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Intercalibration of counting methods for Ostreopsis spp. blooms in the Mediterranean Sea
•Two automated methods were proposed for the counting of Ostreopsis ovata cells.•The automated methods were tested in 9 stations along the Mediterranean cost.•The results of the automated methods were compared with standard microscopy count.•Both automated methods showed good reliability of the coun...
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Published in: | Ecological indicators 2018-02, Vol.85, p.1092-1100 |
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creator | Vassalli, Massimo Penna, Antonella Sbrana, Francesca Casabianca, Silvia Gjeci, Nikolla Capellacci, Samuela Asnaghi, Valentina Ottaviani, Ennio Giussani, Valentina Pugliese, Laura Jauzein, Cécile Lemée, Rodolphe Hachani, Mohamed Amine Turki, Souad Açaf, Laury Saab, Marie Abboud-Abi Fricke, Anna Mangialajo, Luisa Bertolotto, Rosella Totti, Cecilia Accoroni, Stefano Berdalet, Elisa Vila, Magda Chiantore, Mariachiara |
description | •Two automated methods were proposed for the counting of Ostreopsis ovata cells.•The automated methods were tested in 9 stations along the Mediterranean cost.•The results of the automated methods were compared with standard microscopy count.•Both automated methods showed good reliability of the counting.
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. |
doi_str_mv | 10.1016/j.ecolind.2017.07.063 |
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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.</description><identifier>ISSN: 1470-160X</identifier><identifier>EISSN: 1872-7034</identifier><identifier>DOI: 10.1016/j.ecolind.2017.07.063</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Automatic identification ; Earth Sciences ; Harmful algae ; Mediterranean Sea ; Molecular recognition ; Monitoring ; Oceanography ; Optical Recognition ; Ostreopsis spp ; Sciences of the Universe</subject><ispartof>Ecological indicators, 2018-02, Vol.85, p.1092-1100</ispartof><rights>2017 Elsevier Ltd</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c390t-2b7825fd6669bddfd7cb9d21e2aad6aa0b14f9cac25cf8440c3d7b1d2d57c79a3</citedby><cites>FETCH-LOGICAL-c390t-2b7825fd6669bddfd7cb9d21e2aad6aa0b14f9cac25cf8440c3d7b1d2d57c79a3</cites><orcidid>0000-0003-1123-9706 ; 0000-0002-7800-2220 ; 0000-0002-3063-4376</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://hal.science/hal-03505068$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Vassalli, Massimo</creatorcontrib><creatorcontrib>Penna, Antonella</creatorcontrib><creatorcontrib>Sbrana, Francesca</creatorcontrib><creatorcontrib>Casabianca, Silvia</creatorcontrib><creatorcontrib>Gjeci, Nikolla</creatorcontrib><creatorcontrib>Capellacci, Samuela</creatorcontrib><creatorcontrib>Asnaghi, Valentina</creatorcontrib><creatorcontrib>Ottaviani, Ennio</creatorcontrib><creatorcontrib>Giussani, Valentina</creatorcontrib><creatorcontrib>Pugliese, Laura</creatorcontrib><creatorcontrib>Jauzein, Cécile</creatorcontrib><creatorcontrib>Lemée, Rodolphe</creatorcontrib><creatorcontrib>Hachani, Mohamed Amine</creatorcontrib><creatorcontrib>Turki, Souad</creatorcontrib><creatorcontrib>Açaf, Laury</creatorcontrib><creatorcontrib>Saab, Marie Abboud-Abi</creatorcontrib><creatorcontrib>Fricke, Anna</creatorcontrib><creatorcontrib>Mangialajo, Luisa</creatorcontrib><creatorcontrib>Bertolotto, Rosella</creatorcontrib><creatorcontrib>Totti, Cecilia</creatorcontrib><creatorcontrib>Accoroni, Stefano</creatorcontrib><creatorcontrib>Berdalet, Elisa</creatorcontrib><creatorcontrib>Vila, Magda</creatorcontrib><creatorcontrib>Chiantore, Mariachiara</creatorcontrib><title>Intercalibration of counting methods for Ostreopsis spp. blooms in the Mediterranean Sea</title><title>Ecological indicators</title><description>•Two automated methods were proposed for the counting of Ostreopsis ovata cells.•The automated methods were tested in 9 stations along the Mediterranean cost.•The results of the automated methods were compared with standard microscopy count.•Both automated methods showed good reliability of the counting.
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.</description><subject>Automatic identification</subject><subject>Earth Sciences</subject><subject>Harmful algae</subject><subject>Mediterranean Sea</subject><subject>Molecular recognition</subject><subject>Monitoring</subject><subject>Oceanography</subject><subject>Optical Recognition</subject><subject>Ostreopsis spp</subject><subject>Sciences of the Universe</subject><issn>1470-160X</issn><issn>1872-7034</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFkM1KAzEUhYMoWKuPIGTrYsYkM5PMrKQUtYVKFyp0FzL5sSnTZEhiwbc3pcWtcOFeLuc7cA4A9xiVGGH6uCu19IN1qiQIsxLlodUFmOCWkYKhqr7Md81QgSnaXIObGHcoc11HJ2CzdEkHKQbbB5Gsd9AbKP23S9Z9wb1OW68iND7AdUxB-zHaCOM4lrAfvN9HaB1MWw3ftLLZKAinhYPvWtyCKyOGqO_Oewo-X54_5otitX5dzmerQlYdSgXpWUsaoyilXa-UUUz2nSJYEyEUFQL1uDadFJI00rR1jWSlWI8VUQ2TrBPVFDycfLdi4GOwexF-uBeWL2YrfvyhqkENou0BZ21z0srgYwza_AEY8WOVfMfPVfJjlRzloVXmnk6czkEOVgcepdVO5sxBy8SVt_84_AK5Y4FV</recordid><startdate>20180201</startdate><enddate>20180201</enddate><creator>Vassalli, Massimo</creator><creator>Penna, Antonella</creator><creator>Sbrana, Francesca</creator><creator>Casabianca, Silvia</creator><creator>Gjeci, Nikolla</creator><creator>Capellacci, Samuela</creator><creator>Asnaghi, Valentina</creator><creator>Ottaviani, Ennio</creator><creator>Giussani, Valentina</creator><creator>Pugliese, Laura</creator><creator>Jauzein, Cécile</creator><creator>Lemée, Rodolphe</creator><creator>Hachani, Mohamed Amine</creator><creator>Turki, Souad</creator><creator>Açaf, Laury</creator><creator>Saab, Marie Abboud-Abi</creator><creator>Fricke, Anna</creator><creator>Mangialajo, Luisa</creator><creator>Bertolotto, Rosella</creator><creator>Totti, Cecilia</creator><creator>Accoroni, Stefano</creator><creator>Berdalet, Elisa</creator><creator>Vila, Magda</creator><creator>Chiantore, Mariachiara</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-1123-9706</orcidid><orcidid>https://orcid.org/0000-0002-7800-2220</orcidid><orcidid>https://orcid.org/0000-0002-3063-4376</orcidid></search><sort><creationdate>20180201</creationdate><title>Intercalibration of counting methods for Ostreopsis spp. blooms in the Mediterranean Sea</title><author>Vassalli, Massimo ; Penna, Antonella ; Sbrana, Francesca ; Casabianca, Silvia ; Gjeci, Nikolla ; Capellacci, Samuela ; Asnaghi, Valentina ; Ottaviani, Ennio ; Giussani, Valentina ; Pugliese, Laura ; Jauzein, Cécile ; Lemée, Rodolphe ; Hachani, Mohamed Amine ; Turki, Souad ; Açaf, Laury ; Saab, Marie Abboud-Abi ; Fricke, Anna ; Mangialajo, Luisa ; Bertolotto, Rosella ; Totti, Cecilia ; Accoroni, Stefano ; Berdalet, Elisa ; Vila, Magda ; Chiantore, Mariachiara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-2b7825fd6669bddfd7cb9d21e2aad6aa0b14f9cac25cf8440c3d7b1d2d57c79a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Automatic identification</topic><topic>Earth Sciences</topic><topic>Harmful algae</topic><topic>Mediterranean Sea</topic><topic>Molecular recognition</topic><topic>Monitoring</topic><topic>Oceanography</topic><topic>Optical Recognition</topic><topic>Ostreopsis spp</topic><topic>Sciences of the Universe</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vassalli, Massimo</creatorcontrib><creatorcontrib>Penna, Antonella</creatorcontrib><creatorcontrib>Sbrana, Francesca</creatorcontrib><creatorcontrib>Casabianca, Silvia</creatorcontrib><creatorcontrib>Gjeci, Nikolla</creatorcontrib><creatorcontrib>Capellacci, Samuela</creatorcontrib><creatorcontrib>Asnaghi, Valentina</creatorcontrib><creatorcontrib>Ottaviani, Ennio</creatorcontrib><creatorcontrib>Giussani, Valentina</creatorcontrib><creatorcontrib>Pugliese, Laura</creatorcontrib><creatorcontrib>Jauzein, Cécile</creatorcontrib><creatorcontrib>Lemée, Rodolphe</creatorcontrib><creatorcontrib>Hachani, Mohamed Amine</creatorcontrib><creatorcontrib>Turki, Souad</creatorcontrib><creatorcontrib>Açaf, Laury</creatorcontrib><creatorcontrib>Saab, Marie Abboud-Abi</creatorcontrib><creatorcontrib>Fricke, Anna</creatorcontrib><creatorcontrib>Mangialajo, Luisa</creatorcontrib><creatorcontrib>Bertolotto, Rosella</creatorcontrib><creatorcontrib>Totti, Cecilia</creatorcontrib><creatorcontrib>Accoroni, Stefano</creatorcontrib><creatorcontrib>Berdalet, Elisa</creatorcontrib><creatorcontrib>Vila, Magda</creatorcontrib><creatorcontrib>Chiantore, Mariachiara</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Ecological indicators</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vassalli, Massimo</au><au>Penna, Antonella</au><au>Sbrana, Francesca</au><au>Casabianca, Silvia</au><au>Gjeci, Nikolla</au><au>Capellacci, Samuela</au><au>Asnaghi, Valentina</au><au>Ottaviani, Ennio</au><au>Giussani, Valentina</au><au>Pugliese, Laura</au><au>Jauzein, Cécile</au><au>Lemée, Rodolphe</au><au>Hachani, Mohamed Amine</au><au>Turki, Souad</au><au>Açaf, Laury</au><au>Saab, Marie Abboud-Abi</au><au>Fricke, Anna</au><au>Mangialajo, Luisa</au><au>Bertolotto, Rosella</au><au>Totti, Cecilia</au><au>Accoroni, Stefano</au><au>Berdalet, Elisa</au><au>Vila, Magda</au><au>Chiantore, Mariachiara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intercalibration of counting methods for Ostreopsis spp. blooms in the Mediterranean Sea</atitle><jtitle>Ecological indicators</jtitle><date>2018-02-01</date><risdate>2018</risdate><volume>85</volume><spage>1092</spage><epage>1100</epage><pages>1092-1100</pages><issn>1470-160X</issn><eissn>1872-7034</eissn><abstract>•Two automated methods were proposed for the counting of Ostreopsis ovata cells.•The automated methods were tested in 9 stations along the Mediterranean cost.•The results of the automated methods were compared with standard microscopy count.•Both automated methods showed good reliability of the counting.
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.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.ecolind.2017.07.063</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1123-9706</orcidid><orcidid>https://orcid.org/0000-0002-7800-2220</orcidid><orcidid>https://orcid.org/0000-0002-3063-4376</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Automatic identification Earth Sciences Harmful algae Mediterranean Sea Molecular recognition Monitoring Oceanography Optical Recognition Ostreopsis spp Sciences of the Universe |
title | Intercalibration of counting methods for Ostreopsis spp. blooms in the Mediterranean Sea |
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