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Conservation Genetics

, Volume 11, Issue 1, pp 249–255 | Cite as

Temporal changes in genetic diversity of isolated populations of perch and roach

  • Marnie H. DemandtEmail author
Research Article

Abstract

Genetic drift, together with natural selection and gene flow, affects genetic variation and is the major source of changes in allele frequencies in small and isolated populations. Temporal shifts in allele frequencies at five polymorphic loci were used to estimate the amount of genetic drift in an isolated population of perch (Perca fluviatilis L.) and roach (Rutilus rutilus L.). Here, I used the populations from the Biotest basin at Forsmark, Sweden, to investigate genetic diversity between 1977 and 2000, during which time the population can be considered to be totally isolated from other populations. Microsatellite data reveal stable levels of gene diversity over time for both species. Estimates of genetic differentiation (F ST) showed a significant divergence between 1977 and 2000 for both perch and roach. A positive correlation between genetic distance and time was found (Mantel test, perch: r = 0.724, P = 0.0112; roach: r = 0.59, P = 0.036). Estimates of effective population size (N e) differed with a factor six between two different estimators (NeEstimator and TempoFS) applying the temporal method. Ratios of N e/N ranged between 10−2 and 10−3, values normally found in marine species. Despite low N e the populations have not lost their evolutionary potential due to drift. But two decades of isolation have lead to isolation by time for populations of perch and roach, respectively.

Keywords

Temporal variation Effective population size Genetic diversity Isolation by time Perch Roach 

Notes

Acknowledgments

I thank Stefan Palm, Sara Bergek, Mats Björklund, Amber Rice, and two anonymous reviewers for providing valuable comments on a previous version of the manuscript. I thank the Swedish Board of Fisheries for providing the samples. Thanks to Peter Karås for giving valuable information about the Biotest basin and Anders Adill for compiling species abundance data.

Supplementary material

10592_2009_27_MOESM1_ESM.doc (164 kb)
Supplementary material 1 (DOC 163 kb)

References

  1. Begon M, Harper JL, Townsend CR (1996) Ecology: individuals, populations and communities. Blackwell Science, OxfordGoogle Scholar
  2. Bergek S, Björklund M (2007) Cryptic barriers to dispersal within a lake allow genetic differentiation of Eurasian perch. Evolution 61:2035–2041CrossRefPubMedGoogle Scholar
  3. Björklund M, Bergek S (2009) On the relationship between population differentiation and sampling effort: is more always better? Oikos 118:1127–1129CrossRefGoogle Scholar
  4. Borell YJ, Bernardo D, Blanco G, Vásquez E, Sánchez JA (2008) Spatial and temporal variation of genetic diversity and estimation of effective population sizes in Atlantic salmon (Salmo salar. L.) populations from Asturias (Northern Spain) using microsatellites. Conserv Gen 9:807–819CrossRefGoogle Scholar
  5. Crooijmans RPMA, Bierbooms VAF, Komen J, Van der Poes JJ, Groenen MAM (1997) Microsatellite markers in common carp (Cyprinus carpio L.). Anim Gen 28:129–134CrossRefGoogle Scholar
  6. Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14:2611–2620CrossRefPubMedGoogle Scholar
  7. Frankham R, Ballou JD, Briscoe DA (2002) Introduction to conservation genetics. Cambridge University Press, CambridgeGoogle Scholar
  8. Gerlach G, Schardt U, Eckmann R, Meyer A (2001) Kin-structured subpopulations in Eurasian perch (Perca fluviatilis L.). Heredity 86:213–221CrossRefPubMedGoogle Scholar
  9. Goudet J (1995) Fstat version 1.2: a computer program to calculate F-statistics. Heredity 86:485–486Google Scholar
  10. Hartl DL, Clark AG (1989) Principles of population genetics. Sinauer Associates, Massachusetts, SunderlandGoogle Scholar
  11. Hauser L, Adcock GJ, Smith PJ, Bernal Ramírez JH, Carvalho GR (2002) Loss of microsatellite diversity and low effective popoulation size in an overexploited population of New Zealand snapper (Pagrus auratus). PNAS 99:11742–11747CrossRefPubMedGoogle Scholar
  12. Hedgecock D (1994) Does variance in reproductive success limit effective population sizes of marine organisms? In: Beaumont AR (ed) Genetics and evolution of aquatic organisms. Chapman & Hall, London, pp 122–134Google Scholar
  13. Jorde PE, Ryman N (1995) Temporal allele frequency change and estimation of effective size in populations with overlapping generations. Genetics 139:1077–1090PubMedGoogle Scholar
  14. Jorde PE, Ryman N (2007) Unbiased estimator for genetic drift and effective population size. Genetics 177:927–935CrossRefPubMedGoogle Scholar
  15. Kalinowski ST, Waples RS (2002) Relationship of effective to census size in fluctuating populations. Conserv Biol 16:129–136CrossRefGoogle Scholar
  16. Leclerc D, Wirth T, Bernatchez L (2000) Isolation and characterization of microsatellite loci in the yellow perch (Perca flavescens), and cross-species amplification within the family Percidae. Mol Ecol 9:995–997CrossRefPubMedGoogle Scholar
  17. Lessios HA, Weinberg JR, Starczak VR (1994) Tempoal variation in populations of the marine isopod Excirolana: how stable are gene frequencies and morphology? Evolution 48:549–563CrossRefGoogle Scholar
  18. Lynch M, Ritland K (1999) Estimation of pairwise relatedness with molecular markers. Genetics 152:1753–1766PubMedGoogle Scholar
  19. Peel D, Ovenden JR, Peel SL (2004) NeEstimator: software for estimating effective population size, Version 1.3. Queensland Government, Department of Primary Industries and Fisheries, QueenslandGoogle Scholar
  20. Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945–959PubMedGoogle Scholar
  21. Raymond M, Rousset F (1995) Genepop (version 1.2) Population genetics software for exact tests and ecumenicism. Heredity 86:248–249Google Scholar
  22. Sandström O (1990) Vattenmiljö vid Forsmarks kraftstation. Naturvårdsverket Rapport 3867Google Scholar
  23. Schneider S, Roessli D, Excoffier L (2000) Arlequin: a software for population genetics data analysis. Vers 2.000 Genetics and Biometry Laboratory. Department of Anthropology, University of Geneva, SwitzerlandGoogle Scholar
  24. Shikano T, Chiyokubo T, Taniguchi N (2001) Temporal changes in allele frequencies, genetic variation and inbreeding depression in small populations of the guppy, Poecilia reticulata. Heredity 86:153–160CrossRefPubMedGoogle Scholar
  25. Thoresson G (1992) Handbok för kustundersökningar. Recipientkontroll. Kustrapport 4:1–88Google Scholar
  26. Van Oosterhout C, Hutchinson WF, Wills DPM, Shipley P (2004) Micro-Checker: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol 4:535–538CrossRefGoogle Scholar
  27. Walsh PS, Metzger DA, Higuchi R (1991) Chelex 100 as a medium for simple extraction of DNA for PCA-based typing from forensic material. Biotechniques 10:506–513PubMedGoogle Scholar
  28. Wang J, Whitlock MC (2003) Estimating effective population size and migration rates from genetic samples over space and time. Genetics 163:429–446PubMedGoogle Scholar
  29. Waples RS (1989) A generalized approach for estimating effective population size from temporal changes in allele frequency. Genetics 121:379–391PubMedGoogle Scholar
  30. Waples RS (1991) Genetic method for estimating the effective size of cetacean populations. Rep Int Whal Commn (special issue 13): 279–300Google Scholar
  31. Waples RS (2006) A bias correction for estimates of effective population size based on linkage disequilibrium at unlinked gene loci. Conserv Gen 7:167–184CrossRefGoogle Scholar
  32. Waples RS, Yokota M (2007) Temporal estimates of effective population size in species with overlapping generations. Genetics 175:219–233CrossRefPubMedGoogle Scholar
  33. Weir BS, Cockerham CC (1984) Estimating F-statistics for the analysis of population structure. Evolution 38:1358–1370CrossRefGoogle Scholar
  34. Wirth T, Saint-Laurent R, Louis B (1999) Isolation and characterization of microsatellite loci in the walleye (Stizostedion vitreum), and cross-species amplification within the family Percidae. Mol Ecol 8:1960–1963CrossRefPubMedGoogle Scholar
  35. Wright S (1931) Evolution in Mendelian populations. Genetics 16:97–159PubMedGoogle Scholar
  36. Yamamoto S, Morita K, Koizumi I, Maekawa K (2004) Genetic differentiation of white-spotted charr (Salvelinus leucomaenis) populations after habitat fragmentation: spatial-temporal changes in gene frequencies. Cons. Gen. 5:529–538CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Department of Animal Ecology, Evolutionary Biology CentreUppsala UniversityUppsalaSweden

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