Development of advanced analytical tools to determine the origin of caviar
Identifieur interne : 000994 ( Istex/Corpus ); précédent : 000993; suivant : 000995Development of advanced analytical tools to determine the origin of caviar
Auteurs : H. Rehbein ; J. Molkentin ; R. Schubring ; D. Lieckfeldt ; A. LudwigSource :
- Journal of Applied Ichthyology [ 0175-8659 ] ; 2008-06.
Abstract
Whereas reliable mtDNA‐based methods for species identification of sturgeon caviar are at hand, the development of techniques to separate populations (stocks) or different sources (wild vs farmed) is presently at a preliminary state. We tested three methods, Differential Scanning Calorimetry, determination of stable isotopes (δ15N and δ13C), and mRNA analysis (reverse transcription polymerase chain reaction), for their diagnostic power for population and/or source identification of caviar. Farmed caviar (Acipenser baerii) from northern Germany and caviar samples presented by a trading company (Huso huso, Acipenser stellatus, Acipenser gueldenstadtii, Acipenser persicus from Iran and Kazakhstan) were included. Firstly, several DNA‐based methods (single strand conformation polymorphism analysis, restriction fragment length polymorphism, sequence analysis) were used for species identification. Sequence analysis of cytb showed the largest diagnostic power. According to population and source identification issue, we conclude that all three methods have considerable potential. Nevertheless, additional methods like fatty acid profiling should be added for a reliable identification of populations and sources.
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DOI: 10.1111/j.1439-0426.2008.01091.x
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We tested three methods, Differential Scanning Calorimetry, determination of stable isotopes (δ15N and δ13C), and mRNA analysis (reverse transcription polymerase chain reaction), for their diagnostic power for population and/or source identification of caviar. Farmed caviar (Acipenser baerii) from northern Germany and caviar samples presented by a trading company (Huso huso, Acipenser stellatus, Acipenser gueldenstadtii, Acipenser persicus from Iran and Kazakhstan) were included. Firstly, several DNA‐based methods (single strand conformation polymorphism analysis, restriction fragment length polymorphism, sequence analysis) were used for species identification. Sequence analysis of cytb showed the largest diagnostic power. According to population and source identification issue, we conclude that all three methods have considerable potential. 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Rehbein, Federal Research Centre for Nutrition and Food, Department of Fish Quality, Palmaille 9, 22767 Hamburg, Germany.
E‐mail: <email>hartmut.rehbein@mri.bund.de</email></correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:JAI.JAI1091.pdf"></link></linkGroup></publicationMeta><contentMeta><unparsedEditorialHistory>Received: July 24, 2007 Accepted: September 3, 2007</unparsedEditorialHistory><countGroup><count type="figureTotal" number="7"></count><count type="tableTotal" number="4"></count></countGroup><titleGroup><title type="main">Development of advanced analytical tools to determine the origin of caviar</title><title type="shortAuthors">H. Rehbein et al.</title><title type="short">Development of advanced analytical tools</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1"><personName><givenNames>H.</givenNames><familyName>Rehbein</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a2"><personName><givenNames>J.</givenNames><familyName>Molkentin</familyName></personName></creator><creator creatorRole="author" xml:id="cr3" affiliationRef="#a2"><personName><givenNames>R.</givenNames><familyName>Schubring</familyName></personName></creator><creator creatorRole="author" xml:id="cr4" affiliationRef="#a3"><personName><givenNames>D.</givenNames><familyName>Lieckfeldt</familyName></personName></creator><creator creatorRole="author" xml:id="cr5" affiliationRef="#a3"><personName><givenNames>A.</givenNames><familyName>Ludwig</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="DE"><unparsedAffiliation>Max Rubner‐Institut, Institute for Safety and Quality of Milk and Fish, Department of Fish, Hamburg, Germany</unparsedAffiliation></affiliation><affiliation xml:id="a2" countryCode="DE"><unparsedAffiliation>Max Rubner‐Institut, Institut for Safety and Quality of Milk and Fish, Department of Milk, Kiel, Germany</unparsedAffiliation></affiliation><affiliation xml:id="a3" countryCode="DE"><unparsedAffiliation>Leibniz Institute for Zoo and Wildlife Research, Department for Evolutionary Genetics, Berlin, Germany</unparsedAffiliation></affiliation></affiliationGroup><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Summary</title><p>Whereas reliable mtDNA‐based methods for species identification of sturgeon caviar are at hand, the development of techniques to separate populations (stocks) or different sources (wild vs farmed) is presently at a preliminary state. We tested three methods, Differential Scanning Calorimetry, determination of stable isotopes (δ<sup>15</sup>N and δ<sup>13</sup>C), and mRNA analysis (reverse transcription polymerase chain reaction), for their diagnostic power for population and/or source identification of caviar. Farmed caviar (<i>Acipenser baerii</i>) from northern Germany and caviar samples presented by a trading company (<i>Huso huso, Acipenser stellatus, Acipenser gueldenstadtii, Acipenser persicus</i> from Iran and Kazakhstan) were included. Firstly, several DNA‐based methods (single strand conformation polymorphism analysis, restriction fragment length polymorphism, sequence analysis) were used for species identification. Sequence analysis of <i>cytb</i> showed the largest diagnostic power. According to population and source identification issue, we conclude that all three methods have considerable potential. Nevertheless, additional methods like fatty acid profiling should be added for a reliable identification of populations and sources.</p></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="fn1" numbered="no"><p>The authors have not declared any conflict of interests.</p></note></noteGroup></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Development of advanced analytical tools to determine the origin of caviar</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Development of advanced analytical tools</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Development of advanced analytical tools to determine the origin of caviar</title></titleInfo><name type="personal"><namePart type="given">H.</namePart><namePart type="family">Rehbein</namePart><affiliation>Max Rubner‐Institut, Institute for Safety and Quality of Milk and Fish, Department of Fish, Hamburg, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">Molkentin</namePart><affiliation>Max Rubner‐Institut, Institut for Safety and Quality of Milk and Fish, Department of Milk, Kiel, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">R.</namePart><namePart type="family">Schubring</namePart><affiliation>Max Rubner‐Institut, Institut for Safety and Quality of Milk and Fish, Department of Milk, Kiel, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">D.</namePart><namePart type="family">Lieckfeldt</namePart><affiliation>Leibniz Institute for Zoo and Wildlife Research, Department for Evolutionary Genetics, Berlin, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">A.</namePart><namePart type="family">Ludwig</namePart><affiliation>Leibniz Institute for Zoo and Wildlife Research, Department for Evolutionary Genetics, Berlin, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><place><placeTerm type="text">Oxford, UK</placeTerm></place><dateIssued encoding="w3cdtf">2008-06</dateIssued><edition>Received: July 24, 2007 Accepted: September 3, 2007</edition><copyrightDate encoding="w3cdtf">2008</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">7</extent><extent unit="tables">4</extent></physicalDescription><abstract lang="en">Whereas reliable mtDNA‐based methods for species identification of sturgeon caviar are at hand, the development of techniques to separate populations (stocks) or different sources (wild vs farmed) is presently at a preliminary state. We tested three methods, Differential Scanning Calorimetry, determination of stable isotopes (δ15N and δ13C), and mRNA analysis (reverse transcription polymerase chain reaction), for their diagnostic power for population and/or source identification of caviar. Farmed caviar (Acipenser baerii) from northern Germany and caviar samples presented by a trading company (Huso huso, Acipenser stellatus, Acipenser gueldenstadtii, Acipenser persicus from Iran and Kazakhstan) were included. Firstly, several DNA‐based methods (single strand conformation polymorphism analysis, restriction fragment length polymorphism, sequence analysis) were used for species identification. Sequence analysis of cytb showed the largest diagnostic power. According to population and source identification issue, we conclude that all three methods have considerable potential. Nevertheless, additional methods like fatty acid profiling should be added for a reliable identification of populations and sources.</abstract><relatedItem type="host"><titleInfo><title>Journal of Applied Ichthyology</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">0175-8659</identifier><identifier type="eISSN">1439-0426</identifier><identifier type="DOI">10.1111/(ISSN)1439-0426</identifier><identifier type="PublisherID">JAI</identifier><part><date>2008</date><detail type="title"><title>Proceedings of the 2nd Status Workshop on Identification of Acipenseriformes Species in Trade</title></detail><detail type="volume"><caption>vol.</caption><number>24</number></detail><detail type="supplement"><caption>Suppl. no.</caption><number>s1</number></detail><extent unit="pages"><start>65</start><end>70</end><total>6</total></extent></part></relatedItem><identifier type="istex">F2615E9679131A69735FAEF4DFAC06BD3514A72F</identifier><identifier type="DOI">10.1111/j.1439-0426.2008.01091.x</identifier><identifier type="ArticleID">JAI1091</identifier><accessCondition type="use and reproduction" contentType="copyright">© 2008 The Authors</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Publishing Ltd</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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