Microsatellites assessment of Chinese sturgeon (Acipenser sinensis Gray) genetic variability
Identifieur interne : 000F14 ( Istex/Corpus ); précédent : 000F13; suivant : 000F15Microsatellites assessment of Chinese sturgeon (Acipenser sinensis Gray) genetic variability
Auteurs : N. Zhao ; W. Ai ; Z. Shao ; B. Zhu ; S. Brosse ; J. ChangSource :
- Journal of Applied Ichthyology [ 0175-8659 ] ; 2005-02.
Abstract
Four microsatellites were used to examine the genetic variability of the spawning stocks of Chinese sturgeon, Acipenser sinensis, from the Yangtze River sampled over a 3‐year period (1999–2001). Within 60 individuals, a total of 28 alleles were detected over four polymorphic microsatellite loci. The number of alleles per locus ranged from 4 to 15, with an average allele number of 7. The number of genotypes per locus ranged from 6 to 41. The genetic diversity of four microsatellite loci varied from 0.34 to 0.67, with an average value of 0.54. For the four microsatellite loci, the deviation from the Hardy–Weinberg equilibrium was mainly due to null alleles. The mean number of alleles per locus and the mean heterozygosity were lower than the average values known for anadromous fishes. Fish were clustered according to their microsatellite characteristics using an unsupervised ‘Artificial Neural Networks’ method entitled ‘Self‐organizing Map’. The results revealed no significant genetic differentiation considering genetic distance among samples collected during different years. Lack of heterogeneity among different annual groups of spawning stocks was explained by the complex age structure (from 8 to 27 years for males and 12 to 35 years for females) of Chinese sturgeon, leading to formulate an hypothesis about the maintenance of genetic diversity and stability in long‐lived animals.
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DOI: 10.1111/j.1439-0426.2004.00630.x
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Zhao</name><affiliation><mods:affiliation>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</mods:affiliation></affiliation><affiliation><mods:affiliation>Marine and Estuarine Fisheries (Ministry of Agriculture), Shanghai, China</mods:affiliation></affiliation></author><author><name sortKey="Ai, W" sort="Ai, W" uniqKey="Ai W" first="W." last="Ai">W. Ai</name><affiliation><mods:affiliation>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</mods:affiliation></affiliation></author><author><name sortKey="Shao, Z" sort="Shao, Z" uniqKey="Shao Z" first="Z." last="Shao">Z. Shao</name><affiliation><mods:affiliation>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</mods:affiliation></affiliation></author><author><name sortKey="Zhu, B" sort="Zhu, B" uniqKey="Zhu B" first="B." last="Zhu">B. 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Chang</name><affiliation><mods:affiliation>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Journal of Applied Ichthyology</title><idno type="ISSN">0175-8659</idno><idno type="eISSN">1439-0426</idno><imprint><publisher>Blackwell Verlag GmbH</publisher><pubPlace>Berlin, Germany</pubPlace><date type="published" when="2005-02">2005-02</date><biblScope unit="volume">21</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="7">7</biblScope><biblScope unit="page" to="13">13</biblScope></imprint><idno type="ISSN">0175-8659</idno></series><idno type="istex">3F99F0E5F878A9015EBA57282D6784430B050541</idno><idno type="DOI">10.1111/j.1439-0426.2004.00630.x</idno><idno type="ArticleID">JAI630</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0175-8659</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Four microsatellites were used to examine the genetic variability of the spawning stocks of Chinese sturgeon, Acipenser sinensis, from the Yangtze River sampled over a 3‐year period (1999–2001). Within 60 individuals, a total of 28 alleles were detected over four polymorphic microsatellite loci. The number of alleles per locus ranged from 4 to 15, with an average allele number of 7. The number of genotypes per locus ranged from 6 to 41. The genetic diversity of four microsatellite loci varied from 0.34 to 0.67, with an average value of 0.54. For the four microsatellite loci, the deviation from the Hardy–Weinberg equilibrium was mainly due to null alleles. The mean number of alleles per locus and the mean heterozygosity were lower than the average values known for anadromous fishes. Fish were clustered according to their microsatellite characteristics using an unsupervised ‘Artificial Neural Networks’ method entitled ‘Self‐organizing Map’. The results revealed no significant genetic differentiation considering genetic distance among samples collected during different years. Lack of heterogeneity among different annual groups of spawning stocks was explained by the complex age structure (from 8 to 27 years for males and 12 to 35 years for females) of Chinese sturgeon, leading to formulate an hypothesis about the maintenance of genetic diversity and stability in long‐lived animals.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>N. Zhao</name><affiliations><json:string>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</json:string><json:string>Marine and Estuarine Fisheries (Ministry of Agriculture), Shanghai, China</json:string></affiliations></json:item><json:item><name>W. Ai</name><affiliations><json:string>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</json:string></affiliations></json:item><json:item><name>Z. Shao</name><affiliations><json:string>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</json:string></affiliations></json:item><json:item><name>B. 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type="DOI">10.1111/(ISSN)1439-0426</idno><imprint><publisher>Blackwell Verlag GmbH</publisher><pubPlace>Berlin, Germany</pubPlace><date type="published" when="2005-02"></date><biblScope unit="volume">21</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="7">7</biblScope><biblScope unit="page" to="13">13</biblScope></imprint></monogr><idno type="istex">3F99F0E5F878A9015EBA57282D6784430B050541</idno><idno type="DOI">10.1111/j.1439-0426.2004.00630.x</idno><idno type="ArticleID">JAI630</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2005</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Four microsatellites were used to examine the genetic variability of the spawning stocks of Chinese sturgeon, Acipenser sinensis, from the Yangtze River sampled over a 3‐year period (1999–2001). Within 60 individuals, a total of 28 alleles were detected over four polymorphic microsatellite loci. The number of alleles per locus ranged from 4 to 15, with an average allele number of 7. The number of genotypes per locus ranged from 6 to 41. The genetic diversity of four microsatellite loci varied from 0.34 to 0.67, with an average value of 0.54. For the four microsatellite loci, the deviation from the Hardy–Weinberg equilibrium was mainly due to null alleles. The mean number of alleles per locus and the mean heterozygosity were lower than the average values known for anadromous fishes. Fish were clustered according to their microsatellite characteristics using an unsupervised ‘Artificial Neural Networks’ method entitled ‘Self‐organizing Map’. The results revealed no significant genetic differentiation considering genetic distance among samples collected during different years. Lack of heterogeneity among different annual groups of spawning stocks was explained by the complex age structure (from 8 to 27 years for males and 12 to 35 years for females) of Chinese sturgeon, leading to formulate an hypothesis about the maintenance of genetic diversity and stability in long‐lived animals.</p></abstract></profileDesc><revisionDesc><change when="2005-02">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/3F99F0E5F878A9015EBA57282D6784430B050541/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Verlag GmbH</publisherName><publisherLoc>Berlin, Germany</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1439-0426</doi><issn type="print">0175-8659</issn><issn type="electronic">1439-0426</issn><idGroup><id type="product" value="JAI"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="JOURNAL OF APPLIED ICHTHYOLOGY">Journal of Applied Ichthyology</title></titleGroup></publicationMeta><publicationMeta level="part" position="02001"><doi origin="wiley">10.1111/jai.2005.21.issue-1</doi><numberingGroup><numbering type="journalVolume" number="21">21</numbering><numbering type="journalIssue" number="1">1</numbering></numberingGroup><coverDate startDate="2005-02">February 2005</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="3" status="forIssue"><doi origin="wiley">10.1111/j.1439-0426.2004.00630.x</doi><idGroup><id type="unit" value="JAI630"></id></idGroup><countGroup><count type="pageTotal" number="7"></count></countGroup><titleGroup><title type="tocHeading1">Original Articles</title></titleGroup><eventGroup><event type="firstOnline" date="2005-02-11"></event><event type="publishedOnlineFinalForm" date="2005-02-11"></event><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.3.2 mode:FullText source:FullText result:FullText" date="2010-03-15"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-28"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-23"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="7">7</numbering><numbering type="pageLast" number="13">13</numbering></numberingGroup><correspondenceTo><b>Author's address:</b> Jianbo Chang, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China 430072.
E‐mail: <email>jbchang@ihb.ac.cn</email></correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:JAI.JAI630.pdf"></link></linkGroup></publicationMeta><contentMeta><unparsedEditorialHistory>Received: April 25, 2004 Accepted: September 21, 2004</unparsedEditorialHistory><countGroup><count type="figureTotal" number="3"></count><count type="tableTotal" number="3"></count></countGroup><titleGroup><title type="main">Microsatellites assessment of Chinese sturgeon (<i>Acipenser sinensis</i> Gray) genetic variability</title><title type="shortAuthors">N. Zhao et al.</title><title type="short">Genetic variability of <i>A. sinensis</i></title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1 #a2"><personName><givenNames>N.</givenNames><familyName>Zhao</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a1"><personName><givenNames>W.</givenNames><familyName>Ai</familyName></personName></creator><creator creatorRole="author" xml:id="cr3" affiliationRef="#a1"><personName><givenNames>Z.</givenNames><familyName>Shao</familyName></personName></creator><creator creatorRole="author" xml:id="cr4" affiliationRef="#a1"><personName><givenNames>B.</givenNames><familyName>Zhu</familyName></personName></creator><creator creatorRole="author" xml:id="cr5" affiliationRef="#a3"><personName><givenNames>S.</givenNames><familyName>Brosse</familyName></personName></creator><creator creatorRole="author" xml:id="cr6" affiliationRef="#a1"><personName><givenNames>J.</givenNames><familyName>Chang</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="CN"><unparsedAffiliation>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</unparsedAffiliation></affiliation><affiliation xml:id="a2" countryCode="CN"><unparsedAffiliation>Marine and Estuarine Fisheries (Ministry of Agriculture), Shanghai, China</unparsedAffiliation></affiliation><affiliation xml:id="a3" countryCode="FR"><unparsedAffiliation>LADYBIO,CNRS‐University Paul Sabatier, Toulouse Cedex, France</unparsedAffiliation></affiliation></affiliationGroup><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Summary</title><p>Four microsatellites were used to examine the genetic variability of the spawning stocks of Chinese sturgeon, <i>Acipenser sinensis</i>, from the Yangtze River sampled over a 3‐year period (1999–2001). Within 60 individuals, a total of 28 alleles were detected over four polymorphic microsatellite loci. The number of alleles per locus ranged from 4 to 15, with an average allele number of 7. The number of genotypes per locus ranged from 6 to 41. The genetic diversity of four microsatellite loci varied from 0.34 to 0.67, with an average value of 0.54. For the four microsatellite loci, the deviation from the Hardy–Weinberg equilibrium was mainly due to null alleles. The mean number of alleles per locus and the mean heterozygosity were lower than the average values known for anadromous fishes. Fish were clustered according to their microsatellite characteristics using an unsupervised ‘Artificial Neural Networks’ method entitled ‘Self‐organizing Map’. The results revealed no significant genetic differentiation considering genetic distance among samples collected during different years. Lack of heterogeneity among different annual groups of spawning stocks was explained by the complex age structure (from 8 to 27 years for males and 12 to 35 years for females) of Chinese sturgeon, leading to formulate an hypothesis about the maintenance of genetic diversity and stability in long‐lived animals.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Microsatellites assessment of Chinese sturgeon (Acipenser sinensis Gray) genetic variability</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Genetic variability of A. sinensis</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Microsatellites assessment of Chinese sturgeon (Acipenser sinensis Gray) genetic variability</title></titleInfo><name type="personal"><namePart type="given">N.</namePart><namePart type="family">Zhao</namePart><affiliation>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</affiliation><affiliation>Marine and Estuarine Fisheries (Ministry of Agriculture), Shanghai, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">W.</namePart><namePart type="family">Ai</namePart><affiliation>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Z.</namePart><namePart type="family">Shao</namePart><affiliation>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">B.</namePart><namePart type="family">Zhu</namePart><affiliation>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">S.</namePart><namePart type="family">Brosse</namePart><affiliation>LADYBIO,CNRS‐University Paul Sabatier, Toulouse Cedex, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J.</namePart><namePart type="family">Chang</namePart><affiliation>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Verlag GmbH</publisher><place><placeTerm type="text">Berlin, Germany</placeTerm></place><dateIssued encoding="w3cdtf">2005-02</dateIssued><edition>Received: April 25, 2004 Accepted: September 21, 2004</edition><copyrightDate encoding="w3cdtf">2005</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">3</extent><extent unit="tables">3</extent></physicalDescription><abstract lang="en">Four microsatellites were used to examine the genetic variability of the spawning stocks of Chinese sturgeon, Acipenser sinensis, from the Yangtze River sampled over a 3‐year period (1999–2001). Within 60 individuals, a total of 28 alleles were detected over four polymorphic microsatellite loci. The number of alleles per locus ranged from 4 to 15, with an average allele number of 7. The number of genotypes per locus ranged from 6 to 41. The genetic diversity of four microsatellite loci varied from 0.34 to 0.67, with an average value of 0.54. For the four microsatellite loci, the deviation from the Hardy–Weinberg equilibrium was mainly due to null alleles. The mean number of alleles per locus and the mean heterozygosity were lower than the average values known for anadromous fishes. Fish were clustered according to their microsatellite characteristics using an unsupervised ‘Artificial Neural Networks’ method entitled ‘Self‐organizing Map’. The results revealed no significant genetic differentiation considering genetic distance among samples collected during different years. Lack of heterogeneity among different annual groups of spawning stocks was explained by the complex age structure (from 8 to 27 years for males and 12 to 35 years for females) of Chinese sturgeon, leading to formulate an hypothesis about the maintenance of genetic diversity and stability in long‐lived animals.</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>2005</date><detail type="volume"><caption>vol.</caption><number>21</number></detail><detail type="issue"><caption>no.</caption><number>1</number></detail><extent unit="pages"><start>7</start><end>13</end><total>7</total></extent></part></relatedItem><identifier type="istex">3F99F0E5F878A9015EBA57282D6784430B050541</identifier><identifier type="DOI">10.1111/j.1439-0426.2004.00630.x</identifier><identifier type="ArticleID">JAI630</identifier><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Verlag GmbH</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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