Genetic Variability and Population Structure of Ark Shell in Japan

Abstract

Ark shell Scapharca kagoshimensis is one of the commercially important bivalve resources in East Asia. In Japan, the mass production method for its natural seedlings was developed in the 1880s, and they had been transplanted to an array of the major fishing areas. It has been therefore concerned with its genetic disturbance among not only current but also former fishing areas in Japan. This study was undertaken to ascertain its genetic diversity and population structure in East Asia by means of nucleotide sequence analysis of a 555-bp portion of the mitochondrial DNA COI gene. Of 225 individuals collected from 8 populations and 1 population in Japan and Korea, respectively, a total of 59 haplotypes, including 14 common haplotypes, were found, and Japan and Korea shared 3 common haplotypes. In Japan, the haplotype diversity and nucleotide diversity ranged from 0.65 to 0.93 and from 0.22% to 0.59%, respectively, reflecting relatively high levels of genetic diversity. The values in Korea were determined to be 0.45% and 0.19%, respectively, indicating significantly lower genetic diversity compared with that in Japan. Mismatch distribution analysis and neutrality tests showed a recent history of multiple types of reproduction and signals of demographic change in each population. These results suggest that S. kagoshimensis has experienced rapid population growth or reduction in population size such as a bottleneck in a short period.

Share and Cite:

T. Tanaka and F. Aranishi, "Genetic Variability and Population Structure of Ark Shell in Japan," Open Journal of Marine Science, Vol. 4 No. 1, 2014, pp. 8-17. doi: 10.4236/ojms.2014.41002.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] T. Okutani, “Class BIVALVIA/Subclass PTERIOMORPHIA/Orde ARCOIDA,” In: T. Okutani, Ed., Marine Mollusks in Japan, Tokai University Press, Kanagawa, 2001, pp. 845-855.
[2] Ministry of Agriculture, Forestry and Fisheries, “Annual Statistics of Fishery and Aquaculture Production,” Association of Agriculture & Forestry Statistics, Tokyo, 2009.
[3] D. Kusakabe, “Studies on the Culture of the Artificial Seeds of the Ark Shell Anadara subcrenata (Lischke),” Journal of the Faculty of Fisheries and Animal Husbandry Hiroshima University, Vol. 2, No. 2, 1959, pp. 183-239.
[4] T. Mukai, “Hybridization and Introgression in the Speciation Process of Fishes,” Japanese Journal of Ichthyology, Vol. 48, No. 1, 2001, pp. 1-18.
[5] C. Wang, C. Li and S. Li, “Mitochondrial DNA-Inferred Population Structure and Demographic History of the Mitten Crab (Eriocheir sensu stricto) Found along the Coast of Mainland China,” Molecular Ecology, Vol. 17, No. 15, 2008, pp. 3515-3527.
[6] S. von der Heyden, E. Gildenhuys, G. Bernardi and R. C. K. Bowie, “Fine-Scale Biogeography: Tidal Elevation Strongly Affects Population Genetic Structure and Demographic History in Intertidal Fishes,” Frontiers of Biology, Vol. 5, No. 1, 2013, pp. 29-38.
[7] J. C. Avise, “Phytogeography: The History and Formation of Species,” Harvard University Press, Massachusetts, 2000.
[8] Y. Iidzuka, T. Mito, K. Noda, T. Iwasaki, T. Tanaka, T. Yokoo and F. Aranishi, “Genetic Diversity of YamatoShijimi Clam Corbicula japonica in Lake Shinji, Japan,” Research Report of the Research and Education Center for Inlandwater Environment Shinshu University, No. 6, 2010, pp. 115-124.
[9] M. Iida, M. Kanno and A. Kijima, “Genetic Population Structure of Corbicula japonica around East Asia Estimated by mtDNA COI Sequence Analysis,” Nippon Suisan Gakkaishi, Vol. 78, No. 5, 2012, pp. 934-944.
http://dx.doi.org/10.2331/suisan.78.934
[10] Y. Mao, T. Gao, T. Yanagimoto and Y. Xiao, “Molecular Phylogeography of Ruditapes philippinarum in the Northwestern Pacific Ocean Based on COI Gene,” Journal of Experimental Marine Biology and Ecology, Vol. 407, No. 2, 2011, pp. 171-181.
http://dx.doi.org/10.1016/j.jembe.2011.06.002
[11] T. Tanaka and F. Aranishi, “Mitochondrial DNA Markers for PCR-Based Phylogenetic Analysis of Ark Shells,” Open Journal of Marine Science, Vol. 3, No. 4, 2013, pp. 182-189. http://dx.doi.org/10.4236/ojms.2013.34021
[12] S. Y. Lee and S. H. Kim, “Genetic Variation and Discrimination of Korean Arkshell Scapharca Species (Bivalvia, Arcoida) Based on Mitochondrial COI Gene Sequences and PCR-RFLP,” Korean Journal of Genetics, Vol. 25, No. 4, 2003, pp. 309-315.
[13] E. S. Cho, C. G. Jung, S. G. Sohn, C. W. Kim and S. J. Han, “Population Genetic Structure of the Ark Shell Scapharca broughtonii Schrenck from Korea, China, and Russia Based on COI Gene Sequences,” Marine Biotechnology, Vol. 9, No. 2, 2005, pp. 203-216.
http://dx.doi.org/10.1007/s10126-006-6057-x
[14] F. Aranishi and T. Okimoto, “Genetic Relationship between Cultured Populations of Pacific Oyster Revealed by RAPD Analysis,” Journal of Applied Genetics, Vol. 45, No. 4, 2004, pp. 435-443.
[15] F. Aranishi and T. Okimoto, “Sequence Polymorphism in a Novel Noncoding Region of Pacific Oyster Mitochondrial DNA,” Journal of Applied Genetics, Vol. 46, No. 2, 2005, pp. 201-206.
[16] F. Aranishi, “A Novel Mitochondrial Intergenic Spacer Reflecting Population Structure of Pacific Oyster,” Journal of Applied Genetics, Vol. 47, No. 2, 2006, pp. 119-123. http://dx.doi.org/10.1007/BF03194610
[17] J. D. Thompson, D. G. Higgins and T. J. Gibson, “CLUSTAL W: Improving the Sensitivity of Progressive Multiple Sequence Alignment through Sequence Weighting, Position-Specific Gap Penalties and Weight Matrix Choice,” Nucleic Acids Research, Vol. 22, No. 22, 1994, pp. 4673-4680. http://dx.doi.org/10.1093/nar/22.22.4673
[18] K. Tamura, D. Peterson, N. Peterson, G. Stecher, M. Nei and S. Kumar, “MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods,” Molecular Biology and Evolution, Vol. 28, No. 10, 2011, pp. 2731-2739. http://dx.doi.org/10.1093/molbev/msr121
[19] L. Excoffier and H. E. L. Lischer, “Arlequin Suite ver 3.5: A New Series of Programs to Perform Population Genetics Analyses under Linux and Windows,” Molecular Ecology Resources, Vol. 10, No. 3, 2010, pp. 564-567.
http://dx.doi.org/10.1111/j.1755-0998.2010.02847.x
[20] W. R. Rice, “Analyzing Tables of Statistical Tests,” Evolution, Vol. 43, No. 1, 1989, pp. 223-225.
http://dx.doi.org/10.2307/2409177
[21] M. Kimura, “A Simple Method for Estimating Evolutionary Rates of Base Substitutions through Comparative Studies of Nucleotide Sequences,” Journal of Molecular Evolution, Vol. 16, No. 2, 1980, pp. 111-120.
http://dx.doi.org/10.1007/BF01731581
[22] J. Felsenstein, “PHYLIP (Phylogeny Inference Package) Version 3.6. (Distributed by Felsenstein J.),” University of Washington, Seattle, 2005.
[23] M. Clement, D. Posada and K. Crandall, “TCS: A Computer Program to Estimate Gene Genealogies,” Molecular Ecology, Vol. 9, No. 10, 2000, pp. 1657-1660.
http://dx.doi.org/10.1046/j.1365-294x.2000.01020.x
[24] F. Tajima, “Statistical Method for Testing the Neutral Mutation Hypothesis by DNA Polymorphism,” Genetics, Vol. 123, No. 3, 1989, pp. 585-595.
[25] Y. X. Fu, “Statistical Tests of Neutrality against Population Growth, Hitchhiking and Background Selection,” Genetics, Vol. 147, No. 2, 1997, pp. 915-925.
[26] S. Mousset, N. Derome and M. Veuille, “A Neutrality Test Based on the Mismatch Distribution,” Molecular Biology and Evolution, Vol. 21, No. 4, 2004, pp. 724-731.
http://dx.doi.org/10.1093/molbev/msh066

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.