Advertisement

Conservation Genetics Resources

, Volume 2, Supplement 1, pp 177–179 | Cite as

Characterisation of microsatellite markers for the rare and critically endangered Banksia brownii (Proteaceae)

  • Shelley L. McArthur
  • David J. Coates
Technical Note

Abstract

Banksia brownii is a critically endangered small endemic tree restricted to the Stirling Range and Albany area of Western Australia. A genomic library was constructed and novel polymorphic microsatellite markers developed to allow studies of genetic structure, mating systems and gene flow in B. brownii. Markers were assessed in individuals from across the species range and polymorphism further investigated for 12 selected markers in 26 individuals from the Toolbrunup Stirling Range population. Three loci showed significant departure from Hardy–Weinberg equilibrium (P < 0.01) and two of these showed evidence of null alleles. None of the two locus combinations showed evidence of linkage disequilibrium. Levels of polymorphism were moderate in the Toolbrunup population with the number of alleles per locus ranging from two to nine. Observed heterozygosity ranged from 0.200 to 0.957 and expected heterozygosity from 0.308 to 0.849.

Keywords

Banksia brownii Microsatellites Genetic structure Rare Endemic 

Notes

Acknowledgments

We acknowledge funding for this project from the Department of Environment and Conservation Landscope Visa card project. We also thank Bronwyn MacDonald for assistance in the laboratory and Margaret Byrne and Maggie Hankinson for technical advice.

References

  1. Doyle J, Doyle J (1987) A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem Bull 19:11–15Google Scholar
  2. Jones KC, Levine KF, Banks JD (2002) Characterization of 11 polymorphic tetranucleotide microsatellites for forensic applications in California elk (Cervus elaphus canadensis). Mol Ecol Notes 2:425–427CrossRefGoogle Scholar
  3. Oosterhout C, Hutchinson W, Willds D, Shipley P (2004) MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4:535–538CrossRefGoogle Scholar
  4. Peakall R, Smouse P (2006) GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes 6:288–295CrossRefGoogle Scholar
  5. Raymond M, Rousset F (1995) GENEPOP (version 3.4): population genetics software for exact test and ecumenicism. J Hered 86:248–249Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Science Division, Department of Environment and ConservationBentley Delivery CentreAustralia

Personalised recommendations