{"datasetrec":{"DasID":6684,"Acronym":"NIS SE","StandardTitle":"GEANS NIS pilot - 2020 DNA-based benthic and planktonic species monitoring by SeAnalytics","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":null,"ContactEmail":"matthias.obst@seanalytics.se","VersionDate":null,"VersionDay":null,"VersionMonth":null,"VersionYear":null,"SizeReference":null,"EngAbstract":"The University of Gothenburg has, on behalf of the Swedish Agency for Marine and Water Management and in collaboration with SeAnalytics AB, carried out two pilot studies to investigate whether plankton samples and settling panels in combination with DNA-based species identification is an effective method for early detection and continuous monitoring of non-indigenous species (NIS). The surveys were conducted during the winter, spring and summer of 2020 at various locations along the Swedish west coast, from the fjord Brofjorden in the north to Helsingborg in the south. The sites were chosen based on previous modelling (Bergkvist et al. 2020a) of introduction hotspots for alien species.","EngDescr":"\nThe settling panel study followed the protocols for monitoring of hard bottom organisms as set up in the international ARMS (Autonomous Reef Monitoring Structures) project (Leray & Knowlton, 2015; Obst et al. 2020). A total of 16 ARMS settling panels were deployed during the winter and spring months and were submerged between 3–4 months before taken up for further processing and analysis. Plankton samples were taken from six of these sites, on three different occasions, and two samples from each site / each occasion. \nDNA was extracted from the settling panels and plankton and metabarcoding libraries prepared for three molecular markers (COI, 18S, ITS), together with positive and negative controls, altogether 284 libraries. Thirty-four NIS were recorded, of which fourteen are classified as invasive alien species (IAS) nationally and on the list of Invasive Alien Species of Union concern. The remaining 20 NIS are listed on the Aqua-NIS list and need to be further investigated for their alien and invasive status in the country. \nThe tested methods perform well both for early detection of unknown NIS as well as for regular monitoring of already known NIS. The chosen markers COI and 18S performed well, while ITS did not produce sufficient species observations and can be omitted as a marker gene.","OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":null,"ReleaseDate0":null,"OrigDescrLang":null,"EmbargoDate":"2023-06-29","OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":0,"DescrTransFlag":0,"Citation":"Sundberg P, Axberg A, Daragmeh N, Panova M, Obst M (2022) Genomics-based methods in environmental monitoring - Identification and detection of alien invasive species based on DNA. Report to the Swedish Agency for Marine and Water Management (SwAM / HaV). Report nr 2022:01. SeAnalytics AB.","AccessConstraints":null,"UDate":"2023-07-13","CDate":"2021-03-25","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-05-14 01:44:00.153333","timezone_type":1,"timezone":"+02:00"},"CheckedFlag":0,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":1,"FreshFlag":0,"BrackishFlag":1,"TerrestrialFlag":0,"StatusID":1,"DasType":"Data","DasTypeID":1,"DasOrigin":"Research: field survey","Progress":"Completed","AccessConstraint":"Attribution (CC BY)","AccConstrEN":"Attribution (CC BY)","AccConstrDisplay":"\"Creative This dataset is licensed under a Creative Commons Attribution 4.0 International License.","License":"https://creativecommons.org/licenses/by/4.0/","AccConstrDescription":"This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.","Lineage":null,"AccConID":21},"dois":null,"spcols":null,"keywords":[{"ThesaurusTerm":"Sweden","ThesTypID":34,"ThesType":"ASFA Geoterms","Code":null,"Description":null,"OrigThesTerm":"Sweden","DutchTerm":null,"URI":null,"DasKeywordDescr":null}],"parents":[{"DasID":6410,"Acronym":"GEANS Data","EngAbstract":"Sustainable use and management of marine resources is key for good ecosystem health. Monitoring for ecosystem health assessments is currently based on morphological species identification, which is time-consuming, labor-intensive and skills reliant. DNA-based tools promise cheaper, faster and more accurate methods, yet, different approaches between countries are used which hamper standard routine application. The Interreg NSR project GEANS, therefore aims to:\r\n\r\n1. Develop joint time- and cost-reducing genetic monitoring tools that feed into existing indicators to assess North Sea ecosystem health\r\n2. Implement standardized genetic tools and SOPs in routine biological assessments\r\n3. Develop a framework to apply and implement DNA-based tools in policy and transnational management of the North Sea Region.","License":null,"StandardTitle":"Genetic tools for Ecosystem health Assessment in the North Sea region","doi":null,"vlizDoi":null}],"children":null,"othrel":null,"othrelrev":null,"ownerships":[{"OrderNr":1,"Surname":"Sundberg","Firstname":"Per","Initials":"P.","PerPublicFlag":1,"AdrID":163298,"Email":"per.sundberg@seanalytics.se","InsPublicFlag":1,"Acronym":null,"OrigNameLangCode":null,"OrigNameLangID":null,"FullOrigName":null,"InsOwnerCNT":5,"PersID":38992,"InsID":14339,"FullInstitute":"SeAnalytics","RoleID":68,"Role":"Data provider","OrigName":null,"StandardName":"SeAnalytics","FullAcronym":null,"ORC":null,"ROR":null},{"OrderNr":2,"Surname":"Obst","Firstname":"Matthias","Initials":"M.","PerPublicFlag":1,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":null,"OrigNameLangCode":null,"OrigNameLangID":null,"FullOrigName":null,"InsOwnerCNT":5,"PersID":34431,"InsID":14339,"FullInstitute":"SeAnalytics","RoleID":null,"Role":null,"OrigName":null,"StandardName":"SeAnalytics","FullAcronym":null,"ORC":"https://orcid.org/0000-0003-0264-9631","ROR":null},{"OrderNr":2,"Surname":"Daraghmeh","Firstname":"Nauras","Initials":"N.","PerPublicFlag":1,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":null,"OrigNameLangCode":null,"OrigNameLangID":null,"FullOrigName":null,"InsOwnerCNT":5,"PersID":40973,"InsID":14339,"FullInstitute":"SeAnalytics","RoleID":null,"Role":null,"OrigName":null,"StandardName":"SeAnalytics","FullAcronym":null,"ORC":"https://orcid.org/0000-0001-8261-824X","ROR":null},{"OrderNr":3,"Surname":"Axberg","Firstname":"Alizz","Initials":"A.","PerPublicFlag":1,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":null,"OrigNameLangCode":null,"OrigNameLangID":null,"FullOrigName":null,"InsOwnerCNT":5,"PersID":41404,"InsID":14339,"FullInstitute":"SeAnalytics","RoleID":null,"Role":null,"OrigName":null,"StandardName":"SeAnalytics","FullAcronym":null,"ORC":null,"ROR":null},{"OrderNr":4,"Surname":"Panova","Firstname":"Marina","Initials":"M.","PerPublicFlag":1,"AdrID":164772,"Email":"marina.panova@seanalytics.se","InsPublicFlag":1,"Acronym":null,"OrigNameLangCode":null,"OrigNameLangID":null,"FullOrigName":null,"InsOwnerCNT":5,"PersID":41402,"InsID":14339,"FullInstitute":"SeAnalytics","RoleID":null,"Role":null,"OrigName":null,"StandardName":"SeAnalytics","FullAcronym":null,"ORC":null,"ROR":null}],"taxterms":[{"DasTaxtTypID":1,"DasTaxtType":"Taxonomic coverage","TaxtID":11310,"TaxTerm":"Animalia","AphiaID":2,"DutchTerm":"Dieren"},{"DasTaxtTypID":1,"DasTaxtType":"Taxonomic coverage","TaxtID":11311,"TaxTerm":"Plantae","AphiaID":3,"DutchTerm":"Planten"}],"frameworks":null,"otherterms":null,"temporal":[{"DasDateID":5711,"StartYear":2020,"EndYear":2020,"StartDay":null,"EndDay":null,"StartDate":"2020-01-01","EndDate":"2020-01-01","DasDate":null,"Resolution":null,"ResolutionNL":null,"Notes":null,"StartMonth0":null,"StartMonth":null,"StartMonthNL":null,"EndMonth0":null,"EndMonth":null,"EndMonthNL":null,"Progress":"Completed","ProgressNL":"Afgelopen"}],"geographical":[{"GeoTerm":"Sweden","DasGeoID":13397,"DasGeoTerm":null,"DasID":6684,"GeotID":478,"X":null,"Y":null,"MaxX":null,"MaxY":null,"StationName":null,"Precision":null,"CoordSystID":null,"GeoDatumID":null,"OrigCoordMinX":null,"OrigCoordMinY":null,"OrigCoordMaxX":null,"OrigCoordMaxY":null,"OrderNr":null,"Projection":null,"GeoDatum":null,"GeoObjectID":2180,"OrigGeoTerm":"Sweden","DutchTerm":null}],"meastypes":null,"dasthemes":[{"DasThemeID":21,"DasTheme":"Biology","DasTheme0":"Biology","DutchTerm":"Biologie"},{"DasThemeID":26,"DasTheme":"Biology > Benthos","DasTheme0":"Benthos","DutchTerm":"Benthos"},{"DasThemeID":30,"DasTheme":"Biology > Ecology - 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