| Literature DB >> 26379469 |
Angela C Telfer1, Monica R Young1, Jenna Quinn2, Kate Perez1, Crystal N Sobel1, Jayme E Sones1, Valerie Levesque-Beaudin1, Rachael Derbyshire1, Jose Fernandez-Triana3, Rodolphe Rougerie4, Abinah Thevanayagam1, Adrian Boskovic1, Alex V Borisenko1, Alex Cadel5, Allison Brown1, Anais Pages6, Anibal H Castillo1, Annegret Nicolai7, Barb Mockford Glenn Mockford8, Belén Bukowski9, Bill Wilson8, Brock Trojahn2, Carole Ann Lacroix10, Chris Brimblecombe11, Christoper Hay12, Christmas Ho1, Claudia Steinke1, Connor P Warne1, Cristina Garrido Cortes13, Daniel Engelking1, Danielle Wright1, Dario A Lijtmaer9, David Gascoigne8, David Hernandez Martich14, Derek Morningstar15, Dirk Neumann16, Dirk Steinke1, Donna DeBruin Marco DeBruin8, Dylan Dobias13, Elizabeth Sears1, Ellen Richard13, Emily Damstra8, Evgeny V Zakharov1, Frederic Laberge13, Gemma E Collins11, Gergin A Blagoev1, Gerrie Grainge8, Graham Ansell1, Greg Meredith17, Ian Hogg11, Jaclyn McKeown1, Janet Topan1, Jason Bracey8, Jerry Guenther8, Jesse Sills-Gilligan1, Joseph Addesi1, Joshua Persi1, Kara K S Layton18, Kareina D'Souza1, Kencho Dorji19, Kevin Grundy8, Kirsti Nghidinwa20, Kylee Ronnenberg1, Kyung Min Lee21, Linxi Xie22, Liuqiong Lu1, Lyubomir Penev23, Mailyn Gonzalez24, Margaret E Rosati25, Mari Kekkonen1, Maria Kuzmina1, Marianne Iskandar1, Marko Mutanen21, Maryam Fatahi1, Mikko Pentinsaari21, Miriam Bauman8, Nadya Nikolova1, Natalia V Ivanova1, Nathaniel Jones1, Nimalka Weerasuriya22, Norman Monkhouse1, Pablo D Lavinia9, Paul Jannetta1, Priscila E Hanisch9, R Troy McMullin10, Rafael Ojeda Flores26, Raphaëlle Mouttet27, Reid Vender1, Renee N Labbee1, Robert Forsyth28, Rob Lauder29, Ross Dickson8, Ruth Kroft8, Scott E Miller25, Shannon MacDonald1, Sishir Panthi30, Stephanie Pedersen1, Stephanie Sobek-Swant2, Suresh Naik1, Tatsiana Lipinskaya31, Thanushi Eagalle1, Thibaud Decaëns32, Thibault Kosuth6, Thomas Braukmann1, Tom Woodcock2, Tomas Roslin33, Tony Zammit34, Victoria Campbell1, Vlad Dinca1, Vlada Peneva35, Paul D N Hebert1, Jeremy R deWaard1.
Abstract
BACKGROUND: Comprehensive biotic surveys, or 'all taxon biodiversity inventories' (ATBI), have traditionally been limited in scale or scope due to the complications surrounding specimen sorting and species identification. To circumvent these issues, several ATBI projects have successfully integrated DNA barcoding into their identification procedures and witnessed acceleration in their surveys and subsequent increase in project scope and scale. The Biodiversity Institute of Ontario partnered with the rare Charitable Research Reserve and delegates of the 6th International Barcode of Life Conference to complete its own rapid, barcode-assisted ATBI of an established land trust in Cambridge, Ontario, Canada. NEW INFORMATION: The existing species inventory for the rare Charitable Research Reserve was rapidly expanded by integrating a DNA barcoding workflow with two surveying strategies - a comprehensive sampling scheme over four months, followed by a one-day bioblitz involving international taxonomic experts. The two surveys resulted in 25,287 and 3,502 specimens barcoded, respectively, as well as 127 human observations. This barcoded material, all vouchered at the Biodiversity Institute of Ontario collection, covers 14 phyla, 29 classes, 117 orders, and 531 families of animals, plants, fungi, and lichens. Overall, the ATBI documented 1,102 new species records for the nature reserve, expanding the existing long-term inventory by 49%. In addition, 2,793 distinct Barcode Index Numbers (BINs) were assigned to genus or higher level taxonomy, and represent additional species that will be added once their taxonomy is resolved. For the 3,502 specimens, the collection, sequence analysis, taxonomic assignment, data release and manuscript submission by 100+ co-authors all occurred in less than one week. This demonstrates the speed at which barcode-assisted inventories can be completed and the utility that barcoding provides in minimizing and guiding valuable taxonomic specialist time. The final product is more than a comprehensive biotic inventory - it is also a rich dataset of fine-scale occurrence and sequence data, all archived and cross-linked in the major biodiversity data repositories. This model of rapid generation and dissemination of essential biodiversity data could be followed to conduct regional assessments of biodiversity status and change, and potentially be employed for evaluating progress towards the Aichi Targets of the Strategic Plan for Biodiversity 2011-2020.Entities:
Keywords: Barcode Index Numbers; DNA barcoding; Operational Taxonomic Units; biodiversity assessment; biotic inventory; rare Charitable Research Reserve; species identification
Year: 2015 PMID: 26379469 PMCID: PMC4568406 DOI: 10.3897/BDJ.3.e6313
Source DB: PubMed Journal: Biodivers Data J ISSN: 1314-2828
Figure 1.Map indicating habitat types and sampling sites for the 2015 biotic survey conducted at in Cambridge, Ontario, Canada.
Summary of species inventory for in Cambridge, Ontario, Canada, following the present study.
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| Earthworms | 0 | 2 | 2 | 2 |
| Spiders and others | 0 | 198 | 198 | 198 | |
| Crustaceans | 0 | 7 | 7 | 7 | |
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| 0 | 9 | 9 | 9 | |
| Insects | 832 | 895 | 778 | 1,610 | |
| Millipedes, Centipedes | 0 | 6 | 6 | 6 | |
| Fishes | 28 | 14 | 3 | 31 | |
| Amphibians | 13 | 2 | 0 | 13 | |
| Birds | 231 | 87 | 0 | 231 | |
| Mammals | 37 | 6 | 1 | 38 | |
| Reptiles | 10 | 0 | 0 | 10 | |
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| Fungus, Lichens | 191 | 84 | 60 | 251 |
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| Snails, Clams | 0 | 18 | 18 | 18 |
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| Plants, Mosses, Liverworts | 901 | 103 | 20 | 921 |
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| Protozoans | 3 | 3 | 0 | 3 |
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| 2,246 | 1,433 | 1,102 | 3,348 |
Figure 2.Accumulation curves for singleton and total observed BINs for the 2015 survey of .