Microsatellites assessment of Chinese sturgeon (Acipenser sinensis Gray) genetic variability
Identifieur interne : 000E69 ( Main/Exploration ); précédent : 000E68; suivant : 000E70Microsatellites assessment of Chinese sturgeon (Acipenser sinensis Gray) genetic variability
Auteurs : N. Zhao [République populaire de Chine] ; W. Ai [République populaire de Chine] ; Z. Shao [République populaire de Chine] ; B. Zhu [République populaire de Chine] ; S. Brosse [France] ; J. Chang [République populaire de Chine]Source :
- 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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Shao</name><affiliation wicri:level="1"><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan</wicri:regionArea><wicri:noRegion>Wuhan</wicri:noRegion></affiliation></author><author><name sortKey="Zhu, B" sort="Zhu, B" uniqKey="Zhu B" first="B." last="Zhu">B. Zhu</name><affiliation wicri:level="1"><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan</wicri:regionArea><wicri:noRegion>Wuhan</wicri:noRegion></affiliation></author><author><name sortKey="Brosse, S" sort="Brosse, S" uniqKey="Brosse S" first="S." last="Brosse">S. Brosse</name><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>LADYBIO,CNRS‐University Paul Sabatier, Toulouse Cedex</wicri:regionArea><wicri:noRegion>Toulouse Cedex</wicri:noRegion><wicri:noRegion>Toulouse Cedex</wicri:noRegion></affiliation></author><author><name sortKey="Chang, J" sort="Chang, J" uniqKey="Chang J" first="J." last="Chang">J. 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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><affiliations><list><country><li>France</li><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Zhao, N" sort="Zhao, N" uniqKey="Zhao N" first="N." last="Zhao">N. Zhao</name></noRegion><name sortKey="Ai, W" sort="Ai, W" uniqKey="Ai W" first="W." last="Ai">W. Ai</name><name sortKey="Chang, J" sort="Chang, J" uniqKey="Chang J" first="J." last="Chang">J. Chang</name><name sortKey="Shao, Z" sort="Shao, Z" uniqKey="Shao Z" first="Z." last="Shao">Z. Shao</name><name sortKey="Zhao, N" sort="Zhao, N" uniqKey="Zhao N" first="N." last="Zhao">N. Zhao</name><name sortKey="Zhu, B" sort="Zhu, B" uniqKey="Zhu B" first="B." last="Zhu">B. Zhu</name></country><country name="France"><noRegion><name sortKey="Brosse, S" sort="Brosse, S" uniqKey="Brosse S" first="S." last="Brosse">S. Brosse</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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