Intercalibration of counting methods for Ostreopsis spp. blooms in the Mediterranean Sea
| Autor: | Valentina Giussani, R. Bertolotto, Massimo Vassalli, Souad Turki, Rodolphe Lemée, Francesca Sbrana, Cécile Jauzein, Elisa Berdalet, Nikolla Gjeci, Cecilia Totti, Anna Fricke, Luisa Mangialajo, Magda Vila, Antonella Penna, Ennio Ottaviani, Valentina Asnaghi, Laury Açaf, Mariachiara Chiantore, Laura Pugliese, Mohamed Amine Hachani, Silvia Casabianca, Marie Abboud-Abi Saab, Samuela Capellacci, Stefano Accoroni |
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| Přispěvatelé: | European Commission, Ministerio de Economía y Competitividad (España), James Watt School of Engineering [Univ Glasgow], University of Glasgow, Università di Urbino, Department of Earth, Environmental and Life Sciences (DISTAV), Universita degli studi di Genova, OnAIR srl, Laboratoire d'océanographie de Villefranche (LOV), Observatoire océanologique de Villefranche-sur-mer (OOVM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences et Technologies de la Mer, Centre La Goulette, Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Istituto Nazionale di Geofisica e di Oceanografia Sperimentale (OGS), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Ecosystèmes Côtiers Marins et Réponses aux Stress (ECOMERS), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
OSTREOPSIS SPP Monitoring Automatic identification Harmful algae Mediterranean sea Molecular recognition Monitoring Optical Recognition Ostreopsis app General Decision Sciences Ostreopsis spp MOLECULAR RECOGNITION 010501 environmental sciences 01 natural sciences Ciencias Biológicas purl.org/becyt/ford/1 [https] Mediterranean sea Mediterranean Sea Harmful algae 14. Life underwater MONITORING Recognition algorithm purl.org/becyt/ford/1.6 [https] Ecology Evolution Behavior and Systematics [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography 0105 earth and related environmental sciences Remote sensing Ecology 010604 marine biology & hydrobiology MEDITERRANEAN SEA Automatic identification Harmful algae Mediterranean Sea Molecular recognition Monitoring Optical Recognition Ostreopsis spp Biología Marina Limnología OPTICAL RECOGNITION HARMFUL ALGAE Environmental science Molecular recognition Automatic identification Optical Recognition AUTOMATIC IDENTIFICATION CIENCIAS NATURALES Y EXACTAS Ostreopsis app |
| Zdroj: | CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET Digital.CSIC. Repositorio Institucional del CSIC instname Ecological Indicators Ecological Indicators, 2018, 85, pp.1092-1100. ⟨10.1016/j.ecolind.2017.07.063⟩ Ecological indicators 85 (2018): 1092–1100. doi:10.1016/j.ecolind.2017.07.063 info:cnr-pdr/source/autori:Vassalli M, Penna A, Sbrana F, Casabianca S, Gjeci N, Capellacci S, Asnaghi V, Ottaviani E, Giussani V, Pugliese L, Jauzein C, Lemee R, Hachani MA, Turki S, Acaf L, Saab MAA, Fricke A, Mangialajo L, Bertolotto R, Totti C, Accoroni S, Berdalet E, Vila M, Chiantore M/titolo:Intercalibration of counting methods for Ostreopsis spp. blooms in the Mediterranean Sea/doi:10.1016%2Fj.ecolind.2017.07.063/rivista:Ecological indicators/anno:2018/pagina_da:1092/pagina_a:1100/intervallo_pagine:1092–1100/volume:85 |
| ISSN: | 2014-5381 |
| Popis: | Vassalli, M. ... et al.-- 9 pages, 4 figures, 1 table This paper describes the adoption and validation of two innovative methods for the automated count of Ostreopsis spp. concentration in sea water: a molecular assay based on RT-qPCR and an opto-electronic device implementing automatic recognition algorithms. The proposed approaches were tested on samples coming from different locations along the Mediterranean Sea and compared with the standard counting method based on microscopy observation by a taxonomy expert. The results demonstrate the effectiveness of both automatic approaches which provide a valuable tool, mostly cost and time effective, for the establishment of wide pan-Mediterranean monitoring strategies of Ostreopsis spp. blooms. Moreover, the two automatic methods demonstrated the ability to discriminate for the presence of a different but similar species, O. fattorussoi, for which new species-specific qPCR primers were developed This publication has been produced with the financial assistance of the European Union under the ENPI CBC Mediterranean Sea Basin Programme. [...]. Magda Vila also acknowledges the support of the Spanish Government (MINECO) throught the project OstreoRisk (CTM2014-53818-R) |
| Databáze: | OpenAIRE |
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