Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Ecological indicators 2018-02, Vol.85, p.1092-1100
Main Authors: 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
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c390t-2b7825fd6669bddfd7cb9d21e2aad6aa0b14f9cac25cf8440c3d7b1d2d57c79a3
cites cdi_FETCH-LOGICAL-c390t-2b7825fd6669bddfd7cb9d21e2aad6aa0b14f9cac25cf8440c3d7b1d2d57c79a3
container_end_page 1100
container_issue
container_start_page 1092
container_title Ecological indicators
container_volume 85
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
format article
fullrecord <record><control><sourceid>hal_cross</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_03505068v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1470160X17304776</els_id><sourcerecordid>oai_HAL_hal_03505068v1</sourcerecordid><originalsourceid>FETCH-LOGICAL-c390t-2b7825fd6669bddfd7cb9d21e2aad6aa0b14f9cac25cf8440c3d7b1d2d57c79a3</originalsourceid><addsrcrecordid>eNqFkM1KAzEUhYMoWKuPIGTrYsYkM5PMrKQUtYVKFyp0FzL5sSnTZEhiwbc3pcWtcOFeLuc7cA4A9xiVGGH6uCu19IN1qiQIsxLlodUFmOCWkYKhqr7Md81QgSnaXIObGHcoc11HJ2CzdEkHKQbbB5Gsd9AbKP23S9Z9wb1OW68iND7AdUxB-zHaCOM4lrAfvN9HaB1MWw3ftLLZKAinhYPvWtyCKyOGqO_Oewo-X54_5otitX5dzmerQlYdSgXpWUsaoyilXa-UUUz2nSJYEyEUFQL1uDadFJI00rR1jWSlWI8VUQ2TrBPVFDycfLdi4GOwexF-uBeWL2YrfvyhqkENou0BZ21z0srgYwza_AEY8WOVfMfPVfJjlRzloVXmnk6czkEOVgcepdVO5sxBy8SVt_84_AK5Y4FV</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Intercalibration of counting methods for Ostreopsis spp. blooms in the Mediterranean Sea</title><source>ScienceDirect Freedom Collection 2022-2024</source><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</creator><creatorcontrib>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</creatorcontrib><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><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>
fulltext fulltext
identifier ISSN: 1470-160X
ispartof Ecological indicators, 2018-02, Vol.85, p.1092-1100
issn 1470-160X
1872-7034
language eng
recordid cdi_hal_primary_oai_HAL_hal_03505068v1
source ScienceDirect Freedom Collection 2022-2024
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T10%3A58%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-hal_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Intercalibration%20of%20counting%20methods%20for%20Ostreopsis%20spp.%20blooms%20in%20the%20Mediterranean%20Sea&rft.jtitle=Ecological%20indicators&rft.au=Vassalli,%20Massimo&rft.date=2018-02-01&rft.volume=85&rft.spage=1092&rft.epage=1100&rft.pages=1092-1100&rft.issn=1470-160X&rft.eissn=1872-7034&rft_id=info:doi/10.1016/j.ecolind.2017.07.063&rft_dat=%3Chal_cross%3Eoai_HAL_hal_03505068v1%3C/hal_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c390t-2b7825fd6669bddfd7cb9d21e2aad6aa0b14f9cac25cf8440c3d7b1d2d57c79a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true