Hostname: page-component-8448b6f56d-m8qmq Total loading time: 0 Render date: 2024-04-25T00:46:08.927Z Has data issue: false hasContentIssue false
  • English
  • Français

Temporal genetic variation of microsatellite markers in the razor clam Ensis arcuatus (Bivalvia: Pharidae)

Published online by Cambridge University Press:  23 June 2009

Miguel A. Varela ,
Andrés Martínez-Lage  and
Ana M. González-Tizón
Miguel A. Varela
Affiliation:
Departamento de Biología Celular y Molecular, Universidade da Coruña, Campus de A Zapateira s/n, E-15071 La Coruña, Spain
Andrés Martínez-Lage
Affiliation:
Departamento de Biología Celular y Molecular, Universidade da Coruña, Campus de A Zapateira s/n, E-15071 La Coruña, Spain
Ana M. González-Tizón*
Affiliation:
Departamento de Biología Celular y Molecular, Universidade da Coruña, Campus de A Zapateira s/n, E-15071 La Coruña, Spain
*
Correspondence should be addressed to: A.M. González-Tizón, Departamento de Biología Celular y Molecular, Universidade da Coruña, Campus de A Zapateira s/n, E-15071 La Coruña, Spain email: hakuna@udc.es
Get access Rights & Permissions [Opens in a new window]

Abstract

The aim of this study was to characterize new microsatellite loci in the razor clam Ensis arcuatus (Bivalvia: Pharidae) and examine the temporal genetic variability of a natural bed in Cies Islands (Galicia, north-western Spain) exploited by apnoea divers and affected by the ‘Prestige’ oil tanker spill in November 2002. In this work, we characterized four polymorphic microsatellites using an alternative approach that relies on the amplification and sequencing of ISSR markers. Observed heterozygosities ranged from 0.1053–0.6800 and number of alleles from 4–19. Linkage equilibrium was observed in all loci and two of them showed significant deviations from Hardy–Weinberg equilibrium. Estimators of FST between samples were low (<0.05) and not different from zero with a confidence level of 5%. We did not detect a clear decreasing tendency in genetic diversity although we found a significant change in allelic frequencies among samples (P = 0.0024) after the ‘Prestige’ oil spill. We propose that both phenomena could be related to a high variance in genetic success and/or a movement of adults or larvae from different source populations.

Keywords

Ensis arcuatusgenetic diversitymicrosatellites‘Prestige’ oil spillrazor clam
Type
Research Article
Information
Journal of the Marine Biological Association of the United Kingdom , Volume 89 , Issue 8 , December 2009 , pp. 1703 - 1707
Copyright
Copyright © Marine Biological Association of the United Kingdom 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Barillé-Boyer, A.L., Gruet, Y., Barillé, L. and Harin, N. (2004) Temporal changes in community structure of tide pools following the ‘Erika’ oil spill. Aquatic Living Resources 17, 323–328.CrossRefGoogle Scholar
Belkhir, K., Borsa, P., Chikhi, L., Raufaste, N. and Bonhomme, F. (2003) Genetix 4.04, logiciel sous Windows TM pour la génétique des populations. Laboratoire Génome, Populations, Interactions, Adaptations, Umr 5171. Université de Montpellier 2, Montpellier, France.Google Scholar
Benson, G. (1999) Tandem repeats finder: a program to analyze DNA sequences. Nucleic Acids Research 27, 573–580.CrossRefGoogle Scholar
Brookfield, J.F.Y. (1996) A simple new method for estimating null allele frequency from heterozygote deficiency. Molecular Ecology 5, 453–455.CrossRefGoogle ScholarPubMed
Cajaraville, M.P., Garmendia, L., Orbea, A., Werding, R., Gómez-Mendikute, A., Izagirre, U., Soto, M. and Marigómez, I. (2006) Signs of recovery of mussels health two years after the Prestige oil spill. Marine Environmental Research 62, 337–341.CrossRefGoogle ScholarPubMed
Da Costa, F., Darriba, S. and Martínez-Patiño, D. (2008) Embryonic and larval development of Ensis arcuatus (Jeffreys, 1865) (Bivalvia: Pharidae). Journal of Molluscan Studies 74, 103–109.CrossRefGoogle Scholar
Darriba, S., Iglesias, D., Harshbargerb, J.C. and López, C. (2006) Germinoma in razor clam Ensis arcuatus (Jeffreys, 1865) in Galicia (NW Spain). Journal of Invertebrate Pathology 93, 140–142.CrossRefGoogle ScholarPubMed
David, P., Perdieu, M., Pernot, A. and Jarne, P. (1997) Fine-grained spatial and temporal population genetic structure in the marine bivalve Spisula ovalis. Evolution 51, 1318–1322.CrossRefGoogle ScholarPubMed
Fahy, E. and Gaffney, J. (2001) Growth statistics of an exploited razor clam (Ensis siliqua) bed at Gormanstown, Co Meath, Ireland. Hydrobiologia 465, 139–151.CrossRefGoogle Scholar
Fernández-Tajes, J., Martínez-Lage, A., Freire, R., Guerra, A., Méndez, J. and González-Tizón, A.M. (2008) Genome sizes and karyotypes in the razor clams Ensis arcuatus (Jeffreys, 1865) and E. siliqua (Linnaeus, 1758). Cahiers de Biologie Marine 49, 79–85.Google Scholar
Figueras, A., Lora-Tamayo, E., Tintoré, J., Pérez, F., Albaigés, J., Sánchez, F., Murado, A.G, Rodríguez, E.E and Hernán, R. (2005) Las lecciones de la catástrofe del Prestige. Madrid: Consejo Superior de Investigaciones Científicas.Google Scholar
Fisher, P.J., Gardner, R.C. and Richardson, T.E. (1996) Single locus microsatellites isolated using 5′ anchored PCR. Nucleic Acids Research 24, 4369–4371.CrossRefGoogle ScholarPubMed
Francisco-Candeira, M., González-Tizón, A., Varela, M.A. and Martínez-Lage, A. (2007) Development of microsatellite markers in the razor clam Solen marginatus (Bivalvia: Solenidae). Journal of the Marine Biological Association of the United Kingdom 87, 977–978.CrossRefGoogle Scholar
Gaffney, P.M. (1994) Heterosis and heterozygote deficiencies in marine bivalves: more light? In Beaumont, A.R. (ed.) Genetics and evolution of aquatic organisms. London: Chapman and Hall, pp. 146–153.Google Scholar
Gaspar, M.B., Castro, M. and Monteiro, C.C. (1999) Effect of toothspacing and mesh size on the catch of the Portuguese clam and razor clam dredge. ICES Journal of Marine Science 56, 103–110.CrossRefGoogle Scholar
Glegg, G.A. and Rowland, S.J. (1996) The Braer oil spill-hydrocarbon concentrations in intertidal organisms. Marine Pollution Bulletin 32, 486–492.CrossRefGoogle Scholar
Goudet, J. (2001) FSTAT, a program to estimate and test gene diversities and fixation indices Version 2.9.3. Available from www.unil.ch/izea/softwares/fstat.htmlGoogle Scholar
Hauton, C., Howell, T.R.W., Atkinson, R.J.A. and Moore, P.G. (2007) Measures of hydraulic dredge efficiency and razor clam production, two aspects governing sustainability within the Scottish commercial fishery. Journal of the Marine Biological Association of the United Kingdom 87, 869–877.CrossRefGoogle Scholar
Hayward, P.J. and Ryland, J.S. (1998) Handbook of the marine fauna of north-west Europe. Oxford: Oxford University Press.Google Scholar
Hedgecock, D. (1994) Does variance in reproductive success limit effective population sizes of marine organisms? In Beaumont, A.R. (ed.) Genetics and evolution of aquatic organisms. London: Chapman and Hall, pp. 122–134.Google Scholar
Laffon, B., Rabade, T., Pasaro, E. and Mendez, J. (2006) Monitoring of the impact of Prestige oil spill on Mytilus galloprovincialis from Galician coast. Environment International 32, 342–348.CrossRefGoogle ScholarPubMed
Lande, R. and Shannon, S. (1996) The role of genetic variation in adaptation and population persistence in a changing environment. Evolution 50, 434–437.CrossRefGoogle Scholar
Leberg, P.L. (2002) Estimating allelic richness: effects of sample size and bottlenecks. Molecular Ecology 11, 2445–2449.CrossRefGoogle ScholarPubMed
Li, G. and Hedgecock, D. (1998) Genetic heterogeneity, detected by PCR–SSCP, among samples of larval Pacific oysters (Crassostrea gigas) supports the hypothesis of large variance in reproductive success. Canadian Journal of Fisheries and Aquatic Sciences 55, 1025–1033.CrossRefGoogle Scholar
Moberg, P.E. and Burton, R.S. (2000) Genetic heterogeneity among adult and recruit red sea urchins, Strongylocentrotus franciscanus. Marine Biology 136, 773–784.CrossRefGoogle Scholar
Nei, M. (2005) Bottlenecks, genetic polymorphism and speciation. Genetics 170, 1–4.CrossRefGoogle ScholarPubMed
Oosterhout, C.V., Hutchinson, W.F., Wills, D.P.M. and Shipley, P. (2004) Micro-Checker: software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology Notes 4, 535–538.CrossRefGoogle Scholar
Peteiro, L.G., Babarro, J.M.F., Labarta, U. and Fernández-Reiriz, M.J. (2006) Growth of Mytilus galloprovincialis after the ‘Prestige’ oil spill. ICES Journal of Marine Science 63, 1005–1013.CrossRefGoogle Scholar
Peteiro, L., Filgueira, R., Labarta, U. and Fernández-Reiriz, M.J. (2008) Growth and biochemical responses of the offspring of mussels directly affected by the ‘Prestige’ oil spill. ICES Journal of Marine Science 65, 509–513.CrossRefGoogle Scholar
Piñeira, J., Quesada, H., Rolán-Alvarez, E. and Caballero, A. (2008) Genetic impact of the Prestige oil spill in wild populations of a poor dispersal marine snail from intertidal rocky shores. Marine Pollution Bulletin 56, 270–281.CrossRefGoogle ScholarPubMed
Raymond, M. and Rousset, F. (1995) GENEPOP Version 1.2: population genetics software for exact tests and ecumenicism. ICES Journal of Marine Science 86, 248–249.Google Scholar
Ridoux, V., Lafontaine, L., Bustamante, P., Caurant, F., Dabin, W., Delcroix, C., Hassani, S., Meynier, L., Pereira da Silva, V., Simonin, S., Robert, M., Spitz, J. and Van Canneyt, O. (2004) The impact of the ‘Erika’ oil spill on pelagic and coastal marine mammals: combining demographic, ecological, trace metals and biomarker evidences. Aquatic Living Resources 17, 379–387.CrossRefGoogle Scholar
Robinson, R.F. and Richardson, C.A. (1998) The direct and indirect effects of suction dredging on a razor clam (Ensis arcuatus) population. ICES Journal of Marine Science 55, 970–977.CrossRefGoogle Scholar
Smith, J.E. (1968) ‘Torrey Canyon’ pollution and marine life: a report by the Plymouth Laboratory of the Marine Biological Association of the United Kingdom. Cambridge: Cambridge University Press.Google Scholar
Southward, A. (1978) Marine life and Amoco Cadiz. New Scientist 79, 174–176.Google Scholar
Vadopalas, B., Leclair, L.L. and Bentzen, P. (2004) Microsatellite and allozyme reveal few genetic differences among spatially distinct aggregations of geoduck clams (Panopea abrupta, Conrad 1849). Journal of Shellfish Research 23, 693–706.Google Scholar
Varela, M.A., González-Tizón, A., Francisco-Candeira, M. and Martínez-Lage, A. (2007) Isolation and characterization of polymorphic microsatellite loci in the razor clam Ensis siliqua. Molecular Ecology Notes 7, 221–222.CrossRefGoogle Scholar
Ward, R.D. (2006) The importance of identifying spatial population structure in restocking and stock enhancement programmes. Fisheries Research 80, 9–18.CrossRefGoogle Scholar
Weir, B.S. and Cockerham, C.C. (1984) Estimating F-statistics for the analysis of population structure. Evolution 38, 1358–1370.Google ScholarPubMed
Winnepenninckx, B., Backeljau, T. and De Wachter, R. (1993) Extraction of high molecular weight DNA from molluscs. Trends in Genetics 9, 407.Google ScholarPubMed