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Conservation Genetics Resources

, Volume 5, Issue 2, pp 491–494 | Cite as

Isolation and characterization of thirty microsatellite loci for Atlantic mackerel (Scomber scombrus L.)

  • Gudbjorg OlafsdottirEmail author
  • Kristinn Olafsson
  • Sigurlaug Skirnisdottir
  • Gudmundur J. Oskarsson
  • Doreen Kohlbach
  • Helga Franklinsdottir
  • Cecilia Elisabeth Klitgaard Kvaavik
  • Renée Morneau
  • André Chevrier
  • Christophe Pampoulie
  • Sarah Helyar
  • Anna K. Danielsdottir
Technical Note

Abstract

Atlantic mackerel (Scomber scombrus L.) is a widely distributed commercially important pelagic species. Little is known about the stock structure of this species, but it is thought to be undergoing a range extension due to environmental changes. Knowledge of the stock structure under these changing conditions is fundamental for effective management. In this paper, 30 highly polymorphic microsatellite loci developed with next generation sequencing are described. The number of alleles per locus ranged from 4 to 39 in two geographically distant populations, observed and expected heterozygosities ranged between 0.370–0.978 and 0.426–0.962, respectively. These loci are an important resource that will allow assessment of the current population genetic structure of this species, and enable monitoring of climate related changes in the species range and distribution.

Keywords

Atlantic mackerel Next generation sequencing Microsatellite Genotyping 

Notes

Acknowledgments

The authors thank Alexandra M. Klonowski, Ágústa Sigfúsdóttir, Steinunn Magnúsdóttir and Snædís Björnsdóttir for laboratory assistance. This research was supported by The Fisheries Research Fund of the Icelandic Ministry of Fisheries and Agriculture and NORA-Nordic Atlantic Cooperation.

References

  1. Brownstein MJ, Carpten JD, Smith JR (1996) Modulation of non-templated nucleotide addition by Taq DNA polymerase: primer modifications that facilitate genotyping. Biotechniques 20(6):1004–1006 (1008-1010)PubMedGoogle Scholar
  2. Collette BB, Carpenter KE, Polidoro BA, Juan-Jorda MJ, Boustany A, Die DJ, Elfes C, Fox W, Graves J, Harrison LR, McManus R, Minte-Vera CV, Nelson R, Restrepo V, Schratwieser J, Sun CL, Amorim A, Brick Peres M, Canales C, Cardenas G, Chang SK, Chiang WC, de Oliveira Leite N Jr, Harwell H, Lessa R, Fredou FL, Oxenford HA, Serra R, Shao KT, Sumaila R, Wang SP, Watson R, Yanez E (2011) High value and long life-double jeopardy for tunas and billfishes. Science 333(6040):291–292. doi: 10.1126/science.1208730 PubMedCrossRefGoogle Scholar
  3. Drummond AJ, Ashton B, Buxton S, Cheung M, Cooper A, Duran C, Field M, Heled J, Kearse M, Markowitz S, Moir R, Stones-Havas S, Sturrock S, Thierer T, Wilson A (2011) Geneious v5.5.6. available from http//www.geneious.com
  4. Excoffier L, Lischer HE (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour 10(3):564–567. doi: 10.1111/j.1755-0998.2010.02847.x PubMedCrossRefGoogle Scholar
  5. ICES (2012) Report of the Working Group on Widely Distributed Stocks (WGWIDE), 21–27 Aug 2012, Lowestoft, United Kingdom. ICES CM 2012/ACOM:15. 931 ppGoogle Scholar
  6. IUCN (2012) IUCN red list of threatened species. Version 2012.2. www.iucnredlist.org. Downloaded on 09 Nov 2012
  7. Libungan LA, Olafsdottir G, Skirnisdottir S, Palsson S, Pampoulie C, Bjornsdottir SH, Olafsson K, Oskarsson GJ, Danielsdottir AK (2012) Fourteen new microsatellite markers for Atlantic herring Clupea harengus. J Fish Biol 81(4):1422–1426. doi: 10.1111/j.1095-8649.2012.03391.x PubMedCrossRefGoogle Scholar
  8. Raymond M, Rousset F (1995) Genepop (version 1.2) population genetics software for exact tests and ecumenicism. J Hered 86(3):248–249Google Scholar
  9. Rice WR (1989) Analyzing tables of statistical tests. Evolution 43(1):223–225. doi: 10.2307/2409177 CrossRefGoogle Scholar
  10. Schuelke M (2000) An economic method for the fluorescent labeling of PCR fragments. Nat Biotechnol 18(2):233–234PubMedCrossRefGoogle Scholar
  11. Van Oosterhout C, Hutchinson WF, Wills DPM, Shipley P (2004) Micro-checker: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4(3):535–538. doi: 10.1111/j.1471-8286.2004.00684.x CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Gudbjorg Olafsdottir
    • 1
    Email author
  • Kristinn Olafsson
    • 1
  • Sigurlaug Skirnisdottir
    • 1
  • Gudmundur J. Oskarsson
    • 2
  • Doreen Kohlbach
    • 1
  • Helga Franklinsdottir
    • 1
  • Cecilia Elisabeth Klitgaard Kvaavik
    • 1
  • Renée Morneau
    • 3
  • André Chevrier
    • 3
  • Christophe Pampoulie
    • 2
  • Sarah Helyar
    • 1
  • Anna K. Danielsdottir
    • 1
  1. 1.Matís Ltd.ReykjavíkIceland
  2. 2.Marine Research InstituteReykjavíkIceland
  3. 3.Fisheries and Oceans Canada, Quebec RegionMaurice Lamontagne InstituteMont-JoliCanada

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