Advertisement

Conservation Genetics Resources

, Volume 5, Issue 1, pp 113–116 | Cite as

Characterisation and cross-amplification of fourteen microsatellite loci for the endemic New Zealand tui (Meliphagidae), Prosthemadera novaeseelandiae

  • S. J. WellsEmail author
  • W. Ji
  • S. M. Baillie
  • D. Gleeson
Technical Note

Abstract

We describe eight novel microsatellite loci for the tui, Prosthemadera novaeseelandiae, and the cross-amplification of six polymorphic loci developed for the bellbird (Anthornis melanura). Fifty tui samples from Tawharanui Regional Park, New Zealand, were genotyped using the 14 loci described. Numbers of alleles ranged from 3 to 16. Observed and expected heterozygosities ranged between 0.180–0.940 and 0.237–0.878, respectively. There was no evidence of linkage disequilibrium. One locus (Ame-22) significantly deviated from Hardy–Weinberg Equilibrium. This study highlights the benefits of long-repeat microsatellites in minimising scoring errors. These are the first microsatellites to be developed for the tui and also provide potential markers for studying other honeyeaters throughout the Austro-Papuan region.

Keywords

Microsatellite Tui Prosthemadera novaeseelandiae Honeyeater Meliphagidae Bellbird Anthornis melanura New Zealand 

Notes

Acknowledgments

We thank the University of Otago High-Throughput Sequencing Unit for use of their next-generation sequencing facility which produced the sequence reads for the development of the microsatellites. We thank Fatima Torrico, Helen Cadwaller, Ulla Kail, Sam Hill, and Damien Menard for their help in the field, and Robyn Howitt, Ana Ramón-Laca, and Diana Prada for advice in the lab. This work was supported by Massey University’s Institute of Natural Sciences, Landcare Research Ltd, and the Auckland Council.

References

  1. Dewoody J, Nason JD, Hipkins VD (2006) Mitigating scoring errors in microsatellite data from wild populations. Mol Ecol Notes 6:951–957CrossRefGoogle Scholar
  2. Fairclough BC (2008) MSATCOMMANDER: detection of microsatellite repeat arrays and automated, locus-specific primer design. Mol Ecol Resour 8:92–94CrossRefGoogle Scholar
  3. Gaston KJ (2010) Valuing common species. Science 327:154–155PubMedCrossRefGoogle Scholar
  4. Hedrick PW (2009) Genetics of populations, 4th edn. Jones and Bartlett, SudburyGoogle Scholar
  5. Margulies M, Egholm M, Altman WE, Attiya S, Bader JS, Bemben LA, Berka J, Braverman MS, Chen YJ, Chen Z, Dewell SB, Du L, Fierro JM, Gomes XV, Godwin BC, He W, Helgesen S, Ho CH, Irzyk GP, Jando SC, Alenquer ML, Jarvie TP, Jirage KB, Kim JB, Knight JR, Lanza JR, Leamon JH, Lefkowitz SM, Lei M, Li J, Lohman KL, Lu H, Makhijani VB, McDade KE, McKenna MP, Myers EW, Nickerson E, Nobile JR, Plant R, Puc BP, Ronan MT, Roth GT, Sarkis GJ, Simons JF, Simpson JW, Srinivasan M, Tartaro KR, Tomasz A, Vogt KA, Volkmer GA, Wang SH, Wang Y, Weiner MP, Yu P, Begley RF, Rothberg JM (2005) Genome sequencing in microfabricated high-density picolitre reactors. Nature 437(7057):376–380PubMedGoogle Scholar
  6. Marshall TC, Slate J, Kruuk LEB, Pemberton JM (1998) Statistical confidence for likelihood-based paternity inference in natural populations. Mol Ecol 7:639–655PubMedCrossRefGoogle Scholar
  7. Paterson IG, Baillie SM, Brunton DH, Ritchie PA, Bentzen P (2010) Twelve new microsatellite loci for the Korimako (New Zealand Bellbird), Anthornis melanura. Cons Genet Resour 2:257–259CrossRefGoogle Scholar
  8. Rice WR (1989) Analyzing tables of statistical tests. Evol 43(1):223–225CrossRefGoogle Scholar
  9. Rousset F (2008) GENEPOP’007: a complete re-implementation of the GENEPOP software for Windows and Linux. Mol Ecol Resourc 8:103–106CrossRefGoogle Scholar
  10. Rozen S, Skaletsky HJ (2000) Primer3 on the WWW for general users and for biologist programmers. In: Krawetz S, Misener S, Krawetz S (eds) Miseners. Bioinformatics methods and protocols: methods in molecular biology. Humana Press, Totowa, pp 365–386Google Scholar
  11. Seutin G, White B, Boag P (1991) Preservation of avian blood and tissue samples for DNA analyses. Can J Zool 69:82–90CrossRefGoogle Scholar
  12. Shuelke M (2000) An economic method for the fluorescent labelling of PCR fragments. Nat Biotechnol 18:233–234CrossRefGoogle Scholar
  13. 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 4:535–538CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • S. J. Wells
    • 1
    Email author
  • W. Ji
    • 2
  • S. M. Baillie
    • 3
  • D. Gleeson
    • 4
    • 5
  1. 1.Ecology and Conservation Group, Institute of Natural SciencesMassey UniversityAucklandNew Zealand
  2. 2.Ecology and Conservation Group, Institute of Natural SciencesMassey UniversityAucklandNew Zealand
  3. 3.Ocean Tracking Network Canada, Department of Biology, Life Science CentreDalhousie UniversityHalifaxCanada
  4. 4.Institute of Applied EcologyUniversity of CanberraCanberraAustralia
  5. 5.EcoGeneLandcare Research Ltd.AucklandNew Zealand

Personalised recommendations