Conservation Genetics Resources

, Volume 4, Issue 1, pp 39–42

Tri- and tetra-nucleotide microsatellite DNA markers for assessing genetic diversity, population structure, and demographics in the Holmgren milk-vetch (Astragalus holmgreniorum)

Technical Note


We document the isolation and characterization of 17 tri- and tetra-nucleotide microsatellite DNA markers in the Holmgren milk-vetch (Astragalus holmgreniorum) surveyed among plants from three critical habitat units (CHUs) located in southern Utah and northern Arizona, USA. These markers displayed moderate to high levels of allelic diversity (averaging 19.5 alleles/locus) and heterozygosity (averaging 75.1%). No deviations from Hardy–Weinberg equilibrium and limited (1.8%) linkage disequilibrium were observed. A series of analyses identified significant population differentiation among the three CHUs. Demographic analyses suggested that each collection has achieved mutation-drift equilibrium. The microsatellite markers developed for A. holmgreniorum yielded sufficient genetic diversity to: (1) distinguish individuals and delineate kinship; (2) elucidate population structure; (3) define management units; and (4) provide unique demographic perspectives for recovery efforts.


Holmgren milk-vetch Astragalus holmgreniorum Microsatellite DNA Critical habitat unit Population Gene flow Diversity Differentiation 


  1. Cornuet JM, Luikart G (1996) Description and power analysis of two tests for detecting recent population bottlenecks from allele frequency data. Genetics 144:2001–2014PubMedGoogle Scholar
  2. Davies N, Villablanca FX, Roderick GK (1999) Determining the source of individuals: multilocus genotyping in nonequilibrium population genetics. Trends Ecol Evol 14:17–21PubMedCrossRefGoogle Scholar
  3. Evanno G, Regnault S, Goudet J (2005) Detecting the number of clusters of individuals using the software structure: a simulation study. Mol Ecol 14:2611–2620PubMedCrossRefGoogle Scholar
  4. Hammer Ø, Harper DAT, Ryan PD (2001) PAST: paleontological statistics software package for education and data analysis. Palaeontol Electronica 4(1):1–9.
  5. King TL, Johnson RL (2010) Novel tetra-nucleotide microsatellite DNA markers for assessing the evolutionary genetics and demographics of Northern Snakehead (Channa argus) invading North America. Conserv Genet Resour 3:1–4CrossRefGoogle Scholar
  6. King TL, Switzer JF, Morrison CL, Eackles MS, Young CC, Lubinski BA, Cryan P (2006) Comprehensive genetic analyses reveal evolutionary distinction of a mouse (Zapus hudsonius preblei) proposed for delisting from the US Endangered Species Act. Mol Ecol 15:4331–4359PubMedCrossRefGoogle Scholar
  7. Luikart G, Sherwin WB, Steele BM, Allendorf FW (1998) Usefulness of molecular markers for detecting population bottlenecks via monitoring genetic change. Mol Ecol 7:963–974PubMedCrossRefGoogle Scholar
  8. Peacock MM, Kirchoff VS, Merideth SJ (2002) Identification and characterization of nine polymorphic microsatellite loci in the North American pika, Ochotona princeps. Mol Ecol Notes 2:360–362CrossRefGoogle Scholar
  9. Peakall R, Smouse PE (2006) GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes 6:288–295CrossRefGoogle Scholar
  10. Piry S, Luikart G, Cornuet J-M (1999) BOTTLENECK: a computer program for detecting recent reductions in the effective population size using allele frequency data. J Hered 90:502–503CrossRefGoogle Scholar
  11. Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155(2):945–959PubMedGoogle Scholar
  12. Raymond M, Rousset F (1995) GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. J Hered 86:248–249Google Scholar
  13. Rice WR (1989) Analyzing tables of statistical tests. Evolution 43:223–225CrossRefGoogle Scholar
  14. Taberlet P, Luikart G (1999) Non-invasive genetic sampling and individual identification. Biol J Linn Soc 68:41–55CrossRefGoogle Scholar

Copyright information

© US Government 2011

Authors and Affiliations

  1. 1.U.S. Geological Survey, Leetown Science Center, Aquatic Ecology BranchKearneysvilleUSA

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