2011 Internet
GARDEN ROUTE NATIONAL PARK : THE TSITSIKAMMA SANP ARKS SECTION STATE OF KNOWLEDGE Contributors: N. Hanekom 1, R.M. Randall 1, D. Bower, A. Riley 2 and N. Kruger 1 1 SANParks Scientific Services, Garden Route (Rondevlei Office), PO Box 176, Sedgefield, 6573 2 Knysna National Lakes Area, P.O. Box 314, Knysna, 6570 Most recent update: 10 May 2012 Disclaimer This report has been produced by SANParks to summarise information available on a specific conservation area. Production of the report, in either hard copy or electronic format, does not signify that: the referenced information necessarily reflect the views and policies of SANParks; the referenced information is either correct or accurate; SANParks retains copies of the referenced documents; SANParks will provide second parties with copies of the referenced documents. This standpoint has the premise that (i) reproduction of copywrited material is illegal, (ii) copying of unpublished reports and data produced by an external scientist without the author’s permission is unethical, and (iii) dissemination of unreviewed data or draft documentation is potentially misleading and hence illogical. This report should be cited as: Hanekom N., Randall R.M., Bower, D., Riley, A. & Kruger, N. 2012. Garden Route National Park: The Tsitsikamma Section – State of Knowledge. South African National Parks. TABLE OF CONTENTS 1. INTRODUCTION ...............................................................................................................2 2. ACCOUNT OF AREA........................................................................................................2 -
Fasanbi SHOWCASE
Threatened Species Monitoring PROGRAMME Threatened Species in South Africa: A review of the South African National Biodiversity Institutes’ Threatened Species Programme: 2004–2009 Acronyms ADU – Animal Demography Unit ARC – Agricultural Research Council BASH – Big Atlassing Summer Holiday BIRP – Birds in Reserves Project BMP – Biodiversity Management Plan BMP-S – Biodiversity Management Plans for Species CFR – Cape Floristic Region CITES – Convention on International Trade in Endangered Species CoCT – City of Cape Town CREW – Custodians of Rare and Endangered Wildflowers CWAC – Co-ordinated Waterbird Counts DEA – Department of Environmental Affairs DeJaVU – December January Atlassing Vacation Unlimited EIA – Environmental Impact Assessment EMI – Environmental Management Inspector GBIF – Global Biodiversity Information Facility GIS – Geographic Information Systems IAIA – International Association for Impact Assessment IAIAsa – International Association for Impact Assessment South Africa IUCN – International Union for Conservation of Nature LAMP – Long Autumn Migration Project LepSoc – Lepidopterists’ Society of Africa MCM – Marine and Coastal Management MOA – memorandum of agreement MOU – memorandum of understanding NBI – National Botanical Institute NEMA – National Environmental Management Act NEMBA – National Environmental Management Biodiversity Act NGO – non-governmental organization NORAD – Norwegian Agency for Development Co–operation QDGS – quarter-degree grid square SABAP – Southern African Bird Atlas Project SABCA – Southern African -
The IUCN Red List of Threatened Speciestm
Species 2014 Annual ReportSpecies the Species of 2014 Survival Commission and the Global Species Programme Species ISSUE 56 2014 Annual Report of the Species Survival Commission and the Global Species Programme • 2014 Spotlight on High-level Interventions IUCN SSC • IUCN Red List at 50 • Specialist Group Reports Ethiopian Wolf (Canis simensis), Endangered. © Martin Harvey Muhammad Yazid Muhammad © Amazing Species: Bleeding Toad The Bleeding Toad, Leptophryne cruentata, is listed as Critically Endangered on The IUCN Red List of Threatened SpeciesTM. It is endemic to West Java, Indonesia, specifically around Mount Gede, Mount Pangaro and south of Sukabumi. The Bleeding Toad’s scientific name, cruentata, is from the Latin word meaning “bleeding” because of the frog’s overall reddish-purple appearance and blood-red and yellow marbling on its back. Geographical range The population declined drastically after the eruption of Mount Galunggung in 1987. It is Knowledge believed that other declining factors may be habitat alteration, loss, and fragmentation. Experts Although the lethal chytrid fungus, responsible for devastating declines (and possible Get Involved extinctions) in amphibian populations globally, has not been recorded in this area, the sudden decline in a creekside population is reminiscent of declines in similar amphibian species due to the presence of this pathogen. Only one individual Bleeding Toad was sighted from 1990 to 2003. Part of the range of Bleeding Toad is located in Gunung Gede Pangrango National Park. Future conservation actions should include population surveys and possible captive breeding plans. The production of the IUCN Red List of Threatened Species™ is made possible through the IUCN Red List Partnership. -
Fish in Disguise: Seafood Fraud in Korea
Fish in disguise: Seafood fraud in Korea A briefing by the Environmental Justice Foundation 1 Executive summary Between January and December 2018, the Environmental Justice Foundation (EJF) used DNA testing to determine levels of seafood fraud in the Republic of Korea. The results showed that over a third of samples tested were mislabelled. This mislabelling defrauds consumers, risks public health, harms the marine environment and can be associated with serious human rights abuses across the world. These findings demonstrate the urgent need for greater transparency and traceability in Korean seafood, including imported products. Key findings: • Over a third of seafood samples (34.8%, 105 of 302 samples) genetically analysed were mislabelled. • Samples labelled Fleshy Prawn, Fenneropenaeus chinensis (100%), Japanese Eel, Anguilla japonica (67.7%), Mottled Skate, Raja pulchra (53.3%) and Common Octopus, Octopus vulgaris (52.9%) had the highest rates of mislabelling. • Not a single sample labelled Fleshly Prawn was the correct species. • Mislabelling was higher in restaurants, fish markets and online than in general markets or superstores. • By processed types, sushi (53.9%), fresh fish (38.9%) and sashimi (33.6%) were the most likely to be mislabelled. • The seafood fraud identified by this research has direct negative impacts for consumers. It is clear that for some species sampled consumers were likely to be paying more than they should. For example, more than half of the eel and skate samples that were labelled domestic were actually found to be imported, which can cost only half of the price of domestic products. Swordfish mislabelled as Bluefin Tuna can be sold for four to five times as much. -
Queen Mackerel
FACT SHEET Queen mackerel Scomberomorus plurilineatus Family: Scombridae Other common names: Natal snoek, Kanadi kingfish, Serra, Gespikkelde katonkel An elongate, streamlined fish with a large, deeply forked tail. They are silver in colour with a metallic green sheen above and white Description below. A series of dark grey horizontal, broken lines and spots pattern the flanks. The front part of the first dorsal fin is black. Western Indian Ocean, Kenya to South Africa, also west coast of Madagascar, Comoros and Seychelles. In southern Africa common in Distribution Mozambique and KwaZulu-Natal waters, rarely extending into the Eastern Cape, but has been recorded as far south as Tsitsikamma. Near the surface, primarily confined to the inshore zone, often just behind back-line but seldom enters the active surf-zone. Shows a Habitat strong preference for areas close to river-mouths, rip currents off sandy beaches, shallow rocky and coral reefs. Feeds mainly on small fish such as anchovies and sardines but also Feeding takes squid, mantis shrimps, mysids and swimming prawns. Adults migrate into KwaZulu-Natal waters during early summer (October-November) and return to Mozambican waters during Movement winter (May-September). This is likely to be a feeding migration as very few reproductively active fish have been observed in KwaZulu- Natal waters. www.saambr.org.za They reach maturity at 72-78 cm fork length at an age of 2 years. Reproduction Spawning occurs mainly from late winter to early summer (August- November) and is thought to occur along the Mozambique coast. They can reach a maximum size of 117 cm fork length and a weight Age and growth of 12.5 kg. -
Index of Scientific and Vernacular Names 325
Index of Scientific and Vernacular Names 325 INDEX OF SCIENTIFIC AND VERNACULAR NAMES Explanation of the System Italics: Valid scientific names (genera and species). ROMAN: Family names. ROMAN: Names of groups, classes, orders, suborders, and subfamilies. Roman: FAO and vernacular names. 326A Field IdentificationAlbula vulpes Guide.................. to the Living Marine Resources of Kenya121 ALBULIDAE ................ 82, 121 Abalistes stellaris ................. 307 ALBULIFORMES ................ 82 Ablennes hians .................. 144 Alectis ciliaris .................. 186 Acanthocybium solandri .............. 293 Alectis indica .................. 187 Acanthocybium sp. ................ 116 Alectis sp. .................... 102 Acanthopagrus berda ............... 225 Alepes djedaba .................. 187 Acanthopagrus bifasciatus ............. 225 ALEPOCEPHALIDAE ............. 86 ACANTHURIDAE ............. 114, 280 Alfonsinos§ ................. 94, 151 ACANTHUROIDEI .............. 113 Aloha prawn § .................. 13 Acanthurus blochii ................ 280 Alopias pelagicus ................. 57 Acanthurus dussumieri .............. 280 Alopias superciliosus ............... 57 Acanthurus leucosternon ............. 280 Alopias vulpinus ................. 57 Acanthurus lineatus ................ 281 ALOPIIDAE ................. 53, 57 Acanthurus mata ................. 281 Alose-écaille indienne § .............. 136 Acanthurus nigricauda .............. 281 Alose palli § ................... 131 Acanthurus nigrofuscus .............. 282 Aluterus -
Intrinsic Vulnerability in the Global Fish Catch
The following appendix accompanies the article Intrinsic vulnerability in the global fish catch William W. L. Cheung1,*, Reg Watson1, Telmo Morato1,2, Tony J. Pitcher1, Daniel Pauly1 1Fisheries Centre, The University of British Columbia, Aquatic Ecosystems Research Laboratory (AERL), 2202 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada 2Departamento de Oceanografia e Pescas, Universidade dos Açores, 9901-862 Horta, Portugal *Email: [email protected] Marine Ecology Progress Series 333:1–12 (2007) Appendix 1. Intrinsic vulnerability index of fish taxa represented in the global catch, based on the Sea Around Us database (www.seaaroundus.org) Taxonomic Intrinsic level Taxon Common name vulnerability Family Pristidae Sawfishes 88 Squatinidae Angel sharks 80 Anarhichadidae Wolffishes 78 Carcharhinidae Requiem sharks 77 Sphyrnidae Hammerhead, bonnethead, scoophead shark 77 Macrouridae Grenadiers or rattails 75 Rajidae Skates 72 Alepocephalidae Slickheads 71 Lophiidae Goosefishes 70 Torpedinidae Electric rays 68 Belonidae Needlefishes 67 Emmelichthyidae Rovers 66 Nototheniidae Cod icefishes 65 Ophidiidae Cusk-eels 65 Trachichthyidae Slimeheads 64 Channichthyidae Crocodile icefishes 63 Myliobatidae Eagle and manta rays 63 Squalidae Dogfish sharks 62 Congridae Conger and garden eels 60 Serranidae Sea basses: groupers and fairy basslets 60 Exocoetidae Flyingfishes 59 Malacanthidae Tilefishes 58 Scorpaenidae Scorpionfishes or rockfishes 58 Polynemidae Threadfins 56 Triakidae Houndsharks 56 Istiophoridae Billfishes 55 Petromyzontidae -
SPR) Assessment for Tuna and Tuna Like Species: Some Results from Application of Mobile Phone -Catch Assessment Survey, Kenya
IOTC-2019-WPDCS15-23 Species composition, abundance and preliminary spawning potential Ratio (SPR) assessment for tuna and tuna like species: Some results from application of mobile phone -Catch Assessment Survey, Kenya E Mueni1*, S Ndegwa2, C Magak1, J Omukoto3, G Okemwa3, R Imam1, K Wachira1, L Mwasi4, L Kapombe5, S Bandari 6 and E Kimakwa4 15th Working Party on Data Collection and Statistics Karachi Pakistan 1Kenya Fisheries Service, Mombasa, 2Kenya Fisheries Service, Nairobi, 3Kenya Marine and Fisheries Research Institute, 4 World Wide Fund for Nature, 5 County Government of Kilifi, 6 County Government of Kwale Abstract This papers looks at data catch assessment survey data collected from the period June 2018-May 2019 with aim to strengthen the monitoring plans for tuna species and improve artisanal tuna data collection. A one- year electronic data collection using a mobile application was piloted at eleven (11) sites with landing sites as the primary sampling unit (PSU) and vessel gear combination as secondary sampling unit (SSU). A total of Composition of tuna and tuna tuna-like species in the sampled catches of sampled biomass of the pooled data indicate tuna species accounted for 38% out of which 5.6% were not identified to species level and 62 % were tuna like species out of which 4.5% were unidentified. The most common species of tuna and tuna like species were yellowfin tuna (Thunnus albacares); Kanadi kingfish (Scomberomorus plurilineatus); Kawakawa (Euthynnus affinis); Bullet tuna (Auxis rochei) and Frigate tuna (Auxis thazard). Thunnus albacares was the most abundant, contributing 29% of the total landings of the sampled catch. -
A Molecular Phylogeny of the Sparidae (Perciformes: Percoidei)
W&M ScholarWorks Dissertations, Theses, and Masters Projects Theses, Dissertations, & Master Projects 2000 A molecular phylogeny of the Sparidae (Perciformes: Percoidei) Thomas M. Orrell College of William and Mary - Virginia Institute of Marine Science Follow this and additional works at: https://scholarworks.wm.edu/etd Part of the Genetics Commons, and the Zoology Commons Recommended Citation Orrell, Thomas M., "A molecular phylogeny of the Sparidae (Perciformes: Percoidei)" (2000). Dissertations, Theses, and Masters Projects. Paper 1539616799. https://dx.doi.org/doi:10.25773/v5-x8gj-1114 This Dissertation is brought to you for free and open access by the Theses, Dissertations, & Master Projects at W&M ScholarWorks. It has been accepted for inclusion in Dissertations, Theses, and Masters Projects by an authorized administrator of W&M ScholarWorks. For more information, please contact [email protected]. INFORMATION TO USERS This manuscript has been reproduced from the microfilm master. UMI films the text directly from (he original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bieedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps. -
Commercial Fish ELISA Kits Have a Limited Capacity to Detect Different Fish Species and Their Products
Ruethers Thimo (Orcid ID: 0000-0002-0856-3452) Koeberl Martina (Orcid ID: 0000-0002-1790-743X) Commercial fish ELISA kits have a limited capacity to detect different fish species and their products Short title: Limited capacity of detecting fish utilizing ELISA technology Authorship: Thimo Ruethersa,b,c,d, Aya C. Takia,b,c,d, Jasmit Khangurhae, James Robertse, Saman Buddhadasae, Dean Clarkee, Claire E. Hedgese, Dianne E. Campbellb,f,g, Sandip D. Kamatha,b,c,d, Andreas L. Lopataa,b,c,d, Martina Koeberle† Authors’ Affiliation aMolecular Allergy Research Laboratory, College of Public Health, Medical and Veterinary Sciences, James Cook University, 1 James Cook Dr, Douglas, Queensland 4814, Australia; bCentre for Food and Allergy Research, Murdoch Children’s Research Institute, Flemington Rd, Parkville, Victoria 3052, Australia; cAustralian Institute of Tropical Health and Medicine, James Cook University, 1 James Cook Dr, Douglas, Queensland 4814, Australia; dCentre for Sustainable Tropical Fisheries and Aquaculture, Faculty of Science and Engineering, James Cook University, 1 James Cook Dr, Douglas, Queensland 4814, Australia; eNational Measurement Institute, 1/153 Bertie Street, Port Melbourne, Victoria 3207, Australia fChildren’s Hospital at Westmead, Allergy and Immunology, Locked Bag, Westmead, New South Wales 2145, Australia; This is the author manuscript accepted for publication and has undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences