Fine-scale genetic structure derived from stocking black sea bream, acanthopagrus schlegelii (bleeker, 1854), in Hiroshima Bay, Japan

Journal of Applied Ichthyology

Volumn 25, Issue 4, 2009, Pages 407-410

  Blanco Gonzalez, E ^a   Umino, T ^a  

^a HIROSHIMA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACANTHOPAGRUS SCHLEGELII; ARCHOSARGUS RHOMBOIDALIS; HYPEROGLYPHE POROSA;

EID: 70350626962     PISSN: 01758659     EISSN: 14390426     Source Type: Journal    
DOI: 10.1111/j.1439-0426.2009.01249.x     Document Type: Article

References (24)

1. Anonymous, 1987: Results in Hiroshima prefecture. In: Work on the development of releasing techniques for the stock enhancement for fiscal year 1986 - synthesis report of the group for black sea bream. Nansei Regional Fisheries Research Laboratory, Fisheries Agency, Ohno, Japan. pp. 1-26.
2. Blanco Gonzalez, E.; Nagasawa, K.; Umino, T., 2008a: Stock enhancement program for black sea bream (Acanthopagrus schlegelii) in Hiroshima Bay: monitoring the genetic effects. Aquaculture 276, 36-113
3. Blanco Gonzalez, E.; Umino, T.; Nagasawa, K., 2008b: Stock enhancement program for black sea bream, Acanthopagrus schlegelii (Bleeker), in Hiroshima Bay, Japan: a review. Aquac. Res. 39, 1307-1315.
4. Castro, J.; Pino, A.; Hermida, M.; Bouza, C.; Riaza, A.; Ferreiro, I.; Sanchez, L.; Martinez, P., 2006: A microsatellite marker tool for parentage analysis in Senegal sole (Solea senegalensis): genotyping errors, null alleles and conformance to theoretical assumptions. Aquaculture 261, 1194-1203.
5. Duchesne, P.; Godbout, M. H.; Bernatchez, L., 2002: PAPA (package for the analysis of parental allocation): a computer program for simulated and real parental allocation. Mol. Ecol. Notes 2,191-193.
6. Excoffier, L.; Laval, G.; Schneider, S., 2006: arlequin version 3.01: an integrated software package for population genetic data analysis. Computational and Molecular Population Genetics Laboratory., University of Berne, Switzerland.
7. Gaggiotti, O. E.; Lange, O.; Rassmann, K.; Gliddon, C., 1999: A comparison of two indirect methods for estimating average levels of gene flow using microsatellite data. Mol. Ecol. 8,1513-1520.
8. Guo, S. W.; Thompson, E. A., 1992: Performing the exact test of Hardy-Weinberg proportions for multiple alleles. Biometrics 48, 361-372.
9. Jeong, D. S.; Umino, T.; Kuroda, K.; Hayashi, M.; Nakagawa, H.; Kang, J. C.; Morishima, K.; Arai, K., 2003: Genetic divergence and population structure of black sea bream Acanthopagrus schlegeli inferred from microsatellite analysis. Fish. Sci. 69, 896-902.
10. Jeong, D. S.; Blanco Gonzalez, E.; Morishima, K.; Arai, K.; Umino, T., 2007: Parentage assignment of stocked black sea bream, Acanthopagrus schlegelii in Hiroshima Bay using microsatellite DNA markers. Fish. Sci. 73, 823-830.
11. Lo Brutto, S.; Arculeo, M; Parrinello, N., 2004: Congruence in genetic markers used to describe Mediterranean and Atlantic populations of European hake (Merluccius merluccius L. 1758). J. Appl. Ichthyol. 20, 81-86.
12. Marshall, T. C.; Slate, J.; Kruuk, L. E.; Pemberton, J. M., 1998: Statistical confidence for likelihood-based paternity inference in natural populations. Mol. Ecol. 7, 639-655.
13. Ortega-Villaizán Romo, M. M.; Suzuki, S.; Ikeda, M.; Nakajima, M.; Taniguchi, N., 2005: Monitoring of the genetic variability of the hatchery and recaptured fish in the stock enhancement program of the rare species barfin flounder Verasper moseri. Fish. Sci. 71, 1120-1130.
14. Pérez-Enriquez, R.; Taniguchi, N., 1999: Genetic structure of red sea bream (Pagrus major) population off Japan and the Southwest Pacific, using microsatellite DNA markers. Fish. Sci. 65, 23-30.
15. Pérez-Enriquez, R.; Takagi, M.; Taniguchi, N., 1999: Genetic variability and pedigree tracing of a hatchery-reared stock of red sea bream (Pagrus major) used for stock enhancement, based on microsatellite DNA markers. Aquaculture 173, 413-423.
16. Raymond, M.; Rousset, F., 1995: genepop (version 3.4): population genetics software for exact tests and ecumenicism. J. Hered. 86, 248-249.
17. Reynolds, J.; Weir, B. S.; Cockerman, C. C., 1983: Estimation for the coancestory coefficient: basis for a short term genetic distance. Genetics 105, 767-779.
18. Rice, W. R., 1989: Analyzing tables of statistical tests. Evolution 43, 223-225.
19. Salvanes, A. G. V.; Aksnes, D. L.; Fosså, J. H.; Giske, J., 1995: Simulated carrying capacities of fish in Norwegian fjords. Fish. Oceanogr. 4, 17-32.
20. Slatkin, M. A., 1995: A measure of population subdivision based on microsatellite allele frequencies. Genetics 139, 457-462.
21. Summers, K.; Amos, W., 1997: Behavioral, ecological, and molecular genetic analyses of reproductive strategies in the Amazonian dartpoison frog, Dendrobates ventrimaculatus. Behav. Ecol. 8, 260-267.
22. Umino, T.; Hayashi, M.; Miyatake, J.; Nakayama, K.; Sasaki, T.; Okada, K.; Nakagawa, H., 1999: Significance of release of black sea bream at 20-mm size on stock enhancement in Daiô Bay, Hiroshima. Suisanzoshoku 47, 337-342.
23. Weir, B. S.; Cockerham, C. C., 1984: Estimating F-statistics for the analysis of population structure. Evolution 38, 1358-1370.
24. Youngson, A. F.; Dosdat, A.; Saroglia, M.; Jordan, W. C., 2001: Genetic interactions between marine finfish species in European aquaculture and wild conspecifics. J. Appl. Ichthyol. 17, 153.