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Maschmeyer T, Russell DJ, Napolitano JG, Hein JE. Reaction monitoring via benchtop nuclear magnetic resonance spectroscopy: A practical comparison of on-line stopped-flow and continuous-flow sampling methods. Magn Reson Chem 2024; 62:310-322. [PMID: 37737536 DOI: 10.1002/mrc.5395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 08/28/2023] [Accepted: 08/30/2023] [Indexed: 09/23/2023]
Abstract
The ability for nuclear magnetic resonance (NMR) spectroscopy to provide quantitative, structurally rich information makes this spectroscopic technique an attractive reaction monitoring tool. The practicality of NMR for this type of analysis has only increased in the recent years with the influx of commercially available benchtop NMR instruments and compatible flow systems. In this study, we aim to compare 19F NMR reaction profiles acquired under both on-line continuous-flow and stopped-flow sampling methods, with modern benchtop NMR instrumentation, and two reaction systems: a homogeneous imination reaction and a biphasic activation of a carboxylic acid to acyl fluoride. Reaction trends with higher data density can be acquired with on-line continuous-flow analyses, and this work highlights that representative reaction trends can be acquired without any correction when monitoring resonances with a shorter spin-lattice relaxation time (T1), and with the used flow conditions. On-line stopped-flow analyses resulted in representative reaction trends in all cases, including the monitoring of resonances with a long T1, without the need of any correction factors. The benefit of easier data analysis, however, comes with the cost of time, as the fresh reaction solution must be flowed into the NMR system, halted, and time must be provided for spins to become polarized in the instrument's external magnetic field prior to spectral measurement. Results for one of the reactions were additionally compared with the use of a high-field NMR.
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Affiliation(s)
- Tristan Maschmeyer
- Department of Chemistry, The University of British Columbia, Vancouver, Canada
- Small Molecule Pharmaceutical Sciences, Genentech Inc., South San Francisco, California, USA
| | - David J Russell
- Small Molecule Pharmaceutical Sciences, Genentech Inc., South San Francisco, California, USA
| | - José G Napolitano
- Small Molecule Pharmaceutical Sciences, Genentech Inc., South San Francisco, California, USA
| | - Jason E Hein
- Department of Chemistry, The University of British Columbia, Vancouver, Canada
- Acceleration Consortium, University of Toronto, Toronto, Canada
- Department of Chemistry, University of Bergen, Bergen, Norway
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Maschmeyer T, Conklin B, Malig TC, Russell DJ, Kurita KL, Hein JE, Napolitano JG. A reliable external calibration method for reaction monitoring with benchtop NMR. Magn Reson Chem 2024; 62:169-178. [PMID: 38116902 DOI: 10.1002/mrc.5421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/29/2023] [Accepted: 12/01/2023] [Indexed: 12/21/2023]
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical technique with the ability to acquire both quantitative and structurally insightful data for multiple components in a test sample. This makes NMR spectroscopy a desirable tool to understand, monitor, and optimize chemical transformations. While quantitative NMR (qNMR) approaches relying on internal standards are well-established, using an absolute external calibration scheme is beneficial for reaction monitoring as resonance overlap complications from an added reference material to the sample can be avoided. Particularly, this type of qNMR technique is of interest with benchtop NMR spectrometers as the likelihood of resonance overlap is only enhanced with the lower magnetic field strengths of the used permanent magnets. The included study describes a simple yet robust methodology to determine concentration conversion factors for NMR systems using single- and multi-analyte linear regression models. This approach is leveraged to investigate a pharmaceutically relevant amide coupling batch reaction. An on-line stopped-flow (i.e., interrupted-flow or paused-flow) benchtop NMR system was used to monitor both the 1,1'-carbonyldiimidazole (CDI) promoted acid activation and the amide coupling. The results highlight how quantitative measurements in benchtop NMR systems can provide valuable information and enable analysts to make decisions in real time.
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Affiliation(s)
- Tristan Maschmeyer
- Synthetic Molecule Pharmaceutical Sciences, Genentech Inc., South San Francisco, California, USA
- Department of Chemistry, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Breanna Conklin
- Synthetic Molecule Pharmaceutical Sciences, Genentech Inc., South San Francisco, California, USA
| | - Thomas C Malig
- Synthetic Molecule Pharmaceutical Sciences, Genentech Inc., South San Francisco, California, USA
| | - David J Russell
- Synthetic Molecule Pharmaceutical Sciences, Genentech Inc., South San Francisco, California, USA
| | - Kenji L Kurita
- Synthetic Molecule Pharmaceutical Sciences, Genentech Inc., South San Francisco, California, USA
| | - Jason E Hein
- Department of Chemistry, The University of British Columbia, Vancouver, British Columbia, Canada
- Acceleration Consortium, University of Toronto, Toronto, Ontario, Canada
- Department of Chemistry, University of Bergen, Bergen, Norway
| | - José G Napolitano
- Synthetic Molecule Pharmaceutical Sciences, Genentech Inc., South San Francisco, California, USA
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Potapov AM, Chen TW, Striuchkova AV, Alatalo JM, Alexandre D, Arbea J, Ashton T, Ashwood F, Babenko AB, Bandyopadhyaya I, Baretta CRDM, Baretta D, Barnes AD, Bellini BC, Bendjaballah M, Berg MP, Bernava V, Bokhorst S, Bokova AI, Bolger T, Bouchard M, Brito RA, Buchori D, Castaño-Meneses G, Chauvat M, Chomel M, Chow Y, Chown SL, Classen AT, Cortet J, Čuchta P, de la Pedrosa AM, De Lima ECA, Deharveng LE, Doblas Miranda E, Drescher J, Eisenhauer N, Ellers J, Ferlian O, Ferreira SSD, Ferreira AS, Fiera C, Filser J, Franken O, Fujii S, Koudji EG, Gao M, Gendreau-Berthiaume B, Gers C, Greve M, Hamra-Kroua S, Handa IT, Hasegawa M, Heiniger C, Hishi T, Holmstrup M, Homet P, Høye TT, Ivask M, Jacques B, Janion-Scheepers C, Jochum M, Joimel S, Jorge BCS, Juceviča E, Kapinga EM, Kováč Ľ, Krab EJ, Krogh PH, Kuu A, Kuznetsova N, Lam WN, Lin D, Lindo Z, Liu AWP, Lu JZ, Luciáñez MJ, Marx MT, Mawan A, McCary MA, Minor MA, Mitchell GI, Moreno D, Nakamori T, Negri I, Nielsen UN, Ochoa-Hueso R, Oliveira Filho LCI, Palacios-Vargas JG, Pollierer MM, Ponge JF, Potapov MB, Querner P, Rai B, Raschmanová N, Rashid MI, Raymond-Léonard LJ, Reis AS, Ross GM, Rousseau L, Russell DJ, Saifutdinov RA, Salmon S, Santonja M, Saraeva AK, Sayer EJ, Scheunemann N, Scholz C, Seeber J, Shaw P, Shveenkova YB, Slade EM, Stebaeva S, Sterzynska M, Sun X, Susanti WI, Taskaeva AA, Tay LS, Thakur MP, Treasure AM, Tsiafouli M, Twala MN, Uvarov AV, Venier LA, Widenfalk LA, Widyastuti R, Winck B, Winkler D, Wu D, Xie Z, Yin R, Zampaulo RA, Zeppelini D, Zhang B, Zoughailech A, Ashford O, Klauberg-Filho O, Scheu S. Global fine-resolution data on springtail abundance and community structure. Sci Data 2024; 11:22. [PMID: 38172139 PMCID: PMC10764875 DOI: 10.1038/s41597-023-02784-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 11/23/2023] [Indexed: 01/05/2024] Open
Abstract
Springtails (Collembola) inhabit soils from the Arctic to the Antarctic and comprise an estimated ~32% of all terrestrial arthropods on Earth. Here, we present a global, spatially-explicit database on springtail communities that includes 249,912 occurrences from 44,999 samples and 2,990 sites. These data are mainly raw sample-level records at the species level collected predominantly from private archives of the authors that were quality-controlled and taxonomically-standardised. Despite covering all continents, most of the sample-level data come from the European continent (82.5% of all samples) and represent four habitats: woodlands (57.4%), grasslands (14.0%), agrosystems (13.7%) and scrublands (9.0%). We included sampling by soil layers, and across seasons and years, representing temporal and spatial within-site variation in springtail communities. We also provided data use and sharing guidelines and R code to facilitate the use of the database by other researchers. This data paper describes a static version of the database at the publication date, but the database will be further expanded to include underrepresented regions and linked with trait data.
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Affiliation(s)
- Anton M Potapov
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.
- Institute of Biology, Leipzig University, Puschstrasse 4, 04103, Leipzig, Germany.
- Department of Animal Ecology, Johann Friedrich Blumenbach Institute of Zoology and Anthropology, University of Göttingen, Göttingen, 37073, Germany.
| | - Ting-Wen Chen
- Department of Animal Ecology, Johann Friedrich Blumenbach Institute of Zoology and Anthropology, University of Göttingen, Göttingen, 37073, Germany
| | - Anastasia V Striuchkova
- Department of zoology and ecology, Institute of Biology and Chemistry, Moscow Pedagogical State University, Kibalchicha 6 B.3, Moscow, 129164, Russia
| | - Juha M Alatalo
- Environmental Science Center, Qatar University, Doha, Qatar
| | - Douglas Alexandre
- Department of Soil Science, Centre for Agriculture and Veterinary Science, Santa Catarina State University (UDESC-Lages), Lages, SC, Brazil
| | - Javier Arbea
- CEPA Camargo, c/ Ria de Solia 3, ch. 39, 39610, Astillero, Spain
| | - Thomas Ashton
- Forest Research, Northern Research Station, Roslin, Midlothian, Scotland, EH25 9SY, United Kingdom
| | - Frank Ashwood
- Forest Research, Northern Research Station, Roslin, Midlothian, Scotland, EH25 9SY, United Kingdom
| | - Anatoly B Babenko
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Leninskij prospekt 33, 119071, Moscow, Russia
| | | | | | - Dilmar Baretta
- Department Animal Science, University of Santa Catarina (UDESC), Chapeco, SC, 89815-000, Brazil
| | - Andrew D Barnes
- Te Aka Mātuatua - School of Science, University of Waikato, Private Bag 3105, Hamilton, 3204, New Zealand
| | - Bruno C Bellini
- Department of Botany and Zoology, Federal University of Rio Grande do Norte, Natal, 59078-970, Brazil
| | - Mohamed Bendjaballah
- Laboratoire de Biosystématique et Ecologie des Arthropodes, Faculté des Sciences de la Nature et de la Vie, Université Frères Mentouri Constantine 1, 25000, Constantine, Algeria
| | - Matty P Berg
- Section Ecology and Evolution, A-LIFE, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
- Community and Conservation Ecology group, GELIFES, University of Groningen, PO Box 72, 9700 AB, Groningen, The Netherlands
| | - Verónica Bernava
- Administración de Parques Nacionales, Calle Gral. San Martín y Padre Torrez (N3366), San Antonio, Misiones, Argentina
| | - Stef Bokhorst
- Systems Ecology, A-LIFE, Faculty of Science, Vrije Universiteit, 1081 HV, Amsterdam, The Netherlands
| | - Anna I Bokova
- Department of zoology and ecology, Institute of Biology and Chemistry, Moscow Pedagogical State University, Kibalchicha 6 B.3, Moscow, 129164, Russia
| | - Thomas Bolger
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin, 4, Republic of Ireland
- Earth Institute, University College Dublin, Belfield, Dublin, 4, Ireland
| | - Mathieu Bouchard
- Department of wood and forest sciences, Université Laval, Québec, Qc, G1V 0A6, Canada
| | - Roniere A Brito
- Instituto de Biologia de Solo, Universidade Estadual da Paraíba, Rua Horácio Trajano de Oliveira, 666, João Pessoa/PB, 58071-160, Brazil
| | - Damayanti Buchori
- Department of Plant Protection, Bogor Agricultural University, Jalan Kamper, Kampus IPB Darmaga, 16680, Bogor, Indonesia
| | - Gabriela Castaño-Meneses
- Unidad Multidisciplinaria de Docencia e Investigación-Juriquilla, Facultad de Ciencias, Universidad Nacional Autónoma de México, Boulevard Juriquilla 3001, Juriquilla, Querétaro, 76230, México
| | - Matthieu Chauvat
- Univ Rouen Normandie, INRAE, ECODIV USC 1499, F-76000, Rouen, France
| | - Mathilde Chomel
- FiBL France, Research Institute of Organic Agriculture, pole bio - ecosite du val de Drome, 26400, Eurre, France
| | - Yasuko Chow
- Asian School of the Environment, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore
| | - Steven L Chown
- Securing Antarctica's Environmental Future, School of Biological Sciences, Monash University, Melbourne, Victoria, 3800, Australia
| | - Aimee T Classen
- Ecology and Evolutionary Biology Department, University of Michigan, Ann Arbor, Michigan, USA
- University of Michigan Biological Station, Pellston, Michigan, USA
| | - Jérôme Cortet
- CEFE, Université Paul-Valéry Montpellier 3, Université de Montpellier, CNRS, EPHE, IRD, route de Mende, 34000, Montpellier, France
| | - Peter Čuchta
- Institute of Soil Biology and Biogeochemistry, Biology Centre CAS, České Budějovice, Czech Republic
| | | | - Estevam C A De Lima
- Laboratório de Sistemática de Collembola e Conservação, Coleção de Referência de Fauna de Solo, Instituto de Biologia de Solo, Universidade Estadual da Paraíba, Campus V, Rua Horácio Trajano, 666, João Pessoa, Brazil
| | - Louis E Deharveng
- UMR7205, Museum national d'Histoire naturelle, 45 rue Buffon, 75005, Paris, France
| | - Enrique Doblas Miranda
- CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
- Universitat Autònoma de Barcelona, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
| | - Jochen Drescher
- Department of Animal Ecology, Johann Friedrich Blumenbach Institute of Zoology and Anthropology, University of Göttingen, Göttingen, 37073, Germany
| | - Nico Eisenhauer
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany
- Institute of Biology, Leipzig University, Puschstrasse 4, 04103, Leipzig, Germany
| | - Jacintha Ellers
- Department of Ecological Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Olga Ferlian
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany
- Institute of Biology, Leipzig University, Puschstrasse 4, 04103, Leipzig, Germany
| | - Susana S D Ferreira
- Department of Ecological Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Aila S Ferreira
- Laboratório de Sistemática de Collembola e Conservação, Coleção de Referência de Fauna de Solo, Instituto de Biologia de Solo, Universidade Estadual da Paraíba, Campus V, Rua Horácio Trajano, 666, João Pessoa, Brazil
| | - Cristina Fiera
- Institute of Biology Bucharest, Romanian Academy, Bucharest, Romania
| | - Juliane Filser
- University of Bremen, FB 02, UFT, General and Theoretical Ecology, Leobener Str. 6, D-28359, Bremen, Germany
| | - Oscar Franken
- Section Ecology and Evolution, A-LIFE, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
- Community and Conservation Ecology group, GELIFES, University of Groningen, PO Box 72, 9700 AB, Groningen, The Netherlands
- Department of Coastal Systems, Royal Netherlands Institute for Sea Research, 't Horntje, the Netherlands
| | - Saori Fujii
- Insect Ecology Laboratory, Department of Forest Entomology, Forestry and Forest Products Research Institute, 1 Matsunosato, Tsukuba, Ibaraki, 305-8687, Japan
| | - Essivi Gagnon Koudji
- Département des sciences biologiques, Université du Québec à Montréal, C.P. 8888 succ. Centre-ville, Montréal, Québec, H3C 3P8, Canada
- Centre d'étude de la forêt -141, Avenue du Président-Kennedy, Montréal, Québec, H2X 1Y4, Canada
| | - Meixiang Gao
- Department of Geography and Spatial Information Techniques, Ningbo University, 315211, Ningbo, China
- Zhejiang Collaborative Innovation Center & Ningbo Universities Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research, Ningbo University, 315211, Ningbo, China
| | - Benoit Gendreau-Berthiaume
- Département des sciences biologiques, Université du Québec à Montréal, C.P. 8888 succ. Centre-ville, Montréal, Québec, H3C 3P8, Canada
- Centre d'étude de la forêt -141, Avenue du Président-Kennedy, Montréal, Québec, H2X 1Y4, Canada
- Université du Québec en Outaouais, 58, rue Principale, Ripon, Qc, J0V 1V0, Canada
| | - Charles Gers
- Laboratoire écologie fonctionnelle et environnement, Université de Toulouse, CNRS, Toulouse, 6, France
| | - Michelle Greve
- Department of Plant and Soil Sciences, University of Pretoria, Private Bag X20, Hatfield, 0028, South Africa
| | - Salah Hamra-Kroua
- Laboratoire de Biosystématique et Ecologie des Arthropodes, Faculté des Sciences de la Nature et de la Vie, Université Frères Mentouri Constantine 1, 25000, Constantine, Algeria
| | - I Tanya Handa
- Département des sciences biologiques, Université du Québec à Montréal, C.P. 8888 succ. Centre-ville, Montréal, Québec, H3C 3P8, Canada
- Centre d'étude de la forêt -141, Avenue du Président-Kennedy, Montréal, Québec, H2X 1Y4, Canada
| | - Motohiro Hasegawa
- Department of Environmental System Science, Faculty of Science and Engineering, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto, 610-0394, Japan
| | - Charlène Heiniger
- University of Applied Sciences and Arts of Western Switzerland, Geneva, 150 route de Presinge, 1254, Jussy, Switzerland
| | - Takuo Hishi
- Kyushu University Forest, Kyushu University, 394 Tsubakuro, Sasaguri, Fukuoka, 811-2415, Japan
| | - Martin Holmstrup
- Department of Ecoscience, Aarhus University, C.F. Møllers Allé 4, 8000, Aarhus C, Denmark
| | - Pablo Homet
- Departmento de Biogeoquímica, Ecología Vegetal y Microbiana/ Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), Consejo Superior de Investigaciones Científicas(CSIC), Avenida Reina Mercedes 10, 41012, Sevilla, Spain
| | - Toke T Høye
- Department of Ecoscience, Aarhus University, C.F. Møllers Allé 4, 8000, Aarhus C, Denmark
| | - Mari Ivask
- Tartu College, Tallinn University of Technology, Puiestee 78, 51008, Tartu, Estonia
- Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi Str. 5, Tartu, 51006, Estonia
| | - Bob Jacques
- Department of Life Sciences, Aberystwyth University, Cledwyn Building, Penglais Campus, Aberystwyth, SY23 3DD, Wales, UK
| | - Charlene Janion-Scheepers
- Department of Biological Sciences, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
- Research and Exhibitions Department, Iziko Museums of South Africa, 25 Queen Victoria Road, Cape Town, 8001, South Africa
| | - Malte Jochum
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany
- Institute of Biology, Leipzig University, Puschstrasse 4, 04103, Leipzig, Germany
- Department of Global Change Ecology, Biocenter, University of Würzburg, John-Skilton-Strasse 4a, 97074, Würzburg, Germany
| | - Sophie Joimel
- Université Paris-Saclay, INRAE, AgroParisTech, UMR EcoSys, 91120, Palaiseau, France
| | - Bruna Claudia S Jorge
- Quantitative Ecology Lab, Department of Ecology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91540-000, Brazil
| | - Edite Juceviča
- Institute of Biology, University of Latvia, O.Vācieša Street 4, Riga, LV-1004, Latvia
| | - Esther M Kapinga
- Agricultural University of Iceland, Hvanneyri, 311, Borgarbyggð, Iceland
| | - Ľubomír Kováč
- Department of Zoology, Institute of Biology and Ecology, Faculty of Science, Pavol Jozef Šafárik University, Košice, Slovakia
| | - Eveline J Krab
- Department of Soil and Environment, Swedish University or Agricultural Sciences, 750 07, Uppsala, Sweden
- Climate Impacts Research Centre, Umeå University, Abisko Scientitific Research Station, 98107, Abisko, Sweden
| | - Paul Henning Krogh
- Department of Ecoscience, Aarhus University, C.F. Møllers Allé 4, 8000, Aarhus C, Denmark
| | - Annely Kuu
- Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi Str. 5, Tartu, 51006, Estonia
| | - Natalya Kuznetsova
- Department of zoology and ecology, Institute of Biology and Chemistry, Moscow Pedagogical State University, Kibalchicha 6 B.3, Moscow, 129164, Russia
| | - Weng Ngai Lam
- Asian School of the Environment, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore
| | - Dunmei Lin
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China
| | - Zoë Lindo
- Department of Biology, University of Western Ontario, 1151 Richmond Street, London, Ontario, N6A 3K7, Canada
| | - Amy W P Liu
- Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland, 7602, South Africa
| | - Jing-Zhong Lu
- Department of Animal Ecology, Johann Friedrich Blumenbach Institute of Zoology and Anthropology, University of Göttingen, Göttingen, 37073, Germany
| | - María José Luciáñez
- Biología, Facultad de Ciencias, Universidad Autónoma de Madrid, Darwin 2. Cantoblanco, 28049, Madrid, España
| | - Michael T Marx
- Institute of Zoology, Johannes Gutenberg University Mainz, 55128, Mainz, Germany
| | - Amanda Mawan
- Department of Animal Ecology, Johann Friedrich Blumenbach Institute of Zoology and Anthropology, University of Göttingen, Göttingen, 37073, Germany
| | - Matthew A McCary
- Department of BioSciences, Rice University, Houston, TX, 77005, USA
| | - Maria A Minor
- Ecology & Zoology Group, School of Natural Sciences, Massey University, P.B, 11222, Palmerston North, New Zealand
| | - Grace I Mitchell
- Te Aka Mātuatua - School of Science, University of Waikato, Private Bag 3105, Hamilton, 3204, New Zealand
| | - David Moreno
- Department of Landscape Architecture, Gund Hall, 48 Quincy Street, Suite 312, Cambridge, MA, 02138, USA
- Basque Centre for Climate Change - BC3, B/Sarriena s/n, 48940, Leioa, Spain
| | - Taizo Nakamori
- Graduate School of Environment and Information Sciences, Yokohama National University, 79-7 Tokiwadai, Hodogaya, Yokohama, 240-8501, Japan
| | - Ilaria Negri
- Department of Sustainable Crop Production (DI.PRO.VE.S.), Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122, Piacenza, Italy
| | - Uffe N Nielsen
- Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Sydney, NSW, 2751, Australia
| | - Raúl Ochoa-Hueso
- Department of Biology, IVAGRO, University of Cádiz, Campus de Excelencia Internacional Agroalimentario (CeiA3), Campus del Rio San Pedro, 11510 Puerto Real, Cádiz, Spain
| | - Luís Carlos I Oliveira Filho
- Department of Soil Science, Centre for Agriculture and Veterinary Science, Santa Catarina State University (UDESC-Lages), Lages, SC, Brazil
| | - José G Palacios-Vargas
- Laboratorio de Ecología, Dept. Ecología y Recursos Naturales, Facultad de Cienicas, UNAM, Ave. Universidad 3000, Copilco, Coyoacán, 04510 CDMX, Mexico
| | - Melanie M Pollierer
- Department of Animal Ecology, Johann Friedrich Blumenbach Institute of Zoology and Anthropology, University of Göttingen, Göttingen, 37073, Germany
| | - Jean-François Ponge
- Muséum National d'Histoire Naturelle, Department Adaptations du Vivant, UMR MECADEV, 4 avenue du Petit-Château, 91800, Brunoy, France
| | - Mikhail B Potapov
- Department of zoology and ecology, Institute of Biology and Chemistry, Moscow Pedagogical State University, Kibalchicha 6 B.3, Moscow, 129164, Russia
| | - Pascal Querner
- Natural History Museum Vienna, 1. Zoology, Burgring 7, 1010, Vienna, Austria
- University of Natural Resources and Life Sciences, Department of Integrative Biology and Biodiversity Research, Institute of Zoology, Gregor-Mendel-Straße 33, 1180, Vienna, Austria
| | - Bibishan Rai
- Te Aka Mātuatua - School of Science, University of Waikato, Private Bag 3105, Hamilton, 3204, New Zealand
| | - Natália Raschmanová
- Department of Zoology, Institute of Biology and Ecology, Faculty of Science, Pavol Jozef Šafárik University, Košice, Slovakia
| | - Muhammad Imtiaz Rashid
- Center of Excellence in Environmental Studies, King Abdulaziz University, P.O. Box 80216, Jeddah, 21589, Saudi Arabia
| | - Laura J Raymond-Léonard
- Département des sciences biologiques, Université du Québec à Montréal, C.P. 8888 succ. Centre-ville, Montréal, Québec, H3C 3P8, Canada
- Centre d'étude de la forêt -141, Avenue du Président-Kennedy, Montréal, Québec, H2X 1Y4, Canada
| | - Aline S Reis
- Observatório Espeleológico, Avenida João Pinheiro, 607, Bairro Boa Viagem, Belo Horizonte, Minas Gerais, CEP: 30.130-185, Brazil
| | - Giles M Ross
- Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Sydney, NSW, 2751, Australia
| | - Laurent Rousseau
- Département des sciences biologiques, Université du Québec à Montréal, C.P. 8888 succ. Centre-ville, Montréal, Québec, H3C 3P8, Canada
- Centre d'étude de la forêt -141, Avenue du Président-Kennedy, Montréal, Québec, H2X 1Y4, Canada
| | - David J Russell
- Department of Soil Zoology, Senckenberg Society for Nature Research, Görlitz, Germany
| | - Ruslan A Saifutdinov
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Leninskij prospekt 33, 119071, Moscow, Russia
| | - Sandrine Salmon
- Muséum National d'Histoire Naturelle, Department Adaptations du Vivant, UMR MECADEV, 4 avenue du Petit-Château, 91800, Brunoy, France
| | - Mathieu Santonja
- Aix Marseille Univ, Avignon Univ, CNRS, IRD, IMBE, Marseille, France
| | - Anna K Saraeva
- Forest Research Institute of the Karelian Research Centre of the Russian Academy of Sciences11 Pushkinskaya St, 185910, Petrozavodsk, Karelia, Russia
| | - Emma J Sayer
- Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
- Smithsonian Tropical Research Institute, Balboa, Ancón, Panama, Panama
| | - Nicole Scheunemann
- Department of Soil Zoology, Senckenberg Society for Nature Research, Görlitz, Germany
| | - Cornelia Scholz
- University of Natural Resources and Life Sciences Vienna, Department of Integrative Biology and Biodiversity Research, Institute of Zoology, Gregor-Mendel-Strasse 33, A-1180, Vienna, Austria
| | - Julia Seeber
- Institute for Alpine Environment, Eurac Research, Drususallee 1, 39100, Bozen, Italy
- Universität Innsbruck, Department of Ecology, Technikerstrasse 25, 6020, Innsbruck, Austria
| | - Peter Shaw
- School of Life and Health Sciences, Whitelands College, Holybourne Avenue, London, SW15 4JD, UK
| | - Yulia B Shveenkova
- Scientific department, State Nature Reserve "Privolzhskaya Lesostep", Okruzhnaya, 12 a, 440031, Penza, Russia
| | - Eleanor M Slade
- Asian School of the Environment, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore
| | - Sophya Stebaeva
- Institute of Systematics and Ecology of Animals of Siberian Branch of Russian Academy of Sciences (ISEA SB RAS), Moscow, Russia
| | - Maria Sterzynska
- Museum and Institute of Zoology Polish Academy of Science, 00-679, Warsaw, Wilcza, 64, Poland
| | - Xin Sun
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo, 315830, China
| | - Winda Ika Susanti
- Department of Animal Ecology, Johann Friedrich Blumenbach Institute of Zoology and Anthropology, University of Göttingen, Göttingen, 37073, Germany
| | - Anastasia A Taskaeva
- Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences, Moscow, Russia
| | - Li Si Tay
- Tropical Ecology & Entomology Lab, Asian School of the Environment, Nanyang Technological University, Singapore. Address: 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Madhav P Thakur
- Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, 3012, Bern, Switzerland
| | - Anne M Treasure
- Data, Products and Society Node, South African Polar Research Infrastructure (SAPRI), 5th Floor, Foretrust Building, Martin Hammerschlag Way, Cape Town, 8000, South Africa
| | - Maria Tsiafouli
- Department of Ecology, School of Biology, Aristotle University of Thessaloniki, Biology Building, University Campus, P.O.119, 54124, Thessaloniki, Greece
| | - Mthokozisi N Twala
- Department of Plant and Soil Sciences, University of Pretoria, Private Bag X20, Hatfield, 0028, South Africa
| | - Alexei V Uvarov
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Leninskij prospekt 33, 119071, Moscow, Russia
| | - Lisa A Venier
- Natural Resources Canada, Canadian Forest Service, 1219 Queen St. E., Sault Ste, Marie, Ontario, P6A 2E5, Canada
| | - Lina A Widenfalk
- Greensway AB, SE75651, Uppsala, Sweden
- Departement of Ecology, Swedish University of Agricultural Sciences, P.O. Box 7044, SE-75007, Uppsala, Sweden
| | - Rahayu Widyastuti
- Department of Soil Science, IPB University, Jln. Meranti Kampus IPB Darmaga, Bogor, 16680, Indonesia
| | - Bruna Winck
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Ecosystème Prairial, 63000, Clermont-Ferrand, France
| | - Daniel Winkler
- Institute of Wildlife Biology and Management, University of Sopron, Bajcsy-Zs. str. 4, H-9400, Sopron, Hungary
| | - Donghui Wu
- Key Laboratory of Wetland Ecology and Environment, Institute of Northeast Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
- Key Laboratory of Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun, 130024, China
- State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, School of Environment, Northeast Normal University, Changchun, 130117, China
| | - Zhijing Xie
- Key Laboratory of Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun, Jilin, 130024, China
| | - Rui Yin
- Community Department, Helmholtz Center for Environmental Research, Halle, Germany
| | - Robson A Zampaulo
- Observatório Espeleológico, Avenida João Pinheiro, 607, Bairro Boa Viagem, Belo Horizonte, Minas Gerais, CEP: 30.130-185, Brazil
| | - Douglas Zeppelini
- Department of Biology, Institute of Soil Biology, Paraiba State University campus V. Av. Horacio Trajano, #666, Cristo Redentor, 58070-450, João Pessoa, PB, Brazil
| | - Bing Zhang
- Key Laboratory for Earth Surface Processes of the Ministry of Education, Institute of Ecology, College of Urban and Environmental Science, Peking University, Beijing, China
| | - Abdelmalek Zoughailech
- Laboratoire de Biosystématique et Ecologie des Arthropodes, Faculté des Sciences de la Nature et de la Vie, Université Frères Mentouri Constantine 1, 25000, Constantine, Algeria
| | | | - Osmar Klauberg-Filho
- Department of Soil Science, Centre for Agriculture and Veterinary Science, Santa Catarina State University (UDESC-Lages), Lages, SC, Brazil
| | - Stefan Scheu
- Department of Animal Ecology, Johann Friedrich Blumenbach Institute of Zoology and Anthropology, University of Göttingen, Göttingen, 37073, Germany
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4
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Ochoa JL, Germann S, Conklin B, Kurita K, Russell DJ, Yang C, Napolitano JG. The effect of tube quality on externally calibrated quantitative nuclear magnetic resonance analysis: How bad can it be? Magn Reson Chem 2024; 62:4-10. [PMID: 37927097 DOI: 10.1002/mrc.5404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 11/07/2023]
Abstract
Externally calibrated quantitative nuclear magnetic resonance (NMR) approaches offer practical means to simultaneously evaluate chemical identity and content without the addition of calibrants to the test sample. Despite continuous advances in external calibration over the last few decades, adoption of these approaches has been slower than expected. Variations in NMR tube geometry are a commonly overlooked factor that can have a substantial effect on externally calibrated quantitation methods. In this report, we investigate the extent to which tube-to-tube volume variability can affect quantitative NMR outcomes. The results highlight the importance of considering tube quality during the development stages of externally calibrated quantitative methods. In addition, we propose a simple, yet effective volume correction strategy using the residual protonated solvent signal that, based on experiments with mixed NMR tubes of varying quality, alleviates the effect of tube-to-tube variability.
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Affiliation(s)
- Jessica L Ochoa
- Synthetic Molecule Pharmaceutical Sciences (SMPS), Genentech Inc., South San Francisco, California, USA
| | - Stephan Germann
- Analytical Research and Development (ARD), AbbVie Inc., North Chicago, Illinois, USA
| | - Breanna Conklin
- Synthetic Molecule Pharmaceutical Sciences (SMPS), Genentech Inc., South San Francisco, California, USA
| | - Kenji Kurita
- Synthetic Molecule Pharmaceutical Sciences (SMPS), Genentech Inc., South San Francisco, California, USA
| | - David J Russell
- Synthetic Molecule Pharmaceutical Sciences (SMPS), Genentech Inc., South San Francisco, California, USA
| | - Cassie Yang
- Analytical Research and Development (ARD), AbbVie Inc., North Chicago, Illinois, USA
| | - José G Napolitano
- Synthetic Molecule Pharmaceutical Sciences (SMPS), Genentech Inc., South San Francisco, California, USA
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5
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Koenig SG, Angelaud R, Crittenden CM, Kurita K, Russell DJ, Marcoux JF, Matt T, Gosselin F. Development of Dual Practical Manufacturing Routes to Cognate Pyrrolobenzodiazepine-Based Linker-Drugs. Org Process Res Dev 2022. [DOI: 10.1021/acs.oprd.2c00129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Stefan G. Koenig
- Department of Small Molecule Process Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Rémy Angelaud
- Department of Small Molecule Process Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Christopher M. Crittenden
- Department of Small Molecule Analytical Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Kenji Kurita
- Department of Small Molecule Analytical Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - David J. Russell
- Department of Small Molecule Analytical Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Jean-Francois Marcoux
- Department of Manufacturing and Science Technology, F. Hoffmann-La Roche Ltd, Viaduktstrasse 31, 4051 Basel, Switzerland
| | - Thomas Matt
- Chemical R&D Department, Cerbios Pharma SA, Via Figino 6, 6917 Barbengo/Lugano, Switzerland
| | - Francis Gosselin
- Department of Small Molecule Process Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States
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6
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Segraves NL, Koenig SG, Stults J, Ma S, DiPasquale AG, Robinson SJ, Russell DJ. Challenges in the structure determination of a dimeric impurity found during development of GDC-0326. J Pharm Biomed Anal 2022; 213:114627. [DOI: 10.1016/j.jpba.2022.114627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 01/24/2022] [Accepted: 01/25/2022] [Indexed: 11/16/2022]
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7
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Gotelli NJ, Booher DB, Urban MC, Ulrich W, Suarez AV, Skelly DK, Russell DJ, Rowe RJ, Rothendler M, Rios N, Rehan SM, Ni G, Moreau CS, Magurran AE, Jones FAM, Graves GR, Fiera C, Burkhardt U, Primack RB. Estimating species relative abundances from museum records. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13705] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
| | - Douglas B. Booher
- Yale Center for Biodiversity and Global Change Yale University New Haven Connecticut USA
- Georgia Museum of Natural History Athens Georgia USA
| | - Mark C. Urban
- Department of Ecology and Evolutionary Biology Center of Biological Risk University of Connecticut Storrs Connecticut USA
| | - Werner Ulrich
- Department of Ecology and Biogeography Faculty of Biological and Veterinary Sciences Nicolaus Copernicus University Torun Poland
| | - Andrew V. Suarez
- Department of Evolution, Ecology and Behavior Department of Entomology University of Illinois Urbana Illinois USA
| | - David K. Skelly
- Yale Peabody Museum of Natural History School of Forestry & Environmental Studies Yale University New Haven Connecticut USA
| | | | - Rebecca J. Rowe
- Department of Natural Resources and the Environment University of New Hampshire Durham New Hampshire USA
| | | | - Nelson Rios
- Yale Peabody Museum of Natural History School of Forestry & Environmental Studies Yale University New Haven Connecticut USA
| | - Sandra M. Rehan
- Department of Biology York University Toronto Ontario Canada
| | - George Ni
- Department of Biology University of Vermont Burlington Vermont USA
| | - Corrie S. Moreau
- Department of Entomology Department of Ecology and Evolutionary Biology Cornell University Ithaca New York USA
| | - Anne E. Magurran
- Centre for Biological Diversity and Scottish Oceans Institute School of Biology University of St Andrews St Andrews UK
| | - Faith A. M. Jones
- Centre for Biological Diversity and Scottish Oceans Institute School of Biology University of St Andrews St Andrews UK
- Department of Forest and Conservation Faculty of Forestry University of British Columbia Vancouver British Columbia Canada
| | - Gary R. Graves
- Department of Vertebrate Zoology National Museum of Natural HistorySmithsonian Institution Washington District of Columbia USA
- Center for Macroecology, Evolution and Climate Globe Institute University of Copenhagen Copenhagen Ø Denmark
| | - Cristina Fiera
- Institute of Biology Bucharest Romanian Academy Bucharest Romania
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8
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Phillips HRP, Bach EM, Bartz MLC, Bennett JM, Beugnon R, Briones MJI, Brown GG, Ferlian O, Gongalsky KB, Guerra CA, König-Ries B, Krebs JJ, Orgiazzi A, Ramirez KS, Russell DJ, Schwarz B, Wall DH, Brose U, Decaëns T, Lavelle P, Loreau M, Mathieu J, Mulder C, van der Putten WH, Rillig MC, Thakur MP, de Vries FT, Wardle DA, Ammer C, Ammer S, Arai M, Ayuke FO, Baker GH, Baretta D, Barkusky D, Beauséjour R, Bedano JC, Birkhofer K, Blanchart E, Blossey B, Bolger T, Bradley RL, Brossard M, Burtis JC, Capowiez Y, Cavagnaro TR, Choi A, Clause J, Cluzeau D, Coors A, Crotty FV, Crumsey JM, Dávalos A, Cosín DJD, Dobson AM, Domínguez A, Duhour AE, van Eekeren N, Emmerling C, Falco LB, Fernández R, Fonte SJ, Fragoso C, Franco ALC, Fusilero A, Geraskina AP, Gholami S, González G, Gundale MJ, López MG, Hackenberger BK, Hackenberger DK, Hernández LM, Hirth JR, Hishi T, Holdsworth AR, Holmstrup M, Hopfensperger KN, Lwanga EH, Huhta V, Hurisso TT, Iannone BV, Iordache M, Irmler U, Ivask M, Jesús JB, Johnson-Maynard JL, Joschko M, Kaneko N, Kanianska R, Keith AM, Kernecker ML, Koné AW, Kooch Y, Kukkonen ST, Lalthanzara H, Lammel DR, Lebedev IM, Le Cadre E, Lincoln NK, López-Hernández D, Loss SR, Marichal R, Matula R, Minamiya Y, Moos JH, Moreno G, Morón-Ríos A, Motohiro H, Muys B, Neirynck J, Norgrove L, Novo M, Nuutinen V, Nuzzo V, Mujeeb Rahman P, Pansu J, Paudel S, Pérès G, Pérez-Camacho L, Ponge JF, Prietzel J, Rapoport IB, Rashid MI, Rebollo S, Rodríguez MÁ, Roth AM, Rousseau GX, Rozen A, Sayad E, van Schaik L, Scharenbroch B, Schirrmann M, Schmidt O, Schröder B, Seeber J, Shashkov MP, Singh J, Smith SM, Steinwandter M, Szlavecz K, Talavera JA, Trigo D, Tsukamoto J, Uribe-López S, de Valença AW, Virto I, Wackett AA, Warren MW, Webster ER, Wehr NH, Whalen JK, Wironen MB, Wolters V, Wu P, Zenkova IV, Zhang W, Cameron EK, Eisenhauer N. Global data on earthworm abundance, biomass, diversity and corresponding environmental properties. Sci Data 2021; 8:136. [PMID: 34021166 PMCID: PMC8140120 DOI: 10.1038/s41597-021-00912-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 04/01/2021] [Indexed: 12/30/2022] Open
Abstract
Earthworms are an important soil taxon as ecosystem engineers, providing a variety of crucial ecosystem functions and services. Little is known about their diversity and distribution at large spatial scales, despite the availability of considerable amounts of local-scale data. Earthworm diversity data, obtained from the primary literature or provided directly by authors, were collated with information on site locations, including coordinates, habitat cover, and soil properties. Datasets were required, at a minimum, to include abundance or biomass of earthworms at a site. Where possible, site-level species lists were included, as well as the abundance and biomass of individual species and ecological groups. This global dataset contains 10,840 sites, with 184 species, from 60 countries and all continents except Antarctica. The data were obtained from 182 published articles, published between 1973 and 2017, and 17 unpublished datasets. Amalgamating data into a single global database will assist researchers in investigating and answering a wide variety of pressing questions, for example, jointly assessing aboveground and belowground biodiversity distributions and drivers of biodiversity change.
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Affiliation(s)
- Helen R P Phillips
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany. .,Institute of Biology, Leipzig University, Puschstrasse 4, 04103, Leipzig, Germany. .,Department of Environmental Science, Saint Mary's University, Halifax, Nova Scotia, Canada.
| | - Elizabeth M Bach
- Global Soil Biodiversity Initiative and School of Global Environmental Sustainability, Colorado State University, Fort Collins, CO, 80523, USA.,Department of Biology, Colorado State University, Fort Collins, CO, 80523, USA
| | - Marie L C Bartz
- Universidade Positivo, Rua Prof. Pedro Viriato Parigot de Souza, 5300, Curitiba, PR, 81280-330, Brazil.,Center of Functional Ecology, Department of Life Sciences, University of Coimbra, Calçada Martins de Freitas, 3000-456, Coimbra, Portugal
| | - Joanne M Bennett
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.,Institute of Biology, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108, Halle (Saale), Germany.,Centre for Applied Water Science, Institute for Applied Ecology, Faculty of Science and Technology, University of Canberra, Canberra, Australia
| | - Rémy Beugnon
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.,Institute of Biology, Leipzig University, Puschstrasse 4, 04103, Leipzig, Germany
| | - Maria J I Briones
- Departamento de Ecología y Biología Animal, Universidad de Vigo, 36310, Vigo, Spain
| | - George G Brown
- Embrapa Forestry, Estrada da Ribeira, km. 111, C.P. 231, Colombo, PR, 83411-000, Brazil
| | - Olga Ferlian
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.,Institute of Biology, Leipzig University, Puschstrasse 4, 04103, Leipzig, Germany
| | - Konstantin B Gongalsky
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Leninsky pr., 33, Moscow, 119071, Russia.,M.V. Lomonosov Moscow State University, Leninskie Gory, 1, Moscow, 119991, Russia
| | - Carlos A Guerra
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.,Institute of Biology, Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108, Halle (Saale), Germany
| | - Birgitta König-Ries
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.,Institute of Computer Science, Friedrich Schiller University Jena, Ernst-Abbe-Platz 2, 07743, Jena, Germany
| | - Julia J Krebs
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.,Institute of Biology, Leipzig University, Puschstrasse 4, 04103, Leipzig, Germany
| | | | - Kelly S Ramirez
- Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), 6700, Wageningen, AB, The Netherlands
| | - David J Russell
- Senckenberg Museum for Natural History Görlitz, Department of Soil Zoology, 02826, Görlitz, Germany
| | - Benjamin Schwarz
- Biometry and Environmental System Analysis, University of Freiburg, Tennenbacher Str. 4, 79106, Freiburg, Germany
| | - Diana H Wall
- Global Soil Biodiversity Initiative and School of Global Environmental Sustainability, Colorado State University, Fort Collins, CO, 80523, USA.,Department of Biology, Colorado State University, Fort Collins, CO, 80523, USA
| | - Ulrich Brose
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.,Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger-Str. 159, 07743, Jena, Germany
| | - Thibaud Decaëns
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France
| | - Patrick Lavelle
- Sorbonne Université, Institut d'Ecologie et des Sciences de l'Environnement, 75005, Paris, France
| | - Michel Loreau
- Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 09200, Moulis, France
| | - Jérôme Mathieu
- Sorbonne Université, Institute of Ecology and Environmental Sciences of Paris (UMR 7618 IEES-Paris, CNRS, INRA, UPMC, IRD, UPEC), 4 place Jussieu, 75000, Paris, France.,INRA, IRD, Institut d'Ecologie et des Sciences de l'Environnement de Paris, F-75005, Paris, France
| | - Christian Mulder
- Department of Biological, Geological and Environmental Sciences, University of Catania, Via Androne 81, 95124, Catania, Italy
| | - Wim H van der Putten
- Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), 6700, Wageningen, AB, The Netherlands.,Laboratory of Nematology, Wageningen University, PO Box 8123, 6700, Wageningen, ES, The Netherlands
| | - Matthias C Rillig
- Institute of Biology, Freie Universität Berlin, 14195, Berlin, Germany
| | - Madhav P Thakur
- Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), 6700, Wageningen, AB, The Netherlands
| | - Franciska T de Vries
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | - David A Wardle
- Asian School of the Environment, Nanyang Technological University, Singapore, 639798, Singapore
| | - Christian Ammer
- Centre of Biodiversity and Sustainable Landuse, University of Göttingen, Büsgenweg 1, Göttingen, Germany.,Silviculture and Forest Ecology of the Temperate Zones, University of Göttingen, Büsgenweg 1, Göttingen, Germany
| | - Sabine Ammer
- Forest Sciences and Forest Ecology, University of Göttingen, Büsgenweg 1, Göttingen, Germany
| | - Miwa Arai
- Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, 3-1-3 Kan-nondai, Tsukuba, Ibaraki, Japan
| | - Fredrick O Ayuke
- Land Resource Management and Agricultural Technology, University of Nairobi, Kapenguria Road, Off Naivasha Road, P.O Box 29053, Nairobi, Kenya.,Rwanda Institute for Conservation Agriculture, KG 541, Kigali, Rwanda
| | - Geoff H Baker
- Health & Biosecurity, CSIRO, PO Box 1700, Canberra, Australia
| | - Dilmar Baretta
- Department of Animal Science, Santa Catarina State University, Chapecó, SC, 89815-630, Brazil
| | - Dietmar Barkusky
- Experimental Infrastructure Platform (EIP), Leibniz Centre for Agricultural Landscape Research, Eberswalder Str. 84, Müncheberg, Germany
| | - Robin Beauséjour
- Départment de biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Jose C Bedano
- Geology Department, FCEFQyN, ICBIA-CONICET (National Scientific and Technical Research Council), National University of Rio Cuarto, Ruta 36 Km, 601, Río Cuarto, Argentina
| | - Klaus Birkhofer
- Department of Ecology, Brandenburg University of Technology, Konrad-Wachsmann-Allee 6, Cottbus, Germany
| | - Eric Blanchart
- Eco&Sols, Univ Montpellier, IRD, INRAE, CIRAD, Institut Agro, Montpellier, France
| | - Bernd Blossey
- Natural Resources, Cornell University, Ithaca, NY, USA
| | - Thomas Bolger
- Earth Institute, University College Dublin, Belfield, Dublin, 4, Ireland.,School of Biology and Environmental Science, University College Dublin, Belfield, Dublin, Ireland
| | - Robert L Bradley
- Départment de biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Michel Brossard
- Eco&Sols, Univ Montpellier, IRD, INRAE, CIRAD, Institut Agro, Montpellier, France
| | - James C Burtis
- Department of Entomology, Cornell University, 3132, Comstock Hall, Ithaca, NY, USA
| | - Yvan Capowiez
- EMMAH, UMR 1114, INRA, Site Agroparc, Avignon, France
| | - Timothy R Cavagnaro
- The School of Agriculture, Food and Wine, The Waite Research Institute, The University of Adelaide, PMB 1, Glen Osmond, Australia
| | - Amy Choi
- Faculty of Forestry, University of Toronto, 33 Willcocks Street, Toronto, Canada
| | - Julia Clause
- Laboratoire Écologie et Biologie des Interactions, équipe EES, UMR CNRS 7267, Université de Poitiers, 5 rue Albert Turpain, Poitiers, France
| | - Daniel Cluzeau
- UMR ECOBIO (Ecosystems, Biodiversity, Evolution) CNRS-Université de Rennes, Station Biologique, 35380, Paimpont, France
| | - Anja Coors
- ECT Oekotoxikologie GmbH, Boettgerstr. 2-14, Floersheim, Germany
| | - Felicity V Crotty
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth Universtiy, Plas Gogerddan, Aberystwyth, SY24 3EE, United Kingdom.,School for Agriculture, Food and the Environment, Royal Agricultural University, Stroud Road, Cirencester, GL7 6JS, United Kingdom
| | - Jasmine M Crumsey
- Odum School of Ecology, University of Georgia, 140 E Green Street, Athens, USA
| | - Andrea Dávalos
- Department of Biological Sciencies, SUNY Cortland, 1215 Bowers Hall, Cortland, USA
| | - Darío J Díaz Cosín
- Biodiversity, Ecology and Evolution, Faculty of Biology, University Complutense of Madrid, José Antonio Novais, 12, Madrid, Spain
| | - Annise M Dobson
- Yale School of the Environment, Yale University, 370 Prospect St, New Haven, CT, USA
| | - Anahí Domínguez
- Geology Department, FCEFQyN, ICBIA-CONICET (National Scientific and Technical Research Council), National University of Rio Cuarto, Ruta 36 Km, 601, Río Cuarto, Argentina
| | - Andrés Esteban Duhour
- Departamento de Ciencias Básicas, Universidad Nacional de Luján, Argentina - INEDES (Universidad Nacional de Luján - CONICET), Luján, Argentina
| | | | - Christoph Emmerling
- Department of Soil Science, University of Trier, Campus II, Behringstraße 21, Trier, Germany
| | - Liliana B Falco
- Departamento de Ciencias Básicas, Instituto de Ecología y Desarrollo Sustentable, Universidad Nacional de Luján, Av. Constitución y Ruta 5, Luján, Argentina
| | - Rosa Fernández
- Animal Biodiversity and Evolution, Institute of Evolutionary Biology, Passeig Marítim de la Barceloneta 37, Barcelona, Spain
| | - Steven J Fonte
- Department of Soil and Crop Sciences, Colorado State University, 1170 Campus Delivery, Fort Collins, CO, USA
| | - Carlos Fragoso
- Biodiversity and Systematic Network, Institute of Ecology A.C., El Haya, Xalapa, Veracruz, 91070, Mexico
| | - André L C Franco
- Department of Biology, Colorado State University, 200 West Lake Street, Fort Collins, CO, USA
| | - Abegail Fusilero
- Department of Biological Sciences and Environmental Studies, University of the Philippines Mindanao, Tugbok District, Davao, Philippines.,Laboratory of Environmental Toxicology and Aquatic Ecology, Environmental Toxicology Unit - GhEnToxLab, Ghent University, Campus Coupure, Coupure Links 653, Ghent, Belgium
| | - Anna P Geraskina
- Center for Forest Ecology and Productivity RAS, Profsoyuznaya st. 84/32 bldg. 14, Moscow, Russia
| | | | - Grizelle González
- United States Department of Agriculture, Forest Service, International Institute of Tropical Forestry, 1201 Ceiba Street, San Juan, Puerto Rico
| | - Michael J Gundale
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgrand 17, 901 83, Umeå, Sweden
| | - Mónica Gutiérrez López
- Biodiversity, Ecology and Evolution, Faculty of Biology, University Complutense of Madrid, José Antonio Novais, 12, Madrid, Spain
| | | | | | - Luis M Hernández
- Agriculture engineering, Agroecology Postgraduate Program, Maranhão State University, Avenida Lourenço Vieira da Silva 1000, São Luis, Brazil
| | - Jeff R Hirth
- Department of Jobs, Precincts and Regions, Agriculture Victoria, Chiltern Valley Road, Rutherglen, Australia
| | - Takuo Hishi
- Faculty of Agriculture, Kyushu University, 394 Tsubakuro, Sasaguri, Fukuoka, 811-2415, Japan
| | | | - Martin Holmstrup
- Department of Bioscience, Aarhus University, Vejlsøvej 25, Aarhus, Denmark
| | - Kristine N Hopfensperger
- Department of Biological Science, Northern Kentucky University, 1 Nunn Drive, Highland Heights, KY, USA
| | - Esperanza Huerta Lwanga
- Agricultura Sociedad y Ambiente, El Colegio de la Frontera Sur, Av. Polígono s/n Cd. Industrial Lerma, Campeche, Campeche, Mexico.,Soil Physics and Land Management Group, Wageningen University & Research, Droevendaalsteeg 4, Wageningen, The Netherlands
| | - Veikko Huhta
- Dept. of Biological and Environmental Sciences, University of Jyväskylä, Box 35, Jyväskylä, Finland
| | - Tunsisa T Hurisso
- Department of Soil and Crop Sciences, Colorado State University, 1170 Campus Delivery, Fort Collins, CO, USA.,College of Agriculture, Environmental and Human Sciences, Lincoln University of Missouri, Jefferson City, MO, 65101, USA
| | - Basil V Iannone
- School of Forest Resources and Conservation, University of Florida, Gainesville, USA
| | - Madalina Iordache
- Sustainable Development and Environmental Engineering, University of Agricultural Sciences and Veterinary Medicine of Banat "King Michael the 1st of Romania" from Timisoara, Calea Aradului 119, Timisoara, Romania
| | - Ulrich Irmler
- Institute for Ecosystem Research, University of Kiel, Olshausenstrasse 40, 24098, Kiel, Germany
| | - Mari Ivask
- Tartu College, Tallinn University of Technology, Puiestee 78, Tartu, Estonia
| | - Juan B Jesús
- Biodiversity, Ecology and Evolution, Faculty of Biology, University Complutense of Madrid, José Antonio Novais, 12, Madrid, Spain
| | - Jodi L Johnson-Maynard
- Department of Soil and Water Systems, University of Idaho, 875 Perimeter Drive MS, 2340, Moscow, USA
| | - Monika Joschko
- Experimental Infrastructure Platform (EIP), Leibniz Centre for Agricultural Landscape Research, Eberswalder Str. 84, Müncheberg, Germany
| | - Nobuhiro Kaneko
- Faculty of Food and Agricultural Sciences, Fukushima University, Kanayagawa 1, Fukushima, Japan
| | - Radoslava Kanianska
- Department of Environment, Faculty of Natural Sciences, Matej Bel University, Tajovského 40, Banská Bystrica, Slovakia
| | - Aidan M Keith
- UK Centre for Ecology & Hydrology, Library Avenue, Bailrigg, Lancaster, United Kingdom
| | - Maria L Kernecker
- Land Use and Governance, Leibniz Centre for Agricultural Landscape Research, Eberswalder Str. 84, Müncheberg, Germany
| | - Armand W Koné
- UFR Sciences de la Nature, UR Gestion Durable des Sols, Université Nangui Abrogoua, Abidjan, Côte d'Ivoire
| | - Yahya Kooch
- Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, 46417-76489, Noor, Mazandaran, Iran
| | - Sanna T Kukkonen
- Production Systems, Natural Resources Institute Finland, Survontie 9 A, Jyväskylä, Finland
| | - H Lalthanzara
- Department of Zoology, Pachhunga University College, Aizawl, Mizoram, India
| | - Daniel R Lammel
- Institute of Biology, Freie Universität Berlin, 14195, Berlin, Germany
| | - Iurii M Lebedev
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Leninsky pr., 33, Moscow, 119071, Russia.,M.V. Lomonosov Moscow State University, Leninskie Gory, 1, Moscow, 119991, Russia.,Skolkovo Institute of Science and Technology, 30-1 Bolshoy Boulevard, Moscow, 121205, Russia
| | | | - Noa K Lincoln
- Tropical Plant and Soil Sciences, College of Tropical Agriculture and Human Resources, University of Hawai'i at Manoa, 3190 Maile Way, St. John 102, Honolulu, USA
| | - Danilo López-Hernández
- Ecologia Aplicada, Instituto de Zoologia y Ecologia Tropical, Universidad Central de Venezuela, Los Chaguaramos, Ciudad Universitaria, Caracas, Venezuela
| | - Scott R Loss
- Department of Natural Resource Ecology and Management, Oklahoma State University, 008C, Ag Hall, Stillwater, USA
| | - Raphael Marichal
- UPR Systèmes de Pérennes, CIRAD, Univ Montpellier, TA B-34/02 Avenue Agropolis, Montpellier, France
| | - Radim Matula
- Department of Forest Ecology, Faculty of Forestry and Wood Technology, Czech University of Life Sciences Prague, Kamýcká 129, Prague, Czech Republic
| | - Yukio Minamiya
- Tochigi Prefectural Museum, 2-2 Mutsumi-cho, Utsunomiya, Japan
| | - Jan Hendrik Moos
- Thuenen-Institute of Biodiversity, Bundesallee 65, Braunschweig, Germany.,Thuenen-Institute of Organic Farming, Trenthorst 32, Westerau, Germany
| | - Gerardo Moreno
- Plant Biology, Ecology and Earth Science, INDEHESA, University of Extremadura, Plasencia, Spain
| | - Alejandro Morón-Ríos
- Conservación de la Biodiversidad, El Colegio de la Frontera Sur, Av. Rancho, poligono 2 A, Cd. Industrial de Lerma, Campeche, Mexico
| | - Hasegawa Motohiro
- Department of Environmental Systems Science, Faculty of Science and Engineering, Doshisha University, Kyoto, 602-8580, Japan
| | - Bart Muys
- Department of Earth & Environmental Sciences, Division of Forest, Nature and Landscape, KU Leuven, Celestijnenlaan 200E Box, 2411, Leuven, Belgium
| | - Johan Neirynck
- Research Institute for Nature and Forest, Gaverstraat 35, 9500, Geraardsbergen, Belgium
| | - Lindsey Norgrove
- School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, Länggasse 85, Zollikofen, Switzerland
| | - Marta Novo
- Biodiversity, Ecology and Evolution, Faculty of Biology, University Complutense of Madrid, José Antonio Novais, 12, Madrid, Spain
| | - Visa Nuutinen
- Soil Ecosystems, Natural Resources Institute Finland (Luke), Tietotie 4, Jokioinen, Finland
| | - Victoria Nuzzo
- Natural Area Consultants, 1 West Hill School Road, Richford, NY, USA
| | - P Mujeeb Rahman
- Department of Zoology, PSMO College, Tirurangadi, Malappuram, Kerala, India, Malappuram, India
| | - Johan Pansu
- CSIRO Ocean and Atmosphere, CSIRO, New Illawarra Road, Lucas Heights, NSW, Australia.,UMR7144 Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, CNRS/Sorbonne Université, Place Georges Teissier, Roscoff, France
| | - Shishir Paudel
- Department of Natural Resource Ecology and Management, Oklahoma State University, 008C, Ag Hall, Stillwater, USA.,Phipps Conservatory and Botanical Gardens, Pittsburgh, PA, 15213, USA
| | - Guénola Pérès
- UMR ECOBIO (Ecosystems, Biodiversity, Evolution) CNRS-Université de Rennes, Station Biologique, 35380, Paimpont, France.,UMR SAS, INRAE, Institut Agro Agrocampus Ouest, 35000, Rennes, France
| | - Lorenzo Pérez-Camacho
- Forest Ecology and Restoration Group, Department of Life Sciences, University of Alcalá, 28805, Alcalá De Henares, Spain
| | - Jean-François Ponge
- Adaptations du Vivant, CNRS UMR 7179, Muséum National d'Histoire Naturelle, 4 Avenue du Petit Château, Brunoy, France
| | - Jörg Prietzel
- Department of Ecology and Ecosystem Management, Technical University of Munich, Emil-Ramann-Str. 2, 85354, Freising, Germany
| | - Irina B Rapoport
- Tembotov Institute of Ecology of Mountain Territories, Russian Academy of Sciences, I. Armand, 37a, Nalchik, Russia
| | - Muhammad Imtiaz Rashid
- Center of Excellence in Environmental Studies, King Abdulaziz University, P.O Box 80216, Jeddah, 21589, Saudi Arabia
| | - Salvador Rebollo
- Forest Ecology and Restoration Group, Department of Life Sciences, University of Alcalá, 28805, Alcalá De Henares, Spain
| | - Miguel Á Rodríguez
- Global Change Ecology and Evolution Research Group (GloCEE), Department of Life Sciences, University of Alcalá, 28805, Alcalá De Henares, Spain
| | - Alexander M Roth
- Department of Forest Resources, University of Minnesota, 1530, Cleveland Ave. N, St. Paul, USA.,Friends of the Mississippi River, 101 E 5th St. Suite 2000, St Paul, USA
| | - Guillaume X Rousseau
- Agriculture engineering, Agroecology Postgraduate Program, Maranhão State University, Avenida Lourenço Vieira da Silva 1000, São Luis, Brazil.,Biology, Biodiversity and Conservation Postgraduate Program, Federal University of Maranhão, Avenida dos Portugueses 1966, São Luis, Brazil
| | - Anna Rozen
- Institute of Environmental Sciences, Jagiellonian University, Gronostajowa 7, Kraków, Poland
| | | | - Loes van Schaik
- Soil Physics and Land Management Group, Wageningen University & Research, Droevendaalsteeg 4, Wageningen, The Netherlands
| | - Bryant Scharenbroch
- College of Natural Resources, University of Wisconsin, Stevens Point, WI, 54481, USA.,The Morton Arboretum, 4100 Illinois Route 53, Lisle, IL, 60532, USA
| | - Michael Schirrmann
- Department Engineering for Crop Production, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Max-Eyth-Allee 100, Potsdam, Germany
| | - Olaf Schmidt
- School of Agriculture and Food Science, University College Dublin, Agriculture and Food Science Centre, Dublin, Ireland.,UCD Earth Institute, University College Dublin, Dublin, Ireland
| | - Boris Schröder
- Landscape Ecology and Environmental Systems Analysis, Institute of Geoecology, Technische Universität Braunschweig, Langer Kamp 19c, Braunschweig, Germany
| | - Julia Seeber
- Department of Ecology, University of Innsbruck, Technikerstrasse 25, Innsbruck, Austria.,Institute for Alpine Environment, Eurac Research, Viale Druso 1, Bozen/Bolzano, Italy
| | - Maxim P Shashkov
- Laboratory of Ecosystem Modelling, Institute of Physicochemical and Biological Problems in Soil Science of the Russian Academy of Sciences, Institutskaya str., 2, Pushchino, Russia.,Laboratory of Computational Ecology, Institute of Mathematical Problems of Biology RAS - the Branch of Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences, Vitkevicha str., 1, Pushchino, Russia
| | - Jaswinder Singh
- Department of Zoology, Khalsa College Amritsar, Amritsar, Punjab, India
| | - Sandy M Smith
- Faculty of Forestry, University of Toronto, 33 Willcocks Street, Toronto, Canada
| | - Michael Steinwandter
- Institute for Alpine Environment, Eurac Research, Viale Druso 1, Bozen/Bolzano, Italy
| | - Katalin Szlavecz
- Department of Earth and Planetary Sciences, Johns Hopkins University, 3400 N. Charles Street, Baltimore, USA
| | - José Antonio Talavera
- Department of animal biology, edaphology and geology, Faculty of Sciences (Biology), University of La Laguna, La Laguna, Santa Cruz De Tenerife, Spain
| | - Dolores Trigo
- Biodiversity, Ecology and Evolution, Faculty of Biology, University Complutense of Madrid, José Antonio Novais, 12, Madrid, Spain
| | - Jiro Tsukamoto
- Forest Science, Kochi University, Monobe Otsu 200, Nankoku, Japan
| | - Sheila Uribe-López
- Juárez Autonomous University of Tabasco, Nanotechnology Engineering, Multidisciplinary Academic Division of Jalpa de Méndez, Carr. Estatal libre Villahermosa-Comalcalco, Km 27 S/N, C.P. 86205 Jalpa de Méndez, Tabasco, Mexico
| | - Anne W de Valença
- Unit Food & Agriculture, WWF-Netherlands, Driebergseweg 10, Zeist, The Netherlands
| | - Iñigo Virto
- Dpto. Ciencias, IS-FOOD, Universidad Pública de Navarra, Edificio Olivos - Campus Arrosadia, Pamplona, Spain
| | - Adrian A Wackett
- Department of Soil, Water and Climate, University of Minnesota, 1991 Upper Buford Circle, St Paul, USA
| | - Matthew W Warren
- Earth Innovation Institute, 98 Battery Street Suite 250, San Francisco, USA
| | - Emily R Webster
- University of California Davis, 1 Shields Avenue, Davis, USA
| | - Nathaniel H Wehr
- Natural Resources & Environmental Management, University of Hawaii at Manoa, 1910 East West Rd, Honolulu, USA
| | - Joann K Whalen
- Natural Resource Sciences, McGill University, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, Canada
| | | | - Volkmar Wolters
- Animal Ecology, Justus Liebig University, Heinrich-Buff-Ring 26, Giessen, Germany
| | - Pengfei Wu
- Institute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu, China
| | - Irina V Zenkova
- Laboratory of terrestrial ecosystems, Federal Research Centre "Kola Science Centre of the Russian Academy of Sciences", Institute of North Industrial Ecology Problems (INEP KSC RAS), Akademgorodok, 14a, Apatity, Murmansk, Province, Russia
| | - Weixin Zhang
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, College of Environment and Planning, Henan University, Kaifeng, China
| | - Erin K Cameron
- Department of Environmental Science, Saint Mary's University, Halifax, Nova Scotia, Canada.,Faculty of Biological and Environmental Sciences, Post Office Box 65, FI 00014, University of Helsinki, Helsinki, Finland
| | - Nico Eisenhauer
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.,Institute of Biology, Leipzig University, Puschstrasse 4, 04103, Leipzig, Germany
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9
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Luth EA, Russell DJ, Xu JC, Lauder B, Ryvicker MB, Dignam RR, Baughn R, Bowles KH, Prigerson HG. Survival in hospice patients with dementia: the effect of home hospice and nurse visits. J Am Geriatr Soc 2021; 69:1529-1538. [PMID: 33608869 DOI: 10.1111/jgs.17066] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/15/2021] [Accepted: 01/26/2021] [Indexed: 01/30/2023]
Abstract
BACKGROUND Hospice patients with dementia are at increased risk for live discharge and long lengths of stay (>180 days), causing patient and family caregiver stress and burden. The location and timing of clinician visits are important factors influencing whether someone dies as expected, in hospice, or experiences a live discharge or long length of stay. OBJECTIVE Examine how home hospice and nurse visit frequency relate to dying in hospice within the Medicare-intended 6-month period. DESIGN Retrospective cohort study. SETTING Non-profit hospice agency. PARTICIPANTS Three thousand eight hundred and thirty seven patients with dementia who received hospice services from 2013 to 2017. METHODS Multivariable survival analyses examined the effects of receiving home hospice (vs. nursing home) and timing of nurse visits on death within 6 months of hospice enrollment, compared to live discharge or long length of stay. Models adjust for relevant demographic and clinical factors. RESULTS Thirty-nine percent (39%) of patients experienced live discharge or long length of stay. Home hospice patients were more likely to experience live discharge or long length of stays (HR for death: 0.77, 95%CI: 0.69-0.86, p < 0.001). Frequency of nurse visits was inversely associated with live discharge and long lengths of stay (HR for death: 2.87, 95%CI: 2.47-3.33, p < 0.001). CONCLUSION Nearly 40% of patients with dementia in our study experienced live discharge or a long length of stay. Additional research is needed to understand why home hospice may result in live discharge or a long length of stay for patients with dementia. Nurse visits were associated with death, suggesting their responsiveness to deteriorating patient health. Hospice guidelines may need to permit longer stays so community-dwelling patients with dementia, a growing segment of hospice patients, can remain continuously enrolled in hospice and avoid burden and costs associated with live discharge.
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Affiliation(s)
- Elizabeth A Luth
- Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - David J Russell
- Center for Home Care & Policy Research, Visiting Nurse Service of New York, New York, New York, USA.,Department of Sociology, Appalachian State University, Boone, North Carolina, USA
| | - Jiehui Cici Xu
- Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Bonnie Lauder
- Hospice and Palliative Care Services, Visiting Nurse Service of New York, New York, New York, USA
| | - Miriam B Ryvicker
- Center for Home Care & Policy Research, Visiting Nurse Service of New York, New York, New York, USA
| | - Ritchell R Dignam
- Hospice and Palliative Care Services, Visiting Nurse Service of New York, New York, New York, USA
| | - Rosemary Baughn
- Hospice and Palliative Care Services, Visiting Nurse Service of New York, New York, New York, USA
| | - Kathryn H Bowles
- Center for Home Care & Policy Research, Visiting Nurse Service of New York, New York, New York, USA.,Biobehavioral Health Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Holly G Prigerson
- Department of Medicine, Weill Cornell Medicine, New York, New York, USA
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10
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Thakur MP, Phillips HRP, Brose U, De Vries FT, Lavelle P, Loreau M, Mathieu J, Mulder C, Van der Putten WH, Rillig MC, Wardle DA, Bach EM, Bartz MLC, Bennett JM, Briones MJI, Brown G, Decaëns T, Eisenhauer N, Ferlian O, Guerra CA, König‐Ries B, Orgiazzi A, Ramirez KS, Russell DJ, Rutgers M, Wall DH, Cameron EK. Towards an integrative understanding of soil biodiversity. Biol Rev Camb Philos Soc 2020; 95:350-364. [PMID: 31729831 PMCID: PMC7078968 DOI: 10.1111/brv.12567] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 10/07/2019] [Accepted: 10/11/2019] [Indexed: 12/25/2022]
Abstract
Soil is one of the most biodiverse terrestrial habitats. Yet, we lack an integrative conceptual framework for understanding the patterns and mechanisms driving soil biodiversity. One of the underlying reasons for our poor understanding of soil biodiversity patterns relates to whether key biodiversity theories (historically developed for aboveground and aquatic organisms) are applicable to patterns of soil biodiversity. Here, we present a systematic literature review to investigate whether and how key biodiversity theories (species-energy relationship, theory of island biogeography, metacommunity theory, niche theory and neutral theory) can explain observed patterns of soil biodiversity. We then discuss two spatial compartments nested within soil at which biodiversity theories can be applied to acknowledge the scale-dependent nature of soil biodiversity.
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Affiliation(s)
- Madhav P. Thakur
- Department of Terrestrial EcologyNetherlands Institute of Ecology (NIOO‐KNAW)WageningenGelderland, The Netherlands
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biology, Leipzig UniversityLeipzigSaxony, Germany
| | - Helen R. P. Phillips
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
| | - Ulrich Brose
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biodiversity, Friedrich Schiller University JenaJenaThuringia, Germany
| | - Franciska T. De Vries
- School of Earth and Environmental Sciences, The University of ManchesterManchesterNorth West England, UK
| | | | - Michel Loreau
- Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier UniversityMoulisOccitanie, France
| | - Jerome Mathieu
- Sorbonne Université, CNRS, UPECParisÎle-de-France, France
| | - Christian Mulder
- Department BiologicalGeological and Environmental Sciences, University of CataniaCataniaSicily, Italy
| | - Wim H. Van der Putten
- Department of Terrestrial EcologyNetherlands Institute of Ecology (NIOO‐KNAW)WageningenGelderland, The Netherlands
- Laboratory of NematologyWageningen UniversityWageningenGelderland, The Netherlands
| | - Matthias C. Rillig
- Freie Universität Berlin, Institute of BiologyBerlinGermany
- Berlin‐Brandenburg Institute of Advanced Biodiversity Research (BBIB)BerlinGermany
| | - David A. Wardle
- Asian School for the Environment, Nanyang Technological UniversitySingaporeSingapore
| | - Elizabeth M. Bach
- Department of Biology and School of Global Environmental SustainabilityColorado State UniversityFort CollinsCOUSA
| | - Marie L. C. Bartz
- Center of Functional Ecology, Department of Life SciencesUniversity of CoimbraCoimbraCentro, Portugal
- Universidade Positivo, Rua Professor Pedro Viriato Parigot de SouzaCuritiba Paraná, Brazil
| | - Joanne M. Bennett
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biology, Martin Luther University Halle‐WittenbergHalle (Saale)Saxony-Anhalt, Germany
| | - Maria J. I. Briones
- Departamento de Ecología y Biología AnimalUniversidad de VigoVigoGalicien, Spain
| | | | - Thibaud Decaëns
- Centre d'Ecologie Fonctionnelle et Evolutive (CEFE UMR 5175, CNRS–Université de Montpellier–Université Paul‐Valéry Montpellier–EPHE)MontpellierOccitanie, France
| | - Nico Eisenhauer
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biology, Leipzig UniversityLeipzigSaxony, Germany
| | - Olga Ferlian
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biology, Leipzig UniversityLeipzigSaxony, Germany
| | - Carlos António Guerra
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Biology, Martin Luther University Halle‐WittenbergHalle (Saale)Saxony-Anhalt, Germany
| | - Birgitta König‐Ries
- German Centre for Integrative Biodiversity Research (iDiv), Halle‐Jena‐LeipzigLeipzigSaxony, Germany
- Institute of Computer Science, Friedrich Schiller University JenaJenaThuringia, Germany
| | - Alberto Orgiazzi
- European Commission, Joint Research Centre (JRC), Sustainable Resources DirectorateIspraVareseItaly
| | - Kelly S. Ramirez
- Department of Terrestrial EcologyNetherlands Institute of Ecology (NIOO‐KNAW)WageningenGelderland, The Netherlands
| | - David J. Russell
- Senckenberg Museum of Natural History GörlitzGoerlitzSaxony, Germany
| | - Michiel Rutgers
- National Institute for Public Health and the EnvironmentBilthovenUtrecht, The Netherlands
| | - Diana H. Wall
- Department of Biology and School of Global Environmental SustainabilityColorado State UniversityFort CollinsCOUSA
| | - Erin K. Cameron
- Faculty of Biological and Environmental SciencesUniversity of HelsinkiHelsinki, Uusimaa, Finland
- Department of Environmental ScienceSaint Mary's UniversityHalifaxNova ScotiaCanada
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11
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Luth EA, Russell DJ, Brody AA, Dignam R, Czaja SJ, Ryvicker M, Bowles KH, Prigerson HG. Race, Ethnicity, and Other Risks for Live Discharge Among Hospice Patients with Dementia. J Am Geriatr Soc 2020; 68:551-558. [PMID: 31750935 PMCID: PMC7056492 DOI: 10.1111/jgs.16242] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 10/06/2019] [Accepted: 10/10/2019] [Indexed: 11/29/2022]
Abstract
OBJECTIVES The end-of-life trajectory for persons with dementia is often protracted and difficult to predict, placing these individuals at heightened risk of live discharge from hospice. Risks for live discharge due to condition stabilization or failure to decline among patients with dementia are not well established. Our aim was to identify demographic, health, and hospice service factors associated with live discharge due to condition stabilization or failure to decline among hospice patients with dementia. DESIGN Retrospective cohort study. SETTING A large not-for-profit agency in New York City. PARTICIPANTS A total of 2629 hospice patients with dementia age 65 years and older. MEASUREMENTS Primary outcome was live discharge from hospice due to condition stabilization or failure to decline (vs death). Measures include demographic factors (race/ethnicity, Medicaid, sex, age, marital status, parental status), health characteristics (primary dementia diagnosis, comorbidities, functional status, prior hospitalization), and hospice service (location, length of service, number and timing of nurse visits). RESULTS Logistic regression models indicated that compared with white hospice patients with dementia, African American and Hispanic hospice patients with dementia experienced increased risk of live discharge (African American: adjusted odds ratio [aOR] = 2.42; 95% confidence interval [CI] = 1.34-4.38; Hispanic: aOR = 2.99; 95% CI = 1.81-4.94). Home hospice (aOR = 7.57; 95% CI = 4.04-14.18), longer length of service (aOR = 1.04; 95% CI = 1.04-1.05), and more days between nurse visits and discharge (aOR = 1.86; 95% CI = 1.56-2.21) were also associated with live discharge. CONCLUSION To avoid burdensome and disruptive transitions out of hospice in patients with dementia, interventions to reduce live discharge due to condition stabilization or failure to decline should be tailored to meet the needs of African American, Hispanic, and home hospice patients. Policies regarding sustained hospice eligibility should account for the variable and protracted end-of-life trajectory of patients with dementia. J Am Geriatr Soc 68:551-558, 2020.
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Affiliation(s)
| | - David J. Russell
- Center for Home Care Policy & Research, Visiting Nurse
Service of New York
- Department of Sociology Appalachian State University
| | - Abraham A. Brody
- New York University College of Nursing
- James J Peters Bronx VA Medical Center, GRECC
| | - Ritchell Dignam
- Center for Home Care Policy & Research, Visiting Nurse
Service of New York
| | | | - Miriam Ryvicker
- Center for Home Care Policy & Research, Visiting Nurse
Service of New York
| | - Kathryn H. Bowles
- Center for Home Care Policy & Research, Visiting Nurse
Service of New York
- University of Pennsylvania School of Nursing
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12
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Zhang W, Hate SS, Russell DJ, Hou HH, Nagapudi K. Impact of Surfactant and Surfactant-Polymer Interaction on Desupersaturation of Clotrimazole. J Pharm Sci 2019; 108:3262-3271. [DOI: 10.1016/j.xphs.2019.05.035] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 05/05/2019] [Accepted: 05/24/2019] [Indexed: 12/21/2022]
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13
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Russell DJ, Barlis P. Unexpected mirror-image dextrocardia in a patient with ST elevation myocardial infarction. Intern Med J 2018; 47:1084-1085. [PMID: 28891179 DOI: 10.1111/imj.13529] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Accepted: 12/06/2016] [Indexed: 11/30/2022]
Affiliation(s)
| | - Peter Barlis
- The Northern Hospital, Melbourne, Victoria, Australia
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14
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Russell DJ, Ponnuthurai FA. Expectorate the unexpected. Med J Aust 2017; 206:431. [PMID: 28566067 DOI: 10.5694/mja16.00877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 10/31/2016] [Indexed: 11/17/2022]
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Krishnamurthy K, Sefler AM, Russell DJ. Application of CRAFT in two-dimensional NMR data processing. Magn Reson Chem 2017; 55:224-232. [PMID: 27160956 DOI: 10.1002/mrc.4449] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Revised: 04/08/2016] [Accepted: 04/18/2016] [Indexed: 06/05/2023]
Abstract
Two-dimensional (2D) data are typically truncated in both dimensions, but invariably and severely so in the indirect dimension. These truncated FIDs and/or interferograms are extensively zero filled, and Fourier transformation of such zero-filled data is always preceded by a rapidly decaying apodization function. Hence, the frequency line width in the spectrum (at least parallel to the evolution dimension) is almost always dominated by the apodization function. Such apodization-driven line broadening in the indirect (t1 ) dimension leads to the lack of clear resolution of cross peaks in the 2D spectrum. Time-domain analysis (i.e. extraction of frequency, amplitudes, line width, and phase parameters directly from the FID, in this case via Bayesian modeling into a tabular format) of NMR data is another approach for spectral resonance characterization and quantification. The recently published complete reduction to amplitude frequency table (CRAFT) technique converts the raw FID data (i.e. time-domain data) into a table of frequencies, amplitudes, decay rate constants, and phases. CRAFT analyses of time-domain data require minimal or no apodization prior to extraction of the four parameters. We used the CRAFT processing approach for the decimation of the interferograms and compared the results from a variety of 2D spectra against conventional processing with and without linear prediction. The results show that use of the CRAFT technique to decimate the t1 interferograms yields much narrower spectral line width of the resonances, circumventing the loss of resolution due to apodization. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
| | | | - David J Russell
- Small Molecule Analytical Chemistry and QC, Genentech, South San Francisco, CA, USA
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Nolan MT, Russell DJ, Negishi K, Marwick TH. Meta-Analysis of Association Between Mediastinal Radiotherapy and Long-Term Heart Failure. Am J Cardiol 2016; 118:1685-1691. [PMID: 27692592 DOI: 10.1016/j.amjcard.2016.08.050] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Revised: 08/18/2016] [Accepted: 08/18/2016] [Indexed: 12/19/2022]
Abstract
This investigation sought to identify and quantify any increased risk of long-term heart failure (HF) after thoracic radiotherapy (RT) for cancer and identify any population covariates that corresponded with increased risk. Electronic databases were systematically searched for studies reporting relative risk, odds ratio, and hazard ratio (HR) for symptomatic HF more than 5 years after RT administration. Clinical characteristics, study design, univariable effect sizes, and associated 95% CIs were extracted. Univariable effect size was pooled and computed in a meta-analysis using random-effects model weighted by inverse variance. Six studies (45,669 patients) with weighted median follow-up duration of 13.9 years were included, each data-linkage study that reported HRs for HF. Pooled HR for long-term HF was significant (HR 1.83 [1.09 to 3.08], p = 0.022), with significant between-study heterogeneity (Q 43.38, df = 5, p <0.001, I2 88.47%). Statistical significance was lost when excluding studies of malignancies other than breast cancer or hematological malignancies and excluding studies with Newcastle-Ottawa scores <8, but the direction of effect and magnitude remained approximately the same. Subgroup and meta-regression analyses demonstrated that study differences in age at time of RT administration and duration of follow-up explained approximately 80% of observed heterogeneity. Earlier publication date was associated with increased HF risk. Other variables, including female proportion, proportion of adjuvant chemotherapy use, and sample size did not significantly impact the conclusions. In conclusion, RT approximately doubled the long-term risk of HF. This finding was associated with younger age at time of RT and longer follow-up duration, which explained approximately 80% of interstudy heterogeneity.
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Affiliation(s)
- Mark T Nolan
- Cardiometabolic Research Unit, Menzies Institute for Medical Research, Hobart, Australia.
| | - David J Russell
- Department of Cardiology, Royal Hobart Hospital, Hobart, Australia
| | - Kazuaki Negishi
- Cardiometabolic Research Unit, Menzies Institute for Medical Research, Hobart, Australia; Department of Cardiology, Royal Hobart Hospital, Hobart, Australia
| | - Thomas H Marwick
- Cardiometabolic Research Unit, Menzies Institute for Medical Research, Hobart, Australia; Baker International Diabetes Institute Heart and Diabetes Institute, Melbourne, Australia
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Abstract
Muller’s muscle resection (MMR) surgery is effective for repair of eyelid ptosis. We describe an efficient modification to the MMR surgery, as described by Putterman, which uses locking 0.5-mm forceps, in place of retraction sutures, to retract the conjunctiva and Muller’s muscle while the ptosis clamp is applied. A chart review was performed to identify 100 consecutive patients starting from January 2015 who underwent the described technique of MMR. Primary end points were need for reoperation or complications. Pathologic specimens were reviewed for similarity between the standard approach using retraction sutures and the modified technique using locking forceps. All 100 patients had satisfactory surgical outcomes. There were no complications or reoperations needed. Pathologic analysis on tissue from the standard technique and modified technique was similar. The described technique is a technically easy, cost-effective, and logistically feasible modification that ptosis surgeons could adopt immediately.
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Affiliation(s)
- David J. Russell
- California Pacific Medical Center, San Francisco, USA
- University of California, San Francisco, USA
| | - Rona Z. Silkiss
- California Pacific Medical Center, San Francisco, USA
- University of California, San Francisco, USA
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Nolan MT, Russell DJ, Marwick TH. Long-term Risk of Heart Failure and Myocardial Dysfunction After Thoracic Radiotherapy: A Systematic Review. Can J Cardiol 2016; 32:908-20. [DOI: 10.1016/j.cjca.2015.12.020] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2015] [Revised: 11/16/2015] [Accepted: 12/07/2015] [Indexed: 01/12/2023] Open
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A. Bradley S, A. Smitka T, J. Russell D, Krishnamurthy K. Quantitative NMR Analysis of Complex Mixtures Using CRAFT (Complete Reduction to Amplitude Frequency Table) Method. ACTA ACUST UNITED AC 2015. [DOI: 10.2174/2213235x03666150226231519] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Anger JT, Goldman HB, Zou KH, Luo X, Russell DJ, Chapman D, Esinduy C, Clemens JQ. MP24-13 PATTERNS OF NON-SURGICAL MANAGEMENT OF BENIGN PROSTATIC HYPERPLASIA (BPH) IN THE UNITED STATES. J Urol 2015. [DOI: 10.1016/j.juro.2015.02.1155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Russell DJ, Fallah S, Loer CJ, Riffenburgh RH. A comprehensive model for correcting RNFL readings of varying signal strengths in cirrus optical coherence tomography. Invest Ophthalmol Vis Sci 2014; 55:7297-302. [PMID: 25324287 DOI: 10.1167/iovs.14-14993] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
PURPOSE To develop a model for the Cirrus HD-OCT that allows for the comparison of retinal nerve fiber layer (RNFL) thickness measurements with dissimilar signal strengths (SS) and accounts for test-retest variability. METHODS Retinal nerve fiber layers were obtained in normals using the Cirrus optic disc cube 200 × 200 protocol during a single encounter. Five RNFL scans were obtained with a SS of 9 or 10. Diffusion lens filters were used to degrade SS to obtain five scans at each SS group of 7 or 8, 5 or 6, and 3 or 4. The relationship between average RNFL thickness and SS was established, and an equation was developed to allow for adjustment of an RNFL measurement had it been a SS of 7. Intravisit interclass correlation coefficient (ICC) and coefficient of variation (CV) parameter estimates for each SS group were calculated. Repeatability and upper tolerance limit were calculated as 1.96 × √2 × within-subject standard deviation (Sw) and 1.645 × √2 × Sw, respectively. RESULTS There was a linear relationship between average RNFL and SS. RNFLadj = RNFL - 1.03*SS + 7.21 allows for the adjustment of RNFL readings to the same SS. Interclass correlation coefficients and CVs were good for all measurements down to SS of 3 or 4. Repeatability and upper tolerance limit were 5.24 and 4.40 μm, respectively. CONCLUSIONS Our model adjusts RNFL readings based on SS and includes an upper tolerance limit of 5 μm. If validated, this model could improve the detection of real RNFL changes. Further study to validate this model should be performed before widespread use is adopted.
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Affiliation(s)
- David J Russell
- Naval Medical Center, San Diego, San Diego, California, United States
| | - Shamis Fallah
- Naval Medical Center, San Diego, San Diego, California, United States
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Abstract
Multiple sequence alignment involves identifying related subsequences among biological sequences. When matches are found, the associated pieces are shifted so that when sequences are presented as successive rows-one sequence per row-homologous residues line-up in columns. Exact alignment of more than a few sequences is known to be computationally prohibitive. Thus many heuristic algorithms have been developed to produce good alignments in an efficient amount of time by determining an order by which pairs of sequences are progressively aligned and merged. GRAMALIGN is such a progressive alignment algorithm that uses a grammar-based relative complexity distance metric to determine the alignment order. This technique allows for a computationally efficient and scalable program useful for aligning both large numbers of sequences and sets of long sequences quickly. The GRAMALIGN software is available at http://bioinfo.unl.edu/gramalign.php for both source code download and a web-based alignment server.
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Affiliation(s)
- David J Russell
- Department of Electrical Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA
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Sterling C, Crouch R, Russell DJ, Calderón AI. (1) H-NMR quantification of major saccharides in açaí raw materials: a comparison of the internal standard methodology with the absolute intensity qNMR method. Phytochem Anal 2013; 24:631-637. [PMID: 23703884 DOI: 10.1002/pca.2442] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2013] [Revised: 03/16/2013] [Accepted: 03/18/2013] [Indexed: 06/02/2023]
Abstract
INTRODUCTION While the use of internal standard methodology for qNMR is a proven and reliable form of quantification, simplified alternative approaches are needed. Agilent's absolute intensity qNMR utility software is a valuable alternative that has not yet been subjected to validation in the peer-reviewed literature. OBJECTIVE To provide validation of Agilent's absolute intensity qNMR method with a specific application to natural product quantification by measuring saccharide content in açaí materials. METHODS In order to validate the method, calibration test samples of ibuprofen were prepared in DMSO-d6 at nine different concentrations and measured with (1) H-NMR. A minimum of 40 spectra were collected for each sample, and the absolute intensity utility was used for quantification. The same methodology was then applied to the açaí materials, creating triplicates for each of the materials and using 3-(trimethylsilyl)-1-propanesulphonic acid sodium salt in water-d2 as both the solvent and internal standard. (1) H-NMR spectra were collected, and the amounts of glucose, sucrose and fructose were determined using both the internal standard approach and the absolute intensity qNMR method. RESULTS Applying the absolute intensity utility to the ibuprofen samples demonstrated a linear response (R(2) = 0.99943). For the açaí investigations, results obtained from the absolute intensity method were comparable to those obtained from the internal standard approach, with percentage differences ranging from 0.5-6.2%. CONCLUSION This study demonstrates the accuracy, precision and reliability of Agilent's absolute intensity qNMR method. In addition, practical information is provided for assessing the saccharide contents of açaí materials.
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Affiliation(s)
- Cole Sterling
- Department of Pharmacal Sciences, Harrison School of Pharmacy, Auburn University, 4306B Walker Building, Auburn, AL, 36849, USA
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Kertoy MK, Russell DJ, Rosenbaum P, Jaffer S, Law M, McCauley D, Gorter JW. Development of an outcome measurement system for service planning for children and youth with special needs. Child Care Health Dev 2013; 39:750-9. [PMID: 22845889 PMCID: PMC3842109 DOI: 10.1111/j.1365-2214.2012.01409.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/18/2012] [Indexed: 11/27/2022]
Abstract
AIM This study described the process used in developing an outcome measurement framework for system planning to improve services for children and youth with special needs and their families in a Canadian province. The study reports the results of several parent-completed measures, which would be useful in service planning as well as the acceptability and utility of these measures for use by families and service centres. METHODS/RESULTS Development of a theoretical framework, consultation with key stakeholders, testing the utility of selected outcome measures and initial dissemination of results were critical elements in the successful development of an outcome system. Consultation with stakeholders confirmed use of the International Classification of Functioning, Disability and Health and the child-within-family-within community model as theoretical frameworks while building valuable partnerships and identifying potential barriers to implementation. Pilot testing showed three outcome measures were feasible for families to complete and the measures provided information about services for children that was valuable to families as well as service providers. Gaps in service delivery were identified and the need for better communication between service providers and communities to facilitate integrated services was highlighted. CONCLUSION The findings from this study can be used to implement an outcome measurement system for children with special needs and may serve as a resource for international researchers who are working to develop valid tools as well as outcome systems that are useful for system planning.
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Affiliation(s)
- M K Kertoy
- Western UniversityLondon, Ontario, Canada,CanChild Centre for Childhood Disability Research, McMaster UniversityHamilton, Ontario, Canada,Correspondence:, Marilyn K. Kertoy, PhD, Western University, School of Communication Sciences and Disorders, 1510 Elborn College, 1151 Richmond Street, London, Ontario N6G 1H1, Canada, E-mail:
| | - D J Russell
- CanChild Centre for Childhood Disability Research, McMaster UniversityHamilton, Ontario, Canada
| | - P Rosenbaum
- Department of Pediatrics, McMaster UniversityHamilton, Ontario, Canada
| | - S Jaffer
- CanChild Centre for Childhood Disability Research, McMaster UniversityHamilton, Ontario, Canada
| | - M Law
- CanChild Centre for Childhood Disability Research, McMaster UniversityHamilton, Ontario, Canada
| | - D McCauley
- CanChild Centre for Childhood Disability Research, McMaster UniversityHamilton, Ontario, Canada
| | - J W Gorter
- Department of Pediatrics, McMaster UniversityHamilton, Ontario, Canada
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Ruf A, Beylich A, Blick T, Buechs W, Glante F, Hoess S, Roß-Nikoll M, Ruess L, Russell DJ, Römke J, Römke J, Seitz H, Theißen B, Toschki A, Weinmann C, Zueghart W. Soil organisms as an essential element of a monitoring plan to identify the effects of GMO cultivation. Requirements – Methodology – Standardisation. ACTA ACUST UNITED AC 2013. [DOI: 10.3897/biorisk.8.3255] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Abstract
PURPOSE To describe the effect of radiation therapy on intraocular pressure in patients who have had orbital radiation for Graves' orbitopathy, and to provide a descriptive analysis of these patients. DESIGN Retrospective case series. PARTICIPANTS 24 consecutive patients referred for orbital radiation therapy for Graves' orbitopathy from December 1st, 2001 through July 31st, 2009. INTERVENTION Patients received a total of 2000 cGy fractionated over 10 days. MAIN OUTCOME MEASURES Medical records were reviewed for: demographics, tobacco history, ocular history, history related to Graves' disease, medications, visual field tests, retinopathy, and physical exam findings. The two-tailed Student's t-test was used to determine statistically significant differences in intraocular pressure before radiation therapy and 0-3 (T1), 4-6 (T2), 7-12 (T3), and 13-18 (T4) months following radiation therapy. RESULTS 34 eyes were available for analysis. There was no correlation between intraocular pressure and SPECS scores. Mean intraocular pressure prior to radiation therapy was 18.15 ± 3.83 mm Hg. Patients who had orbital decompression, eye muscle surgery, or glaucoma were excluded from the final analysis. There were 7, 11, 14, and 11 eyes with data at times T1, T2, T3, and T4 following radiation therapy, respectively. There was a significant decrease in mean intraocular pressure at T2, T3 and T4 of 26.00% ± 9.25%, 11.75% ± 27.58%, and 16.72% ± 13.94%, respectively. CONCLUSIONS There was a significant drop in mean intraocular pressure between 4 and 18 months after radiation therapy in our patient population. The mechanism by which this decrease in intraocular pressure occurs is not understood.
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Affiliation(s)
- David J Russell
- Department of Ophthalmology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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McCauley D, Gorter JW, Russell DJ, Rosenbaum P, Law M, Kertoy M. Assessment of environmental factors in disabled children 2-12 years: development and reliability of the Craig Hospital Inventory of Environmental Factors (CHIEF) for Children-Parent Version. Child Care Health Dev 2013; 39:337-44. [PMID: 22676242 DOI: 10.1111/j.1365-2214.2012.01388.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND Children with disabilities and their families experience environmental barriers in the school and community environments. There is a need to understand and appropriately measure environmental factors that influence activity and participation for disabled children. The purpose of this paper is to describe the adaptation process of the Craig Hospital Inventory of Environmental Factors (CHIEF) to make it suitable as a parent proxy measure for disabled children aged 2-12 years. METHODS The adaptation process consisted of four steps using data from previous research conducted at CanChild: (i) analysis of item-total correlations from all items on the CHIEF; (ii) frequency of endorsement; (iii) determination of the representativeness of the questions; and (iv) correlations on selected items. Once the items were selected, a test-retest reliability study was conducted. RESULTS The internal consistencies (α) for the time 1 and time 2 administrations were 0.76 and 0.78, respectively. Test-retest reliability of the questionnaire was ICC = 0.73 for the total product score. CONCLUSION The 10-item CHIEF for Children-Parent Version is an acceptable, easy-to-complete and reliable measure of perceived environmental barriers for disabled children 2-12 years of age.
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Affiliation(s)
- D McCauley
- CanChild Centre for Childhood Disability Research (http://www.canchild.ca), McMaster University, Hamilton, Canada
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Russell DJ, Thomson FE, Thuesen PA. Age and growth of two newly established invasive populations of Tilapia mariae in northern Australia. J Fish Biol 2013; 82:1211-1225. [PMID: 23557300 DOI: 10.1111/jfb.12059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2012] [Accepted: 12/20/2012] [Indexed: 06/02/2023]
Abstract
Sagittal otoliths were used to age the samples of Tilapia mariae collected from a coastal river and an impoundment. Validation of sagittae checks was achieved using both quantitative marginal increment analysis and by tetracycline marking of the otoliths of fish kept in tanks and in a farm dam. The annulus pattern on the otoliths was generally clear and their formation appeared to be temperature related and largely completed in the Austral spring around September and October. Male T. mariae grow faster and larger than females and the maximum ages of fish from the coastal river and impoundment was 9+ and 4+ years, respectively. Past fish surveys and the absence of older age classes in the impoundment population would suggest that this population was only very recently established.
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Affiliation(s)
- D J Russell
- Northern Fisheries Centre, Department of Agriculture, Fisheries and Forestry, P. O. Box 5396, Cairns, Qld, 4870, Australia.
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Russell DJ, Thuesen PA, Thomson FE. Reproductive strategies of two invasive tilapia species Oreochromis mossambicus and Tilapia mariae in northern Australia. J Fish Biol 2012; 80:2176-2197. [PMID: 22551176 DOI: 10.1111/j.1095-8649.2012.03267.x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
The reproductive biology of two invasive tilapia species, Oreochromis mossambicus and Tilapia mariae, resident in freshwater habitats in north-eastern Australia was investigated. Oreochromis mossambicus exhibited plasticity in some of its life-history characteristics that enhanced its ability to occupy a range of habitats. These included a shallow, weed-choked, freshwater coastal drain that was subject to temperature and dissolved oxygen extremes and water-level fluctuations to cooler, relatively high-altitude impoundments. Adaptations to harsher conditions included a decreased total length (L(T) ) and age (A) at 50% maturity (m50), short somatic growth intervals, early maturation and higher relative fecundities. Potential fecundity in both species was relatively low, but parental care ensured high survival rates of both eggs and larvae. No significant difference in the relative fecundity of T. mariae populations in a large impoundment and a coastal river was found, but there were significant differences in relative fecundities between several of the O. mossambicus populations sampled. Total length (L(T) ) and age at 50% maturity of O. mossambicus populations varied considerably depending on habitat. The L(Tm50) and A(m50) values for male and female O. mossambicus in a large impoundment were considerably greater than for those resident in a small coastal drain. Monthly gonad developmental stages and gonado-somatic indices suggested that in coastal areas, spawning of O. mossambicus and T. mariae occurred throughout most of the year while in cooler, high-altitude impoundments, spawning peaked in the warmer, summer months. The contribution these reproductive characteristics make to the success of both species as colonizers is discussed in the context of future control and management options for tilapia incursions in Australia.
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Affiliation(s)
- D J Russell
- Northern Fisheries Centre, Queensland Department of Employment, Economic Development and Innovation, PO Box 5396, Cairns, Qld 4870, Australia
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Thuesen PA, Ebner BC, Larson H, Keith P, Silcock RM, Prince J, Russell DJ. Amphidromy links a newly documented fish community of continental Australian streams, to oceanic islands of the west Pacific. PLoS One 2011; 6:e26685. [PMID: 22039530 PMCID: PMC3198781 DOI: 10.1371/journal.pone.0026685] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2011] [Accepted: 10/02/2011] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Indo-Pacific high island streams experience extreme hydrological variation, and are characterised by freshwater fish species with an amphidromous life history. Amphidromy is a likely adaptation for colonisation of island streams following stochastic events that lead to local extirpation. In the Wet Tropics of north-eastern Australia, steep coastal mountain streams share similar physical characteristics to island systems. These streams are poorly surveyed, but may provide suitable habitat for amphidromous species. However, due to their ephemeral nature, common non-diadromous freshwater species of continental Australia are unlikely to persist. Consequently, we hypothesise that coastal Wet Tropics streams are faunally more similar, to distant Pacific island communities, than to nearby faunas of large continental rivers. METHODS/PRINCIPAL FINDINGS Surveys of coastal Wet Tropics streams recorded 26 species, 10 of which are first records for Australia, with three species undescribed. This fish community is unique in an Australian context in that it contains mostly amphidromous species, including sicydiine gobies of the genera Sicyopterus, Sicyopus, Smilosicyopus and Stiphodon. Species presence/absence data of coastal Wet Tropics streams were compared to both Wet Tropics river networks and Pacific island faunas. ANOSIM indicated the fish fauna of north-eastern Australian coastal streams were more similar to distant Pacific islands (R = 0.76), than to nearby continental rivers (R = 0.98). MAIN CONCLUSIONS/SIGNIFICANCE Coastal Wet Tropics streams are faunally more similar to distant Pacific islands (79% of species shared), than to nearby continental fauna due to two factors. First, coastal Wet Tropics streams lack many non-diadromous freshwater fish which are common in nearby large rivers. Second, many amphidromous species found in coastal Wet Tropics streams and Indo-Pacific islands remain absent from large rivers of the Wet Tropics. The evolutionary and conservation significance of this newly discovered Australian fauna requires clarification in the context of the wider amphidromous fish community of the Pacific.
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Affiliation(s)
- Paul A Thuesen
- School of Marine and Tropical Biology, James Cook University, Cairns, Queensland, Australia.
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Affiliation(s)
- Karin Hohberg
- Senckenberg Museum of Natural History Görlitz, Görlitz, Germany
| | | | - Michael Elmer
- Brandenburg University of Technology, Cottbus, Germany
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Russell DJ, Way SF, Benson AK, Sayood K. A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences. BMC Bioinformatics 2010; 11:601. [PMID: 21167044 PMCID: PMC3022630 DOI: 10.1186/1471-2105-11-601] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2010] [Accepted: 12/17/2010] [Indexed: 11/16/2022] Open
Abstract
Background We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. The proposed clustering algorithm uses a grammar-based distance metric to determine partitioning for a set of biological sequences. The algorithm performs clustering in which new sequences are compared with cluster-representative sequences to determine membership. If comparison fails to identify a suitable cluster, a new cluster is created. Results The performance of the proposed algorithm is validated via comparison to the popular DNA/RNA sequence clustering approach, CD-HIT-EST, and to the recently developed algorithm, UCLUST, using two different sets of 16S rDNA sequences from 2,255 genera. The proposed algorithm maintains a comparable CPU execution time with that of CD-HIT-EST which is much slower than UCLUST, and has successfully generated clusters with higher statistical accuracy than both CD-HIT-EST and UCLUST. The validation results are especially striking for large datasets. Conclusions We introduce a fast and accurate clustering algorithm that relies on a grammar-based sequence distance. Its statistical clustering quality is validated by clustering large datasets containing 16S rDNA sequences.
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Affiliation(s)
- David J Russell
- Department of Electrical Engineering, University of Nebraska-Lincoln, 209N WSEC, Lincoln, NE 68588-0511, USA.
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Abstract
BACKGROUND We propose a multiple sequence alignment (MSA) algorithm and compare the alignment-quality and execution-time of the proposed algorithm with that of existing algorithms. The proposed progressive alignment algorithm uses a grammar-based distance metric to determine the order in which biological sequences are to be pairwise aligned. The progressive alignment occurs via pairwise aligning new sequences with an ensemble of the sequences previously aligned. RESULTS The performance of the proposed algorithm is validated via comparison to popular progressive multiple alignment approaches, ClustalW and T-Coffee, and to the more recently developed algorithms MAFFT, MUSCLE, Kalign, and PSAlign using the BAliBASE 3.0 database of amino acid alignment files and a set of longer sequences generated by Rose software. The proposed algorithm has successfully built multiple alignments comparable to other programs with significant improvements in running time. The results are especially striking for large datasets. CONCLUSION We introduce a computationally efficient progressive alignment algorithm using a grammar based sequence distance particularly useful in aligning large datasets.
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Affiliation(s)
- David J Russell
- Department of Electrical Engineering, University of Nebraska-Lincoln, 209N WSEC, Lincoln, NE 68588-0511, USA.
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Vvedenskaya IO, Rosen RT, Guido JE, Russell DJ, Mills KA, Vorsa N. Characterization of flavonols in cranberry (Vaccinium macrocarpon) powder. J Agric Food Chem 2004; 52:188-195. [PMID: 14733493 DOI: 10.1021/jf034970s] [Citation(s) in RCA: 116] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Flavonoids were extracted from cranberry powder with acetone and ethyl acetate and subsequently fractionated with Sephadex LH-20 column chromatography. The fraction eluted with a 60% methanol solution was composed primarily of phenolic constituents with maximum absorbance at 340 nm. A high-performance liquid chromatography procedure was developed, which resolved 22 distinct peaks with UV/vis and mass spectra corresponding to flavonol glycoside conjugates. Six new constituents not previously reported in cranberry or in cranberry products were determined through NMR spectroscopy to be myricetin-3-beta-xylopyranoside, quercetin-3-beta-glucoside, quercetin-3-alpha-arabinopyranoside, 3'-methoxyquercetin-3-alpha-xylopyranoside, quercetin-3-O-(6' '-p-coumaroyl)-beta-galactoside, and quercetin-3-O-(6' '-benzoyl)-beta-galactoside. Quercetin-3-O-(6' '-p-coumaroyl)-beta-galactoside and quercetin-3-O-(6' '-benzoyl)-beta-galactoside represent a new class of cranberry flavonol compounds with three conjugated components consisting of a flavonol, sugar, and carboxylic acid (benzoic or hydroxycinnamic acids). This is also the first report identifying quercetin-3-arabinoside in both furanose and pyranose forms in cranberry. Elucidation of specific flavonol glycosides in cranberry is significant since the specificity of the sugar moiety may play a role in the bioavailability of the flavonol glycosides in vivo.
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Affiliation(s)
- Irina O Vvedenskaya
- Department of Plant Biology and Pathology, Rutgers University, New Brunswick, New Jersey 08901, USA
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Abstract
AIMS To report the nutrient composition of pastures fed to spring-calving dairy cows in the Manawatu region of New Zealand, and describe changes in the nutrient composition of these pastures over a 12-month period. Having done this we sought to: (1) compare the nutrient composition of the pasture offered with the nutrient requirements of spring-calving dairy cows; (2) identify periods when individual nutrient surpluses and deficits are likely; and, (3) identify nutrients that demonstrate a high level of variability between sampling occasions. METHODS Seven farms took part in the study. Each farm was visited monthly from August 1996 to July 1997. Samples of pasture were taken at each visit and submitted for estimation of dry matter (DM), metabolisable energy (ME), crude protein (CP), non-structural carbohydrate (NSC), neutral detergent fibre (NDF), acid detergent fibre (ADF), calcium (Ca), phosphorus (P), magnesium (Mg), sodium (Na), potassium (K), chlorine (Cl), sulphur (S), iron (Fe), copper (Cu) and zinc (Zn), and dietary cation-anion differences (DCAD). RESULTS Sampled pastures were characterised by low to marginal ME, NSC, Ca, Mg, and Zn concentrations when compared with recommended dietary nutrient concentrations for lactating and non-lactating dairy cattle in New Zealand. Analyses revealed relatively high CP, NDF and K concentrations, and DCAD. CONCLUSIONS These analyses identify broad trends in the nutrient balance of a pasture-only feeding regime and provide a useful reference for planning feed strategies for spring-calving, pasture-fed dairy herds in this region. Recommended changes to on-farm practice should be made after considering the whole farm system, rather than being made solely on the basis of perceived deficiencies or excesses of individual nutrients.
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Affiliation(s)
- M A Stevenson
- Institute of Veterinary Animal and Biomedical Sciences, Massey University, Private Bag 11222, Palmerston North, New Zealand
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Martin GE, Hadden CE, Russell DJ, Kaluzny BD, Guido JE, Duholke WK, Stiemsma BA, Thamann TJ, Crouch RC, Blinov K, Elyashberg M, Martirosian ER, Molodtsov SG, Williams AJ, Schiff PL. Identification of degradants of a complex alkaloid using NMR cryoprobe technology and ACD/structure elucidator. J Heterocycl Chem 2002. [DOI: 10.1002/jhet.5570390619] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Aberhart DJ, Russell DJ. Steric course of N5,N10-methylenetetrahydrofolate formation from glycine by the glycine cleavage system in E. coli. J Am Chem Soc 2002. [DOI: 10.1021/ja00329a046] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Han I, Russell DJ, Kohn H. Studies on the mechanism of mitomycin C(1) electrophilic transformations: structure-reactivity relationships. J Org Chem 2002. [DOI: 10.1021/jo00032a037] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Palisano RJ, Walter SD, Russell DJ, Rosenbaum PL, Gémus M, Galuppi BE, Cunningham L. Gross motor function of children with down syndrome: creation of motor growth curves. Arch Phys Med Rehabil 2001; 82:494-500. [PMID: 11295010 DOI: 10.1053/apmr.2001.21956] [Citation(s) in RCA: 126] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To create gross motor function growth curves for children with Down syndrome (DS) and to estimate the probability that motor functions are achieved by different ages. DESIGN Nonlinear growth curve analysis by using a 2-parameter (rate, upper limit) model. SETTING Early intervention programs, schools, and children's homes. PARTICIPANTS One hundred twenty-one children with DS, ages 1 month to 6 years. MAIN OUTCOME MEASURES Gross Motor Function Measure (GMFM) and severity of motor impairment. RESULTS The curves for children with mild (n = 51) and moderate/severe (n = 70) impairment were characterized by a greater increase in GMFM scores during infancy and smaller increases as the children approached the predicted maximum score of 85.9 or 87.9. The estimated probability that a child would roll by 6 months was 51%; sit by 12 months, 78%; crawl by 18 months, 34%; walk by 24 months, 40%; and run, walk up stairs, and jump by 5 years, 45% to 52%. CONCLUSIONS Children with DS require more time to learn movements as movement complexity increases. Impairment severity affected the rate but not the upper limit of motor function. The results have implications for counseling parents, making decisions about motor interventions, and anticipating the time frame for achievement of motor functions.
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Affiliation(s)
- R J Palisano
- Department of Rehabilitation Sciences, MCP Hahnemann University, Philadelphia, PA 19102-1192, USA.
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Palisano RJ, Hanna SE, Rosenbaum PL, Russell DJ, Walter SD, Wood EP, Raina PS, Galuppi BE. Validation of a model of gross motor function for children with cerebral palsy. Phys Ther 2000; 80:974-85. [PMID: 11002433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
BACKGROUND AND PURPOSE Development of gross motor function in children with cerebral palsy (CP) has not been documented. The purposes of this study were to examine a model of gross motor function in children with CP and to apply the model to construct gross motor function curves for each of the 5 levels of the Gross Motor Function Classification System (GMFCS). SUBJECTS A stratified sample of 586 children with CP, 1 to 12 years of age, who reside in Ontario, Canada, and are known to rehabilitation centers participated. METHODS Subjects were classified using the GMFCS, and gross motor function was measured with the Gross Motor Function Measure (GMFM). Four models were examined to construct curves that described the nonlinear relationship between age and gross motor function. RESULTS The model in which both the limit parameter (maximum GMFM score) and the rate parameter (rate at which the maximum GMFM score is approached) vary for each GMFCS level explained 83% of the variation in GMFM scores. The predicted maximum GMFM scores differed among the 5 curves (level I=96.8, level II=89.3, level III=61.3, level IV=36.1, and level V=12.9). The rate at which children at level II approached their maximum GMFM score was slower than the rates for levels I and III. The correlation between GMFCS levels and GMFM scores was (.91. Logistic regression, used to estimate the probability that children with CP are able to achieve gross motor milestones based on their GMFM total scores, suggests that distinctions between GMFCS levels are clinically meaningful. CONCLUSION AND DISCUSSION Classification of children with CP based on functional abilities and limitations is predictive of gross motor function, whereas age alone is a poor predictor. Evaluation of gross motor function of children with CP by comparison with children of the same age and GMFCS level has implications for decision making and interpretation of intervention outcomes.
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Affiliation(s)
- R J Palisano
- Department of Rehabilitation Sciences, MCP Hahnemann University, Mail Stop 502, 245 N 15th St, Philadelphia, PA 19102-1192, USA.
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Krishnamurthy VV, Russell DJ, Hadden CE, Martin GE. 2J,(3)J-HMBC: A new long-range heteronuclear shift correlation technique capable of differentiating (2)J(CH) from (3)J(CH) correlations to protonated carbons. J Magn Reson 2000; 146:232-239. [PMID: 10968978 DOI: 10.1006/jmre.2000.2141] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The development of a series of new, accordion-optimized long-range heteronuclear shift correlation techniques has been reported. A further derivative of the constant time variable delay introduced in the IMPEACH-MBC experiment, a STAR (Selectively Tailored Accordion F(1) Refocusing) operator is described in the present report. Incorporation of the STAR operator with the capability of user-selected homonuclear modulation scaling as in the CIGAR-HMBC experiment, into a long-range heteronuclear shift correlation pulse sequence, (2)J,(3)J-HMBC, affords for the first time in a proton-detected experiment the means of unequivocally differentiating two-bond ((2)J(CH)) from three-bond ((3)J(CH)) long-range correlations to protonated carbons. Copyright 2000 Academic Press.
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Affiliation(s)
- VV Krishnamurthy
- NMR Applications Laboratory, Varian, Inc., Palo Alto, California, 94303, USA
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Russell DJ, Hadden CE, Martin GE, Gibson AA, Zens AP, Carolan JL. A comparison of inverse-detected heteronuclear NMR performance: conventional vs cryogenic microprobe performance. J Nat Prod 2000; 63:1047-1049. [PMID: 10978194 DOI: 10.1021/np0003140] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
We report a comparison of the results obtained at 500 MHz for heteronuclear shift correlation (HSQC) experiments with very small natural product samples using conventional and cryogenically cooled 3 mm NMR probes. The cryo probe affords a 12- to 16-fold reduction in data acquisition time for a comparable signal-to-noise ratio.
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Affiliation(s)
- D J Russell
- Rapid Structure Characterization Group, Pharmaceutical Development, Pharmacia Corporation, Kalamazoo, Michigan 49001-0199, USA
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Gilson GJ, Russell DJ, Izquierdo LA, Qualls CR, Curet LB. A prospective randomized evaluation of a hygroscopic cervical dilator, Dilapan, in the preinduction ripening of patients undergoing induction of labor. Am J Obstet Gynecol 1996; 175:145-9. [PMID: 8694040 DOI: 10.1016/s0002-9378(96)70264-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
OBJECTIVE Our purpose was to investigate the safety and efficacy of a synthetic intracervical hygroscopic dilator, Dilapan (Gynotech, Inc., Middlesex, N.J.), on ripening the cervix before medically indicated induction of labor. STUDY DESIGN Two hundred forty patients with a Bishop score of < or = 4 were prospectively randomized to receive either preinduction synthetic hygroscopic dilators (n = 112) or no pretreatment (n = 128) before oxytocin induction. RESULTS Compared with controls, the dilator group exhibited a significant change in median Bishop score, but there was no significant difference in length of labor (dilator 18.8 +/- 12.8 hours vs control 21.7 +/- 14.8 hours) or in the cesarean section rate (dilator 41/112 [36.6%] vs control 49/128 [38.3%]). Relative proportions of nulliparous and multiparous patients, infant weights, and cervical dilation at the time of cesarean section were not significantly different between groups. No adverse maternal or fetal effects could be attributed to use of the device. CONCLUSIONS Preinduction cervical ripening with hygroscopic dilators does not shorten the length of labor or lower the cesarean section rate in patients undergoing induction of labor.
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Affiliation(s)
- G J Gilson
- Department of Obstetrics and Gynecology, University of New Mexico Health Sciences Center, Albuquerque, USA
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Abstract
When a pelvic mass is encountered in a female patient, there are several tools available to the physician as diagnostic aids. The patient's age, history, and physical examination; diagnostic imaging studies; and laboratory tests can contribute valuable information to the diagnosis and management of the case. It is essential for today's physician to become familiar with these tools and to be able to direct management appropriately.
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Affiliation(s)
- D J Russell
- Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Boyce WF, Gowland C, Rosenbaum PL, Lane M, Plews N, Goldsmith CH, Russell DJ, Wright V, Potter S, Harding D. The Gross Motor Performance Measure: validity and responsiveness of a measure of quality of movement. Phys Ther 1995; 75:603-13. [PMID: 7604079 DOI: 10.1093/ptj/75.7.603] [Citation(s) in RCA: 62] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND AND PURPOSE This article presents the results of a study to validate a measure of gross motor performance for its capacity to detect changes in the quality of movement in children with cerebral palsy aged 0 to 12 years. SUBJECTS AND METHODS On two occasions, 4 to 6 months apart, physical therapists from three children's treatment centers assessed 106 children with cerebral palsy, 18 children who had sustained an acute head injury, and 29 nondisabled children. Validity was demonstrated by comparing changes on the measure across diagnoses, severity, and age groups. RESULTS Several a priori hypotheses were supported; however, relationships with parent and therapist ratings were not clearly demonstrated. CONCLUSION AND DISCUSSION The measure was found to be differentially responsive to changes in "stable" and "responsive" groups.
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Affiliation(s)
- W F Boyce
- School of Rehabilitation Therapy, Queen's University, Kingston, Ontario, Canada
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Abstract
BACKGROUND AND PURPOSE The reporting of reliability coefficients and the method of their determination is expected of test developers. The purpose of this study was to estimate the interrater, intrarater, and test-retest reliability of the Gross Motor Performance Measure, a measure of quality of movement designed to accompany the Gross Motor Function Measure. SUBJECTS Subjects were 28 children (25 with cerebral palsy, 2 nondisabled, 1 with head injury) between the ages of 1 and 10 years. METHODS Reliability data were obtained from assessments of 19 therapists. RESULTS Intraclass correlation coefficients for reliability varied from .92 to .96 for the total scores and from .84 to .94 for the five attribute scores. CONCLUSION AND DISCUSSION When the Gross Motor Performance Measure was administered by therapists who are familiar with the Gross Motor Function Measure and had a 1-day training workshop, reliability of the total scores was above recommended minimums. Scores of single attributes were less reproducible.
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Affiliation(s)
- C Gowland
- School of Occupational Therapy and Physiotherapy, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
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Russell DJ, Rosenbaum PL, Lane M, Gowland C, Goldsmith CH, Boyce WF, Plews N. Training users in the gross motor function measure: methodological and practical issues. Phys Ther 1994; 74:630-6. [PMID: 8016195 DOI: 10.1093/ptj/74.7.630] [Citation(s) in RCA: 28] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND PURPOSE The Gross Motor Function Measure (GMFM) is a criterion-referenced observational measure for assessing change in gross motor function for children with cerebral palsy (CP). The purposes of this report are to present data on the effects of training pediatric developmental therapists to administer and score the GMFM and to discuss some practical and methodological issues associated with training. SUBJECTS AND METHODS A weighted kappa estimate pretraining and posttraining workshop was used to determine participants' agreement of scoring a videotaped GMFM assessment against experts' scoring of the same videotaped assessment. Several children with CP, representing a spectrum of ages, severities, and levels of function, were shown on the videotape. RESULTS There was a significant improvement in agreement from a mean kappa of .58 to .82 (t = 15.38, df = 75, P < .001) for the first group and from .81 to .92 (t = 10.91, df = 72, P < .001) for the second group following training. CONCLUSION AND DISCUSSION Although there are a number of advantages to using videotapes to train test users and to assess scoring reliability, this method does not evaluate participants' ability to administer the measure. Further work is needed to determine whether reliability is maintained in a clinical situation in which it is necessary to both administer and score the GMFM.
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Affiliation(s)
- D J Russell
- Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
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Abstract
The origin of human adenovirus type 4 (Ad4), an important pathogen and candidate vaccine vector, has been the subject of speculation. Ad4 is unusual among adenoviruses, because it is the single known serotype of subgroup E. Some biological and biochemical properties of Ad4 resemble those of serotypes from subgroups B and C. The length of Ad4 fiber is intermediate between that of subgroup B and C fibers. We sequenced the Ad4 fiber gene, locus of the determinant(s) of adenovirus serotype. The number of repeating DNA sequence motifs in the shaft domain of the Ad4 fiber gene is consistent with its reported length. Regional phylogenetic analysis of Ad4 was undertaken, comparing DNA sequences of early genes and fiber genes from representative adenoviruses. The Ad4 fiber gene has close phylogenetic relationship to subgroup C fiber genes. This is in distinct contrast to the closer relationship of Ad4 to subgroup B adenoviruses in early gene sequences, distributed across the left 70% of the viral genome. We propose that Ad4 originated by recombination of genomes resembling contemporary subgroup B and subgroup C adenoviruses. This event may have occurred so recently that divergence of subgroup E serological determinants has yet to be observed.
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Affiliation(s)
- W C Gruber
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232-2363
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