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Genetic population structure of Chinese sturgeon ( Acipenser sinensis ) in the Yangtze River revealed by artificial neural network
Author(s) -
Zhu Bin,
Zhao Na,
Shao Zhaojun,
Lek Sovan,
Chang Jianbo
Publication year - 2006
Publication title -
journal of applied ichthyology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.392
H-Index - 62
eISSN - 1439-0426
pISSN - 0175-8659
DOI - 10.1111/j.1439-0426.2007.00932.x
Subject(s) - sturgeon , yangtze river , bin , china , population , biology , chinese population , citation , fishery , library science , genealogy , zoology , information retrieval , fish <actinopterygii> , history , computer science , demography , archaeology , sociology , genetics , algorithm , genotype , gene
An extensive risk analysis should always precede a stocking program. In order to determine the genetic effects of the program, information on genetic composition of the population both prior and after the stocking program is required. Genetic variations within and among three annual spawning runs of Chinese sturgeon were measured by six microsatellites. We found substantial genetic variation remaining within all spawning runs, probably related to the recent nature of the population impact, the longevity of the species, and their apparent self-incompatibility. A subtle genetic structure was detected in the annual spawning runs by an unsupervised self-organizing model. Meanwhile these genetically differentiated spawning stocks may occur sympatrically on a small geographic scale. These results further suggest that the current supportive breeding of A. sinensis may require a careful identification of broodstocks in artificial propagation in order to avoid admixture and hybridization among these genetically different spawning stocks.