Loading…
Automated image analysis of Euglena gracilis Klebs (Euglenophyta) for measuring sublethal effects of three model contaminants
The short-term impacts of atrazine (herbicide), tributyltin (organometal) and copper on the behaviour of Euglena gracilis Klebs (Euglenophyta) were assessed. First, the ECOTOX automated image analysis system was used, which measured swimming velocity, cell shape, percentage of cells swimming upwards...
Saved in:
Published in: | Water science and technology 2012-01, Vol.66 (8), p.1708-1715 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | 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-c352t-6e3d45d64d8518648642491a5be8215145765687c3f81539fc46088dffd4813e3 |
---|---|
cites | |
container_end_page | 1715 |
container_issue | 8 |
container_start_page | 1708 |
container_title | Water science and technology |
container_volume | 66 |
creator | Netto, I Bostan, V McCarthy, L Laursen, A Gilbride, K Mehrvar, M Pushchak, R |
description | The short-term impacts of atrazine (herbicide), tributyltin (organometal) and copper on the behaviour of Euglena gracilis Klebs (Euglenophyta) were assessed. First, the ECOTOX automated image analysis system was used, which measured swimming velocity, cell shape, percentage of cells swimming upwards, and randomness of swimming. Next, visual observation by microscopy was used to measure percentage of cell motility and cell shape. Behavioural changes can be used as an indicator of stress in less than 24 h, potentially making them suitable for inclusion in early-warning systems for water quality. Findings indicate that E. gracilis is a very sensitive organism to copper, showing inhibition of motility with visual observation at 0.8 μmol/L within 1 h. The image analysis system was in general less sensitive than visual observation for detecting behavioural changes after incubation in copper. In contrast, after exposure to organic contaminants atrazine and tributyltin, the ECOTOX system detected small changes in the number of cells swimming upwards (antigravitactic behaviour) at higher concentrations. |
doi_str_mv | 10.2166/wst.2012.387 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1434030827</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1034659340</sourcerecordid><originalsourceid>FETCH-LOGICAL-c352t-6e3d45d64d8518648642491a5be8215145765687c3f81539fc46088dffd4813e3</originalsourceid><addsrcrecordid>eNqFkUtrGzEUhUVoSRwnu6yDoJsEOo7e0ixDSB_U0E27HuSZK3uCZuRKGoIX-e-VYyeLbgoXLhw-zuJ8CF1RsmBUqbvnlBeMULbgRp-gGa1rVdWasw9oRpjmFWWMn6HzlJ4IIZoLcorOGKuJFlLO0Mv9lMNgM3S4H-wasB2t36U-4eDw47T2MFq8jrbtfcl-eFglfHPIw3azy_YWuxDxADZNsR_XOE0rD3ljPQbnoM2vRXkTAfAQOvC4DWO2Qz_aMacL9NFZn-Dy-Ofo95fHXw_fquXPr98f7pdVyyXLlQLeCdkp0RlJjRLlmKiplSswjEoqpFZSGd1yZ6jktWuFIsZ0znXCUA58jm4OvdsY_kyQcjP0qQXv7QhhSg0VZRdOTNnrvyjhQsl6z8_Rp3_QpzDFsl-hasG1loKaQn0-UG0MKUVwzTaWqeOuVDV7g00x2OwNNsVgwa-PpdNqgO4dflPG_wKQipYd</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1943775418</pqid></control><display><type>article</type><title>Automated image analysis of Euglena gracilis Klebs (Euglenophyta) for measuring sublethal effects of three model contaminants</title><source>Alma/SFX Local Collection</source><creator>Netto, I ; Bostan, V ; McCarthy, L ; Laursen, A ; Gilbride, K ; Mehrvar, M ; Pushchak, R</creator><creatorcontrib>Netto, I ; Bostan, V ; McCarthy, L ; Laursen, A ; Gilbride, K ; Mehrvar, M ; Pushchak, R</creatorcontrib><description>The short-term impacts of atrazine (herbicide), tributyltin (organometal) and copper on the behaviour of Euglena gracilis Klebs (Euglenophyta) were assessed. First, the ECOTOX automated image analysis system was used, which measured swimming velocity, cell shape, percentage of cells swimming upwards, and randomness of swimming. Next, visual observation by microscopy was used to measure percentage of cell motility and cell shape. Behavioural changes can be used as an indicator of stress in less than 24 h, potentially making them suitable for inclusion in early-warning systems for water quality. Findings indicate that E. gracilis is a very sensitive organism to copper, showing inhibition of motility with visual observation at 0.8 μmol/L within 1 h. The image analysis system was in general less sensitive than visual observation for detecting behavioural changes after incubation in copper. In contrast, after exposure to organic contaminants atrazine and tributyltin, the ECOTOX system detected small changes in the number of cells swimming upwards (antigravitactic behaviour) at higher concentrations.</description><identifier>ISSN: 0273-1223</identifier><identifier>EISSN: 1996-9732</identifier><identifier>DOI: 10.2166/wst.2012.387</identifier><identifier>PMID: 22907455</identifier><language>eng</language><publisher>England: IWA Publishing</publisher><subject>Atrazine ; Atrazine - toxicity ; Automation ; Cell size ; Cells ; Change detection ; Contaminants ; Copper ; Copper - toxicity ; Early warning systems ; Euglena ; Euglena gracilis ; Euglena gracilis - drug effects ; Herbicides ; Herbicides - toxicity ; Image analysis ; Image processing ; Incubation period ; Microscopy ; Motility ; Organic contaminants ; Shape ; Sublethal effects ; Swimming ; Swimming behavior ; Trialkyltin Compounds - toxicity ; Tributyltin ; Visual observation ; Warning systems ; Water Pollutants, Chemical - toxicity ; Water quality</subject><ispartof>Water science and technology, 2012-01, Vol.66 (8), p.1708-1715</ispartof><rights>Copyright IWA Publishing Aug 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-6e3d45d64d8518648642491a5be8215145765687c3f81539fc46088dffd4813e3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22907455$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Netto, I</creatorcontrib><creatorcontrib>Bostan, V</creatorcontrib><creatorcontrib>McCarthy, L</creatorcontrib><creatorcontrib>Laursen, A</creatorcontrib><creatorcontrib>Gilbride, K</creatorcontrib><creatorcontrib>Mehrvar, M</creatorcontrib><creatorcontrib>Pushchak, R</creatorcontrib><title>Automated image analysis of Euglena gracilis Klebs (Euglenophyta) for measuring sublethal effects of three model contaminants</title><title>Water science and technology</title><addtitle>Water Sci Technol</addtitle><description>The short-term impacts of atrazine (herbicide), tributyltin (organometal) and copper on the behaviour of Euglena gracilis Klebs (Euglenophyta) were assessed. First, the ECOTOX automated image analysis system was used, which measured swimming velocity, cell shape, percentage of cells swimming upwards, and randomness of swimming. Next, visual observation by microscopy was used to measure percentage of cell motility and cell shape. Behavioural changes can be used as an indicator of stress in less than 24 h, potentially making them suitable for inclusion in early-warning systems for water quality. Findings indicate that E. gracilis is a very sensitive organism to copper, showing inhibition of motility with visual observation at 0.8 μmol/L within 1 h. The image analysis system was in general less sensitive than visual observation for detecting behavioural changes after incubation in copper. In contrast, after exposure to organic contaminants atrazine and tributyltin, the ECOTOX system detected small changes in the number of cells swimming upwards (antigravitactic behaviour) at higher concentrations.</description><subject>Atrazine</subject><subject>Atrazine - toxicity</subject><subject>Automation</subject><subject>Cell size</subject><subject>Cells</subject><subject>Change detection</subject><subject>Contaminants</subject><subject>Copper</subject><subject>Copper - toxicity</subject><subject>Early warning systems</subject><subject>Euglena</subject><subject>Euglena gracilis</subject><subject>Euglena gracilis - drug effects</subject><subject>Herbicides</subject><subject>Herbicides - toxicity</subject><subject>Image analysis</subject><subject>Image processing</subject><subject>Incubation period</subject><subject>Microscopy</subject><subject>Motility</subject><subject>Organic contaminants</subject><subject>Shape</subject><subject>Sublethal effects</subject><subject>Swimming</subject><subject>Swimming behavior</subject><subject>Trialkyltin Compounds - toxicity</subject><subject>Tributyltin</subject><subject>Visual observation</subject><subject>Warning systems</subject><subject>Water Pollutants, Chemical - toxicity</subject><subject>Water quality</subject><issn>0273-1223</issn><issn>1996-9732</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkUtrGzEUhUVoSRwnu6yDoJsEOo7e0ixDSB_U0E27HuSZK3uCZuRKGoIX-e-VYyeLbgoXLhw-zuJ8CF1RsmBUqbvnlBeMULbgRp-gGa1rVdWasw9oRpjmFWWMn6HzlJ4IIZoLcorOGKuJFlLO0Mv9lMNgM3S4H-wasB2t36U-4eDw47T2MFq8jrbtfcl-eFglfHPIw3azy_YWuxDxADZNsR_XOE0rD3ljPQbnoM2vRXkTAfAQOvC4DWO2Qz_aMacL9NFZn-Dy-Ofo95fHXw_fquXPr98f7pdVyyXLlQLeCdkp0RlJjRLlmKiplSswjEoqpFZSGd1yZ6jktWuFIsZ0znXCUA58jm4OvdsY_kyQcjP0qQXv7QhhSg0VZRdOTNnrvyjhQsl6z8_Rp3_QpzDFsl-hasG1loKaQn0-UG0MKUVwzTaWqeOuVDV7g00x2OwNNsVgwa-PpdNqgO4dflPG_wKQipYd</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Netto, I</creator><creator>Bostan, V</creator><creator>McCarthy, L</creator><creator>Laursen, A</creator><creator>Gilbride, K</creator><creator>Mehrvar, M</creator><creator>Pushchak, R</creator><general>IWA Publishing</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7X8</scope><scope>7ST</scope><scope>7TV</scope><scope>M7N</scope><scope>SOI</scope></search><sort><creationdate>20120101</creationdate><title>Automated image analysis of Euglena gracilis Klebs (Euglenophyta) for measuring sublethal effects of three model contaminants</title><author>Netto, I ; Bostan, V ; McCarthy, L ; Laursen, A ; Gilbride, K ; Mehrvar, M ; Pushchak, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-6e3d45d64d8518648642491a5be8215145765687c3f81539fc46088dffd4813e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Atrazine</topic><topic>Atrazine - toxicity</topic><topic>Automation</topic><topic>Cell size</topic><topic>Cells</topic><topic>Change detection</topic><topic>Contaminants</topic><topic>Copper</topic><topic>Copper - toxicity</topic><topic>Early warning systems</topic><topic>Euglena</topic><topic>Euglena gracilis</topic><topic>Euglena gracilis - drug effects</topic><topic>Herbicides</topic><topic>Herbicides - toxicity</topic><topic>Image analysis</topic><topic>Image processing</topic><topic>Incubation period</topic><topic>Microscopy</topic><topic>Motility</topic><topic>Organic contaminants</topic><topic>Shape</topic><topic>Sublethal effects</topic><topic>Swimming</topic><topic>Swimming behavior</topic><topic>Trialkyltin Compounds - toxicity</topic><topic>Tributyltin</topic><topic>Visual observation</topic><topic>Warning systems</topic><topic>Water Pollutants, Chemical - toxicity</topic><topic>Water quality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Netto, I</creatorcontrib><creatorcontrib>Bostan, V</creatorcontrib><creatorcontrib>McCarthy, L</creatorcontrib><creatorcontrib>Laursen, A</creatorcontrib><creatorcontrib>Gilbride, K</creatorcontrib><creatorcontrib>Mehrvar, M</creatorcontrib><creatorcontrib>Pushchak, R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>ProQuest - Health & Medical Complete保健、医学与药学数据库</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>MEDLINE - Academic</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Environment Abstracts</collection><jtitle>Water science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Netto, I</au><au>Bostan, V</au><au>McCarthy, L</au><au>Laursen, A</au><au>Gilbride, K</au><au>Mehrvar, M</au><au>Pushchak, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automated image analysis of Euglena gracilis Klebs (Euglenophyta) for measuring sublethal effects of three model contaminants</atitle><jtitle>Water science and technology</jtitle><addtitle>Water Sci Technol</addtitle><date>2012-01-01</date><risdate>2012</risdate><volume>66</volume><issue>8</issue><spage>1708</spage><epage>1715</epage><pages>1708-1715</pages><issn>0273-1223</issn><eissn>1996-9732</eissn><abstract>The short-term impacts of atrazine (herbicide), tributyltin (organometal) and copper on the behaviour of Euglena gracilis Klebs (Euglenophyta) were assessed. First, the ECOTOX automated image analysis system was used, which measured swimming velocity, cell shape, percentage of cells swimming upwards, and randomness of swimming. Next, visual observation by microscopy was used to measure percentage of cell motility and cell shape. Behavioural changes can be used as an indicator of stress in less than 24 h, potentially making them suitable for inclusion in early-warning systems for water quality. Findings indicate that E. gracilis is a very sensitive organism to copper, showing inhibition of motility with visual observation at 0.8 μmol/L within 1 h. The image analysis system was in general less sensitive than visual observation for detecting behavioural changes after incubation in copper. In contrast, after exposure to organic contaminants atrazine and tributyltin, the ECOTOX system detected small changes in the number of cells swimming upwards (antigravitactic behaviour) at higher concentrations.</abstract><cop>England</cop><pub>IWA Publishing</pub><pmid>22907455</pmid><doi>10.2166/wst.2012.387</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0273-1223 |
ispartof | Water science and technology, 2012-01, Vol.66 (8), p.1708-1715 |
issn | 0273-1223 1996-9732 |
language | eng |
recordid | cdi_proquest_miscellaneous_1434030827 |
source | Alma/SFX Local Collection |
subjects | Atrazine Atrazine - toxicity Automation Cell size Cells Change detection Contaminants Copper Copper - toxicity Early warning systems Euglena Euglena gracilis Euglena gracilis - drug effects Herbicides Herbicides - toxicity Image analysis Image processing Incubation period Microscopy Motility Organic contaminants Shape Sublethal effects Swimming Swimming behavior Trialkyltin Compounds - toxicity Tributyltin Visual observation Warning systems Water Pollutants, Chemical - toxicity Water quality |
title | Automated image analysis of Euglena gracilis Klebs (Euglenophyta) for measuring sublethal effects of three model contaminants |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T09%3A07%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Automated%20image%20analysis%20of%20Euglena%20gracilis%20Klebs%20(Euglenophyta)%20for%20measuring%20sublethal%20effects%20of%20three%20model%20contaminants&rft.jtitle=Water%20science%20and%20technology&rft.au=Netto,%20I&rft.date=2012-01-01&rft.volume=66&rft.issue=8&rft.spage=1708&rft.epage=1715&rft.pages=1708-1715&rft.issn=0273-1223&rft.eissn=1996-9732&rft_id=info:doi/10.2166/wst.2012.387&rft_dat=%3Cproquest_cross%3E1034659340%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c352t-6e3d45d64d8518648642491a5be8215145765687c3f81539fc46088dffd4813e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1943775418&rft_id=info:pmid/22907455&rfr_iscdi=true |