Literature DB >> 27350681

Microsatellite analysis of the genetic relationships between wild and cultivated giant grouper in the South China Sea.

Qing Wang1, Xiang Wang, ZhenZhen Xie, Yiqi Li, Ling Xiao, Cheng Peng, Haifa Zhang, Shuisheng Li, Yong Zhang, Haoran Lin.   

Abstract

The giant grouper (Epinephelus lanceolatus) is a coral fish with high commercial value in Southeast Asia. In the present study, we isolated 11 microsatellite DNA markers, and analysed the genetic diversity and differentiation between cultured stocks and wild populations of the giant grouper originating from the South China Sea. A total of 390 alleles at 11 microsatellite loci were detected in 130 individuals from five different populations. The expected heterozygosity varied from 0.131 to 0.855 with a mean value of 0.623 and the observed heterozygosity varied from 0.145 to 0.869 with a mean value of 0.379. The allelic richness and heterozygosity studies revealed that the genetic diversity of the cultured population was significantly reduced when compared with that of the wild population. The Fis, pairwise Fst values, analysis of molecular variance (AMOVA), threedimensional factorial correspondence analysis and structure analysis revealed significant population differentiation between the cultured stocks and the wild populations, among the three cultured populations and between the two wild populations. These differences may be caused by random genetic drift, the effects of artificial selection and founder effects. Our results will be useful in the management of cultured stocks and conservation of wild populations of the giant grouper.

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Year:  2016        PMID: 27350681     DOI: 10.1007/s12041-016-0647-9

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  9 in total

1.  Statistical analysis of microsatellite DNA data.

Authors: 
Journal:  Trends Ecol Evol       Date:  1999-07       Impact factor: 17.712

2.  Microsatellites for ecologists: a practical guide to using and evaluating microsatellite markers.

Authors:  Kimberly A Selkoe; Robert J Toonen
Journal:  Ecol Lett       Date:  2006-05       Impact factor: 9.492

3.  Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment.

Authors:  Steven T Kalinowski; Mark L Taper; Tristan C Marshall
Journal:  Mol Ecol       Date:  2007-03       Impact factor: 6.185

4.  Nineteen polymorphic microsatellite markers developed for Trachinotus ovatus.

Authors:  Z Z Xie; M W Huang; W Xu; C Peng; J N He; Z N Meng; Y Zhang; S S Li; H R Lin
Journal:  Genet Mol Res       Date:  2014-12-12

5.  ANALYZING TABLES OF STATISTICAL TESTS.

Authors:  William R Rice
Journal:  Evolution       Date:  1989-01       Impact factor: 3.694

6.  Inferring weak population structure with the assistance of sample group information.

Authors:  Melissa J Hubisz; Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Mol Ecol Resour       Date:  2009-04-01       Impact factor: 7.090

7.  Genetic mapping of a gene causing hypertension in the stroke-prone spontaneously hypertensive rat.

Authors:  H J Jacob; K Lindpaintner; S E Lincoln; K Kusumi; R K Bunker; Y P Mao; D Ganten; V J Dzau; E S Lander
Journal:  Cell       Date:  1991-10-04       Impact factor: 41.582

8.  Loss of genetic diversity in the cultured stocks of the large yellow croaker, Larimichthys crocea, revealed by microsatellites.

Authors:  Le Wang; Xiaofeng Shi; Yongquan Su; Zining Meng; Haoran Lin
Journal:  Int J Mol Sci       Date:  2012-05-09       Impact factor: 6.208

9.  Genetic diversity and differentiation of the orange-spotted grouper (Epinephelus coioides) between and within cultured stocks and wild populations inferred from microsatellite DNA analysis.

Authors:  Le Wang; Zining Meng; Xiaochun Liu; Yong Zhang; Haoran Lin
Journal:  Int J Mol Sci       Date:  2011-07-06       Impact factor: 5.923

  9 in total

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