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Microsatellite Analysis of Japanese Sea Cucumber, Stichopus (Apostichopus) japonicus, Supports Reproductive Isolation in Color Variants

Overview of attention for article published in Marine Biotechnology, October 2006
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Title
Microsatellite Analysis of Japanese Sea Cucumber, Stichopus (Apostichopus) japonicus, Supports Reproductive Isolation in Color Variants
Published in
Marine Biotechnology, October 2006
DOI 10.1007/s10126-006-6014-8
Pubmed ID
Authors

Manami Kanno, Yoshihisa Suyama, Qi Li, Akihiro Kijima

Abstract

The genetic relationship among the three color variants (Red, Green, and Black) of the Japanese sea cucumber, S. japonicus, was investigated using 11 microsatellite markers. Genetic differentiation testing among the three sympatric color types showed the strong heterogeneity of Red (p<0.001), while no significant difference was observed between Green and Black (p=0.301 to 0.961). UPGMA trees constructed from 10 sample lots from 5 localities showed two distinct clusters, one from the Red types and the other from the Green and Black types. In addition, the sympatric Green and Black formed one subcluster with strong bootstrap support at each locality. These results indicate the separate species status of Red and the other color types, and also support the population identity of sympatric Green and Black.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Mexico 1 2%
Germany 1 2%
Korea, Republic of 1 2%
Unknown 39 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 23%
Student > Ph. D. Student 9 21%
Student > Master 8 19%
Student > Bachelor 3 7%
Other 3 7%
Other 4 9%
Unknown 6 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 63%
Environmental Science 5 12%
Earth and Planetary Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Veterinary Science and Veterinary Medicine 1 2%
Other 0 0%
Unknown 6 14%